جستجوی استاد راهنمای دانشگاهی

Aniket Palمشاهده پروفایل

استادیار

• Soft Robotics
• Mechanical Metamaterials
• Mechanical Instabilities
• +۳ مورد دیگر

Aniket Pal is a Junior Professor (Assistant Professor) at the Institute of Applied Mechanics (MIB) at the University of Stuttgart, where he leads the Soft Robot Mechanics Group. He holds affiliations with the International Max Planck Research School for Intelligent Systems (IMPRS-IS), Stuttgart Centre for Simulation Science (SimTech), and Centre for Bionic Intelligence Tübingen Stuttgart (BITS). His research focuses on soft robotics, mechanical metamaterials, and mechanical instabilities, with applications in bioengineering and wearable technologies. Education: PhD in Industrial Engineering from Purdue University (2015–2020) Bachelor of Engineering in Production Engineering from Jadavpur University (2010–2014) Dr. Pal's research interests bridge soft materials, robotics, and mechanical metamaterials, emphasizing applications in healthcare and autonomous systems. He explores omniphobic materials for smart bandages, magnetic putty for soft robotics, and hydrogel-based actuators. His work integrates mechanical computing and mechano-intelligence into functional materials. Notable contributions include waterproof electronic decals for biofluid monitoring, programmable magnetic devices, and low-cost smart bandage technologies. He is a recipient of the Humboldt Postdoctoral Fellowship (2020–2023) and has collaborated with the Max Planck Institute for Intelligent Systems. Labs/Teams: Soft Robot Mechanics Group at the University of Stuttgart Member of SimTech and BITS

• Control systems
• Mechatronics
• Precision engineering
• +۳ مورد دیگر

Chun-Yi Su is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on advanced control systems, mechatronics, robotics, and precision engineering. He specializes in nonlinear control, hysteresis compensation, and adaptive systems applied to soft actuators, UAVs, and smart materials. Key research areas include: Control of dielectric elastomer actuators Fault-tolerant cooperative control of unmanned aerial vehicles (UAVs) Adaptive neural network-based control for nonlinear systems Data-driven approaches for power electronics and energy systems Recent work emphasizes: Soft robotics actuation mechanisms Fractional-order control strategies Resilient control under cyber-physical attacks Biomimetic robotic systems His lab develops innovative solutions for smart materials, mechatronic systems, and autonomous robotics. Applications span renewable energy systems, biomedical devices, and aerospace engineering. Active in collaborative research with industry partners.

Sheldon Williamsonمشاهده پروفایل

استاد

• Electric Energy Storage Systems
• Power Electronics
• Transportation Electrification
• +۴ مورد دیگر

Dr. Sheldon Williamson is a Professor and NSERC Canada Research Chair in Electric Energy Storage Systems for Transportation Electrification at Ontario Tech University's Department of Electrical, Computer and Software Engineering, Faculty of Engineering and Applied Science. His research focuses on advanced energy storage technologies, power electronics, and their integration into transportation systems and smart grids. Education: Ph.D. (Electrical Engineering, Illinois Institute of Technology, 2006), M.S. (Electrical Engineering, Illinois Institute of Technology, 2002), B.E. (Electrical Engineering, University of Mumbai, 1999). Research Interests - Electric Energy Storage Systems for Transportation Electrification - Battery Management Systems (BMS) and Thermal Safety - Wireless Power Transfer and Charging Infrastructure - Cyber-Physical Security in EV Systems - Smart Grid Integration of Renewable Energy Publications : Over 50 peer-reviewed articles from 2021–2025, focusing on battery technologies, power electronics, and electrification challenges. Key themes include solid-state batteries, cloud-based BMS architectures, and dynamic wireless charging systems. No scientific awards explicitly listed in provided texts. Active in academic leadership and curriculum development within the department.

Karthika Prasadمشاهده پروفایل

پژوهشگر ارشد

• Carbon Nanoparticles
• Polymer Nanocomposites
• Biotechnology for Agriculture
• +۳ مورد دیگر

Karthika Prasad is a Senior Research Fellow at the Australian National University (ANU), affiliated with the ANU College of Systems & Society and the School of Engineering. She also serves as the Chief Technology Officer (CTO) of BudMore, an agritech company. Her research focuses on carbon nanoparticles, polymer nanocomposites, and biotechnology applications in agriculture, including smart plasma systems for agricultural innovation. Dr. Prasad holds a PhD in Science and Engineering from Queensland University of Technology (QUT, 2019), a Master’s in Nanoscience from VELS University (2014), and a BSc in Nanotechnology from the University of Wollongong (2012). Key achievements include the QUT Executive Dean’s Commendation for Outstanding Doctoral Thesis (2020) and the QUT Higher Achiever Award (2018). Her work spans biomedical applications of nanomaterials, aerospace materials, and sustainable technologies derived from natural products. Recent research trends highlight innovations in nanocomposite materials for medical implants, space technology, and agricultural systems. Professional contributions include postdoctoral research at QUT (2017–2020) and sessional academic roles. She has pioneered studies on plasma-activated solutions for disinfection and explored synergistic effects of plant metabolites with antimicrobial agents. Current projects emphasize functional nanomaterials from waste and low-value natural products, reflecting her commitment to sustainable technological advancements.

Xiaochun Liمشاهده پروفایل

استاد

• Scifacturing (science-driven manufacturing)
• Nanotechnology Enabled Metallurgy
• Scalable Nanomanufacturing
• +۲ مورد دیگر

Xiaochun Li is a Professor at the Department of Mechanical and Aerospace Engineering within the College of Engineering at the University of California, Los Angeles. Holding the Raytheon Endowed Professorship in Manufacturing Engineering, his work bridges materials science and advanced manufacturing technologies. Education: PhD (Mechanical Engineering, Stanford University, 2001), MS (Industrial, System and Welding Engineering, Ohio State University, 1997), BS (Mechanical Engineering and Applied Physics, Tsinghua University, 1992) Research Focus: Dr. Li specializes in science-driven manufacturing (scifacturing), leveraging nanotechnology to revolutionize metallurgy and scalable nanomanufacturing. His work explores smart manufacturing systems, additive manufacturing techniques, and nanoparticle-enabled phase control to overcome traditional material processing limitations. Publication Trends: His research spans nanoparticle integration in metals, fusion-based manufacturing innovations, and sensor-embedded process monitoring. Topics include unconventional welding methods, solidification control, composite synthesis, and thermal behavior analysis, reflecting interdisciplinary expertise in materials science, mechanical engineering, and nanotechnology. Scientific Recognition: Awards include the prestigious SME Frederick W. Taylor Research Medal (2025), ASME William T. Ennor Manufacturing Technology Award (2022), and Fellowships from ASME, SME, and the International Society of Nanomanufacturing. His NSF CAREER Award (2002) and multiple AFS honors highlight early-career impact. Laboratory: Dr. Li leads the Scifacturing Laboratory , which develops science-driven manufacturing solutions that address critical challenges in materials processing and industrial scalability.

Katie Plantمشاهده پروفایل

دانشیار

• Human Factors
• Ergonomics
• Transportation Safety
• +۴ مورد دیگر

Dr. Katie Plant is an Associate Professor at the University of Southampton, affiliated with the Centre for Defence and Security Research and the Transportation Research Group. Her research focuses on human factors in complex systems, including autonomous vehicles, transportation safety, and organizational adaptation. She leads projects such as REASON (resilient autonomous agents) and GEM (gender equitable micro-mobility guidelines). Current supervision includes PhD students in defense mobility and environmental engineering. Active collaborations involve the EPSRC/Mod Doctoral Training Centre and industry partners like the Chartered Institute of Logistics & Transport. Her work spans aviation safety, driver-cyclist interactions, and pandemic-era organizational resilience. She contributes to interdisciplinary initiatives like the STARS global road safety group. Research methods include simulation design (e.g., SUMO-Unreal Engine integration) and thematic analysis of human-system interactions. Notable contributions include advancing automation handover protocols, urban mobility equity frameworks, and human-centric design for emergency systems. Her projects address both technical and socio-organizational challenges in critical infrastructure systems.

Alexey Peregudinمشاهده پروفایل

مدرس

• Control Systems
• Optimal Control
• Adaptive Control
• +۵ مورد دیگر

Dr. Alexey Peregudin is a University Teacher in Control and Systems Engineering at the Department of Automatic Control & Systems Engineering (ACSE), University of Sheffield, UK (since 2023). He holds a PhD (Candidate of Technical Sciences) from ITMO University (2021), where he previously served as an Associate Professor (2022–2023) and Assistant Professor (2017–2022). His research focuses on optimal control under bounded disturbances, ellipsoid-based methods, adaptive control, and machine learning applications in control systems. He teaches courses such as AER124 (Analysis and Modelling of Aerospace Systems), ACS232 (Signals, Systems and Communications), AER203 (Control Systems), and ACS330 (Group Projects). Education: 2015: Bachelor’s in Control in Technical Systems (First Class Honours), ITMO University 2017: Master’s in Mechatronics and Robotics (First Class Honours), ITMO University 2021: PhD (Candidate of Technical Sciences), ITMO University (Thesis: Development of ellipsoid-based methods for disturbance/noise rejection) Research Interests: His work emphasizes robust control strategies, invariant/attractive ellipsoids methods, optimization, and integrating machine learning into control systems. He contributes to the Control Theory research group at ACSE. Teaching & Roles: Coordinates School Student Projects and teaches core engineering courses at the University of Sheffield. Previously held academic roles at ITMO University’s Faculty of Control Systems and Robotics.

• Electric Machines
• Finite Element Analysis
• Open Source Software
• +۳ مورد دیگر

Simone Ferrari is a Fixed-term Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino. He is a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and affiliated with the College of Electrical and Energy Engineering and College of Mechanical, Aerospace and Automotive Engineering as an invited member. His research focuses on electric machines, finite element analysis, and open-source software development for electromagnetic systems. He has supervised multiple PhD students in electrical engineering and has contributed to commercial consulting projects such as the design of electric motors for lifting applications and supervision of high-power motor development. Teaching responsibilities include courses on Propulsion of Hybrid and Electric Vehicles, Applied Electromagnetism, and Electrical Machines across multiple academic years. His work emphasizes multiphysics simulation, data-driven modeling, and the development of efficient traction motors for electric vehicles. Key research outputs include advancements in flux-map-based modeling, fault-tolerant motor designs, and thermal/structural scaling techniques for synchronous machines. Dr. Ferrari holds a patent for a method to identify spatial harmonic flux and torque maps without torque transducers. His recent publications (2024-2025) address challenges in electric motor efficiency, fault performance, and NVH mitigation, reflecting his commitment to advancing sustainable power electronics and clean energy technologies aligned with SDGs 7 and 9.

Ruggero Carliمشاهده پروفایل

دانشیار

• Control Systems
• Robotics
• Machine Learning
• +۶ مورد دیگر

Ruggero Carli is an Associate Professor at the Department of Information Engineering, University of Padova. His research focuses on control systems, robotics, and optimization, with emphasis on model-based reinforcement learning, distributed optimization algorithms, and energy systems. His work bridges theoretical advancements with real-world applications, including autonomous robotics, smart grids, and nonlinear control. Key contributions include physics-informed machine learning frameworks, ADMM-based distributed optimization methods, and MPC-driven control solutions for underactuated systems. Research interests include: Model-Based Reinforcement Learning for Robotics Nonlinear Model Predictive Control (NMPC) Distributed Optimization and ADMM Variants Energy Networks and Smart Grids Robot Dynamics and System Identification Recent publications emphasize: Continual learning for driver behavior analysis Physics-informed control for underactuated systems Robust optimization in unreliable networks Autonomous robotic manipulation with large language models His research integrates control theory with modern machine learning techniques, addressing challenges in edge computing, distributed systems, and real-time implementation.

Wenbin Liمشاهده پروفایل

مدرس ارشد

• Robotics
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Dr. Wenbin Li is a Senior Lecturer (Associate Professor) in Robotics at the University of Bath's Department of Computer Science. He leads the Pering Laboratory (Perceptual Intelligence Laboratory), affiliated with the AI & Machine Learning and Visual Computing groups. Previously, he held postdoctoral positions at Imperial College London (2016-2018) and UCL (2014-2016), and earned his PhD from the University of Bath in 2013, with earlier degrees from Imperial College London (MSc, 2009) and Xidian University (B.Eng, 2008). His research focuses on unified autonomous systems, including multi-sensory localization/mapping, dynamic motion capture, and uncontrolled scene understanding with applications in manufacturing and professional capture. Key areas include Robotics, Computer Vision, Graphics, and Machine Learning. He actively supervises doctoral students in these fields and has funded PhD openings. Dr. Li has been involved in major initiatives such as the My World - Strength in Places Fund (2021–2027), SLAM with Reinforcement Learning (2022–2023), and the CAMERA MC2 Award (2019–2023). His work aligns with UN Sustainable Development Goals, particularly in advancing technology for societal benefit. Recent publications emphasize aerial robotics, autonomous systems, and computer vision applications, including UAV package delivery reviews, Bayesian optimization for balloon station-keeping, and generative models for intrinsic image decomposition.

Christopher Carrمشاهده پروفایل

استادیار

• Astrobiology
• Space Instrumentation
• Planetary Science
• +۶ مورد دیگر

Christopher E. Carr is an Assistant Professor at Georgia Tech in the Daniel Guggenheim School of Aerospace Engineering with a secondary appointment in the School of Earth and Atmospheric Sciences. His research focuses on space instrumentation for life detection, particularly using single molecule technologies, and exploring the origin of life and planetary protection strategies. He directs the Planetary eXploration Lab (PXL) and co-leads the Georgia Tech Astrobiology Program. Education: Carr holds dual SB degrees in Aeronautics/Astronautics and Electrical Engineering from MIT (1999), an SM in Aeronautics/Astronautics (MIT, 2001), and a ScD in Medical Physics (Harvard-MIT, 2005). His academic career includes research roles at MIT (2008-2020) and postdoctoral training at MIT and Massachusetts General Hospital (2005-2008). Research Interests: He develops advanced instruments for astrobiological missions to Mars, Europa, and Venus, focusing on single-molecule detection technologies like nanopores and nanogaps. His work bridges astrobiology with bioastronautics, addressing human adaptation to space through studies of metabolism, aging, and extravehicular activity (EVA). Key areas include: Non-enzymatic RNA replication mechanisms Venus cloud particle analysis Mars sample return strategies Planetary protection protocols Machine learning applications for biosignature detection Publications: Over 70 peer-reviewed articles span instrument development, astrobiological theory, and space mission planning. Notable works include the Electronic Life-Detection Instrument (ELIE) concept and the Venus Life Finder Mission Study . Awards: Honors include the Jim Pope Faculty Fellowship (2023), MIT Catalyst Fellowship (2019), and US-Japan Leadership Program recognition. He advises NASA and the National Academies on astrobiology and human space exploration. Teaching: Courses include Space Instrumentation for Life Detection and Aerospace Technical Communication at Georgia Tech. He has mentored over 100 students across all academic levels, including leading the NASA Space Apps Challenge and the Air Spora stratospheric balloon project. Labs/Teams: Leads the Planetary eXploration Lab (PXL) and collaborates with the Space Systems Design Lab (SSDL). Active in international collaborations including the NASA NFoLD network and US-Japan innovation initiatives.

• Biomimetics
• Bio-inspired Design
• Animal Flight
• +۳ مورد دیگر

Prof. D. (David) Lentink is a Full Professor of Biomimetics at the University of Groningen, Faculty of Science and Engineering. His research focuses on understanding biological flight mechanics, particularly in birds, to inspire advanced robotics and aerospace innovations. He holds a PhD in Experimental Zoology (cum laude, Wageningen University, 2008) and dual MS/BS degrees in Aerospace Engineering (Delft University of Technology, 2003). Lentink leads the Biomimetics Group, pioneering projects like rudderless flight and morphing-wing drones. His work bridges biomechanics, robotics, and aerodynamics, with notable contributions to aerial grasping systems and biomimetic materials. Education: PhD cum laude, Experimental Zoology, Wageningen University (2008) MS/BS, Aerospace Engineering, Delft University of Technology (2003) Research Interests: Biomimetics, bio-inspired design, animal flight biomechanics, aerodynamics of flight, and aerial robotics. His lab develops cutting-edge tools like the Aerodynamic Force Platform to measure in vivo forces and advanced wind tunnels for precise flight studies. Awards: 2018 Steven Vogel Young Investigator Award 2017 National Academy of Engineering Gilbreth Lecturer 2013 World Economic Forum Top 40 Scientists Under 40 Grants & Labs: Lentink oversees grants from NSF, Human Frontiers Science Program, and Dutch Academic Year Prize. His lab collaborates globally and maintains ties with Stanford University’s former projects. Current focus includes biomimetic drones for complex environments and understanding turbulence adaptation in birds.

Raktim Bhattacharyaمشاهده پروفایل

استاد

• Uncertainty Quantification
• Robust Control
• Nonlinear Systems
• +۳ مورد دیگر

Raktim Bhattacharya is a Professor in the Department of Aerospace Engineering at Texas A&M University, serving as Director of the Graduate Studies Program. He holds a Ph.D. in Aerospace Engineering from the University of Minnesota (2003) and a B.Tech from IIT Kharagpur (1996). His research focuses on uncertainty quantification, robust control, and nonlinear systems, with applications in aerospace systems design and control. Dr. Bhattacharya leads the Intelligent Systems Research Laboratory (ISRL), advancing algorithms for next-generation aerospace systems operating in uncertain environments. His work integrates optimal control, stochastic modeling, and data-driven methods to enhance system reliability and performance. Notable contributions include probabilistic robustness analysis, model validation frameworks, and sparse sensing architectures. Recent research trends emphasize optimal transport theory for state estimation, privacy-aware machine learning, and sensor-actuator co-design for resource-constrained systems. His publications span topics like UAV configuration optimization, LPV control frameworks, and invariant set estimation using physics-informed neural networks. Dr. Bhattacharya’s lab collaborates on projects involving tensegrity structures, cyber-physical systems, and space situational awareness. His work addresses challenges in hypersonic flight dynamics, celestial navigation, and resilient control under actuator degradation.

Douglas Allaireمشاهده پروفایل

دانشیار

• Multidisciplinary design optimization
• Bayesian optimization
• Multifidelity methods
• +۴ مورد دیگر

Douglas Allaire is an Associate Professor and Sallie and Don Davis '61 Faculty Fellow in the J. Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University, part of the College of Engineering. He leads the Computational Design Laboratory, focusing on computational methods for complex engineered systems. His research spans multidisciplinary design optimization, Bayesian optimization, machine learning, and materials design. Education: Ph.D., Aerospace Engineering, Massachusetts Institute of Technology (2009) M.S., Aerospace Engineering, Massachusetts Institute of Technology (2006) B.S., Aerospace Engineering, Massachusetts Institute of Technology (2004) Research Interests: Bayesian optimization and uncertainty quantification Materials design using machine learning Autonomous experimentation and data fusion Predictive analytics for engineering systems Recent Trends in Publications: His work emphasizes integrating Bayesian methods with materials discovery, autonomous systems, and high-fidelity modeling. Key themes include optimizing multifidelity systems, inverse microstructure design, and real-time decision frameworks. Awards: ASEM Fellow (2024) AIAA Associate Fellow (2023) ASME Young Engineer Award (2018) Advising & Grants: Advised students like Jaylen James (Ph.D. 2022) and Danial Khatamsaz. Active in securing grants for computational design and materials research. Collaborates with institutions like the American Institute of Aeronautics and Astronautics. Labs & Teams: Directs the Computational Design Laboratory, part of the Engineering Systems Design Group. Engages in interdisciplinary projects with Texas A&M’s Multidisciplinary Engineering program.

Cathy McLellanمشاهده پروفایل

دانشیار

• Interventional Cardiology
• Cardiac Program Management
• Medical Education
• +۳ مورد دیگر

Cathy McLellan is an Associate Professor and Interim Division Chair of Cardiology at Queen’s University, a role she has held since December 2024. She joined the Queen’s Cardiology Division in 2003 and served as Chair from 2017 to 2022. Dr. McLellan is also an interventional cardiologist at Kingston General Hospital, where she leads clinical roles in Percutaneous Coronary Interventions and Cardiac Program Medical Direction (2017–2020). Her work focuses on expanding regional cardiac care programs, such as the Southeastern Ontario Regional MI program, and overseeing postgraduate training in cardiology. Her expertise spans clinical cardiology, healthcare leadership, and medical education. She has held key administrative roles, including directing the Cardiology residency program and contributing to institutional governance through divisional leadership positions. While no specific awards are listed, her contributions to clinical practice and education are central to her professional profile. Dr. McLellan’s current focus includes advancing cardiac care protocols and maintaining operational excellence in hospital-based cardiology services. No formal research grants or student advisement details are provided in the text, though her administrative roles suggest involvement in training future clinicians.