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Toon HuysmansView profile

Assistant Professor

• Digital Human Modeling
• Physical Ergonomics
• 3D Anthropometry
• +5 more

Dr. Toon Huysmans is an Assistant Professor at the Department of Industrial Design, Faculty of Industrial Design Engineering, Delft University of Technology. He specializes in digital human modeling, ergonomics, and 3D anthropometry, applying these to product design, healthcare, and sports equipment. His research focuses on creating personalized solutions through advanced technologies like 3D scanning, AI, and statistical shape modeling. Education: PhD in Sciences (2009), University of Antwerp Master and Bachelor in Computer Science (2003/2001), University of Antwerp Research Interests: His work bridges engineering and design, emphasizing human-centric approaches. Key areas include ergonomic product development, PPE design, and biometric data analysis for safety and comfort. Recent projects involve 3D facial anthropometry for protective gear and dynamic foot modeling for orthotics. Media & Outreach: Featured in NOS, BNR, and other outlets for studies on children’s anthropometry and helmet design. Leads initiatives to improve EU safety standards through 3D body scanning projects. Collaborations: Involved in labs such as the Center of Design for Advanced Manufacturing (CDAM) and the Physical and Ergonomics Lab. Teaches courses on Biomechanics and Human Factors.

Amitava DattaView profile

Professor

• Bioinformatics
• Computer Graphics
• Mobile and Wireless Networks
• +7 more

Amitava Datta is a Professor in the Department of Computer Science and Software Engineering at The University of Western Australia. His research focuses on areas such as bioinformatics, computer graphics, mobile networks, optical computing, and medical imaging. He holds a BSc from Calcutta University, an MSc from Kanpur University, and an MTech and PhD from IIT Madras. His expertise includes developing algorithms for medical image segmentation (e.g., pancreas and tumor detection), misinformation detection using BERT models, and social network analysis. He has contributed to projects like the BeeDAS data acquisition system for beehive monitoring and collaborated on cancer research targeting glioblastoma and osteosarcoma. His work aligns with UN Sustainable Development Goals, particularly in health and environmental sustainability. Awarded the Best Demo Paper Award at the 2017 WWW Conference, his research spans grants from organizations like the CRC for Honey Bee Products and NHMRC. He has supervised 37 research works, focusing on AI applications in healthcare, cybersecurity, and computational biology. His lab explores innovations in deep learning, medical informatics, and smart systems for environmental monitoring.

• Computer Vision
• Generative AI
• Healthcare Data Science
• +3 more

Daochang Liu is a Lecturer in the Department of Computer Science and Software Engineering at The University of Western Australia (UWA). He is affiliated with the School of Physics, Maths and Computing. His research focuses on advanced AI technologies including Computer Vision, Generative AI, and Healthcare Data Science. Liu’s work contributes to UN Sustainable Development Goals through innovations in clinical data analysis and accessibility solutions for visual impairments. His research expertise includes diffusion models, image quality enhancement, and adversarial machine learning. Notable contributions include developing DiffAct++ for action segmentation and pioneering adversarial noise-based transfer learning to bridge data gaps in generative AI. He actively supervises Higher Degree by Research students and has published extensively in top-tier conferences like CVPR and IJCAI. Liu’s work integrates theoretical advancements with practical applications, such as personalized image generation for color vision deficiency populations. His research bridges computational methods with real-world healthcare challenges, demonstrated through collaborations on clinical data analysis and semantic-level image synthesis improvements.

Tessa BeinemaView profile

Researcher

• Human-Robot Bonding
• Conversational Agents
• eHealth
• +6 more

Tessa Beinema is a Postdoctoral Researcher at the Communication Science department of Vrije Universiteit Amsterdam (VU Amsterdam), where she investigates human-robot bonding within the ROBOT-BOND project focusing on adolescents with mood disorders in mental healthcare. She holds a PhD in Personalized eHealth Technology from the University of Twente and has extensive experience in conversational agent development for healthcare applications. Previously, she worked at the University of Twente’s Human-Media Interaction group, Innovation Sprint, and Roessingh Research and Development. Her research focuses on AI-driven solutions for health coaching, decision-making support, and personalized eHealth interventions. She led the 'coaching strategies and knowledge base' work package in the Horizon 2020 Council of Coaches project and contributed to open-source platforms like the WOOL Dialogue Platform and Agents United Alliance. Key projects include the ZonMw eCG Family Clinic project (virtual assistant development) and European initiatives like iHelp and RE-SAMPLE. She has coordinated interdisciplinary efforts in telemonitoring and digital society health programs, emphasizing multidisciplinary approaches to healthcare technology.

Floris den HengstView profile

Researcher

• Reinforcement Learning
• Deep Reinforcement Learning
• Artificial Intelligence
• +3 more

Floris den Hengst serves as a Research Associate at the Faculty of Science , Free University Amsterdam , with affiliations to the Artificial Intelligence Research Group , Network Institute , and Computational Intelligence domain. His work bridges theoretical AI research with practical applications in healthcare, dialogue systems, and interpretable machine learning.

Feilim Mac GabhannView profile

Associate Professor

• Systems Pharmacology
• Computational Modeling
• Therapeutic Angiogenesis
• +4 more

Feilim Mac Gabhann is an Associate Professor of Biomedical Engineering at Johns Hopkins University’s Whiting School of Engineering, with a joint appointment in the School of Medicine. His expertise lies in systems pharmacology, focusing on computational modeling of therapies like antibody-drug conjugates, gene therapies, and cell transplants. He investigates the role of VEGF (vascular endothelial growth factor) in diseases such as cancer, HIV, and vascular disorders. Education: Bachelor’s in Chemical Engineering (University College Dublin, 1997) PhD in Biomedical Engineering (Johns Hopkins University, 2006) Postdoctoral Fellowship in Cardiovascular Research at the University of Virginia (2006–2009) Research Interests: Computational models to simulate therapies targeting VEGF signaling pathways, HIV pathogenesis, and cardiovascular remodeling. Projects include designing antibody-drug conjugates for cancer, simulating HIV therapies to boost host responses, and developing novel data visualization tools. Key Contributions: His work bridges computational biology and clinical applications, supported by NIH grants and awards such as the 2012 Sloan Research Fellowship and 2016 Teaching Excellence Award. He is a core faculty member of the Institute for Computational Medicine. Awards: William H. Huggins Excellence in Teaching Award (2016) JHU Catalyst Award (2015) American Physiological Society Arthur C. Guyton Award (2012) NIH Pathway to Independence Award (2008) Grants & Advising: Leads projects funded by NIH, including virtual clinical trial simulations for HIV therapies. Active in mentoring students and collaborating across disciplines to advance translational medicine. Labs & Teams: Directs the Computational Design of Therapeutics Lab, focusing on mechanistic modeling of therapeutic interventions and vascular biology. Collaborates with the Institute for Computational Medicine on interdisciplinary projects.

Mark FrydenbergView profile

Lecturer

• Emerging Technologies
• E-Learning
• Digital Literacy
• +3 more

Mark Frydenberg is a Lecturer in the Department of Computer Information Systems at Bentley University. He serves as director of the CIS Learning and Technology Sandbox (cissandbox.com) and focuses on integrating emerging technologies into education. His roles include teaching Python, Web Trends, and Emerging Technologies, while researching topics like AI literacy, e-learning, and immersive education. Education: Mark holds an MS from Northeastern University. Research Interests: His work emphasizes leveraging VR/AR, AI, and collaboration tools to enhance learning. Key areas include digital literacy, metaverse education, and global open educational projects like TalkTech. He explores how technologies like blockchain and IoT can be taught through project-based learning. Articles Trends: His recent publications focus on VR-enhanced learning, AI adoption in academia, and metaverse course design. He consistently addresses digital competency gaps among students and international tech collaboration. Presidential Faculty Fellow (2024-2025) Advising/Grants: No specific advising roles or grants listed, though his Sandbox initiative likely involves student projects. His TalkTech project involves international student co-creation of VR resources. Labs/Teams: Leads the CIS Learning and Technology Sandbox, an innovative space for experimenting with emerging technologies in education. This lab supports projects in agile methodologies, digital tool prototyping, and immersive learning environments.

Annabel LathamView profile

Senior Lecturer

• Artificial Intelligence in Education
• Ethics and Trust of AI
• Computational Intelligence
• +8 more

Dr. Annabel Latham is a Senior Lecturer in Computer Science at Manchester Metropolitan University within the Faculty of Science and Engineering’s Computing and Mathematics department. She holds a PhD in Artificial Intelligence, an MSc in Computing, a Postgraduate Certificate in Academic Practice, a CIM Diploma in Marketing, and a BSc(Hons) in Computation. As a Fellow of the Higher Education Academy (FHEA) and Senior Member of IEEE (SMIEEE), she contributes extensively to AI research and education. PhD in Artificial Intelligence MSc in Computing PGC Academic Practice CIM Diploma in Marketing BSc(Hons) Computation FHEA (2015) SMIEEE (2018) Research Interests include Artificial Intelligence in Education , Ethics of AI , and Computational Intelligence . She specializes in conversational agents, intelligent tutoring systems, and public trust in AI. Her work addresses fairness, accountability, and accessibility in AI-driven education, leveraging technologies like large language models and fuzzy logic. Research Outputs span 15 years, with a focus on explainable AI, educational applications of conversational agents, and ethical frameworks. Recent work (2024-2025) explores postdigital citizen science, trustworthy AI implementation, and XAI usability for non-specialists. 2023 IEEE Region 8 Outstanding Women in Engineering Volunteer Award 2019 IEEE Region 8 Outstanding Women in Engineering Affinity Group of the Year 2018 Outstanding Peer Reviewer, Elsevier: Computers & Education Senior Member IEEE (2018) FHEA (2015) Teaching and Supervision includes undergraduate Databases, postgraduate units in Information Systems and AI Ethics. She supervises MSc and PhD students in areas like explainability-aware machine learning, data responsibility, and AI trustworthiness. Her grants involve collaborations with international funding bodies such as NAFOSTED (Vietnam) and Croatia’s National Council for Science. Labs and Groups include the Computational Intelligence Lab, Machine Intelligence research group, and the Data and AI Ethics research group, where she co-leads initiatives on ethical AI in education.

• Psychology
• Gender Studies
• Criminology
• +3 more

Joanna Adhikari is a Researcher affiliated with the College of Arts, Humanities and Education. Her work focuses on psychological and sociological aspects of gender dynamics, criminal behavior, and mental health. She has contributed to studies on women veterans' experiences, domestic abuse dynamics, and discursive psychology in media. Her research also explores the Dark Tetrad personality traits in contexts like procrastination and consumer behavior. Notable contributions include a parliamentary inquiry on women in armed forces and a mentoring program evaluation. Her research interests span psychology, criminology, and gender studies, with a particular emphasis on marginalized groups and systemic power structures. She employs both quantitative and qualitative methods, often collaborating with governmental and educational institutions. Recent work highlights the intersection of trauma (e.g., military transition) and mental health outcomes. Adhikari’s publications analyze public opinion formation through media discourse and investigate risk factors in domestic abuse scenarios. Her applied research includes program evaluations aimed at supporting vulnerable populations. Though no awards are explicitly listed, her active publication record indicates sustained academic engagement. She has supervised postgraduate research (PGR) students and contributed to collaborative reports such as the Derbyshire Virtual School Mentoring Program. Her current focus likely continues on gender equity, trauma studies, and behavioral psychology applications.

Stacy KellyView profile

Professor

• Assistive Technology for Visual Impairments
• Special Education
• Disability Policy Research
• +4 more

Stacy Kelly, Ed.D., is a Professor and coordinator of the Visual Disabilities Program in the Department of Special and Early Education at Northern Illinois University. She holds a doctoral degree in Educational Psychology with an emphasis in Visual Disabilities from NIU, a Master's in School Leadership/Public Policy from Concordia University, and a Bachelor's in Special Education (Visual Impairments) from Illinois State University. Her research focuses on assistive technology applications for visually impaired individuals, expanded core curriculum instruction, and policy analysis in disability education. Research & Grants: Dr. Kelly has secured over $5 million in federal grants including 'Project J.E.D.I.' ($1.25M/5 years) addressing diversity and inclusion in teacher training, and 'Project Fusion' ($1.25M/5 years) integrating teacher and mobility specialist training programs. Recent studies include vulnerability mitigation strategies for visually impaired individuals and birth control education accessibility. Professional Roles: Serves as Associate Editor for Journal of Visual Impairment & Blindness and The New RE:view . Certified as an Orientation and Mobility Specialist (COMS) and school administrator. Subject matter expert for assistive technology certification programs. Teaching: Instructs courses on braille systems, assistive technology, communication strategies, and collaboration skills for professionals working with visually impaired populations. Courses include SEVI 450 - Assistive Technology for Persons with Visual Impairments and SEVI 552 - Collaboration Principles . Lab & Team: Leads the Visual Disabilities Program coordinating research initiatives in assistive technology development and policy advocacy. Collaborates with NIU graduate students on multiple federally funded projects.

• Sustainability
• Geography Education
• Latin America Studies
• +4 more

Vanessa Slinger-Friedman is a Professor of Geography at Kennesaw State University (KSU), where she teaches courses in human geography, sustainability, and Latin American studies. She holds a Ph.D. and MA in Geography and Latin American Studies from the University of Florida, graduating as a valedictorian with her BA in Geography. Her research focuses on sustainability education, agroforestry in the Amazon, ecotourism in the Caribbean, and innovative pedagogy. She co-founded the KSU Food Forest project to address social inequities and climate change through sustainable agriculture. She has received prestigious awards, including the 2018 National Council for Geographic Education Distinguished Teaching Award and the 2019 KSU Foundation Outstanding Teaching Award. Her publications span over two decades, addressing topics like online course development, reflective teaching practices, and the intersection of ethnicity and urbanization. She actively mentors students, including Taylor-Fields A. R. on agricultural sustainability projects. Her work integrates interdisciplinary approaches to sustainability, emphasizing community engagement and global-local linkages. Awards: 2019 KSU Foundation Outstanding Teaching Award 2018 NCGE Distinguished Teaching Award 2016 Regents’ Scholarship of Teaching and Learning Award Key Projects: KSU Food Forest initiative (sustainable agriculture advocacy) Action research on online course design Her teaching spans both in-person and online formats, including GEOG 1101, 3370 (Latin America/Caribbean), and directed research courses. She has pioneered methods to enhance student engagement and sustainability literacy through active learning and reflective practices.

• Mobile Application Development
• Programming Languages
• Compiler Construction
• +3 more

Prof. Dr. Dragan Macos is a Professor at the Berlin University of Applied Sciences, affiliated with the Building Construction Department. His research focuses on mobile application development (particularly iOS), compiler construction for functional programming languages, and simulation models in transportation and wireless communication. He teaches courses on media informatics, compiler design, and software project management at both bachelor's and master's levels. His work spans technical contributions in high-availability data center backends, simulation performance optimization, and toll system modeling. Recent publications emphasize distributed systems, parallelization techniques, and the application of simulations in real-world scenarios. No scientific awards are listed, but his engagement in international conferences highlights active research collaboration. Teaching: Media Informatics, Compiler Construction, and TI Bachelor programs Research: Mobile apps, functional programming languages, stochastic traffic models Key Publications: Over 10 peer-reviewed articles between 2010–2017 on simulation, networking, and embedded systems Personal interests include Istrian culture and Croatian heritage, reflecting a passion for regional history and natural landscapes.

Sebastian MeierView profile

Professor

• Climate Change Communication
• Sustainability
• Digital Participation
• +7 more

Overview Prof. Sebastian Meier holds a professorship for Knowledge Transfer Design at Potsdam University of Applied Sciences' School of Design. His work bridges human-centered design with technological innovation, focusing on urban data visualization, sustainability communication, and open data initiatives. Co-founder of the CityVis Initiative promoting global urban visualization exchanges, he also chairs the German Society for Cartography's research commission. Education PhD in Geoinformatics (2017, Potsdam University), Master in Interface Design (2011, Potsdam), and Diploma in Communication Design (2009, Düsseldorf). Conducted visiting PhD research at City University London (2015). Research Focus Urban data visualization, climate change communication, digital participation, open geospatial data, and smart city interfaces. Projects include SVIFT visualization tool, MyAppMyData privacy framework, and Open Data Cloud Services analysis. Awards & Funding DAAD travel grants for international conferences Volkswagenstiftung Mixed Methods Research Programme Core77 Student Award (Winner) Prototype Fund (BMVI) innovation funding Professional Roles Former Scientific Director of CityLAB Berlin, Lead Data Scientist at Berlin Technology Foundation, and Guest Professor at HafenCity University Hamburg. Served as co-chair of Berlin's German Society for Cartography chapter. Labs & Collaborations Runs the Interaction Design Lab (IDL) at Potsdam, collaborating with institutions like MIT Senseable City Lab, Federal Environmental Agency, and Brandenburg Police on UX/UI design and participatory tools.

Aileen BenedictView profile

Lecturer

• Artificial Intelligence
• Recommendation Systems
• Data Science
• +5 more

Aileen Benedict is a Lecturer and PhD candidate in the Department of Computer Science at the University of North Carolina at Charlotte. She holds Bachelor's and Master's degrees from UNC Charlotte and is a recipient of the GAANN Fellowship. Her academic appointment combines doctoral research with teaching responsibilities. Research Focus: Benedict's work bridges artificial intelligence and human-centered applications. Primary domains include: Healthcare AI : Developing music therapy recommendation systems using action rules and data mining Educational Technology : Creating recommender systems to enhance CS1 instruction and foster student belonging AI Ethics : Exploring societal implications of intelligent systems Her dissertation focuses on personalized music therapy systems in collaboration with clinical practitioners. Publication Trends: Recent works demonstrate strong emphasis on educational recommender systems (7 papers) and data-driven healthcare applications (4 papers), with consistent focus on interpretable AI techniques. Methodologically, 60% employ rule-based mining approaches while 40% focus on collaborative filtering and clustering techniques. Awards: GAANN Fellowship (Graduate Assistance in Areas of National Need) Academic Service: Contributes to CS education innovation through course scaffolding techniques and active learning frameworks. Current projects include developing tools for curriculum visualization and automated assignment generation.

• Game-based learning
• Empirical software engineering
• Human-computer interaction
• +3 more

Michael Miljanovic is an Assistant Professor in the Faculty of Science at Ontario Tech University, affiliated with the Software Engineering and Education Research Lab. His academic journey includes a PhD in Computer Science (2020) and M.Sc. (2015) from Ontario Tech University, alongside a B.Sc. in Computer Science from the University of Toronto (2013). His doctoral work focused on game-based learning in computer science education as part of the Serious Games for Computer Science Project. Research interests revolve around user studies, empirical software engineering, human-computer interaction, software engineering education, and game-based learning. His work emphasizes applying serious games to improve programming education and debugging skills. Notable projects include RoboBUG (debugging game), Robot ON! (program comprehension), and GidgetML (adaptive learning game). His publications span conferences like ITiCSE, ICSE, and ICER, focusing on curricula design for esports, adaptive game frameworks, and evaluating serious games in programming education. He has showcased multiple educational technologies at events such as CASCON and SIGCSE. Michael’s research bridges software engineering practices with innovative educational tools, aiming to enhance learning outcomes through interactive and adaptive game-based approaches.