[{"content":"I am the Director of the Tandil Scientific and Technological Center (CCT CONICET Tandil) and Director of the Tandil Institute of Software Engineering (ISISTAN) of the National University of the Center of Buenos Aires Province and the National Scientific and Technical Research Council (CONICET). I am a full professor at the Department of Computing, Faculty of Exact Sciences and a Superior Researcher of CONICET.\nResearch Interests # Contact Information # Phone +54 (249) 4385682 ext. 2303 or +54 (249) 4385650 ext. 2303 Address ISISTAN, Campus Universitario, Facultad de Ciencias Exactas, Universidad Nacional del Centro de la Provincia de Buenos Aires, Paraje Arroyo Seco, (B7001BBO) Tandil, Buenos Aires, Argentina ","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/","section":"Alejandro Zunino","summary":"","title":"Alejandro Zunino"},{"content":"7-10 January 2025, Hilton Waikoloa Village, Big Island, Hawaii. HICSS Website #MINITRACK DESCRIPTION #The development of software has provided ample opportunities for research, provides ample opportunities, and likely will provide ample opportunities. Not long ago, the proliferation of mobile computing opened up a new stream of research, then the same happened with the Internet-of-Things (IoT) and Cyber-Physical Systems (CPS). Fog, edge, and dew computing and the convergence of technologies likely will continue this trend. All these topics seemingly provide completely new endeavors; with a closer look, however, they can draw from what is already known – both regarding typical problems and regarding solutions.\nExperiences and methods from classical software development can only be utilized to some degree when solving challenges that arise from new application, changing environment, and demanding domains. Development is complicated by the often faced need to develop for a multitude of platforms. With the emergence of multi-platform and multi-device, the new golden standard are applications not only across software ecosystems, but across hardware platforms such as laptop, mobile, tablets, embedded devices, sensors, and wearables. Therefore, new threads of research are needed to tackle these issues and to pave the way for improved software development, better business producibility and improved user experience (UX).\nFurther, there are novel developments in machine learning and analysis, and the emergence of multifaceted aspects of artificial intelligence (AI), ranging from algorithms to ethical AI, secure AI and sustainable AI perspectives. This creates new opportunities for groundbreaking research through distributed machine learning, federated learning, edge analytics and computational collaboration between several heterogenous systems and device forms.\nThis minitrack started as Mobile App Development (HICSS-49 and HICSS-50) before broadening to Software Development for Mobile Devices, Wearables, and the Internet-of-Things (HICSS-51 and HICSS-52). We then (HICSS-53 through HICSS-56) adapted the minitrack to the continuously changing landscape to keep it attractive to the community, tackling Software Development for Mobile Devices, the Internet-of-Things, and Cyber-Physical Systems. We have now made the move to a general software technology and software development minitrack (starting with HICSS-57). We thus combine tradition and consistence with agility and openness. Our minitrack invites researchers from software engineering, human-computer interaction, information systems, computer science, electrical engineering, and any other discipline that contributes to how software is designed, implemented, tested, and deployed.\nThe minitrack is devoted to the technological background while keeping an eye on business value, user experience, and domain-specific issues. Contributions may take a sociotechnical view or report on technological progress. We are particularly interested in applied software technology but also welcome theoretical work.\nTopics of interests include the full spectrum of research on software development, for example (but not limited to):\nCase studies of development Development methods, software architectures, and specification techniques Economic and social impact, behavioral aspects Software engineering education User interface (UI) design and user experience (UX) research Hybrid and cross-platform development Web technology Security, safety, and privacy Energy-efficient computing Machine learning on device The convergence between mobile devices, IoT, and CPS Fog, edge, and dew computing and their computational applications IMPORTANT DATES # 15 June 2024: Submission of full manuscripts 17 August 2024: Acceptance notifications For formatting instructions, see HICSS website. We recommend using the LaTeX template.\nPlease consider approaching us with an abstract to check suitability to the minitrack. In case of questions, please feel free to contact us any time.\nMINITRACK CO-CHAIRS: #Tim A. Majchrzak (Primary Contact) University of Agder Phone: +47 38 14 1982 email: timam@uia.no\nTor-Morten Grønli Kristiania University College email: tor-morten.gronli@kristiania.no\nHermann Kaindl TU Wien email: kaindl@ict.tuwien.ac.at\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/posts/2024-03-19-hicss/","section":"Posts","summary":"","title":"HICSS 2025 Minitrack - Software Technology and Software Development (Software Technology Track)"},{"content":"","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/posts/","section":"Posts","summary":"","title":"Posts"},{"content":"The International Journal of Intelligent Networks (IJIN) presents the most recent challenges and developments in computer networks with the objective of promoting awareness and best practices for real-world problems. It aims to present new directions for further research and technology improvements in this important area.\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/posts/2023-09-29-ijin/","section":"Posts","summary":"","title":"Submit your research to the International Journal of Intelligent Networks"},{"content":"","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/news/","section":"News","summary":"","title":"News"},{"content":"Our paper Speeding up Smartphone-Based Dew Computing: In Vivo Experiments Setup Via an Evolutionary Algorithm has been published in Sensors.\n","date":"14 September 2023","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement13/","section":"News","summary":"","title":"Paper published in Sensors"},{"content":"Submit your research to the 4th Edge Computing Workshop before January 7, 2024.\n","date":"2 September 2023","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement12/","section":"News","summary":"","title":"Submit to 4th Edge Computing Workshop"},{"content":"We are proud to present a new Android keyboard with support for the Pilagá language. This enables full support for Pilaga special characters and predictive text on Android based smartphones.\nUn proyecto de especialistas del CONICET busca adaptar el idioma pilagá a teclados de celulares Un proyecto del CONICET busca adaptar el idioma pilagá a los teclados de los celulares Un proyecto de especialistas del CONICET y una lingüista de Formosa pretende adaptar el idioma pilagá a teclados de celulares Proyecto interdisciplinario para posibilitar el uso del idioma pilagá Proyecto del CONICET busca adaptar el idioma Pilagá a los teclados de celulares Llevaron a cabo jornada de capacitación de maestros especiales de modalidad aborigen pilagá Buscan sumar el uso del idioma pilagá en dispositivos móviles ","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/posts/2023-08-31-pilaga/","section":"Posts","summary":"","title":"New Android keyboard enables the Pilaga language on smartphones"},{"content":"Our paper LiveDewStream: A stream processing platform for running in-lab distributed deep learning inferences on smartphone clusters at the edge has been accepted in SoftwareX.\n","date":"26 November 2022","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement11/","section":"News","summary":"","title":"Paper accepted in SoftwareX"},{"content":"Submit your research to the The 38th ACM/SIGAPP Symposium On Applied Computing, Web Engineering track.\n","date":"23 August 2022","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement9/","section":"News","summary":"","title":"Submit to SAC 2023 Web Engineering track"},{"content":"Our paper Motrol: A hardware-software device for batch benchmarking and profiling of in-lab mobile device clusters has been accepted in HardwareX.\n","date":"22 July 2022","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement10/","section":"News","summary":"","title":"Paper accepted in HardwareX"},{"content":"3-6 January 2023, Hyatt Regency, Maui. HICSS Website #MINITRACK DESCRIPTION #Applications for mobile devices (apps) have facilitated the success of smartphones and tablets. By using apps, the multi-purpose hardware of modern devices can be utilized to the full extent. Despite much progress in development methods, software development kits, and frameworks, app development poses many challenges. This is even more so for novel mobile devices such as wearables and for the hardware that constitutes the Internet-of-Things (IoT) and Cyber-Physical Systems (CPS). Compatibility, performance, battery-saving, and security and safety are only some of the issues that are mainly driven by the quality of the used software. A satisfying level of this quality in many cases is very hard to achieve and proper techniques for testing and formal verification are needed.\nExperiences and methods from classical software development can only be utilized to some degree. Moreover, the inherent challenges of the respective new devices ask for novel solutions. The challenges sketched above are reinforced by the conditions that development activities meet. Typical particularities include the need for multi-platform development, device fragmentation, context-sensitivity, low computational power, little memory, energy conservation requirements, and the heterogeneity of users. With the emergence of multi-platform and multi-device, the new golden standard are applications not only across software ecosystems, but across hardware platforms such as laptop, mobile, tablets, embedded devices, sensors, and wearables. Therefore, new threads of research are needed to tackle these issues and to pave the way for improved software development, better business producibility and improved user experience (UX).\nFurther, there are novel developments in machine learning and analysis, and the emergence of multifaceted aspects of artificial intelligence (AI), ranging from algorithms to ethical AI, secure AI and sustainable AI perspectives. On mobile, IoT and CPS, this creates new opportunities for groundbreaking research through distributed machine learning, federated learning, edge analytics and computational collaboration between several heterogenous systems and device forms.\nThis minitrack started as Mobile App Development (HICSS-49 and HICSS-50) before broadening to Software Development for Mobile Devices, Wearables, and the Internet-of-Things (HICSS-51 and HICSS-52). We then (HICSS-53, HICSS-54, and HICSS-55) adapted the minitrack to the continuously changing landscape to keep it attractive to the community. Our minitrack invites researchers from software engineering, human-computer interaction, information systems, computer science, electrical engineering, and any other discipline that contributes to the topics covered by our minitrack.\nThe minitrack is devoted to the technological background of mobile computing while keeping an eye on business value, user experience, and domain-specific issues. Contributions may take a sociotechnical view or report on technological progress. Topics of interests include the full spectrum of research on mobile devices, IoT, and CPS, for example (but not limited to):\nCase studies of development Development methods, software architectures, and specification techniques Economic and social impact, behavioral aspects Software engineering education User interface (UI) design and user experience (UX) research Testing, simulation, and formal verification Hybrid and cross-platform development, Progressive Web Apps (PWA) Web technology Security, safety, and privacy Legal aspects of software Energy-efficient computing Sensor-usage Machine learning on device Collaborative applications and systems The convergence between mobile devices, IoT, and CPS Fog, edge, and dew computing and their computational applications IMPORTANT DATES # 15 June 2022: Submission of full manuscripts 17 August 2022: Acceptance notifications For formatting instructions, see HICSS website. We recommend using the LaTeX template.\nPlease consider approaching us with an abstract to check suitability to the minitrack. In case of questions, please feel free to contact us any time.\nPOSSIBLE PAPER EXTENSION #Authors of selected articles will be invited to fast-track extended and revised versions of their work to the Journal of Pervasive Computing and Communications (Emerald).\nMINITRACK CO-CHAIRS: #Tim A. Majchrzak (Primary Contact) University of Agder Phone: +47 38 14 1982 email: timam@uia.no\nTor-Morten Grønli Kristiania University College email: tor-morten.gronli@kristiania.no\nHermann Kaindl TU Wien email: kaindl@ict.tuwien.ac.at\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/posts/2022-06-07-hicss/","section":"Posts","summary":"","title":"CFP HICSS 2023 Minitrack - Software Development for Mobile Devices, the Internet-of-Things, and Cyber-Physical Systems (Software Technology Track)"},{"content":"Submit your research to the HICSS 2023 Minitrack: Software Development for Mobile Devices, the Internet-of-Things, and Cyber-Physical Systems.\n","date":"7 June 2022","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement8/","section":"News","summary":"","title":"Submit to HICSS 2023 Minitrack"},{"content":"Our paper A Task Execution Scheme for Dew Computing with State-of-the-Art Smartphones has been accepted in Electronics, special issue \u0026ldquo;Edge Computing for Internet of Things\u0026rdquo;.\n","date":"19 August 2021","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement7/","section":"News","summary":"","title":"Paper accepted in Electronics"},{"content":"4-7 January 2022, Hyatt Regency, Maui. HICSS Website #MINITRACK DESCRIPTION #Applications for mobile devices (apps) have facilitated the success of smartphones and tablets. By using apps, the multi-purpose hardware of modern devices can be utilized to the full extent. Despite much progress in development methods, software development kits, and frameworks, app development poses many challenges. This is even more so for novel mobile devices such as wearables and for the hardware that constitutes the Internet-of-Things (IoT) and Cyber-Physical Systems (CPS). Compatibility, performance, battery-saving, and security and safety are only some of the issues that are mainly driven by the quality of the used software. A satisfying level of this quality in many cases is very hard to achieve and proper techniques for testing and formal verification are needed.\nExperiences and methods from classical software development can only be utilized to some degree. Moreover, the inherent challenges of the respective new devices ask for novel solutions. The challenges sketched above are reinforced by the conditions that development activities meet. Typical particularities include the need for multi-platform development, device fragmentation, context-sensitivity, low computational power, little memory, energy conservation requirements, and the heterogeneity of users. With the emergence of multi-platform and multi-device, the new golden standard are applications not only across software ecosystems, but across hardware platforms such as laptop, mobile, tablets, embedded devices, sensors and wearables. Therefore, new threads of research are needed to tackle these issues and to pave the way for improved software development, better business producibility and improved user experience (UX).\nThis minitrack started as Mobile App Development (HICSS-49 and HICSS-50) before broadening to Software Development for Mobile Devices, Wearables, and the Internet-of-Things (HICSS-51 and HICSS-52). In its fifth and sixth year (HICSS-53 and HICSS-54), we adapted it to the continuously changing landscape to keep it attractive to the community. Our minitrack invites researchers from software engineering, human-computer interaction, information systems, computer science, electrical engineering, and any other discipline that contributes to the topics covered by our minitrack.\nThe minitrack is devoted to the technological background of mobile computing while keeping an eye on business value, user experience, and domain-specific issues. Contributions may take a sociotechnical view or report on technological progress. Topics of interests include the full spectrum of research on mobile devices, IoT, and CPS, for example (but are not limited to):\nCase studies of development Development methods and specification techniques Economic and social impact Software engineering education User interface (UI) design and user experience (UX) research Testing, simulation, and formal verification Hybrid and cross-platform development, Progressive Web Apps (PWA) Web technology Security, safety, and privacy Legal aspects of software Energy-efficient computing Sensor-usage The convergence between mobile devices, IoT, and CPS Fog, edge, and dew computing and their computational applications IMPORTANT DATES # 15 June 2021: Submission of full manuscripts 17 August 2021: Acceptance notifications For formatting instructions, see HICSS website. We recommend using the LaTeX template.\nPlease consider approaching us with an abstract to check suitability to the minitrack. In case of questions, please feel free to contact us any time.\nPOSSIBLE PAPER EXTENSION #Authors of selected articles will be invited to fast-track extended and revised versions of their work to the Journal of Pervasive Computing and Communications (Emerald).\nMINITRACK CO-CHAIRS: #Tim A. Majchrzak (Primary Contact) University of Agder Phone: +47 38 14 1982 email: timam@uia.no\nTor-Morten Grønli Kristiania University College email: tor-morten.gronli@kristiania.no\nHermann Kaindl TU Wien email: kaindl@ict.tuwien.ac.at\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/posts/2021-04-13-hicss/","section":"Posts","summary":"","title":"CFP HICSS 2022 Minitrack - Software Development for Mobile Devices, the Internet-of-Things, and Cyber-Physical Systems (Software Technology Track)"},{"content":"Submit your research to the HICSS 2022 Minitrack: Software Development for Mobile Devices, the Internet-of-Things, and Cyber-Physical Systems.\n","date":"13 April 2021","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement6/","section":"News","summary":"","title":"Submit to HICSS 2022 Minitrack"},{"content":"The SI Recent Trends and Challenges in Fog/Edge Computing for Internet of Things of Wireless Communications and Mobile Computing has been published and includes our latest paper New Heuristics for Scheduling and Distributing Jobs under Hybrid Dew Computing Environments.\n","date":"22 February 2021","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement5/","section":"News","summary":"","title":"New paper in Wireless Communications and Mobile Computing"},{"content":"Our paper A platform for automating battery-driven batch benchmarking and profiling of Android-based mobile devices has been accepted in Simulation Modelling Practice and Theory.\n","date":"22 February 2021","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement4/","section":"News","summary":"","title":"Paper accepted in Simulation Modelling Practice and Theory"},{"content":"Our paper A Simulation-based Performance Evaluation of Heuristics for Dew Computing has been accepted in HICSS.\n","date":"29 December 2020","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement3/","section":"News","summary":"","title":"Paper accepted at HICSS"},{"content":"More information on Twitter.\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/posts/2020-11-12-newmembers/","section":"Posts","summary":"","title":"Welcome Matias and Juan Manuel!"},{"content":"The Special Issue of FGCS on Edge Computing has been published.\n","date":"3 June 2020","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement2/","section":"News","summary":"","title":"FGCS Special Issue published"},{"content":"The Special Issue co-edited with Cristian Mateos and Kim-Kwang Raymond Choo has been published.\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/posts/2020-06-03-fgcssi/","section":"Posts","summary":"","title":"Special Issue on Novel edge computing-inspired approaches and paradigms for mobile IoT applications"},{"content":"The Web mapping application for displaying the Life Quality Index of Argentina has been visited by more than 800000 different users in 5 days. It has also received wide media coverage:\nLa Nacion: Mapa de la calidad de vida en la Argentina: ¿dónde se vive mejor? Clarín La Voz Infobae El Resaltador Ya Te Cuento Infopico Ámbito El Diario de Tandil Los Andes ","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/posts/2019-10-07-icvmedia/","section":"Posts","summary":"","title":"Our work receives wide media coverage"},{"content":"Our work receives wide media coverage.\n","date":"7 October 2019","permalink":"https://users.exa.unicen.edu.ar/~azunino/news/announcement1/","section":"News","summary":"","title":"Wide media coverage"},{"content":"Proyecto financiado por la Agencia Nacional de Promoción Científica y Tecnológica. Directores: Dr. Claudio Machado y Dr. Alejandro Zunino. Duración: 3 años. 02/2015-02/2018.\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/projects/dtec2013/","section":"Projects","summary":"","title":"Ampliación de la capacidad tecnológica interdisciplinaria para una mayor y más efectiva adopción de TICs en producción animal"},{"content":"","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/categories/","section":"Categories","summary":"","title":"Categories"},{"content":"My curriculum vitae is available as a PDF: Download CV\nUnable to display PDF file. Download instead.\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/cv/","section":"Alejandro Zunino","summary":"","title":"CV"},{"content":"Proyecto financiado por la Agencia Nacional de Promoción Científica y Tecnológica. Director (Investigador responsable). Duración: 3 años. 29/08/2014 a 28/08/2018.\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/projects/pict2013/","section":"Projects","summary":"","title":"Desarrollo de Software Distribuido Orientado a Servicios Energéticamente Eficiente para Dispositivos Móviles"},{"content":"Proyecto financiado por CONICET. Director (Titular). Duración: 3 años. 2013-2015.\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/projects/pip2013/","section":"Projects","summary":"","title":"Grids Híbridos Orientados a Servicios: Middleware y Herramientas para Soportar Algoritmos para Sistemas de Recomendación"},{"content":"Proyecto financiado por la Agencia Nacional de Promoción Científica y Tecnológica. Director (Investigador responsable). Monto: $1159500. Duración: 3 años. 24/09/2019 a 24/09/2022.\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/projects/pict2018/","section":"Projects","summary":"","title":"Infraestructuras Distribuidas Híbridas para Soportar la Ejecución de Algoritmos para Sistemas de Recomendación"},{"content":"Proyecto financiado por la Agencia Nacional de Promoción Científica y Tecnológica. Director (Investigador responsable). Duración: 2 años. 30/09/2004 a 30/06/2007.\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/projects/pict2003/","section":"Projects","summary":"","title":"Modelos y Herramientas para Simplificar el Desarrollo de Agentes Móviles"},{"content":" Middleware para clústers de dispositivos móviles en el Edge orientado a la ejecución de aplicaciones basadas en deep learning. Proyecto PIP 2022-2024 Grupo Investigación. Financiado por el CONICET. Codirector. Monto: $2091500. Duración: 2 años. 2022 a 2024. Nutrición materna y crecimiento prenatal e infantil en la postpandemia: herramientas de monitoreo en poblaciones vulnerables del Área Metropolitana de Buenos Aires. Proyecto C11. Financiado por el Programa Ciencia y Tecnología contra el Hambre. Duración: 1 año. Monto: $768000. 08/2021-08/2023. Infraestructuras Distribuidas Híbridas para Soportar la Ejecución de Algoritmos para Sistemas de Recomendación. Proyecto PICT 2018 03323. Financiado por la Agencia Nacional de Promoción Científica y Tecnológica. Director (Investigador responsable). Monto: $1159500. Duración: 3 años. 24/09/2019 a 24/09/2022. Plataforma de Servicios para el Desarrollo de Software de Ciudades Inteligentes. Proyecto de Unidad Ejecutora ISISTAN. Financiado por CONICET. Directores: Dr. Andrés Diaz Pace y Dr. Alejandro Zunino. Duración: 5 años. 07/2017-07/2022. Ampliación de la capacidad tecnológica interdisciplinaria para una mayor y más efectiva adopción de TICs en producción animal. Proyecto D-TEC 2013 0005/13. Financiado por la Agencia Nacional de Promoción Científica y Tecnológica. Directores: Dr. Claudio Machado y Dr. Alejandro Zunino. Duración: 3 años. 02/2015-02/2018. Desarrollo de Software Distribuido Orientado a Servicios Energéticamente Eficiente para Dispositivos Móviles. Proyecto PICT 2013 0464. Financiado por la Agencia Nacional de Promoción Científica y Tecnológica. Director (Investigador responsable). Duración: 3 años. 29/08/2014 a 28/08/2018. Grids Híbridos Orientados a Servicios: Middleware y Herramientas para Soportar Algoritmos para Sistemas de Recomendación. Proyecto PIP 2013-2015 Grupo Investigación (11220120100185CO). Financiado por el CONICET. Director (Titular). Duración: 3 años. 2013-2015. Sistema de Detección de Intrusos basado en agentes heterogéneos distribuidos (RC/09/10), proyecto de Cooperación Científico-Tecnológica entre el Ministerio de Ciencia, Tecnología e Innovación Productiva de la República Argentina (MINCyT) y el Ministry of Education, Youth and Sports (MEYS) de la República Checa. Director. Duración: 2 años. 2010-2011. Servicios Web Semánticos Móviles. Proyecto PAE-PICT 2007 02311. Financiado por la Agencia Nacional de Promoción Científica y Tecnológica. Director (Investigador responsable). Duración: 3 años. 21/08/2009 a 20/02/2013. Métodos y Herramientas para sistemas masivamente distribuidos. Proyecto PAE-PICT 2007 02312. Miembro del grupo de investigadores responsables. Financiado por la Agencia Nacional de Promoción Científica y Tecnológica. Duración: 3 años. 21/08/2009 a 20/02/2013. Modelos y Herramientas para Simplificar el Desarrollo de Agentes Móviles. Proyecto PICT 2003 13465. Financiado por la Agencia Nacional de Promoción Científica y Tecnológica. Director (Investigador responsable). Duración: 2 años. 30/09/2004 a 30/06/2007. Agentes de Interfaz Móviles para Soporte a Procesos de Educación en la Web. Miembro del grupo de investigadores responsables. Subproyecto 2, Proyecto PICT-PAV 2003 127: Red para la Promoción de las Tecnologías de la Información y las Comunicaciones - ProTIC. Participantes: Universidad Nacional del Centro de la Pcia. de Bs. As., Universidad Nacional de Santiago del Estero, IRICE (CERIDER - CONICET), Universidad Tecnológica Nacional, Regional Santa Fé INGAR (CONICET), Universidad Nacional de Cuyo. Director del Proyecto: Dr. Alejandro Cecatto. Duración: 3 años. Below are some showcased projects with more details.\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/projects/","section":"Projects","summary":"","title":"Projects"},{"content":"2024 # Virginia Yannibelli, Matías Hirsch, Juan Toloza, Tim A. Majchrzak, Tor-Morten Grønli, Alejandro Zunino, and Cristian Mateos. \u0026ldquo;BAGESS: A Software Module Based on a Genetic Algorithm to Sequentially Order Load-Balancing Evaluation Scenarios Over Smartphone-Based Clusters at the Edge\u0026rdquo;. IEEE Access, vol. 12, pp. 145893-145919. 2024. DOI 2023 # \u0026ldquo;Karmakar. \u0026ldquo;DewMonitor: Dew Computing Monitoring System for Sustainable IoT\u0026rdquo;. Dew Computing: The Sustainable IoT Perspectives, pp. 61\u0026ndash;78. 2023. DOI | URL Virginia Yannibelli, Matías Hirsch, Juan Toloza, Tim A. Majchrzak, Alejandro Zunino, and Cristian Mateos. \u0026ldquo;Speeding up Smartphone-Based Dew Computing: In Vivo Experiments Setup Via an Evolutionary Algorithm\u0026rdquo;. Sensors, vol. 23, no. 3. 2023. DOI | URL 2022 # Mauricio Arroqui, Juan Francisco Ferreira, Maximiliano Omar Roselli, Juan Rodriguez Alvarez, Claudio Fabian Machado, Cristian Mateos, and Alejandro Zunino. \u0026ldquo;A Simulation Scheduling Module to Improve User Experience in the Simugan Beef-Cattle Farm Simulator\u0026rdquo;. IEEE Latin America Transactions, vol. 20, no. 1, pp. 162-170. 2022. DOI C. Mateos, M. Hirsch, J. Toloza, and A. Zunino. \u0026ldquo;LiveDewStream: A stream processing platform for running in-lab distributed deep learning inferences on smartphone clusters at the edge\u0026rdquo;. SoftwareX. 2022. DOI J. Toloza, M. Hirsch, C. Mateos, and A. Zunino. \u0026ldquo;Motrol: A hardware-software device for batch benchmarking and profiling of in-lab mobile device clusters\u0026rdquo;. HardwareX. 2022. DOI 2021 # Juan Celemin, Guillermo Velázquez, Alejandro Zunino, Cristian Mateos, Matias Hirsch, and Juan Manuel Rodríguez. \u0026ldquo;Comparacion de la Calidad de Vida en la Argentina en Escala Censal y Departamental a Partir del Diseño de una Aplicacion Web\u0026rdquo;. Para Onde!?, vol. 15, no. 1, pp. 135\u0026ndash;151. 2021. DOI | URL Mauricio Arroqui, Juan Francisco Ferreira, Maximiliano Omar Roselli, Juan Rodriguez Alvarez, Claudio Fabian Machado, Cristian Mateos, and Alejandro Zunino. \u0026ldquo;A Simulation Scheduling Module to Improve User Experience in the Simugan Beef-Cattle Farm Simulator\u0026rdquo;. IEEE Latin America Transactions, vol. 100, no. XXX. 2021. URL M. Hirsch, C. Mateos, A. Zunino, T. Majchrzak, T-M Grønli, and H. Kaindl. \u0026ldquo;A Task Execution Scheme for Dew Computing with State-of-the-Art Smartphones\u0026rdquo;. Electronics, vol. 10, no. 16. 2021. DOI | URL Matías Hirsch, Cristian Mateos, Alejandro Zunino, and Juan Toloza. \u0026ldquo;A platform for automating battery-driven batch benchmarking and profiling of Android-based mobile devices\u0026rdquo;. Simulation Modelling Practice and Theory, vol. 109, pp. 102266. 2021. DOI | URL P. Sanabria, T.F. Tapia, A. Neyem, J.I. Benedetto, M. Hirsch, C. Mateos, and A. Zunino. \u0026ldquo;New Heuristics for Scheduling and Distributing Jobs under Hybrid Dew Computing Environments\u0026rdquo;. Wireless Communications and Mobile Computing, vol. 2021. 2021. DOI | URL M. Hirsch, C. Mateos, A. Zunino, T. Majchrzak, T-M Grønli, and H. Kaindl. \u0026ldquo;A Simulation-based Performance Evaluation of Heuristics for Dew Computing\u0026rdquo;. Proceedings - Hawaii International Conference on System Sciences, HICSS. 2021. URL 2020 # A. Zunino, G. Velázquez, J.P. Celemín, C. Mateos, M. Hirsch, and J.M. Rodriguez. \u0026ldquo;Evaluating the performance of three popular web mapping libraries: A case study using Argentina\u0026rsquo;s life quality index\u0026rdquo;. ISPRS International Journal of Geo-Information, vol. 9, no. 10. 2020. DOI | URL I. Lizarralde, C. Mateos, A. Zunino, T.A. Majchrzak, and T.-M. Grønli. \u0026ldquo;Discovering web services in social web service repositories using deep variational autoencoders\u0026rdquo;. Information Processing and Management, vol. 57, no. 4. 2020. DOI | URL C. Mateos, K.-K.R. Choo, and A. Zunino. \u0026ldquo;Sharpening the edge: Towards improved edge computing environment for mobile and IoT applications\u0026rdquo;. Future Generation Computer Systems, vol. 107, pp. 1130-1133. 2020. DOI | URL M. Hirsch, C. Mateos, J.M. Rodriguez, and A. Zunino. \u0026ldquo;DewSim: A trace-driven toolkit for simulating mobile device clusters in Dew computing environments\u0026rdquo;. Software - Practice and Experience, vol. 50, no. 5, pp. 688-718. 2020. DOI | URL A. Corbellini, D. Godoy, C. Mateos, S. Schiaffino, and A. Zunino. \u0026ldquo;An Analysis of Distributed Programming Models and Frameworks for Large-scale Graph Processing\u0026rdquo;. IETE Journal of Research. 2020. DOI | URL 2019 # P. Sanabria, T.F. Tapia, J.I. Benedetto, M. Hirsch, C. Mateos, and A. Zunino. \u0026ldquo;A performance comparison of heuristics for scheduling jobs in hybrid mobile topologies\u0026rdquo;. Proceedings - International Conference of the Chilean Computer Science Society, SCCC, vol. 2019-November. 2019. DOI | URL M. Longo, A. Rodríguez, C. Mateos, and A. Zunino. \u0026ldquo;Reducing energy usage in resource-intensive java-based scientific applications via micro-benchmark based code refactorings\u0026rdquo;. Computer Science and Information Systems, vol. 16, no. 2, pp. 541-561. 2019. DOI | URL I. Lizarralde, C. Mateos, J.M. Rodriguez, and A. Zunino. \u0026ldquo;Exploiting named entity recognition for improving syntactic-based web service discovery\u0026rdquo;. Journal of Information Science, vol. 45, no. 3, pp. 398-415. 2019. DOI | URL L.E. Sánchez, J.A. Diaz-Pace, and A. Zunino. \u0026ldquo;A family of heuristic search algorithms for feature model optimization\u0026rdquo;. Science of Computer Programming, vol. 172, pp. 264-293. 2019. DOI | URL J.R. Alvarez, M. Arroqui, P. Mangudo, J. Toloza, D. Jatip, J.M. Rodriguez, A. Teyseyre, C. Sanz, A. Zunino, C. Machado, and C. Mateos. \u0026ldquo;Estimating body condition score in dairy cows from depth images using convolutional neural networks, transfer learning and model ensembling techniques\u0026rdquo;. Agronomy, vol. 9, no. 2. 2019. DOI | URL C. Mateos, A. Zunino, A. Flores, and S. Misra. \u0026ldquo;COBOL systems migration to SOA: Assessing antipatterns and complexity\u0026rdquo;. Information Technology and Control, vol. 48, no. 1, pp. 71-89. 2019. DOI | URL M. Longo, M. Hirsch, C. Mateos, and A. Zunino. \u0026ldquo;Towards integrating mobile devices into dew computing: A model for hour-wise prediction of energy availability\u0026rdquo;. Information (Switzerland), vol. 10, no. 3. 2019. DOI | URL 2018 # M. Garriga, A.D. Renzis, I. Lizarralde, A. Flores, C. Mateos, A. Cechich, and A. Zunino. \u0026ldquo;A structural-semantic web service selection approach to improve retrievability of web services\u0026rdquo;. Information Systems Frontiers, vol. 20, no. 6, pp. 1319-1344. 2018. DOI | URL J. Rodríguez Alvarez, M. Arroqui, P. Mangudo, J. Toloza, D. Jatip, J.M. Rodriguez, A. Teyseyre, C. Sanz, A. Zunino, C. Machado, and C. Mateos. \u0026ldquo;Body condition estimation on cows from depth images using Convolutional Neural Networks\u0026rdquo;. Computers and Electronics in Agriculture, vol. 155, pp. 12-22. 2018. DOI | URL M. Hirsch, C. Mateos, and A. Zunino. \u0026ldquo;Augmenting computing capabilities at the edge by jointly exploiting mobile devices: A survey\u0026rdquo;. Future Generation Computer Systems, vol. 88, pp. 644-662. 2018. DOI | URL M. Hirsch, C. Mateos, and A. Zunino. \u0026ldquo;Practical criteria for scheduling CPU-bound jobs in mobile devices at the edge\u0026rdquo;. Proceedings - 2018 IEEE International Conference on Cloud Engineering, IC2E, pp. 340-345. 2018. DOI | URL M. Hirsch, A. Rodríguez, J.M. Rodriguez, C. Mateos, and A. Zunino. \u0026ldquo;Spotting and Removing WSDL Anti-pattern Root Causes in Code-first Web Services Using NLP Techniques: A Thorough Validation of Impact on Service Discoverability\u0026rdquo;. Computer Standards and Interfaces, vol. 56, pp. 116-133. 2018. DOI | URL M. Longo, C. Mateos, and A. Zunino. \u0026ldquo;A Model for Hour-Wise Prediction of Mobile Device Energy Availability\u0026rdquo;. Advances in Intelligent Systems and Computing, vol. 738, pp. 351-358. 2018. DOI | URL A. Corbellini, D. Godoy, C. Mateos, S. Schiaffino, and A. Zunino. \u0026ldquo;Task scheduling for processing big graphs in heterogeneous commodity clusters\u0026rdquo;. Communications in Computer and Information Science, vol. 796, pp. 235-249. 2018. DOI | URL A. Corbellini, D. Godoy, C. Mateos, S. Schiaffino, and A. Zunino. \u0026ldquo;DPM: A novel distributed large-scale social graph processing framework for link prediction algorithms\u0026rdquo;. Future Generation Computer Systems, vol. 78, pp. 474-480. 2018. DOI | URL 2017 # A.P. Campos, J.M. Rodriguez, and A. Zunino. \u0026ldquo;An empirical evaluation of a simple energy aware scheduler for mobile grids\u0026rdquo;. 2017 43rd Latin American Computer Conference, CLEI, vol. 2017-January, pp. 1-9. 2017. DOI | URL I. Lizarralde, J.M. Rodriguez, C. Mateos, and A. Zunino. \u0026ldquo;Word embeddings for improving REST services discoverability\u0026rdquo;. 2017 43rd Latin American Computer Conference, CLEI, vol. 2017-January, pp. 1-8. 2017. DOI | URL M. Hirsch, C. Mateos, J.M. Rodriguez, A. Zunino, Y. Garí, and D.A. Monge. \u0026ldquo;A performance comparison of data-aware heuristics for scheduling jobs in mobile grids\u0026rdquo;. 2017 43rd Latin American Computer Conference, CLEI, vol. 2017-January, pp. 1-8. 2017. DOI | URL A. Tommasel, D. Godoy, and A. Zunino. \u0026ldquo;SMArtOp: A Java library for distributing high-dimensional sparse-matrix arithmetic operations\u0026rdquo;. Science of Computer Programming, vol. 150, pp. 26-30. 2017. DOI | URL D. Anabalon, A. Flores, C. Mateos, A. Zunino, and S. Misra. \u0026ldquo;Controlling complexity of web services interfaces through a metrics-driven approach\u0026rdquo;. Proceedings of the IEEE International Conference on Computing, Networking and Informatics, ICCNI, vol. 2017-January, pp. 1-9. 2017. DOI | URL A. Corbellini, D. Godoy, C. Mateos, A. Zunino, and I. Lizarralde. \u0026ldquo;Mining social web service repositories for social relationships to aid service discovery\u0026rdquo;. IEEE International Working Conference on Mining Software Repositories, pp. 75-79. 2017. DOI | URL A. Tommasel, D. Godoy, A. Zunino, and C. Mateos. \u0026ldquo;A distributed approach for accelerating sparse matrix arithmetic operations for high-dimensional feature selection\u0026rdquo;. Knowledge and Information Systems, vol. 51, no. 2, pp. 459-497. 2017. DOI | URL M. Hirsch, J.M. Rodriguez, C. Mateos, and A. Zunino. \u0026ldquo;A Two-Phase Energy-Aware Scheduling Approach for CPU-Intensive Jobs in Mobile Grids\u0026rdquo;. Journal of Grid Computing, vol. 15, no. 1, pp. 55-80. 2017. DOI | URL A. De Renzis, M. Garriga, A. Flores, A. Cechich, C. Mateos, and A. Zunino. \u0026ldquo;A domain independent readability metric for web service descriptions\u0026rdquo;. Computer Standards and Interfaces, vol. 50, pp. 124-141. 2017. DOI | URL C. Mateos, A. Zunino, S. Misra, D. Anabalon, and A. Flores. \u0026ldquo;Keeping Web Service interface complexity low using an OO metric-based early approach\u0026rdquo;. Proceedings of the 2016 42nd Latin American Computing Conference, CLEI. 2017. DOI | URL A. De Renzis, M. Garriga, A. Flores, A. Cechich, C. Mateos, and A. Zunino. \u0026ldquo;Assessing readability of Web service interfaces\u0026rdquo;. Proceedings of the 2016 42nd Latin American Computing Conference, CLEI. 2017. DOI | URL J.M. Rodriguez, D. Godoy, C. Mateos, and A. Zunino. \u0026ldquo;A multi-core computing approach for large-scale multi-label classification\u0026rdquo;. Intelligent Data Analysis, vol. 21, no. 2, pp. 329-352. 2017. DOI | URL M. Garriga, A. De Renzis, A. Flores, A. Cechich, and A. Zunino. \u0026ldquo;Assessing Web Services interfaces with lightweight semantic basis\u0026rdquo;. Computing and Informatics, vol. 36, no. 5, pp. 1173-1206. 2017. DOI | URL C. Mateos, A. Zunino, S. Misra, D. Anabalon, and A. Flores. \u0026ldquo;Migration from COBOL to SOA: Measuring the impact on web services interfaces complexity\u0026rdquo;. Communications in Computer and Information Science, vol. 756, pp. 266-279. 2017. DOI | URL A. Corbellini, C. Mateos, A. Zunino, D. Godoy, and S. Schiaffino. \u0026ldquo;Persisting big-data: The NoSQL landscape\u0026rdquo;. Information Systems, vol. 63, pp. 1-23. 2017. DOI | URL 2016 # A. Rodríguez, C. Mateos, and A. Zunino. \u0026ldquo;Improving scientific application execution on android mobile devices via code refactorings\u0026rdquo;. Software - Practice and Experience, vol. 47, no. 5, pp. 763-796. 2016. DOI | URL M. Longo, M. Arroqui, J. Rodriguez, C. Machado, C. Mateos, and A. Zunino. \u0026ldquo;Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan\u0026rdquo;. Information Processing in Agriculture, vol. 3, no. 4, pp. 235-243. 2016. DOI | URL D. Anabalon, A. De Renzis, M. Garriga, A. Flores, A. Cechich, and A. Zunino. \u0026ldquo;Testing-supported Case-Based Reasoning for Web Service Selection\u0026rdquo;. 2016 IEEE Biennial Congress of Argentina, ARGENCON. 2016. DOI | URL A. De Renzis, M. Garriga, A. Flores, A. Cechich, and A. Zunino. \u0026ldquo;Web Services Interfaces Assessment through Semantic Similarity of Terms\u0026rdquo;. Proceedings - International Conference of the Chilean Computer Science Society, SCCC, vol. 2016-September, pp. 21-24. 2016. DOI | URL J.M. Rodriguez, D. Godoy, and A. Zunino. \u0026ldquo;An empirical comparison of feature selection methods in problem transformation multi-label classification\u0026rdquo;. IEEE Latin America Transactions, vol. 14, no. 8, pp. 3784-3791. 2016. DOI | URL M. Hirsch, J.M. Rodriguez, A. Zunino, and C. Mateos. \u0026ldquo;Battery-aware centralized schedulers for CPU-bound jobs in mobile Grids\u0026rdquo;. Pervasive and Mobile Computing, vol. 29, pp. 73-94. 2016. DOI | URL A. De Renzis, M. Garriga, A. Flores, A. Cechich, and A. Zunino. \u0026ldquo;Case-based Reasoning for Web Service Discovery and Selection\u0026rdquo;. Electronic Notes in Theoretical Computer Science, vol. 321, pp. 89-112. 2016. DOI | URL A.V. Rodríguez, A. Zunino, C. Mateos, and L.M. Longo. \u0026ldquo;An analysis of the effects of bad smell-driven refactorings in mobile applications on battery usage\u0026rdquo;. Modern Software Engineering Methodologies for Mobile and Cloud Environments, pp. 155-175. 2016. DOI | URL C. Mateos, A. Rodriguez, M. Longo, and A. Zunino. \u0026ldquo;Energy implications of common operations in resource-intensive java-based scientific applications\u0026rdquo;. Advances in Intelligent Systems and Computing, vol. 444, pp. 739-748. 2016. DOI | URL M. Crasso, C. Mateos, A. Zunino, S. Misra, and P. Polvorín. \u0026ldquo;Assessing cognitive complexity in Java-based Object-Oriented systems: Metrics and tool support\u0026rdquo;. Computing and Informatics, vol. 35, no. 3, pp. 497-527. 2016. URL A. Corbellini, C. Mateos, D. Godoy, A. Zunino, and S. Schiaffino. \u0026ldquo;An evaluation of distributed processing models for randomwalk-based link prediction algorithms over social big data\u0026rdquo;. Advances in Intelligent Systems and Computing, vol. 444, pp. 919-928. 2016. DOI | URL M. Garriga, C. Mateos, A. Flores, A. Cechich, and A. Zunino. \u0026ldquo;RESTful service composition at a glance: A survey\u0026rdquo;. Journal of Network and Computer Applications, vol. 60, pp. 32-53. 2016. DOI | URL 2015 # J.M. Rodriguez, A. Zunino, C. Mateos, F.O. Segura, and E. Rodriguez. \u0026ldquo;Improving REST Service Discovery with Unsupervised Learning Techniques\u0026rdquo;. Proceedings - 2015 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS, pp. 97-104. 2015. DOI | URL C. Mateos, J.M. Rodriguez, and A. Zunino. \u0026ldquo;A tool to improve code-first Web services discoverability through text mining techniques\u0026rdquo;. Software - Practice and Experience, vol. 45, no. 7, pp. 925-948. 2015. DOI | URL D. Godoy, A. Zunino, and C. Mateos. \u0026ldquo;Publication practices in the Argentinian Computer Science community: a bibliometric perspective\u0026rdquo;. Scientometrics, vol. 102, no. 2, pp. 1795-1814. 2015. DOI | URL M. Garriga, A. Flores, A. Cechich, and A. Zunino. \u0026ldquo;Web services composition mechanisms: A review\u0026rdquo;. IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), vol. 32, no. 5, pp. 376-383. 2015. DOI | URL C. Mateos, M. Crasso, A. Zunino, and J.L. Ordiales Coscia. \u0026ldquo;A stitch in time saves nine: Early improving code-first web services discoverability\u0026rdquo;. International Journal of Cooperative Information Systems, vol. 24, no. 2. 2015. DOI | URL A. Corbellini, C. Mateos, D. Godoy, A. Zunino, and S. Schiaffino. \u0026ldquo;An architecture and platform for developing distributed recommendation algorithms on large-scale social networks\u0026rdquo;. Journal of Information Science, vol. 41, no. 5, pp. 686-704. 2015. DOI | URL C. Mateos, M. Crasso, J.M. Rodriguez, A. Zunino, and M. Campo. \u0026ldquo;Measuring the impact of the approach to migration in the quality of web service interfaces\u0026rdquo;. Enterprise Information Systems, vol. 9, no. 1, pp. 58-85. 2015. DOI | URL S. García, A. Zunino, and M. Campo. \u0026ldquo;Detecting botnet traffic from a single host\u0026rdquo;. Handbook of Research on Emerging Developments in Data Privacy, pp. 426-446. 2015. DOI | URL 2014 # J.L. Ordiales Coscia, C. Mateos, M. Crasso, and A. Zunino. \u0026ldquo;Refactoring code-first Web Services for early avoiding WSDL anti-patterns: Approach and comprehensive assessment\u0026rdquo;. Science of Computer Programming, vol. 89, no. PART C, pp. 374-407. 2014. DOI | URL M. Crasso, C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;EasySOC: Making web service outsourcing easier\u0026rdquo;. Information Sciences, vol. 259, pp. 452-473. 2014. DOI | URL J.M. Rodriguez, C. Mateos, and A. Zunino. \u0026ldquo;Energy-efficient job stealing for CPU-intensive processing in mobile devices\u0026rdquo;. Computing, vol. 96, no. 2, pp. 87-117. 2014. DOI | URL L.E. Sanchez, J.A. Diaz-Pace, A. Zunino, S. Moisan, and J.-P. Rigault. \u0026ldquo;An approach for managing quality attributes at runtime using feature models\u0026rdquo;. Proceedings - 2014 8th Brazilian Symposium on Software Components, Architectures and Reuse, SBCARS, pp. 11-20. 2014. DOI | URL S.A. Salinas, C. García Garino, and A. Zunino. \u0026ldquo;PFS: A productivity forecasting system for desktop computers to improve grid applications performance in enterprise desktop grid\u0026rdquo;. Computing and Informatics, vol. 33, no. 4, pp. 783-809. 2014. URL S. García, A. Zunino, and M. Campo. \u0026ldquo;Survey on network-based botnet detection methods\u0026rdquo;. Security and Communication Networks, vol. 7, no. 5, pp. 878-903. 2014. DOI | URL J.M. Rodriguez, A. Zunino, D. Godoy, and C. Mateos. \u0026ldquo;Multi-label classification using distributed computing [Clasificación multi-etiqueta utilizando computación distribuida]\u0026rdquo;. 2014 IEEE Biennial Congress of Argentina, ARGENCON, pp. 90-95. 2014. DOI | URL A. Tommasel, C. Mateos, D. Godoy, and A. Zunino. \u0026ldquo;Sparse-matrix arithmetic operations in computer clusters: A text feature selection application\u0026rdquo;. 2014 IEEE Biennial Congress of Argentina, ARGENCON, pp. 458-463. 2014. DOI | URL S. García, M. Grill, J. Stiborek, and A. Zunino. \u0026ldquo;An empirical comparison of botnet detection methods\u0026rdquo;. Computers and Security, vol. 45, pp. 100-123. 2014. DOI | URL C. Mateos, M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;A software support to initiate systems engineering students in service-oriented computing\u0026rdquo;. Computer Applications in Engineering Education, vol. 22, no. 2, pp. 252-265. 2014. DOI | URL A. De Renzis, M. Garriga, A. Flores, A. Cechich, and A. Zunino. \u0026ldquo;Semantic-structural assessment scheme for integrability in service-oriented applications\u0026rdquo;. Proceedings of the 2014 Latin American Computing Conference, CLEI. 2014. DOI | URL A. Corbellini, D. Godoy, C. Mateos, A. Zunino, and S. Schiaffino. \u0026ldquo;A programming interface and platform support for developing recommendation algorithms on large-scale social networks\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8658 LNCS, pp. 67-74. 2014. DOI | URL M. Hirsch, A. Rodriguez, J.M. Rodriguez, C. Mateos, A. Zunino, and J.L. Ordiales Coscia. \u0026ldquo;A tool for building retrievable code-first Web Services\u0026rdquo;. 2014 IEEE Biennial Congress of Argentina, ARGENCON, pp. 165-170. 2014. DOI | URL 2013 # C. Mateos, M. Crasso, A. Zunino, and J.L. Ordiales Coscia. \u0026ldquo;Revising WSDL documents: Why and how, part 2\u0026rdquo;. IEEE Internet Computing, vol. 17, no. 5, pp. 46-53. 2013. DOI | URL M. Crasso, C. Mateos, J.L.O. Coscia, A. Zunino, and S. Misra. \u0026ldquo;An evaluation on developer\u0026rsquo;s perception of XML schema complexity metrics for web services\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7972 LNCS, no. PART 2, pp. 475-486. 2013. DOI | URL G. Salvatierra, C. Mateos, M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;Legacy system migration approaches\u0026rdquo;. IEEE Latin America Transactions, vol. 11, no. 2, pp. 840-851. 2013. DOI | URL C. Mateos, A. Zunino, and M. Hirsch. \u0026ldquo;Easyfjp: Providing hybrid parallelism as a concern for divide and conquer java applications\u0026rdquo;. Computer Science and Information Systems, vol. 10, no. 3, pp. 1129-1163. 2013. DOI | URL J.M. Rodriguez, M. Crasso, C. Mateos, and A. Zunino. \u0026ldquo;Best practices for describing, consuming, and discovering web services: A comprehensive toolset\u0026rdquo;. Software - Practice and Experience, vol. 43, no. 6, pp. 613-639. 2013. DOI | URL J.M. Rodriguez, M. Crasso, C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;Bottom-up and top-down cobol system migration to web services\u0026rdquo;. IEEE Internet Computing, vol. 17, no. 2, pp. 44-51. 2013. DOI | URL J.M. Rodriguez, M. Crasso, and A. Zunino. \u0026ldquo;An approach for Web Service discoverability anti-pattern detection for journal of web engineering\u0026rdquo;. Journal of Web Engineering, vol. 12, no. 1-2, pp. 131-158. 2013. URL J.L. Ordiales Coscia, C. Mateos, M. Crasso, and A. Zunino. \u0026ldquo;Anti-pattern free code-first web services for state-of-the-art Java WSDL generation tools\u0026rdquo;. International Journal of Web and Grid Services, vol. 9, no. 2, pp. 107-126. 2013. DOI | URL M. Garriga, A. Flores, C. Mateos, A. Zunino, and A. Cechich. \u0026ldquo;Service selection based on a practical interface assessment scheme\u0026rdquo;. International Journal of Web and Grid Services, vol. 9, no. 4, pp. 369-393. 2013. DOI | URL 2012 # J.M. Rodriguez, C. Mateos, and A. Zunino. \u0026ldquo;Are smartphones really useful for scientific computing?\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7547 LNCS, pp. 38-47. 2012. DOI | URL S.A. Salinas, C.G. Garino, and A. Zunino. \u0026ldquo;An architecture for resource behavior prediction to improve scheduling systems performance on enterprise desktop grids\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7547 LNCS, pp. 186-196. 2012. DOI | URL M. Crasso, C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;A programming model for the semantic web\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7547 LNCS, pp. 208-218. 2012. DOI | URL J.A.D. Pace and A. Zunino. \u0026ldquo;Pattern-based modifiability analysis of EJB architectures\u0026rdquo;. Proceedings - 2012 6th Brazilian Symposium on Software Components, Architectures and Reuse, SBCARS, pp. 41-50. 2012. DOI | URL J.L.O. Coscia, M. Crasso, C. Mateos, and A. Zunino. \u0026ldquo;Estimating Web Service interface complexity and quality through conventional object-oriented metrics\u0026rdquo;. 15th Ibero-American Conference on Software Engineering, CIbSE. 2012. URL M. Garriga, A. Flores, A. Cechich, and A. Zunino. \u0026ldquo;Testing-based process for service-oriented applications\u0026rdquo;. Proceedings - International Conference of the Chilean Computer Science Society, SCCC, pp. 64-73. 2012. DOI | URL J.M. Rodriguez, M. Crasso, C. Mateos, A. Zunino, M. Campo, and G. Salvatierra. \u0026ldquo;The SOA frontier: Experiences with three migration approaches\u0026rdquo;. Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments, pp. 126-152. 2012. DOI | URL C. Mateos, A. Zunino, and M. Hirsch. \u0026ldquo;Parallelism as a concern in Java through fork-join synchronization patterns\u0026rdquo;. Proceedings - 12th International Conference on Computational Science and Its Applications, ICCSA, pp. 49-56. 2012. DOI | URL S. Mokarizadeh, P. Küngas, M. Matskin, M. Crasso, M. Campo, and A. Zunino. \u0026ldquo;Information diffusion in web services networks\u0026rdquo;. Proceedings - 2012 IEEE 19th International Conference on Web Services, ICWS, pp. 488-495. 2012. DOI | URL M. Arroqui, C. Mateos, C. Machado, and A. Zunino. \u0026ldquo;RESTful Web Services improve the efficiency of data transfer of a whole-farm simulator accessed by Android smartphones\u0026rdquo;. Computers and Electronics in Agriculture, vol. 87, pp. 14-18. 2012. DOI | URL G. Salvatierra, C. Mateos, M. Crasso, and A. Zunino. \u0026ldquo;Towards a computer assisted approach for migrating legacy systems to SOA\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7336 LNCS, no. PART 4, pp. 484-497. 2012. DOI | URL J.L.O. Coscia, M. Crasso, C. Mateos, A. Zunino, and S. Misra. \u0026ldquo;Predicting web service maintainability via object-oriented metrics: A statistics-based approach\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7336 LNCS, no. PART 4, pp. 29-39. 2012. DOI | URL S. Misra, M. Koyuncu, M. Crasso, C. Mateos, and A. Zunino. \u0026ldquo;A suite of cognitive complexity metrics\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7336 LNCS, no. PART 4, pp. 234-247. 2012. DOI | URL J.L. Ordiales Coscia, M. Crasso, C. Mateos, and A. Zunino. \u0026ldquo;An approach to improve code-first web services discoverability at development time\u0026rdquo;. Proceedings of the ACM Symposium on Applied Computing, pp. 638-643. 2012. DOI | URL C. Mateos, A. Zunino, M. Hirsch, and M. Fernández. \u0026ldquo;Enhancing the BYG gridification tool with state-of-the-art Grid scheduling mechanisms and explicit tuning support\u0026rdquo;. Advances in Engineering Software, vol. 43, no. 1, pp. 27-43. 2012. DOI | URL 2011 # C. Mateos, A. Zunino, R. Trachsel, and M. Campo. \u0026ldquo;A novel mechanism for gridification of compiled java applications\u0026rdquo;. Computing and Informatics, vol. 30, no. 6, pp. 1259-1285. 2011. URL M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;Combining query-by-example and query expansion for simplifying web service discovery\u0026rdquo;. Information Systems Frontiers, vol. 13, no. 3, pp. 407-428. 2011. DOI | URL M. Crasso, C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;SWAM: A logic-based mobile agent programming language for the Semantic Web\u0026rdquo;. Expert Systems with Applications, vol. 38, no. 3, pp. 1723-1737. 2011. DOI | URL M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;Research review: A survey of approaches to Web Service discovery in service-oriented architectures\u0026rdquo;. Journal of Database Management, vol. 22, no. 1, pp. 102-132. 2011. DOI | URL J.M. Rodriguez, A. Zunino, and M. Campo. \u0026ldquo;Introducing mobile devices into Grid systems: A survey\u0026rdquo;. International Journal of Web and Grid Services, vol. 7, no. 1, pp. 1-40. 2011. DOI | URL C. Mateos, M. Crasso, A. Zunino, and J.L.O. Coscia. \u0026ldquo;Detecting WSDL bad practices in code-first Web Services\u0026rdquo;. International Journal of Web and Grid Services, vol. 7, no. 4, pp. 357-387. 2011. DOI | URL C. Mateos, A. Zunino, M. Hirsch, M. Fernández, and M. Campo. \u0026ldquo;A software tool for semi-automatic gridification of resource-intensive Java bytecodes and its application to ray tracing and sequence alignment\u0026rdquo;. Advances in Engineering Software, vol. 42, no. 4, pp. 172-186. 2011. DOI | URL 2010 # A. Flores, A. Cechich, A. Zunino, and M.P. Usaola. \u0026ldquo;Testing-based selection method for integrability on service-oriented applications\u0026rdquo;. Proceedings - 5th International Conference on Software Engineering Advances, ICSEA, pp. 373-379. 2010. DOI | URL J.M. Rodriguez, M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;Improving Web service descriptions for effective service discovery\u0026rdquo;. Science of Computer Programming, vol. 75, no. 11, pp. 1001-1021. 2010. DOI | URL M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;Combining document classification and ontology alignment for semantically enriching web services\u0026rdquo;. New Generation Computing, vol. 28, no. 4, pp. 371-403. 2010. DOI | URL C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;An approach for non-intrusively adding malleable fork/join parallelism into ordinary JavaBean compliant applications\u0026rdquo;. Computer Languages, Systems and Structures, vol. 36, no. 3, pp. 288-315. 2010. DOI | URL M. Crasso, J.M. Rodriguez, A. Zunino, and M. Campo. \u0026ldquo;Revising WSDL documents: Why and how\u0026rdquo;. IEEE Internet Computing, vol. 14, no. 5, pp. 48-56. 2010. DOI | URL C. Mateos, M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;Separation of concerns in service-oriented applications based on pervasive design patterns\u0026rdquo;. Proceedings of the ACM Symposium on Applied Computing, pp. 849-853. 2010. DOI | URL C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;On the evaluation of gridification effort and runtime aspects of JGRIM applications\u0026rdquo;. Future Generation Computer Systems, vol. 26, no. 6, pp. 797-819. 2010. DOI | URL C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;m-JGRIM: A novel middleware for Gridifying Java applications into mobile Grid services\u0026rdquo;. Software - Practice and Experience, vol. 40, no. 4, pp. 331-362. 2010. DOI | URL M. Crasso, C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;Empirically assessing the impact of dependency injection on the development of web service applications\u0026rdquo;. Journal of Web Engineering, vol. 9, no. 1, pp. 66-94. 2010. URL M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;An approach to assist developers to annotate web services with ontologies\u0026rdquo;. Semantic Web: Standards, Tools and Ontologies, pp. 195-230. 2010. URL J.M. Rodriguez, M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;Automatically detecting opportunities for web service descriptions improvement\u0026rdquo;. IFIP Advances in Information and Communication Technology, vol. 341 AICT, pp. 139-150. 2010. DOI | URL J.M. Rodriguez, M. Crasso, C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;The EasySOC project: A rich catalog of best practices for developing web service applications\u0026rdquo;. Proceedings - International Conference of the Chilean Computer Science Society, SCCC, pp. 33-42. 2010. DOI | URL 2009 # M. Crasso, A. Zunino, L. Moreno, and M. Campo. \u0026ldquo;JEETuningExpert: A software assistant for improving Java Enterprise Edition application performance\u0026rdquo;. Expert Systems with Applications, vol. 36, no. 9, pp. 11718-11729. 2009. DOI | URL A. Zunino and M. Campo. \u0026ldquo;Chronos: A multi-agent system for distributed automatic meeting scheduling\u0026rdquo;. Expert Systems with Applications, vol. 36, no. 3 PART 2, pp. 7011-7018. 2009. DOI | URL C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;Grid-Enabling applications with JGRIM\u0026rdquo;. International Journal of Grid and High Performance Computing, vol. 1, no. 3, pp. 52-72. 2009. DOI | URL C. Mateos, A. Zunino, M. Campo, and R. Trachsel. \u0026ldquo;BYG: An approach to just-in-time gridification of conventional java applications\u0026rdquo;. Advances in Parallel Computing, vol. 17, pp. 232-260. 2009. DOI | URL 2008 # P. Gotthelf, A. Zunino, and M. Campo. \u0026ldquo;A peer-to-peer communication infrastructure for groupware applications\u0026rdquo;. International Journal of Cooperative Information Systems, vol. 17, no. 4, pp. 523-554. 2008. DOI | URL M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;Query by example for web services\u0026rdquo;. Proceedings of the ACM Symposium on Applied Computing, pp. 2376-2380. 2008. DOI | URL P. Gotthelf, A. Zunino, C. Mateos, and M. Campo. \u0026ldquo;GMAC: An overlay multicast network for mobile agent platforms\u0026rdquo;. Journal of Parallel and Distributed Computing, vol. 68, no. 8, pp. 1081-1096. 2008. DOI | URL C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;A survey on approaches to gridification\u0026rdquo;. Software - Practice and Experience, vol. 38, no. 5, pp. 523-556. 2008. DOI | URL M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;Easy web service discovery: A query-by-example approach\u0026rdquo;. Science of Computer Programming, vol. 71, no. 2, pp. 144-164. 2008. DOI | URL C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;JGRIM: An approach for easy gridification of applications\u0026rdquo;. Future Generation Computer Systems, vol. 24, no. 2, pp. 99-118. 2008. DOI | URL M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;AWSC: An approach to Web service classification based on machine learning techniques\u0026rdquo;. Inteligencia Artificial, vol. 12, no. 37, pp. 25-36. 2008. DOI | URL 2007 # C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;Mobile agents meet web services\u0026rdquo;. Modern Technologies in Web Services Research, pp. 98-121. 2007. DOI | URL C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;Extending movilog for supporting Web services\u0026rdquo;. Computer Languages, Systems and Structures, vol. 33, no. 1, pp. 11-31. 2007. DOI | URL P. Gotthelf, A. Zunino, and M. Campo. \u0026ldquo;A decentralized middleware for groupware applications\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4715 LNCS, pp. 191-206. 2007. DOI | URL 2006 # C. Mateos, M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;Adding semantic web services matching and discovery support to the moviLog platform\u0026rdquo;. IFIP International Federation for Information Processing, vol. 217, pp. 51-60. 2006. DOI | URL C. Mateos, M. Crasso, A. Zunino, and M. Campo. \u0026ldquo;Supporting ontology-based semantic matching of web services in movilog\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4140 LNAI, pp. 390-399. 2006. DOI | URL 2005 # A. Zunino, M. Campo, and C. Mateos. \u0026ldquo;Reactive mobility by failure: When fail means move\u0026rdquo;. Information Systems Frontiers, vol. 7, no. 2 SPEC. ISS., pp. 141-154. 2005. DOI | URL A. Amandi, M. Campo, and A. Zunino. \u0026ldquo;JavaLog: A framework-based integration of Java and Prolog for agent-oriented programming\u0026rdquo;. Computer Languages, Systems and Structures, vol. 31, no. 1, pp. 17-33. 2005. DOI | URL C. Mateos, A. Zunino, and M. Campo. \u0026ldquo;Integrating intelligent mobile agents with Web services\u0026rdquo;. International Journal of Web Services Research, vol. 2, no. 2, pp. 85-103. 2005. DOI | URL 2003 # Alejandro Zunino and Marcelo Campo and Cristian Mateos. \u0026ldquo;MoviLog: A Platform for Prolog-Based Strong Mobile Agents on the WWW\u0026rdquo;. Inteligencia Artificial, vol. 7, no. 21, pp. 83\u0026ndash;92. 2003. URL 2002 # A. Zunino, M. Campo, and C. Mateos. \u0026ldquo;Simplifying mobile agent development through reactive mobility by failure\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2507, pp. 163-174. 2002. DOI | URL 2001 # Alejandro Zunino and Luis Berdún and Analía Amandi. \u0026ldquo;JavaLog: Un Lenguaje para la Programacion de Agentes\u0026rdquo;. Inteligencia Artificial, vol. 5, no. 13, pp. 94\u0026ndash;99. 2001. URL 1999 # A. Amandi, A. Zunino, and R. Iturregui. \u0026ldquo;Multi-paradigm languages supporting multi-agent development\u0026rdquo;. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1647, pp. 128-139. 1999. DOI | URL ","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/publications/","section":"Alejandro Zunino","summary":"","title":"Publications"},{"content":"Proyecto financiado por la Agencia Nacional de Promoción Científica y Tecnológica. Director (Investigador responsable). Duración: 3 años. 21/08/2009 a 20/02/2013.\n","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/projects/pict2007/","section":"Projects","summary":"","title":"Servicios Web Semánticos Móviles"},{"content":"Current PhD Students # Martin Cornejo. Since 2018. Diego Anabalon. Since 2015. Alan de Renzis. Since 2014. Past PhD Students # Dr. Emiliano Sanchez. Optimización de modelos de características con aplicaciones para la adaptación de composiciones de servicios. 2019. Dr. Ignacio Lizarralde. Feature learning and information extraction techniques to improve RESTful Web Service discovery. 2019. Dr. Matías Hirsch. An energy-aware scheduling approach for resource-intensive jobs using smart mobile devices as resource providers. 2018. Dr. Ana Victoria Rodriguez. Reducing energy consumption in resource-intensive scientific mobile applications via code refactorings. 2018. Dr. Martín Garriga. Selección, Prueba y Adaptación de Servicios para Integración en Aplicaciones Orientadas a Servicios. 2016. Dr. Sergio Salinas. ProDG: Un middleware para Desktop Grids basado en la optimización de la productividad del sistema. 2015. Dr. Sebastian García. Detecting Botnets by Modeling their Network Behaviors. 2014. Dr. Mauricio Arroqui. Un método para la gridificación de aplicaciones de simulación agropecuaria. 2014. Dr. Juan Manuel Rodriguez. Web Service description bad practices encumbering service discovery. 2012. Dr. Marco Crasso. An Approach to Ease the Development of Service-Oriented Software. 2010. Dr. Pablo Gotthelf. A Peer-to-Peer Communication Support for Virtual Organizations. 2009. Dr. Cristian Mateos. An Approach to Ease the Gridification of Conventional Applications. 2008. Past Undergrad Students # Emiliano Migliorata y Juan Ricardo Dahl. Diseño e Implementación de una aplicación web orientada a carpooling aplicando prácticas y tecnologías innovadoras maximizando la eficiencia y calidad del producto. Octubre 2020. Hernan Zequeira. Modelos de procesamiento distribuido basados en Spark para algoritmos de recomendación sobre grandes datos sociales. Marzo 2019. Francisco Nicolás Leguizamón y José Martín Lopez. Análisis de técnicas para predecir patrones de uso de los dispositivos móviles. Noviembre 2018. Silvana Agüero y Martina Minvielle. Técnicas de aprendizaje para predecir atributos no funcionales en componentes de aplicaciones Android. Junio 2017. Pablo Daniel Vizcay. Restful Objects para Ruby, un framework para el desarrollo de Web Services RESTful. Febrero 2017. Alexander Perez Campos. Middleware para integrar dispositivos móviles a Grids computacionales. Febrero 2017. Facundo Martin. Alternativas para el desarrollo de aplicaciones móviles energéticamente eficientes con conexión a datos y servicios de ubicación. Septiembre 2016. Leopoldo Rudenick y Pablo Vena. Sistema de recolección de datos de uso en dispositivos Android para la detección de oportunidades de ahorro de batería. Septiembre 2016. Emmanuel Rodríguez y Félix Segura. Descubrimiento de servicios REST mediante técnicas de recuperación de información. Febrero 2016. Mathias Longo. Método basado en refactorización de code smells para el desarrollo de aplicaciones móviles eficientes en batería. Julio 2014. Ignacio Lizarralde. Un modelo de desarrollo de aplicaciones orientadas a servicios eficientes en batería para dispositivos móviles. Abril 2014. Sebastian Galdeano. Asistente para personalización en dispositivos móviles. Abril 2013. Gustavo Ajeitos y Santiago Solis. Un soporte para la Auto-adaptación de la Ejecución de Aplicaciones Móviles bajo la Plataforma Grid m-JGRIM. Marzo 2013. Ana Rodriguez. Refactorizaciones para kernels computacionales científicos en dispositivos móviles. Marzo 2013. Alejandro Durante. Una herramienta para generar descripciones de Servicios Web evitando malas prácticas. Marzo 2012. Luciana Levy y Carlos Damián Mirabella. PeS (Peek Scheduling): Un enfoque para la asignación de recursos en Grids de escritorio sobre GMAC. Noviembre 2011. Mariano Luis Fernández y Matías Hirsch. Un enfoque para automatizar la paralelización de aplicaciones secuenciales Java. Agosto 2010. Carlos Daniel Molero y Pablo Daniel Inchausti. Una herramienta para la detección de malas prácticas en descripciones de Servicios Web. Mayo 2010. Ramiro Trachsel. BYG: Enfoque para la Gridificación de Aplicaciones Java Legadas. Diciembre 2009. Mariano Fischer y Matías Martinez. EasySOC: Una herramienta para facilitar el desarrollo y mantenimiento de aplicaciones orientadas a servicios. Diciembre 2008. Ramiro Fernando Guasti y Carlos Máximo Ramos. Un Modelo para Estimación de Modificabilidad en Aplicaciones Enterprise JavaBeans. Diciembre 2008. Leonardo Moreno. Una herramienta para la detección de problemas de performance en sistemas J2EE. Agosto 2008. Leandro Iriarte. Framework para la generación de interfaces gráficas a partir de anotaciones en Java. Abril 2008. Alejandro Scott y José Fantasia. Carpo: Un sistema de administración de workflows basado en Agentes Móviles. 2006. Marco Crasso. Apolo: Un enfoque basado en Prolog para la publicación y el descubrimiento de Servicios Web Semánticos. 2006. Bruno Fontana, Fernando Colombo y Martín Lauhirat. MOVED: Un depurador para agentes Móviles. Septiembre 2005. Pablo Gotthelf y Marcos Mendoza. Un Soporte de Comunicación Multicast para la Plataforma de Agentes Móviles Movilog. Premiado por la SADIO en el Concurso de Trabajos Estudiantiles (EST) de las 34 JAIIO. Febrero 2005. Mario Cañete, Mauricio Gallo y Mariano Gómez. Flexibilizando políticas de movilidad en el modelo de Movilidad Reactiva por Fallas. Diciembre 2004. Paola Attadio. IMOS: Un sistema planificador de reuniones basado en agentes. Noviembre 2003. Diego Tolbaños y Luis Parravicini. LogicRaptors: Una Arquitectura de Software Integrada a la WWW para Soportar Agentes Móviles Basados en Prolog. Julio 2002. Cristian Mateos. Brainlets: Una Arquitectura de Software para el Soporte de Movilidad Reactiva en Sistemas de Agentes Móviles. Julio 2002. Santiago Lima y Juan Manuel Sanmarco. Aprendizaje del Comportamiento de Usuarios Utilizando Agentes Inteligentes. Julio 2002. Danila Cordero, Paula Roldán y Silvia Schiaffino. Agentes de Interface asistiendo a la navegación de información en Internet. Septiembre de 1999. ","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/students/","section":"Alejandro Zunino","summary":"","title":"Students"},{"content":"","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/tags/","section":"Tags","summary":"","title":"Tags"},{"content":" Operating Systems Parallel and Distributed Computing Web Programming ","date":null,"permalink":"https://users.exa.unicen.edu.ar/~azunino/teaching/","section":"Alejandro Zunino","summary":"","title":"Teaching"}]