Savvas Chatzichristofis is a Professor of Artificial Intelligence and Head of the Department of Computer Science at Neapolis University Paphos (NUP). He also serves as Vice-Rector of Research and Innovation, overseeing strategic R&D initiatives. His research focuses on AI, computer vision, robotics, and their applications in education, urban systems, and autonomous systems. Education: Holds a Diploma (M.Eng.) and Ph.D. in Computer Vision from Democritus University of Thrace. Previously served as a special scientist, visiting lecturer, and researcher at multiple institutions. Research Interests: AI-driven educational technologies Robotics in pedagogy and industry Autonomous systems (UAVs/AUVs) Blockchain for sustainability monitoring Machine learning optimization Notable Projects: NOPTILUS: Autonomous underwater/air vehicle navigation sfly: Swarm robotics for mapping EU-funded projects on smart cities and green bonds Publications span AI ethics, UAV efficiency, educational robotics, and blockchain frameworks, with over 50 peer-reviewed articles since 2011.
Christian Griffiths is an Associate Professor in Mechanical Engineering at Swansea University's School of Aerospace, Civil, Electrical and Mechanical Engineering. A Senior Fellow of the Higher Education Academy, Chartered Engineer, and Member of the Institution of Mechanical Engineers, he brings 16 years of industrial experience from the automotive sector to his academic role. His expertise spans machine tools, robotics, and laser cutting technologies, and he serves as Director of the AIRBUS BEng and FEngd Aeronautical and Manufacturing Engineering degree programs. His research focuses on Robotics and Automation, Micro and Nano Fabrication, 3D Printing, and Aerospace Drilling techniques. As Associate Editor for Microsystem Technologies (Springer), he has published 6 book chapters and 84 peer-reviewed papers with over 1,055 citations and an h-index of 19. His work demonstrates a clear progression from micro injection molding during his PhD (2006-2009) to current applications in robotics and advanced manufacturing. His recent publications (2021-2025) show a strong focus on robotic control systems, digital twin applications, sustainable manufacturing, and aerospace engineering solutions. The breadth of his work spans from fundamental robotics research to practical industrial applications across multiple sectors including aerospace, renewable energy, and railway infrastructure. Dr. Griffiths actively supervises numerous PhD and EngD students across diverse topics including robotic drilling systems, neural network control, environmental monitoring robots, and digital twin applications for industrial processes. His teaching portfolio includes undergraduate and postgraduate courses in machine elements, robotics, and automation, reflecting his commitment to both theoretical and practical education in engineering.
María del Carmen Benavides Cuéllar is a Professor at the Department of Electrical, Systems and Automation Engineering within the College of Industrial, Informatics and Aerospace Engineering at the University of Leon. Her research focuses on Systems Engineering and Automation, with particular emphasis on Cybersecurity, IoT Networks, Ontology-Based Knowledge Representation, and Intelligent Distributed Systems. Doctorate in Control Engineering (University of Leon, 2009) Currently leads research in Cybersecurity and IoT Her recent publications span topics from Cybersecurity in IoT 5G networks to Medical AI applications for Parkinson's disease severity analysis. She has contributed significantly to LiDAR-based navigation systems and Social Network Analysis in healthcare contexts. Key research areas include: Ontology-based knowledge representation for control engineering Distributed intelligent systems and middleware development Biomedical applications of deep learning Social media analysis using NLP techniques She has supervised multiple research projects at the intersection of Computer Science and Healthcare, with notable works in nursing management and adolescent alcohol consumption studies. Her lab SECOMUCI focuses on cybersecurity and knowledge management in cyber-physical systems.
Dr. Amirreza Kandiri is a Postdoctoral Research Fellow at the School of Civil Engineering, University College Dublin (UCD), where he conducts advanced research in transportation engineering, intelligent transportation systems (ITS), and infrastructure resilience. He earned his PhD at UCD, focusing on AI-driven traffic prediction and optimization under variable speed limits. He also holds an MSc in Construction Management and a BSc in Civil Engineering. Education: PhD, University College Dublin MSc, Islamic Azad University BSc, Buali Sina University His research centers on the application of machine learning and data analytics to solve critical challenges in civil and transportation engineering. He specializes in real-time traffic management, smart mobility, structural materials modeling, and remote sensing for infrastructure monitoring. His work integrates predictive modeling, optimization, and uncertainty analysis to enhance safety, efficiency, and sustainability in urban systems. The recent publications of Dr. Kandiri reflect a strong interdisciplinary trend combining civil engineering with artificial intelligence. His work spans intelligent traffic control using autonomous agents, deep learning for InSAR data analysis, and machine learning models for predicting concrete properties. These studies highlight a consistent focus on optimization, model accuracy, and real-world applicability across transportation and construction domains. Scientific Awards: 2024 Dean’s Award, UCD STEM Early Career Researchers’ Symposium Recognized for one of the most cited papers in Applied Sciences Dr. Kandiri has been actively involved in academic service, including peer reviewing for journals and serving on the UTSG 2025 organizing committee. He has contributed to teaching at both University College Dublin and Chang’an University in China. While no formal students are listed, his collaborative research involves multiple co-authors across disciplines. He has not received mention of grants, but his research output suggests involvement in funded projects related to smart infrastructure and sustainable materials. His work is closely tied to real-world applications, particularly on the M50 motorway in Dublin, and leverages platforms like Google Scholar, ResearchGate, and ORCID (0000-0001-8683-7984) for dissemination. He is part of a growing collaboration network in transportation and structural engineering research.
João Afonso Braun Neto is an Assistant Professor at the Polytechnic Institute of Bragança (IPB), affiliated with the School of Technology and Management (ESTiG) and the Department of Electrical and Computer Engineering . He holds a Ph.D. (2024) and dual Master's/Bachelor's degrees (2019) in related fields. His research focuses on autonomous robotics, computer vision, control theory, deep learning, and AI , with over 40 publications in indexed journals and conferences. Affiliations and Roles: - Investigator at Center for Research in Digitalization and Intelligent Robotics (CeDRI) - Co-chair of European RoboCup Junior 2022 - Session chair at OL2A 2023 and ROBOT 2023 conferences - Thesis supervisor and jury member for academic projects Recognition: - Best Doctoral Thesis in Robotics (2024, Portuguese Robotics Society) - PhD with Impact Award (2023/2024) - INPhINIT and FCT doctoral fellowships - Media coverage in major Portuguese newspapers Research Contributions: - Pioneering work on mecanum-wheeled control, LiDAR-based navigation, and AI-driven localization systems - Active in robotics competitions and educational outreach - Collaboration with industry on precision agriculture and smart systems Labs/Teams: - Leading robotics workshops for secondary school teachers - Core member of CeDRI's robotics research initiatives
Lieven Verdonck is a researcher in the Department of Archaeology at Ghent University, specializing in archaeological geophysics with a focus on ground-penetrating radar applications. He is affiliated with the ARCHAEO research group and the Ghent Centre for Late Antiquity (GCLA), conducting research primarily in Roman archaeology, Late Antiquity, and Protohistory across Belgium, Southern Europe, and Western Europe. Verdonck earned his licentiate in archaeology from Ghent University in 2002, with a dissertation on Roman rural occupation in the Regione Marche, Italy. He specialized in archaeological geophysics at the University of Bradford (UK), receiving his MPhil in 2008. He completed his PhD at Ghent University in 2012 on GPR prospection applied to archaeology, focusing on ultra-dense sampling strategies and multi-antenna GPR-array development. His research centers on archaeological interpretation of geophysical data, including machine learning and computer vision applications for large datasets. He has conducted geophysical prospections across Belgium (Aalter, Middelburg, Koekelare, Vinkem) and the Mediterranean (Italy, Corsica, Greece, Malta, Portugal). His current work focuses on automating geophysical data acquisition through autonomous measurement platforms towed by self-driving ATVs. His publications demonstrate evolution from basic GPR applications to sophisticated multi-antenna systems and advanced computational techniques for archaeological interpretation. Verdonck's work on the 'Beneath the surface of Roman Republican cities' project, in collaboration with the University of Cambridge, involved comprehensive GPR surveys of two complete Roman cities in Central Italy. The results have been deposited as an open-access archive with the Archaeology Data Service, reflecting his commitment to data sharing and transparency in archaeological research. He is actively involved in multiple research projects including the Falerii Novi project (2015-2027), Visualizing Roman cityscapes (2021-2024), and the Urban survey of abandoned Roman towns in Italy (2004-2024), demonstrating sustained scholarly contribution to advancing archaeological methodology through geophysical techniques.
Christopher Kitts is the William and Janice Terry Professor of Mechanical Engineering at Santa Clara University's School of Engineering, where he also serves as Associate Dean of Research and Faculty Development and Faculty Director of the Ciocca Center for Innovation and Entrepreneurship. His external appointments include Associate Researcher at the Monterey Bay Aquarium Research Institute (MBARI) and Visiting Researcher at Lawrence Livermore National Laboratory, reflecting his interdisciplinary work in field robotics. He earned his Ph.D. and M.S. in Mechanical and Aerospace Engineering from Stanford University, M.P.A. in International & Defense Policy from the University of Colorado, and B.S.E. in Mechanical & Aerospace Engineering from Princeton University. Prof. Kitts' research centers on field robotics for scientific discovery and education, with key focus areas: Multi-robot systems design and coordination Collaborative Human/Cobot Control architectures Model-Based Anomaly Management for spacecraft Advanced robotic platforms for underwater, terrestrial, aerial, and space environments His recent publications (2022-2025) demonstrate growing emphasis on human-robot interaction through transformer networks and emotion detection, alongside continued innovation in marine robotics and adaptive navigation for environmental monitoring. Scientific recognition includes: ASME Fellow and AIAA Associate Fellow Multiple Santa Clara University awards across teaching, research, and service NASA Group Achievement Awards (8 total) Industry honors including Edison Innovation Award and AIAA National Award His program has secured tens of millions in funding from government agencies and industry partners for student-operated NASA spacecraft missions and MBARI marine robotics projects, resulting in documented scientific discoveries like tsunami wave evidence in Lake Tahoe. He directs the Robotic Systems Laboratory and Santa Clara's Maker Lab, creating hands-on educational frameworks that integrate entrepreneurial thinking with engineering practice.
Dr. Meead Saberi Kalaee is an Associate Professor at the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), Sydney. His academic journey includes a PhD in Transportation Systems Analysis and Planning from Northwestern University (2013), MSc in Transportation Engineering from Portland State University (2010), and BSc in Civil Engineering from Ferdowsi University of Mashhad (2007). He leads the CityX research lab under rCITI, focusing on urban mobility through data analytics, simulation, and network modeling. Current Research : Traffic flow theory, mixed autonomy networks, pedestrian dynamics, active transport modeling, and AI-assisted infrastructure mapping (via footpath.ai spinout) Selected Grants : ARC Linkage Grant LE240100118 (National Cycling Data Platform), ARC Discovery DP220102382 (AI footpath modeling), DP210102089 (Sustainable bicycling exposure), LP190100650 (Logistics optimization) Recent Publications (2023–2025) span advanced topics like pedestrian traffic assignment , mixed autonomy emissions , reinforcement learning for vaccine allocation , and AI-driven transport equity , with methodological innovations in simulation-based optimization and network fundamental diagrams. Industry Collaborations include Adiona, Mitsubishi Heavy Industries, Cisco, KPMG, and government bodies like Transport for NSW and VicRoads. Supervision : Current PhD projects on traffic signal optimization, pedestrian activity estimation, and AI mapping. Former students' work addresses autonomous driving, dynamic demand modeling, and urban safety.
Andrew Buck is an Assistant Research Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri . His work focuses on machine learning , intelligent agents , autonomous drones , computer vision , and 3D visualization . Education: PhD, MS, BS in Computer Engineering, and BS in Electrical Engineering from the University of Missouri Andrew Buck's research involves the development of photorealistic synthetic datasets (e.g., HiFiAerial), explainable AI frameworks for drone autonomy, and human-agent teaming dynamics (e.g., trust modeling). He has pioneered multidisciplinary simulation platforms like Mizsim for AI training and evaluation, and contributed to real-time 3D reconstruction techniques combining classical algorithms with deep learning. His work on uncertainty quantification in depth estimation and fuzzy voxel maps demonstrates his interest in probabilistic approaches to perception. A key theme in his publications is the evaluation of AI performance in partially observable environments , including applications in explosive hazard detection and cooperative game scenarios.
Carina Soledad González González es una Profesora en la Universidad de La Laguna, España, con un doctorado en Informática (2001) enfocado en Sistemas Tutor Inteligentes para educación especial. Líder del Grupo de Investigación i-TED (Interacción, TIC y Educación) y actual Presidente de la Red Universitaria de Campus Virtuales, ha destacado en la aplicación de inteligencia artificial a la educación, adaptación de interfaces y gamificación educativa. Doctora en Informática (ULL, 2001) Líder del Grupo i-TED Presidente de Red Universitaria de Campus Virtuales Directora de Cátedra de Cultura Digital Interactiva Su investigación abarca: Integración de perspectiva de género en tecnología Desarrollo de MOOCs colaborativos y gamificados Plataformas de rehabilitación física y cognitiva (TANGO:H) Instrumentos de evaluación emocional para niños (EMODIANA) Sistemas recomendadores basados en conocimiento y reputación Tendencias de investigación en artículos recientes: Enfoques sistemáticos en políticas europeas de género en STEM Aplicación de gamificación en materiales educativos Adaptación de tecnologías para educación inclusiva Desarrollo de plataformas autónomas de aprendizaje Innovación en sistemas de recomendación para e-learning Actualmente trabaja en: Consolidación de redes internacionales de campus virtuales Desarrollo de ecosistemas tecnológicos interoperables Formación del profesorado en tecnologías emergentes Evaluación de calidad en educación virtual
Ole Balling is a Professor at the Department of Mechanical and Production Engineering, Aarhus University, Denmark, specializing in multibody dynamics and vibration analysis. His work bridges theoretical mechanics with practical applications in renewable energy and agricultural systems, leveraging advanced computational modeling for industrial-scale engineering challenges. His primary research interests include Multibody Dynamics for structural simulation, Operational Modal Analysis in rotating machinery, Wind Turbine Engineering (focusing on gearboxes and blades), and Soil-Vehicle Interaction for agricultural/military applications. He also develops Digital Twin frameworks for agricultural vehicles and investigates Vibration Control in robotic systems, with strong emphasis on experimental validation and energy-efficient design. Recent publications (2020-2023) reveal concentrated expertise in offshore wind turbine reliability (gear microgeometry, tower vibrations), soil mechanics modeling (aggregate fracture, drawbar pull testing), and autonomous vehicle mobility frameworks. A recurring theme is the application of operational modal analysis to diverse systems—from parallel manipulators to wind turbine hubs—demonstrating cross-domain adaptability of his core methodologies in dynamics and control. Scientific Awards: No awards documented in source materials. Grants and project leadership highlight sustained NATO collaboration, including the ongoing Next Generation NATO Reference Mobility Model (NG-NRMM) (extending to August 2025) and Mobility Assessment Methods for Autonomous Military Ground Systems . Past projects include INNOMILL (2015-2018) for large-component machining, BioXtek (2014-2017) for agricultural technology, and Low Bottom Soft Soil Modeling (2013-2017) for terrain damage reduction. He operates within the Mechatronics and Dynamics section of the department, utilizing laboratories for vibration testing, soil mechanics experiments, and multibody simulation. Current work focuses on autonomous military vehicle assessment and wind turbine gearbox optimization, with future projects targeting energy-efficient accelerator magnets and large-scale machining cell development.
John-Thones Amenyo is an Assistant Professor in the Department of Mathematics & Computer Science at York College, City University of New York (CUNY), where he has served full-time since September 2008. He also held adjunct positions at the same institution from 2000 to 2008. He holds a PhD in Electrical Engineering from Columbia University and a BS in Electrical Engineering & Computer Science from MIT. PhD, Electrical Engineering, Columbia University MPhil, Electrical Engineering, Columbia University MS, Electrical Engineering & Computer Science, Columbia University BS, Electrical Engineering & Computer Science, MIT His research focuses on parallel and distributed computing, cellular automata, cognitive robotics, UAV drone systems for public health (especially malaria vector control), neuro-architectures, and educational technologies using Computer Algebra Systems. He has pioneered projects like MedizDroids and KOM for mosquito control and developed models such as CR/SARAMA for conscious robotics. His work bridges computer science, engineering, public health, and education. The most recent publications highlight trends in digital twins for enterprise automation, UAV-based landscape engineering, and serious games for STEM education. His articles span topics from neuronal CDMA to end-user parallel programming, reflecting a deep integration of biological inspiration with computational systems. York College - CUNY, Bridging the Gap Seminar (2015) CETL Title III STEP Grant (2007–2008) NSF Graduate Research Assistantship at Columbia (1986–1991) MIT UROP Awards (1977–1979, 1978) Bell Labs LUPT Grant (1981–1982) Dr. Amenyo has mentored numerous undergraduate researchers through programs like LSAMP and the York College Summer Research Program, guiding projects in biosensors, AI for healthcare, and drone technologies. He has secured grants from PSC-CUNY and NSF I-Corps, and has contributed to curriculum development, including modernizing CS/ISM programs and coordinating Math 119 on Computer Algebra Systems. He actively serves on college committees, advises student clubs like the Video Game Development Association, and organizes grant workshops. He leads research in intelligent systems for public health, including the MedizDroids project for mosquito control and innovations in wildfire prevention. His lab supports student-driven projects in robotics, IoT, and health informatics, fostering innovation in both academic and societal contexts.
Fabrizio Nenci serves as a Tutor in the Department of Computer Science at the University of Freiburg's Faculty of Engineering, based at the Autonomous Intelligent Systems research group (Georges-Köhler-Allee 079, Freiburg). His institutional role centers on academic support within robotics-focused curricula. Research interests span Robotics, Autonomous Systems, and Robot Mapping, with specific emphasis on Human-Computer Interaction for robotic platforms. This includes developing user-specific tools enabling intuitive human-robot collaboration, reflecting the group's focus on practical autonomous system applications. Teaching duties prominently feature tutoring the Robot Mapping course under Professor Cyrill Stachniss' supervision, directly contributing to the department's educational mission in intelligent systems engineering. No additional advising roles or research team leadership are documented in the source material.
Pedro Figueiredo Santana is an Associate Professor at Iscte – University Institute of Lisbon and an Integrated Researcher at ISTAR-Iscte, the Research Center in Information Sciences, Technologies and Architecture. He is affiliated with the Department of Information Science and Technology (ISTA), where he contributes to teaching and research in software systems engineering. His academic background includes a PhD in Computer Science from the University of Lisbon (2011), a Master’s in Applied Artificial Intelligence from Universidade Nova de Lisboa (2005), and a Bachelor’s in Electrical and Computer Engineering from the same institution (2002). His research focuses on artificial intelligence, robotics, sensor networks, serious games, and human-computer interaction . His work often integrates AI and robotics for environmental monitoring and educational applications, particularly in urban air quality and children's awareness. He has led and participated in numerous national and European research projects (FCT, P2020, EU-FP7, ESA, etc.). The most recent publications (2021–2025) reflect a strong trend toward AI-driven environmental monitoring , mobile sensor networks , and interactive educational technologies , including augmented reality and gamification for public engagement. His work bridges computer science with societal challenges in health and sustainability. He serves on the editorial boards of the journals Electronics (since 2020) and International Journal of Advanced Robotic Systems (since 2013), contributing to scientific peer review and publication quality. Pedro Santana has supervised or co-authored research with numerous collaborators and has held administrative roles, including 3rd Year Coordinator for the Bachelor's in Computer Science and Business Management since 2021. While no specific students or grants are listed, his extensive publication record and project involvement suggest active mentorship and funding acquisition. He is part of a multidisciplinary research team at ISTAR-Iscte, collaborating on robotic systems, environmental data platforms, and serious games. His lab work often involves aerial-ground robotic teams, mobile sensing, and AI-based decision systems for real-world deployment.
Aina Roca is an academic and researcher affiliated with two major Catalan institutions: the Institute of Government and Public Policy (IGOP) at the Autonomous University of Barcelona (UAB) and the University of Girona (UdG). She holds dual roles as a Research Support Technician at IGOP and an Associate Lecturer in the Department of Political Science at UdG. Her work bridges public policy analysis, political communication, and social welfare systems with a focus on regional governance dynamics. She completed a Law and Political Science degree at the University of Girona and a Master’s in Social Policy from the Autonomous University of Barcelona. Her career includes research internships at GEPS (UAB) and consultancy roles for political organizations. Roca’s research interests center on public policies , political parties , political communication , and social innovation . She investigates how decentralized governance impacts welfare equity in Spain, particularly in early childhood education, health systems, and labor market policies. Her recent work highlights Barcelona’s innovative social policies and the role of non-professionalized care networks in addressing familial vulnerabilities. Key projects include the rEUsilience initiative (EU-funded resilience research), the Innovació social i digital project (2021), and evaluations of Barcelona’s anti-school segregation plans. Her publications span topics like regional welfare regimes, pandemic responses, and the interplay between political ideology and territorial financing. Roca collaborates with interdisciplinary teams at IGOP and UAB, contributing to policy analysis frameworks such as the Multiple Streams Approach. Her work emphasizes equity, participatory governance, and the transformative potential of social innovation in public services.
