Find Academic Supervisors

Ish JainView profile

Assistant Professor

• Next-generation Networks (6G and beyond)
• Wireless Communication Systems
• Wireless Sensing
• +8 more

Ish Jain is an Assistant Professor in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI), effective Fall 2024. He holds a PhD in Electrical and Computer Engineering from UC San Diego (2024), an MS from NYU (2018), and a BTech from IIT Kanpur (2016). His research focuses on next-generation wireless networks, combining communication, sensing, and security through experimental frameworks like mmWave testbeds. Key contributions include frequency-dependent multi-beam systems, mmWave localization for autonomous vehicles, and security against jamming/sensing spoofing. Education: PhD, UC San Diego (2018–2024) MS, NYU (2016–2018) BTech, IIT Kanpur (2012–2016) Research Interests: His work spans 6G Architecture (multi-beam frameworks, flexible frequency multiplexing), Wireless Sensing (localization, radar integration), and Security (jamming mitigation, spoofing defenses). He emphasizes practical deployments using open-RAN and programmable radios, with a focus on energy efficiency and scalability. Recognition: Qualcomm Innovation Fellowship VMware Research Grant Marconi Society Scholar Best Poster Award (Hotmobile 2023) 3-minute Thesis Winner (MobiSys/MobiCom) Current Courses: ECSE 4660/6660 Internetworking of Things (Spring 2025) ECSE 4560/6560 Modern Communication Systems (Fall 2025) Lab: Wireless Intelligent Systems Lab at RPI. Active in research centers like CMDIS. Collaborates widely via grants and industry partnerships.

• Immigration Policy
• Social Inequality
• Education Policy
• +4 more

Amy Hsin is a Full Professor and Chair of the Department of Sociology at Queens College, City University of New York (CUNY). She holds a Ph.D. in Sociology from UCLA and degrees in Economics from New York University. Her research focuses on immigration, social inequality, education policy, and Asian American studies, with a particular emphasis on undocumented youth and policy impacts. Dr. Hsin’s work has been supported by grants from the National Science Foundation, the William T. Grant Foundation, and the Russell Sage Foundation. Her forthcoming book, analyzing undocumented young adults in NYC, explores ethnic and socioeconomic diversity, immigration policies, and their effects on education trajectories and life aspirations. She has been featured in major media outlets like the New York Times and NPR. Research Themes: Legal status effects on education, policy analysis of DACA, STEM career barriers, and Asian American gender norms Recent Contributions: Examines stratification mechanisms in illegality, policing impacts on students, and occupational barriers for undocumented workers Awards include the 2021 City and States Education 100 Power List recognition. She advises on the Bill and Melinda Gates Foundation/Russell Sage Foundation Pipeline Award Grants and has contributed to over 20 peer-reviewed articles in top journals.

Rawan AlghofailiView profile

Assistant Professor

• Augmented Reality (AR)
• Virtual Reality (VR)
• Human-Computer Interaction (HCI)
• +3 more

Dr. Rawan Alghofaili is an Assistant Professor in the Department of Computer Science at The University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. She specializes in Augmented Reality (AR), Virtual Reality (VR), Human-Computer Interaction (HCI), and Eye-tracking technologies. Her work emphasizes user-centered design principles and accessibility, with applications in assistive technology and virtual training systems. Education: PhD in Computer Science (2022), George Mason University MS in Computer Science (2018), University of Massachusetts-Boston MEng in Computer Science (2014), Cornell University BS in Information Technology (2011), King Saud University Research Interests: Dr. Alghofaili's research focuses on advancing AR/VR systems through innovative interaction techniques, including gesture-based input, error-aware mediation, and gaze-tracking applications. She explores how these technologies can enhance accessibility for individuals with communication challenges and improve virtual training environments. Her work often intersects with assistive technology, spatial computing, and user behavior analysis. Publications Trends: Her recent work spans topics such as flying creature animation paths in outdoor AR, mixed reality AAC applications for expressive language support, and environment-aware 3D sketching tools. Earlier contributions include VR navigation aids and reviews of skill training applications in healthcare and retail. Professional Activities: She serves on program committees for prestigious venues such as IEEE VR, Eurographics, and CHI. Her current focus includes establishing remote VR training facilities and developing error-detection systems in gesture input. Labs/Teams: Her research group likely focuses on XR applications, HCI innovations, and assistive technology solutions, though specific lab names are not explicitly stated in the provided data.

Federico NeriView profile

Researcher

• Collaborative Robotics
• Mobile Robotics
• Robotic Assembly
• +2 more

Federico Neri is a researcher in robotics at Polytechnic University of Marche's Department of Industrial Engineering and Mathematical Sciences. He holds a B.S. (2019) and M.S. (2021) in Mechanical Engineering from Polytechnic University of Marche, where he is currently pursuing doctoral studies in Industrial Engineering. Research focuses on collaborative and mobile robotics with specialization in obstacle avoidance systems, robotic assembly, and localization techniques. Key research areas include non-holonomic mobile robots, collision avoidance controls, human-robot collaboration safety, and UWB-based localization. Recent publications investigate adaptive prioritization for mobile manipulators (2025), differential wheel control (2024), wooden structure assembly (2023), and ultra-wideband localization systems. Experimental work validates collision avoidance methods for industrial applications.

• Cyberpsychology
• Human-Computer Interaction (HCI)
• Online Gambling
• +4 more

Dr Ruijie Wang is a Senior Lecturer in Psychology at Bournemouth University, specializing in Cyberpsychology and Human-Computer Interaction. She leads the GambleAware-funded responsible gambling project focusing on transparency in gambling sites using eye-tracking and co-design methods. Previously, she earned a PhD in Computer Science from De Montfort University (2020), researching motivation modeling for dyslexic learners. Her research spans user-centered design in online gambling and e-learning, employing multidisciplinary approaches including eye-tracking, EEG, and machine learning. Key affiliations include the BU Gambling Research Group, Interdisciplinary Neuroscience Research Centre (INRC), and Bournemouth University HCI Research Group (BUCHI). Recent work emphasizes transparency in technology, generative AI ethics, and cross-cultural decision-making. She has supervised multiple international PhD students and contributed to over 20 peer-reviewed publications since 2017. Her work aligns with UN SDGs including Quality Education, Good Health & Well-being, and Gender Equality.

• Deep Learning
• Data Mining
• Medical Image Analysis
• +7 more

Dr. Daqing Chen is a Senior Lecturer in Data Science at London South Bank University (LSBU), serving as Deputy Head of the Division of Computer Science and Informatics and Course Director for the MSc Data Science program. His expertise spans deep learning algorithms, data mining, and AI applications in fields like medical diagnostics, lip-reading systems, and business intelligence. He holds a PhD in Automatic Control Engineering (1990-1993) and has held academic and research roles at institutions including Xidian University and the University of Nantes. His work addresses challenges in high-dimensional data embedding, UAV target tracking, and healthcare technology. Research Interests: Deep learning for lip-reading and silent speech recognition Data visualization and manifold learning techniques Medical image analysis and healthcare analytics AI-driven business intelligence solutions Autonomous systems and UAV motion planning Recent Projects: Smart Technology for Fighting Zika-Virus Epidemics (UK-Brazil collaboration) Big Data analytics for the London Borough of Lambeth Consumer-centric business intelligence for online retailers Teaching Responsibilities include Data Mining and Big Data Analytics modules. His research contributes to UN Sustainable Development Goals related to quality education and innovation in healthcare.

Yanjie ChenView profile

Visiting Professor

• Robotics
• Computer Vision
• Control Systems
• +3 more

Yanjie Chen is a Visiting Professor in the Department of Computer Science at Aberystwyth University. Their research focuses on robotics, computer vision, control systems, and artificial intelligence, with notable contributions in aerial manipulators, neural architecture search, and fuzzy logic systems. Chen holds the prestigious Newton International Fellowship since 2022. In robotics, Chen explores advanced control strategies for unmanned aerial vehicles and manipulators, addressing challenges like dynamic tracking, impedance control, and environmental disturbances. Their work in AI emphasizes optimization techniques for neural networks, including pruning and architecture search, enhancing computational efficiency. In computer vision, Chen develops attention-based mechanisms for super-resolution tasks. Key Achievements: Recipient of the Newton International Fellowship (2022) High-impact publications in IEEE Transactions and Springer venues Collaborations with institutions like Fuzhou University and Hunan University Chen’s research bridges theory and application, with practical solutions for robotics, autonomous systems, and AI-driven image processing.

• Computer Vision
• Augmented Reality
• Image Processing
• +4 more

Gerhard Roth is an Adjunct Professor in the Department of Computer Science at Carleton University, affiliated with the School of Computer Science. His research focuses on computer vision, augmented reality, and 3D modeling, with significant contributions to camera calibration, real-time tracking systems, and GPU-accelerated algorithms. He has pioneered work in markerless augmented reality, robust feature matching, and applications in robotics and medical imaging. Key research interests include augmented reality systems development , camera pose estimation , and biologically inspired vision algorithms . His work often bridges computer vision and graphics, addressing challenges such as realistic illumination in AR, efficient video copy detection, and collaborative gesture interaction. Publications span topics ranging from GPU-based visual cortex modeling to panoramic image stitching, reflecting a focus on practical, real-world applications. He collaborates with institutions like the University of Ottawa’s VIVA Lab on projects like TRECVID benchmarking and medical imaging analysis. Current efforts emphasize improving AR authoring tools and robust feature descriptors for dynamic environments. Notable contributions include the Projective Vision Toolkit , Command Center AR tool , and advancements in stereo vision algorithms. His research has implications for robotics, healthcare interfaces, and immersive visualization systems.

Farah ChancharyView profile

Lecturer

• Computer Science
• Cloud Computing
• Data Structures
• +7 more

Farah Chanchary is a Lecturer and Lab/Course Coordinator at the School of Computer Science, Carleton University. She specializes in areas such as data structures, cloud computing, and educational technologies. Her work spans algorithm design, privacy in advertising, and challenges in e-learning, particularly in Saudi Arabia. She coordinates laboratory and course activities, supporting academic infrastructure. Research Interests: - Data Structures and Algorithms - Cloud Computing and Migration - Privacy-Preserving Models in Advertising - E-Learning Readiness and Challenges - Machine Learning Applications (Neural Networks, Genetic Algorithms) - Geometric Query Processing Publications Trends: Her recent work focuses on efficient data structures for window queries, privacy concerns in online advertising, and cloud computing challenges. Earlier research includes studies on e-learning adoption in Saudi Arabia and neural network applications in rainfall forecasting. No awards or grants are listed. She has no documented advisees. She manages laboratory facilities and course coordination in the School of Computer Science.

Silvère BonnabelView profile

Professor

• Systems and control
• Robotics
• Machine learning
• +5 more

Silvère Bonnabel is a Professor at École des Mines ParisTech (Mines ParisTech), a prestigious engineering school in France. He holds a Research Habilitation HDR (2014) and a PhD (2007) from Mines ParisTech, along with advanced degrees in financial mathematics and engineering. His professional experience includes roles as Professor at the University of New Caledonia (2019-2022), Visiting Fellow at the University of Cambridge (2017), and Assistant Professor at Mines ParisTech (2009-2016). Bonnabel’s research focuses on systems and control, robotics, machine learning, and navigation, with notable contributions to invariant Kalman filtering and optimization on manifolds. He has authored/co-authored over 100 articles, 9 patents, and achieved an h-index of 39. Notable awards include the 2024 George N. Saridis Award and 2021 European Control Award. His work bridges theoretical advancements with industrial applications, including collaborations with companies like Safran, Thales, and Manitowoc. Bonnabel has supervised numerous PhD students, contributing to breakthroughs in inertial navigation, radar tracking, and autonomous systems. Education: 2014: HDR in Mathematics (Paris VI Sorbonne) 2004-2007: PhD, Mines ParisTech 2003-2004: Master in Financial Mathematics (Paris XII) 2001-2004: Engineering Degree, Mines ParisTech Industrial Collaborations: Partnerships with Safran, Thales, Manitowoc, and startups like OFFROAD, focusing on crane control, inertial navigation, and autonomous systems. Editorial Roles: Associate Editor for IEEE Control Systems Magazine, European Control Conference, and Systems & Control Letters. His research emphasizes geometric control theory, stochastic algorithms, and sensor fusion, with applications to robotics, aerospace, and industrial automation. Bonnabel’s work on invariant extended Kalman filters has been commercialized in products like Safran’s inertial navigation systems.

Christos PanayiotouView profile

Professor

• Modeling
• Control Systems
• Optimization
• +6 more

Christos Panayiotou is a Professor in the Electrical and Computer Engineering Department at the University of Cyprus (UCY) and serves as the Deputy Director of the KIOS Research and Innovation Center of Excellence. He holds a B.Sc. and Ph.D. in Electrical and Computer Engineering from the University of Massachusetts Amherst (1994 and 1999), as well as an MBA from the Isenberg School of Management. Prior to joining UCY in 2002, he was a Research Associate at Boston University's Center for Information and System Engineering. His research focuses on modeling, control, optimization, and performance evaluation of discrete event and hybrid systems, with applications in intelligent transportation systems, cyber-physical systems, machine learning, wireless networks, and smart buildings. His work has secured over €45 million in funding from national/EU agencies, governments, and private entities. He has published over 290 papers and received the 2014 Best Paper Award in Building and Environment . Editorial Roles : Associate Editor for IEEE Transactions on Intelligent Transportation Systems, IEEE Control Systems Society, and others. Leadership : General Chair of EWGT2020, Co-Chair of ECC2018, and Chair of IEEE Computational Intelligence Society subcommittees. Key projects include UAV swarm coordination for maritime surveillance, digital twin architectures for smart buildings, and resilient traffic demand management systems. His grants emphasize cyber-physical systems, energy grids, and disaster response technologies.

Sean MawView profile

Associate Professor

• Sports Engineering
• Winter Sports (Curling, Speed Skating, Skiing)
• Crash Protection Engineering
• +6 more

Sean Maw holds the Jerry G. Huff Chair in Innovative Teaching and is an Associate Professor at the Ron and Jane Graham School of Professional Development, Division of Biomedical Engineering, University of Saskatchewan. His academic career includes roles at Mount Royal University and leadership in Olympic sports engineering projects. He earned a PhD in Neuroscience from the University of Alberta (2002), M.A.Sc. and B.A.Sc. from the University of Waterloo's Systems Design Engineering program (1993, 1990). Research Interests: Sports Engineering: Focuses on winter sports like curling, speed skating, and bobsleigh, with contributions to ice friction modeling, crash protection systems, and equipment optimization. Engineering Education: Specializes in curriculum innovation (e.g., first-year program redesign), academic integrity, creativity in design, and competency-based assessment. Pioneered VR tools like TrussVR for teaching mechanics. Teaching: Currently teaches mechanics, engineering design, and entrepreneurship courses. Recent roles include leading a multidisciplinary capstone design course and piloting competency-based assessment frameworks. Key Projects: Designed crash pads for Short Track Speed Skating. Collaborated with Speed Skating Canada on safety guidelines and equipment testing. Contributed to the Olympic Oval energy audit and sustainability initiatives. Labs/Teams: Active in biomechanics and sports engineering research groups, including collaborations with the Hotchkiss Brain Institute and NASA-related space education projects.

Brian McClendonView profile

Research Professor

• machine learning
• computer vision
• autonomous vehicles
• +1 more

Brian McClendon is a Research Professor at the University of Kansas School of Engineering's Department of Electrical Engineering and Computer Science. Previously, he served as Vice President at Google, leading the Geo business unit responsible for Google Maps, Street View, and Google Earth. His work earned him the United Nations 'Champions of the Earth' award in 2013 and induction into the National Academy of Engineering in 2015. He holds an honorary doctorate in electrical engineering from KU and has over 30 patents. His research focuses on democratizing machine learning, computer vision, autonomous vehicles, and next-generation mapping technologies. Key areas include intelligent geographic information systems, autonomous vehicle navigation, and privacy-preserving geolocation solutions. His work bridges academia and industry, emphasizing scalable, user-centric systems. Notable contributions include innovations in distributed GIS architecture, encryption for transport systems, and methods for image-based location determination. His patents and publications reflect expertise in geospatial data management, sensor integration, and cybersecurity in transportation. Awards : UN Champions of the Earth (2013) National Academy of Engineering Member (2015) Honorary Doctorate in EE (KU, 2015) Grants/Political Activity : Ran for Kansas Secretary of State (2018, Democratic ticket) His lab collaborations emphasize real-world applications of mapping technology, including disaster zone mapping and indoor navigation systems. Current projects explore AI-driven mapping and ethical geospatial data practices.

Kristina LedmanView profile

Associate Professor

• Citizenship Education
• Vocational Education and Training
• Social Studies Pedagogy
• +4 more

Kristina Ledman is an Associate Professor at the Department of Education, Umeå University, Sweden. Her research focuses on citizenship education, vocational education and training, and curriculum development with an emphasis on social studies, history education, and gender dynamics. She explores how pedagogical practices shape democratic values and civic engagement among vocational students. Her work examines interdisciplinary approaches to education policy, teacher strategies, and institutional frameworks. Key research interests include controversial issues in education, gendered processes in vocational training, and the intersection of curriculum design with societal needs. She has contributed to projects analyzing the role of history and social sciences in vocational programs, as well as the distribution of knowledge across academic and vocational tracks. Recent publications highlight themes such as teacher perceptions of citizenship education, emotional dynamics in classrooms, and collaborative educational initiatives. While no awards are explicitly listed, her extensive publication record reflects active engagement in Nordic and international educational discourse. Dr. Ledman’s work often addresses the democratic mission of schools and the societal implications of educational policy, particularly in bridging theory and practice in vocational settings.

Michael KofoedView profile

Assistant Professor

• Economics of Education
• K12 Policy
• Higher Education Finance
• +6 more

Michael Kofoed is an Assistant Professor of Economics at the University of Tennessee at Knoxville , holding a joint appointment in the Department of Economics and the Boyd Center for Business & Economic Research within the Haslam College of Business . Previously, he served as Associate Professor of Economics and Associate Economics Program Director at the United States Military Academy at West Point . He earned his Ph.D. in Economics (2014) from the University of Georgia and a B.S. in Quantitative Economics (2009) from Weber State University. His research expertise spans the economics of education , K-12 policy , higher education finance , health economics , and applied microeconometrics . He is an IZA Research Fellow , visiting scholar at the Federal Reserve Bank of Philadelphia's Consumer Finance Institute , and invited researcher at J-PAL North America . His work has been published in journals such as the Journal of Public Economics , Journal of Human Resources , and Journal of Health Economics , with media coverage in the Wall Street Journal , Money Magazine , and Yahoo! Finance . Awards include the Superior Civilian Service Award and Meritorious Civilian Service Award (2023, Department of the Army), and the Swift Undergraduate Teaching Fellowship (2013, University of Georgia). His policy contributions address topics like veteran education benefits , financial aid administration , and online learning outcomes . Advising and Grants : Kofoed has advised on policy matters related to education finance and contributed to research funded by institutions like the Boyd Center. His work often intersects with military personnel economics and charitable giving behavior .