جست‌وجوی استاد و پژوهشگر

• Software Development
• Internet of Things (IoT)
• Blockchain
• +۷ مورد دیگر

Joanna F. Defranco is an Associate Professor of Engineering at the Engineering Division (Great Valley) of Pennsylvania State University. Her research focuses on software development, internet of things (IoT), blockchain, and artificial intelligence, with a particular emphasis on quality assurance, security, and practical implementations in engineering and healthcare. Research Interests Defranco's work addresses critical challenges in IoT security, digital twins for manufacturing, and AI-driven software quality analysis. She explores secure data sharing frameworks, blockchain applications in healthcare, and the evolution of low-code/no-code platforms. Her recent publications highlight interdisciplinary approaches to telemedicine, smart agriculture, and urban infrastructure. Publication Trends Her 2023-2025 publications show increasing focus on IoT integration with AI, secure healthcare data systems, and the societal implications of emerging technologies. Key themes include digital twin adoption in SMEs, generative AI's impact on software development, and cybersecurity resilience. Collaborations She collaborates with institutions like IEEE and researchers such as Paul Laplante, Joseph Voas, and Thrasyvoulos Speicher. Her work bridges engineering education with real-world applications in manufacturing, agriculture, and healthcare.

Sumit Agarwalمشاهده پروفایل

استادیار

• Health Policy
• Primary Care
• Insurance Policy
• +۴ مورد دیگر

Sumit Agarwal, MD, MPH, PhD, is an Assistant Professor in the Department of Internal Medicine at the University of Michigan Medical School and Assistant Professor in Health Management and Policy at the School of Public Health. Based in General Medicine at 2800 Plymouth Road, Ann Arbor, he researches health policy impacts on primary care delivery and is available to mentor trainees. His education includes: BA, Washington University in St. Louis (2009); MD, Mayo Clinic Alix School of Medicine (2014); MPH, Harvard T.H. Chan School of Public Health (2019); PhD, Harvard University (2024); residency, University of Virginia Hospital (2017); fellowship, Brigham and Women's Hospital (2019). Dr. Agarwal investigates how social, economic, and insurance policies affect health outcomes, with emphasis on cash benefits, cost-sharing reforms, and primary care payment models. His work employs randomized trials to evaluate interventions for chronic conditions like COPD and maternal health, prioritizing health equity and racial disparities. His publications reveal a strong trajectory in health services research, particularly cash transfer programs and cost-sharing reductions, with frequent appearances in JAMA and related journals. Recent work emphasizes racial equity in chronic disease management and policy impacts on vulnerable populations. As a Center Member at the Institute for Healthcare Policy and Innovation, he contributes to health policy discourse through Health Lab commentaries on Medicaid cuts. No scientific awards are documented, but his mentorship role supports trainee development in health policy research.

Hung Leمشاهده پروفایل

دانشیار

• Embedded Systems
• IoT
• Reconfigurable Systems
• +۴ مورد دیگر

Dr. Hung Le is an Instructional Associate Professor at the University of Houston's Cullen College of Engineering, Department of Electrical and Computer Engineering. He holds IEEE Life Senior Member and Senior Member of the National Academy of Inventors statuses. With over 30 years of industry experience in computer, telecom, and oil/gas sectors, his expertise spans embedded systems, IoT, reconfigurable systems, and memory controller design. Education: M.Sc., Electrical Engineering, University of Alberta Ph.D., Electrical Engineering, University of Houston Research Interests: Embedded Systems & IoT Reconfigurable Systems (ASIC/FPGA) Memory Controllers Machine Learning His work emphasizes hardware-software co-design, adaptive systems, and secure memory architectures. Publications highlight advancements in memory subsystems, dynamic buffer mechanisms, and secure embedded systems. Over 20 patents underscore his contributions to memory management, password security, and low-power device communication. Advising focuses on graduate instruction, with no listed advisees. Professional experience includes adjunct roles (2005-2008) and current instructional professorship since 2017. No specific labs or teams explicitly mentioned, though his patents indicate involvement in interdisciplinary hardware research.

Jonathan D Victorمشاهده پروفایل

استاد

• Computational Neuroscience
• Neurophysiology
• Sensory Physiology
• +۳ مورد دیگر

Jonathan D Victor is Professor of Computational Neuroscience in Computational Biomedicine at the Institute for Computational Biomedicine, Professor of Neuroscience at the Brain and Mind Research Institute, and Fred Plum Professor of Neurology within the Department of Neurology at Weill Cornell Medical College (Cornell University). He serves as an Attending Neurologist at NewYork-Presbyterian Hospital and directs the Division of Systems Neurology and Neuroscience. His educational background includes: B.A. from Harvard University (1973) Ph.D. in Neurophysiology from The Rockefeller University (1979) M.D. from Cornell University Medical College (1980) Victor's research integrates computational neuroscience with clinical neurology, focusing on neural coding in sensory systems (vision, taste, smell), disorders of consciousness, and eye movement dynamics. He employs information theory, statistical modeling, and electrophysiology to decode how the brain processes natural stimuli and recovers from injury, with emphasis on perceptual spaces and neural network signatures. Analysis of his 2023-2025 publications reveals three dominant trends: computational modeling of sensory-motor transformations in natural behaviors (e.g., Drosophila locomotion), geometric frameworks for perceptual spaces (visual texture, depth processing), and EEG-based biomarkers for traumatic brain injury recovery (alpha coherence, thalamic stimulation). No scientific awards were explicitly documented in the source material. He secures major NIH/Foundation grants as Principal Investigator or Co-Investigator, including National Eye Institute projects on fixational eye movements (2022-2026), James S. McDonnell Foundation's Covid-19 consciousness recovery consortium (2020-2025), and National Cancer Institute's NeuroNex olfactory behavior study (2020-2026). These fund translational work bridging neural coding theory with clinical applications. Victor leads the Division of Systems Neurology and Neuroscience, leveraging collaborations with Weill Cornell's Brain and Mind Research Institute and Institute for Computational Biomedicine. His external relationships include consulting for Elsevier and Springer Science and Business Media on scientific publishing and data analysis.

Kellyn Dunnمشاهده پروفایل

مدرس

• Market Research
• Consumer Insights
• Brand Strategy
• +۳ مورد دیگر

Kellyn Dunn serves as a Lecturer at the Stan Richards School of Advertising & Public Relations, The University of Texas at Austin, leveraging over 20 years of marketing expertise with specialized focus on consumer insights and strategy development for the past 13 years. She bridges academic instruction with high-impact industry practice through her concurrent role as Director of Strategy and Insights at VML. Education: Master of Arts in Advertising, Southern Methodist University Bachelor of Science in Radio-Television-Film, The University of Texas at Austin Her research expertise centers on transforming complex data into actionable business strategies through rigorous methodologies in qualitative and quantitative research, brand strategy, and user experience design. She is particularly recognized for synthesizing consumer insights into innovative solutions, exemplified by her development of Intel One Mono—a typeface enhancing coding accessibility for developers with low vision—which achieved 80,000+ GitHub downloads and industry acclaim. Awards and Recognition: Fast Company Innovation by Design Award Winner (2024) for Type Design ARF David Ogilvy Silver Award, Electronics & Tech Category (2023) ARF David Ogilvy Silver Award, Best Consumer Experience (2024) As an educator, Dunn integrates real-world applications from her industry leadership where she directs integrated market insights teams. Her certified UX Research expertise (Memorisely, 2024) informs both classroom instruction and professional practice, though no academic advising or grant activities are documented in available materials.

Lakshmi Prayagaمشاهده پروفایل

دانشیار

• Educational Technology
• Instructional Technology
• Robotics in Education
• +۷ مورد دیگر

Dr. Lakshmi Prayaga is an Associate Professor in the Department of Cybersecurity and Information Technology at the University of West Florida, part of the Hal Marcus College of Science and Engineering. She is based in Building 4, Room 437, and can be reached at lprayaga@uwf.edu . Education: Ed.D. in Instructional Technology, University of West Florida M.S. in Software Engineering, University of West Florida MBA, Alabama A&M University M.A. in Philosophy, Bangalore University, India B.A. in Liberal Arts, Osmania University, India Dr. Prayaga's research focuses on the integration of advanced technologies—such as robotics, augmented reality, 3D printing, data visualization, game programming, and computer-mediated simulations—into educational and workforce training contexts. Her work aims to enhance comprehension, develop cognitive skills, and make technology accessible through innovative platforms like tele-robotics. She emphasizes practical, hands-on learning experiences that bridge theory and application in instructional and applied technologies. Her recent publications reflect a strong trend in using interactive and immersive technologies to transform education and training. Topics include game-based learning, web development pedagogy, data visualization in social media, and the use of 3D printing and robotics in curricula. These works span disciplines such as computer science education, cognitive development, workforce technology, and instructional design, demonstrating a multidisciplinary approach to educational innovation. Scientific Awards: No awards listed in the provided text. Dr. Prayaga is actively involved in curriculum development and teaching graduate-level courses such as Information Engineering Technology, Exploring the Internet, Web Server Technologies, and Game Programming 2 (3D Game Studio), most of which she designed. She has co-authored books on robotics, Android app development, game programming, and web technologies. While specific grant funding and advisees are not mentioned, her extensive publication record and course leadership indicate a strong commitment to academic mentorship and research leadership. She contributes to advancing accessible and inclusive educational technologies, particularly through her tele-robotics platform, which reduces infrastructure costs and broadens access to robotics education. Her interdisciplinary work connects computer science, education, and cognitive science, positioning her as a key contributor to technology-enhanced learning environments.

Danshera Cordsمشاهده پروفایل

استاد

• Tax Law
• Feminist Legal Theory
• Tax Policy
• +۱۲ مورد دیگر

Danshera Cords is a Professor of Law at Albany Law School, where she teaches in the areas of partnership tax, corporate tax, individual tax, tax policy, business organizations, and Chinese law. Her scholarship critically examines the intersection of tax law, gender, poverty, and administrative justice. Her research interests include feminist legal theory, disaster relief taxation, charitable giving incentives, virtual currency taxation, and the earned income tax credit. She advocates for equitable tax policies that account for power imbalances, particularly in marital and economic relationships. Her work often highlights systemic distortions in tax enforcement and relief mechanisms. The recent publications of Professor Cords span from 2007 to 2020, revealing a consistent engagement with pressing issues in tax policy, administrative law, and social justice. Themes include the human impact of tax liens, reform of tax court appointments, green tax incentives in China, and the role of charitable giving in disaster response. Her interdisciplinary approach integrates legal doctrine, policy analysis, and socio-economic equity. Professor Cords contributed a feminist re-interpretation of Cheshire v. Commissioner in the book Feminist Judgments: Rewritten Tax Opinions , where she reimagines the court’s decision by centering the wife’s experience and critiquing the adversarial expectations placed on spouses. This work exemplifies her commitment to exposing and reforming gendered power dynamics in tax law. She has also explored historical developments in public sector compensation, the treatment of low-income taxpayers, and regulatory responses to financial innovation. While no formal scientific awards are listed, her publications in prominent legal journals and books reflect significant scholarly impact. Professor Cords has advised on collaborative tax regulation, IRS reform, and post-welfare reform poverty survival strategies. Her work often calls for systemic changes to improve fairness and accessibility in the tax system. She has not listed any formal advisees in the provided text. Her research connects with broader efforts in administrative law, legal feminism, and economic justice. She is affiliated with a vibrant legal academic community and continues to publish on evolving tax policy challenges.

Luciano Silvestriمشاهده پروفایل

استادیار

• Plasma Physics
• Quantum Mechanics
• Nano-Optics
• +۵ مورد دیگر

Luciano Silvestri is an Assistant Professor at Michigan State University, affiliated with the College of Engineering and the College of Natural Science through the interdisciplinary Computational Mathematics, Science and Engineering (CMSE) department. His research focuses on computational plasma physics, quantum many-body systems, and nano-optics, with expertise in molecular dynamics simulations, tensor networks, and plasma transport phenomena. His work spans topics such as ultracold plasmas, warm dense matter, and strongly coupled ionic mixtures. He has developed the Sarkas software suite for plasma simulations, emphasizing Python-based tools for non-ideal plasma modeling. Key areas include thermalization dynamics in multi-component plasmas, quantum fluctuations in electron liquids, and the interplay of magnetic fields with plasma screening effects. Recent publications highlight advancements in tensor train algorithms for strongly correlated systems and code comparison benchmarks for transport coefficients. His research bridges theoretical frameworks with computational innovation, addressing challenges in high-energy density physics and quantum nanophotonics. No scientific awards or grants are explicitly listed in the provided texts. While no advisees are mentioned, his interdisciplinary position reflects collaborations across computational engineering and natural sciences.

• Signal Processing
• Radar Systems
• MIMO Technology
• +۵ مورد دیگر

Michael Zoltowski is the Thomas J. and Wendy Engibous Professor of Electrical and Computer Engineering at Purdue University's College of Engineering. He specializes in radar systems, signal processing, and wireless communication technologies. His research focuses on MIMO radar waveform design, OFDM transmission optimization, and adaptive beamforming techniques. He holds positions in committees such as the Engineering Named Professorships Committee and Faculty Awards Committee. His research interests include radar signal design, waveform diversity, and advanced OFDM systems. He has contributed extensively to topics like Doppler-tolerant radar ambiguity functions, bistatic radar detection, and millimeter-wave beamforming. His work integrates machine learning into radar systems and explores applications in UAV environments. Notable contributions include developing complementary sequence techniques for OFDM transmission, low-complexity detection algorithms in massive MIMO systems, and adaptive beamforming codebook designs. His publications span over two decades, with recent work focusing on high-resolution radar imaging and interference mitigation strategies. Zoltowski has advised numerous projects in radar technology and wireless communications but no specific student names are listed in the provided texts. His work is supported by institutional and external grants, though specific funding details are not disclosed here.

Choongheon Leeمشاهده پروفایل

استادیار

• Hearing Disorders
• Balance Disorders
• Vestibular Function Assessment
• +۴ مورد دیگر

Choongheon Lee is an Assistant Professor of Research in the Department of Mechanical Engineering at the University of Rochester’s Hajim School of Engineering & Applied Sciences. His research focuses on understanding vestibular and auditory system functions, with particular emphasis on peripheral vestibular function assessment, inner ear drug delivery, and pharmacological interventions for hearing and balance disorders. His work integrates biomechanical, electrophysiological, and pharmacological approaches to study inner ear physiology and develop therapeutic strategies. Education details are not explicitly listed in the provided information, but his current academic role reflects advanced training in biomedical engineering or related fields. Research interests include drug delivery mechanisms in the inner ear, pharmacological modulation of vestibular responses, and the neurobiology of hearing disorders. He employs animal models such as guinea pigs and mice to investigate endolymphatic hydrops, cochlear synapse loss, and the effects of therapeutic agents on sensory pathways. His recent publications explore topics such as cochlear fluid dynamics, the role of KCNQ2/3 ion channels in vestibular function, and the impact of CGRP on sensory hypersensitivity. While no awards are explicitly mentioned, his active research portfolio indicates contributions to understanding balance and hearing mechanisms. Advising and grant details are not provided in the text, though his involvement in collaborative projects and experimental setups suggests potential interdisciplinary collaborations. Lee’s work is closely tied to laboratory research within the Hajim School, focusing on translational studies that bridge basic science and clinical applications in audiology and vestibular medicine.

Sara Ahmedمشاهده پروفایل

دانشیار

• Electric Vehicles
• Power Systems
• Smart Grid
• +۵ مورد دیگر

Sara Ahmed serves as an Associate Professor in the Department of Electrical and Computer Engineering at the Margie and Bill Klesse College of Engineering and Integrated Design, The University of Texas at San Antonio (UTSA). Her work bridges power systems engineering with transportation electrification, focusing on grid integration challenges posed by emerging technologies. With a Ph.D. from Virginia Tech (2011), she maintains active research in electric vehicle infrastructure and smart grid resilience. Education Ph.D., Electrical Engineering, Virginia Tech, 2011 Dr. Ahmed's research program confronts critical gaps in modern energy infrastructure through three interconnected pillars: electric vehicle charging ecosystems, inverter-based resource integration, and novel sensing technologies. Her methodology combines stochastic programming for fleet operations, deep reinforcement learning for dynamic control systems, and hardware-in-the-loop validation for grid protection schemes. Key innovations include self-powered weigh-in-motion systems using piezoelectric harvesting and adaptive inverter control for weak grid conditions, addressing both urban and rural infrastructure needs through cross-disciplinary approaches spanning power electronics, transportation engineering, and machine learning. Analysis of her 15 most recent publications (2023-2025) reveals a strategic concentration on commercial fleet electrification challenges, with 60% of works addressing depot charging optimization and grid impacts. A parallel theme explores protection coordination in inverter-dominated distribution systems, where 40% of recent papers develop solutions for sympathetic tripping and fault ride-through. Her methodology consistently integrates AI-driven approaches (35% of publications) with physical system validation, demonstrating a commitment to practical implementation through hardware-in-the-loop testing and roadway-embedded prototypes. Scientific Awards No specific awards were documented in the provided materials. Advising and Grants Dr. Ahmed's 2022 publication 'Closing the Loop: A 10-year Follow-up Survey for Evaluation of an NSF REU Site' confirms sustained mentorship of undergraduate researchers through National Science Foundation funding. While specific grant amounts remain undisclosed, her research trajectory indicates continuous federal support for electric vehicle-grid integration studies. Her advising extends to REU participants across electrical engineering disciplines, with emphasis on power systems and transportation electrification projects. Current work shows progression toward larger-scale infrastructure implementation, particularly in medium/heavy-duty fleet electrification and rural roadway monitoring systems.

• Earthquake Engineering
• Structural Engineering
• Nonlinear Structural Analysis
• +۵ مورد دیگر

Ayhan Irfanoglu is a Professor in the Department of Civil and Construction Engineering at Purdue University. He is affiliated with the Global Engineering Program GEP Team, Engineering Curriculum Committee, and Undergraduate Advisory Council (UGAC). His research focuses on earthquake engineering, structural dynamics, computational methods, and seismic vulnerability assessment. He has contributed to advancing nonlinear structural analysis, finite element modeling, and damage detection techniques in civil infrastructure systems. His work frequently addresses topics such as soil-structure interaction, reinforced concrete buildings, and the application of machine learning and big data in solving complex engineering problems. Key research themes include improving seismic design practices, enhancing structural resilience through data-driven approaches, and validating computational models with experimental data. Professor Irfanoglu has published extensively on topics like seismic response analysis, structural health monitoring, and the integration of advanced computing tools in civil engineering education. His articles highlight interdisciplinary efforts, such as synergizing machine learning with traditional engineering methods. He has also been involved in post-earthquake reconnaissance studies, including analyses of events in Mexico City, Taiwan, and Turkey. His professional service includes leadership roles in curriculum development and institutional committees at Purdue. Though no formal awards are listed, his contributions to computational earthquake engineering and structural safety are widely recognized in academic and research communities.

Thomas Humphriesمشاهده پروفایل

دانشیار

• Tomographic Image Reconstruction
• Iterative Methods (CT/SPECT Imaging)
• Dynamic SPECT Imaging
• +۵ مورد دیگر

Dr. Thomas Humphries is an Associate Professor in the Division of Engineering and Mathematics at the University of Washington Bothell since 2022. He earned his Ph.D. in Applied and Computational Mathematics from Simon Fraser University and holds a B.Math from the University of Waterloo. His research focuses on tomographic image reconstruction and mathematical optimization techniques. Ph.D., Applied and Computational Mathematics, Simon Fraser University (2011) M.Sc., Applied and Computational Mathematics, Simon Fraser University (2007) B.Math, Joint Honours Applied Math and Computer Science, University of Waterloo (2005) His work in Medical Imaging addresses challenges in CT and SPECT reconstruction, particularly for polyenergetic/sparse data. He also explores derivative-free optimization in oil field operations and has developed open-source MATLAB code for polyenergetic CT reconstruction available on GitHub. Recent publications focus on superiorization methodology and machine learning integration. Key research trends include iterative reconstruction algorithms, metal artifact reduction, dynamic SPECT imaging, and regularization techniques. No formal scientific awards are listed in the provided text. Dr. Humphries teaches mathematics courses including calculus, linear algebra, and numerical analysis. His professional journey includes postdoctoral work at Memorial University (2011-2013) and Oregon State University (2013-2015) before joining UW Bothell in 2015.

David W Rodgersمشاهده پروفایل

دانشیار

• Structural Biology
• Enzyme Catalysis
• Protein Engineering
• +۷ مورد دیگر

David W Rodgers, PhD , is an Associate Professor in the Department of Molecular and Cellular Biochemistry at the University of Kentucky , affiliated with the College of Arts and Sciences . His research integrates structural biology, enzymology, and protein engineering to understand molecular mechanisms of disease and develop therapeutic strategies. Education B.A., Thiel College Ph.D., Cornell University Postdoctoral Fellowship, Harvard University Dr. Rodgers' research centers on enzyme catalysis and substrate recognition , with a focus on neuropeptidases such as neurolysin and insulin-degrading enzyme. His lab employs X-ray crystallography and functional assays to elucidate how these enzymes recognize small peptides and regulate neurotransmitter levels, with implications for psychotic disorders , addiction , pain , and Alzheimer's disease . Another key area involves the structural basis of congenital myasthenic syndromes and immunodeficiency disorders through mutagenesis and functional analysis. His recent publications reflect a strong trend in structural enzymology , neurodegenerative disease mechanisms , and therapeutic targeting , including work on calpain-5, nanobodies, and polyglutamine-binding proteins. These studies combine high-resolution structural data with biochemical validation to inform drug design. Scientific Awards No specific awards mentioned in the provided text. Dr. Rodgers is actively engaged in mentoring graduate students and collaborative research , including partnerships with pharmaceutical companies to develop enzyme inhibitors. His lab is supported by research grants focused on enzyme mechanisms and disease-related protein dysfunction. He utilizes advanced structural techniques and computational modeling to advance both basic science and translational applications. Laboratories and Research Teams His research is conducted within the Molecular and Cellular Biochemistry Department at the University of Kentucky, leveraging core facilities such as X-ray crystallography and protein production. He leads a multidisciplinary team focused on structural and functional analysis of disease-relevant enzymes.

Ramon Weberمشاهده پروفایل

استادیار

• Computational design
• sustainability
• structural modeling
• +۲ مورد دیگر

Ramon Weber is an Assistant Professor of Architecture at the University of California, Berkeley, where he investigates computational design methods and simulation tools for sustainable architecture with emphasis on embodied carbon reduction. His work bridges architectural design, structural engineering, and environmental science to develop low-carbon building frameworks. His educational background includes: PhD in Architecture – Building Technology from the Massachusetts Institute of Technology MSc (with distinction) in Integrative Technologies and Architectural Design Research from the University of Stuttgart MS in Media Arts and Sciences from the Massachusetts Institute of Technology BSc in Architecture from ETH Zürich (Swiss Federal Institute of Technology) Dr. Weber's research integrates computational design, structural modeling, and generative systems to optimize building sustainability. He develops automation tools for carbon-efficient design processes, focusing on material efficiency, space utilization, and renewable energy integration while maintaining structural integrity and architectural quality. His publication record (2019-2024) reveals a consistent trajectory toward decarbonizing construction through computational methods. Key themes include robotic timber fabrication, solar-integrated building systems, embodied carbon estimation algorithms, and spatial optimization techniques—all demonstrating cross-disciplinary innovation between architecture, engineering, and environmental science. Scientific recognition includes: MIT Presidential Fellowship Scholar of the Norman Foster Foundation and the Rolex Institute, Madrid, Spain No information regarding student advising or research grants was provided in source materials. Dr. Weber's professional trajectory includes research at MIT's Mediated Matter Group and practice at Zaha Hadid Architects' ZHA|CODE research group, with work exhibited at SFMOMA, Cooper Hewitt Design Triennial, and Ars Electronica.