جست‌وجوی استاد و پژوهشگر

Regis Kopperمشاهده پروفایل

استادیار

• Extended Reality (XR)
• Human-Computer Interaction (HCI)
• Immersive User Interfaces
• +۴ مورد دیگر

Dr. Regis Kopper is an Assistant Professor of Computer Science at Iowa State University, leading the Interactive Realities Laboratory (IRLab). He holds a PhD from Virginia Tech and prior faculty positions at UNC Greensboro and Duke University. His research focuses on Extended Reality (XR) interfaces, user experience (UX), and immersive systems for healthcare, public safety, and training. Notable contributions include modular AR interfaces for first responders, VR surgery guidance tools, and studies on visual search patterns in medical diagnostics. Education: PhD in Computer Science (Virginia Tech, 2011); MS & BA in Computer Science (Pontifical University of Rio Grande do Sul, Brazil, 2006 & 2004). Research Interests: Design of 3D UIs, VR/AR applications in healthcare, and reducing VR discomfort. Key achievements include Best Paper Awards at IEEE 3DUI and the IEEE VR Grand Prize. Current projects aim to democratize healthcare access via immersive tech. Grants: NSF, NIH, NIST, DoD, FLAD-Portugal, FAPESP Awards: IEEE 3DUI Best Paper, FLAD Fellowship Labs: Interactive Realities Lab (IRLab), Duke immersive Virtual Environment (DiVE) Recent work explores equitable healthcare solutions through XR, including virtual colonoscopy viewers and nutrition education programs.

Thiab Tahaمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Parallel Algorithms
• +۷ مورد دیگر

Thiab Taha is a Professor of Computer Science at the University of Georgia. He holds a Ph.D. in Mathematics from Clarkson University (1982). His research focuses on Numerical Analysis, Scientific Computing, Parallel Algorithms, and applications in Bioinformatics, Health Informatics, and Nonlinear Waves. He has held editorial roles including Senior Editor of the International Journal Mathematics and Computers in Simulation and Guest Editor for multiple special issues on Nonlinear Waves. Prof. Taha’s work spans computational methods for nonlinear evolution equations, GPU-accelerated algorithms, and deep learning applications in medical imaging and video captioning. Notable achievements include the 3rd IMACS 2011 Most Successful Papers Award and his role as Vice President of IMACS. His research also intersects with high-performance computing and big data challenges, including grants like the NSF EAGER initiative for Big Data Consulting Services (2013). Education: Ph.D. in Mathematics (Clarkson University, 1982) Key Contributions: Development of parallel numerical schemes for nonlinear PDEs, GPU-optimized algorithms, and AI-driven medical imaging solutions. Labs/Teams: Involved in computational biology projects like KINSOLVER for simulating biochemical networks and DrDRV3 for ophthalmic lesion detection. His interdisciplinary research bridges computational mathematics, AI, and real-world applications in healthcare and data science. Current efforts include advancing GAN-based meta-universe creation and energy-preserving fractional differential equation solvers.

Siddharth Bhandariمشاهده پروفایل

استادیار

• Construction Safety
• Experimental Psychology
• Human Factors Engineering
• +۱ مورد دیگر

Siddharth Bhandari is an Assistant Research Professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado Boulder. He also serves as the Associate Director of Research at the Construction Safety Research Alliance. Bhandari holds BS, MS, and PhD degrees in Civil Engineering from the University of Colorado Boulder, demonstrating a strong academic foundation in engineering disciplines. His research focuses on construction safety, experimental psychology, human factors engineering, and workplace mental well-being, with a particular interest in applying innovative technologies like virtual reality and augmented reality to enhance safety training and hazard detection. He has received notable awards including the National Safety Council’s Rising Stars of Safety Award (2021), ELECTRI International’s Early Career Award (2019), and a Best Paper Award at the 2015 International Construction Specialty Conference. His work emphasizes cross-disciplinary approaches, integrating psychological principles with engineering solutions to address complex safety challenges in construction environments. Bhandari’s research also explores organizational learning systems, incident investigation methodologies, and the impact of mental wellness interventions on worker performance. His recent publications (2023–2025) highlight advancements in VR/AR applications for safety skill development, bias mitigation in incident investigations, and predictive modeling of severe injuries using machine learning. These contributions underscore his commitment to bridging theoretical frameworks with practical industry solutions to improve worker safety and organizational resilience.

Ahmad Ryad Soobhanyمشاهده پروفایل

دانشیار

• Human AI Collaboration
• Security & Forensics
• Immersive Environments
• +۵ مورد دیگر

Dr. Ahmad Ryad Soobhany is an Associate Professor in Computer Science at Heriot-Watt University in Dubai, UAE. He serves as Deputy Director of Ethics and Associate Director of Academic Quality in the School of Mathematical and Computer Sciences. His research focuses on Human AI Collaboration applied to security and health, with expertise in Multimedia Security, Computer Vision, and Context-Aware Security in cyber-physical systems. Education: PhD in Computer Science and Multimedia Security (Keele University, UK). Previous roles include Postdoctoral Research Fellow at Leeds Beckett University, Marie Curie Fellow at Warwick University, and Digital Forensics Researcher at Forensic Pathways Ltd. He holds adjunct lecturer roles and has led projects in immersive environments and forensic investigations. His research outputs span AI-driven security solutions, medical diagnostics via OCT imaging, and attention management for ADHD through interaction design. He co-chairs the ICITA conference and HAIC Symposium, contributing to UN Sustainable Development Goals through technology innovation. Grants and advising: Actively supervises PhD students in areas like Immersive Environments and Context-Aware Security. His work bridges academia and industry, emphasizing ethical AI practices and interdisciplinary collaboration.

Mariusz Klećمشاهده پروفایل

پژوهشگر

• Music Information Retrieval
• Machine Learning
• Deep Neural Networks
• +۵ مورد دیگر

Mariusz Kleć is a Researcher and faculty member at the Polish-Japanese Academy of Information Technology (PJATK) , affiliated with the Faculty of Information Technology and the Department of Multimedia . He is currently completing his PhD in Computer Science, focusing on music processing with deep neural networks. His work bridges computer science, music engineering, and machine learning, emphasizing practical applications in recommendation systems and healthcare. Education: PhD in progress (2014–present): Research on music classification and organization using DNNs. Postgraduate Sound Engineering (2014–2015): Project on equalizer and dynamic processor usage in music production. MSc in Computer Science (2005–2010): Thesis on sound similarity for music recommendation systems. High School of Visual Arts (2000–2005): Focus on visual identity design. Technical Expertise: Full-stack web development (Java, JavaScript, React, NodeJS, MongoDB), machine learning, graphic design (Adobe Suite), and audio engineering. Research Interests: Mariusz explores intersections of music processing, AI, and multimedia systems. His projects include: Music recommendation systems leveraging personality traits and neural networks. Automated genre recognition using deep learning and wavelet transformations. Applications of AI in healthcare for early symptom detection. Professional Experience: Administrator of Recording Studio (PJATK, 2012–present): Manages equipment and event coordination. Internship at Sony Stuttgart (2013): Developed an audio classification DNN in MATLAB. Web developer (2008–2011): Front-end and WordPress projects, SharePoint system administration. Labs/Teams: Active contributor to the CLARIN-PL project (2019–2021) for speech tool development. Collaborates with the Multimedia Department on sound design and data mining.

Stavroula Kalogerasمشاهده پروفایل

استادیار

• Transmedia Storytelling
• Scholarship of Teaching and Learning (SoTL)
• AI in Education
• +۳ مورد دیگر

Stavroula Kalogeras is an Assistant Professor at Heriot-Watt University's School of Social Sciences, Senior Fellow of the Higher Education Academy (SFHEA), and a pioneer in transmedia education pedagogy. With 22+ years in higher education across multiple cultures, she bridges research-practice gaps through design thinking, narrative instruction, and neuroscience. Bachelor of Arts (BA), Communications (Mass Media), SUNY Plattsburgh Master of Business Administration (MBA), Telecommunications, University of La Verne Postgraduate Certificate in Research, University of Hull PhD, Transmedia Storytelling Framework, University of Hull Her research focuses on transmedia storytelling , AI in education , and purpose-driven brands , aiming to enhance student engagement and organizational behavior. Recent work explores generative AI ethics, social media influencer dynamics, and AI-augmented creativity. Publications include two books on pedagogical enhancement and 16 research outputs (2013-2025), with 15 most recent articles spanning transmedia psychology , neuroeducation , and digital brand ethics . Awards include dual digital marketing certification, LEGO Serious Play methodology training, and global leadership nominations. Certified Digital Marketing Professional (DMI & AMA) International Conference Best Paper Award LEGO Serious Play Certification SFHEA (Senior Fellow of Higher Education Academy) Female Factor Global Leadership Nomination She leads the Heriot-Watt University Organizational Research in the UAE lab and contributes to Oxford University’s AI in Education initiatives, emphasizing evidence-based practices for transformative learning.

Nuhi Besimiمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Data Mining
• +۶ مورد دیگر

Nuhi Besimi is an Assistant Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (SEEU). His research focuses on machine learning, data mining, AI applications in education and music, and disaster response systems. He has published extensively in conferences like MECO and IEEE, addressing topics ranging from ethno-fusion music datasets to low-cost machine learning architectures. His work includes creating benchmark datasets for ethno-fusion music, developing energy-efficient ML systems using Raspberry Pi clusters, and analyzing media bias through data mining. Besimi collaborates with institutions in Montenegro, Croatia, and Albania on interdisciplinary projects. Recent trends in his publications emphasize AI-driven solutions for education, music technology, and disaster management. He has contributed to fake news detection surveys and automatic literature review systems leveraging OpenAI tools. His research bridges theoretical data science with practical applications in diverse cultural and technological domains.

Pantelis Frangoudisمشاهده پروفایل

پژوهشگر

• Mobile/Wireless Networking
• Edge Computing
• Network Softwarization
• +۴ مورد دیگر

Pantelis Frangoudis is a PostDoctoral Researcher at the Distributed Systems Group of the Vienna University of Technology since 2019. His academic journey includes a Ph.D. in Computer Science (2012), M.Sc. (2005), and B.Sc. (2003) from the Department of Informatics, Athens University of Economics and Business (AUEB) , Greece. His research spans Edge Computing , IoT , Network Softwarization , Federated Learning , and Wireless Networking , focusing on adaptive systems and security. Education B.Sc. in Computer Science (2003), AUEB M.Sc. in Computer Science (2005), AUEB Ph.D. in Computer Science (2012), AUEB His research explores Edge Computing Continuum systems, with emphasis on QoS-aware orchestration , serverless edge deployment , and self-adaptive IoT services . Recent work addresses federated learning for 6G , WebAssembly for edge serverless , and dynamic resource allocation in heterogeneous environments. Key projects include AloTwin (2023–2025), INTEND (2024–2026), and EDENSPACE (2019–2022). His publications (2025–2020) cover machine learning for 5G/6G , MEC application orchestration , and IoT security , with a focus on distributed systems and edge-cloud collaboration . Scientific Awards ERCIM Alain Bensoussan Post-Doctoral Fellowship He has supervised multiple diploma theses at TU Vienna, including topics like serverless edge computing , traffic light AI optimization , and vertical farming IoT systems . His collaborations with institutions like EURECOM (France) and IRISA/INRIA (France) reflect a global academic footprint.

Agoritsa Gogoulouمشاهده پروفایل

استاد آموزشی

• Didactics of Informatics
• Computational Thinking
• Collaborative Learning Environments
• +۶ مورد دیگر

Agoritsa Gogoulou is a Teaching Professor at the Department of Informatics & Telecommunications (DIT) of the National and Kapodistrian University of Athens (NKUA), specializing in the subject of Didactics of Informatics and ICT in Education. She serves as the scientific advisor and academic supervisor for the undergraduate Pedagogical and Teaching Competence Program offered by DIT. With extensive experience in secondary and tertiary education, she focuses on innovative teaching methodologies, particularly in e-learning, adaptive learning environments, and collaborative learning frameworks. Her academic roles include teaching courses such as 'ICT in Learning & Didactics of Informatics,' 'Design & Implementation of Digital Educational Applications,' and 'Design and Use of E-Learning Environments.' She has contributed to adult education programs, curriculum design, and the development of educational materials for diverse audiences. Her research emphasizes computational thinking, educational assessment, and the integration of technology in learning processes. A prolific scholar, Dr. Gogoulou has over 50 publications in international journals and conferences, focusing on adaptive learning systems, peer assessment mechanisms, and technology-enhanced learning environments. Her work bridges pedagogical theory with practical educational technology solutions, aiming to improve student engagement and conceptual understanding in computer science and informatics education.

• Computer Science
• Human-Computer Interaction
• Virtual Reality
• +۴ مورد دیگر

Efe Bozkir is a researcher affiliated with the University of Tübingen, Germany. His work focuses on advancing virtual reality (VR) and augmented reality (XR) technologies through eye tracking, privacy-preserving data techniques, and integrating large language models (LLMs) into immersive systems. He explores human-computer interaction challenges, particularly in educational settings and ethical AI applications. Research interests include: privacy in eye-tracking data, generative AI for synthetic media analysis, and optimizing federated learning algorithms. He has co-authored over 50 publications in top-tier venues such as CHI, VR, and ACM Transactions on Applied Perception. Recent articles highlight innovations like CUIfy (an LLM integration toolkit for XR), privacy benchmarks for iris obfuscation, and AI-driven video assistants for active learning. His work consistently bridges technical advancements with societal implications, addressing GDPR compliance in metaverse environments and ethical AI use in education. Bozkir collaborates closely with interdisciplinary teams, including Enkelejda Kasneci (co-author in 49 works) and Süleyman Özdel. His PhD (2022) laid groundwork for 'Everyday Virtual Reality through Eye Tracking.' Though no formal awards are listed, his prolific publication record reflects significant contributions to XR research.

• Cultural Studies
• Communication and Media Studies
• Journalism and Professional Writing
• +۳ مورد دیگر

Dr. Jay Daniel Thompson is a Senior Lecturer and Discipline Lead (Digital Communication) at RMIT University's School of Media & Communication. His research focuses on intersections of journalism, disinformation, digital hostility, and media ethics. He has co-authored two books: Content Production for Digital Media (2022) and Fake News in Digital Cultures (2022), and is completing a monograph on journalistic reporting of conspiracy movements for Routledge. Thompson has received funding from the Australian Research Council and ANU. He is a Core Member of RMIT's Communication and Change Co-Lab. His industry experience includes freelance journalism since 1998, with works published in ABC Religion & Ethics, Antic Magazine, and others. He frequently speaks on media topics for outlets like The Guardian and Triple J. Research Interests Cultural Studies Communication and Media Studies Journalism and Professional Writing Performing Arts and Creative Writing Historical Studies Film, Television, and Digital Media Grants & Collaborations Australian Research Council competitive funding Australian National University grants Labs/Teams Core Member of RMIT's Communication and Change Co-Lab , focusing on interdisciplinary digital communication research.

Vijay Mookerjeeمشاهده پروفایل

استاد

• Information Systems
• Fintech
• Artificial Intelligence
• +۳ مورد دیگر

Vijay Mookerjee is the Charles and Nancy Davidson Chair Professor of Information Systems at the Jindal School of Management, University of Texas at Dallas. He serves as Director of the Doctor of Business Administration (DBA) Program, PhD Programs, and the Center for the Management of Financial and Digital Asset Technologies (FD-Tech Center). His research focuses on fintech, artificial intelligence, and information systems, with notable work on digital commons, data cooperatives, and cybersecurity strategies. Education: PhD in Information Systems from Purdue University (1991), MBA from Indian Institute of Management (1982), and BE from Nagpur University (1978). Courses taught include MIS 6204, MIS 7420, and DBU 7412. Research interests span digital asset technologies, data monetization, and operational strategies in online markets. His work explores challenges like ad exchange mechanisms, cyber insurance efficacy, and cooperative resource allocation in agriculture. Awards include the INFORMS ISS Distinguished Fellow (2011) and PhD Mentor of the Year (2000). His recent articles address real-time bidding dynamics, data cooperative sustainability, and cloud computing cost optimization. Professional affiliations include The Institute for Operations Research and the Management Sciences (INFORMS). His advisory roles and grants focus on integrating AI, cybersecurity, and fintech solutions for industry challenges.

• Distributed Systems
• Performance Evaluation
• Scheduling Algorithms
• +۴ مورد دیگر

Dick H J Epema is a Professor at Delft University of Technology (TU Delft) in the Distributed Systems Group, part of the Faculty of Electrical Engineering, Mathematics, and Computer Science. His work focuses on distributed systems, performance evaluation, and cloud computing. He has organized major conferences like HPDC and contributed to ACM/IEEE initiatives. PhD: Decay-usage scheduling in multiprocessors (1998) Key roles: Conference Chair (HPDC 2012/2013), Workshop Organizer (LSAP) Research interests include distributed architectures, peer-to-peer systems, and scheduling algorithms. Notable projects involve edge-centric computing, gamification in education, and blockchain anonymity analysis. Over 130+ publications across conferences/journals like IEEE TPDS, ACM Transactions, and SIGCOMM. Labs/Teams: Core member of TU Delft's Distributed Systems Group, collaborating with institutions like Chinese Academy of Sciences and University of Trento.

• Computer Vision
• Digital Forensics
• Signal Processing
• +۵ مورد دیگر

Francesco De Natale is a Full Professor at the Department of Information Engineering and Computer Science, University of Trento. His expertise spans Computer Vision, Digital Forensics, Signal Processing, and Multimedia Systems. He teaches courses including 'Fondamenti di Comunicazioni', 'Fondamenti di Elaborazione dei Segnali', and 'Tecnologie Multimediali', focusing on signal analysis, communication systems, and multimedia processing. Research Interests: Digital forensics (e.g., deepfake detection, image provenance), computer vision applications (3D haptic modeling, crowd behavior analysis), and embedded systems for IoT/AAL solutions. Key Projects: Developed the AUSILIA platform for assisted living and Neuroberry for pervasive EEG signaling. Contributed to datasets like WILD for synthetic image analysis. Recent Focus: Combining machine learning with forensic techniques for detecting media manipulation, and energy-efficient edge computing for drones/UAVs. His work bridges theoretical research with practical applications in healthcare, cybersecurity, and robotics. Over 50+ publications since 2012 highlight contributions to signal processing, multimedia forensics, and human behavior analysis.

Jason Roosمشاهده پروفایل

دانشیار

• Causal inference
• Bayesian econometrics
• Structural modeling
• +۱۰ مورد دیگر

Jason Roos is an Associate Professor of Marketing at the Rotterdam School of Management, Erasmus University. He holds a PhD in Business Administration (Marketing) from Duke University and a BA from the University of Washington. His research bridges marketing, econometrics, and behavioral science, focusing on causal inference, structural modeling, and digital consumer behavior. PhD in Business Administration (Marketing), 2012, Duke University BA in Business Administration, 2005, University of Washington His research interests include causal inference, Bayesian econometrics, experimental methods, internet and new media, entertainment goods, and digitization. He investigates how information, learning, and adaptation affect consumer choice, particularly in digital and entertainment contexts. His work develops advanced econometric methods to improve causal inference from experimental and observational data. His recent publications, appearing in journals like Marketing Science , Management Science , and Journal of Marketing Research , explore topics such as compliance promotions, internet news consumption, movie demand, and advertiser learning. The articles reflect a strong interdisciplinary trend, combining marketing theory with rigorous quantitative methods and digital data. He is a recipient of the INFORMS Society for Marketing Science (ISMS) Doctoral Dissertation Proposal Competition award. His research has practical implications for marketing strategy, digital platform design, and public policy. He supervises PhD students and contributes to the academic community through teaching and research mentorship. He maintains an active research agenda, with ongoing work on digitization of communities, fake news exposure, and experimental design. He is also engaged in public discourse on academic freedom and labor rights via social media.