Find Academic Supervisors

• Dental biomechanics
• Instrumentation design
• Systems engineering
• +6 more

Dr. Jie Chen is a Professor and Chair of the Department of Mechanical Engineering at Purdue University (Indianapolis campus, with a courtesy appointment in West Lafayette). He holds dual roles in Mechanical Engineering and Orthodontics. His research focuses on dental biomechanics, energy systems, and instrumentation design, with significant contributions to orthodontic load systems and biomedical engineering. Education: B.S. in Mechanical Engineering, Tianjin University (1982) M.S. in Biomedical Engineering, Shanghai Second Medical University (1985) Ph.D. in Mechanical Engineering and Mechanics, Drexel University (1989) Research Interests: Energy efficiency in HVAC systems and electrical demand forecasting Quantification of orthodontic force systems using finite element analysis Biomechanical validation of orthodontic appliances CT-based quantification of dental displacement and root resorption Optical and haptic interfaces for medical and automotive systems His publications span energy optimization, orthodontic biomechanics, and human-machine interaction. Notable works include real-time energy management platforms and finite element modeling for orthodontic simulations. Recent research explores AI-driven visual analytics and autonomous vehicle systems. Grants & Labs: Active in interdisciplinary collaborations at Purdue, with lab work focused on biomechanical testing and smart energy systems. Supervises projects in orthodontic engineering and advanced manufacturing.

Emily K Miller-CushonView profile

Associate Professor

• Animal Behavior
• Animal Welfare
• Livestock Management
• +3 more

Dr. Emily K. Miller-Cushon is an Associate Professor in the Animal Sciences Department at the University of Florida. Her research focuses on applied animal behavior and welfare with an emphasis on farm animal management, particularly dairy calves. She leads a lab investigating how early environmental factors influence behavioral development and welfare outcomes in livestock. Key areas include social housing impacts, cognitive assessments, and innovative technologies for behavior monitoring. Her work combines behavioral observation with computer vision tools like AnimalMotionViz and ShinyAnimalCV, enabling precise tracking of animal movements and social interactions. Recent studies address topics such as long-term effects of early socialization, space allowance in group housing, and producer perceptions of welfare practices. Research Themes: Dairy calf welfare, behavioral development, computer vision applications, social network analysis Key Applications: Refining calf management protocols, improving housing systems, enhancing welfare assessment methodologies Dr. Miller-Cushon's publications from 2023–2025 reveal a strong focus on translating behavioral science into practical animal husbandry solutions. She frequently collaborates with industry stakeholders to bridge research and real-world agricultural practices.

Roger D. EastmanView profile

Professor

• Computer Vision
• Robotics
• Immersive Media Design
• +3 more

Roger D. Eastman is a Professor of the Practice in the Department of Computer Science at the University of Maryland, College Park, and serves as Director of the Immersive Media Design Program. He holds a Ph.D. (1990) and B.A. (1979) in Mathematics and Computer Science from the University of Maryland and University of Missouri-Columbia, respectively. His research focuses on computer vision applications in robotics, remote sensing, and immersive media. Notable projects include work with NASA-Goddard on satellite imagery registration, NIST on robotics perception standards, and JHU on medical imaging for glaucoma diagnosis. Current efforts emphasize XR visualization for Earth science and algorithmic art. Teaching priorities include introductory computer science, non-major courses in computer art with Processing/Arduino, and graphics/HCI. He has supervised undergraduate research leading to advanced academic and industry careers in VFX/game design. Publications span image registration techniques, sensor ontology development, and XR-based scientific visualization. Collaborations include Google Scholar profiles and a Cambridge Press book on remote sensing registration.

• Knowledge Representation
• Spatial and Temporal Cognition
• Multimodal Interaction
• +3 more

Prof. Christopher Habel is a Professor in the Department of Computer Science at the University of Hamburg, leading the WSV work area. His research focuses on spatial and temporal cognition, multimodal interaction, and accessibility technologies. He holds the formal title of Head of Department WSV and is affiliated with the Faculty of Mathematics, Computer Science and Natural Sciences. Habel's work bridges cognitive science, artificial intelligence, and human-computer interaction with an emphasis on assistive technologies for visually impaired individuals. Key research projects include the CINACS International Research Training Group, exploring auditory-haptic access to spatial graphics, and the development of multimodal comprehension systems integrating text, graphics, and tactile feedback. His contributions span theoretical frameworks in cognitive linguistics and practical implementations of verbal assistance systems for tactile maps and haptic graph exploration. Over 30 years of academic activity is reflected in his extensive publication record (1984–2015), with recent work emphasizing cross-linguistic studies, event recognition in virtual environments, and the design of multimodal interfaces for cognitive robotics. His research integrates computational models with empirical studies on human perception and language processing.

Samee U. KhanView profile

Professor

• Quantum Computing
• Edge Computing
• Fog Computing
• +4 more

Samee U. Khan is a Professor in the Department of Electrical & Computer Engineering at Mississippi State University (MSU), affiliated with the Bagley College of Engineering. He holds a Ph.D. from the University of Texas (2007) and a B.S. from GIK Institute of Engineering & Technology (1999). His research focuses on optimization, robustness, and security of computer systems, with recent emphasis on quantum computing, edge/fog computing, and machine learning applications in neuroscience and cybersecurity. Key research interests include quantum algorithm development, edge computing architectures, and neuro-inspired systems. His work integrates quantum computing with traditional machine learning to address challenges in visual perception modeling and medical imaging analysis. He also explores fog computing frameworks for IoT and distributed systems, emphasizing security and efficiency in heterogeneous environments. Publications highlight advancements in quantum noise mitigation, hybrid quantum optimization, and brain-computer interface models. His contributions span simulation toolkits like iFogSim and frameworks for vehicular networks and blockchain-based resource management. Khan’s research bridges theoretical computer science with practical applications in smart homes, healthcare, and autonomous systems.

Zia Ush ShamszamanView profile

Senior Lecturer

• Cybersecurity
• AI Governance
• Secure and Safe AI
• +5 more

Dr. Zia Ush Shamszaman is a Senior Lecturer in Computer Science at Teesside University's School of Computing, Engineering & Digital Technologies (SCEDT). He holds a PhD in Computer Science from the University of Galway and a Master's from Hankuk University of Foreign Studies. His research focuses on Cybersecurity, AI Ethics, IoT Resilience, and Game Theory applications, with a strong emphasis on bridging academic research with industry applications. Teaching responsibilities include postgraduate modules on AI Ethics, Cyber Risk Management, and Ethical Hacking, alongside undergraduate courses in Secure Data Acquisition and Ethical Hacking. He actively supervises five PhD students in cybersecurity and AI, advocating for inclusive technology education and societal impact. Professional memberships include IEEE (Senior Member), Elsevier Advisory Panel, and W3C. He has organized conferences like the International Conference on Suitable Technologies 4.0 and served on program committees for major events. Recognized for exceptional peer reviewing, he has received awards from leading journals like the Journal of Network and Computer Applications and Future Generation Computer Systems. Current projects funded by Innovate UK include CyberPathway (diversity in cybersecurity education), SafeSCMS (AI-driven supply chain security), and Opera-CyberThemis (trustworthy AI frameworks). Past industry roles include technical leadership in Bangladesh's government projects like the Machine Readable Passport system and World Bank-funded Bangladesh Automated Clearing House initiative. Shamszaman's work spans industry collaborations, academic leadership, and community engagement, with recent media contributions on GenAI governance and cyber resilience strategies. His research integrates theoretical advancements with practical solutions for SMEs, healthcare systems, and underserved communities.

Oliver TurnbullView profile

Professor

• Neuropsychology
• Emotion Regulation
• Memory Disorders
• +3 more

Oliver Turnbull is a Professor of Neuropsychology and Deputy Vice-Chancellor at Bangor University. He holds roles in the Vice Chancellor's Office and The Institute for Wellbeing Research, with a former affiliation to the School of Psychology & Sport Science. His research focuses on emotion neuroscience, neuropsychological disorders, and psychotherapy applications. Turnbull earned a PhD in neuropsychology from Cambridge University (1994) and is a Chartered Clinical Psychologist with the British Psychological Society. He has authored over 200 publications and co-authored influential books like The Brain and the Inner World . Key research themes include emotion regulation, delusional beliefs in neurological patients, and memory preservation in amnesia cases. Education: PhD: Neuropsychology, Cambridge University (1991-1994) Professional Qualifications: Chartered Clinical Psychologist (BPS, 2004) His work integrates clinical practice with neuroscientific insights, particularly addressing acquired brain injury and stroke patients. Projects include emotion-based learning mechanisms and neuropsychological rehabilitation strategies. Collaborations span international institutions, emphasizing interdisciplinary approaches to mental health challenges. Recent studies highlight emotional processing deficits in neurological disorders and innovative interventions for anger management post-injury. His contributions bridge psychoanalytic theory with modern neuroscience, influencing both academic research and clinical practice.

Bogdan GhitaView profile

Associate Professor

• Cybersecurity
• Network Security
• IoT Security
• +8 more

Dr. Bogdan Ghita is an Associate Professor and Associate Dean International in the Faculty of Science and Engineering at the University of Plymouth. His primary affiliation is with the School of Engineering, Computing and Mathematics. He leads network research within the Centre for Security, Communications, and Network Research. His research focuses on cybersecurity, IoT security, machine learning applications in networking, blockchain technology, network function virtualization, and disaster communication systems. He has supervised over 20 PhD students on topics ranging from smart grid optimization to network intrusion detection. Teaching responsibilities include undergraduate courses like Cyber Security and Networks, Ethical Hacking, and Network Monitoring, as well as postgraduate modules in Ethical Hacking. He actively contributes to curriculum development in online education and cybersecurity pedagogy. Key research themes include: Network slicing and NFV in disaster recovery systems Cybersecurity for IoT and industrial systems Machine learning for network anomaly detection Blockchain-based trust management for M2M services Forensic analysis of digital evidence His recent work explores AI-driven personalized education frameworks and quantum-resistant cryptographic schemes. He has published extensively in top-tier conferences/journals with a focus on applying computational methods to solve real-world cybersecurity challenges.

Thomas WilliamsView profile

Associate Professor

• Human-Robot Interaction
• Natural Language Processing
• Artificial Intelligence
• +3 more

Thomas Williams is an Associate Professor of Computer Science at the Colorado School of Mines, where he directs the MIRRORLab (Mines Interactive Robotics Research Lab). He earned his PhD in Computer Science and Cognitive Science from Tufts University in 2017. His educational background includes: BA in Computer Science, Hamilton College, 2011 MS in Computer Science, Tufts University, 2013 PhD in Computer Science: Cognitive Science, Tufts University, 2017 Williams' research focuses on artificial intelligence for human-robot interaction, especially natural language understanding and generation in uncertain environments. His work integrates cognitive science principles from linguistics and psychology to develop context-aware robotic systems. Key areas include Human-Robot Interaction, Natural Language Processing, Robot Ethics, and Augmented Reality, with emphasis on ethical implications and social dynamics in human-robot communication. Analysis of his publications (2015-2020) reveals a clear trajectory toward context-sensitive dialogue systems that handle ambiguity, social norms, and ethical considerations. His work increasingly explores multimodal interaction through AR/VR and examines how language-capable robots influence human moral frameworks, with growing attention to gender dynamics and noncompliance behaviors in social robotics. His notable awards include: New and Future AI Educator Award, EAAI (2017, 2018) Teaching Fellowship, Tufts Graduate Institute for Teaching (2015) Doctoral Consortia participation at YRRSDS (2014), HRI (2015), and AAAI (2016) Williams teaches Human-Robot Interaction, Robot Ethics, and Computer Vision courses while leading externally funded research. His work receives support from NSF, ONR, ARL, and Early Career awards from NSF, NASA, and AFOSR, focusing on grants that advance context-aware natural language interaction in robotics. As director of the MIRRORLab, he oversees research on human-robot interaction systems that dynamically adapt to environmental, cognitive, social, and moral contexts, with applications in assistive robotics and collaborative workspaces.

Tim BlackwellView profile

Senior Lecturer

• Swarm Intelligence
• Computer Music
• Cellular Automata
• +3 more

Tim Blackwell is a Senior Lecturer in the Computing Department at Goldsmiths, University of London. He holds a BSc in Physics (1980), a DPhil in Theoretical Physics (1984), and an MSc in Computer Science (2001). His research focuses on swarm intelligence, computational music, and optimization algorithms, with notable contributions to particle swarm optimization and tomographic reconstruction. Education: BSc Physics, 1980 DPhil Theoretical Physics, 1984 MSc Computer Science, 2001 His work bridges computational methods with artistic and scientific applications, including projects like 'A Sound You Can Touch' and 'Swarm Techtiles.' Recent research explores optimization benchmarks, environmental applications (e.g., illegal fishing detection), and evolutionary algorithms. Key publications span journals like IEEE Transactions on Evolutionary Computation and conferences such as GECCO. His work emphasizes interdisciplinary approaches, integrating computational techniques with fields like music, image processing, and environmental science.

• Perception
• Attention
• Motor Control
• +3 more

Richard Abrams is a Professor of Psychological & Brain Sciences at Washington University in St. Louis. His research focuses on perception, attention, and motor control, particularly investigating how mental mechanisms underlie eye and limb movements and visual attention. He holds a PhD and MA from the University of Michigan and a BS from Columbia University. His work explores perceptual objects in attention/action, visual stimuli effects, and distractor suppression. Key research themes include attentional capture by motion onset and value-driven stimuli, the role of hand proximity in vision, and embodied cognition principles. His recent studies emphasize attentional suppression mechanisms and spatial task relevance modulation. Abrams’ lab website provides further details on ongoing projects and experimental paradigms. His research has been featured in Ampersand for discoveries like visual distraction’s 'silver lining,' where distractor suppression enhances focus on competing stimuli. Grants and advising details are not explicitly detailed in the provided text.

Scott NoklebyView profile

Professor

• Robotics Engineering
• Mechatronics Systems
• Automation Technologies
• +7 more

Dr. Scott Nokleby is an Associate Dean, Academic and Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology. He holds a PhD in Mechanical Engineering from the University of Victoria (2003), and has over two decades of academic leadership and research experience. His primary roles include academic administration and advancing robotics and mechatronics research. Education: PhD (Mechanical Engineering, UVic, 2003), MASc (Mechanical Engineering, UVic, 1999), BEng (Mechanical Engineering with Co-op, UVic, 1997). Research interests focus on advanced robotics topics including parallel manipulators, mobile-manipulator systems, kinematic redundancy analysis, and autonomous systems. His work emphasizes practical applications such as radiation mapping robots, perching drones, and robotic hazard management. Notable contributions include optimal design methodologies for mechanisms and control systems for human-robot interaction. Publications reflect expertise in robotics systems, mechatronics, and nuclear engineering applications. Recent work explores multi-robot task allocation, autonomous navigation, and advanced control algorithms. Awards: Fellow of ASME (2022) Fellow of CSME (2016) CSME Best Paper Award (2014) UOIT Research Excellence Award (2008) CSME I.W. Smith Award (2007) Teaches graduate courses in advanced robotics, mobile robotic systems, and mechanism design. Active in academic administration, he bridges teaching innovation with engineering education through projects like tablet computing integration in design courses. Labs/Teams: Leads robotics research initiatives focused on autonomous systems development, with collaborations spanning nuclear safety, mining automation, and aerospace applications.

Fabien MoutardeView profile

Professor

• Machine Learning
• Deep Learning
• Computer Vision
• +8 more

Fabien Moutarde is a Full Professor and Director of the Center for Robotics at MINES ParisTech (PSL University, Paris, France). He holds a PhD in Physics and an Habilitation to Direct Research in Engineering Sciences. Dr. Moutarde coordinates French engineering education at ParisTech_Shanghai (SPEIT) in China. Research Areas Deep Learning & Reinforcement Learning Computer Vision for Intelligent Vehicles Collaborative Robotics Traffic Analysis & Forecasting Human Gesture Recognition Recent Article Trends His work focuses on autonomous driving using Deep Reinforcement Learning, pedestrian trajectory prediction with spatio-temporal attention, and multi-modal localization techniques combining vision with Wi-Fi. Key applications include urban traffic analysis, collaborative robotics, and end-to-end driving systems. Leadership & Teaching Co-created specialized Machine Learning courses Pioneered Deep Reinforcement Learning lectures Led French-Chinese academic coordination Former UML/Java curriculum developer Publications With 28 h-index, his research includes 30+ IEEE/ACM publications on autonomous vehicles, gesture recognition, and traffic mining. Representative conferences: CVPR, NeurIPS, IROS, ITSC.

Daniel RothView profile

Professor

• Artificial Intelligence
• Virtual Reality
• Augmented Reality
• +6 more

Prof. Dr. Daniel Roth is a Professor of Machine Intelligence in Orthopedics at the TUM School of Medicine and Health at Technical University of Munich (TUM), appointed in September 2023. His research focuses on human-machine interfaces in medicine, including AI, virtual/augmented reality (XR) technologies for surgical assistance systems, disease diagnosis, and rehabilitation. Previously, he held a junior professorship in Human-Centered Computing and Extended Reality at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Education: Bachelor's/Master's in Media and Imaging Technology (TH Köln) PhD in Computer Science (Julius-Maximilians-Universität Würzburg) Research Interests: Roth’s work integrates AI and extended reality to solve healthcare challenges. Key areas include: XR-based surgical training and teleconsultation systems AI-driven analysis of surgical workflows Embodiment in virtual environments for medical applications Accessibility technologies for visually impaired users Publications: Recent work emphasizes immersive medical visualization, telemedicine systems, and user embodiment in VR. Key themes include: XR applications in surgery and patient care 3D teleconsultation for emergency scenarios AI-enhanced anatomy visualization Awards: Best Demo Honorable Mention (IEEE VR, 2021) Best Poster Award (ISMAR, 2020) IEEE TVCG Best Journal Paper (2018) Grants & Teams: Active in interdisciplinary projects at Klinikum rechts der Isar. Collaborates with industry partners on AR/VR healthcare solutions. No formal advisee list is provided, but his work involves multi-disciplinary teams. Labs/Teams: Leads machine intelligence initiatives in TUM’s medical school, focusing on translational research between engineering and clinical practice.

Kathryn DumbletonView profile

Clinical Professor

• Contact Lenses
• Ocular Surface
• Dry Eye
• +3 more

Kathryn Dumbleton is a Clinical Professor at the Herbert Wertheim School of Optometry & Vision Science at University of California, Berkeley. She also serves as Director of Professional Engagement at Berkeley Vision CURE (Children’s Uncorrected Refractive Error). Originally trained as an optometrist in the UK, she earned her MSc in Physiological Optics and PhD in Vision Science from University of Waterloo in Canada. Her academic appointments include roles at University of Waterloo and University of Manchester, where she led clinical research at the Centre for Contact Lens Research. Research Interests: Kathryn's work focuses on contact lenses, ocular surface dynamics, dry eye, and healthcare compliance. Her studies analyze tear film kinetics, lens wettability, and presbyopia correction, with a global perspective on clinical outcomes and patient comfort. Scientific Contributions: She has authored over 150 peer-reviewed publications and abstracts, seven book chapters, and numerous professional manuscripts. Her leadership roles include Vice President of the International Society for Contact Lens Research (ISCLR) and Past President of the American Academy of Optometric Foundation. Honors: Fellow of the American Academy of Optometry (FAAO) Diplomate of the Cornea, Contact Lens, and Refractive Technologies Section (CCLRT, AAO) Fellow of the British Contact Lens Association (FBCLA) Vice President, International Society for Contact Lens Research (ISCLR)