جست‌وجوی استاد و پژوهشگر

Samy El-Tawabمشاهده پروفایل

استاد

• Intelligent Transportation Systems
• Computer Networks
• Vehicular Ad-Hoc Networks (VANET)
• +۶ مورد دیگر

Samy El-Tawab is a Professor and the Information Technology Program Director at James Madison University (JMU) within the College of Integrated Science and Engineering 's Department of Computer Science . He has been at JMU since 2012, progressing from Assistant to Associate to Full Professor in 2024. Education: Ph.D. in Computer Science (2012), Old Dominion University M.Sc. in Computer Science (2006), Alexandria University B.Sc. in Computer Science (2002), Alexandria University Research Interests span Intelligent Transportation, Vehicular Ad-Hoc Networks (VANET), Wireless Sensor Networks (WSN), Network Security, Internet of Things (IoT), Cloud Computing, and Autonomous Vehicles. His work focuses on creating passenger-aware autonomous systems and improving transportation efficiency through low-cost IoT solutions. Selected Projects include: Independent Mobility for the Elderly (2019): $120,000 Jeffress Trust Award 4-VA Transit Bus Optimization (2015): $37,700 Madison Trust Smart Parking (2016): Cloud-based parking app STEM Outreach (2015): Mobile tech integration for K-12 education Scientific Awards : 2020 Madison Scholar 2018 Virginia Governor's Technology Award 2017 Outstanding Junior Faculty 2017 CFI Engaged Teacher Scholar 2014 IEEE MASS Travel Award Teaching includes courses like Autonomous Vehicles, Wireless Networking, Security & Forensics, and TCP/IP Networks. He emphasizes project-based learning, with students working on real-world problems like parking solutions and transit monitoring systems.

Tobias Grundgeigerمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Psychological Ergonomics
• User Experience Design
• +۷ مورد دیگر

Dr. Tobias Grundgeiger is an Associate Professor in Human-Computer Interaction at Julius-Maximilians-University Würzburg, where he serves as an Academic Councillor in the Faculty of Human Sciences. He leads research in the Institute for Human-Computer-Media, specifically within the Psychological Ergonomics group under Prof. Dr. Jörn Hurtienne. Additionally, he holds an Associate Professor/Honorary Research Fellow position at The University of Queensland, Brisbane, Australia. His educational background includes: PhD studies at The University of Queensland, Brisbane, Australia (2007-2010) Psychology studies at the University of Regensburg (2001-2006) Habilitation/Associate Professor qualification in Human-Computer Interaction (2022) Dr. Grundgeiger's research focuses on the interaction between people and technology in socio-technical systems, particularly in healthcare environments such as hospitals, control rooms, and aviation. His work examines how technology can be designed and integrated into complex systems to maximize user benefits while maintaining safety. A secondary research interest explores technology's role in relation to dying and death, aiming to develop technologies that transform engagement with these experiences into meaningful, eudaimonic encounters. His methodological approach combines empirical studies in real-world settings with theoretical frameworks from activity theory, embodied interaction, and psychological need satisfaction. His recent publications reveal a strong focus on AI applications in anesthesiology, human-AI teaming, augmented reality interfaces, and interruption management in safety-critical contexts. A significant portion of his work examines how technology can support clinicians during high-stress medical procedures while maintaining workflow integrity. His research demonstrates how cognitive aids, documentation assistants, and monitoring systems can be designed to align with clinical workflows rather than disrupt them. Dr. Grundgeiger is actively involved in several major research projects, most notably as contact person for the CASSANDRA project (2022-2025), which develops an AI team member for anesthesiology. This €1.34 million project, funded by the German Federal Ministry of Education and Research, aims to create a voice-based virtual agent that supports anesthesia teams through automated documentation and clinical decision support. His teaching responsibilities span both undergraduate and graduate levels, covering Human-Computer Systems, Psychological Ergonomics, Healthcare Usability & User Experience, Eye-Tracking methods, and Theories of Human-Computer Interaction. His pedagogical approach emphasizes practical applications of theoretical concepts in real-world settings.

Rebecca Askewمشاهده پروفایل

دانشیار

• Drug Policy
• Criminology
• Sociology
• +۳ مورد دیگر

Dr. Rebecca Askew is a Reader (Associate Professor) in Criminology at Manchester Metropolitan University, associated with the Faculty of Arts and Humanities and the Department of Sociology and Criminology. She leads the Drugs, Policy and Social Change research group, focusing on drug use, drug markets, and policy reform through interdisciplinary lenses of criminology, sociology, and health research. Interests: Drug Policy, Critical Discourse Studies, Narrative Interviewing Grants: Leverhulme International Fellowship (2022-2023), ESRC New Investigator Grant (2018-2021), British Academy Small Grant (2015-2017) Her research explores the meaning and motivation behind drug consumption, emphasizing stakeholder participation in policy debates. She uses narrative interviews and critical discourse analysis to amplify voices of people with lived experience, challenging stigma and exclusion in drug policy reform. Current projects include a 2025 ISSDP conference in Manchester. Recent publications address social harm approaches , human values in drug policy , and lived experience inclusion . She serves as Trustee for ISSDP, on editorial boards of the International Journal of Drug Policy , and as Visiting Fellow at the Drug Policy Modelling Program in Sydney. Scientific Awards Leverhulme International Fellowship ESRC New Investigator Grant British Academy Small Grant Rebecca supervises PhD students on topics including drug user identity , neoliberalism in enhancement use , and kinship care with substance use . She co-produces knowledge with students and advocates for participatory teaching methods.

Luis Arturo Cavazos Queroمشاهده پروفایل

استادیار

• Human–Computer Interaction
• Accessibility
• Virtual Reality / Augmented Reality
• +۳ مورد دیگر

Luis Arturo Cavazos Quero is an Assistant Professor in the Department of Computer Science and Engineering at Sejong University , South Korea. His research agenda centers on Human–Computer Interaction , accessibility for visually impaired users , and multimodal interaction technologies . Education: Ph.D. in Computer Science, Sungkyunkwan University (2022) M.S. in Computer Science, Sungkyunkwan University (2015) B.S. in Computer Science, Tecnológico de Monterrey (ITESM) (2010) Research Focus: Dr. Cavazos Quero designs and evaluates interactive systems that enable people with visual impairments to access art, education, and mobility. His projects include multimodal interfaces for artwork exploration, voice-based navigation aids, tactile map applications, and Braille text-entry tools for mobile devices. Recent Publications Trend: Since 2021 his output has concentrated on two parallel tracks: (1) assistive technologies that merge tactile, auditory, and olfactory feedback for non-visual art appreciation, and (2) robotics and data security —including quadruped robot control and reversible data-hiding algorithms—showing a broad yet accessibility-driven research portfolio. Scientific Awards: No specific awards are listed in the provided materials. Advising & Grants: Current information on funded projects or doctoral students is not available in the supplied text. Labs & Teams: He completed a postdoctoral fellowship at the Human–Computer Interaction Laboratory, Ewha Womans University (2022–2023) and now leads research activities within his department at Sejong University.

• Machine Learning
• Artificial Intelligence
• Data Analytics
• +۹ مورد دیگر

Dr. Mukesh Prasad is an Associate Professor at the School of Computer Science , University of Technology Sydney (UTS). With expertise in Machine Learning , Artificial Intelligence , and Computer Vision , his research addresses applications in healthcare, biomedical science, and smart infrastructure. He holds a Ph.D. in Computer Science from National Chiao Tung University, Taiwan, and an M.S. in Computer and Systems Sciences from Jawaharlal Nehru University, India. Key research areas: Machine Learning, AI, Brain-Computer Interfaces, IoT, and Evolutionary Computation Industry experience: Principal Engineer at TSMC (2016-2017), Postdoctoral Researcher at National Chiao Tung University Dr. Prasad has secured competitive grants for AI applications in disaster response, conversational agents, and medical diagnostics. His work has been published in high-impact venues like IEEE , ACM Transactions , and Springer Nature , with over 200 peer-reviewed papers. He serves on editorial boards for journals including Frontiers in Neurorobotics and ACM Computing Surveys . Scientific Awards: Vice Chancellor Teaching and Learning Citation Award (2019) Alumni Fellowship for Ph.D. (2014) Golden Bamboo NCTU Fellowship (2010) Professional Members: IEEE (2011), ACM (2019)

• Wireless Communication
• Optical Wireless Communication
• Satellite Communication
• +۴ مورد دیگر

Shigeru Shimamoto is a Professor at Waseda University's School of Fundamental Science and Engineering, Faculty of Science and Engineering. His research spans wireless communication systems, biomedical sensing technologies, and intelligent transportation solutions. Since 2014, he has led the Communication and Computer Engineering department at Waseda University, previously serving as Director of the Global Information and Telecommunication Institute (2020-2024). 2008: Visiting Professor at Stanford University's Electrical Engineering 2000-2002: Research Assistant at University of Electro-Communications Key research areas include: Wireless Communication: OTFS modulation, NOMA, RIS-aided systems, and microwave-based vital sensing Smart Healthcare: Non-contact blood pressure monitoring, SpO2 estimation using microwave reflection Transportation Optimization: On-street parking analysis, traffic flow modeling, and energy-efficient vehicular networks Awarded the 2024 Commendation for Science and Technology from MEXT, his work demonstrates strong interdisciplinary impact combining communication engineering with medical applications. Recent publications focus on machine learning integration in gesture recognition, vehicular detection, and resource allocation for autonomous systems.

• Virtual Reality
• Cognitive Ergonomics
• Human-Computer Interaction
• +۵ مورد دیگر

Paulo Noriega is an Assistant Professor at Universidade de Lisboa's Faculdade de Arquitectura, where he researches human-environment interactions through virtual reality. As Vice-Director of ergoUX Lab, he leads studies in cognitive ergonomics, emotional design, and safety systems. His affiliations include: Research Centre for Architecture, Urbanism and Design (CIAUD) Interactive Technologies Institute UNIDCOM/IADE ADUUX (Association of Development of Usability and UX) His research examines how environmental variables influence behavior across three levels: perceptual responses to stimuli like light/color, decision-making in architectural spaces, and emotional engagement. Current projects include FEELS (VR study of home office ergonomics) and VR applications for building safety design. Noriega's 130+ publications demonstrate consistent focus on VR methodologies applied to evacuation behaviors, automotive interfaces, and cultural heritage. Recent work explores multimodal alarms in emergencies (2025), non-anthropomorphic AI agents (2026), and tangible interfaces in vehicles (2024). Key trends include human factors in safety-critical systems, affective computing, and cross-cultural UX evaluation. He teaches extensively in Design programs, covering cognitive ergonomics, emotional design, and neuroscience applications. As supervisor, he has guided multiple master's and PhD theses in Design and Ergonomics. His funded research includes 9 grants from Fundação para a Ciência e a Tecnologia, focusing on VR's role in safety systems and environmental interaction studies. At ergoUX Lab, Noriega's team develops VR protocols for evaluating architectural spaces, emergency responses, and user experiences. The lab's multidisciplinary approach integrates psychophysics, biosensors, and behavioral analysis to advance human-centered design.

• Cognitive Science
• Social Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Dr. Bipin Indurkhya is a Professor at the Jagiellonian University 's Department of Cognitive Science within the Faculty of Philosophy. With a PhD in Computer Science, he has lectured globally and leads research projects in social robotics, affective computing, and creative interaction design. Master of Science in Electronic Engineering (Philips International Institute, 1981) PhD in Computer Science (University of Massachusetts, 1985) His research focuses on: Social Robotics - child-robot interaction, elderly care, educational applications, and ethical considerations Multimodal Interaction - combining visual, auditory, and haptic modalities for enhanced user experience UX Design - participatory and co-design methodologies for technology development Affective Computing - haptic-based communication systems Creative Cognition - metaphor theory and its applications in technology design Recent publications show strong emphasis on robot ethics , cross-cultural HRI studies , participatory design , and creative technologies . His work spans educational robotics, elderly care systems, and theoretical investigations into metaphorical cognition. Key scientific contributions include navigation architectures for autonomous robots, calm technology frameworks, and prosody modeling systems for artificial communication.

• Computer Vision
• Image Analysis
• Machine Learning
• +۴ مورد دیگر

Dr Shahana Bano is a Lecturer in the School of Computing, Engineering & Technology at Robert Gordon University, specializing in interdisciplinary applications of Artificial Intelligence. Her research spans biomedical imaging, environmental monitoring, infrastructure analytics, and socio-technical systems through the Machine Vision Research Group and Cybersecurity Research Group. Her educational background includes a PhD in Computer Science and Engineering, M.Tech in Computer Science and Engineering, MSc in Information Systems, and BCA - all completed full-time. Her research philosophy centers on convergence, bringing together diverse data types, technologies, and disciplines to create impactful, adaptive systems that bridge academic innovation with societal relevance. Dr Bano's research interests focus on Computer Vision, Image Analysis, Machine Learning, Data Analytics, Internet of Things, Text to Speech Systems, and Social Media Threat Intelligence. Her recent work demonstrates strong application of these interests to medical diagnostics (CAR-T cell classification), environmental monitoring (geothermal reservoir modeling), infrastructure analytics (pipeline defect detection), and social systems (hate detection in football communities). Her publication record shows consistent output with 32 research outputs from 2015-2025, demonstrating increasing focus on medical and environmental applications of AI in recent years. The work spans theoretical computer vision advancements to practical implementations addressing UN Sustainable Development Goals. Associate Fellow (AFHEA) 2023 from Advance HE Dr Bano actively supervises PhD students and mentors interns on diverse projects. Current PhD supervision includes research on morphological classification of CAR-T cell images for leukemia diagnosis and acoustic emission-based pipeline defect detection. She also guides students on projects involving AR-based navigation, NDVI vegetation mapping, hate detection in football communities, multimodal sensor fusion, and airport runway object detection. Her lab resources are supported through university research groups and collaborations focused on machine vision and cybersecurity applications.

• Human-Computer Interaction
• User Experience Design
• Anthropology-Based Computing
• +۷ مورد دیگر

Dr. John N A Brown is a Lecturer in the School of Computing, Engineering & Technology at Robert Gordon University (RGU), where he leads the H.F. G.U.I.L.D. research group (Human Factors of Gameplay, Usability, Interaction, Learning, and Design). With seven university degrees including three PhDs, he is a Senior Fellow of the Higher Education Academy (SFHEA). Before joining RGU, he worked as a consulting researcher for major tech companies including Google, Facebook, LinkedIn, and Amazon. Dr. Brown's research spans Human-Computer Interaction, User Experience Design, Anthropology-Based Computing, and Calm Computing. He has developed new models of human cognition and interaction, using motion capture to study physiological strain of HCI, and both EEG and Anthropological methods to improve interaction with smart environments. His work focuses on how humans and tools co-adapt and co-evolve to shape society, technology, and the world. His recent publications show a strong focus on AI in education, computing pedagogy, and the philosophical aspects of technology education. The research trends indicate growing interest in ethical implications of AI, competency versus understanding in learning, and innovative assessment methods. Senior Fellow of the Higher Education Academy (SFHEA) Author of three books with Springer Contributor to Bloomsbury Encyclopaedia of Design and Salem Encyclopedia of Mathematics and Society Regular presenter at international conferences across four continents Dr. Brown serves as lead supervisor for three PhD students and co-supervisor for one additional student. He has established the S.O.C.R.A.T.E.S. workshop series for early-career researchers and the P.L.A.T.O. seminar series that connects professionals from various fields with RGU. His teaching includes modules on AI, Data and Society; User Centred Design; and Human Computer Interaction, each tracing technology's evolution from pre-historical to modern times. His H.F. G.U.I.L.D. research group focuses on interdisciplinary approaches to understanding and improving human interaction with technology, particularly in gaming, smart environments, and AI systems. The group explores how to make technology more intuitive, less intrusive, and better aligned with human cognitive and physiological processes.

• software engineering
• object-oriented analysis and design
• software testing
• +۲ مورد دیگر

Bryan Malone serves as a Part-Time Lecturer in the Department of Information Engineering Technology within the College of Engineering at Northern New Mexico College. Holding a PhD in software engineering from Colorado Technical University, he brings over 25 years of combined academic and industry expertise spanning graduate-level instruction at institutions including Pennsylvania State University and Regis University. His educational foundation centers on a doctorate in software engineering from Colorado Technical University, establishing his technical credentials for advanced instruction in engineering technologies. Dr. Malone's research concentrates on software engineering methodologies, with specialized focus on object-oriented analysis and design, software testing frameworks, quantitative metrics evaluation, and scalable network architecture. His practical applications extend to secure software development and integrated voice-over-IP systems, reflecting a bridge between theoretical principles and real-world implementation challenges in technology infrastructure. Publication trends reveal sustained engagement from 1999 to 2016, evolving from early innovations in online education tools toward contemporary security applications in open-source software. His work consistently intersects software engineering with cybersecurity and educational technology, demonstrating adaptability across changing technological landscapes while maintaining core methodological rigor. Scientific recognition includes: Faculty Special Recognition at Regis University (2001) Who’s Who Among American College Teaching (2000) Who’s Who Among American College Teaching (2002) Professional contributions encompass 15 years of industry consulting in secure software systems development, network configuration design, and database integration projects. His academic leadership includes serving as course lead for Object-Oriented Analysis & Design (2001-2007) and delivering corporate training on Microsoft certifications (1991-1999), demonstrating dual expertise in both educational pedagogy and commercial technology implementation. While specific laboratory affiliations aren't detailed, Dr. Malone's extensive consulting work in secure software development and network architecture indicates active collaboration with industry technical teams beyond his academic appointments.