جست‌وجوی استاد و پژوهشگر

Ngoc Cuong Nguyenمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Molecular Mechanics
• Nanophotonics
• +۷ مورد دیگر

Ngoc Cuong Nguyen is a Principal Research Scientist in the Department of Aeronautics and Astronautics at MIT and a member of the MIT Center for Computational Engineering. His research focuses on computational mechanics, numerical simulation, and advanced numerical methods such as hybridizable discontinuous Galerkin (HDG) methods for multi-scale and multi-physics problems. Education: PhD in High Performance Computation for Engineered Systems (2005), National University of Singapore BEng in Aeronautical Engineering (2001), Ho Chi Minh City University of Technology Research Interests: Computational Mechanics, Molecular Mechanics, Nanophotonics Numerical Simulation & Optimization, Scientific Computing, Machine Learning Reduced Basis Methods, High-Order Methods (e.g., HDG), Uncertainty Quantification Key Projects: Development of HDG methods for fluid dynamics, structural mechanics, and electromagnetics Plasmonic nanostructure simulations using quantum hydrodynamic models Space weather modeling via GPU-accelerated HDG approaches Optimization of photonic crystals and nanostructured materials Large-eddy simulation (LES) of hypersonic flows and buffet phenomena Labs & Teams: Active contributor to the MIT Center for Computational Engineering, leading projects in numerical methods, computational fluid dynamics, and interdisciplinary applications of advanced simulation techniques.

• Dark Matter
• Black Holes
• Gravitational Waves
• +۳ مورد دیگر

Gianfranco Bertone is a Professor at the Faculty of Science, University of Amsterdam, specializing in astrophysics and theoretical physics with a focus on dark matter, black holes, and gravitational waves. His work bridges cosmology and particle physics through multi-messenger approaches. Research Interests: Dark matter detection via gravitational wave signatures Black hole binary dynamics in dark matter environments Relativistic simulations of extreme mass ratio inspirals Multi-messenger astronomy and fundamental physics Cosmological simulations for dark matter distribution Publication Trends: Recent works emphasize gravitational wave astronomy's role in dark matter studies, including waveform distortions from dark matter spikes, boson cloud effects in black hole binaries, and simulation-based inference for astrophysical observations. His research spans theoretical modeling, computational astrophysics, and observational constraints.

• Augmented Reality
• Virtual Reality
• Mixed Reality
• +۶ مورد دیگر

Abey Campbell is an Assistant Professor in Computer Science at the School of Computer Science, University College Dublin. He holds roles such as Deputy Programme Director for Computer Science, Director of UCD VR Lab, and 1st Year Stage Coordinator. His research focuses on Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Multi-Agent Systems with applications in education, healthcare, and human-computer interaction. Campbell has coordinated modules like Augmented and Virtual Reality, Computer Graphics, Game Development, and Mobile Computing. He earned his BSc and PhD in Computer Science from University College Dublin. His work explores touchless interaction technologies, machine learning agents in STEM education, and ethical implications of emerging technologies. Notable contributions include RenderKernel for real-time rendering systems and studies on AR's role in decision support systems. Campbell has secured a grant from Enterprise Ireland for collaborative design documentation and participates in professional activities like peer reviewing for Frontiers in Virtual Reality and IEEE conferences. His collaborative projects include developing AR tools for veterinary training and evaluating immersive VR experiences in nursing education. The UCD VR Lab under his direction focuses on applied research in spatial computing and interactive systems.

Dollas Apostolosمشاهده پروفایل

استاد

• Reconfigurable Computing
• Hardware Architecture
• Embedded Systems
• +۴ مورد دیگر

Professor Dollas Apostolos serves as a Professor in the School of Electrical and Computer Engineering at the Technical University of Crete (TUC), where he has held leadership roles such as Department Chairman. He directs the Microprocessor and Hardware Laboratory, focusing on reconfigurable computing, embedded systems, and high-performance digital systems. His work emphasizes rapid prototyping and real-world implementation of computational solutions. Education: Ph.D., Computer Science, University of Illinois at Urbana-Champaign (1987) M.Sc., Computer Science, University of Illinois at Urbana-Champaign (1984) B.Sc., Computer Science, University of Illinois at Urbana-Champaign (1982) Research Interests: Reconfigurable computing architectures FPGA-based acceleration for bioinformatics and genomics Embedded systems and real-time processing Hardware-software co-design for high-performance computing His research bridges theoretical innovation with practical applications, such as FPGA implementations for genome assembly and aquaculture monitoring systems. Publications: Recent work highlights FPGA-based solutions for bioinformatics (e.g., genome assembly acceleration), real-time embedded systems (e.g., fish cage net monitoring), and scalable data processing frameworks. His articles often explore the intersection of FPGA technology with computational biology, embedded vision, and distributed systems. Awards and Affiliations: Senior Member, IEEE and IEEE Computer Society Recipient of IEEE Computer Society Golden Core and Meritorious Service Awards Twice honored with the University of Illinois Teaching Excellence Award He is a co-founder of IEEE conferences like FCCM and RSP, reflecting his leadership in the reconfigurable computing community. Teaching and Labs: Teaches courses on computer architecture, logic design, and VLSI design. The Microprocessor and Hardware Lab under his direction drives advancements in FPGA-based systems, with projects ranging from bioinformatics hardware accelerators to embedded vision systems.

• Space Plasma Physics
• Heliospheric Physics
• Interstellar Medium
• +۵ مورد دیگر

Harald Kucharek is a Research Professor in the Physics & Astronomy Department at the University of New Hampshire (UNH), part of the College of Engineering and Physical Sciences. He is affiliated with the Space Science Center and holds a dual Ph.D. in Physics from the Technical University of Munich and an M.S. in Physics from the University of Regensburg. His research focuses on heliospheric physics, interstellar medium interactions, and space plasma dynamics, leveraging data from missions like IBEX and Solar Orbiter. Dr. Kucharek's work centers on understanding the global structure of the heliosphere, interstellar neutral gas flow, and particle acceleration at shocks. He has contributed to studies of pickup ions, energetic neutral atoms (ENAs), and magnetic reconnection processes. His teaching includes courses on Space Plasma Physics and Magnetohydrodynamics of the Heliosphere. He has been involved in over 22 grants (2005–2024), including mission-related research for IMAP and interstellar probe concepts. Key research trends include analyzing IBEX observations of interstellar helium and oxygen, investigating shock dynamics and ion acceleration, and modeling the heliospheric boundary. His recent work explores the implications of hybrid simulations and multi-spacecraft data for understanding plasma behavior in extreme environments. Collaborations with institutions like NASA and ESA highlight his role in advancing space physics through both observational and theoretical contributions.

Wenchao Geمشاهده پروفایل

استادیار

• Quantum Information Science
• Quantum Optics
• Quantum Metrology
• +۳ مورد دیگر

Wenchao Ge is an Assistant Professor in the Department of Physics at the University of Rhode Island . Previously, he held faculty positions at Southern Illinois University (2020–2022) and was a postdoctoral researcher at institutions including Texas A&M University and the U.S. Army Research Lab. He earned his Ph.D. in Physics from Texas A&M University (2015) and a B.S. in Applied Physics from Xi’an Jiaotong University (2009). His research focuses on theoretical quantum optics and quantum information science , with emphasis on quantum sensing, quantum computing, and quantum communication. His group explores fundamental limits of quantum mechanics for information processing, including protocols for multi-parameter sensing, parametric amplification in trapped-ion systems, and quantum resource theories. He leads the Ge Quantum Theory Group , which collaborates with experimentalists to advance quantum technologies. Research interests: Quantum metrology, quantum computing, trapped-ion systems, and optomechanical systems. Notable achievements: Developed protocols for Heisenberg-limited quantum sensing and quantum-enhanced entangling gates. Published in Nature Physics , Phys. Rev. Lett. , and Phys. Rev. A . Teaching: Courses on quantum entanglement and quantum information science. He has received grants from NSF (ExpandQISE and quantum sensing programs) and the SIU Open Textbook Initiative. He was elected Secretary/Treasurer of the APS New England Section (2023) and actively participates in international conferences and quantum education initiatives. His group advises graduate and undergraduate students on projects spanning theoretical and applied quantum physics, including summer internships and capstone research.

Kallol Settمشاهده پروفایل

دانشیار

• Risk and Reliability
• Civil Infrastructure
• Extreme Events
• +۵ مورد دیگر

Kallol Sett is an Associate Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo (SUNY), within the School of Engineering and Applied Sciences. His research focuses on risk and reliability analysis of civil infrastructure under extreme events, with expertise in uncertainty quantification, multi-hazard resilience, and geomechanics. He leads the Risk and Reliability Research Group, which develops computational tools integrating physics-based and data-driven modeling, stochastic calculus, and high-performance computing. Education includes a PhD from the University of California, Davis (2007), an MS from the University of Houston (2003), and a BE from Jadavpur University (1997). His work is funded by NASA, NSF, USDOT, NIST, and industry partners. Key research themes include probabilistic geotechnical site characterization, stochastic simulation of seismic ground motion, and life-cycle cost-benefit analysis of infrastructure systems. Advising includes mentoring over 10 PhD and MS students, with notable alumni now in academia and industry roles such as Assistant Professors at Embry-Riddle Aeronautical University and Tianjin University. His lab’s recent studies address real-time decision support systems for hurricane-impacted infrastructure, resilience deficit indices, and multi-hazard financial risk assessment of integrated infrastructure systems.

Arturo S. Leonمشاهده پروفایل

دانشیار

• Water Resources Engineering
• Reservoir Systems Optimization
• Multi-phase Flows
• +۵ مورد دیگر

Arturo S. Leon is an Associate Professor at the Department of Civil and Environmental Engineering, Florida International University (FIU). His work focuses on water resources engineering, reservoir optimization, multi-phase flows, and resilient flood control. He leads a research group developing innovative solutions for urban infrastructure challenges, including real-time control systems for reservoirs and stormwater management. Education: Ph.D., University of Illinois at Urbana-Champaign, 2007. Research Interests: Dr. Leon’s group pioneers computational models for hydraulic systems, such as the Illinois Transient Model. They investigate geysers in storm sewers via experimental and numerical methods, achieving landmark results with lab-replicated 30m geysers. Their work also includes IoT-enabled remote control of wetland storage systems for flood mitigation, as seen in the Automated and Remotely Controlled 6″ Siphon project. They integrate machine learning for flood forecasting and sewer overflow optimization, highlighted in frameworks like FIDLAR and EcoFLow. Awards: EPA Early CAREER Award Diplomate by the American Academy of Water Resources Engineers (D.WRE) Advancing Flood Resilience: His group’s dynamic storage management approach retrofits wetlands and detention ponds with IoT-controlled systems. They also study climate-driven urban hydrology, such as thermal comfort in tropical cities like Miami. Their patented technologies, including remote siphon control frameworks, enhance infrastructure adaptability during extreme weather events. Labs & Projects: Active in the Resilient MAST@FIU initiative and the EcoFlow project, focusing on green infrastructure for sustainable water use. Ongoing work includes AI-driven flood hazard mapping and exergo-economic optimization of energy systems.

Truong Nghiemمشاهده پروفایل

دانشیار

• Intelligent cyber-physical systems
• Digital twins
• Scientific and physics-informed machine learning
• +۵ مورد دیگر

Truong Nghiem is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Central Florida (UCF), part of the College of Engineering and Computer Science. He holds a Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania and previously served as an Assistant and Associate Professor at Northern Arizona University (2018–2024). His research focuses on intelligent cyber-physical systems, digital twins, physics-informed machine learning, and distributed optimization/control, with applications in smart buildings, autonomous vehicles, and robotics. He leads the intelligent Cyber-Physical Systems (iCPS) Lab, advancing foundational research in these areas. Notable awards include the NSF CAREER Award (2023) for composite physics-informed learning and the NSF ERI Award (2022) for building HVAC system research. He is a Senior Member of the IEEE and a member of the ACM. Recent work emphasizes safe machine learning for control systems, communication-efficient optimization algorithms, and physics-constrained motion prediction for autonomous systems. His publications span journals like IEEE Robotics and Automation Letters and conferences such as the American Control Conference. Grants and research initiatives include projects on HVAC system modeling, distributed trajectory planning for multi-vehicle systems, and adaptive sampling strategies for mobile sensor networks. Collaborations involve industry and academic partners in energy systems, robotics, and control engineering. The iCPS Lab’s work integrates theory, simulation, and real-world validation to address complex cyber-physical challenges.

Irina Paciمشاهده پروفایل

استاد

• Self-assembly on solid surfaces
• Monte Carlo methods
• Multi-scale computational methods
• +۳ مورد دیگر

Dr. Irina Paci is a Professor of Chemistry at the University of Victoria, specializing in theoretical and computational chemistry. Her research focuses on understanding molecular self-assembly processes, particularly at solid surfaces, and developing multi-scale computational methods to model materials' dynamic behavior under external fields. She holds a PhD from Queen's University and completed postdoctoral research at Queen's and Northwestern University. Her work integrates Monte Carlo simulations, density functional theory (DFT), and quantum chemistry to study surface adsorption mechanisms, catalytic reactions, and nanocomposite dielectric properties. Key areas include cysteine adsorption on gold surfaces, palladium-catalyzed cross-coupling reactions, and the impact of solvent effects on reaction pathways. Recent studies explore aluminum oxide degradation in perovskite solar cells and quantitative reactivity models for nucleophilic aromatic substitution. Teaching interests span physical chemistry, quantum mechanics, and computational methods. Dr. Paci leads the Paci Research Group, which includes graduate students like Archita Adluri and Natalie Stubb, focusing on advancing computational methodologies for energy materials and surface science. Her lab's work bridges fundamental theory with applications in nanotechnology and sustainable energy systems.

Delphine Périé-Curnierمشاهده پروفایل

استاد

• Biomedical Technology
• Biomechanics
• Solid Mechanics
• +۶ مورد دیگر

Delphine Périé-Curnier is a Full Professor in the Department of Mechanical Engineering at Polytechnique Montréal and Director of Graduate Studies. Her research focuses on developing quantitative MRI techniques for non-invasive characterization of living tissue mechanical properties, particularly in cardiotoxicity detection and musculoskeletal mechanobiology . She leads the Bioperformance Analysis and Innovation Laboratory (LIAB) and contributes to the Institute of Biomedical Engineering. Education: Ph.D. from Paul Sabatier University, Toulouse, France Her work bridges medical imaging , biomechanical modeling , and finite element analysis to predict disease progression through pathomechanism understanding. Key projects include exercise-induced cardiac changes in childhood cancer survivors and spinal biomechanics in scoliosis. Recent publications (2023-2024) emphasize cardiovascular MRI for childhood cancer survivorship and hemodynamic modeling in left ventricle analysis. She supervises 26 graduate students, with completed theses spanning topics like doxorubicin cardiotoxicity , knee replacement stability , and spatial cardiac MRI protocols . Teaching includes graduate courses in biomedical design , advanced biomechanics , and modeling techniques .

• Semiconductor Devices
• Millimeter-Wave Electronics
• Electronics Engineering
• +۳ مورد دیگر

Prof. Colombo R. Bolognesi is a Full Professor of Millimeter-Wave Electronics at ETH Zürich's Department of Information Technology and Electrical Engineering. He holds a PhD in Electrical Engineering from the University of California, Santa Barbara, and has held academic positions at Simon Fraser University (1995-2006) before joining ETH in 2006. His research focuses on III-V semiconductor devices, particularly InP/GaAsSb and InP/GaInAsSb double heterojunction bipolar transistors (DHBTs), with applications in millimeter-wave and terahertz electronics. His work emphasizes device physics, high-frequency performance, and optoelectronic integration, including uni-traveling carrier (UTC) photodiodes and compact modeling. He has authored over 175 publications and holds prestigious awards such as IEEE Fellow (2008) and the Frontiers in Research Award (2001). Education: Bachelor of Electrical Engineering, McGill University (1987) Master of Electrical Engineering, Carleton University (1989) PhD in Electrical Engineering, University of California, Santa Barbara (1994) Research Interests: Millimeter-wave transistors, semiconductor device physics, high-frequency electronics, terahertz applications, UTC photodiodes, and compact modeling. His recent work includes record-breaking power-added efficiency (PAE) in InP/GaAsSb DHBTs at 170 GHz, advanced UTC photodiodes for 300 Gbps communications, and terahertz characterization of DHBTs. He leads a research group at ETH Zurich focused on pushing the boundaries of III-V semiconductor device performance for next-generation RF and optoelectronic systems. Awards: IEEE Fellow (2008), IEEE Senior Member (2003), Frontiers in Research Award (2001), GaAs IC Symposium Best Paper Award (1999), IEE Electronics Letters Premium Award (1998). Advising & Grants: While specific student names are not listed, his research involves collaboration with PhD/Master's students and postdoctoral researchers. His work is supported by grants from the Swiss National Science Foundation and industry partnerships in semiconductor technology. Key projects include developing UTC photodiodes and DHBT-based power amplifiers for 5G/6G applications. Labs/Teams: His research is conducted within ETH Zurich's Millimeter-Wave Electronics group, leveraging state-of-the-art fabrication facilities and characterization tools for III-V semiconductor devices.

Michael C. Gurnisمشاهده پروفایل

استاد

• Computational Geodynamics
• Mantle Dynamics
• Plate Tectonics
• +۱۲ مورد دیگر

Michael C. Gurnis is the John E. and Hazel S. Smits Professor of Geophysics at the California Institute of Technology and has served as Director of the Seismological Laboratory (2009-2024) and Schmidt Academy for Software Engineering (2019-). With a B.S. from the University of Arizona (1982) and a Ph.D. from Australian National University (1987), he has held faculty positions at Caltech since 1994, becoming full Professor in 1996 and Smits Professor in 2005. His research spans computational geodynamics, mantle convection, and plate tectonics. California Institute of Technology Division of Geological and Planetary Sciences Seismological Laboratory Schmidt Academy for Software Engineering Research Interests: Gurnis focuses on computational geodynamics to link mantle convection to surface tectonics, using forward/inverse models to study plate motion dynamics , subduction zone mechanics , and deep mantle structures . His work bridges present-day geophysics with historical models through 4D Earth modeling , integrating seismic tomography, mineral physics, and paleogeography via the GPlates consortium. Recent projects include dynamic emergence of continents , plume interactions , and impact-driven subduction . Publications: Gurnis' research spans high-resolution global models of mantle flow, subduction zone rheology, and cratonic basin dynamics. Key trends include multi-physics coupling , Bayesian inversion techniques , and planetary-scale tectonic drivers . His 2024 papers address nonlinear mantle viscosity , shear zone weakening , and impact origins of tectonics . Scientific Awards: Gordon Bell Prize Finalist (2008, 2010) Springer CSE Prize (2011) for plate tectonics simulation work Advising: Mentors graduate students in computational geodynamics, including Jiaqi Fang, Erin Hightower, Yida Li, and Ojashvi Rautela. Collaborates with postdocs and international institutions like ETH-Zurich and National University of Mexico on mantle wedge dynamics and seismic geography. Labs & Teams: Leads the Seismological Laboratory and co-founded the Schmidt Academy for Software Engineering , driving innovations in geodynamic simulations and computational tools.

Benjamin Turnbullمشاهده پروفایل

دانشیار

• Cyber Security
• Simulation
• Digital Forensics
• +۶ مورد دیگر

Associate Professor Benjamin Turnbull is Deputy Head of School at UNSW Canberra's School of Systems & Computing. His research focuses on cybersecurity, simulation, and emerging technologies, aiming to develop decision support systems for cyber resilience. He leads large-scale research projects funded by organizations like CSIRO, Australian Defence Force, and the US Naval Research Laboratory, totaling over $3 million AUD in grants. Teaching contributions include co-creating the Bachelor of Cyber Security program and directing multiple postgraduate cybersecurity offerings. His educational design emphasizes industry-relevant courses, from undergraduate to executive programs like the UNSW Online Cyber Security Masters. He has extensive experience in curriculum design, content development, and online education. Research interests span cyber situation awareness, secure simulation platforms, and automated learning from big datasets. Notable projects include the UNSW-MG24 microgrid cybersecurity dataset and frameworks like OQFL (quantum-based federated learning) for intelligent transportation systems. His work bridges theory and practice, with outputs including software tools and policy recommendations for cyber resilience in critical infrastructure. Key collaborations include the Cyber Cooperative Research Centre and DST Group. He has authored over 100 peer-reviewed publications, focusing on IoT security, blockchain-enabled learning, and cyber-physical-social systems resilience. His grants emphasize applied research with direct societal impact, such as mitigating supply chain cyber risks and enhancing microgrid cybersecurity.

Mingyan Liمشاهده پروفایل

پژوهشگر ارشد

• Imaging
• Sensing
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Mingyan Li is an Adjunct Research Fellow at The University of Queensland's School of Electrical Engineering and Computer Science. Their research focuses on advanced imaging and sensing technologies with applications in biomedical engineering, particularly in MRI system development, RF coil design, and medical signal processing. They hold a PhD from The University of Queensland (2015). Research interests include high-field MRI systems, rotating RF coil technologies, MRI-Linac integration, and electrical properties tomography (EPT). Key contributions include innovations in MRI-Linac distortion correction, RF shielding for SAR reduction, and deep learning approaches for cardiac arrhythmia classification. Publications span MRI hardware optimization, image reconstruction algorithms, and biomedical signal analysis. Collaborations include work on metamaterial-inspired RF shielding and multi-modal antenna systems for body MRI.