Find Academic Supervisors

• Biomedical Engineering
• Neuroscience
• Neural Engineering
• +6 more

Hayriye Cagnan is a Senior Lecturer (Associate Professor) in the Department of Bioengineering at Imperial College London’s Faculty of Engineering. She specializes in neural engineering and movement disorders, focusing on deep brain stimulation (DBS) and tremor pathophysiology. Her research integrates computational modeling, signal processing, and clinical neuroscience to develop adaptive neurotherapies. Cagnan holds a Ph.D. in Neuroscience from the University of Amsterdam and Philips Research, and has held postdoctoral positions at the University of Oxford and University College London. Education: B.Sc. in Electrical and Electronics Engineering (Cornell University, 2000–2004) – Fulbright Scholar M.Sc. in Engineering and Physical Science in Medicine (Imperial College London, 2004–2005) – Chevening Scholar Ph.D. in Neuroscience (University of Amsterdam/Philips Research, 2010) Research Interests: Her work addresses neural mechanisms underlying Parkinson’s disease, essential tremor, and other movement disorders. Key areas include: Development of adaptive DBS systems for tremor management Neural circuit dynamics and oscillations in basal ganglia networks Non-invasive neurostimulation techniques (e.g., TMS, tRNS) Machine learning for optimizing neurotherapeutic interventions Publications: Recent work emphasizes closed-loop systems, phase-specific stimulation, and translational neuroscience. Her studies explore how DBS modulates movement speed, reward processing, and neural oscillatory patterns in Parkinsonian patients. Awards: MRC Career Development Award (2018) MRC Skills Development Fellowship (2015) British Chevening Scholarship (2004) Lab & Collaboration: Leads the Neuroengineering and Dynamic Systems Lab at Imperial, collaborating with clinicians and engineers to advance neuromodulation therapies. Active in initiatives like NEUROMOD+ for next-generation neurotherapies.

• Biomedical Engineering
• Electrical Impedance Tomography (EIT)
• Medical Device Design
• +6 more

Professor Alistair McEwan, affiliated with the University of Sydney's School of Biomedical Engineering, specializes in biomedical devices and instrumentation for neurological and cardiovascular diagnostics. As the Cerebral Palsy Chair of Technology and Engineering and Associate Head (External Engagement), he focuses on low-cost medical solutions for resource-limited settings, including neonatal care and stroke detection. His research bridges biophysics and clinical translation, with applications in electrical impedance tomography, wearable sensors, and neuroprosthetics. PhD from University of Oxford Member of the Sydney Nano Institute, Brain and Mind Centre, and Charles Perkins Centre His work explores how tissue electrical properties can enhance understanding of neural signaling and implant design. Clinical collaborators include the Bill & Melinda Gates Foundation for newborn nutrition monitoring. Recent projects involve AI-assisted critical care modeling, bionic devices for stress measurement, and adaptive control systems for neonatal resuscitation equipment.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +4 more

Jörg Müller is a Professor in the Department of Computer Science at the University of Bayreuth, Germany. His research focuses on Human-Computer Interaction (HCI), Virtual Reality (VR), and Augmented Reality (AR), with a strong emphasis on interaction techniques, public displays, and multimodal interfaces. He has held academic positions at multiple institutions including Aarhus University, HIIG, and RWTH Aachen University. His work spans technical contributions in haptic interfaces, biomechanical modeling, and user behavior analysis in VR environments. Notable projects include OptiTrap for acoustic levitation displays, SIM2VR for biomechanical testing in VR, and the boomRoom system for mid-air sound interaction. Müller collaborates extensively with industry partners like Telekom Laboratories and Siemens. Research interests include: interaction design for immersive environments, embodied interaction, and the social impact of extended reality technologies. His publications demonstrate leadership in CHI, UIST, and IEEE Visualization venues, with over 120 peer-reviewed articles since 2006. Current research priorities include optimizing VR workspace ergonomics, developing tactile feedback systems for mid-air interaction, and exploring public display networks for urban environments. Müller leads the Interactive Systems group at Bayreuth, supervising PhD students in VR engineering and spatial computing.

Enzo MastinuView profile

Associate Professor

• Biomedical Engineering
• Prosthetics and Neuroprosthetics
• Embedded Systems
• +4 more

Enzo Mastinu is an electronic engineer specialized in embedded systems for biomedical applications, holding an Associate Professor qualification in Bioengineering. He earned his bachelor's and master's degrees in electronic engineering from the University of Cagliari and a PhD in biomedical signals and systems from Chalmers University of Technology, Sweden. His research focuses on advanced prosthetics and neuroprostheses for upper limb amputations, incorporating embedded systems design, control algorithms, sensory feedback, signal processing, AI, and osseointegration. Key projects include the HAND and HAND2 initiatives, funded by the EU and the Italian Ministry of Research, aiming to develop semi-autonomous prosthetic hands. He has published 25 journal articles (75% in Q1) and 21 conference papers, contributing to a PCT patent. Mastinu is a Senior Member of IEEE EMBS and RAS, reviews for ~90 journals/conferences, and edits Transactions on Medical Robotics and Bionics (IEEE) and Scientific Data (Nature). He has supervised ~40 students across PhD, master's, internships, and postdocs, and teaches courses in biomedical engineering and STEM education. His scientific awards include the Marie Skłodowska-Curie Fellowship (2021), National Qualification as Associate Professor (2024), and a Young Researcher Grant (2025). Research emphasizes clinical implementation of prosthetics with neural feedback and intuitive control, as highlighted in high-impact journals like the New England Journal of Medicine.

Elena PanteleyView profile

Researcher

• Nonlinear Control Systems
• Networked Systems
• Multi-Agent Systems
• +5 more

Elena Panteley is a Research Director at the CNRS and a member of the Laboratoire des Signaux et Systèmes (L2S) at CentraleSupélec. She holds a PhD in Applied Mathematics from Saint Petersburg State University (1997) and has extensive experience in research, including roles at the Institute of Problems in Mechanical Engineering, Russian Academy of Sciences (1986–1998). She co-chairs the International Graduate School of Control at the European Embedded Control Institute (EECI-IGSC) and serves as a Book-reviews Editor for Automatica and Associate Editor for IEEE Control Systems Letters . Education: PhD in Applied Mathematics, Saint Petersburg State University, 1997 MSc/BSc in relevant fields (implied by career progression) Research Interests: Focuses on stability and control of nonlinear dynamical systems, networked systems, multi-agent systems, and their applications. Her work emphasizes robust control, consensus algorithms, synchronization, and distributed control strategies for autonomous systems. She explores theoretical frameworks like Lyapunov methods and adaptive control, with practical applications in robotics and communication networks. Publications: Over 100 peer-reviewed articles in top journals like IEEE Transactions on Automatic Control and Automatica . Recent trends include advancements in consensus algorithms for multi-agent systems, synchronization of nonlinear oscillators, and control under communication delays. Awards: No specific awards mentioned, but contributions to control theory and networked systems are widely recognized. Grants/Advising: Leads research on adaptive control, network synchronization, and robotics. Collaborates internationally and advises on projects involving autonomous vehicles and distributed systems. Labs/Teams: Active in L2S and affiliated with CNRS, contributing to teams like MODESTY, COMEDY, and SYCOMORE. Engaged in transverse research on energy, industry automation, and healthy systems.

• Microelectronics
• Analog/RF/Mixed-Signal Circuits
• Digital Integrated Circuits
• +3 more

Dr. Vishnu Unnikrishnan is an Assistant Professor at the Department of Electrical Engineering, Tampere University, within the Faculty of Information Technology and Communication Sciences. His research focuses on energy-efficient high-performance analog/digital/RF integrated circuits and systems in nanometer-scale CMOS technologies. Key areas include time-based data conversion, high-speed serial links, and 5G/6G wireless transceivers. He leads research on analog interfaces using digital/switch components and collaborates with the SoC Hub ecosystem to bridge academic and industrial interests in system-on-chip design. He has secured significant funding, including an EU Marie Curie ITN grant (SMArT) worth €818k and an Academy of Finland Project (2021) of €821k. His work spans over 40 peer-reviewed publications, emphasizing innovations in time-based ADCs, beamforming receivers, and RF system design. Dr. Unnikrishnan actively supervises doctoral and postdoctoral researchers, offers paid master's theses and summer jobs in IC design, and collaborates with industry through the SoC Hub. His research aims to advance cross-technology portable analog interfaces and high-performance mixed-signal systems.

Melody BaglioneView profile

Professor

• Sustainability in Engineering
• Control Systems
• STEM Education
• +6 more

Professor Melody Baglione is a Professor and George Clark Chair of Mechanical Engineering at The Cooper Union's Albert Nerken School of Engineering. She holds a PhD and M.S.M.E. from the University of Michigan and a B.S.M.E. from Michigan Technological University. Her work focuses on integrating sustainability into engineering education, control systems, and STEM outreach for children with special needs. She leads NSF and NYSERDA-funded projects to enhance energy efficiency in building systems and developed the Interactive Light Studio to promote STEM engagement. Education: Ph.D. & M.S.M.E (University of Michigan), B.S.M.E (Michigan Technological University) Research interests include sustainable control systems, automotive powertrain optimization, structural dynamics, and educational technology for underserved youth. Her awards include the NSF Graduate Research Fellowship and SAE Ralph R. Teetor Educational Award. She teaches courses such as Feedback Control Systems and Acoustics, Vibration, and Noise Control. Recent projects involve optimizing HVAC systems in 41 Cooper Square (LEED Platinum), designing interactive installations for pre-K students with hearing impairments, and advancing energy master planning for academic buildings.

Aixin HouView profile

Professor

• Microbial Ecology
• Biogeochemistry
• Water Quality
• +4 more

Aixin Hou serves as Professor and Shell Professor in Oceanography/Wetland Studies within the Department of Environmental Sciences at Louisiana State University, specializing in microbial ecology, biogeochemistry, and water quality dynamics in coastal and wetland ecosystems. Her work addresses critical environmental challenges including oil spill impacts, hurricane-related contamination, and climate change effects on vulnerable habitats. Her academic credentials include: B.S.Sc. Microbiology, Peking University, China, 1989 Ph.D. Microbiology, Chinese Academy of Sciences/Ghent University, Belgium, 1997 Dr. Hou's research integrates field studies and laboratory analyses to investigate microbial community responses to anthropogenic disturbances. Key areas include hydrocarbon degradation in oil-impacted marshes, greenhouse gas fluxes from peatlands under freeze-thaw cycles, and nutrient cycling in reclaimed coastal zones. Her methodologies combine molecular techniques with ecosystem-scale observations to assess recovery trajectories and resilience mechanisms. Her publication record demonstrates sustained focus on Deepwater Horizon spill consequences, revealing multi-year recovery patterns in Gulf Coast salt marsh biota and sediment chemistry. Parallel work in Northeast China examines climate feedback loops through methane emissions from thawing permafrost wetlands, while studies in the Yellow River Delta explore invasive species adaptation under combined hydrological and salinity stress. Her distinguished honors comprise: Tiger Athletic Foundation Teaching Award, Louisiana State University (2015) The Rana Athar Memorial Lectureship, Florida A&M University (2015) Pearson Sustainable Solutions Award (2009) Tiger Athletic Foundation Teaching Award, Louisiana State University (2009) Phi Kappa Phi Non-tenured Faculty Award (2006) Eco-Frontier Fellowship, Japanese Environmental Agency (1998, 1999) DIAO Distinguished Research Award, Chinese Academy of Sciences (1996, 1997) NOVO Excellent Graduate Award (1996) While specific grant details and advisee information are not documented in available materials, her extensive collaborative publications indicate active research funding and mentorship across international institutions. Dr. Hou directs field investigations spanning the Gulf of Mexico, Yellow River Delta, and Northeast China peatlands, employing teams that bridge microbiology, biogeochemistry, and remote sensing to advance wetland conservation science.

• Control Systems
• Machine Learning
• Robotics
• +6 more

Marko Tanasković is a researcher at Singidunum University's Faculty of Informatics and Computing, specializing in control systems, robotics, and electrical engineering. He holds a PhD from ETH Zurich (2015) in Information Technology and Electrical Engineering, following degrees from University of Belgrade (BEng, 2009) and ETH Zurich (MEng, 2011). His research focuses on adaptive control systems, machine learning applications in engineering, and sensorless motor control. Key contributions include: Development of predictive algorithms for traffic systems and industrial automation Innovations in rotor orientation determination for PMSM motors Integration of AI in fraud detection and building climate control Recent work includes a 2024 study on wearable health monitoring devices and a 2022 paper on drone forensics. He has authored/co-authored over 15 peer-reviewed articles and holds patents in motor control technologies. Current affiliations include Singidunum University's Department of Electrical Engineering and Collaboration with ETH Zurich alumni networks. Active in international conferences such as Sinteza and IEEE events.

• Computational Neuroscience
• Machine Learning
• Artificial Intelligence
• +5 more

Rui Ponte Costa is an Associate Professor at the University of Oxford's Department of Physiology, Anatomy & Genetics (DPAG). He leads the Neural & Machine Learning group, focusing on computational models of learning in the brain by integrating AI principles. His research emphasizes cortical circuits, neuromodulation, and subcortical regions to understand credit assignment mechanisms. He holds a PhD in Computational Neuroscience and Machine Learning from the University of Edinburgh and has held postdoctoral positions at the University of Oxford, University of Bern, and McGill University. His group's work bridges theoretical and experimental neuroscience, collaborating with institutions like MILA and Google DeepMind. Education: Bachelor's in Computer Science, University of Coimbra (Portugal) PhD in Computational Neuroscience, University of Edinburgh (UK) Research Interests: Neural mechanisms of learning and plasticity Machine learning inspired by biological systems Cerebro-cerebellar interactions Neuromodulatory systems' role in reinforcement learning Collaborators include Christopher Summerfield, Timothy Behrens, and Yarin Gal. His lab's work has been published in Nature Communications , Cell Reports , and top machine learning venues. He co-organizes the Oxford NeuroTheory Forum and has pioneered models explaining cortical dynamics in task acquisition and consolidation. Advising and Grants: No specific grants listed, but active in collaborative research networks. Advising focuses on PhD students in computational neuroscience and AI. Labs/Teams: Neural & Machine Learning Group at DPAG, part of Oxford's broader neuroscience and AI ecosystem.

Ian WalkerView profile

Professor

• Coastal Geomorphology
• Sediment Transport
• Aeolian Processes
• +5 more

Dr. Ian Walker is a Professor in the Department of Geography at the University of California, Santa Barbara (UCSB). He specializes in physical geography and geomorphology, with expertise in sediment transport, coastal and aeolian processes, environmental fluid dynamics, and dune ecosystem restoration. He holds a B.Sc. in Geography and Environmental Science from the University of Toronto and a Ph.D. in Geography from the University of Guelph, Canada. Prior to UCSB, he served as faculty at Arizona State University and the University of Victoria (Canada). His research focuses on coastal and desert environments, employing field and lab methods such as terrestrial laser scanning (TLS), unmanned aerial systems (UAS), wind tunnel simulations, and computational fluid dynamics (CFD). Key projects include dust emissions mitigation at Oceano Dunes (collaborating with California Department of Parks) and invasive plant removal studies in Humboldt Bay. He has secured over $6M in research funding and advised over 40 students/post-docs. Education: B.Sc. (University of Toronto), Ph.D. (University of Guelph) Editorial Roles: Earth Surface Processes & Landforms , Annals of the American Association of Geographers , Journal of Coastal Research Professional Affiliations: Member of NASEM Scientific Advisory Panel for Owens Valley Dust Studies His articles emphasize coastal morphodynamics, restoration strategies, and climate change impacts. Notable work includes comparing UAS/TLS methods for geomorphic change detection and modeling airflow over dunes using CFD. He teaches courses on physical geography, geomorphology, and remote sensing. Grants and partnerships include collaborations with US Fish & Wildlife Service, NOAA, and state agencies. His lab focuses on integrating geospatial technologies with field experiments to address coastal sustainability challenges.

Mostafa MohammadiView profile

Assistant Professor

• Neurorehabilitation Robotics
• Human-Computer Interaction
• Telerehabilitation Technologies
• +5 more

Mostafa Mohammadi is an Assistant Professor at the Department of Health Science and Technology, Aalborg University, affiliated with the Faculty of Medicine and Center for Rehabilitation Robotics. His research focuses on neurorehabilitation robotics, human-computer interaction, and telerehabilitation technologies for individuals with disabilities. Ph.D. in Biomedical Engineering (Aalborg University, 2018-2022) M.Sc. in Biomedical Engineering (Polytechnic University of Milan, 2015-2017) B.Sc. in Mechanical Engineering (Sharif University of Technology, 2011-2015) His work spans exoskeleton design, assistive robotics, and innovative interfaces like tongue-computer interfacing. Recent projects include the eMotivo digital health solution funded by Innovation Fund Denmark and intelligent tendon-driven exoskeletons for severe disabilities. Research outputs (33 total) emphasize adaptive robotics, motor impairment solutions, and wearable technologies. Collaborations span robotics, biomedical engineering, and clinical disciplines. Teaching includes courses in rehabilitation robotics, human-computer interaction, and digital systems for biomedical engineering. Scientific activities align with UN Sustainable Development Goals for quality education and reduced inequalities. Notable contributions include advancements in myoelectric interfaces and neurorehabilitation technologies.

Kangkang YinView profile

Associate Professor

• Computer Animation
• Computer Graphics
• Humanoid Robotics
• +3 more

Kangkang Yin is an Associate Professor in the School of Computing Science at Simon Fraser University (SFU). His research focuses on computer animation, computer graphics, humanoid robotics, machine learning, and multimedia analysis. He teaches courses such as Computer Animation and Scientific Computing, and holds a PhD from the University of British Columbia (2007), MSc from Zhejiang University (2000), and BSc from Zhejiang University (1997). His work bridges robotics and animation through projects like physics-based character controllers, motion diffusion models, and robotic manipulation. Key contributions include the SIMBICON biped locomotion framework and research into emotion-driven dance animation. Recent efforts emphasize reinforcement learning applications in motion synthesis and robust visual navigation for unmanned ground vehicles. Yin's publications span over two decades, addressing challenges in motion control, physics-based simulation, and machine learning applications. His lab contributes to both academic advancements and practical robotics solutions. Current research trends show strong emphasis on combining generative AI with traditional animation techniques, as seen in recent work on auto-regressive motion models (AAMDM) and physics-augmented reinforcement learning (PARC).

Gregory V CesanaView profile

Researcher

• Atmospheric Science
• Climate Change
• Cloud Physics
• +3 more

Dr. Gregory V Cesana is an Associate Research Scientist at Columbia University's Center for Climate Systems Research (CCSR), affiliated with the Columbia Climate School. He holds a B.S. (2005) and M.Sc. (2007) in Atmosphere/Ocean/Soil Remote Sensing from the University of Toulon and a Ph.D. from Sorbonne Université (2013). His career includes postdoctoral work at Caltech/NASA JPL and current collaboration with NASA GISS to improve climate models using satellite data. Research focuses on cloud processes, radiative feedbacks, and model evaluation using A-train satellite observations (CALIPSO, CloudSat). Key interests include low-cloud feedbacks, cloud-phase transitions, and reducing climate uncertainty. Projects include applying satellite data to constrain climate model biases and developing observational frameworks for future missions. Education: University of Toulon (B.S./M.Sc.), Sorbonne Université (Ph.D.) Affiliations: Columbia CCSR, NASA GISS, and international collaborations Publications highlight advancements in cloud-radiation interactions, model evaluation techniques, and Arctic/Southern Ocean climate dynamics. Expertise spans remote sensing (lidar/radar), climate modeling, and satellite data integration.

Paul RosenView profile

Associate Professor

• Scientific Visualization
• Topology-Based Methods
• Network Visualization
• +3 more

Paul Rosen is an Associate Professor at the University of Utah, affiliated with the Scientific Computing and Imaging Institute and the Kahlert School of Computing. He holds a Ph.D. in Computer Science from Purdue University (2010). Prior to his current role, he was an Assistant/Associate Professor at the University of South Florida (2015–2022) and a Research Assistant Professor at the University of Utah's SCI Institute (2010–2015). Research Focus: Rosen specializes in topology-based visualization techniques, with emphasis on network visualization, uncertainty quantification, and perceptual studies. His work bridges computational methods with human perception, aiming to enhance data understanding through effective visual design. Awards & Recognition: National Science Foundation CAREER Award (2019) Best Paper Awards at PacificVis 2016, IVAPP 2016, and multiple other conferences Honorable Mentions for IEEE VIS and VAST Challenge submissions Leadership: As General Chair of IEEE VIS 2024, Rosen led the planning for this flagship visualization conference, emphasizing community-driven design and in-person collaboration. Education Contributions: His research includes pedagogical innovations, such as predictive modeling for student feedback and peer review analysis in visual literacy courses.