Find Academic Supervisors

Joseph J. LaViola Jr.View profile

Professor

• Computer Science
• Virtual Reality (VR)
• Augmented Reality (AR)
• +6 more

Joseph J. LaViola Jr. is the Charles N. Millican Professor of Computer Science at the University of Central Florida's Department of Computer Science. He is also affiliated with the Institute for Simulation and Training. His research focuses on 3D user interfaces (3DUI), virtual reality (VR), augmented reality (AR), pen-based computing, human motion estimation, and human-robot interaction. He serves as the director of the Interactive Computing Experiences Research Cluster and has authored influential textbooks like 3D User Interfaces: Theory and Practice . LaViola leads research initiatives in immersive technologies, emphasizing practical applications in gaming, education, and collaborative environments. His work spans gesture interaction design, spatial navigation, and AR/VR system development. He actively mentors students at undergraduate, master's, and Ph.D. levels, encouraging creativity and dedication in research projects. His recent publications explore topics such as redirected walking in VR, dual-camera interactions for smartphone AR, and perceptual studies in immersive environments. He emphasizes bridging academic research with real-world applications, particularly in healthcare, civil engineering, and human-centered systems. LaViola's contributions include advancing gesture recognition techniques, optimizing VR/AR interfaces for accessibility, and fostering interdisciplinary collaboration through his lab and authored tools like AffordIt! and MathPad 2 .

Isabella MaggioniView profile

Associate Professor

• Consumer Behavior
• Marketing Psychology
• Luxury Management
• +5 more

Dr. Isabella Maggioni is an Associate Professor of Marketing and Academic Director of the MSc in Luxury Management at ESCP Business School (Turin campus). Her research focuses on consumer behavior, luxury retail, sustainable consumption, and technology-driven marketing solutions. She has published in leading journals like the Journal of Business Research and European Management Journal , with a strong emphasis on bridging academic theory with industry application. Her work explores how technology (e.g., AI, robotics) shapes consumer experiences, alongside themes like ethical consumption, brand identity alignment, and post-pandemic digitalization in fashion and retail. She collaborates with global organizations to deliver actionable insights on retail innovation and service design. Maggioni’s research often intersects with societal challenges such as climate change and youth engagement in sustainability. Notable contributions include studies on NFTs in luxury markets, neurophysiological responses to retail robotics, and digital servitization strategies for SMEs during crises. Her academic leadership in luxury management education is complemented by expertise in cross-channel consumer behavior and B2B sales automation.

Tony G. ChenView profile

Assistant Professor

• Robotics
• Mechanical Engineering
• Field Robotics
• +3 more

Tony G. Chen is an incoming Assistant Professor at the Georgia Institute of Technology, starting in summer 2025, specializing in mechanical intelligence for robotics applications. Previously, he served as a Postdoctoral Fellow at Harvard University (2024) and holds advanced degrees from Stanford University. His educational background includes: Postdoctoral Fellow, Harvard University, 2024 Ph.D., Stanford University, 2023 M.S., Stanford University, 2020 B.S., Georgia Institute of Technology, 2017 Chen's research pioneers mechanical intelligence—designing physical mechanisms that inherently simplify perception, control, and autonomy challenges in unstructured environments through rapid prototyping and bio-inspiration. His work spans three critical domains: (i) field robotics for developing novel mobility platforms with manipulation capabilities, (ii) dexterous manipulation systems for home and industrial settings, and (iii) biomimetic robotics for biological research. This interdisciplinary approach bridges mechanical engineering and autonomous systems to create inherently robust robotic solutions. As an incoming faculty member, Dr. Chen will establish his research laboratory, mentor graduate students, and pursue major research grants in robotics innovation. His work positions him at the forefront of next-generation robotic systems for real-world deployment.

Richard LewisView profile

Professor

• Cognitive Science
• Linguistics
• Computational Linguistics
• +5 more

Richard Lewis is the John R. Anderson Collegiate Professor of Psychology, Linguistics, and Cognitive Science at the University of Michigan. He directs the Weinberg Institute of Cognitive Science, a hub for interdisciplinary research. His work focuses on computational models of human cognition, particularly language processing architectures, and he co-founded the cognitive science undergraduate major at U-M. Lewis was honored as an Arthur F. Thurnau Professor (2021) for his transformative contributions to undergraduate education. Education: Ph.D., Carnegie Mellon University Research interests span cognitive neuroscience, psycholinguistics, and computational linguistics. His projects investigate how humans process sentences cross-linguistically and adapt predictive models during comprehension. Notable achievements include developing programs that integrate computer science, philosophy, and psychology to study the mind. His articles explore topics ranging from neural noise effects on decision-making to AI's capacity for analogical reasoning. Awards include the Thurnau Professorship, recognizing his dedication to student engagement and curriculum innovation. Lewis advises on interdisciplinary initiatives at the Weinberg Institute and collaborates on projects like icon array communication for public health. His work bridges theoretical models with empirical studies, emphasizing the computational foundations of human cognition.

• Computer Vision
• Machine Learning
• Deep Learning
• +5 more

Dr. Nathanael L. Baisa is a Lecturer in Artificial Intelligence at De Montfort University (DMU), part of the Computing, Engineering and Media faculty within the School of Computer Science and Informatics. His academic career includes roles as a senior research associate at Lancaster University, researcher at AnyVision, and research fellow at the University of Lincoln, focusing on computer vision and machine learning projects funded by ERC, EPSRC, and Innovate UK. Education: PhD in Electrical Engineering (Computer Vision/ML - Heriot-Watt University, 2018) MSc in Computer Vision and Robotics (Erasmus Mundus program, 2013) Research focuses on computer vision applications including object detection, scene understanding, autonomous systems, and biometrics. He leads work on deep learning for visual tracking, hand-based person identification, and robotic perception. He teaches courses like Introduction to Computer Vision and Deep Learning frameworks. His recent publications emphasize vision-language models, multi-object tracking algorithms, and geoscience machine learning applications. He collaborates with the Institute of Artificial Intelligence (IAI) and contributes to interdisciplinary projects in robotics and energy exploration.

• Educational Psychology
• Student Motivation
• STEM Learning
• +4 more

David A. Bergin is a Professor of Educational Psychology at the University of Missouri, specializing in student motivation, STEM learning, and the development of interest. He holds a PhD and an Educational Specialist degree from Stanford University. His work emphasizes understanding how motivation influences academic and informal learning, particularly for underrepresented groups. Bergin is a past president of APA's Division 15 (Educational Psychology) and has contributed to editorial boards of top journals like Journal of Educational Psychology . Research Interests : Bergin investigates how interest and motivation drive learning outcomes, classroom engagement, and career choices. He explores the impact of teacher-student relationships, competition, and cultural factors on student achievement. His recent work includes studies on robotics-based engineering education, interdisciplinary neuroscience curricula, and interventions for underrepresented students. Awards & Recognition : Outstanding College Teaching Award (University of Missouri College of Education, 2018) Fulbright Scholar (2013, teaching motivation courses in Chile) Key Contributions : Co-author of Child and Adolescent Development in Your Classroom (3rd ed.), a widely used teacher-training textbook. He has also developed the Classroom Engagement Inventory and contributed to TIMSS data analysis on international education trends. Advising & Grants : Bergin has advised numerous studies on STEM motivation, low-stakes testing, and college access programs for marginalized students. His grants include funding for neuroscience education initiatives and engineering design learning projects.

Rian MehtaView profile

Associate Professor

• Aviation Safety
• Autonomous Transportation Systems
• Aviation Management
• +3 more

Rian Mehta is an Associate Professor and Associate/Assistant Dean within the College of Aeronautics at Florida Institute of Technology. With a focus on aviation research, he has contributed to areas such as airport operations, Safety Management System (SMS) implementation, and future cockpit design. He is a commercial-rated pilot and has held roles including Assistant Managing Editor for the International Journal of Aviation Sciences . His work bridges academic research with practical aviation challenges, emphasizing human factors, passenger behavior, and automation acceptance in transportation systems. Dr. Mehta’s research spans topics like flight instructor safety behaviors, consumer trust in autonomous vehicles, and factors influencing pilot training success. He has published extensively on aviation safety, passenger perceptions of autonomous air taxis and driverless ambulances, and the psychological aspects of flight students. His studies often employ predictive modeling and mediation analysis to uncover relationships between variables such as risk perception, safety climate, and technology adoption. While no formal awards are listed, his contributions to aviation education and safety frameworks reflect impactful academic engagement. Dr. Mehta collaborates on interdisciplinary projects that address emerging trends in aviation and healthcare technology, including robotic dental services and mobile health app usability. His work underscores the importance of balancing technological innovation with human-centric design considerations.

Anuj SharmaView profile

Professor

• Big Data Analytics in Transportation
• Data-Driven Decision Making
• Traffic Signal Systems
• +3 more

Dr. Anuj Sharma is a Professor in the Department of Civil, Construction, and Environmental Engineering at Iowa State University, serving as Co-Director of the REACTOR Lab and Director of FAST-TrAC. He holds affiliations with InTrans, CTRE, and REACTOR, and is CEO of ETALYC Inc. His research focuses on big data analytics, traffic signal systems, and real-time transportation decision-making. Education: PhD in Civil Engineering, Purdue University, 2008 MS in Civil Engineering, Texas A&M University, 2004 BE in Civil Engineering, Regional Engineering College, Rourkela, India, 2001 Research Interests: Dr. Sharma’s work leverages big data to improve transportation systems, including real-time analytics, traffic signal optimization, and smart rural infrastructure. His lab, REACTOR, integrates multiple data streams for policy and operational decisions. Publications: His recent work spans driver behavior analysis, autonomous systems, and traffic safety, with a focus on data-driven solutions. Notable projects include congestion modeling and pandemic-era traffic adaptations. Awards: Social Analytics Strategic Network (SASNet) Fellow, 2016 Outstanding Reviewer (Journal of Transportation Engineering), 2014 Pikarsky Award for PhD Dissertation, 2008 Grants & Projects: Secured over $13M in funding for 32+ projects, including work on adaptive traffic control, AI-driven data analysis, and rural safety. Active roles in TRB committees and journal reviewing highlight his leadership in the field. Labs & Teams: Leadership at REACTOR Lab drives innovations in transportation data management and real-time systems, collaborating with agencies like Iowa DOT.

Elodie de BOISSIEUView profile

Associate Professor

• Luxury Brand Management
• Technological Innovations in Marketing
• Consumer Behavior in Luxury Contexts
• +3 more

Elodie de Boissieu is an Associate Professor of Marketing at EM Normandie, where she has served since 2020. She holds a PhD in Management Science from the University of Paris-Est (2019), focusing on luxury brand experiences. As Academic Director of the MSc in Digital and Marketing in Luxury and Lifestyle, she oversees graduate programs blending academic rigor with industry insights. Previously, she managed EIML Business School in Paris (2012–2019) and held senior roles in luxury brands like Yves Rocher and LVMH. Education: PhD in Management Science (2019), University of Paris-Est Professional Experience: Over 20 years in luxury marketing, including risk consulting and executive management roles Her research explores technological innovations in luxury marketing, brand heritage, and consumer behavior in high-end contexts. Key themes include blockchain applications in supply chains, social media robot influencers, and luxury brand museums' impact on consumer engagement. Her work bridges academic theory with practical industry challenges, emphasizing France’s 'Made in France' and luxury craftsmanship values. Publications reflect her interdisciplinary focus, addressing topics like blockchain traceability, AI-driven marketing strategies, and cross-cultural perceptions of luxury. She actively contributes to conferences and peer-reviewed journals, emphasizing luxury sector challenges in a digital era.

Hannah Star RogersView profile

Visiting Professor

• Science and Technology Studies (STS)
• Art and Science Intersections
• Bioart
• +3 more

Dr. Hannah Star Rogers is a Visiting Professor at Columbia University, specializing in the intersection of Art and Science. She holds a Ph.D. in Science and Technology Studies from Cornell University and an MFA in Poetry from Columbia University. Her research explores bioart, alternative media, and the historical role of artists in scientific communication, particularly through her work on Berenice Abbott's scientific photography. She has taught at Columbia, Strathclyde University, and the University of Virginia. Education: Ph.D., Cornell University (STS); MFA, Columbia University (Poetry) Affiliations: Columbia University, Emerge: Artists and Scientists Redesign the Future (Director of Research) Research Interests: Rogers investigates how art and science co-construct knowledge systems, focusing on: Curatorial practices in scientific exhibitions Ethical dimensions of bioart and biotechnology Historical intersections between photography and science pedagogy Publications & Exhibitions: Her monograph Art, Science, and the Politics of Knowledge (MIT Press, 2022) examines knowledge production across disciplines. She co-curated the award-winning Making Science Visible exhibit on Berenice Abbott, blending art with scientific communication. Recent articles span Leonardo , Configurations , and SciArt Magazine , addressing topics from nuclear ethics to AI design fiction. Awards: Akademie Schloss Solitude Fellowship (Germany) National Park Service Writing Residencies British Society for the History of Science Exhibit Prize Grants & Leadership: Directed Emerge’s 2016 initiative and served as Guest Bioart Curator (2017). Her projects often involve collaborative science-art teams, emphasizing public engagement with complex scientific issues. Labs/Initiatives: Active in curating interdisciplinary art-science collaborations, including exhibitions on genetic futures and cyborg theory. Leads workshops merging creative writing with scientific inquiry.

Sean HumbertView profile

Professor

• Flight Dynamics and Control
• Bio-inspired Perception and Estimation
• Autonomous Robotics
• +5 more

J. Sean Humbert is a Professor at the University of Colorado Boulder, holding a courtesy appointment in the College of Engineering and Applied Science (AES). He serves as Director of the Robotics Program and Faculty Director for the Aerospace and Defense Western Colorado University Partnership Program. His research focuses on bio-inspired robotics, autonomous systems, and advanced control methodologies. Key research areas include flight dynamics, bio-inspired perception, micro-robotics, and soft robotics. He leads the Robotics and Systems Design group, affiliated with the Hypersonic Vehicles IRT. His work integrates bio-mimetic principles with engineering challenges, emphasizing robust control in unstructured environments. Recent publications span topics like soft robotic actuators, distributed sensing, and neural dynamics in robotics. His lab develops cutting-edge technologies for subterranean exploration, UAV navigation, and bio-inspired sensor systems. Collaborations include industry partnerships and interdisciplinary projects at the intersection of robotics, biology, and control theory. Awards and recognitions are not explicitly mentioned in the provided texts. Sean Humbert’s lab is located at ECES 1B14, with an office in ECES 146. His academic contributions bridge theory and application, addressing real-world challenges in autonomous systems and robotics innovation.

Christian MuiseView profile

Assistant Professor

• Artificial Intelligence
• Automated Planning
• Machine Learning
• +6 more

Christian Muise is an Assistant Professor at Queen's University's School of Computing, part of the Faculty of Arts and Science. He holds a PhD (2014) in Artificial Intelligence from the University of Toronto, where he was advised by Sheila McIlraith and J. Christopher Beck. His research focuses on automated planning under uncertainty, combining planning with learning for applications like goal-oriented dialogue systems and multi-agent coordination. He previously held postdoctoral roles at the University of Melbourne's Agentlab and MIT's CSAIL, and was a Research Staff Member at the MIT-IBM Watson AI Lab. Education: PhD in Artificial Intelligence, University of Toronto (2014) MSc in Computer Science, University of Toronto (2009) BSc in Computer Science, Carleton University (2007) Research Interests: His work bridges automated planning and machine learning, emphasizing robustness in uncertain environments. Key areas include non-deterministic planning, model acquisition with large language models (LLMs), and human-aware planning. He explores applications in healthcare (e.g., treatment response prediction), robotics (autonomous navigation), and dialogue systems for safety-critical domains. Current projects include developing explainable planning systems and mitigating bias in AI decision-making. Awards: Scotiabank Scholar (Scotiabank Centre for Customer Analytics) Advising & Labs: Leads the Mu Lab, supervising PhD and Master's students in topics like model acquisition, dialogue systems, and planning bias. Active in open-source tools (e.g., L2P, MACQ library) to democratize planning research. Collaborates on projects like PRP Rebooted and FixMyPlan to advance FOND planning and LLM integration. Labs/Teams: Mu Lab at Queen’s University, focusing on planning under uncertainty, AI safety, and neuro-symbolic systems.

Christine GustafssonView profile

Professor

• Health and Welfare Technology (HWT)
• Aging in Place
• Care for Older Adults
• +3 more

Christine Gustafsson is a Professor in Health Care Sciences at Sophiahemmet University's Department of Nursing. With over 25 years of academic experience, her research focuses on health and welfare technology (HWT) from user perspectives, particularly addressing aging populations and individuals with intellectual disabilities. She leads projects like iHACT, PROTECT, IN-AGE, and UPSCALE, emphasizing technology's role in enabling independent living and safe aging. Professional roles include Nordic Welfare Technology Research Network management, Forte Research Council board membership, and advisory roles to Sweden's Minister of the Elderly and Demensfonden. Education: Not explicitly detailed in provided texts Her research explores HWT implementation challenges in sparsely populated Nordic regions, emphasizing governance structures and user-centered design. Key projects like IN-AGE develop evaluation instruments for technology-supported independence. She co-created the robotic cat JustoCat and authored influential books on pedagogical approaches in care and welfare technology. Recent work analyzes cost-consequence studies of digital assistive technologies and explores FLASH radiotherapy dosimetry challenges. She consistently bridges clinical practice, policy, and technology through interdisciplinary collaboration.

Glen ChouView profile

Assistant Professor

• Robotics
• Trustworthy Autonomy
• Machine Learning
• +4 more

Glen Chou is an Assistant Professor in the Department of Electrical and Computer Engineering at Georgia Tech. He holds dual B.S. degrees from UC Berkeley (Electrical Engineering & Computer Science and Mechanical Engineering) and M.S./Ph.D. degrees from the University of Michigan (Electrical & Computer Engineering). Prior to Georgia Tech, he was a postdoctoral researcher at MIT CSAIL. Chou directs the Trustworthy Robotics Lab, focusing on algorithms for general-purpose robots and autonomous systems to ensure capability, safety, and resilience in real-world conditions. His research integrates control theory, machine learning, optimization, and formal methods. He emphasizes both theoretical foundations (e.g., proving algorithmic properties) and practical deployment on real robots. Key research areas include trustworthy autonomy, human-robot interaction, and constraint learning from demonstrations. His lab addresses challenges in perception, motion planning, and system reliability through interdisciplinary approaches. Chou has received notable awards including the Robotics: Science & Systems Pioneer (2022), NDSEG Fellowship (2019), and NSF Graduate Fellowship (2019). His work bridges foundational theory with real-world applications, with a focus on safety-critical systems.

Bruno SICILIANOView profile

Professor

• Robotics
• Automation
• Control Systems
• +4 more

Prof. Bruno Siciliano is a full Professor of Automatics and Robotics at the University of Naples Federico II's Department of Electrical Engineering and Information Technology (DIETI). He directs the PRISMA Lab and chairs the Scientific Council of the ICAROS Center. His research focuses on robotics, automation, and human-robot interaction, with notable contributions to medical robotics, deformable object manipulation, and AI integration. He has received prestigious awards such as the 2024 IEEE RAS Pioneer Award and is a Fellow of multiple international organizations. Affiliations: Director, PRISMA Lab Chair, ICAROS Center Scientific Council Member, ACN Technical-Scientific Committee Research Interests: His work spans robotics education, surgical robotics, non-prehensile manipulation, and AI-driven robotic systems. Notably, his projects include the ERC-funded EndoTheranostics initiative for robotic colonoscopy and RoDyMan for dynamic manipulation. His contributions bridge robotics with healthcare, automation, and cognitive systems. Awards & Honors: 2024 IEEE RAS Pioneer in Robotics and Automation Award Genio Award (2024) for pioneering Italian robotics Fellowships: IFAC, IEEE RAS, and international AI associations Grants & Leadership: ERC Synergy Grant (2023, 10M€) and Advanced Grant (2013) Leadership roles in IEEE RAS and international robotics initiatives Labs & Teams: PRISMA Lab focuses on robotics paradigms like design, knowledge, and human-robot interaction, with projects in medical robotics and autonomous systems.