جست‌وجوی استاد و پژوهشگر

• Earth Systems
• Planetary Geoscience
• Continental Tectonics
• +۶ مورد دیگر

Kip Hodges is a Foundation Professor at the School of Earth and Space Exploration, Arizona State University (ASU). He leads the Group 18 Laboratories, focusing on noble gas isotope geochemistry and planetary geology. His work integrates field, laboratory, and theoretical approaches to study mountain formation, planetary processes, and impact events. His research interests span Earth Systems, Planetary Geoscience, Continental Tectonics, Earth Surface Processes, Cosmochemistry, and Planetary Geochemistry. He examines the geodynamic evolution of mountain belts like the Himalaya and Tibetan Plateau, utilizing thermal-kinematic modeling and noble gas isotope data. His planetary research includes lunar and Martian geochronology, impact crater analysis, and strategies for human-robotic collaboration in planetary exploration. Key projects include studies on the thermal evolution of terrestrial/extraterrestrial materials, diffusivity of noble gases, and the dynamics of continental subduction. His work contributes to understanding mountain-building, impact history of the Solar System, and future exploration missions. He directs the Group 18 Laboratories, renowned for innovative noble gas isotope geochemistry techniques to constrain thermal histories of terrestrial and extraterrestrial samples. The lab's work includes studies on noble gas diffusivity in planetary materials.

Brian Stemperمشاهده پروفایل

استاد

• Biomechanics of traumatic brain injury
• Biomechanics of spine injury
• Automotive safety
• +۴ مورد دیگر

Brian Stemper is a Professor in the Joint Department of Biomedical Engineering at Marquette University and Medical College of Wisconsin, and Professor in the MCW Department of Neurosurgery. He serves as Director of the Neuroscience and Biomechanics Research Laboratories at the Zablocki VA Medical Center in Milwaukee, where his research bridges engineering principles with clinical applications in trauma biomechanics. Dr. Stemper holds a PhD in Biomedical Engineering from Marquette University (2004) and a BS from Milwaukee School of Engineering (1998). His career progression includes positions as Assistant Professor (2004-2008), Associate Professor (2008-2017), and Professor (2019-present) across both institutions, with tenure awarded in 2023. His research focuses on biomechanics of traumatic brain injury, spine injury mechanisms, and automotive safety. Stemper's work examines how mechanical forces translate to biological damage in neural and spinal tissues, with particular interest in repetitive head impacts in sports, military aviation injuries, and automotive collision biomechanics. His laboratory develops experimental models to characterize injury thresholds and mechanisms. Analysis of his 15 most recent publications reveals consistent focus on spinal biomechanics (60%), traumatic brain injury (30%), and military/aerospace applications (10%). His work increasingly integrates computational modeling with experimental validation, particularly in personalized injury prediction and the effects of repetitive impacts. 2004 Best Paper by a Young Researcher, International Research Council on the Biomechanics of Impact 2006-2008 Listed in Who's Who in Science and Engineering 2007-2010 Listed in Who's Who in America 2008 Listed in Who's Who in the World 2009 Best Student Paper, Rocky Mountain Bioengineering Symposium 2010 NASS Best Poster Presentation, North American Spine Society Dr. Stemper has secured significant grant funding from NIH, Department of Veterans Affairs, Department of Defense, and Air Force Research Laboratory. His current research examines head impact exposure in athletes, neck and back pain in high-performance aircrew, and factors influencing addiction outcomes following brain injury. He has mentored numerous graduate students and serves on the Institutional Animal Care and Use Committee at the Zablocki VA Medical Center.

Anil Ufuk Batmazمشاهده پروفایل

استادیار

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۳ مورد دیگر

Dr. Anil Ufuk Batmaz is an Assistant Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on Virtual Reality (VR), Augmented Reality (AR), and Human-Computer Interaction, with emphasis on interaction techniques, immersive analytics, and motor skill training systems. He holds a BSc in Electrical and Electronics Engineering (2007-2011), an MSc in the same field (2011-2013), and a PhD in Biomedical Engineering (2015-2018). His work bridges engineering and cognitive science, investigating how visual and haptic feedback impact user performance in immersive environments. Research interests include: 3D interaction techniques for mid-air tasks Effects of display technologies on motor coordination Hybrid UI design for mixed reality systems Training systems for precision tasks using VR Recent publications emphasize evaluation of AR/VR interfaces in healthcare, sports training, and collaborative environments. His work has appeared in venues like IEEE TVCG, ACM CHI, and ISMAR, addressing challenges in spatial navigation, error feedback, and system reliability.

Stephen Bradforthمشاهده پروفایل

استاد

• Ultrafast Laser Spectroscopy
• Solar Energy Conversion
• DNA Photodamage Mechanisms
• +۷ مورد دیگر

Stephen Bradforth is a Professor of Chemistry at the University of Southern California and Senior Advisor to the Dean for Research Strategy and Development in the Dornsife College of Letters, Arts and Sciences . He earned his PhD in Physical Chemistry from the University of California, Berkeley (1992) and conducted postdoctoral research at the University of Chicago . B.A., Natural Sciences, Cambridge University (1987) Ph.D., Physical Chemistry, UC Berkeley (1992) Postdoctoral Associate, University of Chicago (1993–1996) His research focuses on ultrafast laser spectroscopy to study chemical reactions in complex environments like aqueous systems and molecular materials . Key projects include: Solar Energy Conversion : Investigating photosensitizers based on earth-abundant elements (Cu, Zn, Zr) and organic photovoltaics with BODIPY cores. DNA Photodamage : Mechanisms of cyclobutane pyrimidine dimer (CPD) formation under UV exposure, emphasizing base-stacking effects. Electronic Structure in Ethereal Solvents : Studying solvated electrons in liquid ammonia and their role in carbanion stabilization. His 15 most recent articles (2004–2024) highlight advancements in photoelectron spectroscopy , singlet fission for solar cells, and DNA damage pathways . Collaborations span medicine, physics, and engineering . Scientific Awards include the ACS Physical Chemistry Division Senior Experimental Award (2023) , STAR Awardee (2019) , Cottrell Scholar , and Fellow of APS and AAAS . He has received both Junior (2001) and Senior Raubenheimer Awards (2022) at USC. Advising has been a cornerstone, with 23 PhD students graduated and 4 current candidates. His 15 most recent publications (2012–2024) emphasize ultrafast dynamics , charge transfer mechanisms , and environmental photochemistry . Labs & Teams : The Bradforth Group operates advanced time-resolved photoelectron spectrometers , liquid microjet systems , and high-repetition-rate laser facilities . Current projects include metallic water solutions (Nature 2021), DNA photophysics (FASEB J 2011), and carbanion electronic structure in ammonia.

Rafail Ostrovskyمشاهده پروفایل

استاد

• Cryptography
• Secure Computation
• Garbled Circuits
• +۷ مورد دیگر

Rafail Ostrovsky is the Norman E. Friedman Chair in Knowledge Sciences at UCLA Samueli School of Engineering, where he serves as a Distinguished Professor of Computer Science and Mathematics. He also directs the Center for Information and Computation Security at UCLA. His academic leadership extends to his role as a foreign member of Academia Europaea and his fellowship in multiple prestigious organizations including the National Academy of Inventors, AAAS, ACM, IEEE, and IACR. Professor Ostrovsky's research spans multiple domains in theoretical computer science, with primary focus on cryptography, secure computation, and algorithms. His work on garbled circuits, zero-knowledge proofs, and private information retrieval has had significant theoretical and practical impact. He has pioneered research in secure multi-party computation, oblivious RAM, and cryptographic protocols that maintain privacy while enabling complex computations on sensitive data. His research bridges theoretical foundations with practical applications in secure systems, ranging from database security to hardware-based cryptographic primitives. Ostrovsky's publication record shows a consistent trajectory of innovation in cryptographic theory and its applications. His recent work focuses on optimizing secure computation protocols for efficiency while maintaining strong security guarantees, with particular attention to communication complexity, round complexity, and practical implementations. He has made significant contributions to homomorphic encryption, non-malleable commitments, and zero-knowledge proofs, often developing techniques that transform theoretical constructs into practically viable solutions. 1993 Henry Taub Prize 2017 IEEE Computer Society Edward J. McCluskey Technical Achievement Award 2018 RSA Award for Excellence in Mathematics (RSA Prize) 2022 W. Wallace McDowell Award (highest award from IEEE Computer Society) Fellow of National Academy of Inventors, AAAS, ACM, IEEE, and IACR Foreign member of Academia Europaea With over 350 peer-reviewed publications and 16 issued USPTO patents, Professor Ostrovsky has significantly shaped the field of cryptography and secure computation. His mentorship has cultivated numerous students and postdocs who have gone on to make their own contributions to the field. His editorial roles on prestigious journals including Journal of ACM and Algorithmica reflect his standing in the theoretical computer science community. His leadership extends to chairing major conferences including FOCS 2011 and serving on over 40 international conference program committees. As Director of the Center for Information and Computation Security at UCLA, Professor Ostrovsky leads a team focused on advancing the theoretical foundations and practical applications of secure computation. His center serves as a hub for interdisciplinary research connecting cryptography with systems security, network protocols, and hardware security. The center's work spans from foundational cryptographic primitives to real-world applications requiring privacy-preserving computation.

• Chaotic dynamics
• Averaging
• Motion in random media
• +۴ مورد دیگر

Dmitry Dolgopyat is a Professor of Mathematics at the University of Maryland, affiliated with the Department of Mathematics and the Institute for Physical Science and Technology (IPST). His primary research focuses on chaotic dynamics, averaging techniques, and motion in random media. He explores complex dynamical systems, including hyperbolic flows, billiards, and random walks, with applications to statistical physics and ergodic theory. Affiliations: University of Maryland Department of Mathematics, IPST Research Interests: Chaotic systems, mixing rates, limit theorems, random walks, and applications to statistical mechanics His work bridges pure mathematics and applied fields, with contributions to understanding ergodic properties, correlation decay, and probabilistic behavior in dynamical systems. He has published extensively in leading journals such as Annals of Mathematics, Duke Mathematical Journal, and Communications in Mathematical Physics.

• Numerical Modeling
• Geotechnical Engineering
• Renewable Energy Systems
• +۳ مورد دیگر

Dr. Liang Cui is an Associate Professor at the University of Surrey , affiliated with the School of Sustainability, Civil and Environmental Engineering and Institute for Sustainability . With a PhD from University College Dublin (2006) and BE (1st honor) from Tsinghua University (2002) , his career spans geotechnical research and education since joining Surrey in 2009. Key roles: Undergraduate Programme Leader (2020-2022, 2023-on), MSc Programme Leader for Advanced Geotechnical/Civil/Structural Engineering (2022-2023) Professional memberships: Chartered Engineer (CEng), Member of Institution of Civil Engineers (MICE), Fellow of Higher Education Academy (FHEA) His primary research focuses on numerical modeling (DEM/FEM) for geotechnical applications including offshore wind foundations , geothermal energy systems , methane hydrate exploitation , and extra-terrestrial soil mechanics . Secondary interests involve material characterization of polymeric foams , porous media , and biological tissues . Recent 15 publications (2023-2025) demonstrate expertise in soil-structure interaction for renewable energy infrastructure, thermal feedback in groundwater heat pumps, and hypothesis-driven DEM simulations for lunar/martian environments. Collaborative projects span institutions including Tsinghua University , University of Bristol , and Indian Institute of Technology Bhubaneswar . Scientific Awards: Sustainability Fellow (University of Surrey, 2023) Chartered Engineer (CEng) and MICE FHEA for educational contributions Dr. Cui supervises 7 postgraduate researchers and contributes to teaching modules in soil mechanics and energy geotechnics. His work addresses challenges in hybrid marine energy systems , needleless drug delivery , and seismic resilience of critical infrastructure.

• machine learning
• robotics
• machine vision
• +۹ مورد دیگر

Dr. Hamidreza Mohades Kasaei is an Associate Professor in the Department of Artificial Intelligence at the University of Groningen, Netherlands. He holds positions in both the Faculty of Science and Engineering and the Faculty of Medical Sciences/UMCG, focusing on Robotics and image-guided minimally-invasive surgery. His work bridges theoretical advances in machine learning with practical robotic applications. Dr. Kasaei's research focuses on developing algorithms for adaptive perception systems through interactive environment exploration and open-ended learning. His specific interests include 3D object perception, grasp affordance detection, object manipulation, and active perception. He has evaluated his research on various robotic platforms including PR2, UR5e, Kinova, Franka robotic arms, and humanoid robots. His work enables robots to learn from past experiences and intelligently interact with non-expert human users using data-efficient techniques. Analysis of his recent publications reveals strong trends toward increasingly sophisticated manipulation capabilities, particularly in dual-arm coordination and handling dense clutter. There's a clear progression toward integrating language models with robotic control systems, as seen in works like 'Lifelong Robot Library Learning' and 'Towards Open-World Grasping with Large Vision-Language Models.' His research consistently addresses real-world challenges in agricultural robotics, assistive technologies, and service robotics applications. Gratama Science Award (2022) Google Research Scholar Award in Machine Learning (2023) Outstanding Associate Editor for IEEE Robotics and Automation Letters (2023) Dr. Kasaei has successfully supervised multiple PhD students including Zhenxing Zhang (thesis on 'Generative Adversarial Networks for Diverse and Explainable Text-to-Image Generation') and Hamed Ayoobi (thesis on 'Explain What You See: Argumentation-Based Learning and Robotic Vision'). His research is supported by significant grants including the Google Research Scholar Award for 'Continual Robot Learning in Human-centered Environments' and various conference organization roles including workshops at RSS 2023 and NeurIPS 2022. He leads the Lifelong Interactive Robot Learning Lab (IRL-Lab), which focuses on six key research directions: Perception and Perceptual Learning, Object Grasping and Manipulation, Lifelong Interactive Robot Learning, Dual-Arm Manipulation, Dynamic Robot Motion Planning, and Exploiting Multimodality. The lab develops cutting-edge approaches for robots to learn in open-ended fashion through interaction with non-expert human users, with applications in assistive robotics for people with disabilities.

Maria Giuditta Fellinمشاهده پروفایل

مدرس

• Low-temperature thermochronology
• Mountain-building processes
• Landscape evolution
• +۳ مورد دیگر

Dr. Maria Giuditta Fellin is a Lecturer at the Department of Earth and Planetary Sciences at ETH Zurich, affiliated with the Institute of Geochemistry and Petrology. She is part of the Earth Surface Dynamics Group and specializes in low-temperature thermochronology, using fission-track and (U-Th)/He dating techniques on zircon and apatite to study mountain belt exhumation and erosion processes. Her work focuses on linking tectonic activity, erosion patterns, and long-term landscape evolution. Her research spans global tectonic regions including the Pamir, Alps, Apennines, and Andes. She teaches courses on sedimentary petrography, microscopy, geochronology, and climate-soil-water interactions. No specific scientific awards are listed in the provided information. Her technical expertise includes advanced geochronological methods and quantitative modeling of tectonic-erosional systems.

David Langeمشاهده پروفایل

دانشیار

• Fire Safety Engineering
• Structural Engineering
• Risk Analysis
• +۳ مورد دیگر

Associate Professor David Lange serves as Deputy Director of Higher Degree by Research at the School of Civil Engineering , University of Queensland . With academic qualifications from the University of Edinburgh (PhD and MSc), he specializes in fire safety engineering and structural engineering , focusing on timber buildings, lithium-ion battery fire safety, and risk analysis techniques. Chartered Engineer (CPEng), Fellow of Engineers Australia (FIEAust) Registered Professional Engineer of Queensland (RPEQ) APEC Engineer and International Professional Engineer (IntPE) His research explores fire behavior in mass timber structures , vertical fire spread , and infrastructure resilience . Publications highlight his expertise in probabilistic modeling, fire dynamics, and structural response to extreme conditions. Recent collaborative studies examine flame spread in ventilated façades, compartment fire behavior, and risk evaluation frameworks. He actively supervises PhD projects in areas like fire safety of low-carbon concrete, diagrid structures, and physics-informed machine learning for fire modeling.

Matthew B. Panzerمشاهده پروفایل

استاد

• Traumatic Brain Injury
• Injury Biomechanics
• Computational Biomechanics
• +۲ مورد دیگر

Matthew B. Panzer serves as Associate Dean for Graduate Education and Post-Doctoral Affairs at the University of Virginia's School of Engineering and Applied Sciences, holding professorships in Mechanical & Aerospace Engineering and courtesy in Biomedical Engineering. As Deputy Director of the Center for Applied Biomechanics, he leads research in impact biomechanics and injury prevention. Education: B.S. in Mechanical Engineering, University of Waterloo, 2003 M.S. in Mechanical Engineering, University of Waterloo, 2006 Ph.D. in Biomedical Engineering, Duke University, 2012 Research Focus: Panzer's work employs computational and experimental methods to investigate high-rate non-linear mechanics in tissue mechanics, impact biomechanics, vehicle crashworthiness, military blast/ballistics, and sports injury. Current projects include traumatic brain injury mechanisms in football helmet impacts, biological tissue characterization, human body model development for automotive safety, and protective system design. His approach integrates finite element modeling with experimental validation to translate biomechanical findings into clinical and safety applications. Publication Trends: Recent work (2022-2025) emphasizes brain injury metrics, sex-specific biomechanical responses, and finite element model validation across automotive, sports, and military contexts. Key themes include rotational loading effects, biofidelic model development, and injury risk function derivation, demonstrating strong interdisciplinary integration of neuroscience, engineering, and computational science. Awards: Shannon Fellow (2024-2027) Copenhaver Fellow (2023) MAE Early Career Researcher of the Year (2021, 2022) UVA Research Achievement Award (2019) MAE Young Research of the Year (2018, 2019) Grants and Teaching: Panzer has secured over 40 research grants as Principal Investigator from federal agencies and industry partners. He teaches graduate courses including MAE 6710: Finite Element Analysis (annually since 2015), MAE 7030: Injury Biomechanics, and MAE 6952: Impact Mechanics, mentoring graduate students in biomechanics research despite no specific advisees listed in source materials. Laboratory Leadership: At the Center for Applied Biomechanics, Panzer directs teams conducting experimental testing and computational modeling to advance injury mechanism understanding and develop protective technologies for automotive, sports, and military applications.

Zhou Zhouمشاهده پروفایل

استادیار

• Neurotrauma Prevention
• Biomechanical Modeling
• Medical Imaging
• +۵ مورد دیگر

Zhou Zhou is an Assistant Professor (tenure track) in Neuronic Engineering at KTH Royal Institute of Technology's Department of Biomedical Engineering and Health Systems. He is affiliated with the Digital Futures Faculty, a cross-disciplinary research center focusing on digital technologies for societal challenges. His research focuses on neurotrauma prevention, prediction, and protection through computational modeling, machine learning, and biomechanical validation. Dr. Zhou holds a PhD from KTH (2019) and completed postdoctoral training at Stanford University, specializing in sports safety and concussion prevention. His work is supported by VINNOVA, Swedish Research Council, and others. He received the 2025 Göran Gustafsson Prize for young researchers. Research interests include in silico modeling, fluid mechanics, and safety standardization for helmets. Zhou teaches courses such as Biomechanics and Neuronics (HL2035/CH213V) and leads labs in human and animal neurotrauma modeling. He seeks postdoctoral candidates for rat neurotrauma research. Education: PhD in Biomedical Engineering, KTH (2019); Postdoc at Stanford University (Sports Safety) Key Projects: InSilicoHealth ITN, helmet evaluation via virtual testing Labs/Teams: Neuronic Engineering Division, Digital Futures Collaboratory

Lauren Tompkinsمشاهده پروفایل

دانشیار

• Particle Physics
• High Energy Physics
• Dark Matter Detection
• +۵ مورد دیگر

Lauren Tompkins is an Associate Professor of Physics in the School of Humanities and Sciences at Stanford University, holding appointments in the Physics Department. Her research focuses on fundamental particle interactions through participation in major international experiments including the ATLAS experiment at CERN's Large Hadron Collider, the Light Dark Matter Experiment (LDMX) at SLAC, and the Heavy Photon Search (HPS) at Jefferson Laboratory. Her research interests span particle physics , dark matter detection , and advanced trigger systems . She investigates the Higgs boson's properties, searches for evidence of dark sectors through heavy flavor fermions, and develops FPGA-based real-time processing systems for particle detectors. Her group specializes in custom electronics for high-rate collision environments, particularly focusing on identifying rare events like Higgs boson production and potential dark matter signatures. Professor Tompkins' recent publications demonstrate strong focus on dark matter searches, Higgs boson physics, and advanced computing techniques. Her work bridges experimental particle physics with cutting-edge computational methods, particularly in deep learning applications for vertex reconstruction and FPGA-based trigger systems for the High Luminosity LHC upgrade. CAREER Award, National Science Foundation (2016-2021) Terman Fellow, Stanford University (2014-2017) US ATLAS Education and Public Outreach Award (awarded to group member Rocky Bala Garg) She actively mentors doctoral students and postdoctoral researchers, currently advising Elizabeth Berzin, Noe Gonzalez, Sadaf Kadir, and Rory O'Dwyer as Doctoral Dissertation Advisor. Her group participates in multiple collaborative projects including the NSF Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP) and contributes to the development of the ACTS open source software project. The Tompkins Group maintains active research programs across three major experimental facilities in Switzerland, California, and Virginia.

Chris Thachukمشاهده پروفایل

استادیار

• Computing + Biology
• Molecular Programming
• Synthetic Biology
• +۳ مورد دیگر

Chris Thachuk is an Assistant Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington . His research bridges computer science with molecular programming and synthetic biology, focusing on programmable matter at the nanoscale using bio-molecules like DNA. Current Position: Assistant Professor, University of Washington (2020–Present) Previous Positions: Senior Postdoctoral Researcher at Caltech (2014–2020), Postdoctoral Research Assistant & James Martin Fellow at Oxford (2012–2014) Education: PhD in Computer Science (2013), University of British Columbia MSc in Computer Science & Bioinformatics (2007), Simon Fraser University & CIHR/MSFHR Bioinformatics Training Program BCS in Computer Science (2005), University of Windsor Thachuk’s research spans computing + biology , with expertise in molecular programming , synthetic biology , and bioinformatics . His work includes algorithm design for DNA-based systems, thermodynamic modeling, and leakless strand displacement systems. Recent publications focus on DNA origami alignment , leakless strand displacement , compiler-aided DNA circuit design , and thermodynamic binding networks , reflecting interdisciplinary research in computer science, synthetic biology, and nanotechnology. Scientific Awards: James Martin Fellow at the Institute for the Future of Computing, Oxford Thachuk contributes to the Molecular Information Systems Lab (MISL) , collaborating with researchers like Erik Winfree and David Soloveichik. His work emphasizes integrating molecular biosensors with electronics for applications such as protein concentration measurement and DNA sequencing.

• Wireless Sensor Networks
• Cyber-Physical Systems
• Network Protocols
• +۳ مورد دیگر

John Harrison Kurunathan is an Integrated PhD Researcher affiliated with the CISTER Research Centre at the University of Porto, Portugal. He holds a PhD in Electrical and Computer Engineering (2021), a Master's in Very Large-Scale Integration (2014), and a Bachelor's in Electronics and Communication (2012). Education: PhD (2021) - University of Porto, Portugal MSc (2014) - SSN College of Engineering, Anna University BSc (2012) - SRM University His research focuses on Wireless Sensor Networks (WSNs) , Cyber-Physical Systems (CPS) , and Automotive Networks , with an emphasis on Quality-of-Service (QoS) optimization, secure communication, and vehicular platooning. Notable projects include SafeCOP for safety-related CO-CPS and work on IEEE 802.15.4e DSME networks. Recent publications (2023-2025) span areas like Visible Light Communication , Vehicular Security , and Machine Learning in UAV Operations , reflecting his interdisciplinary work bridging embedded systems and transportation technologies. Scientific Awards: Best oral communication Award (in ex aequo) at DCE 2019 Reviewing Roles: Conference: ICCPS, EWSN, MSN, RTN Journal: IEEE ACCESS, IEEE Transactions on Vehicular Technology, ACM Sigbed Harrison is actively involved in workshops and conferences, including chairing roles at WIN-WIN-4S 2024 and technical demonstrations at WoWMoM 2023. His work appears in venues like IEEE Transactions on ITS, IEEE COMST, and PDP 2025.