Dr. Tim Oates is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County . His research spans machine learning, artificial intelligence, and brain-machine interfaces, with a focus on weakly supervised methods, human-in-the-loop reinforcement learning, and grounded policy development for robotics. Ph.D., Computer Science, University of Massachusetts, Amherst, 2000 M.S., Computer Science, University of Massachusetts, Amherst, 1997 B.S., Computer Science and Electrical Engineering, 1989 Current research threads include: Developing non-invasive brain injury severity assessment via medical time series Modeling human brain development through computational frameworks Designing algorithms for autonomous robotic learning Recent publications highlight AI security mechanisms (backdoor detection via tensor decomposition, matrix factorization) Medical applications (3D artery reconstruction, skin lesion diagnosis, EEG denoising) Neuro-symbolic integration (holographic representations, language-guided reinforcement learning) Mathematical reasoning (schema-based problem solving, subitizing algorithms) Contact: oates@cs.umbc.edu | Office: 336 Information Technology and Engineering (ITE) Building
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Jason Auمشاهده پروفایل
استادیار
Jason Au is an Assistant Professor at the University of Waterloo, specializing in vascular physiology and exercise-related cardiovascular dynamics. His research focuses on understanding complex blood flow patterns, arterial stiffness, and the impact of exercise on vascular health. He leads the Vascular Observations through Research on Technology and Exercise (VORTEX) Lab, integrating advanced imaging techniques like high-frame-rate ultrasound. Dr. Au holds a BSc and PhD in Kinesiology from McMaster University and a Postdoctoral Fellowship in Electrical & Computer Engineering at the University of Waterloo. His research interests include three main areas: 1) Complex blood flow and wall motion in arteries/veins, 2) Sedentary behavior/exercise exposure on vascular risk, and 3) Novel biomarkers of vascular disease progression. His work combines experimental models with computational approaches to study vascular health comprehensively. Key publications highlight innovations in ultrasound imaging (e.g., vector projectile imaging) and physiological mechanisms like arterial wall motion regulation. Dr. Au’s lab offers graduate supervision across MSc, PhD, and postdoctoral levels, with active projects exploring exercise countermeasures to vascular disease and technological advancements in medical imaging. Laboratory activities emphasize translational research, bridging basic science and clinical applications to improve cardiovascular health outcomes. Collaborations span engineering, physiology, and clinical domains to address unresolved questions in vascular biology.
Liza Rogerمشاهده پروفایل
استادیار
Liza M. Roger is an Assistant Professor in the School of Molecular Sciences at Arizona State University (ASU) and a Senior Global Futures Scientist at the Global Futures Scientists and Scholars Program. She is affiliated with the School of Ocean Futures and works at the Walton Center for Planetary Health. Education: Ph.D. in Marine Biology and Geochemistry (University of Western Australia, 2017) B.Sc. Hon. in Marine Biology and Natural Resources Management (University of Western Australia, 2011) Associate’s Degree (Université du Littoral Côte d’Opale, France, 2006) Her research explores how environmental change affects marine organisms in symbiotic relationships with microscopic algae, such as corals, mollusks, anemones, and jellyfish. She pioneers coral in vitro methodologies to advance understanding of symbiosis, biomineralization, and stress adaptation. Recent publications highlight her work on nanotechnology for coral reef conservation, thermal stress mitigation using engineered nanoceria, and interdisciplinary collaborations merging art with coral research. Her studies also address trace metal roles in coral nutrition, insulin signaling pathways, and innovative imaging techniques to monitor coral health. Scientific Awards: NSF’s 2021 Coral Bleaching Research Coordination Network Early Career Training Program Award VCU’s 2021 Postdoctoral Independent Research Award Liza’s multidisciplinary approach integrates expertise from oceanography, biochemistry, nanoscience, and sustainability. She previously worked at the Australian Institute of Marine Science and has field experience as a cetacean naturalist in Iceland and a scuba diving instructor in the Mediterranean Sea and Southeast Asia.
Laura U. Marks is the Grant Strate University Professor in the School for the Contemporary Arts at Simon Fraser University (SFU), located on unceded Coast Salish territory. Her work bridges media art, philosophy, and environmental sustainability, with a focus on small-footprint media and intercultural studies. She is a Fellow of the Royal Society of Canada and has held visiting roles at institutions like Harvard University and Zurich University for the Arts. Education: PhD (1996) and MA (1994) in Visual and Cultural Studies from the University of Rochester; BA (1987) in Art History and Sociology from Swarthmore College. Research interests include experimental media, film theory, Islamicate visual traditions, and the environmental impact of digital media. Her recent projects, funded by a Guggenheim Fellowship, explore mitigating streaming media’s carbon footprint through small-file workflows. Key publications include The Fold: From Your Body to the Cosmos (2024) and Hanan al-Cinema: Affections for the Moving Image (2015). Recent talks include keynote addresses at the Eco Media Footprints workshop (Jönköping University, 2025) and the Saudi Film Festival (2025). She co-founded the Substantial Motion Research Network (2018) and the Small File Media Festival, advocating for low-carbon media practices. Awards include the College Art Association’s Mather Award (2017) and the SFU Leadership Award (2021). She actively participates in SFU’s Faculty for Palestine and Council on Islamophobia.
Eun Jeong Chaمشاهده پروفایل
دانشیار
- Structural Engineering
- Societal Risk & Hazard Mitigation
- Infrastructure Systems Risk Management
- +۳ مورد دیگر
Eun Jeong Cha is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. She holds a Ph.D. (2012) and M.S. (2009) from Georgia Institute of Technology, and a B.S. (2006) from Seoul National University. Her research focuses on risk-informed decision-making for infrastructure resilience under natural hazards, including hurricane risk assessment under climate change, interdependent infrastructure systems analysis, and seismic risk mitigation. Education: Ph.D. in Civil Engineering, Georgia Tech (2012) M.S. in Civil Engineering, Georgia Tech (2009) B.S. in Architectural Engineering, Seoul National University (2006) Her research interests span structural reliability, disaster risk management, and the integration of climate change impacts into infrastructure design. Key areas include hurricane risk modeling, interdependent infrastructure recovery, and socially-aware retrofit prioritization. She has received awards such as the ASCE/EMI Probabilistic Methods Committee Student Paper Award (2012) and is a Fellow of the Next Generation of Hazards and Disasters Researchers (2015). Dr. Cha leads the R4 Group, advancing methodologies for resilient infrastructure systems. She actively contributes to professional societies like ASCE, serving on committees for load combinations and climate adaptation. Her work bridges engineering, risk analysis, and policy to enhance community resilience against extreme events.
Youssef M A Hashash is the W. W. Grainger Chair and Professor in the Department of Civil and Environmental Engineering at the University of Illinois. His research focuses on geotechnical and earthquake engineering, with emphasis on seismic site response analysis, soil-structure interaction, and advanced computational methods like the Discrete Element Method (DEM). He has led projects on infrastructure resilience, including studies of buried water reservoirs, railway systems, and post-earthquake reconnaissance. Hashash has developed influential models for site amplification in Central and Eastern North America, contributing to seismic hazard assessments. His work integrates experimental centrifuge testing, numerical simulations, and field data. Notable contributions include guidelines for implementing NGA-East ground motion models and advancements in pore-water pressure generation models for liquefaction evaluation. Key Research Areas: Ground movement, seismic response, soil dynamics, and geotechnical data systems Major Projects: NGA-East Geotechnical Working Group, Beirut Explosion Analysis, and LA Metro Tunnel Projects Recipient of prestigious awards including the NAE Membership (2022), PECASE (2000), and Walter L. Huber Prize (2006), he collaborates internationally on earthquake engineering and geotechnical innovations. His lab develops tools like the DEEPSOIL software for nonlinear site response analysis and explores AI applications in geotechnical data interpretation.
Kevin Deluzioمشاهده پروفایل
دانشیار
Dr. Kevin J. Deluzio is an Associate Professor in the Department of Mechanical and Materials Engineering at Queen's University and serves as Dean of Smith Engineering. He holds a cross-appointment in the Centre for Health Innovation and is affiliated with the Canadian Orthopaedic Research Society and multiple biomechanics societies. His research focuses on musculoskeletal health, biomechanics of human locomotion, and knee osteoarthritis treatment evaluation. Dr. Deluzio earned his BSc (1988), MSc (1990), and PhD (1997) from Queen's University, followed by postdoctoral training at Harvard University. He previously held a faculty position at Dalhousie University, establishing the Dynamics of Human Motion Laboratory. Education: Bachelor of Science (Honours) in Mathematics and Engineering, Queen's University (1988) Master's of Science in Mechanical Engineering, Queen's University (1990) Doctor of Philosophy in Mechanical Engineering, Queen's University (1997) Post-doctorate in Orthopaedic Biomechanics, Harvard University (1999) Research Interests: Dr. Deluzio investigates biomechanical factors of musculoskeletal diseases (e.g., knee osteoarthritis), non-invasive therapies, and surgical treatments like total knee replacement. His work involves markerless motion capture systems and collaborations between engineering and medicine through the Human Mobility Research Centre at Kingston General Hospital. Grants & Awards: While no specific awards are listed, his research has been supported through academic appointments and institutional affiliations. Labs & Teams: Directs the Dynamics of Human Motion Laboratory and collaborates at the Human Mobility Research Centre, integrating engineering and medical expertise to advance musculoskeletal health solutions.
Dr. Shahram Shirani is a Professor and holds the L.R. Wilson/Bell Canada Chair in Data Communications in the Department of Electrical & Computer Engineering at McMaster University. He also serves as Acting Chair of the department. His research focuses on multimedia communications, image/video processing, medical imaging, and hardware architectures. He teaches courses like Image Processing (COMPENG 4TN4) and 3D Image Processing and Computer Vision (ECE 736). Shirani earned his B.Sc. from Isfahan University of Technology (1989), M.Sc. from Amirkabir University of Technology (1994), and Ph.D. from the University of British Columbia (2000). His achievements include the Faculty of Engineering Leadership Fellowship (2014–15) and leadership roles in editorial boards for IEEE Transactions on Multimedia and Circuits and Systems for Video Technology. Research interests include video quality assessment, biomedical signal processing, and edge computing for traffic monitoring. His lab develops algorithms for multimedia representation, compression, and hardware implementation. Recent work includes AI-driven medical sound datasets, real-time noise removal in MRI, and efficient CNN pruning techniques. He advises over 15 graduate students and collaborates on projects like the HLS-CMDS dataset and cardiac segmentation reviews. His lab’s contributions span biomedical engineering, autonomous systems, and smart sensor technologies.
John Whitneyمشاهده پروفایل
دانشیار
- Human-safe robotics
- Medical robotics
- Soft robotics
- +۵ مورد دیگر
John Whitney is an Associate Professor in the Department of Mechanical and Industrial Engineering at Northeastern University's College of Engineering. He joined the university in January 2016. His research focuses on human-safe robotics, medical robotics, soft robotics, MEMS, microrobotics, and bio-inspired design, with a particular emphasis on flapping aerodynamics and insect flight mechanisms. He has led major research initiatives including the National Science Foundation-funded 'Controllable Compliance' robotic arm project and Office of Naval Research projects on haptic manipulators for explosive ordnance disposal. Whitney holds a PhD in Engineering Sciences from Harvard University (2012) and an SM in Aeronautics and Astronautics from MIT (2006). He is affiliated with Northeastern's Institute for Experiential Robotics and has contributed to advanced systems like the ANA Avatar XPRIZE robotic avatar. His work integrates interdisciplinary approaches combining mechanical engineering, control systems, and biomedical applications. Education: PhD in Engineering Sciences, Harvard University, 2012 SM in Aeronautics and Astronautics, MIT, 2006 Awards: 2023 Impact Award Finalist, International Conference on Robotics and Automation 2022-2023 College of Engineering Faculty Award Recipient His research spans teleoperation systems, haptic feedback mechanisms, and soft material manufacturing. Notable projects include a MR-safe haptic system for prostate biopsies and a novel robotic arm for contact-rich environments. His lab's work on flapping-wing microrobots draws inspiration from insect flight dynamics to improve micro air vehicle (MAV) performance. Whitney advises teams like the Northeastern Mars Rover Team and ANA Avatar XPRIZE finalists, demonstrating his commitment to hands-on student engagement. His publications emphasize practical robotics solutions for medical, industrial, and exploratory applications.
- Robotics
- Neurosciences
- Biomechanics
- +۴ مورد دیگر
Philippe Souères is a Researcher at LAAS-CNRS (Laboratory for Analysis and Architecture of Systems) within the University of Toulouse. He leads the Gepetto team, focusing on advanced robotics, humanoid motion generation, and the integration of human biomechanics into robotic systems. His work bridges robotics, neuroscience, and biomechanics, emphasizing optimal control, sensor-based systems, and human-robot interaction. Research interests include robot control (optimal control, nonlinear systems), neurosciences (human motor control, sensorimotor integration), and biomechanics (organization of human movement). Notable contributions include models for humanoid locomotion, human-like motion generation using inverse dynamics, and studies on task-dependent balance in humans and robots. Souères has authored/co-authored over 50 publications, including award-winning work on human movement modeling for robotics. He has supervised numerous PhD students and contributed to projects like the EAR initiative (Robot Audition) and the development of the Pyrène humanoid robot. His research also extends to aerial robotics, ducted fan vehicles, and interdisciplinary collaborations with neuroscientists and biomechanics experts. Awards include the Best Conference Paper Award (2010) for integrating human movement invariants into humanoid robotics. Souères is actively involved in academic outreach, appearing in media discussions on robotics ethics and technological innovation.
Dengfeng Sun is a Professor and Associate Head of the Gambaro Graduate Program in the School of Aeronautics and Astronautics at Purdue University. His research focuses on distributed control systems, autonomy, resilient networks, and air traffic management. Sun holds a B.Eng. from Tsinghua University, an M.S. from The Ohio State University, and a Ph.D. from UC Berkeley. His work spans advanced air mobility, UAV trajectory planning, and stochastic optimization for large-scale systems. Key contributions include resilient UAV traffic control, distributed state estimation algorithms, and fault detection methods for navigation systems. Sun's research has been published in top journals like IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part E. Education: B.Eng., Tsinghua University (2000) M.S., Ohio State University (2002) Ph.D., UC Berkeley (2008) He advises on cutting-edge projects integrating robotics, autonomous systems, and cloud-based traffic modeling. His lab develops solutions for urban air mobility, emergency medical UAV networks, and next-generation air traffic control systems. Notable collaborations include work with NASA and industry partners on continuous descent approach procedures and metroplex routing paradigms. Sun's work bridges theoretical control systems with practical applications in aviation and infrastructure optimization.
Cormac Fayمشاهده پروفایل
پژوهشگر ارشد
Cormac Fay is a Research Fellow in Artificial Intelligence for Smart Cities at the School of Computing and Information Technology (SCIT), University of Wollongong, within the Faculty of Engineering and Information Sciences. His roles include affiliations with the SMART Infrastructure Facility and the ARC Centre of Excellence for Electromaterials Science. Previously, he held positions at Dublin City University, including post-doctoral roles in sensor research and data analytics. He holds a PhD in Engineering from Dublin City University (2013), an M.Eng. in Telecommunications Engineering (2007), and a B.Eng. in Mechatronic Engineering (2005). His research focuses on AI-driven smart city technologies, sensor systems for environmental monitoring, and advanced 3D printing materials. Key areas include IoT-enabled carbon-emission tracking, wearable biomedical devices, and sustainable sensor networks for landfill gas management. He has developed innovative solutions such as cryogenic 3D printing techniques for biocompatible inks and LED-based optical sensing platforms. Dr. Fay has secured grants totaling over $X million, including projects on military diver monitoring, blue carbon ecosystems, and low-cost sensor networks for agriculture and environmental safety. His work integrates interdisciplinary approaches, bridging materials science, biomedical engineering, and environmental engineering. Grants: Led projects on carbon-emission IoT systems, oyster farming sensors, and vibration monitoring. Supervision: Advised a Master's project on biomimetic microfluidic fabrication (2017–2019). Labs/Teams: Collaborates with the SCIT, SMART Infrastructure Facility, and global institutions like École Polytechnique Fédérale de Lausanne.
Haoran Zuoمشاهده پروفایل
پژوهشگر ارشد
Dr. Haoran Zuo is a Research Fellow and ARC DECRA Fellow at Curtin University's School of Civil and Mechanical Engineering within the Faculty of Science and Engineering. He holds a PhD (2019) and has held postdoctoral and research roles at Curtin and The Hong Kong Polytechnic University. His research focuses on structural dynamics, vibration control of offshore wind turbines, and seismic response analysis. He has secured prestigious fellowships including ARC DECRA (2024) and Marie Curie (2025). Education: PhD in Civil Engineering, Curtin University (2019) Research Interests: Structural dynamics and vibration mitigation Offshore wind energy systems Seismic response analysis Energy-harvesting control technologies Key Research Trends (2022-2025): Focused on advanced vibration control solutions for offshore wind turbines, including novel damper technologies (e.g., TTMD, KDamper), metamaterial applications, and fatigue analysis under multi-hazard conditions. His work combines experimental validation, numerical modeling, and innovative control system design. Awards: ARC DECRA Fellowship (2024-2028) Marie Skłodowska-Curie Fellowship (2025) Highly Cited Paper in Engineering (2024) Best Paper Awards (2024) Grants & Advising: Sole CI on ARC DECRA grant for hybrid wind-wave energy systems. Advises on projects involving floating platforms and structural resilience. Active in collaborative research with industry and international institutions. Labs/Teams: Part of the Curtin Research Centre for Infrastructural Monitoring & Protection, focusing on structural health monitoring and resilient infrastructure design.
Erik Schemeمشاهده پروفایل
دانشیار
Erik Scheme is an Associate Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB), and serves as Associate Director of the Institute of Biomedical Engineering (IBME). He holds a PhD and is a Professional Engineer (PEng). His roles include advising the Dr. J. Herbert Smith Centre for Technology Management and Entrepreneurship, emphasizing innovation in biomedical technologies and healthcare systems. His research focuses on advanced human-machine interaction through biomedical engineering, with a strong emphasis on myoelectric prosthetics, wearable sensors, and machine learning applications. Key areas include improving neuroprosthetic control via incremental learning, gait analysis using underfoot pressure sensors, and developing robust EMG-based gesture recognition systems. His work bridges clinical needs with technological innovation, addressing challenges in rehabilitation, activity monitoring, and user-centric design. Recent publications highlight advancements in adaptive control systems, sensor fusion, and ethical data practices in healthcare. His contributions span both theoretical frameworks (e.g., self-supervised learning models) and applied technologies (e.g., gold-plated 3D-printed electrodes). Dr. Scheme collaborates across disciplines, integrating robotics, signal processing, and clinical validation to create impactful solutions. His lab, affiliated with IBME, actively explores emerging areas like exhaled breath analysis for disease detection and federated learning in healthcare data analytics.
Doug L. James is a Full Professor of Computer Science at Stanford University since 2015, following roles as Associate Professor at Cornell University (2006-2015) and Assistant Professor at Carnegie Mellon University (2002-2006). He holds a PhD in Applied Mathematics from the University of British Columbia (2001), alongside earlier degrees from the same institution and the University of Western Ontario. His research focuses on computer graphics, sound synthesis, and physically-based modeling, with notable contributions to fluid simulation, cloth animation, and medical modeling. Key achievements include the 2012 Technical Achievement Award from the Academy of Motion Picture Arts and Sciences for 'Wavelet Turbulence,' and the 2013 Katayanagi Prize. He serves as a consulting Senior Research Scientist at Pixar Animation Studios and has led roles like Technical Papers Chair at SIGGRAPH 2015. His work integrates physics-based principles with interactive systems, emphasizing real-time applications and data-driven methods. Research interests span sound synthesis for animations (e.g., cloth, water, impact sounds), deformable models for medical simulation, and tools like 'svMorph' for virtual surgery planning. His publications reflect a blend of algorithmic innovation and practical applications in film, gaming, and healthcare.