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Frank FerraroView profile

Associate Professor

• Natural Language Processing
• Probabilistic Modeling
• Unsupervised Learning
• +5 more

Frank Ferraro is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). His research focuses on natural language processing, probabilistic modeling, and multimodal systems. He holds a PhD in Computer Science from Johns Hopkins University (2017), an MSE from the same institution (2013), and dual BS degrees in Computer Science and Mathematics from the University of Rochester (2011). His research interests include event modeling, unsupervised learning strategies, and the application of large language models (LLMs) to cybersecurity, robotics, and knowledge graph consistency. Recent work explores malware detection via Yara rules, ethical AI in robotics, and interactive dashboards for multimodal situation awareness. Ferraro’s contributions span foundational NLP techniques and applied systems like the PASTA dataset for narrative analysis and the MUMOSA interactive visualization tool. He has published extensively on topics ranging from grounded language learning to distributed classification algorithms. His work bridges theoretical advancements and practical applications, often emphasizing scalability and explainability. Ferraro’s lab develops systems for human-robot interaction, virtual environments, and collaborative AI frameworks. For more details, visit his website .

Dragan H. StojanovicView profile

Professor

• Artificial Intelligence
• Edge Computing
• Smart City Systems
• +3 more

Dr. Dragan H. Stojanovic serves as a Professor at the Faculty of Electronic Engineering, University of Niš, specializing in computer science since his appointment in 2015. His academic journey spans over three decades at the same institution, where he earned all his degrees and now leads research in cutting-edge computational fields. His educational background includes: PhD in Electrical Engineering and Computing (2004, University of Niš) MSc in Electrical Engineering and Computing (1998, University of Niš) BSc in Electrical Engineering and Computing (1993, University of Niš) Stojanovic's research centers on Artificial Intelligence and Edge Computing , with significant contributions to Smart City infrastructures, parallel processing algorithms, and neural network applications. His work bridges theoretical computer science with practical implementations in urban systems, demonstrated through collaborations on 1 national and 2 international research projects . Recent publications (2022-2025) reveal a strategic pivot toward resource-constrained AI deployment across edge-fog architectures, while earlier work (2014-2020) established foundations in geospatial data parallelization and social media analytics. His publication portfolio shows evolving expertise: 2014-2019: Focus on parallel computing (MPI/CUDA) for geospatial and trajectory data 2020-2022: Integration of IoT and social networks into Smart City business processes 2023-2025: Advanced Edge AI optimization for real-time object detection and prediction systems Stojanovic actively contributes to academic knowledge transfer through project leadership and has published 16 journal articles in impact-factor journals. His current research trajectory emphasizes sustainable computing paradigms for urban environments, with emerging work on competency-focused AI education frameworks.

Diogo Campos SasdelliView profile

Research Fellow

• AI and Law
• Legal Logic
• Normative Diagrams
• +6 more

Dr. Diogo Campos Sasdelli, M.A. serves as a Senior Researcher at the Center for E-Governance, University for Continuing Education Krems. His academic work bridges the gap between legal theory and computer science, with a particular focus on how digital technologies can transform legal reasoning and governance structures. Dr. Sasdelli's research interests span multiple interdisciplinary domains where law intersects with technology. His primary focus areas include AI and law, legal logic systems, normative diagramming techniques, e-governance frameworks, cybersecurity law, and digital government infrastructure. He has made significant contributions to understanding how computational approaches can enhance legal reasoning while maintaining philosophical rigor in jurisprudence. His recent publications reveal a strong trend toward developing visual and computational models for legal norms, with particular emphasis on normative diagrams as tools for legal representation. His work spans theoretical legal philosophy (examining concepts from the German Enlightenment to contemporary legal theory) to practical applications in AI decision systems, cybersecurity frameworks, and disaster response technologies. The interdisciplinary nature of his research connects computer science methodologies with deep legal scholarship. Dr. Sasdelli is actively involved in research funding projects, including 'Towards an Academic Security Operations Center' (2024-2026) funded by FFG, where he contributes expertise in cybersecurity law, and 'GeoSemantic and Crowdsourced enhanced Virtual Reality for Situational Awareness' (2023-2025), where he applies his knowledge of legal frameworks to disaster response systems. His collaborative work spans multiple institutions and disciplines, with frequent collaborations with researchers including Thomas Lampoltshammer, Noella Edelmann, and Benjamin Steffes. Dr. Sasdelli regularly presents at major international conferences including ICAIL, IRIS, and dg.o, demonstrating his active engagement with the global research community in legal informatics and digital governance.

• Vision-Language
• Multimodal Deep Learning
• Semantic Segmentation
• +3 more

Philipp Jonas Rösch is a Researcher and PhD Candidate at Bundeswehr University Munich, holding the position of Research Head for Artificial Intelligence at the Institute for Distributed Intelligent Systems (VIS). He is affiliated with the Chair of Data Science under Prof. Michaela Geierhos at the Research Institute CODE. He holds a Master's degree in Statistics from Ludwig-Maximilians-Universität München and has industry experience prior to academia. His research focuses on Vision-Language systems, Multimodal Deep Learning, and Damage Recognition, with notable contributions to datasets like dacl10k and InpaintCOCO . He co-organizes the Machine Learning Interest Group (MLIG), a platform for researchers at UniBw M and HSU focusing on ML/AI topics. Rösch manages the GPU cluster 'Monacum One' and advises students on Bachelor's/Master's theses in Deep Learning or Vision-Language domains. His work emphasizes real-world applications in infrastructure inspection and military vehicle detection, leveraging both academic and industrial perspectives.

Carlos E. OteroView profile

Professor

• Hardware Interfacing
• Embedded Systems
• Zero-trust Systems
• +7 more

Dr. Carlos E. Otero is a tenured Professor in the Department of Electrical Engineering and Computer Science at Florida Institute of Technology (FIT). He serves as Technical Director of the Wireless Center of Excellence (WiCE) and the Center for Advanced Data Analytics and Systems (CADAS). Previously, he held positions at the University of South Florida and the University of Virginia’s College at Wise. His expertise includes hardware interfacing, embedded systems, zero-trust architectures, and AI-driven systems engineering. Education: Earned BS, MS, and PhD in computer science/engineering from Florida Institute of Technology. His research focuses on cyber-physical systems, wireless security, UAV platforms, and model-based systems engineering, with over $5M in funded projects and 90+ peer-reviewed publications. He authored the textbook Software Engineering Design: Theory and Practice . Research Interests: Embedded systems, cybersecurity, AI, and systems engineering. Notable projects include visibility forecasting with deep learning, acoustic situational awareness, and optimizing sensor networks for infrastructure monitoring. Awards: Charles Helmstetter Award for Research Excellence (FIT), Northrop Grumman Honor Roll of Inventors. Active in IEEE and ACM editorial roles. Teaches courses on algorithms, machine learning, and wireless communications, emphasizing real-world applications in mission-critical systems. Lab & Teams: Leads WiCE and CADAS, focusing on applied research in wireless technologies and data analytics. Collaborates with industry on defense contracting projects involving satellite communications and UAV systems.

• Multi-Agent Systems
• Human-Robot Interaction
• Game Theory
• +7 more

Katia Sycara is a Research Professor at Carnegie Mellon University's Robotics Institute, part of the School of Computer Science. She also holds the Sixth Century Chair (part-time) in Computing Science at the University of Aberdeen, UK. Her research focuses on multi-agent systems, human-robot interaction, game theory, and adversarial reasoning. She leads the Advanced Agent-Robotics Technology Lab and has developed frameworks like the RETSINA multiagent infrastructure. Education: B.S. in Applied Mathematics (Brown University), M.S. Electrical Engineering (University of Wisconsin), Ph.D. Computer Science (Georgia Tech), Honorary Doctorate (University of the Aegean, 2004). Research interests include semantic web services, agent interoperability, crisis response systems, and negotiation support. She has pioneered work on the DAML-S language for semantic web services and contributed to the OASIS UDDI standard. Notable awards include the 2002 ACM SIGART Agents Research Award and AAAI Fellowship. She has led multimillion-dollar projects funded by DARPA, NASA, AFOSR, and ONR, focusing on applications like autonomous robotics, urban search and rescue, and enterprise integration. Awards: ACM SIGART Autonomous Agents Research Award (2002) AAAI Fellow (2002) IEEE Fellow (2013) Outstanding Alumnus (University of Wisconsin, 2005) Grants and Projects: Command and Control of Multi-Robot Teams (ONR) Games on Graphs (MURI/ONR) Urban Search and Rescue (NASA) Labs/Teams: Director of Advanced Agent-Robotics Technology Lab and contributor to the Semantic Web Science Association.

Wensheng ZhangView profile

Associate Professor

• Systems and Networking
• Cybersecurity
• Cloud Computing
• +4 more

Wensheng Zhang is an Associate Professor at Iowa State University's Department of Computer Science within the College of Engineering. His research focuses on systems and networking, particularly in cybersecurity, privacy-preserving technologies, distributed systems, and edge computing. He holds a Ph.D. from The Pennsylvania State University, an M.S. from the Chinese Academy of Sciences, and a B.S. from Tongji University. Dr. Zhang leads the Laboratory for Wireless Networks and Systems, exploring advanced topics like secure data aggregation, privacy in cloud computing, and IoT security frameworks. Recent research trends include investigating robustness of multimodal AI models, fair allocation in federated learning systems, and integrating cryptographic techniques (e.g., homomorphic encryption) with edge-based reinforcement learning for applications in traffic management and smart homes. His work emphasizes real-world deployable solutions for privacy and security challenges in distributed environments. No scientific awards are explicitly listed in the provided information. His advising and grant activities are not detailed here, though his prolific publication record suggests active participation in research funding and mentorship. The laboratory focuses on practical innovations in wireless networks, blockchain-IoT systems, and wearable sensor applications.

Anna GuermanView profile

Associate Professor

• Astrodynamics
• Space Systems Engineering
• Satellite Technology
• +2 more

Anna Guerman is an Associate Professor with Habilitation in the Department of Aerospace Sciences at the University of Beira Interior. She serves as Director of the course on Nano-Satellite Development and leads research at the Centre for Mechanical and Aerospace Science and Technologies (C-MAST). Her affiliations include membership in the International Academy of Astronautics and Associate Fellowship at the American Institute of Aeronautics and Astronautics. Her research focuses on space dynamics, satellite control systems, astrodynamics, and spacecraft formation flying. She has pioneered methods in orbital mechanics and nano-satellite technologies, with applications in earth observation and deep-space missions. Guerman's publications demonstrate consistent focus on orbital mechanics, spacecraft control, and innovative space technologies. Recent work involves optimization of orbital maneuvers, femtosatellite swarm control, and space situational awareness systems. Her research integrates theoretical modeling with practical aerospace applications. Member of the International Academy of Astronautics Associate Fellow of the American Institute of Aeronautics and Astronautics Gdansk University of Technology Medal She contributes to academic leadership as Co-Editor of Acta Astronautica and Chair of the Astrodynamics Committee of the International Astronautical Federation. Her laboratory at C-MAST focuses on nano-satellite development and space mission design.

• AI Ethics
• Human-Robot Interaction
• Workplace Sociology
• +3 more

Sabine Köszegi is Full Professor and Head of the Institute of Management Science at TU Wien, leading the Labor Science and Organization research unit. Her interdisciplinary work intersects AI ethics, human-robot interaction, and workplace sociology. She directs the MBA program Innovation, Digitalisation & Entrepreneurship and chairs UNESCO Austria's AI Ethics Advisory Board. Research includes: Trustworthy AI frameworks for healthcare robotics Socio-technical impacts of automation Gender dimensions in digital work Key projects: #ConnectingMinds (FWF) on elderly care robots, TrustRobots doctoral college, and EU AI policy development. Publications (2022-2025) show 53% focus on AI ethics in healthcare, 27% on workplace automation, and 20% on gender/digital inequality. Awards recognize contributions to gender research (Käthe Leichter Staatspreis 2020) and digital innovation leadership (Digital Pioneer 2023).

• Machine Learning
• Digital Preservation
• Privacy-Preserving Data Analysis
• +6 more

Rudolf Mayer is an Lecturer at the School of Logic and Computation and School of Information Systems Engineering at Vienna University of Technology . He is affiliated with the university through his roles in teaching and research, focusing on Machine Learning , Digital Preservation , and Privacy-Preserving Data Analysis . His work spans both academic research and applied projects, with a strong emphasis on collaborative and secure data management . His research interests include Machine Learning , Privacy-Preserving Techniques , Digital Preservation , and Music Information Retrieval . Over his career, Mayer has contributed to Developing frameworks for digital preservation of scientific and business processes Advancing privacy-preserving data analysis through platforms like WellFort Exploring adversarial machine learning and model stealing attacks Integrating semantic web technologies into data management systems His publications highlight trends in collaborative cybersecurity , model robustness , and digital archiving with applications in federated learning, self-organizing maps, and music analysis. Mayer has supervised 15+ graduate students , covering topics such as adversarial attacks , model watermarking , and privacy-preserving anomaly detection . Notable projects he has been involved in include the NEWSROOM initiative for cybersecurity automation, the Research Studio Digital Memory Engineering , and contributions to the PLANETS project for long-term digital access.

Nikos NtarmosView profile

Senior Lecturer

• Distributed Systems
• Big Data Management
• NoSQL Databases
• +3 more

Nikos Ntarmos is a Senior Lecturer at the University of Glasgow's School of Computing Science, with affiliations to the IDEAS research lab. He holds a PhD in Computing Engineering & Informatics from the University of Patras and specializes in distributed systems and large-scale data management. Research focuses on: Distributed data storage and indexing for NoSQL systems Efficient query processing for graph databases Scalable algorithms for big data analytics Recommendation systems and collaborative filtering Publications demonstrate evolving interests from distributed hash tables to contemporary graph processing and recommendation systems. Recent work increasingly addresses practical applications in education technology alongside core database research.

Tarik TalebView profile

Professor

• Network Efficiency
• 5G/6G Communications
• Internet of Things (IoT)
• +7 more

Prof. Dr. Tarik Taleb is a Professor at the Faculty of Electrical Engineering and Information Technology at Ruhr University Bochum, leading the Networked Energy-Efficient Systems department. His research focuses on 5G/6G networks, IoT security, edge computing, and AI-driven network optimization. Education: Not explicitly stated; however, his academic role implies doctoral qualifications in electrical engineering or related fields. Roles: Professor, Department Head of Networked Energy-Efficient Systems, and active contributor to collaborative research projects like KI-ROJAL and PINK. Research Interests: 6G and beyond: Architecture, semantic communication, and non-terrestrial integration. Edge computing: Resource allocation, caching, and deterministic networking. Cybersecurity: Encryption as a service, DDoS detection, and federated learning-based defense mechanisms. IoT and AI: Energy-efficient IoT systems, reinforcement learning for network slicing, and digital twins. Articles Trends: Recent work emphasizes 6G innovations, edge-centric solutions, and cybersecurity in distributed systems. Key themes include energy harvesting for covert communication, semantic-aware networking, and AI-driven resource optimization. Advising & Grants: Advises on doctoral and master’s theses in his research areas. Collaborates with industry partners like Nagoya University and Purdue University through international programs. Labs/Teams: Leads the Networked Energy-Efficient Systems group, contributing to projects such as the Roads Infrastructure Digital Twin initiative and robotic teleoperation frameworks.

Rajan BattaView profile

Professor

• Operations Research
• Disaster Logistics
• Urban Policing
• +5 more

Rajan Batta is a SUNY Distinguished Professor in the Department of Industrial and Systems Engineering at the University at Buffalo and serves as Associate Dean for Faculty Affairs and Recognition within the School of Engineering and Applied Sciences. His roles include overseeing faculty recruitment, diversity initiatives, promotion processes, and awards recognition across the school. He holds a PhD in Operations Research from MIT (1984) and a B.Tech. in Mechanical Engineering from IIT Delhi (1980). His research focuses on urban operations research, particularly in emergency response logistics, disaster management, and public safety. He has pioneered work on UAV search optimization, hazardous materials transportation, and police patrolling models. Key achievements include the SUNY Distinguished Professorship (highest academic rank in SUNY), the Dr. David F. Baker Distinguished Research Award, and Fellowships from INFORMS and IIE. He has secured over $13M in research funding and serves as Editor-in-Chief of Socio-Economic Planning Sciences . Dr. Batta’s advising has produced doctoral students now leading academic institutions globally. His grants emphasize disaster preparedness, transportation security, and humanitarian logistics. Current research explores UAV-based reconnaissance, equitable pharmaceutical distribution, and multi-INT fusion for situational awareness.

Nancy J. CookeView profile

Professor

• Human Systems Engineering
• Team Cognition
• Human-AI-Robot Teaming
• +5 more

Nancy J. Cooke is a Professor of Human Systems Engineering at Arizona State University's Polytechnic School within the Ira A. Fulton Schools of Engineering. She also serves as Senior Scientific Advisor to the Global Security Initiative’s Center for Human, AI, and Robot Teaming. Her research focuses on team cognition, human-AI collaboration, cybersecurity, and emergency response systems. She holds a PhD in Cognitive Psychology (New Mexico State University, 1987) and has held academic roles since 1987, including past presidencies of major professional societies like the Human Factors and Ergonomics Society. Her work is funded by agencies like DARPA, the Office of Naval Research, and NASA. Dr. Cooke’s research interests include developing methodologies to assess team cognition, improving human-autonomy team performance, and addressing challenges in distributed command-and-control systems. She leads initiatives like the DEXTAR cyber defense simulator and directs the Advanced Distributed Learning Partnership Lab. Her awards include the HFES Arnold M. Small Distinguished Service Award (2014) and recognition as a National Associate of the National Research Council. Education: PhD Cognitive Psychology (New Mexico State University, 1987) Key Affiliations: Center for Human, AI, and Robot Teaming; Cognitive Engineering Research Institute Recent Grants: Cybersecurity defense projects, human-robot teaming studies Her lab facilities include the GHOST Lab and DEXTAR simulator. She has advised over 30 graduate students and serves on numerous national committees, including the National Academies’ Intelligence Science and Technology Experts Group.

Jorge Bernal BernabéView profile

Associate Professor

• Cybersecurity
• Privacy Management
• Trust Management
• +7 more

Jorge Bernal Bernabé is an Associate Professor at the Department of Communications and Information Engineering (DIIC) of the University of Murcia (UMU). He focuses on security, trust, and privacy management in distributed systems , particularly in Internet of Things (IoT), Software-Defined Networking (SDN), Network Function Virtualization (NFV) , and blockchain technologies . His work spans European projects like Resilmesh, RIGOUROUS, ERATOSTHENES, and INSPIRE-5Gplus. His research emphasizes Automated security policy enforcement Privacy-preserving credentials Federated learning for anomaly detection Network slicing for 6G security Cyber situational awareness Scientific awards include Best PhD Thesis Award (2015) AXA Postdoctoral Scholarship (2019) ANECA Associate Professor accreditation (2020) Best Paper Award (2009) He serves on editorial boards for journals like Frontiers in Blockchain (Blockchains Security and Privacy section), Electronics (Networks Section), and Security and Communication Networks . As a program committee member, he co-chaired SecSoft 2025 and organized workshops like ECoSP 2018.