جست‌وجوی استاد و پژوهشگر

Matjaz Percمشاهده پروفایل

استاد

• Complex Systems
• Nonlinear Dynamics
• Network Science
• +۱۲ مورد دیگر

Matjaz Perc is a Professor of Physics at the University of Maribor and Vice Dean of Natural Sciences at the European Academy of Sciences and Arts. He is a member of Academia Europaea and the European Academy of Sciences and Arts, and recognized among the top 1% most cited physicists by Clarivate Analytics in 2020. His research interests span Complex Systems , Network Science , Sociophysics , Game Theory , Evolution of Cooperation , Neural Networks , and Epidemic Modeling . He applies physics-based approaches to social, biological, and economic systems, often integrating AI and data analytics. The recent trend in his publications shows a strong focus on higher-order interactions in networks , cooperation dynamics , synchronization in neural systems , epidemic modeling on simplicial complexes , and AI-driven decision-making . His work bridges physics with applications in healthcare, economics, and sustainability. Young Scientist Award for Socio and Econophysics, German Physical Society, 2015 USERN Laureate, 2017 Zois Award, 2018 Fellow of the American Physical Society, 2019 Top 1% Most Cited Physicist, Clarivate Analytics, 2020 Matjaz Perc has not publicly listed his advisees, but he leads a prolific research group with extensive international collaborations. He has contributed to major interdisciplinary projects, including pan-European responses to the COVID-19 pandemic. His work is supported by high-impact publications and recognition from leading scientific academies. He is actively involved in promoting network science and complex systems research through editorial roles and collaborative platforms.

• Games Technology
• 3D Modelling
• Computer Animation
• +۱۳ مورد دیگر

Alain Simons is a Senior Lecturer in Games Technology Programming at Bournemouth University, Faculty of Media and Communication, within the Department of Games Technology and Games Programming. His work bridges technical innovation and educational application in game development, 3D modeling, and digital imaging. His research focuses on novel imaging technologies such as VectorPixels , which aim to reduce bandwidth usage by representing photographic images through vector-based rendering. He also pioneers Scale Model Games (SMG) , integrating physical miniatures with online multiplayer systems for immersive tactical gameplay, and eScale Model Racing , simulating real-world racing conditions in scaled environments. Additional work includes avatar-based support for online learners and gamification of historical and engineering education. His publications span augmented reality, game engines, architectural visualization, and educational technology. Trends show a consistent focus on blending physical and digital interactivity, optimizing visual data, and enhancing learning through gamification. Senior Fellow of Higher Education Academy (2018) Alain supervises final-year student projects and integrates research into teaching. He has secured multiple grants from EPSRC, HEFCE, HEIF, and the Paul Mellon Centre, supporting projects in immersive simulation, structural behavior gamification, and VR for STEM outreach. He is actively involved in consultancy, including advising on Innovate UK bids. He leads initiatives in broadcasting student work across university screens and developing automated marking tools. His lab activities center on the Center for Games and Music Technology , where students engage in modeling, programming, and historical research for gameplay development.

Shakeel Ahmadمشاهده پروفایل

دانشیار

• Multimedia Communications
• Computer Networks
• Network Optimization
• +۵ مورد دیگر

Dr. Shakeel Ahmad is an Associate Professor in the Department of Science and Engineering at Solent University since 2015. He leads the BSc (Hons) Cyber Security Management, BSc (Hons) Computer Systems and Networks Engineering, and MSc Applied AI and Data Science programs. His research focuses on optimizing multimedia communications and computer networks to maximize user quality of experience, particularly addressing challenges in video streaming over mobile and wireless networks. He holds a PhD (Dr.-Ing) from the University of Konstanz (2008), an MSc from TUHH, and a BSc from UET Lahore. Research Interests: Multimedia Communications Network Optimization for Video Streaming 4K/8K Video Transmission Virtual Reality Network Challenges Error Resilience Techniques His recent work explores digital content strategy in higher education, including website design, student recruitment tactics, and simplification of educational content ecosystems. He has secured significant funding, including £500k from the Office for Students (OfS) in 2020 for an AI/Data Science conversion course and £50k in 2021 for a National Data Skills Pilot project. Awards/Fellowships: Fellow of the Higher Education Academy PG Certificate in Higher Education Teaching & Advising: He teaches multimedia communications, AI, data science, and cybersecurity. Supervised multiple PhD completions and contributed to successful research projects like the EU-funded 'Community Network Game' (2010-2012). Active member of IEEE and IET.

• Computer Vision
• Deep Learning
• 3D Point Cloud Processing
• +۷ مورد دیگر

Yusuf Hüseyin Şahin is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He earned all his academic degrees—B.Sc., M.Sc., and Ph.D.—from the same institution in Computer Engineering. His research lies at the intersection of computer vision, deep learning, and 3D data processing, with applications in medical imaging, architectural heritage, and drone-based vision systems. B.Sc., M.Sc., Ph.D. in Computer Engineering, Istanbul Technical University His primary research interests include 3D point cloud processing, deep learning, image segmentation, adversarial attacks, and medical image analysis. He has published extensively on these topics, particularly focusing on point cloud registration, segmentation, and classification using neural networks. His recent work explores uncertainty modeling, active learning, and generative models for both synthetic data creation and real-world applications. The trend in his publications from 2017 to 2024 shows a clear progression from foundational work in CNN-based 3D classification and cerebral vessel analysis to advanced topics such as dynamic graph networks, conformal prediction, and heritage digitization. His work bridges theoretical machine learning with practical applications in healthcare and cultural preservation. He is currently leading a research project titled "Konformal Tahmin ile Sıcaklık Tahmin Modellerinde Doğruluğun Arttırılması" (Improving Temperature Prediction Accuracy Using Conformal Forecasting), funded under the SRP program from 2025 to 2026. This indicates an expanding interest in predictive modeling and uncertainty quantification. While no scientific awards are listed in the provided texts, his h-index of 5 and 293 citations on Scopus reflect an active and growing research profile. Dr. Şahin teaches undergraduate courses such as Data Structures (BLG 223E) and Object-Oriented Programming (BLG 252E). He has no listed advisees or thesis supervision records. He is part of a collaborative research network involving Gozde Unal and other researchers in medical and architectural computer vision. His lab activities appear to focus on deep learning for 3D data, with emphasis on robustness, efficiency, and real-world deployment.

Mark Snyderمشاهده پروفایل

استاد

• Computer Science
• Autonomic Mobile Sensor Networks
• Coverage Algorithms
• +۷ مورد دیگر

Mark Snyder is a Professor in the School of Business and Technology at Florida SouthWestern State College (FSW). His academic and professional background bridges advanced computer science research with real-world software development in high-impact industries such as travel technology and cybersecurity. Education: Ph.D. in Computer Science, Missouri University of Science & Technology, 2014 M.S. in Computer Science, Missouri University of Science & Technology, 2008 B.S. in Computer Science, University of Central Missouri (formerly Central Missouri State University), 1987 Dr. Snyder's research focuses on autonomic mobile sensor networks, coverage algorithms, fault tolerance, and cybersecurity, particularly in DNS and bandwidth attack defense. His work combines theoretical algorithm design with practical applications in distributed and mobile systems. He has published in journals and conferences including the International Journal of Space-Based and Situated Computing and IEEE LCN. His recent publications show a strong trend in developing robust, self-organizing algorithms for mobile sensor networks under mobility constraints, as well as applying game-theoretic models to network security. These works span topics from exploratory coverage to statistical defenses against cyberattacks, reflecting a deep integration of distributed computing and security. Dr. Snyder has no listed scientific awards in the provided text. He is actively involved in teaching software development to early-career and vocational rehabilitation students, preparing them for successful careers in tech. His courses include COP 1000, COP 1822, COP 2360, COP 2362, COP 2700, CGS 1100, CIS 2321, CTS 1131, and CTS 1133. He has also led innovative projects such as the Allegiance game at Microsoft Research and developed navigation software for cruise ships. No grants or advising relationships are detailed in the text. His industry experience includes key roles at Microsoft and Expedia, where he helped build the first online travel reservation system and architected major systems like Expedia Rewards and Cruise Reservation. He has also worked as a consultant on location-aware services for Princess Cruise Lines.

Rita Kuoمشاهده پروفایل

استادیار مهمان

• Game-based Learning
• Mobile Learning
• Ubiquitous Learning
• +۱۲ مورد دیگر

Rita Kuo is a Visiting Assistant Professor in the Department of Computer Science and Engineering at New Mexico Institute of Mining and Technology (New Mexico Tech), where she teaches foundational and advanced courses in computer science, including Python programming, object-oriented programming, web development, and human-computer interaction. She holds a Ph.D. in Electronic Engineering from Chung-Yuan Christian University, Taiwan, and has prior academic experience at Mingdao University and Knowledge Square, Inc. Ph.D., Electronic Engineering, Chung-Yuan Christian University (2007) M.S., Information and Computer Engineering, Chung-Yuan Christian University (2002) B.S., Information and Computer Engineering, Chung-Yuan Christian University (2000) Her research focuses on innovative educational technologies, especially game-based learning, mobile and ubiquitous learning, automatic item generation, and intelligent tutoring systems. She explores how gamification, cognitive theory, and AI can enhance student engagement and learning outcomes. Her work integrates computational intelligence with pedagogical design to create adaptive and motivating learning environments. The most recent publications highlight trends in educational game design, learning analytics via Moodle plugins, gamified reward systems, and tools for improving cybersecurity awareness. These works emphasize usability, student engagement, and the integration of cognitive and motivational theories into digital learning platforms. Her scientific contributions have been recognized with awards including the Best Technical Design Paper Award at GCCCE 2018 and an Excellent Paper Award at the International Conference on Technology in Education (2018). Best Technical Design Paper Award, GCCCE 2018 Excellent Paper Award, International Conference on Technology in Education, 2018 Rita Kuo has led and co-led multiple research grants, including projects funded by Google CSR, New Mexico Department of Transportation, and the Computing Research Association. She mentors undergraduate and graduate students in research related to educational technology, gamification, and learning analytics. Her leadership extends to professional service as Vice Chair in Equity, Diversity & Inclusion for IEEE TCLT and Chair of the Educational Gamification SIG in APSCE. She is actively involved in the development of platforms such as GRACE (annotation and clustering), ICER (in-game rewards), and ERIC API, and leads the design of educational games like MEGA World. Her current research emphasizes behavior analytics, mobile learning tools, and inclusive educational technologies.

Michael Szellمشاهده پروفایل

استادیار

• Urban Mobility
• Sustainability
• Network Science
• +۷ مورد دیگر

Michael Szell is Assistant Professor in the Department of Computer Science at the IT University of Copenhagen and External Faculty at the Complexity Science Hub Vienna. His interdisciplinary work bridges physics, mathematics, and computer science to study collective human behavior through large-scale data analysis and network modeling. Research Interests: His work centers on urban mobility, sustainability, and data visualization, with a focus on understanding how people interact with urban and online environments. Using computational and network-based methods, he investigates bicycle infrastructure, multimodal transport systems, sidewalk networks, and the social impacts of urban highways. His recent publications reveal a strong trend in urban sustainability and network science , particularly in optimizing bicycle networks and analyzing how urban design affects social connectivity. Articles in journals like Scientific Reports and PNAS highlight his impact in computational urban analytics. Award-winning developer of the massive multiplayer online game 'Pardus' Michael leads innovative research projects involving data-driven urban planning and has contributed to public discourse through media features and press highlights. His work often involves interdisciplinary collaboration and has practical implications for sustainable city development. He has developed interactive data visualization platforms and tools like BikeDNA for assessing cycling infrastructure.

Fotios Spyridonisمشاهده پروفایل

مدرس ارشد

• Human-Computer Interaction
• Serious Games and Gamification
• Digital Accessibility
• +۳ مورد دیگر

Dr. Fotios Spyridonis is a Senior Lecturer in Computer Science at Brunel University London, affiliated with the College of Engineering, Design and Physical Sciences. He contributes to the Interactive Multimedia Systems Research Group, Human Computer Interaction Research Group, and the Institute of Digital Futures. Research focus: Human-Centred Systems with real-world applications Primary affiliation: Brunel University London (since 2011) Teaching: Digital design methodologies and project supervision Research Interests span multiple domains within technology and human interaction: Serious Games for training and awareness Digital Accessibility standards Extended Reality (XR) applications Multisensory experience design Digital health solutions Publication Trends show sustained contributions to Human-Computer Interaction and XR technologies , with recent focus on: Accessibility barriers in digital systems Cybersecurity for virtual environments Multisensory authentication methods Public VR therapy applications Quality of Experience (QoE) frameworks Scientific Recognition includes: Fellow of the Higher Education Academy (FHEA) Review board memberships for top-tier journals and conferences Teaching Responsibilities include: CS5604 Digital Design Methodologies (Module Leader) CS2001 Year 2 Group Project CS2555 Work Placement CS3072/3605 Final-Year Project supervision CS3001/3606 Advanced Topics in Computer Science PhD Supervision covers: Nick Droutsas: Linguistic resources for accessibility Yuliya Chystaya: XR accessibility design Traecy Elezi: Mulsemedia in autonomous vehicles Laboratory Affiliations include: Interactive Multimedia Systems Research Group Human Computer Interaction Research Group Institute of Digital Futures Serious Games for Life, Health and Accessibility

Michele Willsonمشاهده پروفایل

استاد

• Digital Childhood
• Social Networks
• Algorithms and Everyday Life
• +۵ مورد دیگر

Professor Michele Willson is the Associate Provost and a Professor in Internet Studies at Curtin University. She holds significant leadership roles including Interim Provost (2024), Deputy Pro Vice Chancellor of Humanities, and former Head of the Department of Internet Studies. Her academic background includes a PhD from Monash University and a BA (Hons). Her research focuses on digital childhood, social and mobile gaming, algorithmic impacts, online communities, and women in sport. She has pioneered studies on technology’s role in everyday life, including algorithmic governance of childhood and the ethics of big data in social gaming. Her work bridges communication studies, political theory, and social sciences, emphasizing interdisciplinary collaboration in academia. Willson has authored/co-authored influential books such as Technically Together and A New Theory of Information and the Internet , and edited volumes on gaming landscapes. Her publications analyze how digital technologies reshape social practices, from gaming behaviors to scholarly collaboration. Education: PhD (Monash), BA (Hons) Key Roles: Associate Provost, Professor of Internet Studies, former Head of Department of Internet Studies Her research networks include founding WACCM (West Australian Communication, Culture and Media), fostering collaboration across WA universities. Willson is affiliated with AoIR, ICA, and ANZCA, contributing to global academic discourse on internet studies and digital culture.

• Artificial Intelligence
• Formal Methods
• Neuro-Symbolic AI
• +۴ مورد دیگر

Andreas Brannstrom is a Postdoctoral Fellow at the Department of Computing Science, Umeå University, Sweden, conducting research on formal and neuro-symbolic methods for trustworthy, human-centered artificial intelligence. His work spans theoretical foundations in knowledge representation to applied verification of interactive systems and intelligent decision support. His research focuses on formal verification of human-agent interaction, neuro-symbolic AI integration, and ethical AI development. Key methodologies include Answer Set Programming (ASP), formal argumentation, and Description Logic (DL), targeting applications in deception detection, computational empathy, and behavior-change systems. Recent work emphasizes security in information-seeking dialogues and socio-technical aspects of AI deployment. Analysis of his 2023-2025 publications reveals a dominant trend in verifying social engineering vulnerabilities through formal methods, with significant contributions to machine ethics ontologies and multicultural affective computing. His research consistently bridges theoretical AI frameworks with real-world applications in healthcare, industrial logistics, and public safety. Brannstrom is affiliated with Umeå University's Agents and Reasoning Group, Formal Methods for Trustworthy Hybrid Intelligence, and Responsible Artificial Intelligence research groups. His active projects include "Strategic Argumentation to deal with interactions between intelligent systems and humans" (2020-2024) and "Collaborative mixed-reality aid for children with autism" (2019-2020), demonstrating commitment to socially impactful AI research.

Regan Mandrykمشاهده پروفایل

استاد

• Game Studies
• Human-Computer Interaction
• Affective Computing
• +۳ مورد دیگر

Regan L. Mandryk is a Professor at the University of Saskatchewan and Tier 1 Canada Research Chair in Digital Gaming Technologies and Experiences. With over 200 publications cited 10,000+ times, she pioneered affective physiological evaluation for games and focuses on games for health, wellbeing, and interpersonal relationships. Inducted into Royal Society of Canada (2014) E.W.R. Steacie Fellowship (2018) Led inaugural CHI PLAY and Canadian graduate training program SWaGUR Research Interests : • Game-based wellbeing interventions • Toxicity and harassment in online spaces • Affective computing and player emotion • Accessibility in digital games • Social dynamics in multiplayer environments • Gamification for health outcomes Recent Article Trends highlight: 1) Toxicity mitigation in esports, 2) Physiological feedback mechanisms, 3) Spatial cognition in games, 4) AI integration in game design, 5) Social anxiety and digital play, 6) Cultural representation in gaming. Scientific Awards : Tier 1 Canada Research Chair (2020–present) E.W.R. Steacie Fellowship ($430,000, 2018) Royal Society of Canada Inductee (2014) Best Paper Awards at ACM CHI, CHI PLAY, IEEE Games, ASSETS, CSCW Teaching & Supervision : Developed courses in affective computing, game design, and human-computer interaction. Supervised numerous undergraduate honors theses on topics including biofeedback games, social anxiety in play, and toxicity detection systems.

• Distributed Systems
• Computer Networks
• Game Development
• +۱۰ مورد دیگر

César Canas is a researcher affiliated with McGill University , focusing on distributed systems and event-based architectures. His work bridges theoretical advancements with practical applications in multiplayer gaming and cyber-physical systems , often involving collaborations with institutions like Technische Universität Münich and University of Toronto. Research interests center on publish/subscribe (pub/sub) systems , network designs for real-time applications, and graph-based middleware. Key contributions include frameworks like GraPS (Graph Publish/Subscribe Middleware) and tools for monitoring pub/sub activity in cyber-physical systems. His publications from 2011–2016 highlight trends in event-driven architectures , with applications in interest management, parametric subscriptions, and scalable game networking. Notable collaborations include work on testbeds for pub/sub network engines and dynamic subscription evolution.

Anna Krauseمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Time Series Analysis
• +۷ مورد دیگر

Dr.-Ing. Anna Krause is a researcher at the Chair of Data Science (Informatik X) within the Faculty of Mathematics and Computer Science at the University of Würzburg. She leads the Deep Learning for Dynamical Systems Group and has been actively involved in teaching at the university since 2019, including courses on Machine Learning for Time Series Analysis and Data Mining. Doctoral degree in Electrical Engineering (2019), University of Hannover Diploma in Electrical Engineering (2009), Technical University Dresden Her research focuses on Environmental Sensing and Time Series Analysis , particularly on enhancing physics-based models using machine learning techniques for meteorological applications and sparse sensor networks. She has made significant contributions to explainable AI, climate modeling, and fraud detection systems. Anna's recent publications demonstrate expertise in climate modeling (ConvMOS, ICLR 2024-2025), physics-informed neural networks (TaylorPDENet, ECMLPKDD 2023), and fraud detection (MIDAS workshops, ECMLPKDD 2020-2023). She actively contributes to conferences as organizer and PC member, including ECMLPKDD and ICLR workshops. Scientific Awards Best ML Innovation Award (2020) for Deep Learning in Climate Modeling Best Student Paper Award (2020) for Multi-Task Land Use Regression Best Paper Award (2020) for Financial Fraud Detection with INALU The DynaBench dataset introduced in 2023 provides benchmark tools for learning dynamical systems from low-resolution data. Her work combines theoretical advancements with practical implementations, including edge computing applications for beekeeping monitoring systems.

INUZUKA Nobuhiroمشاهده پروفایل

استاد

• Intelligent Informatics
• Database Systems
• Theoretical Informatics
• +۵ مورد دیگر

Nobuhiro Inuzuka is a Professor in the Department of Information Engineering within the Faculty of Engineering at Nagoya Institute of Technology, specializing in intelligent informatics and data-driven applications. His research integrates theoretical informatics with practical implementations across diverse domains including social networks, robotics, and human behavior analysis. Education: Doctor of Engineering, Nagoya Institute of Technology Master of Engineering, Nagoya Institute of Technology His research focuses on intelligent informatics with emphases on machine learning for social network analysis, safe reinforcement learning, and data mining applications. Key areas include developing algorithms for community behavior modeling, martial arts evaluation systems using sensor data, and recommender systems incorporating social dynamics. His work bridges theoretical computer science with real-world implementations in counseling systems and robotics. Recent publications (2024) demonstrate consistent innovation in applying machine learning to complex human-centric problems, particularly in social network dynamics, safe robotics navigation, and evaluation systems that replicate human judgment. Trends show increasing integration of multi-relational data mining with reinforcement learning frameworks across retail analytics, sports science, and mental health informatics. Scientific Awards: 2019 JSAI National Conference Excellent Award 2013 IPSJ National Conference Student Encouragement Award 2011-2010 Information Science Workshop Awards (multiple) 1996 Tokai Branch Electrical Societies Encouragement Award Professor Inuzuka has secured significant research funding including a 4-year Grant-in-Aid for Scientific Research (C) on human relationship analysis algorithms (2015-2019) and multiple JST programs for data mining applications. His student advisees have received national recognition including the IPSJ Student Encouragement Award. Current projects focus on scientific methodology development for student counseling and knowledge discovery systems. He leads research within Nagoya Institute of Technology's Creative Engineering-Education Promotion Center, directing teams that develop data analysis systems for social networks, martial arts evaluation, and evacuation planning. His laboratory combines theoretical informatics with practical implementations using multi-relational data mining and machine learning frameworks.

• Stochastic Processes
• Probability Theory
• Mathematical Biology
• +۳ مورد دیگر

Ilie Grigorescu is an Associate Professor at the University of Miami , affiliated with the College of Arts and Sciences and the Department of Mathematics . He also collaborates with the Computer Science division within the same college. Research Interests: Stochastic Processes Probability Theory Mathematical Biology Evolutionary Modeling Interacting Particle Systems Applied Mathematics Recent Publications focus on branching diffusions, evolutionary fixation times, stochastic game theory, and neuronal phase transitions. His work connects probabilistic models to biological and network systems, including studies on hydrodynamic limits and risk-averse optimal stopping. Contact: Email at i.grigorescu@miami.edu or call (305) 284-2146.