جستجوی استاد راهنمای دانشگاهی

Andrew Nordinمشاهده پروفایل

استادیار

• Biomechanics
• Neural Engineering
• Neuromechanics
• +۴ مورد دیگر

Dr. Andrew Nordin is an Assistant Professor in the Department of Biomedical Engineering at the University of Houston's Cullen College of Engineering. His research focuses on neuromechanics, neural engineering, and biomechanics of human movement control during gait and locomotion. He holds degrees from Lakehead University (BS, HBK, MS) and the University of Nevada, Las Vegas (PhD), with postdoctoral training at the University of Michigan. Previously, he was a Research Assistant Scientist at the University of Florida and an Assistant Professor at Texas A&M University. Dr. Nordin's academic training spans biomechanics, physiology, neural engineering, and signal processing. His lab, the Nordin Neuromechanics Laboratory, develops methods for measuring electrophysiological signals (EEG/EMG) during dynamic movements. Current projects include studying brain-muscle dynamics during obstacle avoidance in virtual reality, bodyweight-supported treadmill walking, and dual-task gait asymmetries in older adults. His research integrates wearable sensors and machine learning to analyze movement biomechanics and neural control in real-world settings. Key areas of focus include neuromuscular adaptation, gait variability, and injury mechanisms. Dr. Nordin collaborates across disciplines to advance wearable technologies for clinical and sports performance applications. His publications emphasize EEG/EMG signal processing innovations to mitigate motion artifacts, and explore how gravitational environments (e.g., low-gravity simulations) affect balance control and cortical activity. Despite prolific publishing, no specific awards are listed in his profile. Lab activities include: 1) Biomechanics & Neural Engineering - hardware validation for mobile EEG/EMG systems; 2) Locomotion Neuromechanics - kinematic/kinetic analysis during walking/running; 3) Applied Neuromechanics - injury prevention strategies using wearable sensors. Office located in SERC 2020 with lab website at nordinlab.com .

• Additive Manufacturing
• Computer-Integrated Manufacturing
• Intelligent Modeling and Optimization
• +۳ مورد دیگر

Souran Manoochehri is a Professor and Chair of the Department of Mechanical Engineering at Stevens Institute of Technology, within the Charles V. Schaefer, Jr. School of Engineering and Science. He joined Stevens in 1989 as an Assistant Professor, advancing to Associate Dean for Research and Technology (2004-2009) and Director of the Design and Manufacturing Institute (1990-2004). He holds a PhD (1986), MS (1983), and BS (1981) in Mechanical Engineering from the University of Wisconsin-Madison and Illinois Institute of Technology, respectively. Education: PhD, MS, and BS in Mechanical Engineering Roles: Department Chair, former Associate Dean, and co-founder of the Design and Manufacturing Institute Research: Focuses on additive manufacturing, computer-integrated design, and intelligent optimization His research integrates mathematical modeling, machine learning, and experimental studies to ensure product and process quality in manufacturing. Over his career, he has secured $30M+ in grants, authored 130+ publications, and supervised 30+ graduate students and 12 postdoctoral fellows. He is an ASME Fellow and recipient of awards including the ASME Design Engineering Division Award. Key research trends in his articles include real-time monitoring of additive manufacturing processes (e.g., melt pool analysis, acoustic emission sensors), machine learning applications in quality control, and optimization of manufacturing systems. His work addresses challenges in precision, defect detection, and process automation across 3D printing and microfluidics. Scientific Awards: ASME Fellow, ASME IDETC Award, DMC Best Presentation Grants: Over 50 contracts totaling $30M+; advising over 30 graduate students Labs/Teams: Co-founded the Design and Manufacturing Institute (DMI) at Stevens His contributions span academic leadership and industry-relevant innovation, emphasizing interdisciplinary solutions in advanced manufacturing.

• Control Systems
• Biomechanics
• Neuroprosthetics
• +۴ مورد دیگر

Raviraj Nataraj is an Associate Professor in the Department of Biomedical Engineering at Stevens Institute of Technology, leading the Movement Control Rehabilitation (MOCORE) Laboratory. He holds a PhD from Case Western Reserve University (2010) and an MS from Stanford University (2003). His research focuses on integrating control systems with assistive technologies to enhance motor function recovery for individuals with neurotrauma, including spinal cord injury, stroke, and amputation. Key areas include wearable sensors, virtual reality environments, and neuroprosthetics. Education: PhD in Biomedical Engineering, Case Western Reserve University (2010) MS in Mechanical Engineering, Stanford University (2003) Research interests emphasize sensory feedback mechanisms, cognitive factors in motor rehabilitation, and the development of personalized computerized interfaces. His lab creates instrumented wearables and VR tools to improve functional movement. Recent work includes optimizing feedback modalities for upper-limb rehabilitation and studying neural responses to altered visual feedback. Notable awards include the NSF CAREER Award (2023) and Stevens’ Harvey Davis Distinguished Teaching Award. He has secured grants from NSF, Department of Veterans Affairs, and New Jersey Health Foundation for projects like ‘Personalizing sensory-driven interfaces for motor rehabilitation’. Professional roles include NIH Review Panelist and Associate Editor for Frontiers of Medical Engineering. He chairs Stevens’ Institutional Review Board and oversees BME faculty searches. The MOCORE Lab (www.mocorelab.com) collaborates on clinical solutions like the ‘Cognition Glove’ and muscle-training braces.

Jack Montgomeryمشاهده پروفایل

دانشیار

• Geotechnical Earthquake Engineering
• Landslides
• Dam Engineering
• +۴ مورد دیگر

Jack Montgomery is an Associate Professor of Civil and Environmental Engineering at Auburn University's College of Engineering, specializing in Geotechnical Engineering. He holds a Ph.D., M.S., and B.S. in Civil Engineering from the University of California-Davis and California Polytechnic State University. His research focuses on Geotechnical Earthquake Engineering, Landslides, Dam Engineering, Sinkholes, and Advanced Site Characterization. He has received the prestigious NSF CAREER award for his work on piping mechanisms in unsaturated soils. His projects include developing landslide warning systems for Alabama highways, studying liquefaction effects in earthquakes, and integrating geophysics into infrastructure assessments. He collaborates with agencies like ALDOT and the U.S. Nuclear Regulatory Commission on critical infrastructure resilience. His lab work includes centrifuge modeling, geotechnical reconnaissance, and advanced numerical simulations. Education: Ph.D. Civil Engineering, University of California-Davis M.S. Civil Engineering, University of California-Davis B.S. Civil Engineering, California Polytechnic State University Research emphasizes landslide prediction, dam stability, and seismic risk mitigation. Recent efforts include machine learning applications for foundation design and sinkhole tracking via media reports. Key Awards: NSF Faculty Early Career Development (CAREER) Program Award Advising and Grants: Collaborates with federal agencies on $1M NRC-funded advanced nuclear reactor research and leads Auburn’s geotechnical engineering outreach. His work appears in 20+ peer-reviewed articles and field investigations. Labs/Teams: Active in Auburn’s Advanced Structural Engineering Lab and Highway Research Center, contributing to Alabama’s transportation infrastructure resilience.

Qin Linمشاهده پروفایل

استادیار

• Autonomous Systems
• Control Systems
• Robotics
• +۵ مورد دیگر

Qin Lin is an Assistant Professor in the Department of Engineering Technology at the University of Houston's Cullen College of Engineering. Their research focuses on autonomous systems, control theory, and safety-critical applications. Lin holds a Ph.D. in Computer Science from Delft University of Technology (2015-2019) and completed a postdoctoral fellowship at Carnegie Mellon University's Robotics Institute (2019-2021). Research interests include safe reinforcement learning, fault-tolerant control systems, and cybersecurity for industrial control systems. Lin has published extensively on topics like vehicle autonomy, exoskeleton safety, and disturbance rejection in robotics. Their work emphasizes practical applications of control theory in autonomous driving, robotics, and human-robot interaction. Recent publications highlight advancements in control barrier functions, latency-aware autonomous systems, and data-driven anomaly detection in ICS environments. Lin has been recognized for contributions to curriculum development in engineering technology and maintains active collaborations in automotive and robotics domains.

Uwe Meyer-Baeseمشاهده پروفایل

دانشیار

• Digital Signal Processing
• FPGA Design
• VLSI Systems
• +۴ مورد دیگر

Uwe Meyer-Baese is an Associate Professor in the Electrical and Computer Engineering Department at the FAMU-FSU College of Engineering. He holds a Ph.D. (Dr.-Ing. habil) from Darmstadt University of Technology, Germany. His research focuses on Digital Signal Processing with FPGAs, VLSI design, and medical imaging applications. He has authored over 100 publications, 5 books, and holds 3 patents. He has been recognized with awards such as the Humboldt Fellowship (2009) and the FAMU-FSU Teaching Award (2007). Education History: Dr.-Ing. habil (Venia Legendi), Darmstadt University of Technology, Germany, 2003 Ph.D. (Dr. Ing.), Darmstadt University of Technology, Germany, 1995 M.S., Darmstadt University of Technology, Germany, 1989 Research Interests: FPGA-based embedded systems and real-time DSP Low-power VLSI architectures Medical image processing (e.g., breast MRI, brain tumor analysis) Hardware security and intellectual property protection Graph theory applications in biological networks Recent work includes advancements in FPGA implementations for microprocessor systems, brain network controllability studies, and AI-driven medical diagnostics. His lab focuses on bridging hardware design with biomedical applications, emphasizing practical implementations through FPGA platforms. Awards: Max-Kade Award in Neuroengineering (1997) ECE Department Research Award (2005) Humboldt Fellowship (2009) FAMU-FSU Teaching Award (2007) He has advised over 60 master’s theses and contributed to major grants in FPGA-based medical systems. His book Digital Signal Processing with Field Programmable Gate Arrays is a widely used textbook in the field.

William Stewartمشاهده پروفایل

استادیار

• Multimodal Robotics
• Soft Robotics
• Biomimetic Robotics
• +۴ مورد دیگر

William Stewart is an Assistant Professor in the Department of Mechanical Engineering at Stony Brook University. He joined the university in 2022 and leads the Soft Flyers Group laboratory. His research focuses on multimodal robotics, particularly in developing robots that integrate principles from soft robotics, biology, and science fiction to enhance capabilities in challenging environments. He holds a Ph.D. in Aerospace Engineering from North Carolina State University (2018) and has postdoctoral experience at École Polytechnique Fédérale de Lausanne (2018–2022). Prof. Stewart's work emphasizes practical modeling, rigorous experimentation, and full vehicle validation. His research interests include eclectic robot design, energy-efficient perching mechanisms, bio-inspired systems, and resilient multi-modal drones. He actively reviews for journals such as Bioinspiration and Biomimetics, Robotics and Automation Letters, and Springer Nature Applied Sciences. His educational background includes degrees from North Carolina State University: a B.S. (2012), M.S. (2014), and Ph.D. (2018), all in Aerospace Engineering. His professional experience combines academic leadership with advanced robotics research, contributing to innovations in aerial, ground, and underwater robotics.

• Earthquake Engineering
• Structural Dynamics
• Steel Structures
• +۱ مورد دیگر

Dr. David Roke is an Associate Professor in the Department of Civil Engineering at the University of Akron's College of Engineering and Polymer Science. A member of the American Society of Civil Engineers (ASCE) and Chi Epsilon, Dr. Roke was honored with the 2019 Excellence in Teaching Award from The National Society of Leadership and Success (Sigma Alpha Pi). His research program focuses on earthquake engineering and structural resilience, with particular emphasis on developing advanced structural systems for seismic resistance. Key research areas include self-centering structural systems, buckling-restrained elements, soil-structure interaction effects, and life-cycle cost analysis of resilient infrastructure. His investigations employ experimental testing combined with computational methods including evolutionary algorithms, sensitivity analysis, and machine learning techniques. Dr. Roke's recent publications demonstrate significant contributions to economical seismic-resistant design, with innovative work on self-centering concentrically braced frames and rocking core systems. His research integrates structural performance assessment with economic feasibility studies to advance practical applications in earthquake engineering. His educational background includes a Ph.D. in Structural Engineering from Lehigh University, an M.S. in Civil Engineering from University of Pittsburgh, and a B.S. in Civil Engineering from University of Pittsburgh.

• Visual Perception
• Cognitive Neuroscience
• Neuroscience
• +۳ مورد دیگر

Zijiang J He, PhD, is a Professor and Distinguished University Scholar in the Department of Psychological and Brain Sciences at the University of Louisville. His research focuses on visual perception, particularly the mechanisms underlying 3D depth perception and middle-level vision. He holds a B.S. in Biophysics from the University of Science and Technology of China (1983), M.S. in Neurobiology from Shanghai Institute of Physiology (1986), and Ph.D. in Physiological Optics & Neuroscience from the University of Alabama at Birmingham (1990). Postdoctoral training was completed at Harvard University (1994). Research interests include space vision mechanisms and middle-level vision processes. His lab explores how the brain integrates 2D retinal images into 3D spatial perception, leveraging virtual reality and psychophysical methods. Key contributions include studies on sensory eye dominance, binocular rivalry, and perceptual learning protocols for amblyopia. He leads the Visual Perception and Cognition Lab, emphasizing interdisciplinary approaches combining neuroscience, computational modeling, and behavioral experiments. Notable achievements include the Distinguished University Scholar title and impactful publications in *Nature*, *Science Advances*, and *Proceedings of the National Academy of Sciences*. His work bridges ecological regularities and neural processing, advancing understanding of visual system adaptations to spatial environments.

Mikael Eklundمشاهده پروفایل

استاد

• Autonomous Systems
• Nonlinear System Identification and Control
• Health Informatics
• +۳ مورد دیگر

Dr. Mikael Eklund is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University, within the Faculty of Engineering and Applied Science. He holds a PhD (2003), MSc (1996), and BSc (1989) in Electrical and Computer Engineering from Queen’s University. His research focuses on Autonomous Systems , Nonlinear System Identification and Control , Health Informatics , and Pervasive and Mobile Computing . He has expertise in medical image processing, robotic vehicles, and smart sensors for assisted living. Education and Work Experience : - PhD (Electrical and Computer Engineering), Queen’s University (2003) - MSc and BSc from Queen’s University (1996, 1989) - Visiting Postdoctoral Scholar at UC Berkeley (2003–2006) - Adjunct Assistant Professor at Queen’s University (2003) - Former Teaching Fellow at Queen’s University (1996–2001) - Industrial experience in flight control system engineering (CAE Inc., 1989–1996) Research Contributions : - Developed SensorNet, a wireless infrastructure for assisted living. - Advanced methods for nonlinear system identification in chemical processes and aerospace systems. - Pioneered real-time UAV safety protocols and model predictive control algorithms for aerial pursuit-evasion games. - Explored EMG signal processing for hand force estimation and MEG signal source localization in neuroscience. Teaching and Outreach : - Teaches courses like Medical Image Processing and Electric Circuits. - Active in interdisciplinary projects like the ITALH initiative for elder tech integration. - Presented at conferences such as IEEE EMBC, ACC, and CDC, emphasizing healthcare IT and autonomous systems.

Alexander Lanzonمشاهده پروفایل

استاد

• Robust Control
• Nonlinear Systems
• Multi-Agent Systems
• +۲ مورد دیگر

Prof. Alexander Lanzon is Chair of Control Engineering at the University of Manchester, where he directs the Control, Dynamics and Robotics Laboratory and leads research in the Department of Electrical and Electronic Engineering. Research Focus: Robust/nonlinear control via passivity and dissipativity methods Negative imaginary systems theory for precision motion control Multi-agent coordination for UAV swarms and robotic networks His recent publications demonstrate theoretical advances in stability analysis frameworks and applications to energy storage optimization and aerial swarm control. This reflects dual emphasis on fundamental theory and engineering implementations. Leadership Roles: Deputy Head of Research for School of Engineering Associate Editor for IEEE Control Systems Letters Fellow of IET, IMA, and InstMC Current Projects: Micro-scale Co-generation Compressed Air Energy Storage Centre for Robotics and Artificial Intelligence Distributed control for multi-tilt tricopter systems

H.F. Machiel Van der Loosمشاهده پروفایل

دانشیار

• Rehabilitation Robotics
• Roboethics
• Design Methodology
• +۳ مورد دیگر

H.F. Machiel Van der Loos is an Associate Professor and Associate Head – External at the Department of Mechanical Engineering, University of British Columbia. He holds a PhD from Stanford University (1992) in human-robot interaction and a Diplôme d'Ingénieur from École Polytechnique Fédérale de Lausanne (EPFL). As Director of the CARIS Lab, his research focuses on rehabilitation robotics, roboethics, design methodology, and human-robot interaction in industrial contexts. He has authored over 50 peer-reviewed journal articles and 100 conference papers, and serves as Associate Editor for the Journal of Assistive Technology . His teaching includes core design courses such as the Capstone Design Project and cross-disciplinary 'Designing for People' courses spanning Computer Science, Applied Science, and Library Science. Van der Loos organized major conferences including IEEE ICORR 2013 and ICED17 at UBC. His work includes developing assistive technologies like power-assisted wheelchairs, AR interfaces for human-robot collaboration, and rehabilitation robots. The CARIS Lab emphasizes ethical considerations in corporeal robotics and user-centered design principles. Current research projects involve multimodal robot programming through AR, gesture-based interaction, and adaptive wheelchair control systems. His lab has collaborated with industry partners like JDQ Systems Inc. and Tableau to advance practical robotics solutions.

• Formal Verification and Control
• Safety-Critical Systems
• Machine Learning
• +۵ مورد دیگر

Dr. Yulong Gao is an Assistant Professor in the Department of Electrical and Electronic Engineering at Imperial College London, affiliated with the Control and Power Research Group. He holds a B.E. in Automation from Beijing Institute of Technology (2013), M.E. in Control Science & Engineering (2016), and a joint Ph.D. in Electrical Engineering from KTH Royal Institute of Technology and Nanyang Technological University (2021). He has held postdoctoral positions at Oxford University and KTH. His research focuses on formal verification and control, machine learning, and their applications to safety-critical systems, including autonomous systems and control synthesis under uncertainty. His work emphasizes robust control strategies, data-driven optimization, and formal methods to ensure safety in dynamic systems. Recent publications address challenges in autonomous vehicle motion planning, risk-aware Bayesian neural networks, and adaptive task planning using temporal logic. He has contributed to stochastic modeling, distributed MPC, and resilient control under cyber-physical threats. Research affiliations include the Control and Power Research Group at Imperial College London, leveraging interdisciplinary collaboration to advance theoretical and applied control systems research.

• Digital Manufacturing
• Sustainability Engineering
• Additive Manufacturing
• +۵ مورد دیگر

Professor Jonathan Corney holds the Chair of Digital Manufacture in the School of Engineering at the University of Edinburgh. His research focuses on advanced manufacturing technologies, including digital twin applications, smart factory optimization, sustainability engineering, and additive manufacturing. He leads projects addressing human factors in industrial environments, predictive analytics for production processes, and intellectual property challenges in modern manufacturing systems. His academic background encompasses mechanical engineering with specialization in CAD/CAM systems, hydroforming technology, and patent analysis for design innovation. Corney has pioneered methods like the Economic and Environmental Impact Assessment for Sustainability (EENIAS), and developed decision support frameworks for energy-efficient scheduling and garment reprocessing in circular economies. Key research themes include: Smart factory design through real-time worker movement analysis Cyber-physical systems for supply chain optimization Machine learning applications in manufacturing process control Human-centric automation and safety protocols His recent work emphasizes predictive modeling using spatio-temporal graph networks, digital twin integration in assembly processes, and sustainable manufacturing practices. Over 150 peer-reviewed articles demonstrate his contributions to near-net-shape manufacturing, intellectual property management, and crowdsourced design methodologies.

Chantal Sternمشاهده پروفایل

استاد

• Cognitive Neuroscience
• fMRI
• Memory Encoding
• +۲ مورد دیگر

Chantal Stern is Professor and Department Chair at Boston University's College of Arts and Sciences, where she directs the Cognitive Neuroimaging Laboratory and Cognitive Neuroimaging Center. Her research uses fMRI to study memory formation, spatial navigation, and neurodegenerative conditions. Research examines neural mechanisms underlying visual/spatial information processing, memory encoding/retrieval dynamics, and cognitive changes in normal aging and dementia pathologies. Current projects investigate navigation systems, attentional networks, and computational models of reasoning. Publications demonstrate consistent methodological innovation in neuroimaging, particularly in mapping temporal aspects of navigation and developing predictive models integrating perceptual and abstract reasoning systems.