جست‌وجوی استاد و پژوهشگر

William J. Beksiمشاهده پروفایل

استادیار

• Robotics
• Computer Vision
• Machine Learning
• +۷ مورد دیگر

William J. Beksi is an Assistant Professor at The University of Texas at Arlington's Department of Computer Science and Engineering, and director of the Robotic Vision Laboratory. His research focuses on robotics, computer vision, and machine learning, with applications in autonomous systems, agricultural robotics, and event-based vision. PhD, MS in Computer Science (University of Minnesota) BS in Mathematics and Computer Science (Stevens Institute of Technology) Dr. Beksi develops algorithms for robot perception and autonomy, emphasizing topological data analysis, control barrier functions, and 3D reconstruction. His work has been sponsored by NSF, USDA, DoD, and industry partners. Recent publications (2023-2025) span event-based vision, agricultural robotics, 3D vision, and safety-critical systems. Key trends include polynomial path planning for deception, edge-informed contrast maximization, and semi-supervised active learning frameworks. ONR Summer Faculty Fellow (2022-2024) NSF CRII Award (2020) IEEE Senior Member UTA CSE Rising Star Research Award (2024) Dr. Beksi advises PhD students in robotics and computer vision, including recipients of UTA Dissertation Fellowships and DoD SMART scholarships. His lab collaborates with institutions like krtkl, AFRL, and NSWCDD on projects ranging from UAV collision avoidance to lunar robotics.

Jonatan Bohr Braskمشاهده پروفایل

دانشیار

• Quantum Physics
• Quantum Information Science
• Quantum Thermodynamics
• +۴ مورد دیگر

Jonatan Bohr Brask is an Associate Professor in the Department of Physics at the Technical University of Denmark (DTU), specializing in Quantum Physics and Information Technology. His research focuses on quantum foundations, quantum thermodynamics, and quantum information science, with particular emphasis on nonlocality, entanglement generation, and randomness certification. He supervises multiple PhD projects exploring quantum computing architectures, error correction, and device-independent protocols. His work includes theoretical studies on autonomous quantum thermal machines, quantum contextuality, and the application of quantum mechanics to practical technologies like quantum key distribution and random number generation. Brask has contributed to advancing methodologies for quantum state discrimination and certification under experimental constraints. Notable collaborations involve developing novel frameworks for quantum repeaters and exploring the interplay between quantum coherence and thermal environments. His research has been published in high-impact journals such as Physical Review Letters and Quantum .

Wael Abughresمشاهده پروفایل

استادیار

• Communication Networks Modelling
• Performance Engineering
• Reliability Engineering
• +۶ مورد دیگر

Wael Abughres is an Assistant Professor of Communication Engineering at the University of Tripoli, affiliated with the Faculty of Engineering's Department of Electrical & Electronic Engineering in Tripoli, Libya. He also served as Director of the Information & Communication Technology Centre at the university. Education: M.Sc. (Electrical & Electronic Engineering) from the University of Tripoli (2000) Ph.D. in Communication Engineering (specializing in Call Admission Control modeling in 3G networks) from the University of Bradford, UK (2009) Research Interests: Performance and reliability engineering using MOSEL language Networking and wireless communication systems Cloud computing and fiber optic communication Open access education and distance learning methodologies No specific publications or awards are listed, though he has authored 12 journal/conference papers in his field. Professional activities include membership in technical committees and teaching roles in both Libya and the UK. Advising & Grants: No formal advisees or grants are documented.

Pavlos Lazaridisمشاهده پروفایل

استاد

• Wireless Communication Systems
• Antenna Design
• 5G/6G Networks
• +۵ مورد دیگر

Pavlos Lazaridis is a Professor in Electronic and Electrical Engineering at the University of Huddersfield's School of Computing and Engineering. His research focuses on antenna arrays , beamforming , 5G/6G wireless systems , and machine learning applications in telecommunications. He leads EU Horizon 2020 projects ITN-MOTOR5G and RISE-RECOMBINE. Research expertise includes RF engineering , digital broadcasting , and ultra high definition TV Active publication areas: electromagnetic compatibility, partial discharges, and evolutionary algorithms With over 2,697 citations (Google Scholar h-index 26), his work intersects telecommunications and artificial intelligence . Current projects address B5G/6G ecosystem challenges , including non-terrestrial network security and 3D beamforming optimization .

Nima Tabatabaeiمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Medical Imaging
• Optical Microscopy
• +۵ مورد دیگر

Nima Tabatabaei is an Associate Professor in the Department of Mechanical Engineering at The Lassonde School of Engineering, York University. He serves as the Graduate Program Director. His research focuses on biomedical engineering, particularly in instrumentation of medical devices, optical microscopy, and photo-thermal technologies for diagnostic applications. Key interests include biomedical optics, AI-driven sensing, and early disease detection. Research highlights include developing low-cost photo-thermal devices for point-of-care diagnostics, advanced optical coherence tomography (OCT) techniques for ophthalmic and dental applications, and optofluidic systems for imaging organisms like C. elegans. His work bridges engineering and medicine, with applications in personalized healthcare and non-invasive diagnostics. Publications emphasize innovations in photothermal sensing, microfluidic platforms, and thermal imaging for early detection of dental caries, ocular defects, and infectious diseases. His contributions include handheld devices for rapid antigen/antibody detection and AI-enhanced image processing to improve diagnostic accuracy. Notable achievements include the development of a tethered confocal endomicroscopy capsule for diagnosing gastrointestinal conditions and low-cost optofluidic add-ons for microscopy. His lab (HBO Lab) at York University focuses on translating these technologies into clinical and field-ready solutions.

Mohammad Ali Miriمشاهده پروفایل

دانشیار

• Optics
• Photonics
• Quantum Computing
• +۷ مورد دیگر

Mohammad Ali Miri is an Associate Professor of Optics and Photonics at the Department of Physics within the School of Mathematics and Natural Sciences at Queens College of the City University of New York. His research focuses on advanced optical systems, quantum computing, and photonic integrated circuits, with particular emphasis on applications in signal processing, sensor technology, and optimization. He holds a BSc in Electrical Engineering from Shiraz University (2004-2008), followed by MSc degrees in Electrical Engineering (Sharif University of Technology, 2008-2010) and Optics (CREOL, University of Central Florida, 2010-2013), as well as an MSc in Physics (University of Central Florida, 2011-2013). He earned his PhD in Optics from CREOL, University of Central Florida (2010-2014). Miri's research interests span topics such as programmable photonic networks, quantum-assisted optimization, laser array synchronization, and topological photonics. Recent work includes innovations in photonic matrix multipliers, entropy-based quantum computing paradigms, and microwave beam steering systems. His lab actively seeks graduate students interested in experimental and theoretical photonics research. He teaches courses on electromagnetism and electromagnetic theory, including PHYS 311 (Electromagnetism II) and PHYS 615.2 (Electromagnetic Theory II). His work has been published extensively in high-impact journals, with a focus on interdisciplinary applications of optics and photonics.

Ge Wangمشاهده پروفایل

استاد

• Artificial Intelligence in Medical Imaging
• Computed Tomography
• Deep Learning Reconstruction
• +۲ مورد دیگر

Ge Wang is the Clark & Crossan Endowed Chair Professor and Director of the Biomedical Imaging Center at Rensselaer Polytechnic Institute. A pioneer in computed tomography and AI-based medical imaging, he developed the cone-beam spiral CT method and leads the 'AI4TMI' initiative as Editor-in-Chief of IEEE Transactions on Medical Imaging. His cross-disciplinary appointments span Biomedical Engineering, Electrical and Computer Engineering, and the Center for Computational Innovations. Education: Ph.D. in Electrical and Computer Engineering, University at Buffalo M.S. in Remote Sensing, University of Chinese Academy of Sciences B.E. in Signal Processing, Xidian University Research focuses on AI-driven tomographic reconstruction, low-dose CT, photon-counting systems, and multi-modality imaging integration. Key innovations include deep learning frameworks for image enhancement, virtual CT workflows, and foundation models for medical diagnostics. Recent work emphasizes generative AI for synthetic medical data creation and physics-inspired neural networks. Publication analysis reveals three dominant themes: 1) Advanced reconstruction algorithms for low-dose CT, 2) Multimodal foundation models for cancer screening, 3) AI-optimized hardware interfaces. His 15 most recent articles demonstrate consistent focus on improving diagnostic accuracy while reducing radiation exposure. Awards and Honors: IEEE EMBS Career Achievement Award (2021) SPIE Meinel Technology Award (2022) Sigma Xi Chubb Award for Innovation (2022) RPI Wiley Distinguished Faculty Award (2023) IEEE NPSS Hoffman Medical Imaging Scientist Award (2023) AAPM Edith H. Quimby Lifetime Achievement Award (2025) Advises PhD students on photon-counting CT, MRI reconstruction, and AI applications. Secured over $40M in funding from NIH, NSF, GE Healthcare, and NVIDIA. Directs the Wang-AXIS Lab, collaborating with FDA, Stanford, and Harvard on projects like the NIH-funded cardiac CT initiative. Leads the Biomedical Imaging Center's 25+ member team developing next-generation imaging systems. Current projects include real-time tomographic scanners, nanoparticle-enabled MRI, and hybrid CT-MRI platforms. The lab maintains open-source repositories for AI-based reconstruction algorithms.

Matthew Dalvaمشاهده پروفایل

استاد

• Synaptic Development
• Synaptic Function
• Neurobiology
• +۴ مورد دیگر

Matthew Dalva is a Professor of Cell and Molecular Biology at Tulane University, holding the Phyllis M Taylor Presidential Chair and serving as Director of the Tulane Brain Institute. He earned his Ph.D. in Neurobiology from Duke University in 1996. His research focuses on synaptic development and function, particularly mechanisms governing synapse formation, NMDA receptor regulation, and synaptic nano-architecture. The Dalva Lab employs advanced techniques like super-resolution microscopy (STED) and genetically encoded kinase activity reporters to study synapses in vivo. Research interests include synaptic plasticity, Eph/ephrin signaling pathways, and pain mechanisms. His team explores how synaptic structures adapt to activity and injury, with implications for neurological diseases like ALS and chronic pain. The lab is part of the School of Science & Engineering and collaborates on multidisciplinary projects combining molecular biology, biochemistry, and microscopy. Recent work highlights the role of EphB2 and ephrin-B2 in pain plasticity, synaptic module organization, and spinal cord neuroprotection. Open positions exist for postdoctoral researchers and lab managers skilled in molecular biology and imaging. Tulane Brain Institute affiliations enhance translational research efforts, emphasizing innovation in synaptic tools and technology.

Kelsey Bissonمشاهده پروفایل

استادیار

• Ocean Biogeochemistry
• Remote Sensing
• Lidar and Satellite Oceanography
• +۳ مورد دیگر

Kelsey Bisson is an Assistant Professor in the Department of Botany and Plant Pathology at Oregon State University, currently on detail at NASA Headquarters, Earth Science Division. Her research focuses on ocean biogeochemistry, leveraging remote sensing technologies and numerical models to study marine ecosystems from polar to global scales. Specializes in satellite-based lidar and ocean color data analysis Investigates phytoplankton processes under sea ice and extreme events' impacts on oceans Advocates for cross-disciplinary collaboration with artists and lawmakers Recent work involves developing open-source tools like icepyx for ICESat-2 data integration and exploring climate change trends in ocean ecology indicators. Her publications highlight advancements in satellite marine science and biogeochemical modeling.

Paul Wetmoreمشاهده پروفایل

دانشیار

• Structural Geology
• Tectonics
• Magmatic Systems
• +۶ مورد دیگر

Paul Wetmore is an Associate Professor in the Department of Geology at the University of South Florida (USF), affiliated with the School of Geosciences within the College of Arts and Sciences. His research focuses on structural geology, tectonics, and magmatic systems, with global fieldwork extending to regions like Mexico, Armenia, Canada, and the U.S. Cordillera. He teaches courses such as Structural/Tectonics and Geological Field Studies. Education: B.S. in Geology, SUNY College at Brockport (1994) M.S. in Geology, Idaho State University (1998)—specializing in volcanism, geochemistry, and tectonics Ph.D. in Geology, University of Southern California (2003)—specializing in structure-tectonics and petrochemistry Research Interests: Wetmore’s work examines the structural and magmatic evolution of continental margins, including the Peninsular Ranges Batholith and the Snake River Plain. He investigates processes like pluton emplacement, mass transfer, and the tectonic integration of accreted terranes. Recent projects include geophysical studies of volcanic fields (e.g., Idaho’s Lost River Valley) and fault slip rates in California and Baja California. Publications & Trends: His 15 most recent articles (2025–2014) emphasize geophysical methods (e.g., gravity inversion, LiDAR), fault dynamics, and magmatic systems. Key themes include 3D subsurface imaging of volcanic domes, seismic analysis of the Stanley earthquake, and tectonic evolution of the Peninsular Ranges. Awards: Best Professional Paper (Peninsular Geological Society, 2002) USC Dissertation Fellowship (2002–2003) Multiple teaching awards at USC (2000–2001) Advising & Grants: Wetmore advises graduate students on projects ranging from fault slip rates to pluton emplacement. He collaborates with institutions like the University of Arizona (BATHOLITHS project) and contributes to field camps in Idaho and Mexico. His research is supported by NSF grants and international partnerships. Labs & Teams: Active in USF’s Crustal Dynamics Group and the Petrology, Geochemistry, and Planetary Science Group. Collaborators include Helge Alsleben, Scott S. Hughes, and Mihai Ducea.

A. Agung Juliusمشاهده پروفایل

استاد

• Systems and Control Theory
• Systems Biology
• Theoretical Computer Science
• +۳ مورد دیگر

A. Agung Julius is a Professor at the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute and serves as Associate Dean for Research and Graduate Studies in the School of Engineering. He is also a faculty member of the Rensselaer Center for Automation Technologies and Systems, the Center for Mobility with Vertical Lift (MOVE), and the Center for Lighting Enabled Systems and Applications (LESA). Dr. Julius received his Bachelors degree in Electrical Engineering from Institut Teknologi Bandung (ITB) in Indonesia (1998), and MSc and PhD in Applied Mathematics from the University of Twente in the Netherlands (2001 and 2005). Prior to joining Rensselaer, he was a Postdoctoral Researcher at the GRASP Lab at the University of Pennsylvania. His research lies at the intersection of systems and control theory, systems biology, and theoretical computer science. Key research areas include networks in molecular biology, microbiorobotics (using both bacteria and eukaryotic cells as microactuators), human-powered formal controller synthesis, and abstraction of complex hybrid systems. His work often bridges theoretical developments with practical applications in robotics and biological systems. His recent publications (2023-2025) demonstrate a strong focus on multi-agent systems, human-autonomy teaming, circadian rhythm control, time series analysis, and industrial robotics applications. These works reflect his interdisciplinary approach, combining control theory with applications in robotics, biology, and human factors engineering. National Science Foundation CAREER award (2010) School of Engineering Award for Research Excellence (2016) James M. Tien'66 Early Career Award for Faculty (2017) Best Application Paper Award at URAI 2013 Finalist for Best Paper Award at IROS 2013 Dr. Julius has advised numerous graduate students including Sina Afshari, Nick Cooper, Andy Winn, Yan Ou, and Yi Deng. His research has been supported by the National Science Foundation, Army Research Office, and Rensselaer Polytechnic Institute. He serves as Associate Editor for several prestigious journals including the IFAC Journal of Nonlinear Analysis: Hybrid Systems and IEEE Transactions on Automation Science and Engineering.

Alex CHINمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Plasma Physics
• Quantum Dynamics
• +۳ مورد دیگر

Alex CHIN is a CNRS Research Fellow at the Institute of Nano-sciences of Paris (INSP) affiliated with Sorbonne Université. He holds a HDR (Habilitation à Diriger des Recherches) from Sorbonne Université (2022) and has been a member of the PHOCOS research group since 2018. His expertise spans Machine Learning and Plasma Physics, with a focus on quantum systems and organic semiconductors. Research interests include quantum energy harvesting, non-Markovian dynamics, and exciton-polariton phenomena in nanomaterials. His work integrates computational methods (e.g., tensor networks) and experimental collaborations. Awards: CNRS IRP 'TQUEHOOS', ANR ACCEPT, Winton Fellowship (2012-2015), and Robinson College Fellowship (2013). Collaborations: Universities of Cambridge, Cornell, and industrial partners like Dstl and Microsoft Research. His research bridges theoretical physics, nanotechnology, and computational modeling, with applications in quantum technologies and optoelectronics.

• Quantum Gravity
• Quantum Sensing
• Macroscopic Quantum Systems
• +۳ مورد دیگر

Igor Pikovski is Assistant Professor of Physics at Stevens Institute of Technology. He researches quantum phenomena at the interface with gravity, including quantum sensing, macroscopic quantum systems, and quantum information science. Awards: NSF CAREER Award, Branco Weiss Fellowship, Stevens Presidential Fellowship Research Breakthroughs: Proposed novel methods for graviton detection, quantum tests of curved spacetime, and gravitational entanglement protocols Publications: 65+ papers including Nature Physics and Nature Communications, with 15,000+ citations (h-index:65). Current grants include NSF CAREER and DOE awards.

• Quantum Information Science
• Quantum Physics
• Non-Markovian Quantum Systems
• +۳ مورد دیگر

Ting Yu is a Professor and Chair of the Department of Physics at the Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology. She holds a PhD in Physics from Imperial College London (1997). Her research focuses on quantum information science, quantum physics, and quantum technology, particularly in non-Markovian dynamics, quantum entanglement, and quantum metrology. She has secured NSF and DARPA grants and serves on editorial boards for journals like Quantum Information and Entropy . Her work spans theoretical modeling of quantum systems, quantum feedback control, and quantum coherence dynamics. Education: PhD (1997), Physics, Imperial College London, UK Research Interests: Entanglement and decoherence in quantum nanodevices Continuous quantum measurement and feedback control Non-Markovian quantum open systems Quantum phase transitions and topological computation Grants: NSF Grant (2008–present): Theory of Quantum Dynamics of AMO Systems DARPA Grant (2009–present) Professional Contributions: Editorial roles: Quantum Information , Entropy , Scientific Reports Reviewer for NSF panels and funding agencies Member, American Physical Society (APS) and Optical Society of America (OSA) Key Publications: Her recent work includes studies on non-Markovian quantum trajectory methods, quantum synchronization protocols, and entanglement generation in optomechanical systems. She has contributed to foundational topics like quantum Fisher information and modular operators in supersymmetric systems.

Anin Puthukkudyمشاهده پروفایل

پژوهشگر

• Aerosol Measurement and Instrumentation
• Remote Sensing of Aerosols and Clouds
• Multi-Angle Polarimetry
• +۳ مورد دیگر

Anin Puthukkudy is a dedicated Atmospheric Physicist affiliated with the University of Maryland Baltimore County (UMBC) as an Assistant Research Scientist at the Earth and Space Institute (GESTAR II). His primary focus is aerosol measurement and instrumentation, with expertise in remote sensing techniques using multi-angle polarimeters. He holds a Ph.D. in Atmospheric Physics from UMBC (2021), a Master's (2016), and a Bachelor's in Engineering Physics from NIT Calicut (2013). His research emphasizes aerosol property retrieval using instruments like HARP2 and AirHARP, alongside algorithm development for aerosol and ocean color inversion. Key contributions include pre-launch calibration of AirHARP, HARP2 on-orbit performance analysis, and neural network-based radiative transfer models. He has authored/co-authored over 20 peer-reviewed articles and presented at major conferences like AGU and IAC. Anin has secured awards including the CIDER2024 grant and travel fellowships. He leads projects on HARP2 aerosol retrieval algorithms, instrument calibration, and HPC cluster development for data analysis. Beyond academia, he is an active reviewer for journals like Remote Sensing of Environment and contributes to open-source tools like the NASA PACE Data Reader. His technical skills span programming (Python, MATLAB), instrument design, and remote sensing algorithms. He is committed to advancing climate science through cutting-edge remote sensing technologies.