جست‌وجوی استاد و پژوهشگر

Omar Rifaie Grahamمشاهده پروفایل

مدرس

• Artificial Cells
• Polymersome Nanoreactors
• Polymer Chemistry
• +۵ مورد دیگر

Dr. Omar Rifaie Graham is a Lecturer (Assistant Professor) in Chemistry at Queen Mary University of London's School of Physical and Chemical Sciences, joining in September 2023. He leads a research group focused on polymer-based artificial cells to study physicochemical parameters underlying biological phenomena and develop technologies at the Living/Non-Living Interface. Previously, he held postdoctoral positions at Imperial College London and the University of Fribourg, Switzerland. Education: Licenciado in Pharmacy (BSc+MSc), Universidad Complutense de Madrid, Spain (2008–2014) PhD in Chemistry, Adolphe Merkle Institute – University of Fribourg, Switzerland (2014–2018) Research Interests: Development of artificial cells using polymer nanocontainers, stimuli-responsive materials (light, hydromechanical stress), and applications in biotechnology, therapy, and diagnostics. His work includes creating polymersomes with novel functionalities for drug delivery, diagnostics, and synthetic biology. Key Achievements: ACS PMSE Future Faculty Award (2023) Swiss Nanoscience Institute 'Best paper in nanoscience' (2021) Best PhD thesis in Experimental Sciences, University of Fribourg (2019) Co-founded a diagnostics company spun from his PhD research (1M+ USD funding) Grants & Collaborations: Royal Society Grant: £29,907 (2025–2026) National Institute for Health Research Grant: £315,942 (2020–2025) RSC Grant for 'Mimicking colour perception with artificial cells' (2024) Lab/Team: Directs a research group at Queen Mary's Department of Chemistry, collaborating with institutions like Imperial College London and the University of Fribourg. Active in synthetic biology, nanomedicine, and biomimetic materials.

Ali Khazaeiمشاهده پروفایل

استاد

• Renewable Energy
• MEMS Systems
• Vehicle Dynamics
• +۷ مورد دیگر

Ali Khazaei is a Professor in the Department of Mechanical Engineering at Kennesaw State University. He has held academic roles since 1988, including Assistant Professor at Southern Polytechnic State University (SPSU) starting in 2008 and previous adjunct roles. His research focuses on renewable energy, MEMS systems, vehicle dynamics, thermal analysis, and nonlinear dynamics. He holds a Ph.D. in Mechanical Engineering from Tehran Azad University (1998), an MSc from the University of Tehran (1987), and a BSc from the same institution (1982). Education: Ph.D., Mechanical Engineering, Tehran Azad University (1998) MSc, Mechanical Engineering (Heat & Fluids), University of Tehran (1987) BSc, Mechanical Engineering, University of Tehran (1982) Research Interests: Dr. Khazaei’s work spans renewable energy technologies, MEMS thermal behavior, autonomous vehicle dynamics, and interdisciplinary strategies to enhance engineering education. His research emphasizes practical applications in sustainability, thermal modeling, and vibration isolation systems. Publications Overview: His recent work includes studies on tire models for autonomous vehicles, MEMS thermal dynamics, and suspension systems. Earlier contributions addressed nonlinear dynamics, microresonator analysis, and interdisciplinary education strategies. Advising & Grants: No formal advisee名单 or grant details provided. His professional experience includes roles as a design engineer and consultant in Iran, focusing on construction and mechanical systems.

• Energy Harvesting
• Piezoelectric Materials
• Biomedical Engineering
• +۳ مورد دیگر

Lin Dong is an Assistant Professor in the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology (NJIT). His research focuses on advanced energy harvesting technologies, particularly in piezoelectric materials, flexible electronics, and their biomedical applications. He leads a federally funded project (NSF grant) titled Membranous Energy Harvester with Tuning Capability for Flexible Electronics , which explores energy harvesting systems for wearable and implantable devices. His research interests include the design of self-powered sensors, piezoelectric hydrogels, and nature-inspired nanofibers for health monitoring. Notable contributions include amphibious energy generators, helical piezoelectric hydrogels for human-machine interfaces, and flexible sensors for cardiac monitoring. His work bridges materials science, biomedical engineering, and mechanical systems, with applications in smart health and wearable technology. Dr. Dong’s publications (29+ articles) emphasize energy harvesting innovations, with 16+ citations. His articles highlight trends in flexible, bio-integrated energy systems and multimodal sensing. He collaborates on projects involving body sensor networks and tunable energy harvesters for flexible electronics. He has secured a 2021 NSF grant (PI) and generated media attention for advancements in flexible energy harvesting and nanofiber research. His lab develops cutting-edge materials and devices for sustainable energy solutions and healthcare applications.

• Soft Robotics
• Actuators
• Self-Healing Materials
• +۴ مورد دیگر

Julie Legrand is an Assistant Professor in the Mechanical Engineering department at Eindhoven University of Technology , affiliated with the Group Van de Molengraft. Her work focuses on soft robotics , self-healing materials , and medical robotics applications . She designs actuators and sensors for adaptive robotic systems, emphasizing resilience through self-healing mechanisms and embodied intelligence. She teaches courses including Control of a Flexible Robot System , Haptics and Soft Robotics , and Robot-Arm , reflecting her expertise in both theoretical and applied robotics. Her research spans actuator design , material science integration , and minimally invasive surgical robotics , with notable contributions to self-healing actuator validation and continuum robot end-effectors for surgical applications. Legrand collaborates internationally on topics like shape memory alloys and anisotropic materials , and her work has been featured in media for breakthroughs in self-healing polymer limitations in soft robots. She actively contributes to the Medical Robotics research theme at TU/e, advancing interdisciplinary approaches to robotic systems in healthcare.

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.

Daniel Quinnمشاهده پروفایل

دانشیار

• Fluid-Structure Interactions
• Biomechanics
• Bio-Inspired Robotics
• +۲ مورد دیگر

Daniel Quinn is an Associate Professor at the University of Virginia, jointly affiliated with the Department of Mechanical and Aerospace Engineering and the Department of Electrical and Computer Engineering. He is a member of the Link Lab, focusing on Cyber-Physical Systems, particularly autonomous vehicles and bio-inspired robotics. His roles include teaching courses like Aerodynamics I and Fluid Mechanics. Education: BS in Aerospace Engineering (University of Virginia), PhD in Mechanical & Aerospace Engineering (Princeton University). Postdoctoral research at Stanford University and visiting fellowships at Harvard University's Museum of Comparative Zoology. Research focuses on Fluid-Structure Interactions, Biomechanics, Bio-Inspired Robotics, Energy-Harvesting, and Cyber-Physical Systems. Key projects include studying ground effects on propulsion, fish schooling dynamics, and self-powered breath sensors. Notable awards include the NSF Career Award (2020), Pi Tau Sigma Outstanding Faculty Award (2021–2023), and the Hartfield Excellence in Teaching Award (2024–2025). His work bridges experimental optimization, computational modeling, and interdisciplinary collaboration. Grants include DURIP support for advanced research facilities. Lab locations include Olsson Hall and 122 Engineer’s Way. Active in media, featured in articles on teaching excellence and UAV design innovations.

Dewei Yiمشاهده پروفایل

مدرس ارشد

• Computer Vision
• AI-enabled Healthcare
• Hybrid Intelligent Systems
• +۱۶ مورد دیگر

Dewei Yi is a Senior Lecturer (Associate Professor) in the Department of Computing Science, School of Natural and Computing Sciences at the University of Aberdeen, UK. He holds a PhD from Loughborough University and is an active researcher in AI, computer vision, and intelligent systems. He serves as Director of the MSc AI and MSc Robotics and AI programmes. Research Interests: His research spans AI-enabled healthcare, medical image processing, intelligent vehicles, robotics, precision agriculture, remote sensing, and applied machine learning. He focuses on hybrid intelligent systems, personalised AI, federated learning, fairness, and explainability. Recent Publication Trends: His latest work includes medical image quality evaluation using contrastive learning, federated learning for diabetic retinopathy, UAV-based solar panel inspection, vascular image analysis, and emotion recognition from ECG data, reflecting a strong trend toward healthcare and intelligent systems with real-world impact. Scientific Awards: Fellow of the Higher Education Academy (FHEA) Outstanding Reviewer, Transportation Research Part C (TRC) Advising and Grants: Dr Yi supervises multiple PhD students in AI, computer vision, and machine learning. His graduated PhDs include Debinal Bakyavathi Rajan, Sami Hamid Al Sulaimani, and Adinath Abhimanyu Ghadage. He has secured significant funding as PI and Co-PI, including a £408K Smartawl 5.0 project and a £794K Cancer Research UK grant (Co-PI). Labs and Teams: He leads research in AI for healthcare and intelligent vehicles, collaborating with institutions like University of Warwick, Loughborough University, and industry partners such as AVL Powertrain Ltd. His work is supported by interdisciplinary teams focusing on embedded AI, medical applications, and sustainable technologies.

Sebastian Schlückerمشاهده پروفایل

استاد

• Surface-Enhanced Raman Spectroscopy (SERS)
• Plasmonics
• Nanophotonics
• +۱۲ مورد دیگر

Prof. Dr. Sebastian Schlücker is a full professor in the Department of Physical Chemistry at the University of Duisburg-Essen , where he leads the Molecular Biophotonics and Nanodiagnostics research group within the Faculty of Chemistry. He is actively engaged in research, teaching, and academic leadership, with a strong focus on advanced spectroscopic techniques for biomedical and analytical applications. His research interests lie at the intersection of nanophotonics, plasmonics, and bioanalytical chemistry . Key areas include surface-enhanced Raman spectroscopy (SERS) , single-particle spectroscopy , laser diagnostics , and the design of functionalized metal colloids for biosensing and tumor diagnostics. He emphasizes a theory-guided approach combining simulation and experiment to tailor nanoparticle properties. His recent publications (2023–2025) reflect a strong trend toward quantitative, label-free molecular diagnostics , point-of-care testing , and in situ monitoring of catalytic and biological processes . The work spans fundamental plasmonics to clinical applications, particularly in cancer detection and immunoassays using SERS nanotags. International Raman Innovation Prize He mentors students and researchers, supervises theses, and collaborates widely across disciplines. His group develops advanced instrumentation, including portable SERS readers , fs-laser laboratories , and automated nanoparticle synthesis systems (e.g., BONAPARTE robot). He teaches master’s courses such as NanoBioPhotonics and Optical Spectroscopy , and is involved in STEM outreach.

Qijia Shaoمشاهده پروفایل

استادیار

• Mobile Computing
• HCI
• Ubiquitous Computing
• +۷ مورد دیگر

Qijia Shao is an Assistant Professor at The Hong Kong University of Science and Technology (HKUST), specializing in Mobile Computing, Human-Computer Interaction (HCI), and Ubiquitous Computing. He earned his Ph.D. in Computer Science from Columbia University (2024), advised by Prof. Xia Zhou and Prof. Fred Jiang, with prior degrees from Dartmouth College (M.Sc.) and UESTC (B.Sc.). His research focuses on developing unobtrusive systems for human physical/physiological signal sensing, integrating machine learning, signal processing, and hardware design to address societal challenges in healthcare, education, and human-computer interaction. Educational Background: Ph.D., Computer Science, Columbia University (2024) M.Sc., Dartmouth College B.Sc., UESTC Visiting Student, National Chiao Tung University (EECS) Research Assistant, Missouri S&T Research Interests: Deployable systems for human state analysis via physical/physiological signals (e.g., ECG, movement) Generalizable AI algorithms for low-overhead data interpretation Hardware-software co-design for imperceptible sensing Applications in healthcare (e.g., Kangaroo Mother Care monitoring), education, and consumer electronics Awards & Recognition: MobiSys 2024 Best Paper and Demo Awards NSF Funding & Rising Stars Honors ACM UbiComp Gaetano Borriello Award Finalist Editorial Board Member (ACM IMWUT, since 2024) Lab & Collaborations: Director of the Ubiquitous X Lab at HKUST Industry partnerships with Samsung, Snap, and Philips Research International conference TPC roles (MobiSys, SenSys) and keynote speaking engagements

Mathew Yarossiمشاهده پروفایل

استادیار

• Movement Neuroscience
• Motor Physiology
• Clinical Research
• +۵ مورد دیگر

Mathew Yarossi is an Assistant Professor at Northeastern University with a joint appointment in the College of Engineering (Electrical and Computer Engineering) and Bouvé College of Health Sciences (Physical Therapy, Movement, and Rehabilitation Sciences). He holds a PhD from Rutgers University (2017) and joined Northeastern in 2022. Research Focus: His work bridges movement neuroscience, clinical research, and engineering, with emphasis on AI-driven solutions for rehabilitation. Key areas include physiological signal processing, neuromuscular control, and human-robot interaction. His NSF-funded project on dyadic object handover with robots highlights his interdisciplinary approach. Publications: Recent work explores VR-based interventions, EMG-driven prosthetics, and computational modeling of transcranial stimulation. His 2025 patent on virtual reality experiment design underscores his translational impact. Awards: Holds a patent for VR experiment systems (2025). Advising & Grants: Mentors students in PEAK Experiences programs and collaborates with the U.S. Army on AI applications in combat systems. His lab is part of the Institute for Experiential AI.

Leila Methnaniمشاهده پروفایل

پژوهشگر

• Artificial Intelligence Ethics
• Explainable AI (XAI)
• Trustworthy AI
• +۵ مورد دیگر

Leila Methnani is a doctoral student at the Department of Computing Science at Umeå University . Her research focuses on ethical and sociotechnical challenges in artificial intelligence, particularly in areas such as AI alignment , trustworthy AI , and human-AI collaboration . She has published extensively on topics including Explainable AI (XAI) , MLOps , and hybrid human-AI systems . Her recent work explores: Trustworthy AI in variable autonomy robotic systems Explainable and counterfactual-based AI interfaces for industrial operators Operationalizing AI ethics through socio-technical assessments Real-time reactive planning with social norms in multi-agent systems She has co-authored publications in journals such as Ethics and Information Technology , ACM Computing Surveys , and Frontiers in Artificial Intelligence . She is reachable via email at leila.methnani@umu.se .

• Distributed control
• Autonomy and Control
• Aerospace Systems
• +۶ مورد دیگر

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.

Christina Tringidesمشاهده پروفایل

استادیار

• Neural Engineering
• Soft Materials
• Hydrogels
• +۴ مورد دیگر

Christina Tringides is a tenure-track Assistant Professor in Materials Science and NanoEngineering at Rice University, affiliated with the Neuroengineering Initiative (NEI). She holds the CPRIT Scholar in Cancer Research title and leads the Tringides Lab, which develops soft materials and neurotechnologies for neural system interfaces. Her interdisciplinary work spans from cellular to organ levels, addressing both in vivo and in vitro applications. Education: B.S. in Materials Science & Engineering and Physics from MIT (2015); Ph.D. in Biophysics from Harvard University (2022) under David Mooney. Postdoctoral research at ETH Zürich with Janos Vörös as an ETH Fellow. Recognized with awards including the WIMA laureate (2023), NSF GRFP (2017), and Fulbright Scholar (2015). Research focuses on hydrogels, bioelectronics, and implantable electrode arrays. Key projects include biomimetic in vitro platforms for neural studies and viscoelastic biohybrid interfaces for neuromodulation. Her lab’s innovations aim to advance neurological disorder treatments and diagnostics. Scientific contributions include over 20 peer-reviewed articles, with recent work emphasizing conductive hydrogels, synaptic stimulation systems, and immunotherapy biomaterials. Active in professional organizations like the Materials Research Society and American Chemical Society.

• Precision Machine Design
• Medical Device Design
• Renewable Energy Systems
• +۵ مورد دیگر

Professor Alexander Slocum holds the Walter M. May (1939) and A. Hazel May Chair in Emerging Technologies at MIT's Department of Mechanical Engineering within the School of Engineering. A distinguished educator and researcher, Slocum has made significant contributions across precision machine design, medical device innovation, and renewable energy systems. His research interests span precision machine design for medical devices and energy industry applications, with particular focus on offshore renewable energy storage systems and kinematic couplings. Slocum's work bridges theoretical mechanical engineering principles with practical applications that address real-world challenges in healthcare and sustainable energy. His recent publications demonstrate a strong emphasis on bio-inspired engineering, underwater energy storage systems, and medical device innovation. The articles reveal a consistent pattern of applying fundamental mechanical engineering principles to solve problems in healthcare delivery and renewable energy storage, often with a focus on practical implementation in resource-constrained environments. NSF Presidential Young Investigator (1987) MacVicar Faculty Fellow (1999) Massachusetts Professor of the Year Award (2000) Multiple R&D 100 Awards (1994-2010) ASME Leonardo da Vinci Award (2004) ASME Machine Design Award (2008) ASME Ruth and Joel Spira Outstanding Design Educator Award (2018) National Academy of Inventors Fellow (2021) Slocum actively mentors students through MIT's Experimental Study Group (which he directs) and his renowned 2.75/2.750 Precision Machine Design courses. His educational approach emphasizes hands-on learning and real-world problem solving, particularly through medical device design projects developed in collaboration with Boston-area clinicians. His research has been supported by significant grants from the NSF, Department of Energy, and military research agencies. His PERG (Precision Engineering Research Group) lab fosters interdisciplinary collaboration, bringing together mechanical engineers, materials scientists, and medical professionals to develop innovative solutions for healthcare and energy challenges. The lab is particularly known for its work on kinematic couplings, hydrostatic bearings, and bio-inspired engineering solutions.

• Swarm Robotics
• Artificial Intelligence
• Collective Decision Making
• +۵ مورد دیگر

Nicolas Cambier is a Visiting Professor at Vrije Universiteit Amsterdam, affiliated with the Faculty of Science's Artificial Intelligence department and the Network Institute. His research focuses on swarm robotics, collective behavior, and evolutionary systems. He explores topics like emergent communication, modular robotics, and prosociality in robotic swarms. Key areas include task-driven language evolution, adaptive decision-making, and environmental interaction in constrained environments. His work bridges theoretical models with practical implementations, emphasizing self-organization and cultural evolution in synthetic systems. Recent contributions address challenges in heterogeneous swarms, skill acquisition in modular robots, and decision-making without prior knowledge. He collaborates widely, with publications in IEEE Robotics and Automation Letters, Nature Communications, and top conferences like GECCO and Distributed Autonomous Robotic Systems. Research interests span robotics, artificial intelligence, and evolutionary computation, with applications to both theoretical frameworks and real-world robotic systems. His studies often involve agent-based simulations and embodied evolution approaches to understand complex collective phenomena.