جست‌وجوی استاد و پژوهشگر

David Feil-Seiferمشاهده پروفایل

استاد

• Socially Assistive Robotics
• Human-Robot Interaction
• Machine Learning
• +۲ مورد دیگر

David Feil-Seifer is a Professor of Computer Science & Engineering at the University of Nevada, Reno. He serves as the Founding Director of the Autonomous Robotics Center of Nevada (ARCoN) and Graduate Director for the Robotics M.S. program. He holds a B.S. from the University of Rochester, and M.S./Ph.D. from the University of Southern California, with postdoctoral training at Yale University. His research focuses on Socially Assistive Robotics (SAR), socially-aware navigation, and long-term human-robot interaction. Key projects include AI solutions for speech-language pathology shortages, socially-aware navigation in public spaces, and robotics for post-stroke rehabilitation and autism support. His publications primarily explore human-robot interaction frameworks, educational robotics, and machine learning applications in healthcare and environmental monitoring. Recent work shows strong emphasis on accessible robotics education and healthcare applications. USC VSoE Best Dissertation Award NSF/CRA Computing Innovation Fellowship Mellon Award for Mentoring Order of Arete He has mentored over 100 undergraduate students and leads the Socially Assistive Robotics Group (SARG). Current grants include NSF-funded projects on robot motion legibility and AI for exceptional education. Dr. Feil-Seifer directs robotics laboratories focused on human-centered AI and multi-robot systems for disaster response and healthcare applications.

• Policing
• Situational Crime Prevention
• Spatial Analysis
• +۶ مورد دیگر

Emmanuel Barthe is an Associate Professor in the Department of Criminal Justice at the University of Nevada, Reno (UNR), within the College of Liberal Arts. His research focuses on policing strategies, situational crime prevention, spatial analysis, and the impact of casinos on criminogenic patterns. He collaborates closely with local law enforcement agencies, serving as an external evaluator for projects such as methamphetamine interdiction efforts and BJA-funded Smart Policing initiatives targeting prescription drug abuse. He teaches courses including Introduction to Criminal Justice, Policing, Crime Mapping, and Criminal Justice Ethics. Barthe holds a Ph.D. and M.A. in Criminal Justice from Rutgers University, and a B.A. in Sociology from McGill University. His work bridges academic research and practical application, emphasizing evidence-based policing and community-oriented strategies. Notable projects include analyzing the legal ramifications of traffic checkpoints and evaluating the effects of low-income housing on neighborhood disorder patterns. His research spans topics such as the spatial distribution of crime in casino zones, the influence of media on criminal justice student perceptions, and the effectiveness of police presence in non-criminogenic areas. He has contributed to national dialogues on community policing, COMPSTAT systems, and campus safety through peer-reviewed publications and encyclopedia entries.

Biao Chenمشاهده پروفایل

استاد

• Information Theory
• Signal Processing
• Statistical Learning Theory
• +۲ مورد دیگر

Dr. Biao Chen serves as the John E. and Patricia A. Breyer Professor in Electrical Engineering at Syracuse University within the College of Engineering and Computer Science. His research primarily focuses on foundational theories and applications in wireless communications and sensor networks, with recent work exploring passive RF sensing systems for indoor situational awareness. He holds a Ph.D. in Electrical Engineering from the University of Connecticut. Research interests span information theory, signal processing, and statistical learning foundations, with applications including software radio system design and RF sensing. His work integrates deep learning approaches for presence detection and develops novel methods for spectrum sharing challenges. Recent publications demonstrate trends in RF sensing through deep learning, kernel-based statistical testing, and information-theoretic frameworks. This body of work advances theoretical foundations while addressing practical challenges in wireless communication systems. Honors include IEEE Fellowship (2015) and NSF CAREER Award (2006), recognizing contributions to information theory and distributed detection frameworks. The Communication Laboratory investigates decentralized inference, interference channels, and airborne MIMO communication platforms. Current projects include energy-efficient spectrum access supported by NSF funding.

Qiang Yangمشاهده پروفایل

پژوهشگر ارشد

• Mobile Computing
• Ubiquitous Computing
• Mobile Health
• +۴ مورد دیگر

Qiang Yang is a Postdoctoral Research Associate at the Department of Computer Science and Technology , University of Cambridge, working under Prof. Cecilia Mascolo. His research focuses on mobile health , ubiquitous computing , and leveraging acoustic signals for health monitoring, IoT systems, and human-computer interaction. Key projects include gait monitoring via earables, toothbrushing tracking with in-ear sensors, and voice liveness detection for smart devices. His work bridges machine learning with sensor technologies , addressing challenges in energy retrofitting, emergency response systems, and secure IoT communications. Collaborations emphasize practical applications in healthcare, wearable tech, and environmental sustainability. Notable projects include SmarTeeth , WalkEar , and AutoIOT , showcasing innovations in acoustic-based health monitoring and AI-driven IoT programming. Publications span topics like federated learning optimization, underwater SOS detection, and mmWave radar communication via smartphone vibrations. His research has implications for improving lifestyle management, disaster response, and secure smart environments.

Christian Gerthمشاهده پروفایل

استاد

• Business Informatics
• Software Engineering
• Model-Based Software Development
• +۳ مورد دیگر

Prof. Dr. Christian Gerth is a Professor of Business Informatics and Software Engineering at Osnabrück University of Applied Sciences, affiliated with the Faculty of Economics and Social Sciences. His expertise spans model-based software development, business process management, and adaptive systems. He holds a PhD in Natural Sciences from the University of Paderborn and a Diplom-Informatiker degree. Educational background: Dr. rer. nat. (2012, University of Paderborn), Diplom-Informatiker & B.Sc. (2007, University of Paderborn), Bankkaufmann apprenticeship (2002, Commerzbank AG). Research interests focus on software engineering methodologies, business process modeling, model-driven engineering, and cross-device systems. He has contributed to frameworks like CrossEcore and XDAI-A, addressing challenges in process model versioning, blockchain applications in energy markets, and adaptive service composition. Teaching includes courses on databases, object-oriented programming, project management, and software engineering for business students. He actively participates in academic committees for conferences like BPM and CVSM, and reviews for journals such as Software and Systems Modeling and IEEE Transactions on Software Engineering. Key contributions include patents on process model merging and conflict resolution, and research on service-oriented architectures and On-The-Fly computing. His work bridges academic research with practical software solutions for industry challenges.

Wendy Norrisمشاهده پروفایل

استادیار

• social computing
• crisis informatics
• human-centered data science

Wendy Norris is Assistant Professor of Social Computing in the Mathematics and Data Science Department at Nazareth University, where she co-leads the Ethical Data Science program and serves as core faculty in the Institute for Responsible Technology. Her research examines how computational systems can address societal challenges during crises. Research integrates social computing principles with crisis informatics to develop human-centered approaches for disaster response. Focus areas include distributed humanitarian coordination, temporal sensemaking in emergency contexts, and combating misinformation through data verification techniques. Fieldwork in Vanuatu informs her work on natural hazard response systems. Teaching emphasizes project-based learning in programming, AI ethics, and equitable data analysis, enabling students to develop portfolio-worthy applications from chatbots to environmental monitoring systems.

Amr Alanwar Abdelhafezمشاهده پروفایل

استاد مدعو

• Cyber-Physical Systems (CPS)
• Privacy-Preserving Techniques
• Reachability Analysis
• +۵ مورد دیگر

Amr Alanwar Abdelhafez is an Adjunct Professor of Computer Science at Constructor University Bremen’s School of Computer Science & Engineering. Previously, he held Assistant Professor roles at Technical University of Munich (Heilbronn Campus) and Jacobs University Bremen. His research focuses on Cyber-Physical Systems (CPS), emphasizing safety, privacy, and formal verification. He earned his Ph.D. from TU Munich’s Cyber-Physical Systems Group (2020), with prior roles including postdoc at KTH Royal Institute of Technology and research positions at UCLA and University of Waterloo. Education: Ph.D. in Cyber-Physical Systems, Technical University of Munich (2015–2020) M.Sc. in Engineering Science (Protection and Detection Hardware Trojan), Ain Shams University (2010–2013) B.Sc. in Computer and Control Systems Engineering, Ain Shams University (2005–2010) Research Interests: His work bridges theoretical foundations and practical applications in CPS, including privacy-preserving state estimation, resilient control systems, reachability analysis, and formal verification for autonomous systems. He develops methods to ensure safety and privacy in distributed systems, leveraging tools like zonotopes and homomorphic encryption. Key Contributions: Developed logical zonotopes for efficient representation of discrete systems. Advanced event-triggered control and diffusion strategies for distributed systems. Pioneered privacy-preserving techniques (e.g., CryptoImg, PrOLoc) using homomorphic encryption. Contributed to safety-critical applications like autonomous vehicle situational awareness and secure sensor networks. Awards & Recognition: Best Demonstration Paper Award at IPSN/CPSWeek 2017 Qualcomm Innovation Fellowship finalist (2017 and 2018) First place in TUM Graduate School Competition (2019) Grants & Industry Links: His work is supported by collaborations with institutions like IBM and JetBrains, and his open-source tools (e.g., Event-Triggered Diffusion Kalman Filters, Logical-Zonotope repository) are widely used in CPS research. Labs & Teams: Leads research on CPS safety and privacy at TU Munich, with active contributions to Constructor University’s CPS initiatives and GitHub repositories showcasing implementations of his methodologies.

Stephan Olariuمشاهده پروفایل

استاد

• Vehicular Ad Hoc Networks (VANETs)
• Cybersecurity
• Telemedicine
• +۴ مورد دیگر

Stephan Olariu is a Professor of Computer Science at Old Dominion University (ODU), affiliated with the College of Sciences. He holds a Ph.D., M.Sc., and B.S. in Computer Science from McGill University (1982–1986). His research focuses on vehicular ad hoc networks (VANETs), cybersecurity, telemedicine, and vehicular cloud computing. He has led projects like TRENDS, a cyber-physical system for traffic event detection, funded by ODU (2011). Dr. Olariu's work emphasizes vehicular networks' security and efficiency, including solutions for VANETs, UAV-based medical supply delivery, and blockchain-driven decentralized marketplaces. He explores smart city technologies, such as traffic optimization and environmental impact reduction. His recent publications address topics like drone coordination for surveillance, trust frameworks in blockchain systems, and UAV applications in counterterrorism. Grants: TRENDS (2011) and others focused on vehicular systems and telemedicine. Key Themes: Vehicular cloud computing, cybersecurity, UAV systems, and smart infrastructure. His contributions span academic leadership in computer science, with a focus on translating theoretical research into real-world applications like emergency response systems and resilient decentralized platforms.

Konstantinos Mersinasمشاهده پروفایل

مدرس ارشد

• Behavioural Security
• Cybercrime
• Risk Perception
• +۵ مورد دیگر

Konstantinos Mersinas is a Senior Lecturer in Information Security at Royal Holloway, University of London, serving as Director of the Distance Learning MSc programme and co-founding the HIVE research group. He holds a Visiting Professorship at Keio University, Tokyo, and directs the International Cyber Security Centre of Excellence spanning six global universities. His academic credentials include a PhD (2017) and MSc (2003) in Information Security from Royal Holloway, and an MSci in Mathematics (2001) from Aristotle University of Thessaloniki. He maintains CISSP certification as a security professional. PhD in Information Security, Royal Holloway (2017) MSc in Information Security, Royal Holloway (2003) MSci in Mathematics, Aristotle University of Thessaloniki (2001) Mersinas pioneers research at the intersection of behavioural economics, psychology, and cybersecurity. His work investigates risk perception, decision-making processes, and human vulnerabilities in cybercrime contexts, with specialized focus on protecting adolescents from cyberbullying and elderly populations from financial fraud through the HIVE initiative. His recent publications demonstrate a decisive shift toward ethical frameworks for behavioural security interventions and multi-layered responsibility models. Key themes include AI-driven behaviour change, geopolitical cyber conflict analysis (notably Sino-Russian coordination during Ukraine), and moving beyond regulatory compliance toward sustainable security practices. He actively supervises PhD candidates and leads significant research initiatives including ResilMesh (cyber resilience for distributed systems) and NCSC-funded projects securing UK higher education institutions. His grant portfolio reflects strong industry-government-academia partnerships. ResilMesh: Situation Aware enabled Cyber Resilience (2023-2026, UKRI) Behaviour Change: AI-based Security Approach (2019-2020) Scoping Studies for Securing UK HEIs (2019-2020, NCSC) Attacker Economics & Threat Modelling (2018-2019, KPMG) Mersinas co-founded the HIVE research consortium collaborating with London Met Police, NCSC, and financial institutions to combat cyber exploitation of vulnerable populations. As Director of the International Cyber Security Centre of Excellence, he drives global research partnerships across Europe, North America, and Asia.

• Privacy-Preserving Technologies
• Participatory Sensing Networks
• Mobile Collaborative Sensing
• +۳ مورد دیگر

Kevin Wiesner is affiliated with Ludwig Maximilians University Munich, where he has conducted research in privacy-preserving technologies and participatory sensing. His work focuses on secure data aggregation, privacy mechanisms in mobile and collaborative systems, and environmental monitoring. Wiesner holds a PhD in Computer Science from LMU Munich (2015), with a thesis on privacy challenges in participatory sensing networks. His research also extends to semantic web services, mobile narratives, and distributed network management. Education: PhD in Computer Science, Ludwig Maximilians University Munich (2015) Research Interests: Privacy-Preserving Systems Participatory Sensing Networks Collaborative Mobile Sensing Data Security in Ubiquitous Computing Geospatial Privacy Mechanisms Key Contributions: Wiesner has developed frameworks like PRICAPS for privacy-aware calibration in sensornets and explored adaptive traffic prediction systems. His work emphasizes balancing data utility with individual privacy in participatory environments.

Rens Kortmannمشاهده پروفایل

استادیار

• Simulation gaming
• Gamification
• Systems modeling
• +۵ مورد دیگر

Rens Kortmann is an Assistant Professor at Delft University of Technology, affiliated with the Faculty of Technology, Policy and Management and the Multi-Actor Systems department. He operates within the Policy Analysis group, focusing on systems modeling and simulation to address societal challenges like energy transitions. Education: MSc in Cognitive Science (University of Groningen), PhD in Computer Science (Maastricht University), with research experience at Edinburgh's Artificial Intelligence department His research emphasizes simulation gaming as a primary method, complemented by discrete event simulation, agent-based models, and cybernetics. He investigates games' potential to drive cultural change through embodied experiences and ludic performances, collaborating on projects like: ROTBEESTEN?! – a motivator game for forensic mental healthcare training Talk that Talk – persuasive card game against sexually transgressive behavior Veerkracht series – servant-leadership development games Parsifal Game Opera – performance-art-meets-game cultural experiments Key trends in his publications include: 2023-2021: Forensic vigilance training, sexually transgressive behavior interventions 2019-2018: Contextual game design principles, urban canal logistics 2016-2014: Ludic performances, servant-leadership simulations Scientific recognition includes: Mekel Prize for sustainable innovation (2017) from TU Delft Organized ISAGA game design summer school (2014) and served as ISAGA conference chair (2017) He contributes to academic governance as a reviewer for journals/conferences and through collaborative works with researchers like Vincent Peters, Alexander Verbraeck, and Gwendolen Bekebrede. His 2024-2026 secondary affiliation includes the Macromechanic Laboratory in Civil Engineering and Geosciences.

• Digital Education
• Artificial Intelligence in Learning
• Virtual Reality in Education
• +۵ مورد دیگر

Rawad Chaker is a Professor of Educational Sciences at Université Lumière Lyon 2, holding an HDR (Habilitation à Diriger des Recherches). He serves as Director of Studies at FORSE e-learning Campus and coordinates the Master's programs in Ingénierie Numérique et Pédagogique en Education et Formation . His research focuses on digital technologies in education, including virtual reality, AI, robotics, and hybrid learning systems. He leads projects such as SIREN-VR (VR emergency training), MODELI+ (3D anatomy tool), and PHOENIX (sustainability education). Research Interests: Embodied cognition, distributed learning theories, AI in education, environmental citizenship education, and MOOC analysis. His work bridges sociological and psychological approaches to study educational phenomena. Grants & Projects: ANR-funded initiatives (SAPS, MODELI+), EU COST Action PHOENIX, and national programs like INCLUDE. Collaborates with institutions like LIBM, LIRIS labs and Le Vinatier Hospital. Teaching: Coordinates interdisciplinary programs integrating digital pedagogy. Advises on innovative training methods for healthcare and engineering professionals. Key Contributions: Over 50 peer-reviewed articles since 2012, including influential works on embodied learning in VR, robot integration in K-12, and pandemic-era anatomy education. Active in international networks like COST Action CA19123.

Leo Yazhou Jiangمشاهده پروفایل

دانشیار

• Electric Power Systems
• Renewable Energy Integration
• Grid Decarbonization
• +۶ مورد دیگر

Dr. Leo Yazhou Jiang serves as an Associate Professor in the Department of Electrical & Computer Engineering at Clarkson University's Coulter School of Engineering & Applied Sciences and as Director of the Center for Electric Power System Research (CEPSR). He also holds part-time industry positions as Principal Engineer at Avangrid and RLC Engineering, bridging academic research with grid modernization efforts. Dr. Jiang earned his Ph.D. in Electrical Engineering from Washington State University in 2016, following prior industry experience at GE Global Research as a Power System Engineer (2016-2020). His research focuses on developing systems for resilient and sustainable power grids, emphasizing grid flexibility to accelerate decarbonization, renewable energy uncertainty management, fast power recovery for reliability, and situational awareness of distribution systems with distributed energy resources. This work addresses critical challenges in transitioning to carbon-free power infrastructure through physics-based modeling and AI-driven analytics. Dr. Jiang has received significant recognition including: 2024 NSF CAREER Award for "Managing Uncertainties in Renewable Powered Grids" ($500,000, 2024-2029) 2018 GE Dushman Technology Excellence Award for differentiating GE products He leads multiple high-impact research initiatives funded by NSF, DOE, NYISO, NYSERDA, and industry partners, including projects on operational resource adequacy, grid capacity expansion, offshore wind forecasting, and REU programs for student training. As CEPSR Director, he fosters collaborations with GE, NYPA, NYSEG, and other energy stakeholders to translate research into grid modernization solutions.

Frank Ferraroمشاهده پروفایل

دانشیار

• Natural Language Processing
• Probabilistic Modeling
• Unsupervised Learning
• +۵ مورد دیگر

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. Stojanovicمشاهده پروفایل

استاد

• Artificial Intelligence
• Edge Computing
• Smart City Systems
• +۳ مورد دیگر

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.