جستجوی استاد راهنمای دانشگاهی

Arshak Petrosyanمشاهده پروفایل

استاد

• Partial Differential Equations
• Free Boundary Problems
• Calculus of Variations
• +۳ مورد دیگر

Dr. Arshak Petrosyan is a Professor of Mathematics and Associate Department Head at Purdue University. He holds a PhD from the Royal Institute of Technology (KTH), Sweden, under the supervision of Henrik Shahgholian. His research focuses on free boundary problems, partial differential equations (PDEs), and their applications in combustion and finance. Key areas include regularity theory for elliptic and parabolic PDEs, obstacle problems, and fractional Laplacian operators. Petrosyan has held positions at Purdue since 2003, progressing from Assistant to Professor, and mentored several PhD students and postdoctoral researchers. His educational background includes a Diploma from Yerevan State University (1997) and postdoctoral work at the University of Texas at Austin under Luis Caffarelli. Petrosyan’s work spans theoretical advancements in PDE analysis, with contributions to geometric and energetic criteria for free boundary regularity. He has co-authored influential papers on topics like the Signorini problem, fractional obstacle problems, and combustion models. Advising and collaborations include co-advising PhD students like Mariana Smit Vega Garcia and Wenhui Shi, as well as postdoctoral researcher Tung To. His research trends emphasize free boundary regularity, fractional calculus, and applications in applied mathematics. Despite no explicit mention of scientific awards, his extensive publication record reflects significant scholarly contributions.

• Earth remote sensing
• Global Navigation Satellite Systems (GNSS)
• Bistatic radar
• +۷ مورد دیگر

James L. Garrison is a Professor in the Department of Aeronautics and Astronautics at Purdue University, with a courtesy appointment in Electrical and Computer Engineering. He is a University Faculty Scholar (2022-2027) and leads the Radio Navigation Lab. His research focuses on Earth remote sensing using GNSS and Signals of Opportunity (SoOp), including oceanography, soil moisture, snow/ice properties, and ionospheric studies. He contributed to NASA's CYGNSS mission, which uses GNSS reflections to monitor tropical storms. Education: PhD (University of Colorado Boulder, 1997), MS (Stanford University, 1990), BS (Rensselaer Polytechnic Institute, 1988). Research Interests: Development of novel instruments and algorithms for remote sensing, including bistatic radar, GNSS reflectometry, and ionospheric probing. Applications span agriculture, hydrology, and disaster monitoring. His work bridges space-based systems with terrestrial environmental science. Awards: National Academies Keck Futures Initiative (2012) Institute of Navigation Early Achievement Award (2002) NASA Exceptional Space Act Award (2000) Advising & Grants: Led the NASA Instrument Incubator Program (IIP) grant for airborne soil moisture sensing. Collaborates with JPL on snow/ice sensing and Scripps Institution on hurricane humidity profiling. Labs/Teams: Director of the Radio Navigation Lab, member of the Purdue Climate Change Research Center (PCCRC) executive committee, and faculty affiliate of the Ecological Sciences and Engineering (ESE) program.

Prineha Narangمشاهده پروفایل

استادیار

• Quantum Engineering
• Computational Materials Science
• Condensed Matter Physics
• +۳ مورد دیگر

Prineha Narang is an Assistant Professor of Physics and Astronomy at the University of California, Los Angeles (UCLA), leading the NarangLab . Her research focuses on computational science, condensed matter theory, quantum photonics, and quantum information science. She holds a Sc.B. from Drexel University and advanced degrees from Caltech, where she was an NSF Graduate Fellow. Her work bridges theoretical and experimental realms, emphasizing nonequilibrium quantum materials and their applications in energy and computing. Education: Sc.B. in Materials Science (Drexel), M.S./Ph.D. in Applied Physics (Caltech). Labs/Teams: NarangLab explores quantum materials, photonic qubits, and quantum network science. Key Awards: Ziff Environmental Fellow, NSF Graduate Fellowship, Resnick Sustainability Institute Fellow. Her teaching includes courses like Quantum Engineering and Excited State Dynamics , with open-access materials to lower educational barriers. Research highlights include ab initio QED methods, magnon-pumping dynamics, and defect-engineered quantum systems. She actively mentors over 20 graduate students and postdocs, fostering interdisciplinary collaboration.

Jean Anne Incorviaمشاهده پروفایل

دانشیار

• Nanotechnology
• Neuromorphic Computing
• Spintronics
• +۷ مورد دیگر

Jean Anne Incorvia is an Associate Professor in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, leading the Integrated Nano Computing (INC) Lab. She holds the Engineering Foundation Endowed Faculty Fellowship and has expertise in nanodevices leveraging spintronics, nanomagnetism, and bio-inspired computing. Her research spans neuromorphic systems, 2D materials, and computing in extreme environments. Education: Bachelor’s in Physics, UC Berkeley (2008) Ph.D. in Physics, Harvard University (2015) [cross-registered at MIT] Research Focus: Incorvia’s work integrates emerging materials and physics to advance low-power computing. Key areas include spintronic devices, magnetic tunnel junctions, and neuromorphic circuits for AI applications. She explores applications in health, energy, and security, with a focus on radiation-hardened systems. Grants & Collaborations: 9 NSF grants, 4 DOE grants, and partnerships with Sandia National Labs, Samsung, TSMC, and Lockheed Martin. Leadership roles in conferences like IEDM, DRC, and Intermag. Awards: NSF CAREER Award (2020) IEEE Magnetics Society Early Career Award (2020) Intel Rising Stars Award (2021) APL Rising Star Award (2023) Labs & Teams: Directs the INC Lab and participates in the Microelectronics Research Center. Her lab focuses on device codesign, AI-driven material discovery, and neuromorphic systems.

• Traditional Medicine
• Acupuncture Research
• Integrative Medicine
• +۳ مورد دیگر

Christopher Zaslawski is an Adjunct Associate Professor and Visiting Fellow at the University of Technology Sydney (UTS), School of Life Sciences. With over 40 years of clinical practice in acupuncture and herbal medicine, his work spans research, education, and policy. He has authored over 95 peer-reviewed papers and contributed to WHO documents on acupuncture clinical research and traditional medicine education. Currently, he serves on Standards Australia's HE 031 committee for Chinese medicine standards and the Chinese Medicine Board of Australia's accreditation committee. His editorial roles include the Journal of Acupuncture and Tuina Science and Acupuncture Research . Research interests focus on acupuncture mechanisms, clinical trial methodology, and standardization of traditional medicine practices. Zaslawski pioneered studies on blinding techniques in herbal trials and pattern differentiation in clinical research. He has led international collaborative studies on acupuncture efficacy for musculoskeletal conditions and integrative medicine approaches for chronic diseases. His contributions include advancing evidence-based practices while addressing cultural and regulatory challenges in traditional medicine. Teaching expertise includes traditional Chinese diagnostic systems and acupuncture point anatomy. He actively promotes interprofessional education through innovative methods like 'mystery shopper' empathy training for students. Zaslawski's service roles reflect his commitment to professional standards, contributing to global health initiatives and policy development in traditional medicine sectors.

John Everett Dolbowمشاهده پروفایل

استاد

• Fracture Mechanics
• Computational Methods
• Solid Mechanics
• +۴ مورد دیگر

John Everett Dolbow is a Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University's Pratt School of Engineering, and a Professor of Mathematics at Trinity College of Arts & Sciences. He holds a PhD and MS from Northwestern University and a BS from the University of New Hampshire. His research focuses on computational methods for fracture mechanics, with emphasis on phase-field modeling, dynamic fracture, and multiphase systems. He has led over 50 grants from institutions like Sandia National Laboratories and the National Science Foundation, addressing topics such as hydraulic fracturing, laser lithotripsy, and fuel performance modeling. Current roles include Assistant Vice President for Research & Innovation (2020–present) and Bass Fellow (2014–present). Research groups include the Dolbow Research Group, exploring fracture nucleation, surfactant-driven fracture, and fluid-structure interaction. Notable contributions include phase-field frameworks for ductile fracture and thermal softening, and models for nano-pulse lithotripsy. His work bridges computational mechanics with applications in energy, biomedical engineering, and geomechanics.

Hongkai Zhaoمشاهده پروفایل

استاد

• Computational and Applied Mathematics
• Numerical Analysis
• Scientific Computing
• +۴ مورد دیگر

Hongkai Zhao is the Ruth F. DeVarney Distinguished Professor of Mathematics and Chair of the Department of Mathematics at Duke University's Trinity College of Arts & Sciences. He holds a Ph.D. in Mathematics from UCLA (1996) and has held prior positions including Chancellor's Professor at UC Irvine and Gábor Szegő Assistant Professor at Stanford University. His research focuses on computational and applied mathematics with applications in inverse problems, imaging, PDEs, and scientific computing. Key research areas include numerical methods for wave propagation, radiative transfer, and shape analysis. Zhao has led NSF-funded projects on PDE learning, radiative transfer, and analysis training. He has received prestigious awards including the Feng Kang Prize (2007) and SIAM Fellowship (2022). Teaching includes advanced courses on stochastic processes, numerical linear algebra, and mathematical analysis. His work bridges theory and practice, contributing to medical imaging algorithms, computational physics, and geometric modeling.

Jorge Reyمشاهده پروفایل

استاد

• Wetlands Ecology
• Mosquito Biology
• Biological Control
• +۳ مورد دیگر

Jorge Rey is a Professor and Director at the Florida Medical Entomology Laboratory (FMEL), part of the University of Florida. His research focuses on wetlands ecology, mosquito biology, and biological control strategies. He holds a Ph.D. in Biological Sciences from Florida State University (1979), along with an M.S. (1977) and B.S. (1973) from Florida State and the University of Miami, respectively. Rey's work addresses the ecological impacts of human activities on coastal wetlands, particularly mosquito control strategies. His research combines field studies, lab experiments, and GIS analysis to evaluate environmental consequences of impounding marshes and explore biological alternatives to pesticides. Key projects include testing copepod species (e.g., Macrocyclops albidus ) as natural mosquito predators and investigating habitat preferences of disease vectors like Aedes aegypti and Aedes albopictus . He teaches courses on mosquito biology and ecological principles, emphasizing integrated pest management. Current research includes container mosquito ecology, non-target effects of pesticides like Dibrom, and biological control efficacy in urban and rural settings. Rey’s contributions bridge environmental science and public health, promoting sustainable solutions for pest management challenges.

Wenrui Haoمشاهده پروفایل

دانشیار

• Mathematical Biology
• Partial Differential Equations
• Numerical Analysis
• +۴ مورد دیگر

Wenrui Hao is an Associate Professor in the Department of Mathematics at The Pennsylvania State University, part of the Eberly College of Science. His research focuses on interdisciplinary applications of mathematics in biology, medicine, and engineering, with particular emphasis on mathematical modeling of complex systems and numerical methods for partial differential equations. Dr. Hao’s work integrates computational methods with real-world biological and medical challenges, including Alzheimer’s disease modeling, cancer progression simulation, and cardiovascular dynamics. He develops innovative numerical algorithms such as homotopy methods, neural operators, and finite element techniques to solve nonlinear systems and free boundary problems. His recent publications highlight contributions to optimal control strategies for neurodegenerative diseases, causal network discovery in Alzheimer’s biomarkers, and computational frameworks for practical identifiability analysis in biological models. His research bridges theoretical mathematics with applied sciences, addressing critical questions in health and engineering through rigorous computational approaches. Dr. Hao’s lab focuses on advancing mathematical tools for understanding complex biological phenomena, with applications in personalized medicine and predictive modeling of disease progression. His collaborative efforts span multiple disciplines, reflecting his commitment to translating mathematical insights into impactful scientific solutions.

• Thermodynamics
• Heat Transfer
• Thermal Management Technologies
• +۳ مورد دیگر

Dr. Xuehui Wang is an Assistant Professor of Mechanical Engineering (Thermodynamics) at University College Dublin (UCD), School of Mechanical and Materials Engineering. He holds a PhD from Zhejiang University (2017) and has prior research experience at the University of Nottingham and Imperial College London. His research focuses on thermodynamics, heat transfer, thermal management, and renewable energy systems. He has contributed to projects funded by NSFC, Innovate UK, and EPSRC. Education: PhD in Mechanical Engineering from Zhejiang University (2017). Editorial Roles: Editor for journals like Applied Sciences , Energies , Machines , and Frontiers in Thermal Engineering . Teaching: Coordinates modules on Automotive Engines, Thermodynamics I, and Thermodynamics II. Professional Activities: Session chair at UKHTC 2019 and MIT Applied Energy Symposium. Research Interests: Solar cooling systems, thermoelectric generators, organic Rankine cycles, heat exchanger design, and thermal management for electric vehicles. His work emphasizes energy efficiency, low-GWP refrigerants, and waste heat recovery. Grants & Projects: Involved in NSFC, Innovate UK, and EPSRC-funded initiatives on thermal systems and renewable energy applications.

• Geophysics
• Seismology
• Volcano Monitoring
• +۵ مورد دیگر

Dr. Ivan Lokmer is an Associate Professor in Petroleum Geoscience at the School of Earth Sciences, University College Dublin. His research focuses on geophysical inversion techniques, volcano seismology, and seismic wave propagation in complex media. He holds a PhD from UCD and has expertise in numerical modeling, machine learning applications, and subduction zone dynamics. Key research areas include stress field analysis along the Hikurangi Margin, diffraction imaging using deep learning, and long-period volcanic seismic event mechanisms. He has coordinated modules such as 'Applied Geophysics' and 'Geocomputation' at UCD since 2019. Education: BSc in Physics (University of Zagreb, 1997), MSc in Geophysics (University of Zagreb, 2002), PhD in Volcano Seismology (UCD, 2008). Research highlights include studies on seismic source inversion, borehole stress orientation variability, and volcanic tremor analysis. His work integrates field observations with computational methods to advance understanding of tectonic and volcanic processes. Notable contributions include the FAME project using fiber-optic sensing for volcano monitoring and publications on subduction zone stress patterns. Teaching responsibilities include courses on geophysical methods and geocomputational tools. Ongoing projects focus on machine learning in seismic imaging and geohazard analysis.

• Solar Physics
• Astrophysics
• Radio Astronomy
• +۳ مورد دیگر

Sherry Chhabra is a Research Fellow in the Physics & Astronomy Department at George Mason University. Her research focuses on solar physics, plasma dynamics, and radio astronomy, with a particular emphasis on coronal heating mechanisms, solar transient events, and space weather phenomena. She contributes to advanced observational facilities like the Owens Valley Long Wavelength Array (OVRO-LWA), leveraging low-frequency radio imaging to study solar activity and its heliospheric impacts. Her work spans theoretical modeling of coronal loops, observational analysis of solar radio bursts, and interdisciplinary projects involving multiwavelength observations. She actively participates in developing CubeSat missions for solar X-ray spectroscopy and advancing instrumentation for gravitational wave precursor detection. Recent efforts include diagnosing plasma properties in active regions and investigating particle acceleration processes in solar flares. Key research themes: Coronal plasma dynamics, solar radio emission mechanisms, and space weather forecasting. Instrumentation expertise: Radio interferometry, spectral imaging, and low-frequency solar observations. Chhabra's contributions bridge fundamental solar physics with applied space science, addressing questions about energy transfer in the corona and the role of transient events in shaping the heliosphere.

Robert Steglińskiمشاهده پروفایل

استادیار

• Mathematical Analysis
• Differential Equations
• Nonlinear Analysis
• +۳ مورد دیگر

Robert Stegliński is an Assistant Professor at the Division of Mathematical Modelling, Lodz University of Technology. His research focuses on mathematical analysis of local and nonlocal differential and difference equations, with particular emphasis on p-Laplacian operators, variable exponent equations, and critical point theory.

Patricia "Trish" Kelshawمشاهده پروفایل

استادیار

• Epidemiology
• Injury Prevention
• Pediatrics
• +۳ مورد دیگر

Dr. Patricia "Trish" Kelshaw is an Assistant Professor and Director of the Brain Research Assessment Initiative of New Hampshire (BRAIN) Laboratory at the University of New Hampshire's Department of Kinesiology. Certified athletic trainer with extensive experience supporting athletes across professional, collegiate, and youth levels, she teaches courses in athletic training and health sciences. Ph.D. in Kinesiology, George Mason University (2020) M.S. in Exercise, Fitness and Health Promotion, George Mason University B.S. in Athletic Training, George Mason University Her research focuses on traumatic brain injuries across diverse populations, emphasizing underrepresented groups in concussion research including socio-demographic variations, language diversity, and pre-existing health conditions. Key areas include: Concussion prevention strategies Injury recognition and recovery protocols Wearable technology applications Epidemiological analysis Policy development Recent publications examine headgear safety attitudes, cross-cultural assessment tools, and biomechanical factors in youth concussion. Major funders include: National Operating Committee on Standards for Athletic Equipment USA Lacrosse NH-INBRE (NIH IDeA SEED) Scientific recognition includes: 2024 Outstanding New Investigator Research Award (UNH College of Health and Human Services) 2018 Harvard Medical School Concussion Research Fellowship Active in: Clinical consulting (Virginia Department of Health/CDC) Teaching (AT 665, AT 715, HS 501, HS 656) Mentoring graduate/undergraduate students

Matthew Cravenمشاهده پروفایل

مدرس

• Offshore Renewable Energy
• Cyber Security
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Matthew Craven is the Associate Head for Undergraduate Education and Lecturer in Applied Mathematics at the School of Engineering, Computing and Mathematics, University of Plymouth. He leads the Plymouth Optimisation Group and Big Data research group, with a focus on interdisciplinary AI and Data Science applications in Offshore Renewable Energy (ORE) and Cyber Security. His research includes quantum computing for ORE layout optimization, digital twins for floating wind turbines, and AI-driven cyber security protocol analysis. He has secured over £1.2M in grants, including EPSRC ORE DTP and Royal Academy of Engineering projects, and supervised numerous PhD students in these areas. Craven is a member of the University Senate and co-organizes the Applied Mathematics seminar series. He has been recognized with the University’s 'Inspirational Teacher of the Year' award and has developed courses across undergraduate and postgraduate levels, including MATH051 and GS19 R for research. His teaching focuses on optimization, networks, and foundational mathematics, emphasizing inclusive education post-COVID-19. His scientific awards include the 2021 SSTAR Award and multiple nominations, alongside contributions to global education through collaborations like the British Council’s Pakistan STEM initiative. His work aligns with UN SDG7 (Affordable and Clean Energy) and integrates ethical, technical, and educational dimensions across multiple disciplines.