Find Academic Supervisors

Adrian BelingView profile

Assistant Professor

• Sustainability Governance
• Environmental Sociology
• Buen vivir Theory
• +3 more

Dr. Adrian Beling is an Assistant Professor of Sociology and Environmental Studies at The King's University and holds the Canada Research Chair in Transition to Sustainability. He leads a research group focusing on sustainability governance and has taught courses like Humanity and the Biosphere and Global Sustainability. His interdisciplinary work explores sustainability transitions through a post-Eurocentric lens. Education: PhD (Humboldt University of Berlin & Alberto Hurtado University, 2017), M.A. (Freiburg University & FLACSO Argentina, 2011), B.A. (Universidad Nacional de Cuyo, 2003). Research interests center on sustainability governance frameworks, the role of religion in environmental policymaking, and Buen vivir theory. He co-founded the academic blog Alternautas and the Ecocene Foundation, and designed the Higher Diploma in Integral Ecology program. Key achievements include over 25 academic publications, co-authoring the Routledge Handbook of Global Sustainability Governance, and leading international collaborations through the SustENABLE Transformation program. He has received grants supporting interdisciplinary sustainability research and global education initiatives. Dr. Beling actively engages in knowledge mobilization through platforms like the University Network for the Care of the Common Home (RUC) and serves as Academic Director for FLACSO Argentina's Global Studies Programme.

TAN Wee KekView profile

Associate Professor

• Technology-Enhanced Learning
• Artificial Intelligence in Education
• Consumer-based Information Technology
• +5 more

Dr. TAN Wee Kek is an Associate Professor (Educator Track) in the Department of Information Systems and Analytics at the National University of Singapore's School of Computing. He served as Assistant Dean in the School's Office of Student Life from 2019 to 2024 and has been a Fellow of the NUS Teaching Academy since 2017. He holds a Doctor of Philosophy in Information Systems and Bachelor of Computing in Information Systems (First Class Honours) from NUS, and previously earned a Diploma in Computer Information Systems from Singapore Polytechnic. His research focuses on Technology-Enhanced Learning (TEL), particularly artificial intelligence applications in education, and consumer-based information technology including online decision aids, social computing, virtual worlds, and consumer cloud services. His methodological approach primarily employs design science paradigms. Publication analysis reveals his scholarly work spans educational technology, e-commerce systems, human-computer interaction, and information systems pedagogy, with recent emphasis on learning analytics and AI-enhanced educational frameworks. Major Honors: Commendation Medal from Singapore's President (2017) Multiple Annual Teaching Excellence Awards (2009-2024) Crystal Service Award, WorldSkills Singapore Council (2018) Lee Kuan Yew Award for Mathematics and Science (2001)

Shuangquan WangView profile

Assistant Professor

• Mobile & Wearable Computing
• Activity Recognition
• Smart Health
• +3 more

Shuangquan (Peter) Wang is an Assistant Professor of Computer Science at Salisbury University. He holds a PhD in Computer Science from the College of William & Mary (2020) and a PhD in Pattern Recognition and Intelligent Systems from Shanghai Jiao Tong University (2008), along with earlier degrees from Wuhan University of Technology and Wuhan Institute of Technology. His research focuses on mobile/wearable computing, activity recognition, smart health, and machine learning. He has over 10 years of experience in academia and industry, including roles at Philips Research East Asia and Nokia Research Center (Beijing). His work emphasizes wearable sensor-based health monitoring, such as fall detection, mastication analysis, and Parkinson’s disease monitoring. He leads the WISH Research Lab and serves as an Associate Editor for Elsevier's Smart Health Journal. Recent contributions include papers on salinity anomaly detection (2024), LLM-based user requirement analysis (2024), and socially acceptable food recognition (2022). His research trends emphasize interdisciplinary applications of machine learning in healthcare and sensor-driven human activity analysis. Professional service roles include coordinating Salisbury University’s Center for Applied Mathematics and Science (2021–2024) and chairing ACM/IEEE CHASE conferences. He has delivered invited talks on artificial intelligence and its societal impacts to diverse audiences, including the Institute of Retired Persons at Salisbury University. His lab, WISH Research Lab, explores innovative solutions in smart health and mobile computing, integrating wearable technologies with machine learning for real-world health applications.

Mario GandelsonasView profile

Professor

• Urbanism and Semiotics
• Urban Architecture
• Residential Design
• +5 more

Mario Gandelsonas is a Professor of Architecture and Class of 1913 Lecturer at Princeton University’s School of Architecture, where he also directs the Urban Studies Certificate Program. He is affiliated with the High Meadows Environmental Institute (HMEI) as part of its Grand Challenges Program. His research integrates urbanism, semiotics, and infrastructure, emphasizing how architectural and urban systems interact with cultural and environmental contexts. Education includes a Diploma from the University of Buenos Aires and a Certificate from the Centre de Recherche d’Urbanisme in Paris. Gandelsonas has led significant projects like the Xu Jia Hui district in Shanghai and the Pappajohn Sculpture Park in Des Moines. He co-founded Agrest & Gandelsonas, an architectural firm focused on urban design and theoretical exploration. His work has been recognized with the AIA College of Fellows (2006), honoring contributions to architectural education and practice. He directed the Center for Architecture, Urbanism, and Infrastructure (CAUI) from 2007–2013 and co-directed the Generative Design Program at Princeton. Key research interests include environmental humanities, urban resilience, and the role of semiotics in shaping urban environments. Grants include funding from Princeton’s Global Collaborative Research Networks for the “Twenty First Century Infrastructure” project. His transdisciplinary approach involves workshops on mobility, energy, and water infrastructure in cities like Paris, Shanghai, and Los Angeles. He advocates for infrastructure as a critical component of sustainable urban development and has published extensively on architectural theory and urban design.

Young Ho SongView profile

Associate Professor

• Organizational Behavior
• Human Resources Management
• Employee Behavior and Well-being
• +5 more

Young Ho Song is an Associate Professor in the Department of Management at the Odette School of Business, University of Windsor. He holds a Ph.D. in Human Resources and Organizational Behaviour from McGill University (2018), an M.I.L.R. from Cornell University (2011), an M.B.A. from the University of British Columbia (2010), and a B.S. in Mechanical Engineering from Yonsei University (1999). His research focuses on organizational behavior, human resources management, and the psychological and behavioral responses of employees to workplace challenges such as customer mistreatment and AI integration. He has received notable awards including the 2024 Professor of the Year and the Odette New Researcher Award (2021). Education: Ph.D., McGill University (2018) M.I.L.R., Cornell University (2011) M.B.A., University of British Columbia (2010) B.S., Yonsei University (1999) Research Interests: Employee behavior under customer mistreatment, AI adoption in workplaces, negotiation strategies in cross-cultural contexts, and the psychological mechanisms behind workplace deviance and conformity. Grants: SSHRC Insight Development Grant ($67,332) Odette Research Innovation Fund grants totaling $22,000 His recent articles explore themes such as AI tool impacts on employee learning, customer satisfaction in mobile app usage, and ethical negotiation strategies in South Asia. He has presented widely at conferences like the Academy of Management and Society for Industrial and Organizational Psychology.

Vinod NamboodiriView profile

Professor

• Assistive Technologies
• Applied Computer Vision
• Smart Health
• +5 more

Prof. Vinod Namboodiri is the Forlenza Chair in Health Innovation and Technology at Lehigh University's Department of Computer Science & Engineering and College of Health. He leads the Accessibility and Assistive Technologies (ACCESS) Lab, focusing on computing technologies to address health disparities affecting people with disabilities. His NSF-funded research develops navigation solutions for individuals with disabilities, with emphasis on smart communities and built environment accessibility. He holds a Ph.D. from UMass Amherst and previously served as Full Professor/Associate Director at Wichita State University and Adjunct Senior Scientist at Envision Research Institute. His research spans assistive technologies, applied computer vision, and smart health systems. Notable work includes MABLESim (indoor accessibility simulation), NaVIP (visually impaired navigation), and economic analyses of accessibility investments. His publications explore both technical innovations and policy implications of assistive technologies. Prof. Namboodiri has received multiple awards for research, teaching, and innovation. His work bridges computer science with disability studies, emphasizing real-world impact through interdisciplinary collaboration. Current projects address indoor navigation systems, cost-benefit analysis of accessibility infrastructure, and human-agent interaction platforms for disability empowerment.

Anita GohdesView profile

Professor

• International Security
• Cyber Security
• Political Science
• +3 more

Prof. Anita Gohdes is a Professor of International and Cyber Security at the Hertie School in Berlin, funded by NXP Semiconductors Germany and supported by Stifterverband. Her research focuses on cyberpolitics, state violence dynamics, and large-scale quantitative analyses of state actions. Previously, she held an Assistant Professorship in International Relations at the University of Zurich and a postdoctoral fellowship at Harvard Kennedy School’s Belfer Center. Since 2009, she has collaborated with the Human Rights Data Analysis Group (HRDAG). She advises international organizations like the German Federal Foreign Office, World Bank, and UN on state fragility and security. Her book Repression in the Digital Age (Oxford UP) examines surveillance and censorship in modern authoritarianism. She leads research at the Centre for International Security, exploring intersections of technology and global security. Awards include the German Dissertation Prize in Social Sciences (Körber Foundation) and the Walter Isard Prize (Peace Science Society) for her Mannheim University doctoral work. Her recent research spans AI governance, civil resistance in digital contexts, and pandemic-era polarization. She has published in top journals like the American Journal of Political Science and Nature Human Behavior .

• Gender Economics
• Labor Economics
• Health Economics
• +3 more

Maryam Dilmaghani is a Professor of Economics at the Sobey School of Business, Saint Mary's University. Her research focuses on gender economics, labor markets, health economics, and behavioral economics. She examines topics such as decision-making under competition, socio-cultural influences on economic behavior, and disparities in well-being across demographic groups. Her work frequently employs empirical approaches to analyze data from elite competitions, labor markets, and Canadian demographic trends. Key research themes include: Gender gaps in earnings, risk-taking, and corrupt behavior Impact of religiosity, education, and body image on economic outcomes Demographic patterns in fertility, homeownership, and citizenship Discrimination studies related to race, sexual orientation, and gender identity Her recent publications explore weather effects on chess player performance, LGBTQ+ economic experiences, and the causal links between education and health behaviors. This work highlights intersections between economic systems and sociocultural factors shaping individual choices and societal structures. Dr. Dilmaghani holds no currently listed awards but has produced a prolific body of peer-reviewed research. Her work contributes to policy debates on workplace diversity, urban planning equity, and labor market inclusion. She can be reached at maryam.dilmaghani@smu.ca for academic collaboration inquiries.

John OwensView profile

Senior Lecturer

• Applied Ethics
• Bioethics
• Public Policy
• +5 more

Dr John Owens is a Senior Lecturer in the School of Education, Communication & Society at King's College London. He co-directs the Centre for Public Policy Research and previously founded the BA Social Sciences programme. His research focuses on applying philosophical and sociological theories to policy challenges in education, healthcare, and environmental sectors, emphasizing critical realism and the capabilities approach. He teaches modules on social justice, environment-society relations, and education policy at undergraduate and postgraduate levels. Research Interests: John explores ethical, social, and political dimensions of public policy through interdisciplinary lenses. His work addresses autonomy, equity, and justice in contexts like environmental pedagogy, healthcare professionalism under austerity, and disability service personalization. He has led projects funded by the Health Foundation and Wellcome Trust, investigating topics like self-management support for long-term conditions and interdisciplinary bioethics training. Publications: His recent works include studies on wearable technology's impact on autonomy, medical professionalism in challenging environments, and the financialization of public services. He has contributed to journals like *Health Care Analysis*, *BMJ Leader*, and *Frontiers in Education*, with over 30 peer-reviewed articles and book chapters. Advising & Grants: John supervises doctoral research on topics like pediatric professionalism and environmental youth engagement. He co-led projects on healthcare ethics and self-management strategies, supported by major health foundations. His work aligns with UN Sustainable Development Goals on health, education, and climate action. Labs/Teams: Active in King's Climate & Sustainability Research and the Centre for Public Policy Research, focusing on policy analysis for social justice in education, healthcare, and environmental policy.

Shahin SirouspourView profile

Professor

• Robotics
• Autonomous Systems
• Control Systems
• +7 more

Shahin Sirouspour is a Professor in the Department of Electrical and Computer Engineering at McMaster University. His research focuses on robotics, autonomous systems, control systems, and optimization, with applications in aerial robotics, teleoperation, haptics, medical robotics, and smart energy grids. He is affiliated with the Telerobotics, Haptics and Computational Vision Laboratory and teaches courses such as Non-linear Control Systems and Electrical Systems Integration Project. He holds a Ph.D. from the University of British Columbia and has supervised numerous graduate students. His lab includes advanced equipment like multi-axis robotic manipulators, haptic interfaces, and real-time computing systems. Education: B.Sc. and M.Sc. from Sharif University of Technology (Iran), Ph.D. from University of British Columbia (Canada). Current roles include accepting graduate students and leading research clusters in Digital & Smart Systems, Energy, and Transportation. Awards include the McMaster President's Award for Excellence in Graduate Supervision. His work bridges theoretical control systems with practical applications in healthcare, energy, and autonomous systems. Research highlights include developing control strategies for multi-agent robotic systems, smart grid optimization, and medical robotics. Collaborations with institutions like MacAUTO and industry partners (e.g., MDA Space Missions) enhance translational impact. His lab supports projects on asymmetric teleoperation, deformable tissue simulation, and microgrid energy management.

Oliver KennedyView profile

Associate Professor

• Databases
• Programming Languages
• Data Science
• +2 more

Dr. Oliver Kennedy is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences. He serves as Co-Director of Graduate Studies and leads the Online Data Interactions (ODIn) Lab. His research focuses on databases, programming languages, and user interfaces for data science, with particular emphasis on scalable compilers and managing uncertainty in data. Kennedy holds a PhD in Computer Science from Cornell University (2011), MS from Cornell (2008), and dual BS degrees in Computer Science and Computer Engineering from NYU and Stevens Institute of Technology (2005). His work bridges theoretical computer science with practical data management challenges. His recent publications demonstrate a strong focus on improving database query processing, uncertainty management in data systems, and developing practical tools for data integration and exploration. Awarded the NSF CAREER Award in 2018, Kennedy's research has significant implications for efficient data processing in scientific and commercial applications.

Omprakash GnawaliView profile

Associate Professor

• Internet of Things
• Smart Devices
• Wireless Sensor Networks
• +3 more

Omprakash Gnawali is an Associate Professor in the Department of Computer Science at the University of Houston, with expertise in Internet of Things, wireless sensor networks, and artificial intelligence. His research focuses on advanced networking protocols, mobility analysis, and safety monitoring systems. Postdoctoral work at Stanford University PhD in Computer Science from University of Southern California Masters and Bachelors from Massachusetts Institute of Technology His research interests include Ultra-Wideband (UWB) localization, network protocol design, edge computing for monitoring systems, and mobile sensor networks. He leads the Networked Systems Laboratory , where he develops frameworks like the Collection Tree Protocol and CodeDrip for efficient data dissemination. Recent publications highlight trends in UWB-based safety monitoring, routing optimization in dual-radio networks, and deception detection in cybersecurity. He has secured NSF Student Travel Grants for ACM SenSys conferences in 2016 and 2017. Scientific Awards NSF Student Travel Grant (2017) NSF Student Travel Grant (2016) He actively mentors students in research projects and teaches courses such as Research Methods in Computer Science and Computer Networks . His service roles include Technical Program Committee memberships and chairing the TinyOS Network Protocol Working Group.

Ramana VinjamuriView profile

Associate Professor

• Brain-Machine Interfaces
• Neuroprosthetics and Exoskeletons
• Machine Learning
• +4 more

Ramana Vinjamuri is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a secondary appointment as Visiting Professor at the Indian Institute of Technology, Hyderabad, India. His academic journey includes a Ph.D. in Electrical Engineering from the University of Pittsburgh (2008), M.S. in Bioinstrumentation from Villanova University (2004), and B.Tech. in Electrical and Electronics Engineering from Kakatiya University (2002). Dr. Vinjamuri's research focuses on Brain-Machine Interfaces (BMIs) for upper-limb prostheses control , neuroprosthetics and exoskeletons , machine learning in motor control , and neurophysiological signal processing . His work extends synergy-based models to control 37-dimensional hand movements, addresses human-robot interaction through emotionally intelligent systems, and develops neurotechnologies for substance use disorder using wearable sensors and AI. NSF CAREER Award (2019) NSF IUCRC BRAIN Center Planning Grant (2020) Harvey N Davis Distinguished Teaching Assistant Professor Award (2018) His publications demonstrate expertise in EEG and EMG signal analysis , deep learning for motor decoding , synergy modeling , and humanoid robot control . The Vinjamuri Lab at UMBC involves graduate, undergraduate, and high school researchers, with international collaborations in India and the US.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +5 more

Ling Zhao is a distinguished Professor at the School of Management, Huazhong University of Science and Technology, China, with extensive research contributions spanning artificial intelligence, machine learning, information systems, and biomedical applications. With over 150 publications since 2008, Dr. Zhao has established herself as a leading researcher in multiple interdisciplinary domains, particularly in applying computational methods to solve complex real-world problems. Dr. Zhao's research interests encompass a broad spectrum of cutting-edge topics including artificial intelligence, machine learning, data mining, control systems, and information systems. Her work demonstrates exceptional versatility, bridging theoretical computer science with practical applications in healthcare, transportation, cybersecurity, and business management. Notably, she has made significant contributions to sentiment analysis, medical image processing, algorithmic management, and privacy-preserving data analysis. Her research methodology often combines deep learning approaches with domain-specific knowledge to develop innovative solutions. Analysis of Dr. Zhao's recent publications (2023-2025) reveals a strong focus on interdisciplinary applications of AI, with particular emphasis on healthcare informatics (medical image analysis, disease diagnosis), human-computer interaction (algorithmic management effects), and advanced machine learning techniques (graph neural networks, multimodal learning). Her work shows a consistent trend toward increasingly complex and integrated systems that address real-world challenges across multiple domains. Dr. Zhao has made substantial contributions to academic advising and research mentorship, though specific student names aren't detailed in the available publications. Her research has been supported by various grants enabling work in AI applications, biomedical engineering, and information systems. Dr. Zhao maintains active collaborations with researchers across China and internationally, as evidenced by her co-authorship patterns. While specific laboratory information isn't explicitly mentioned in the publication records, Dr. Zhao appears to lead or be significantly involved in research groups focusing on AI applications in management and healthcare. Her work on medical imaging, sentiment analysis, and control systems suggests involvement in multiple specialized research teams addressing different application domains through computational approaches.

Robert MitchellView profile

Assistant Professor

• Global Rural Education
• Teacher Recruitment and Retention
• Educational Labor Markets
• +3 more

Robert Mitchell is an Assistant Professor and Doctoral Program Coordinator in the Leadership, Research, and Foundations Department at the University of Colorado Colorado Springs (UCCS). He holds a Ph.D. in Global Education from The Ohio State University (2013), an M.A. in History from Northeastern University (2001), and a B.S. in Journalism from University of Colorado Boulder (1992). His research focuses on global rural education, teacher recruitment/retention in remote areas, and educational policy development. Mitchell has collaborated internationally with institutions in Australia, Morocco, Iran, Egypt, Brunei, and Bahrain. Education Background: Ph.D. in Global Education, The Ohio State University (2013) M.A. in History, Northeastern University (2001) B.S. in Journalism, University of Colorado Boulder (1992) Research Interests: Dr. Mitchell explores challenges in global rural education systems, including teacher shortages, workforce sustainability, and policy solutions. He emphasizes cross-cultural collaboration and legislative advocacy to improve rural education outcomes. His work spans international partnerships to develop scalable strategies for educator training and retention. Key Contributions: Co-authored A Practical Guide to Theoretical Frameworks for Social Science Research (2024) Published in journals such as The Rural Educator and Journal of Education Human Resources Presented at conferences including the National Forum to Advance Rural Education and Society for the Provision of Education in Rural Australia Grants & Advising: Mitchell has advised on teacher recruitment initiatives and collaborated with governmental agencies in Massachusetts and Colorado. His research informs legislation to address rural education workforce gaps. Labs/Teams: Active in UCCS’s Leadership, Research, and Foundations department, leading interdisciplinary projects on global rural education challenges.