جست‌وجوی استاد و پژوهشگر

Anna Iskhakovaمشاهده پروفایل

عضو هیئت علمی

• Computational Thermal Hydraulics
• Machine Learning for Model Enhancement
• Two-Phase Flow Dynamics
• +۲ مورد دیگر

Anna Iskhakova is a Research Assistant Professor in the Alan Levin Department of Mechanical and Nuclear Engineering at Kansas State University. She holds a Ph.D. (2023) from North Carolina State University, with a focus on Nuclear Engineering and a Mechanical Engineering minor. She also earned a Master's (2017) and Bachelor's (2015) in Thermal Power and Heat Engineering from Moscow Power Engineering Institute, Russia, where she later taught nuclear power courses. Her research emphasizes computational thermal hydraulics and machine learning-driven modeling to improve two-phase flow simulations. Education: Ph.D., Nuclear Engineering, North Carolina State University (2023) M.Eng., Thermal Power and Heat Engineering, Moscow Power Engineering Institute (2017) B.Eng., Thermal Power and Heat Engineering, Moscow Power Engineering Institute (2015) Research interests include developing high-fidelity models for bubble dynamics and heat exchanger simulations using machine learning techniques such as super-resolution and Fourier neural operators (FNO). She has authored over 30 peer-reviewed publications and holds key awards for her work. Iskhakova previously worked in industry designing HVAC systems for data centers and served as a visiting student in Germany, gaining experience in energy consumption calculations for heat pumps. She is an active member of the American Nuclear Society, American Physical Society, and Women in Nuclear, and chaired technical sessions at ANS NURETH-20.

• Medical Imaging
• Machine Learning
• Data Mining
• +۶ مورد دیگر

Mingwu Jin is a Professor in the Department of Physics at the University of Texas at Arlington (UTA), where he has held faculty positions since 2011, progressing from Research Assistant Professor to his current rank. He holds a B.S. in Space Physics (1997) and M.E. in Communication and Information System (2001) from Peking University, and a Ph.D. in Electrical Engineering (2007) from Illinois Institute of Technology. His postdoctoral training (2007-2009) was at the University of Colorado Denver. His research focuses on image science, machine learning applications in medical and space physics, and mathematical modeling of physical systems. Key areas include medical imaging (SPECT/MRI/CT), spatiotemporal data reconstruction, and deep learning for low-dose imaging. He leads federally funded projects totaling over $10M, including NIH grants for PET/CBCT advancements and NSF awards for ionospheric modeling. Dr. Jin has authored 5 books/chapters and over 100 peer-reviewed publications. Awards include the NIH Best Student Paper (2006), ISSI Science Team membership (2020), and TACC Computational Fellowship (2022). He advises 30+ graduate students and postdocs, teaching courses in computational physics and medical imaging. Professional roles include service on NIH review panels and editorial boards for Medical Physics and PLOS ONE .

Theodore M. Besmannمشاهده پروفایل

استاد

• Nuclear Fuel Development
• Nuclear Waste Forms
• Thermochemical Modeling
• +۲ مورد دیگر

Theodore M. Besmann is a Professor and Smart State Chair in Energy and Nuclear Security at the University of South Carolina's Molinaroli College of Engineering and Computing, affiliated with the Department of Mechanical Engineering. His research focuses on thermochemical modeling for nuclear fuel development, in-reactor behavior, and advanced waste forms. Education: Ph.D., Nuclear Engineering, Pennsylvania State University (1976) M.S., Nuclear Engineering, Iowa State University (1971) B.E., Chemical Engineering, New York University (1970) Research Interests: Dr. Besmann specializes in thermochemical experimentation and computational modeling of nuclear materials. Key areas include: Nuclear fuel performance under reactor conditions Development of durable actinide waste forms Thermal property measurements for fuel performance codes Molten salt chemistry for reactor systems Phase equilibria in advanced fuel compositions Scientific Awards: Smart State Chair in Energy and Nuclear Security

Serhat Yesilyurtمشاهده پروفایل

استاد

• Micro-swimming robots
• Proton Exchange Membrane fuel cells (PEMFC)
• Vertical Axis Wind Turbines (VAWT)
• +۳ مورد دیگر

Prof. Serhat Yesilyurt is a Professor of Mechatronics Engineering at Sabanci University in Istanbul, Turkey. He holds a PhD from MIT (1995) and has held visiting professorships at the University of Michigan. His research focuses on bio-inspired micro-swimming robots, PEM fuel cells, vertical axis wind turbines, and computational fluid dynamics. He leads projects on energy optimization, micro/nano swimmer dynamics, and PEMFC durability funded by TUBITAK and international collaborations. Education: BS in Nuclear Energy Engineering (Hacettepe University, 1986), MS/PhD in Nuclear Engineering (MIT, 1991/1995) Research: Specializes in microscale propulsion, renewable energy systems, and advanced fuel cell modeling. Collaborates internationally on medical micro-robotics and sustainable energy solutions. His recent work explores catalyst layer optimization for low-platinum fuel cells, acoustic manipulation of microswimmers, and VAWT control algorithms. Over 100 peer-reviewed publications and 3 patents demonstrate his interdisciplinary impact spanning robotics, energy systems, and fluid mechanics.

Sophya Garashchukمشاهده پروفایل

استاد

• Theoretical Chemistry
• Computational Chemistry
• Quantum Dynamics
• +۳ مورد دیگر

Sophya Garashchuk is a Professor in the Department of Chemistry and Biochemistry at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences. Her research focuses on theoretical and computational chemistry, with an emphasis on quantum dynamics, nuclear quantum effects, and their applications to materials and biomolecular systems. She holds a M.S. from the Moscow Institute of Physics and Technology and a Ph.D. from the University of Notre Dame. Research Interests: Garashchuk's work explores quantum effects in molecular dynamics, including zero-point energy, tunneling, and proton transfer processes. Her group develops approximate quantum trajectory methods scalable to large systems, with applications in energy materials, enzyme catalysis, and nanomaterials. Key projects include studying nuclear quantum effects in polymers, graphene interactions, and inorganic frameworks like MOFs. Selected Achievements: Fellowship at Max Planck Institute for Physics of Complex Systems (2023) USC Rising Star Award (2012) NSF Career Award (2011) IBM-Lowdin Fellowship (2004) Advising & Collaborations: Garashchuk mentors graduate students and postdoctoral researchers, with recent advisees including James Mazzuca and Bing Gu. Her collaborations span institutions like Oak Ridge National Laboratory and the University of Chicago. She contributes to software development (e.g., Libra for quantum dynamics) and teaches courses in quantum chemistry and computational methods. Labs/Teams: Her research group develops novel theoretical tools and applies them to problems in energy, catalysis, and materials science. The group's work often bridges computational chemistry with experimental validation, yielding insights into quantum phenomena at the molecular scale.

Bond Callowayمشاهده پروفایل

پژوهشگر ارشد

• Radioactive Waste Management
• Thermodynamic Modeling
• Slurry Rheology
• +۳ مورد دیگر

T. Bond Calloway is a Senior Fellow at the University of South Carolina's Molinaroli College of Engineering and Computing , affiliated with the Office of the Dean . His research focuses on radioactive waste management, thermodynamic modeling, and industrial process optimization. His work spans environmental remediation technologies, slurry rheology, and neural network applications in nuclear waste treatment systems. Current methodologies in waste evaporation, melter off-gas analysis, and glass melt diagnostics are central to his publications. Over 15+ years, his articles highlight advancements in radioactive waste evaporation , off-gas characterization , and viscosity control for nuclear waste slurries. Key collaborations involve Hanford, Savannah River, and Duratek pilot projects.

Ou Baiمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Smart Health Technologies
• Robotics
• +۶ مورد دیگر

Dr. Ou Bai is a Professor and Director of the Human Cyber-Physical Systems (HCPS) Laboratory at Florida International University's College of Engineering. He holds a Ph.D. in Electrical & Systems Control Engineering from Saga University (Japan) and a B.S. in Electronic Engineering from Tsinghua University (China). His research focuses on advancing Cyber-Physical Systems (CPS), Smart Health Technologies, and Robotic Prosthetics/Exoskeletons to enhance human capabilities through sensor integration, embedded systems, and AI-driven control. Dr. Bai has authored over 100 peer-reviewed publications and leads projects in wearable devices, neural interfaces, and industrial exoskeletons. He teaches graduate courses such as Advanced Embedded Systems Design for IoT and Autonomous Systems and Control . The HCPS Lab develops technologies like brain-computer interfaces (BCIs), neuroprosthetics, and assistive robotics to improve human-physical world interactions. His work addresses challenges in smart healthcare, industrial safety, and human-robot collaboration. Key projects include exoskeleton systems for nuclear facility workers, gait intention prediction via EEG signals, and child-parent interaction analysis using wearable sensors. Dr. Bai has secured 11 sponsored projects and graduated 6 Ph.D. students. His lab emphasizes interdisciplinary innovation at the intersection of engineering, medicine, and AI.

Md Tauhidur Rahmanمشاهده پروفایل

استادیار

• Hardware Security
• Embedded Security
• Side-channel Analysis
• +۴ مورد دیگر

Dr. Md Tauhidur Rahman is an Assistant Professor in the Department of Electrical and Computer Engineering at Florida International University (FIU), part of the College of Engineering and Computing. He earned a Ph.D. in Computer Engineering from the University of Florida (2017), an M.Sc. from the University of Connecticut (2015), and a B.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (2009). His research focuses on hardware security, embedded security, side-channel analysis, memory systems, and reliability, with funding from NSF, NSA, and CyberFlorida. Research Interests: Hardware Security and Trust Embedded Security Side-channel Analysis Memory System Reliability Machine Learning Applications in Security Grants and Awards: $750K NSA Grant (2022) for UAS Security $1.4M CyberFlorida Grant (2022) for Hardware-Security Training NSF SaTC Grant (2021) NSF CRII Grant (2019) UAH New Faculty Research Award (2019) Labs and Leadership: Director of the SeRLoP Lab (Security, Reliability, Low-power, and Privacy), leading collaborative projects on hardware security and critical infrastructure protection.

Catherine Royerمشاهده پروفایل

استاد

• Biochemistry
• Biophysics
• Cell Biology
• +۳ مورد دیگر

Dr. Catherine Royer is a Professor and Constellation Endowed Chair in Biological Sciences at Rensselaer Polytechnic Institute (RPI). Her research focuses on understanding protein folding mechanisms, cellular responses to environmental pressures, and the molecular basis of cell cycle regulation in budding yeast. She holds a B.S. in Biochemistry and Chemistry from Université Pierre et Marie Curie (1979) and a Ph.D. in Biochemistry from the University of Illinois at Urbana-Champaign (1985). Dr. Royer’s work integrates biophysical techniques like high-pressure NMR and fluorescence microscopy to study protein dynamics, stress responses, and transcriptional networks. Her lab investigates how cells adapt to extreme conditions, particularly through pressure-induced changes in protein structure and function. She has held academic positions at the University of Wisconsin-Madison and INSERM in France before joining RPI in 2013. Her recent publications emphasize AI-driven cellular imaging, allosteric regulation in GTPases, and the interplay between cell size and transcriptional timing during the cell cycle. She leads interdisciplinary projects on extremophile biology and protein engineering for biomedical applications. Dr. Royer’s research is supported by grants exploring pressure adaptation, transcriptional networks, and super-resolution imaging. Her lab collaborates widely, advancing quantitative biology and biophysics at the cellular and molecular scales.

• Renewable Energy Systems
• Nanomaterials
• MEMS Technology
• +۵ مورد دیگر

Diana Borca Tasciuc is a Professor in the Department of Mechanical, Aerospace and Nuclear Engineering at Rensselaer Polytechnic Institute (RPI). She holds a B.S. in Physics from Bucharest University (1996), and M.S. and Ph.D. in Mechanical Engineering from UCLA (2001, 2005). She joined RPI as an Assistant Professor in 2006 and transitioned to her current position. Her research spans renewable energy systems, nanomaterials, MEMS technology, and biomedical engineering. Education: B.S. Physics, University of Bucharest (1996) M.S. Mechanical Engineering, UCLA (2001) Ph.D. Mechanical Engineering, UCLA (2005) Her work focuses on thermal energy harvesting, luminescent solar concentrators, and nanoscale thermal transport. Recent research includes phase change material-based ocean thermal energy systems and vibration-based energy harvesting for wireless sensors. She has pioneered advancements in asymmetric light transmission interfaces and nanostructured surfaces for energy efficiency. Her publications highlight interdisciplinary efforts in solar technology, microsystems, and biomedical applications. She has contributed to standardizing annual energy production metrics for building-integrated photovoltaics and developed open-source simulation tools for luminescent solar concentrators.

Wael Ahmedمشاهده پروفایل

استاد

• Multiphase Flow Analysis
• Thermo-fluids
• Energy Systems
• +۷ مورد دیگر

Prof. Wael Ahmed is a full Professor in the School of Engineering at the University of Guelph, within the College of Engineering and Physical Sciences. He specializes in multiphase flow analysis, thermo-fluids, and sustainable engineering, with a focus on applications in energy, aquaculture, and industrial systems. His research integrates experimental and computational methods, leading to patented technologies such as airlift pumps for aquaculture and multiphase flow sensors. Prof. Ahmed holds a PhD in Mechanical Engineering from McMaster University (2005) and has industry experience with Atomic Energy of Canada Ltd. and AMEC-Nuclear Safety Solutions. He joined the University of Guelph in 2014 and has secured over $2.5M in research funding, including grants from NSERC and the Ontario Ministry of Agriculture. His research focuses on Multiphase flow in energy and food systems Airlift pump design for sustainable aquaculture Flow-induced vibration and corrosion mitigation CFD and VR-based educational tools Key innovations include patented sensors for two-phase flow measurements and bioreactor systems for nutrient removal. He has been recognized as a finalist for Fast Company’s World Changing Ideas (2017-2018) and holds eight patents. Current projects include optimizing airlift pumps for biogas production and investigating two-phase flow in complex geometries. Prof. Ahmed leads the Gryph Energy Lab and actively collaborates with industry partners. He is available to mentor graduate students in multiphase flow analysis and seeks partnerships in energy and aquaculture systems.

• Electronics
• Integrated Circuit Design
• Analog Circuits
• +۵ مورد دیگر

Marcello De Matteis serves as Associate Professor in the Department of Physics at the University of Milano-Bicocca, Italy, specializing in Application-Specific Integrated Circuit (ASIC) design for medical physics, high-energy experiments, and sensor systems. With over 35 ASICs developed since 2005—including principal design of 20+ chips across 0.5μm CMOS to 16nm FinFET technologies—he bridges electronics engineering with clinical applications in proton therapy and neuroscience. His educational background features a double degree from the Top Industrial Managers for Europe (TIME) program: Industrial Engineering, Polytechnic University of Madrid (2003) Electronic Engineering, Polytechnic University of Milan (2004) Research focuses on radiation-hardened analog circuits for particle detectors (ATLAS Muon Drift Tubes), proton therapy instrumentation (Proton Sound Detector project), and neuromorphic biosensors using neuron-electronic junctions. His work emphasizes low-power, high-precision front-ends for ionoacoustic imaging, with recent publications targeting FLASH radiotherapy monitoring and quantum computing interfaces. Analysis of his 15 most recent publications reveals dominant trends in medical physics instrumentation (70% of works), particularly ionoacoustic dosimetry for proton beam therapy, alongside growing contributions to neuromorphic engineering (20%) and radiation-hardened design (10%). All leverage advanced CMOS/FinFET nodes (28nm–12nm) to address noise, power, and radiation tolerance challenges in clinical and space applications. Key career recognition includes: Italian National Scientific Qualification for Full Professor (Electronics, 2020) Technical Program Committee roles for IEEE ESSCIRC, PRIME, and ICICDT conferences Associate Editor for Journal of Circuits, Systems and Computers (World Scientific) As Principal Investigator for INFN-funded projects since 2018, he coordinates multi-institutional teams across Italy and Germany on proton therapy instrumentation. His grant portfolio includes: Proton Sound Detector (INFN): 4-unit collaboration (Milano-Bicocca, CNAO, LMU Munich, INFN Catania) for real-time Bragg peak localization ScalTech28/FinFet16 (INFN): Rad-hard ASIC design in 28nm/16nm for high-luminosity LHC upgrades SAFIR GEM (2022): Submarine acoustic monitoring infrastructure funded by University of Milano-Bicocca Current leadership spans two research streams: CMOS 28nm biosensors for neuron-electronic interfaces and proton sound detectors for hadron therapy. Previously, he directed MEMS sensor development at University of Salento (2008–2012) and served as technical lead for ATLAS Muon Drift Tube ASICs. His industry collaborations include Infineon, IMEC, and STMicroelectronics, with recent work integrating PVDF ultrasound arrays for melanoma diagnosis and FinFET neurons for neuromorphic computing.

Jacques Bou Abdoمشاهده پروفایل

استادیار

• Cybersecurity
• Complex Systems
• Network Economics
• +۵ مورد دیگر

Jacques Bou Abdo is an Assistant Professor at the University of Cincinnati's School of Information Technology, specializing in interdisciplinary research spanning cybersecurity, complex systems, and network economics. His work focuses on cyber deterrence, information warfare dynamics, and resilient network architectures. He holds a dual PhD in Management Sciences (Paris-Saclay University, 2021) and Computer Science (Sorbonne University, 2014), alongside advanced engineering degrees from Lebanese and French universities. Education includes a PhD in Management Sciences (2021, Paris-Saclay), PhD in Computer Science (2014, Sorbonne), and engineering degrees from Saint Joseph University and Lebanese University. Professional experience includes roles at Notre Dame University (NTT Assistant Professor), University of Nebraska, and visiting positions at institutions like Northern Arizona University and ITMO University. Research interests emphasize cybersecurity frameworks, blockchain applications, and computational models for strategic defense. Key themes include anomaly detection in data streams, IoT security, and ethical AI integration. Recent publications explore federated learning for IoT, AI governance, and modular robotics communication. Notable awards include the Fulbright Visiting Scholar Fellowship (2018). Grant roles include Co-PI for a National Strategic Research Institute project on nuclear deterrence theory (2022–2023). His work bridges theoretical models with practical applications in cyber resilience and strategic systems.

Kirsten Krauseمشاهده پروفایل

استاد

• Plant Molecular Biology
• Parasitic Plant Interactions
• Genomics
• +۳ مورد دیگر

Kirsten Krause is a Professor in Plant Molecular Biology at the Department of Arctic and Marine Biology, UiT The Arctic University of Norway . Her research focuses on molecular mechanisms of plant adaptation, particularly in parasitic plants like Cuscuta , and their interactions with host organisms. She leads the national graduate school PhotosynTech and contributes to sustainable energy research through the Arctic Centre for Sustainable Energy (ARC) . Education: Diploma in Biology (1994, University of Hamburg); PhD (2000, Universities of Cologne/Kiel); Postdoc (2000-2002, University of Arizona) Her work explores: Molecular networks in Arabidopsis thaliana and Cuscuta species Cell wall degrading enzymes and their biotechnological applications Plastid-nuclear communication in plant cells Recent publications analyze host-parasite gene expression dynamics, enzyme specificity in parasitism, and hyperspectral imaging of root systems. She has received a ToppForsk Grant (2016-2021) and leads major national research initiatives. Her teaching includes courses on green biotechnology and microscopic imaging.

Devina Sanjayaمشاهده پروفایل

استادیار

• Computational Fluid Dynamics
• High-Order Mesh Adaptation
• Error Estimation
• +۶ مورد دیگر

Devina Sanjaya serves as an Assistant Professor in the Department of Mechanical, Aerospace and Biomedical Engineering at the University of Tennessee, Knoxville. She leads the Scientific Computing and Fluid Dynamics Lab (SCFDL) and has been with the institution since July 2019, initially as a Research Assistant Professor before transitioning to a tenure-track Assistant Professor position in August 2019. Her educational background includes a Ph.D. in Aerospace Engineering and Scientific Computing from the University of Michigan (2019), an M.S. in Aeronautics and Astronautics from Stanford University (2014), and a B.S. in Aerospace Engineering with minor in Mathematics from the University of Michigan (2011). Dr. Sanjaya's research focuses on developing advanced computational methods for fluid dynamics simulations. Her work centers on high-order computational fluid dynamics methods, mesh adaptation and optimization, error estimation, verification and validation techniques, and applying scientific machine learning to enhance computational fluid dynamics. She has made significant contributions to the field of scalable, high-order CFD methods, particularly in the area of curved mesh generation and optimization. Her recent publications demonstrate a strong focus on solution verification, uncertainty quantification, and the development of open-source tools for CFD verification. Her research spans both fundamental computational methods and practical applications in aerospace engineering and nuclear reactor design, showing an increasing integration of machine learning techniques with traditional numerical methods. MGB-SIAM Early Career Fellowship (2023-2025) UTK Office of the Provost Research Development Academy Scholar (2022) François-Xavier Bagnoud Fellowship (2016-2019) Zonta International Amelia Earhart Fellowship (2016-2017) Michigan Institute for Computational Discovery and Engineering Fellowship (2015-2016) Dr. Sanjaya actively mentors several graduate students including Ph.D. candidates Aidan Lay, Justin Weinmeister, Trenton Henderson, and Nicole Nutter, along with M.S. student Luc Lipcius. She has secured funding from multiple sources including the Air Force Office of Scientific Research (AFOSR) Computational Math Program, National Science Foundation (NSF REU), and Office of Naval Research. Her professional service includes leadership roles in the AIAA Meshing, Visualization, and Computational Environments (MVCE) Technical Committee, where she currently serves as Meshing Sub-Committee Chair and will chair the MVCE Student Paper Competition for the 2026 AIAA SciTech Forum. She directs the Scientific Computing and Fluid Dynamics Lab (SCFDL), which hosts undergraduate researchers, REU students, and collaborates with national laboratories including Oak Ridge National Laboratory. The lab focuses on developing computational methods for fluid dynamics with applications ranging from aerospace engineering to nuclear reactor design, and has established partnerships with organizations like Flexcompute for sponsorship and research collaboration.