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Amir RahmatiView profile

Assistant Professor

• System Security
• Internet of Things (IoT) Security
• Augmented Reality (AR) Security
• +3 more

Amir Rahmati is an Assistant Professor in the Department of Computer Science at Stony Brook University , where he directs the Ethos Security and Privacy Lab and contributes to the Stony Brook National Security Institute . His research focuses on system security , with specific emphasis on the security and privacy challenges of emerging technologies such as IoT , AR , and ML systems . Teaching: Instructor of SBU102: Computer Security (Spring 2025) Collaborations: Frequent collaborations with institutions like University of Michigan, University of Toronto, and IEEE/USENIX conferences. Rahmati’s research addresses security vulnerabilities in resource-constrained devices and real-world ML applications. His work includes adversarial robustness in neural networks, attack synthesis on medical devices, and privacy-preserving frameworks for IoT ecosystems. Trends in his publications reveal a focus on practical system design to mitigate security threats in cyber-physical systems , augmented reality , and blockchain technologies . Prospective students: Rahmati seeks researchers with expertise in hardware/software, machine learning, network protocols, and security to tackle system-stack challenges in his lab.

Janick EdingerView profile

Professor

• Distributed Operating Systems
• Edge Computing
• Computation Offloading
• +7 more

Prof. Dr. Janick Edinger is a Professor of Distributed Operating Systems at the Department of Informatics, Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg, Germany. He leads a research group focused on distributed, context-aware, and adaptive computing systems, with a strong emphasis on edge computing, computation offloading, and assistive technologies. Education: PhD in Computer Science, University of Mannheim Studies at National Taiwan University Studies at University of Alberta, Canada Research stays at University of British Columbia, Hong Kong Polytechnic University, and Georgia State University, USA His research explores how edge computing and computation offloading can enable efficient, privacy-preserving processing of sensor and video data close to their sources, particularly in dynamic environments. He investigates the integration of autonomous and heterogeneous systems—such as drone fleets and mobile devices—into scalable middleware platforms for real-time monitoring and decision-making in logistics and industrial operations. His work also emphasizes societal impact, contributing to accessible routing, adaptive interfaces, and crowd-sourced mapping. The recent publications reflect a strong trend in edge computing, federated learning, privacy-preserving analytics, and assistive technologies. Topics include WebAssembly-based offloading, emotion prediction via eye tracking, real-time traffic detection, and predictive maintenance in Industry 4.0, showcasing a blend of foundational systems research and applied human-centered computing. Scientific Awards: PerCom 2021 Mark Weiser Best Paper Award Best Paper Award at IEEE PerCom 2021 for 'Voltaire: Precise Energy-Aware Code Offloading Decisions with Machine Learning' Prof. Edinger actively advises students and leads research projects involving grants and collaborations. His team includes PhD candidates and researchers working on middleware, edge systems, and context-aware applications. He has served on conference program committees, such as shadow PC member for EuroSys 2021, and publishes in top venues including IPDPS, PerCom, CHIIR, and COMPSAC. Labs and Teams: He leads the Distributed Operating Systems research group at the University of Hamburg, where he mentors students and collaborates on projects involving edge computing, IoT, and adaptive systems.

Xiaofan YuView profile

Assistant Professor

• Embedded Systems
• Edge AI
• Neuromorphic Computing
• +5 more

Xiaofan Yu is an Assistant Professor in the Department of Electrical Engineering at the University of California, Merced. He holds a Ph.D. (2025), M.S. (2020), and B.S. (2018) from the University of California, San Diego and Peking University, respectively. His research focuses on embedded systems , edge AI , and neuromorphic computing , with applications in IoT, federated learning, and hyperdimensional computing. ML&Systems Rising Star (2024) CPS Rising Star (2023) EECS Rising Star (2022) His work addresses on-device AI for real-world IoT deployments, reliability-driven sensor networks , and next-generation edge intelligence . Recent publications highlight advancements in federated learning (TIOT 2025), multimodal sensor interaction (IMWUT 2025), and noise-resilient sensor systems (Sensors 2024). Key subfields include hyperdimensional computing , asynchronous distributed training , and resource-efficient edge models . Dr. Yu actively mentors students across institutions and programs, including the Early Research Scholarship Program (UCSD) and ENLACE Summer Research Program. He has advised projects on smart elderly monitoring , LLM-based sensor reasoning , and hyperdimensional algorithm optimization . Collaborations span UCSD, TUM, and Stanford, with industry partnerships in IoT design automation (RelIoT simulator) and biomedical applications (bladder fullness restoration system).

David J. ThomsonView profile

Professor

• Photonics
• Silicon Photonics
• Optical Computing
• +3 more

Professor David J. Thomson is a Professorial Fellow in the Optoelectronics Research Centre (ORC) at the University of Southampton, holding a prestigious Royal Society University Research Fellowship. He pioneers photonics research for computing applications and LIDAR systems, commanding over £10 million in research funding and leading a 12-member team focused on novel photonic device development and electronic integration. Thomson's research centers on silicon photonics and optical computing, with critical advancements in high-speed optical modulators, photonic integrated circuits, and LIDAR technologies. His work drives innovations in programmable photonics using phase-change materials and the co-integration of photonic and electronic systems, enabling breakthroughs in energy-efficient data communication and next-generation computing architectures. Recent publications (2024-2025) reveal a dominant focus on silicon photonics for ultra-high-speed optical interconnects, featuring programmable circuits with Sb2Se3 phase-change materials, 224 Gbaud transmitters, and MOSCAP ring modulators with sub-5nm insulators. These works collectively address bandwidth and energy challenges in data centers and high-performance computing through monolithic integration and novel material systems. Scientific Awards: Royal Society University Research Fellowship Thomson actively supervises eight PhD students across the ORC and Department of Electronics and Electrical Engineering, while managing substantial grants exceeding £10 million from the Royal Society, EPSRC, Horizon Europe, and Huawei Technologies. His projects include DOLORES (Digital Optical Computing Platform), Tunnel Epitaxy of III-V on Silicon, and PIXEurope, targeting revolutionary photonic integration for neural networks and communications. He leads a specialized research team within the ORC's state-of-the-art facilities, focusing on photonic device design, fabrication, and characterization. This group collaborates on major European initiatives like Horizon Europe's DOLORES and PIXEurope, advancing silicon photonic platforms for optical computing and LIDAR applications.

Neil WhiteView profile

Professor

• Medical sensors
• Intelligent sensor systems
• Energy harvesting
• +2 more

Neil White is Professor of Intelligent Sensor Systems at the University of Southampton's Electronics and Computer Science (ECS) school and serves as Director of the ECS Centre for Healthcare. He has held various leadership positions including Head of Electronics and Computer Science from 2011 to 2015 and has been instrumental in establishing research initiatives in sensor technology and energy harvesting. His research interests focus on medical sensors , intelligent sensor systems , and energy harvesting technologies. Professor White's work bridges the gap between engineering and healthcare applications, with significant contributions to wearable medical devices, particularly respiratory monitoring systems. His research integrates micro-electromechanical systems (MEMS), energy harvesting techniques, and smart textiles to create innovative healthcare solutions. Analysis of his recent publications reveals a strong focus on energy harvesting technologies, medical sensor applications, and e-textile development. His work spans multiple disciplines including biomedical engineering, electrical engineering, and materials science, with applications in healthcare monitoring, environmental sensing, and transportation systems. The research demonstrates a consistent theme of creating self-powered, intelligent sensor systems for practical applications. Professor White has received notable recognition including the Callendar silver Medal (2009) from the Institute of Measurement and Control and the 1989 Educational Prize from the International Society for Hybrid Microelectronics. Principal Investigator on NIHR i4i project developing low-cost wearable respiration sensors Former Director and co-founder of Perpetuum Ltd., specializing in vibration energy harvesting Current collaborations with clinicians at University Hospital Southampton Extensive funding from EPSRC, European Union, and industry partners Professor White leads research within the Smart Electronic Materials and Systems group, the Institute for Life Sciences, and the Centre for Health Technologies. His work in the Interdisciplinary Musculoskeletal Health and Digital Health research areas demonstrates his commitment to cross-disciplinary collaboration to address complex healthcare challenges through engineering solutions.

Eduardo VellosoView profile

Professor

• Human-Computer Interaction
• Interaction Design
• Computer Science
• +8 more

Eduardo Velloso is a Professor of Computer Science at the University of Sydney , focusing on interaction design for emerging technologies . His work explores novel user experiences through input modalities, interaction devices, and AI/ML integration in systems. Education: PhD in Computer Science (Lancaster University, UK), Bachelor in Computer Engineering (Pontifical Catholic University of Rio de Janeiro, Brazil) Research Interests: Interdisciplinary work combining Human-Computer Interaction , Augmented/Virtual Reality , Eye Tracking , Wearable Computing , and Machine Learning . Publication Trends: Recent work addresses methodology in HCI , AR/VR applications , AI integration , and sensor-based interaction . Scientific Awards: Best Paper Award at CHI Best Paper Award at UIST Best Paper Award at TOCHI Best Paper Award at TEI Supervision: Actively supervises PhD students and collaborates with companies/government on projects like VR training systems and AI mediation tools . Labs/Teams: Affiliated with institutions in Australia (University of Sydney) and Brazil (PUC-Rio), with global co-authors in projects involving mixed reality , wearables , and AI ethics .

• Condensed Matter Physics
• Quantum Computing
• Nanotechnology
• +5 more

Yong Chen is a Professor of Electrical and Computer Engineering and Physics at Purdue University. His research spans quantum physics, nanotechnology, and materials science, focusing on advanced 2D materials, topological insulators, and quantum transport phenomena. Condensed Matter Physics Quantum Computing Nanotechnology Materials Science Photonics Spintronics Recent publications highlight his work on van der Waals heterostructures, Bose-Einstein condensates, Raman spectroscopy applications, and quantum interference effects. His studies often intersect with machine learning, energy storage, and synthetic magnetic field engineering of quantum systems. Yong Chen's email address is yongchen@purdue.edu , and further information can be accessed at his Purdue University profile .

Christopher E. CarrView profile

Assistant Professor

• Aerospace Engineering
• Bioengineering
• Bioinformatics
• +11 more

Christopher E. Carr is an Assistant Professor at the Daniel Guggenheim School of Aerospace Engineering in the College of Engineering at Georgia Institute of Technology, with a secondary appointment in the School of Earth and Atmospheric Sciences in the College of Sciences. He runs the Planetary eXploration Lab (PXL) and is a member of the Space Systems Design Lab (SSDL). His work focuses on searching for and expanding the presence of life beyond Earth while enabling a sustainable human future in space environments. Dr. Carr's research interests include: Astrobiology and space biology Development of life detection instruments Microbial habitability in extreme environments Molecular evolution and biosignature detection Miniaturization and integration of scientific instrumentation Interplanetary mission design Micro and nano device engineering for space applications His recent publications demonstrate a strong focus on life detection technologies, planetary exploration, and space biology. The articles span topics from developing biosignature detection methods to analyzing microbial survival in extreme environments, with particular attention to Mars, Venus, and Europa exploration. Scientific awards and recognitions include: Scott M. Johnson Fellow in the U.S. Japan Leadership Program Dr. Carr's laboratory affiliations include: Planetary eXploration Lab (PXL) Space Systems Design Lab (SSDL) He is affiliated with the Center for Space Technology and Research at Georgia Tech.

Omer T InanView profile

Assistant Professor

• Biomedical Engineering
• Medical Devices
• Physiological Monitoring
• +7 more

Omer T Inan is the Regents Entrepreneur Endowed Chair and Assistant Professor at the School of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology. His work bridges biomedical engineering and wearable technology, focusing on non-invasive physiological monitoring for chronic disease management. He holds a Ph.D. in Electrical Engineering from Stanford University (2009) and previously worked at Countryman Associates (2007-2013) as Chief Engineer, developing professional audio systems. Education: B.S., M.S., Ph.D. in Electrical Engineering, Stanford University (2004-2009) His research interests include medical devices for home-based cardiovascular monitoring, musculoskeletal sound analysis, and neuromodulation of stress responses. He has pioneered technologies for heart failure patients, PTSD treatment, and osteoarthritis diagnostics. Recent publications highlight innovations in AI-driven cardiac parameter estimation, motion artifact removal in seismocardiograms, and multimodal stress tracking via wearables. His work spans biomedical signal processing, clinical translation, and portable diagnostic systems. Scientific Awards 2024 IEEE Fellow 2023 IEEE Distinguished Lecturer 2023 American College of Cardiology Fellow 2022 American Institute for Medical and Biological Engineering Fellow 2021 Academy Award for Technical Achievement (The Oscars) 2018 ONR Young Investigator Award 2018 NSF CAREER Award At Georgia Tech, Inan leads the Inan Research Lab, which develops technologies for physiological monitoring and modulation. Projects include musculoskeletal sound analysis for joint health, non-invasive cardiovascular sensing, and neuromodulation to treat PTSD via vagal nerve stimulation.

T. Alan HattonView profile

Professor

• Electrochemical Separation Processes
• Carbon Capture
• Water Purification
• +4 more

T. Alan Hatton is a distinguished Professor in the Department of Chemical Engineering within the School of Engineering at the Massachusetts Institute of Technology (MIT). His career spans over four decades with significant contributions to electrochemical separation processes and sustainable engineering solutions. Current research focuses on developing next-generation electrochemical systems for critical environmental challenges. Education: Ph.D., University of Wisconsin, 1981 M.Sc. Eng, University of Natal, Durban, South Africa, 1976 B.Sc. Eng, University of Natal, Durban, South Africa, 1972 Professor Hatton's research centers on electrochemically-mediated separation processes , specifically targeting carbon capture from diverse sources (post-combustion flue gas, ambient air, and ocean water) and advanced water purification systems. His work integrates fundamental transport phenomena with innovative electrochemical engineering to create energy-efficient solutions. Key methodologies include redox-active materials, electro-swing adsorption, and molten salt electrochemistry, with strong emphasis on scalability and real-world implementation. Recent breakthroughs involve oxygen-stable quinone systems for direct air capture and marine carbon dioxide removal technologies. Analysis of his 15 most recent publications (2024-2025) reveals a concentrated focus on electrochemical CO 2 capture and conversion , with 87% of works directly addressing carbon management. Dominant themes include redox-active material design (particularly quinones and iron complexes), process thermodynamics optimization, and novel reactor architectures like fiber sorbents and photoelectrochemical systems. The research demonstrates consistent progression toward practical implementation, with increasing attention to marine carbon removal and integration with renewable energy sources. Scientific Awards: Founding Fellow, AIMBE, 1992 Merck Faculty Development Award, 1989 Class of '22 Career Development Chair, 1988 Presidential Young Investigator Award, NSF, 1985 Everett Moore Baker Award for Excellence in UG Teaching, MIT, 1983 Professor Hatton leads an active research group developing electrochemical separation technologies with significant industry and environmental impact. His laboratory operates at the intersection of fundamental electrochemistry and applied environmental engineering, securing sustained funding for projects targeting carbon capture scalability and water purification innovation. Current efforts focus on translating electro-swing adsorption technology to commercial applications through startup ventures, while maintaining strong educational contributions through MIT's chemical engineering curriculum. The research team maintains collaborations with national laboratories and industry partners to accelerate technology deployment.

Chee Kiat SeowView profile

Associate Professor

• Cyber Physical Security
• Wireless Communication Localization
• Internet of Things (IoT) with AI/ML
• +3 more

Dr. Chee Kiat Seow is an Associate Professor at the University of Glasgow's School of Computing Science. He holds a PhD from Nanyang Technological University (NTU) and an MSc from the National University of Singapore (NUS). His research focuses on cyber-physical security, wireless communication localization, and IoT systems leveraging AI/ML. He has led projects valued in the millions, winning awards like the IEEE Best Student Paper and National Instruments Engineering Impact Awards. Education: PhD (NTU), MSc (NUS) Research: Specializes in UWB positioning, spoofing detection, and IoT integration with 5G/GNSS. Teaching: Courses include Big Data, Software Engineering, and Data Analytics. His recent work addresses NLOS mitigation in indoor localization and cyber-physical security threats. Over 63 publications span journals like IEEE Transactions and conferences such as IPIN and WF-IoT. Supervised 6+ PhD/MSc students on topics like autonomous robotics and AI-driven localization. Grants: Includes $853K for 5G-X Smart Building projects and $797K for GNSS signal authentication. Awards: IEEE PIERS Best Student Paper (2019), NI Engineering Impact Awards (2015-2016). He advises on IoT and cybersecurity for organizations like ARTC and National Instruments. Active in IEEE Signal Processing and Computer Society.

Parth ChansoriaView profile

Lecturer

• Biofabrication
• Tissue Engineering
• Regenerative Medicine
• +7 more

Dr. Parth Chansoria is a Lecturer at the Department of Health Sciences and Technology at ETH Zürich, where he leads biofabrication research within the Tissue Engineering and Biofabrication (TEB) group. His work focuses on structured light technology for regenerative medicine applications, including in vivo bioprinting and microgravity-based tissue engineering. He holds Ambizione and Spark grants from the Swiss National Science Foundation and has pioneered innovations in light-guided biofabrication, collagen-based resins, and anisotropic tissue design. Research domains include: Filamented light biofabrication for aligned tissues Minimally invasive light-based in vivo bioprinting Musculoskeletal tissue engineering in microgravity Isotonic collagen-based photocrosslinkable resins He has secured over 6 patents and received prestigious awards including the ISBF Early Career Investigator Award (2022), Marie Curie Actions Fellowship (2021), and SME 30 Under 30 recognition (2021). His interdisciplinary research bridges bioengineering, materials science, and clinical applications. Key collaborations include projects at UNC Chapel Hill (USA) and NC State (USA), where he developed biomimetic patches for dynamic organ pathologies and ultrasound-assisted cell patterning. His lab explores novel bioinks, hybrid fabrication techniques, and translational applications in regenerative medicine.

Steve CollinsView profile

Associate Professor

• Biomechanics
• Robotics
• Prosthetics
• +3 more

Steve Collins is an Associate Professor of Mechanical Engineering at Stanford University, with a courtesy appointment in the Department of Bioengineering. His research focuses on wearable robotics, biomechanics, and human-machine interaction. He leads projects on exoskeleton optimization, prosthetic design, and energy-efficient robotic actuators. His work aims to improve mobility for older adults and individuals with mobility impairments through innovative assistive technologies. Research Interests: Collins explores biomechanical principles underlying human movement, exoskeleton torque control strategies, and the design of devices that reduce metabolic costs during walking. His lab develops both hardware (e.g., exoskeleton emulators) and software (e.g., AddBiomechanics modeling tools) to advance assistive technologies. Key Contributions: He pioneered human-in-the-loop optimization methods for exoskeleton control, demonstrated energy-saving designs for ankle exoskeletons, and investigated how exoskeletons can enhance balance and reduce fall risks. His team also developed the 'Tripod' prosthesis emulator and electrostatic clutch systems for energy-efficient actuators. Grants & Collaborations: His work is supported by NSF grants (e.g., NRI: Small grant for exoskeleton control) and industry partnerships. He collaborates with clinicians to translate robotic innovations into clinical applications for amputees and aging populations. Labs & Teams: His research is conducted in Stanford's robotics and biomechanics facilities, focusing on interdisciplinary projects at the intersection of mechanical engineering, bioengineering, and computer science.

Donguk LeeView profile

Assistant Professor

• Noise-Induced Hearing Loss
• Auditory Efferent Systems
• Otoacoustic Emissions
• +4 more

Donguk Lee is an Assistant Professor in the Department of Audiology and Speech Language Pathology at the University of North Texas. He holds a Ph.D. from the University of Tennessee Health Science Center (2023) and previously worked as an audiologist in clinical and hearing aid settings. He also served as a medic in the South Korean Navy, providing medical support in naval and land-based environments. His research focuses on preventing noise-induced hearing loss through studies of auditory efferent systems, leveraging techniques like otoacoustic emissions and auditory evoked potentials. Dr. Lee’s work addresses both clinical and environmental aspects of hearing conservation. His recent studies explore variability in medial olivocochlear reflex responses to noise exposure and the interplay between efferent unmasking and cortical processing. Earlier work assessed noise levels in stadiums, subways, and other public spaces, linking environmental noise to hearing health risks and public attitudes. He was awarded the 2022 Student Research Grant in Audiology from ASHA for his innovative contributions to hearing loss prevention. His articles span from 2014 to 2023, reflecting a trajectory from hearing aid technology development to advanced auditory physiology and environmental noise policy implications.

Renate SachseView profile

Researcher

• Motion Design
• Active and Adaptive Structures
• Biomechanics
• +6 more

Renate Sachse is a Researcher and Responsible Investigator at the Chair of Structural Analysis, Technical University of Munich (TUM), under Prof. Kai-Uwe Bletzinger. She holds a Dr.-Ing. from the University of Stuttgart and has held postdoctoral positions at Harvard University (Bertoldi Lab) and TU Munich's Institute for Computational Mechanics. Her research focuses on biomimetic adaptive structures, biomechanics, and smart materials. Education M.Sc. in Civil Engineering (University of Stuttgart, 2014) – Thesis: "Isogeometric Contact Analysis of Thin-Walled Structures" B.Sc. in Civil Engineering (University of Stuttgart, 2011) – Thesis: "Elementary School Pavilion Structural Analysis" Study Abroad: École Spéciale des Travaux Publics (ESTP, France, 2012) Research Interests Her work integrates principles from biology and mechanics to design adaptive structures, including motion design, soft robotics, and active metamaterials. Notable projects include studying snapping mechanisms in plants (e.g., Venus flytrap) and developing bio-inspired systems like Flectofold shading devices. She also explores isogeometric analysis and structural optimization for thin-walled and slender structures. Grants & Awards Bertha Benz Prize 2022 (Daimler and Benz Foundation) Klaus Tschira Boost Fund Fellowship (€80,000 interdisciplinary grant) 3rd Place AVK-Prize for Innovations (2017, Flectofold Shading System) GAMM Juniors Fellowship (2020–2022) Teaching & Grants She teaches advanced finite element methods and nonlinear mechanics at TUM and has supervised projects in computational mechanics. Her grants include CareerDesign@TUM funding and the Klaus Tschira Fellowship for high-risk, interdisciplinary research. Labs & Teams Associated with the Chair of Structural Analysis at TUM, collaborating on projects like livMatS (Living Materials Systems) and the Harvard SEAS Bertoldi Lab. Involved in software development (e.g., Carat++, Kiwi!3d) and third-party initiatives (CoDA, FlexWing).