جست‌وجوی استاد و پژوهشگر

Diogo Campos Sasdelliمشاهده پروفایل

پژوهشگر ارشد

• AI and Law
• Legal Logic
• Normative Diagrams
• +۶ مورد دیگر

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
• +۳ مورد دیگر

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. Oteroمشاهده پروفایل

استاد

• Hardware Interfacing
• Embedded Systems
• Zero-trust Systems
• +۷ مورد دیگر

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
• +۷ مورد دیگر

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 Zhangمشاهده پروفایل

دانشیار

• Systems and Networking
• Cybersecurity
• Cloud Computing
• +۴ مورد دیگر

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 Guermanمشاهده پروفایل

دانشیار

• Astrodynamics
• Space Systems Engineering
• Satellite Technology
• +۲ مورد دیگر

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
• +۳ مورد دیگر

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
• +۶ مورد دیگر

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 Ntarmosمشاهده پروفایل

مدرس ارشد

• Distributed Systems
• Big Data Management
• NoSQL Databases
• +۳ مورد دیگر

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 Talebمشاهده پروفایل

استاد

• Network Efficiency
• 5G/6G Communications
• Internet of Things (IoT)
• +۷ مورد دیگر

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 Battaمشاهده پروفایل

استاد

• Operations Research
• Disaster Logistics
• Urban Policing
• +۵ مورد دیگر

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. Cookeمشاهده پروفایل

استاد

• Human Systems Engineering
• Team Cognition
• Human-AI-Robot Teaming
• +۵ مورد دیگر

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 Bernabéمشاهده پروفایل

دانشیار

• Cybersecurity
• Privacy Management
• Trust Management
• +۷ مورد دیگر

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.

Morteza Karimzadehمشاهده پروفایل

استادیار

• geospatial data science
• machine learning
• visual analytics
• +۸ مورد دیگر

Morteza Karimzadeh is an Assistant Professor of Geography at the University of Colorado Boulder, with courtesy appointments in Computer Science and Information Science. He directs the Geospatial Human-Centered Artificial Intelligence Lab (GeoHAI) and serves as Faculty Fellow at the Institute of Behavioral Science and CU Population Center. His research interests span geospatial data science, machine learning, human-centered visual analytics, and remote sensing applications in public health and environmental science. Key domains include sea ice mapping, chronic disease epidemiology, renewable energy systems, and digital humanities. Publication trends reveal 15 recent works (2023-2025) focused on: Sea ice segmentation & cryospheric monitoring PM2.5 pollution and respiratory health Spatiotemporal disease forecasting Geovisualization tools for dengue and zika Human mobility analysis via wearable devices Energy grid data visualization He actively supervises graduate students including Sepideh Jalayer and Zhongying Wang, and has received research funding from National Science Foundation , NASA , NREL , NIH , and Population Council .

Soon-Jo Chungمشاهده پروفایل

استاد

• Aerospace Robotics
• Autonomous Systems
• Nonlinear Control Theory
• +۴ مورد دیگر

Soon-Jo Chung is the Bren Professor of Control and Dynamical Systems at the California Institute of Technology (Caltech) and serves as a Senior Research Scientist at NASA's Jet Propulsion Laboratory (JPL). He holds a B.S. from KAIST (1998), S.M. and Sc.D. from MIT (2002, 2007). Chung's research bridges theoretical control systems with practical aerospace robotics, focusing on autonomous spacecraft, distributed systems, and fault-tolerant control. His work emphasizes nonlinear dynamics, guidance, navigation, and control for aerial and space vehicles. Education: Bachelor of Science, Korea Advanced Institute of Science and Technology (KAIST), 1998 Master of Science, Massachusetts Institute of Technology (MIT), 2002 Doctor of Philosophy (Sc.D.), Massachusetts Institute of Technology (MIT), 2007 Research Interests: Chung’s lab at Caltech develops algorithms for autonomous systems, including resilient multi-agent spacecraft inspection, interstellar object rendezvous, and adaptive flight control under sensor failures. He pioneers work in neural networks for robotics, thermal imaging systems for aerial vehicles, and safety-critical control architectures. His research often involves experimental validation with real-world systems. Publications Overview: His recent work explores Bayesian active sensing for fault estimation, certified safe motion planning for multi-agent systems, and meta-learning approaches for disturbance-aware control. Themes include robustness, adaptability, and formal guarantees in autonomous systems. Awards: Chung was honored as a Bren Scholar (2016–2019) and has received recognition for Best Paper awards in his field. Lab & Collaborations: As head of Caltech’s Autonomous Robotics and Control Lab, he collaborates with JPL on space missions and NASA initiatives. His team designs systems for lunar exploration, interstellar navigation, and urban aerial robotics, emphasizing practical implementation of theoretical advancements.