Find Academic Supervisors

• Sustainable Consumption
• Product Design
• Plastic Waste Reduction
• +5 more

Marie Hebrok is a Research Professor at Oslo Metropolitan University's Centre for Welfare and Labour Research – Consumption Research Norway , specializing in sustainable consumption and design research. Her work bridges product design with systemic sustainability challenges through projects like DISCo (digital infrastructures for sustainable consumption), REDUCE (plastic reduction), IMAGINE (sustainable future imaginaries), and LASTING (product durability). Education: Master's in Technology and Science Studies (University of Oslo), PhD in Industrial Design (NTNU) Research Focus : Explores how design interventions can address plastic waste, extend product lifespans, and reimagine sustainable futures via speculative design methods. Key themes include: Systemic design approaches to consumption Digital platform impacts on food practices Consumer-producer lifespan narrative conflicts Sensory methods in sustainability research Green marketing and aesthetic sustainability Recent Trends : 2024-2025 work emphasizes product longevity narratives and food provisioning platform sustainability. Earlier publications (2017-2021) established foundational research in household food waste drivers and design-based intervention points. Collaborations : Works with Nina Heidenstrøm, Henry Mainsah, and multidisciplinary teams across Norway. Involved in exhibitions like The Futures we IMAGINE to visualize sustainable scenarios through design fiction.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +6 more

Prof. Fabio Galasso is a Full Professor in the Department of Computer Science at Sapienza University of Rome, where he heads the Perception and Intelligence Lab (PINLab). His research focuses on fundamental innovation in computer vision and machine learning, with particular emphasis on distributed intelligent systems, perception frameworks, and general intelligence within sustainable and interpretable AI contexts. His research interests span multiple domains of computer vision including video segmentation , motion forecasting , distributed intelligent systems , and shape reconstruction . Galasso's work emphasizes sustainable AI approaches that operate within constrained computational resources while maintaining interpretability and verifiability. His research bridges theoretical foundations with practical applications across retail, smart cities, and industrial settings. His recent publications demonstrate a clear progression toward increasingly complex human motion understanding and forecasting, with a strong emphasis on real-world applications. The research trajectory shows movement from foundational video segmentation techniques toward sophisticated motion prediction systems and anomaly detection frameworks that integrate multiple modalities. Key themes include temporal consistency, computational efficiency, and practical deployability in resource-constrained environments. His scientific achievements have been recognized with prestigious awards: 2019 IoT/WT Innovation World Cup 2019 Digital Champions Award 2018 Deutscher Digital Award Galasso has coordinated significant research initiatives including a Marie Sklodowska-Curie Actions project (Horizon 2020) and served as Principal Co-Investigator in multiple German-funded projects from the Ministry of Education and Ministry of Economics. His industry experience includes founding and directing OSRAM's Computer Vision Department in Munich, where he led R&D efforts connecting AI research with smart lighting applications, resulting in successful innovation transfers like the award-winning VISN product. He leads the Perception and Intelligence Lab (PINLab) at Sapienza University of Rome, fostering research that spans fundamental computer vision techniques to practical implementations in retail, smart cities, and industrial applications. The lab maintains strong connections with both academic institutions (including previous collaborations with University of Cambridge and Max Planck Institute) and industry partners.

• robot control
• robotic manipulation
• dual arm manipulation
• +7 more

Yiannis Karayiannidis is a Senior Researcher (equivalent to Associate Professor/Research) with the Division of Systems and Control (SYSCON), Department of Electrical Engineering at Chalmers University of Technology. He maintains a significant affiliation with the Department of Robotics, Perception and Learning at KTH Royal Institute of Technology, demonstrating his cross-institutional impact in the Swedish robotics community. Dr. Karayiannidis earned his Diploma in Engineering in 2004, followed by a Ph.D. in Engineering in 2009, and achieved Docent status in 2017. His academic journey has focused on robotics and control systems, establishing him as a leading researcher in these fields. His primary research interests span robot control, robotic manipulation in human-centered environments, dual arm manipulation, force control, robotic assembly, control of physical human-robot interaction, multi-agent robotic systems, adaptive control and nonlinear control systems. Dr. Karayiannidis has made significant contributions to the understanding of deformable object manipulation, contact-rich robotic tasks, and human-robot collaboration. His work bridges theoretical control systems with practical robotic applications, particularly in scenarios requiring precise physical interaction. Analysis of his recent publications reveals a strong focus on advanced manipulation techniques, particularly for deformable linear objects, and human-robot collaborative tasks. His research increasingly incorporates machine learning approaches, especially reinforcement learning, to address complex manipulation challenges. There is also a clear emphasis on practical applications in industrial settings, with several projects related to robotic assembly and cable routing. Dr. Karayiannidis serves as Associate Editor for the IEEE Robotics and Automation Letters, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), and the European Control Conference. He is also the treasurer of the IEEE Robotics Chapter in Sweden and a WASP-affiliated researcher. He has served as Principal Investigator for multiple research projects including DARMA and DARMA_bridge (funded by WASP), CHROMA (funded by VR), and the H2020 SARAFun project. His current projects include "Learning & Understanding Human-Centered Robotic Manipulation Strategies" (2020-2025), "Computer Vision and Machine Learning for Robot Systems" (2019-2021), and "ViMCoR" (2019-2021) in collaboration with Volvo Group. Dr. Karayiannidis is actively involved in the robotics research community through his editorial roles and project leadership. His work connects theoretical control systems with practical robotic applications, particularly in industrial and human-robot collaborative settings.

Nathir RawashdehView profile

Assistant Professor

• Image Processing
• Autonomous Vehicles Perception
• Mobile Robot Applications
• +7 more

Nathir Rawashdeh is an Assistant Professor in the Department of Applied Computing at Michigan Technological University , with an affiliated appointment in Electrical and Computer Engineering . He is a Senior Member of the IEEE and a member of the Institute of Computing and Cybersystems (ICC) and Great Lakes Research Center . Education: Ph.D., Electrical Engineering, University of Kentucky, 2007 MS, Electrical and Computer Engineering, University of Massachusetts, Amherst, 2003 BS, Electrical Engineering, University of Kentucky, 2000 Dr. Rawashdeh's research focuses on unmanned vehicle perception , image analysis , control systems , and mechatronics , with applications in autonomous driving, winter weather adaptation, and industrial automation. His work includes sensor fusion, deep learning, and AI-enhanced manufacturing solutions. Recent publications highlight advancements in winter weather autonomous driving , UV disinfection robotics , and AI-driven industrial inspection systems . His research spans mechatronics curriculum development, industry 4.0 integration, and cross-cultural educational initiatives. Scientific Awards: Senior Member of the IEEE Dr. Rawashdeh has secured over $2 million in funding from organizations including the NSF , Ford Motor Co. , NIST , and the European Commission . His grants support projects like GPU clusters for research, winter weather autonomous driving standards, and UV sterilization robotics. He leads the Mobile Robotics Lab at Michigan Tech, focusing on collaboration and innovation in autonomous systems and mechatronics research.

Erik GilbertView profile

Professor

• Global History
• Indian Ocean Trade
• East African Studies
• +7 more

Erik Gilbert is a Professor of History and Phi Alpha Theta Advisor at Arkansas State University's Beck College of Sciences & Mathematics. His work bridges global history with regional expertise in the Indian Ocean world and East Africa. Ph.D. in History from Boston University (1997) M.A. in History from the University of Vermont (1990) B.A. in Greek from William and Mary (1986) His research interrogates the interplay between commodity flows and cultural exchange, focusing on rice cultivation, maritime trade networks, and the socio-political dynamics of Indian Ocean port cities. He critically examines the structural failures of modern higher education systems. Recent publications highlight trends in Indian Ocean material culture, rice domestication, and colonial trade economies. His work combines phylogenetic analysis with historical methodology to trace agricultural pathogens and economic networks. College of Humanities and Social Sciences Research Award (2004-05) AIYS/NEMERTA Fellow (1994) Fulbright Fellow (1994) A dedicated advisor, Gilbert has shaped academic programs through editorial and curriculum development work. Contact him at egilbert@AState.edu in Humanities & Social Sciences Building, Room 2059.

• Work and Organizational Psychology
• Human-Robot Interaction
• Social Exclusion Dynamics
• +5 more

Professor Günter Maier is a distinguished academic in Work and Organizational Psychology at Bielefeld University, Germany, situated within the Faculty of Psychology and Sport Science, Department of Psychology (Unit 10 - Work and Organizational Psychology). He maintains dual affiliations with the Department of Psychology and the Research Institute for Cognition and Robotics (CoR-Lab), reflecting his interdisciplinary approach bridging psychology with robotics and artificial intelligence. His academic journey began with a Diploma (MSc) in Psychology from LMU Munich in 1992, followed by a summa cum laude Doctorate in 1996. After positions as Research Assistant, Scientific Associate, and Assistant Professor at LMU Munich, he joined Bielefeld University as Professor in Work and Organizational Psychology in 2003, where he continues his tenure. His research spans human-robot interaction dynamics, leadership behavior, corporate social responsibility, and AI implementation in workplace contexts. Professor Maier's research reveals fascinating asymmetries in human social responses to robots versus humans, demonstrating that exclusion by robot coworkers hurts less while inclusion by human coworkers satisfies more. His work on leadership examines daily behaviors and their impact on leader well-being through team identification, while his CSR research investigates relationships with employee green behavior and potential negative consequences. His recent publications increasingly focus on AI ethics in personnel selection, healthcare scheduling, and resource allocation. Methodologically, he has pioneered AI-assisted research tools, developing techniques for creating AI-generated images for vignette studies and evaluating GPT models for qualitative data analysis. His work aligns with Bielefeld University's strategic research area of the Socio-Technical World, investigating how humans, robots and AI interact in complex environments. As an educator, Professor Maier teaches across multiple Work and Organizational Psychology modules, including Basic and Advanced Applied Subject courses and Project Modules in Work, Organizational and Social Psychology. His teaching reflects his research interests, preparing students for technology-integrated workplaces through modules like 27-AF-AO1, 27-AF-AO2, and 27-AP-ProjectAOS.

Benoit DelhayeView profile

Professor

• Tactile Neuroscience
• Biomechanics of Skin Deformation
• Haptics
• +3 more

Benoit Delhaye is a Professor at Universite catholique de Louvain , affiliated with the Louvain Polytechnic School (EPL) and Mathematical Engineering Center (INMA) . His research bridges tactile neuroscience and biomechanics to understand how tactile receptors encode object information and how the brain uses these signals for dexterous manipulation. He also contributes to Institute Of NeuroScience (IoNS) . Email: benoit.delhaye@uclouvain.be Email: delhayeben@gmail.com His research focuses on three main areas: Tactile Signal Processing : Analyzing skin deformation patterns during object interactions using advanced imaging and computational models Neuroprosthetic Applications : Developing biomimetic afferent response simulations for bionic hand feedback systems Haptic Perception : Investigating how tactile receptors encode friction, slip, and edge orientation The articles demonstrate his contributions to understanding: tactile mechanics (6 papers), grip force adaptation (4 papers), skin strain patterns (5 papers), and neuroprosthetic simulations (3 papers). Key 2024 publications include collagen-induced anisotropy analysis and 3D fingertip deformation modeling. Benoit's technical innovations include: TouchSim - A MATLAB package for simulating tactile afferent responses Open-source instrumented objects for manipulation studies Advanced skin deformation measurement systems His collaborative network spans institutions in Belgium, the USA, and Germany, working with researchers in Philippe Lefevre 's and Jean-Louis Thonnard 's labs. Current teaching includes LEPL1506 Project and LGBIO2110 Clinical Engineering courses.

Franc SolinaView profile

Professor

• Computer Vision
• Human-Computer Interaction
• 3D Documentation
• +6 more

Franc Solina is a Full Professor at the Faculty of Computer and Information Science , University of Ljubljana, Slovenia. He holds a Ph.D. from the University of Pennsylvania and has been active in academia since the 1990s. Education: Dipl.Ing. (1979) and M.S. (1982) in Electrical Engineering, University of Ljubljana Ph.D. (1987) in Computer and Information Science, University of Pennsylvania Research Interests: His work spans Computer Vision (superquadric modeling, underwater archaeology documentation), Human-Computer Interaction (interactive art installations, sign language technology), and Air Transport Applications (machine learning for aircraft trajectory prediction). He also explores Color-Based Applications and Visual Expression in art-technology intersections. Publication Trends: Franc's 15 most recent articles focus on superquadric modeling (1990-2004), underwater archaeology (2013-2015), and machine learning applications (2020). His work bridges theoretical computer vision with practical implementations in art and aviation. Students: He has supervised notable students like Marko Hrastovec (2018 thesis on aircraft trajectory prediction) and Tim Oblak (2020 work on superquadric deep learning). Labs & Teams: A key member of the University of Ljubljana's Computer Vision Laboratory , he collaborates with international researchers in projects like the Slovenian sign language web dictionary and air traffic safety initiatives .

• Environmental Economics
• Climate Policy
• Emissions Trading
• +5 more

Toshihide Arimura is a Professor at the Faculty of Political Science and Economics, Waseda University, specializing in Environmental Economics, Climate Policy, and Carbon Pricing. His research bridges economic policy with environmental sustainability, focusing on emissions trading schemes, energy efficiency, and policy evaluation in both industrial and municipal contexts. He holds a Ph.D. in Economics from the University of Minnesota and has served in leadership roles such as President of the Society for Environmental Economics and Policy Studies (2022–2025). Alma Mater: University of Minnesota (Ph.D. in Economics), University of Tsukuba (M.S. in Environmental Science), University of Tokyo (B.A. in History of Science) Research Interests include Emissions Trading Schemes, Carbon Pricing, Climate Change Economics, Trade and the Environment, PM2.5 mitigation, and voluntary corporate environmental actions. He employs computable general equilibrium modeling, econometric analysis, and field experiments to assess policy impacts on energy consumption and economic performance. Article Trends (15 most recent) reveal a focus on carbon neutrality strategies (EU CBAM analysis), municipal green procurement (Tokyo case studies), household energy behavior (air conditioner rebound effects), and industrial policy evaluation (Tokyo ETS impact on manufacturing). His work often integrates economic modeling with empirical data to address climate challenges. Scientific Awards include: The Ichimura Prize in Science against Global Warming (2023) SEEPS Commentary Award (2021) Environmental Science Society Paper Award (2020) SEEPS Outstanding Publication Award (2018) SEEPS Young Achievement Award (2012) Committee Memberships span the Science Council of Japan (2023–), Tokyo Metropolitan Environment Council (2019–2025), and Central Environment Council (2010–2012), with expertise in carbon pricing and emissions trading. He has advised government bodies on environmental tax reforms and energy policy.

Ravin BalakrishnanView profile

Professor

• Human-Computer Interaction
• Interactive Computer Graphics
• Information and Communications Technology for Development
• +3 more

Ravin Balakrishnan is a Professor in the Department of Computer Science at the University of Toronto, where he co-directs the Dynamic Graphics Project (DGP) laboratory. He served as department chair from 2015-2019 and holds a Canada Research Chair in Human-Computer Interaction. His research focuses on developing novel interaction techniques for emerging technologies. His primary research interests include: Human-Computer Interaction (HCI) with emphasis on gesture recognition and tangible interfaces Interactive computer graphics and 3D interaction techniques Information and communications technology for developing regions Novel input devices and interaction paradigms for VR/AR systems Balakrishnan's recent publications demonstrate strong focus on multimodal interaction systems, with recurring themes in haptic feedback, gesture-based controls, VR/AR interfaces, and mobile interaction techniques. His work frequently bridges theoretical models with practical applications in real-world systems. His significant honors include: Elected to ACM CHI Academy (2011) Alfred P. Sloan Research Fellowship (2007) Canadian Human Computer Communications Society Achievement Award (2020) Multiple best paper awards at top HCI conferences (CHI, UIST, CSCW) Balakrishnan has advised over 40 graduate students and postdoctoral fellows, maintaining an active research group at the Dynamic Graphics Project lab. His work has been supported by grants from NSERC, SSHRC, and industrial partners, with research commercialized through several startups including Bump Technologies (acquired by Google). He collaborates internationally with research labs including Microsoft Research, INRIA, and Mitsubishi Electric Research Laboratories, and has served as program chair for major conferences including ACM UIST and Graphics Interface.

Dieter HofmannView profile

Professor

• Industrial Design
• Product Design
• System Design
• +7 more

Dieter Hofmann is a Professor of Industrial Design and Product and Systems Design at the Burg Giebichenstein Art Academy (BURG) in Halle, Germany, where he has been teaching since 2003. He served as the rector of BURG from 2014 to 2022. His academic background includes mechanical engineering studies at the Nuremberg University of Applied Sciences (1988-1993) and capital goods design at the Stuttgart State Academy of Fine Arts (1993-1996). He has international experience as a visiting professor at IDAS Seoul, Korea (1996-1997) and as a professor at the National University of Tsukuba, Japan (1999-2001). His research and teaching focus spans multiple areas of industrial design with particular emphasis on: Human-centered design for everyday objects and spaces Intercultural design approaches Medical device and assistive technology design Sustainable product development Surface and material innovation Hofmann's current work explores unconventional design contexts, most notably his 2025 Summer Semester course "Restroom - Design for the culture of relieving oneself," which examines the cultural, ergonomic, and sustainability aspects of sanitation design. His approach integrates historical, philosophical, psychological, and cross-cultural perspectives to address design challenges that are often overlooked in mainstream product design. His recent publications reflect a trend toward addressing socially relevant design challenges with innovative solutions, particularly in public spaces and healthcare contexts. Hofmann emphasizes the importance of material innovation, user experience, and cultural sensitivity in creating products that serve diverse populations. Hofmann has received recognition through numerous industry collaborations with partners including Toi Toi Dixi (portable sanitation), Medi (medical technology), and GERA Leuchten (lighting design). His work often bridges academic research with practical industry applications. As an advisor, Hofmann has mentored numerous students through complex design projects, guiding them through research, concept development, and prototyping phases. His teaching methodology emphasizes experiential learning through excursions, workshops, and direct industry engagement. Hofmann also operates eDesign, a consultancy that advises companies on intercultural design issues and develops capital goods and products across multiple sectors including public communication, machine tools, medical and laboratory technology, sports equipment, household appliances, and personal care products.

Kartic SubrView profile

Senior Lecturer

• Computer Graphics
• Monte Carlo Rendering
• Physics-based Simulation
• +13 more

Kartic Subr is a Senior Lecturer (equivalent to Associate Professor) in the School of Informatics at the University of Edinburgh, where he conducts research at the intersection of computer graphics, machine learning, and robotics. He is affiliated with the Institute of Perception, Action and Behaviour and leads an active research group in physics-aware simulation and AI for scientific discovery. His research interests span Computer Graphics , Monte Carlo Rendering , Physics-based Simulation , Machine Learning , Robotics , and Computational Biology . He has made significant contributions to rendering theory, light transport analysis, BRDF modeling, and simulation of fluids and fractures. Recently, his group has applied deep learning to protein design, achieving notable success in international competitions. The recent publications reflect a strong trend toward interdisciplinary research, combining computer graphics with AI and biology. Key themes include explainable AI for physics-aware interfaces (e.g., CueTip), neural rendering (NeRF), protein design with CNNs, and reward learning in robotics. His group regularly publishes in top venues such as SIGGRAPH, NeurIPS, and IEEE RA-L. Royal Society University Research Fellowship (2014–2024) Lead, GCRF Impact Accelerator (2019) Lead, EPSRC First Grant (2017) Royal Society Challenge Grant (2016) Royal Society Newton International Fellow (2010) Marie-Curie Visitor (2006) Best Paper Honorable Mention, I3D 2012 Best Paper, I3D 2011 Kartic Subr actively supervises PhD students and postdocs, including Leonardo Castorina, Zhiyuan Zhang, and Kevin Denamganaï. Former students have gone on to positions at DeepMind, University of Edinburgh, and industry. He has secured multiple grants, including from the Royal Society and EPSRC. His research group collaborates across disciplines, particularly with biological sciences on protein design. He leads projects on approximate physics for robotics, protein design via deep learning, and interactive rendering systems. The group has developed frameworks like TIMED for de novo protein design and tools for explainable physics-aware assistants.

• Human-Robot Interaction
• Machine Learning
• Robotics
• +3 more

Parag Khanna is a Doctoral Student at the Division of Robotics, Perception and Learning , KTH Royal Institute of Technology. His work focuses on Human-Robot Interaction (HRI) , particularly in developing adaptive techniques for robot-human handovers. University: KTH Royal Institute of Technology Department: Robotics, Perception and Learning Khanna's research explores physical and social aspects of HRI . He studies human-human handovers to improve robotic grip release strategies and object weight adaptation. His work also delves into non-touch modalities like EEG and gaze tracking for intention detection. His recent publications highlight advancements in data-driven control , failure explanations , and multimodal datasets for HRI. Notable works include the REFLEX Dataset and studies on adaptive grip release in human-robot collaborations. Key Research Areas: Human-Robot Handovers Machine Learning for Robotics EEG and Gaze-Based Intention Detection Failure Communication in Social HRI Khanna is affiliated with the Digital Futures - Advanced Adaptive Intelligent Systems project, aiming to empower elderly and disabled individuals through autonomous robotics.

Neil ThurmanView profile

Professor

• Digital Journalism
• Online Journalism
• News Automation
• +5 more

Dr. Neil Thurman is a Professor at Ludwig Maximilian University of Munich and a Senior Honorary Research Fellow at City, University of London. His career spans over two decades in digital journalism, focusing on news production and consumption in the internet era. He has held leadership roles in academic programs like the Erasmus Mundus Master's in Journalism and directed research initiatives on media automation, personalization, and audience behavior. Neil's research explores the impact of AI and social media on journalism, with a focus on automated newsgathering, content personalization, and audience analytics. His work has been honored with four 'Best Paper' awards at the International Symposium on Online Journalism (2006–2009). He has published extensively on live blogging, computational journalism, and ethical challenges in digital media. His recent publications highlight trends in news automation and AI ethics audience perception of algorithmic content streaming platform influence on media choices cross-border media consumption regulatory challenges in digital spaces journalistic principles in multiplatform environments Scientific Awards : Top Paper, International Symposium on Online Journalism (2006–2009) Staff Research Prize, City University London (2007) Award for Distinguished Contributions to Teaching and Learning (2001) Silver Apple Award (1995) As an external examiner and academic leader, Neil has shaped journalism education globally. He mentors PhD candidates and collaborates with institutions like Google, Reuters Institute, and the BBC. His work bridges theory and practice, influencing both scholarly and industry standards.

• Reinforcement Learning
• Safe AI
• Artificial Intelligence
• +7 more

Javier García is a faculty member at the University Carlos III of Madrid, affiliated with the Department of Computer Science within the School of Engineering. His research lies at the intersection of artificial intelligence, reinforcement learning, and robotics, with a strong emphasis on safety, transferability, and real-world applications. His research interests include: Safe and robust reinforcement learning Transfer and multi-task learning in AI Adversarial attacks and defenses in deep RL Automated planning and decision-making under uncertainty Applications in social assistive robotics and financial systems The recent trend in his publications shows a focus on formalizing similarity between decision-making tasks, improving robustness against corrupted rewards and adversarial policies, and applying AI techniques to domains such as geriatric care and automated market making. His work often involves collaboration with Fernando Fernández and other researchers in Spain. He has contributed significantly to frameworks like CLARC for comprehensive geriatric assessment using robots, and has developed tools such as TIMIPLAN for transportation tasks. His research bridges theoretical AI with practical deployment in cognitive robotics and business simulators. Notable scientific contributions include a comprehensive survey on safe reinforcement learning (JMLR 2015), foundational work on policy reuse, and the development of taxonomies for MDP similarity. He has secured research funding through collaborative projects, though specific grants are not detailed in the provided text. He has advised several students and junior researchers, evident from co-authored publications, though specific names are not listed. He is part of research teams working on lifelong learning technologies and cognitive robot systems.