Find Academic Supervisors

Jennifer Gahee KimView profile

Assistant Professor

• Human-Computer Interaction (HCI)
• Computer-Supported Cooperative Work (CSCW)
• Digital Health
• +3 more

Jennifer Gahee Kim is an Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology. She holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign and an M.S. from Georgia Tech. Her research focuses on Human-Computer Interaction (HCI), Digital Health, and Neurodiversity, aiming to design technologies that promote inclusivity, empathy, and advocacy, particularly for neurodiverse populations. Key projects include Workplace Playbook VR for autism support, BEDA (Behavioral and External Data Analysis tool), and co-design initiatives for neurodivergent individuals. Education: Ph.D. in Computer Science (UIUC), M.S. in Computer Science (Georgia Tech) Research Themes: Neurodiversity advocacy, healthcare technologies, and collaborative systems design Teaching: Courses in Personal Health Informatics and Human-Computer Interaction Her work emphasizes co-design methodologies and ethical technology integration, with notable contributions to VR-based training systems and sensor data analytics tools. Collaborations include projects with behavioral scientists and healthcare practitioners to bridge gaps between technology and real-world needs.

Jessica V. RichView profile

Adjunct Assistant Professor

• Postsecondary Education
• Competency-Based Education
• Assessment and Evaluation
• +4 more

Dr. Jessica V. Rich is an Adjunct Assistant Professor at Queen’s University’s Faculty of Education and a member of the Assessment and Evaluation Group (AEG). She holds a PhD in Measurement, Assessment, Policy, Leadership and Evaluation, complemented by extensive teaching qualifications in Biology, Chemistry, and Education. Her work focuses on competency-based education (CBE), programmatic assessment frameworks, and inclusive evaluation practices across postsecondary and professional education contexts. She actively contributes to the Scholarship of Teaching and Learning (SoTL) through research on feedback mechanisms and performance improvement strategies. Dr. Rich teaches courses such as PME 896 (Capstone), PME 894 (Educational Fieldwork), and GDE 828 (Program Evaluation), emphasizing practical application of assessment methodologies. She has pioneered educational development initiatives in simulated learning environments and workplace-based assessments. Her research examines the intersection between competency frameworks and real-world application, with particular attention to healthcare and engineering education reform. Current projects include evaluating transformative change models in medical education and exploring growth-oriented assessment strategies. She has collaborated with institutions to design competency frameworks for healthcare professions and contributed to knowledge translation tools for programmatic assessment implementation. Her publications span journals like Academic Medicine , Canadian Journal of Educational Administration , and Frontiers in Medicine , reflecting interdisciplinary engagement with assessment challenges in higher education. She maintains active Twitter and LinkedIn profiles to share insights on educational development and assessment innovation.

• Medical Education
• Palliative Care
• End-of-Life Care
• +3 more

Matthew Ellman is Professor of Medicine and Director of the Yale Internal Medicine Associates at the Yale School of Medicine, where he also serves as Vice Chief for Clinical Affairs for the Section of General Internal Medicine. His work spans clinical practice, medical education, and research focused on improving end-of-life care. Dr. Ellman received his BA in Anthropology from Cornell University (1981), his MD from Harvard Medical School (1987), completed his residency at New York University-Bellevue Hospital (1990), and a fellowship in the Robert Wood Johnson Clinical Scholars Program at Yale (1993). As a core member of the Clinical Skills Faculty at Yale, he has developed a longitudinal, integrated curriculum to teach palliative and end-of-life care skills to medical students. His scholarly work focuses on ensuring medical students graduate with competency to provide compassionate care for patients with life-limiting and terminal illness. His research examines communication skills training, palliative care competencies, and simulation-based medical education. Dr. Ellman's publications consistently address innovative methods for teaching and evaluating end-of-life care skills, reflecting his commitment to improving how physicians communicate difficult news and manage palliative situations. Dr. Ellman has received numerous honors including the David J. Leffell Prize for Clinical Excellence (2017) and has been recognized as a Connecticut Magazine Top Doc for multiple years (2015-2017). He also received the Leonard Tow Humanism in Medicine Award in 2013, recognizing his compassionate approach to patient care. As Director of Medical Student Palliative and End-of-Life Care Education, Dr. Ellman has shaped curriculum development in this critical area. His leadership extends to the Yale Internal Medicine Associates, where he oversees clinical operations while maintaining an active primary care practice. His work on firearm safety education demonstrates his broader commitment to preventive medicine and public health issues. Through his role in the Program for Biomedical Ethics and Yale Center for Asylum Medicine, Dr. Ellman contributes to ethical discussions in medical practice and cares for vulnerable populations. His collaborative research with colleagues like Laura Morrison, Benjamin Doolittle, and Daniel Tobin demonstrates his commitment to interdisciplinary approaches in medical education and patient care.

• Power System Analysis, Operation and Planning
• Power System Economics
• Electricity Markets
• +16 more

Ivana Kockar is a Reader in the Department of Electronic and Electrical Engineering at the University of Strathclyde, within the Faculty of Engineering. She is affiliated with the Institute for Energy and Environment and leads research on the integration of Distributed Energy Resources (DERs) into power systems, focusing on optimization, market design, and policy analysis. PhD, McGill University, 2004 Her research interests include active network management, TSO-DSO coordination, agent-based modeling, Multi-Criteria Decision Analysis (MCDA), and virtual power plants. She develops tools to support the transition to low-carbon power systems and improve grid flexibility through demand participation and energy storage. The recent publications highlight a strong trend in analyzing DSO risk, flexibility markets, and human behavior in energy planning. Her work increasingly integrates socio-technical dimensions, examining how corporate and individual behaviors impact grid operations. There is also a consistent focus on business models for virtual power plants and the economic impacts of forecasting accuracy, indicating a blend of technical and market-oriented research. Outstanding Engineer Award, 2024 Best Innovation Project, December 2015 Special Issue inclusion, International Journal of Electrical Power and Energy Systems, 2008 She has supervised multiple PhD and MSc students and is Principal Investigator on several major research projects, including EPSRC-funded doctoral training and industrial knowledge exchange initiatives. Her work is supported by grants from EPSRC, Ofgem, and energy companies such as SSEN and Scottish Power. She actively collaborates with Management Science colleagues and contributes to policy development. She leads a research team at the Institute for Energy and Environment, working closely with industry partners and international research consortia such as the EU Horizon 2020 SmartNet project. Her team applies advanced computational methods, including high-performance computing and agent-based simulations, to real-world energy challenges.

• STEM Education
• Project-Based Learning
• Computational Thinking
• +7 more

Samuel Severance is an Assistant Professor in the Center for Science Teaching & Learning (CSTL) at Northern Arizona University (NAU), where he contributes to STEM education research and teacher development. His work is centered on improving science and computational thinking instruction through project-based learning and research-practice partnerships. His research interests include: Project-Based Learning (PBL) Computational Thinking (CT) in K-12 education Equity and inclusion in STEM Teacher learning and professional development Curriculum design aligned with NGSS Multilingual and culturally diverse learners His recent publications reflect a strong focus on integrating making, computing, and cultural relevance into science education. He emphasizes design principles for equitable access and has contributed to major educational frameworks and encyclopedias. His work is frequently published in leading venues such as Studies in Science Education and the International Conference of the Learning Sciences . Notable scientific contributions include: Advancing PBL and NGSS alignment Designing CT instruction for multilingual learners Strengthening research-practice partnerships in teacher education Centering cultural assets in STEM for immigrant communities While no formal list of awards is provided, his high-impact publications and collaborations suggest recognition in the learning sciences community. He is actively involved in mentoring and likely advises graduate students, though specific names are not listed. His research is supported through collaborative grants and partnerships focused on improving STEM teaching and learning in diverse contexts. Samuel Severance is affiliated with research networks focused on learning sciences and computational thinking, collaborating with leading scholars such as Joseph Krajcik and Emily Miller. His work is part of a broader effort to transform science education through innovation, equity, and practical application.

• Virtual Reality
• Human-Computer Interaction
• Haptics
• +7 more

Lung-Pan Cheng is an Associate Professor in the Department of Computer Science and Information Engineering at National Taiwan University. His research focuses on creating innovative interfaces that bridge physical and virtual realities, with particular emphasis on virtual reality systems, haptic feedback mechanisms, and perceptual illusions. Dr. Cheng's work explores how to create more immersive and believable virtual experiences through: Novel haptic feedback systems that simulate physical interactions in virtual environments Real walking techniques that overcome physical space limitations in VR Perceptual illusions that enhance the sense of presence in virtual worlds Human actuation approaches that leverage people as part of the VR infrastructure Optical illusions applied to digital media and gaming experiences Advanced fabrication techniques for interactive physical objects His recent publications (2022-2024) demonstrate a continued trajectory of innovation in VR interaction techniques, with work focusing on directional force feedback, infinite vertical navigation, and the integration of optical illusions into virtual experiences. Dr. Cheng's research consistently combines hardware innovation with perceptual psychology to create compelling user experiences that push the boundaries of virtual environments. Dr. Cheng has received notable recognition for his work: Best Paper Award at CHI 2022 for 'AirRacket: Perceptual Design of Ungrounded, Directional Force Feedback to Improve Virtual Racket Sports Experiences' SIC People's Choice Award at UIST 2022 for 'Garnish into Thin Air' His research has been featured in media outlets including MIT News and New Scientist, indicating broader impact beyond academic circles. Dr. Cheng maintains active collaborations with researchers worldwide, as evidenced by his international co-authorship patterns across multiple disciplines including computer science, psychology, and engineering.

• Ergonomics
• Human-Machine Systems
• Industrial Engineering
• +4 more

Alexander Mertens serves as Associate Professor and Department Head of the Institute of Industrial Engineering within RWTH Aachen University's Faculty of Mechanical Engineering, concurrently leading the Ergonomics and Human-Machine Systems group. His dual doctorates (Dr.-Ing. and Dr. rer. medic.) underpin his interdisciplinary approach bridging engineering and medical sciences. His research centers on human-centered technology integration , with core interests in Ergonomics , Human-Machine Systems , and Virtual Reality applications . He investigates physiological workload monitoring, human-robot collaboration, and inclusive workplace design—particularly through AR/VR systems and sensor-based interventions for manufacturing and healthcare contexts. His work emphasizes translating biomechanical and psychosocial insights into practical solutions for worker safety and performance. Analysis of his 2024-2025 publications reveals three dominant trends: human-robot collaboration in manufacturing (evident in VR-based robot assistance studies), physiological workload assessment (using pupillometry and multimodal signals), and workplace health innovation (addressing interruptions, musculoskeletal disorders, and aging populations). These threads consistently prioritize human factors in digital transformation across automotive, healthcare, and industrial domains. Prof. Mertens directs the Ergonomics and Human-Machine Systems laboratory, driving initiatives like AixistenzRobotik (Aachen Competence Center for Interactive Robotics in Health/Care) and workHEALTH (holistic prevention of work-related musculoskeletal disorders). His team develops adaptive interfaces for inclusive factories and evaluates digital escape signage through age-differentiated studies, maintaining strong industry partnerships for real-world implementation.

• Autonomous Industrial Vehicles
• Multi-Agent Systems
• Fuzzy Logic
• +7 more

Jean-Marie Bonnin is a Researcher at IMT Atlantique , affiliated with the Network Systems, Cyber Security and Digital Law department. His work spans autonomous industrial vehicles, vehicular networks, and cooperative systems, with a focus on energy management, task allocation, and safety protocols. IMT Atlantique, Rennes Campus Research in Industry 4.0 and Smart Mobility Research Interests : Autonomous Industrial Vehicle Fleets Fuzzy Logic for Multi-Agent Systems V2X Communication Protocols Scientific Contributions include: Modeling energy consumption in extreme-edge IoT nodes Decentralized task allocation for autonomous vehicles Collision avoidance in industrial environments

Kangsoo KimView profile

Assistant Professor

• Human-Computer Interaction
• eXtended Reality (XR)
• Virtual Reality (VR)
• +13 more

Kangsoo Kim is an Assistant Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary, where he leads the Human-X Interaction (HXI) Lab. He holds a Ph.D. in Computer Science from the University of Central Florida and previously served as a postdoctoral researcher at the University of Delaware and the Synthetic Reality Lab at UCF, with an additional appointment in the College of Nursing. Education: Ph.D. in Computer Science, University of Central Florida, 2018 M.S. in Electronics and Computer Engineering, Hanyang University, 2011 B.S. in Electronics and Computer Engineering (Cum Laude), Hanyang University, 2009 Dr. Kim's research focuses on Human-Computer Interaction, particularly in immersive eXtended Reality (XR), including Virtual, Augmented, and Mixed Reality. His work explores virtual avatars, social interaction in XR, perception and cognition, and the integration of XR with IoT and digital twins. He investigates how embodied virtual humans influence social presence, trust, and user behavior in educational, healthcare, and industrial settings. His recent publications span top-tier venues such as IEEE TVCG, ISMAR, and IEEE VR, with themes centered on virtual agents, empathy in XR, avatar embodiment, and industrial applications of XR and digital twins. Trends include the use of AI-powered avatars, physiological feedback integration, and XR for public education and infrastructure safety. Scientific Awards: AKCSE Early Achievement Award (2023) Innovation Award at TechConnect World (2021) ACM SUI Best Paper Award (2019) ICAT-EGVE Best Demo Audience Choice Award (2020) ACM VRST Best Student Paper Award (2017) Dr. Kim actively mentors students and has advised numerous graduate researchers in areas including virtual pets, avatar behavior, XR for health, and industrial applications. He has secured research funding through competitive fellowships and grants, including UCF Graduate Fellowships and IEEE VR Doctoral Consortium support. He has also contributed to patents in AR magnification and serves as an Associate Editor for Presence: Virtual and Augmented Reality. He leads the HXI Lab, which conducts interdisciplinary research bridging computer science, psychology, and engineering to advance XR technologies for real-world impact in education, healthcare, and industry.

• Preterm Birth
• Perinatal Palliative Care
• Maternal Morbidity and Mortality
• +4 more

Krista Maree Mehlhaff is an Assistant Professor in the Department of Obstetrics, Gynecology, and Reproductive Sciences at the University of Maryland School of Medicine. She serves as Medical Director of the Obstetric Care Unit at the University of Maryland Medical Center and Director of Patient Safety, Risk Mitigation and Care Enhancement for her department. Her career includes 14 years in the United States Air Force as a maternal-fetal medicine specialist and obstetrician/gynecologist, culminating in leadership roles at Walter Reed National Military Medical Center. Dr. Mehlhaff's research and clinical interests focus on preterm birth , perinatal palliative care , maternal morbidity/mortality , simulation training , teamwork in obstetrics , and quality improvement . Analyses of her publications reveal recurring themes in perinatal neurology, fetal viability, and military healthcare applications. Master Clinician, Walter Reed National Military Medical Center (2023) Associate Master Clinician (2021) Resident/Fellow and Nurse Collaboration Award (2018) Administrative Chief Resident Award (2013) Dennis D. Barber Academic Achievement Award (2013) Ultrasound Award (2011) Humanism and Excellence in Teaching Award (2011) She has led initiatives in universal obstetric bundles implementation, maternal safety working groups, and quality improvement projects across military healthcare systems. Her scholarly work spans perinatal neurology, rare pregnancy complications, and team-based clinical practices.

• Medical Education
• Anatomical Sciences
• Digital Health
• +4 more

Andrew O'Malley is a Senior Lecturer in the School of Medicine at the University of St Andrews, where he serves as Deputy Programme Director of the Scottish Graduate Entry Medical Programme (ScotGEM) and Deputy Director of Teaching. His work focuses on the intersection of medical education and technology, particularly in the areas of anatomical sciences, digital health, and artificial intelligence. Dr. O'Malley holds a Doctor of Philosophy in Anatomy & Human Identification and a Bachelor of Science in Forensic Anthropology, both from the University of Dundee. His educational background as an anatomist and forensic anthropologist informs his teaching across various subjects in the School of Medicine, including ScotGEM Case Based Learning, medical ethics, and generative artificial intelligence. His research interests center on the use of technology in health professions education, with specific focus on Technology-Enhanced Learning (TEL), telehealth, and generative artificial intelligence. Dr. O'Malley's work contributes to UN Sustainable Development Goals related to quality education and good health. Dr. O'Malley's publications demonstrate a strong trend toward exploring AI applications in medical education, with particular emphasis on diagnostic accuracy, question generation, bias mitigation, and simulation technologies. His recent work shows increasing sophistication in prompt engineering for medical AI applications and attention to equity issues in AI-generated medical content. #TopDownloadedArticle Prize (2024) Best Poster (2023) CELPiE Research Fund Award (2024) Dr. O'Malley actively supervises postgraduate research students and has been involved in multiple research projects including ComSIM: Community Orientated Simulation, and research on AI diagnostic accuracy. He has presented his work at international conferences including the 1st International Conference on Artificial Intelligence in Medical Education in Kuala Lumpur and contributed written evidence to the House of Lords UK Engagement with Space Committee. Dr. O'Malley is affiliated with the St Andrews SETI Post-Detection Hub, reflecting his interest in broader applications of technology and scientific methodology beyond traditional medical education.

• Cyber Security
• Federated Learning
• Network Security
• +5 more

Jonathan White serves as a Senior Lecturer in Cyber Security within the College of Arts, Technology and Environment at the University of the West of England (UWE). With over 23 years of prior industry experience in telecommunications critical infrastructure systems, he joined UWE in January 2020 after transitioning from roles as software developer, product specialist, and management leader in real-time embedded systems. His educational background includes an M.Sc. in Cyber Security (with Distinction) and B.Sc. in Computing for Real-time Systems, both from UWE, where he is currently pursuing a PhD focused on Federated Learning security tradeoffs. White's research centers on Federated Learning applications for IoT security, container security analysis, and machine learning-driven threat detection in home networks. Analysis of his publication record reveals a strong focus on practical security implementations, particularly in containerized environments (Docker security analysis, cyber ranges) and Federated Learning security frameworks. His work consistently bridges theoretical machine learning concepts with tangible security applications for IoT and edge devices, emphasizing privacy-performance tradeoffs in distributed systems. Scientific Recognition: Fellow of the Higher Education Academy (FHEA) White actively contributes to cyber security education through innovative teaching methods including the 'Cyber Funfair' immersive learning platform and Scalextric-based physical system hacking demonstrations. His industry background in telecommunications critical infrastructure informs his practical approach to security education and research, particularly regarding real-time system vulnerabilities and high-availability network security requirements. His technical expertise spans C and Python programming, network security protocols, and specialized knowledge in securing containerized environments and IoT ecosystems. Current research includes longitudinal analysis of container image vulnerabilities and development of modular cyber range infrastructure for security training.

Paul B. IngramView profile

Associate Professor

• Psychological Assessment
• Personality Assessment
• Military/Veteran Mental Health
• +5 more

Paul B. Ingram is an Associate Professor in the Department of Psychological Sciences at Texas Tech University, specializing in the Counseling Program. His work focuses on psychological assessment with particular emphasis on military and veteran populations. Education: B.A. from University of North Carolina at Asheville M.A. (Clinical) from Western Carolina University Ph.D. (Counseling) from University of Kansas Internship at Eastern Kansas Veteran Affairs Dr. Ingram's research centers on two main areas: diagnostic efficiency and treatment utilization. His work in diagnostic efficiency focuses on improving the assessment of trauma/PTSD, symptom misrepresentation, and depression in military populations using instruments like the MMPI-2-RF/MMPI-3 and PAI. His research on treatment utilization examines factors influencing mental health attitudes and predicting treatment outcomes, particularly related to trauma and depression. His recent publications show a consistent focus on psychological assessment validity, particularly with military and veteran populations. The research demonstrates expertise in MMPI instruments, over-reporting scales, and validity testing across different clinical settings within the Veterans Affairs system. Dr. Ingram leads a research lab that takes an empirical approach to psychological assessment, with a focus on developing methods for detecting invalid responding, improving criterion prediction, and conducting longitudinal studies on recovery processes. The lab particularly emphasizes work with military/veteran populations, neuropsychology, and trauma-exposed families. He currently has an active research team including graduate students N.M. Morris, B.L. Golden, and S. Moses who are co-authors on his recent publications. Dr. Ingram has stated he will not be accepting new graduate students for the 2024-2025 academic year but continues to mentor existing students in his lab.

Thomas WöhlingView profile

Researcher

• Integrated environmental systems modeling
• Surface water-groundwater interactions
• Braided river systems
• +9 more

PD Dr. habil. Thomas Wöhling serves as a Senior Research Scientist and Team Leader for Stochastic Modelling of Hydrosystems at the Chair of Hydrology, Dresden University of Technology's Faculty of Environmental Sciences. His research spans integrated environmental systems modeling with particular expertise in surface water-groundwater interactions, braided river systems, and vadose zone processes. Previously, he held research positions at Water and Earth System Sciences Competence Cluster in Tübingen (2010-2015) and Lincoln Environmental Research in New Zealand (2006-2010). Dr. Wöhling completed his Dipl.-Hydrol. (1999) and PhD in Hydrology (2005) at Dresden University of Technology, followed by habilitation in Stochastic Hydrology (2021). His educational background includes extensive research at the Institute of Hydrology and Meteorology at TU Dresden (1999-2005) where he developed foundational expertise in hydrological modeling. Wöhling's research focuses on integrated modeling of coupled environmental systems , particularly flow and contaminant transport in surface water-groundwater systems, nutrient and energy fluxes in soil-plant-atmosphere systems, and distributed hydrological modeling. His work emphasizes stochastic modeling and uncertainty analysis , with significant contributions to inverse modeling, model calibration, multiobjective optimization, and Bayesian model averaging techniques. He has pioneered methods for evaluating monitoring network worth and data utility for environmental models. His publication record demonstrates consistent contributions to hydrological science, with recent work (2023-2025) focusing on machine learning applications in hydrology, advanced statistical inversion techniques, and complex karst system modeling. Key trends include integration of physics-based and data-driven approaches, improved uncertainty quantification methods, and applications to climate change impacts on water resources. His work bridges theoretical advances with practical applications in New Zealand's braided rivers and European hydrological systems. STAHY Best Paper Award (2018) ASCE Journal of Irrigation and Drainage Engineering Best Reviewer Awards (2008, 2010, 2011, 2015, 2018) ASCE Journal of Irrigation and Drainage Engineering Best Paper Awards (2008, 2009) Dr. Wöhling leads the Stochastic Modelling of Hydrosystems team and has secured funding for numerous projects including Klimakonform, ISOSIM, VAMOS II, and the International Research Training Group 'Integrated Hydrosystem Modelling.' His work combines novel monitoring techniques with modeling and optimal sensor placement to improve prediction reliability for river-groundwater exchange fluxes. He collaborates extensively with international partners, particularly in New Zealand through the Lincoln Agritech's Braided Rivers program. His laboratory work focuses on combining traditional hydrological measurements with advanced computational techniques, including deep learning applications for soil surface hydrology and time-windowed Bayesian analysis for predictive modeling. The team maintains strong connections with field sites in Germany's Saxon region and New Zealand's Canterbury Plains, facilitating integrated theoretical and empirical research approaches.

Glenn DaehnView profile

Professor

• Advanced manufacturing
• Materials processing
• Plastic deformation
• +7 more

Glenn Daehn is the Mars G. Fontana Professor of Metallurgical Engineering at The Ohio State University , where he has served as faculty since 1988. His work bridges materials science , advanced manufacturing , and STEM education , with leadership roles in initiatives like the Ohio Manufacturing Institute and NSF's HAMMER Center. Ph.D. & M.S., Materials Science & Engineering, Stanford University B.S., Materials Science & Engineering (departmental honors), Northwestern University Professor Daehn specializes in impulse-based manufacturing , focusing on plastic deformation , impact welding , and solid-state joining of dissimilar materials. His research drives innovations in lightweight materials, aerospace manufacturing, and biomedical device fabrication. His publications reveal a strong emphasis on dynamic material processing , robotic manufacturing , and sustainable materials systems . Recent work explores orbital cold welding and AI-enhanced surgical plate bending systems. ASM Marcus A. Grossman Young Author Award (1990) Army Research Office Young Investigator Award (1992) 2022 ASM Gold Medal Award Ranked top 2% of scientists worldwide (2021) Daehn has received multiple Lumley Research Awards and led groundbreaking projects including Metamorphic Manufacturing and Hybrid Autonomous Manufacturing . He maintains active collaborations with industry through initiatives like the Center for Design and Manufacturing Excellence .