جستجوی استاد راهنمای دانشگاهی

Gu-Yeon Weiمشاهده پروفایل

استاد

• Computer Science
• Computer Engineering and Architecture
• Electrical Engineering
• +۵ مورد دیگر

Gu-Yeon Wei is the Robert and Suzanne Case Professor of Electrical Engineering and Computer Science at Harvard University's John A. Paulson School of Engineering and Applied Sciences. He also serves as Area Chair for Electrical Engineering and Director of Undergraduate Studies for the department. His research focuses on sustainable computing, VLSI systems, hardware-software co-design, and quantum computing. Wei leads initiatives like the NSF-funded $12M sustainable computing project to reduce computing's carbon footprint by 45% within a decade. His work emphasizes energy-efficient architectures, fault-tolerant systems, and emerging memory technologies. Education details are not explicitly listed, but his academic roles suggest advanced qualifications in electrical engineering. Research interests include computer architecture, AI accelerators, and environmental impact analysis of computing systems. Recent projects explore carbon-efficient design frameworks, PFAS material modeling, and quantum computing performance modeling. Notable grants include multi-institution NSF funding for sustainability in computing. He advises on heterogeneous SoC design, edge AI inference, and noise-resilient systems. His lab (vlsiarch.eecs.harvard.edu) develops agile design methodologies for custom hardware, including open-source tools like SODA for accelerating chip development. Future work targets scalable machine learning inference, cryogenic memory systems, and end-to-end system resilience in autonomous machines.

Sandeep Dattaمشاهده پروفایل

استاد

• Neuroscience
• Sensory Systems
• Motor Systems
• +۳ مورد دیگر

Sandeep Datta, M.D., Ph.D., is a Professor of Neurobiology at Harvard Medical School and Co-Director of the PiNBAC Program. His research focuses on understanding how the brain integrates sensory input and motor output to generate natural behaviors in unrestrained animals. He leads the Datta Lab, which employs interdisciplinary techniques such as optogenetics, single-cell sequencing, and machine learning to study olfactory systems, neural circuits, and behavior. The lab explores how sensory experiences shape motor actions and vice versa, with a particular emphasis on odor-driven behaviors in mice. Key methodologies include closed-loop experiments, functional imaging, and computational approaches like Motion Sequencing to decompose behavioral patterns into structured components. Dr. Datta’s work bridges neuroethology and systems neuroscience, emphasizing the study of animals in ecologically relevant settings. His research has advanced our understanding of olfactory cortex evolution, the interplay between internal states and sensory processing, and the neural mechanisms underlying exploration and learning. He has developed innovative tools for automated behavioral phenotyping, including algorithms for parsing rodent behavior into syntactical elements. His contributions span from molecular genetics to systems-level analyses, addressing fundamental questions about how brains construct purposeful behaviors. While no formal educational background details are provided, his academic credentials include an M.D. and Ph.D., reflecting his dual expertise in clinical and experimental neuroscience. His lab’s collaborations extend to computational neuroscience and biomedical engineering, as evidenced by patents related to facial analysis systems and 3D reconstruction of animal behavior (ArMo method). The Datta Lab actively investigates post-COVID-19 olfactory dysfunction, dopamine’s role in novelty-driven behavior, and the evolutionary conservation of neural circuits across vertebrate species.

Aleks Kissingerمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Software
• Quantum Foundations
• +۴ مورد دیگر

Aleks Kissinger is an Associate Professor of Quantum Computing at the University of Oxford's Department of Computer Science and joint head of the Quantum Group. His research focuses on quantum software, quantum foundations, and diagrammatic reasoning, leveraging tools like the ZX-calculus for circuit optimization and causal inference. He co-authored Picturing Quantum Processes , a foundational text in quantum theory using diagrams. Key roles include organizing conferences like QPL 2022 and developing open-source tools such as PyZX and Chyp. He has advised numerous students, including John van de Wetering and Sander Uijlen, whose theses span quantum compilation and categorical approaches to quantum computing. Research interests emphasize classical and quantum causal models, quantum compilation strategies, and graphical methods for error correction. He contributes to quantum education initiatives, making complex concepts accessible through diagrammatic techniques. Notable projects include the QISS and DeQS initiatives, focusing on quantum software and verification. His work bridges theoretical foundations with practical software development, aiming to advance scalable quantum computing technologies.

• Cyber-physical system security
• Smart Grid security
• Networked systems algorithms
• +۳ مورد دیگر

Binbin Chen is an Associate Professor in Information Systems Technology and Design at Singapore University of Technology and Design (SUTD). His research focuses on enhancing the security and efficiency of interconnected systems like cyber-physical systems and IoT networks. Prior to his current position, he earned a PhD from National University of Singapore (NUS) and a Bachelor's from Peking University, both in Computer Science. Key research areas include smart grid security, networked systems algorithms, and safety-security co-analysis. Notable contributions include work on RFID protocols, fault-tolerant distributed systems, and secure substation control mechanisms. His research has been funded by Singapore's Energy Market Authority (EMA), A*STAR, and the Singapore Cybersecurity Consortium. Publications highlight advancements in secure substation command delaying, privacy-preserving electricity data sharing, and fault-tolerant aggregate function computation. He leads development of tools like CyberSAGE for cyber-physical system security assessment and SoftGrid for substation cybersecurity testing. Received Best Paper Award at ACM SIGCOMM 2010 Contributed to over 30 peer-reviewed journal/conference publications Active in professional service including journal reviewing and conference organization Current research emphasizes integrating security and safety engineering principles in critical infrastructure systems, with particular focus on railway and smart grid resilience.

Ross Millerمشاهده پروفایل

دانشیار

• Biomechanics
• Locomotion
• Osteoarthritis
• +۳ مورد دیگر

Ross Miller is an Associate Professor in the Department of Kinesiology at the University of Maryland's School of Public Health (SPH). His research focuses on the biomechanics of human movement, particularly walking and running mechanics, with emphasis on joint loading dynamics and knee osteoarthritis. He investigates prosthetic limb adaptations, musculoskeletal loading in individuals with limb loss, and injury prevention strategies in athletes and service members. Dr. Miller holds a PhD in Kinesiology from the University of Massachusetts. His work integrates computational modeling, experimental biomechanics, and clinical assessments to understand joint health and movement optimization. Recent studies explore the biomechanical impacts of prosthetic designs, footwear effects on injury risk, and longitudinal knee osteoarthritis progression in high-risk populations. Publications highlight interdisciplinary approaches, including deep learning applications for gait analysis and material science innovations for prosthetic vibration damping. His research has implications for improving rehabilitation protocols, athletic performance, and military personnel mobility post-injury.

Rachel Kurchinمشاهده پروفایل

استاد پژوهش

• Computational Materials Science
• Electronic Structure Theory
• Data Science
• +۵ مورد دیگر

Rachel Kurchin is an Assistant Research Professor in the Materials Science and Engineering Department at Carnegie Mellon University's College of Engineering. She is a faculty affiliate of the Scott Institute for Energy Innovation and a member of the Pittsburgh Quantum Institute. Kurchin leads the Accelerated Computation of Materials for Energy (ACME) group and serves as an editor of the Journal of Open Source Software. Ph.D. in Materials Science and Engineering from MIT (2019) M.Phil. in Materials Science and Metallurgy from Cambridge (2014, supported by Gates Cambridge Scholarship) B.S. in Physics (intensive) from Yale (2013) Dr. Kurchin is a computational materials scientist whose research focuses on using electronic structure theory, data science, and energy device modeling to address climate crisis challenges. Her work spans artificial intelligence applications in materials science , materials computation and informatics , and sustainable energy production, conservation, and storage . She develops scientific codes that bridge computational methods with practical energy solutions, with particular emphasis on making computational materials science more reproducible and accessible. Analysis of her recent publications reveals a strong focus on computational methods for materials discovery, particularly in electrochemical systems and 2D materials. Her work integrates Bayesian statistics for uncertainty quantification, machine learning for materials discovery, and first-principles calculations for understanding material properties. A notable trend is her increasing focus on reproducibility in computational science, reflecting her active participation in initiatives to improve research standards in condensed matter physics. Gates Cambridge Scholarship Blue Waters Graduate Fellowship Manufacturing Futures Initiative Fellowship MolSSI Faculty Fellow (2024) Scientific Software Research Faculty Award from Simons Foundation Dr. Kurchin advises students and researchers working at the intersection of computational methods and energy materials. She collaborates with CBI fellow Evan Spotte-Smith on electrochemical ammonia synthesis research as part of her work with the Carnegie Bosch Institute. Her research is supported by fellowships from CMU's Manufacturing Futures Initiative, the Molecular Sciences Software Institute, and the Simons Foundation. She actively participates in shaping research standards, having contributed to discussions at the International Conference on Reproducibility in Condensed Matter Physics. Dr. Kurchin leads the ACME (Accelerated Computation of Materials for Energy) research group at CMU, which focuses on developing computational approaches to accelerate materials discovery for energy applications. The group works at the intersection of computational materials science, machine learning, and energy systems engineering, with particular emphasis on making computational research more reproducible and accessible to the broader scientific community.

• Neural mechanisms of learning
• Executive control
• Decision-making
• +۵ مورد دیگر

Matthew Roesch is a Professor in the Department of Psychology and Director of the Program in Neuroscience and Cognitive Science at the University of Maryland, College Park. He holds a PhD in Neuroscience from the University of Pittsburgh and completed postdoctoral training at the University of Maryland Medical School. His research focuses on neural mechanisms underlying learning, executive control, decision-making, and their disturbances in addiction, schizophrenia, and aging. He has mentored over 50 undergraduates, 6 graduate students, and 4 post-doctoral researchers, earning awards such as the 'Distinguished Scholar-Teacher' (2022) and 'Excellence in Research Reward' (2018). Education: PhD in Neuroscience, University of Pittsburgh (Department of Neuroscience and Center for the Neural Basis of Cognition) Postdoctoral Positions: Cellular and Integrative Neuroscience Postdoctoral Training Grant at University of Maryland Medical School Key research areas include: Value and motivation encoding in brain circuits Reward prediction errors and attention in decision-making Animal models of addiction, schizophrenia, and aging Social recognition of reward and distress Conflict and response inhibition mechanisms His lab combines electrophysiology, optogenetics, and behavioral paradigms to study neural circuits. Recent work explores molecular container compounds (MCCs) as countermeasures for drug overdoses. Over 90 publications, 9,500 citations, and an h-index of 43 (Google Scholar) reflect his impactful contributions. Awards and recognitions include: Outstanding Mentor Award (2017) Mentor of the Year (2013) Grants and funding include NIH-supported projects and seed grants from the University of Maryland. The Roesch Lab collaborates widely, including with Drs. Lyle Isaacs and Joe Cheer on drug sequestration research.

Lilia Krivodonovaمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Physics
• Discontinuous Galerkin Methods
• +۲ مورد دیگر

Lilia Krivodonova is a Professor in the Department of Applied Mathematics at the University of Waterloo. Her research focuses on developing advanced numerical methods including discontinuous Galerkin techniques, error estimation, adaptive methods, and efficient algorithms for solving partial differential equations on complex geometries. She specializes in computational physics applications such as gas dynamics, acoustics, and wave propagation. Her recent work includes simulations of sound propagation in musical instruments and high-performance computing implementations. Krivodonova maintains an active publication record with recent articles focusing on conservation laws, numerical stability, and GPU-accelerated computations.

• Agent-Based Modeling
• Multi-Agent Systems
• Computer Science Education
• +۴ مورد دیگر

Seán Russell is an Assistant Professor in Computer Science at University College Dublin (UCD), affiliated with the School of Computer Science. He holds a BSc and PhD from UCD, as well as a Professional Diploma in University Teaching and Learning. His research spans agent-based simulation systems, multi-agent architectures, and computer science education. Notable contributions include work on hypermedia MAS, microservices for scalable simulations, and pedagogical strategies for non-native English speakers in CS1 courses. Education: BSc in Computer Science, University College Dublin PhD in Computer Science (details unspecified) Professional Diploma in University Teaching and Learning, University College Dublin Research Interests: Russell focuses on agent-oriented programming, distributed systems (microservices/REST), and innovative teaching methodologies. His work bridges theoretical agent architectures with practical applications like traffic simulation and waste management. Recent education-focused research addresses code quality in CS1, error message comprehension, and linguistic barriers for non-native English students. Grants & Awards: UCD College of Science Teaching Excellence Award (2022) OPTI-ROUTE Grant (2017–2018) Teaching & Learning Award (2021/2022) Teaching & Leadership: Coordinates modules in programming fundamentals (e.g., Intro to Programming 1, Object-Oriented Design) and serves as Vice Chair of the Ireland ACM SIGCSE Chapter. Supervised a PhD student (2019–2024).

Michel Fayolمشاهده پروفایل

استاد

• Cognitive Psychology
• Developmental Psychology
• Educational Psychology
• +۳ مورد دیگر

Professor Michel Fayol is a prominent academic in cognitive and developmental psychology, currently affiliated with Blaise Pascal University at Clermont-Ferrand. His career includes roles as Assistant Professor at the University of Montpellier (1977) and Full Professor at the University of Bourgogne (1981–1998) before moving to Clermont University. His research focuses on the cognitive processes underlying symbolic systems such as writing, counting, and drawing, with particular emphasis on written production dynamics and cognitive load management during text creation. Michel Fayol earned his PhD in Psychology from the University of Bordeaux in 1976. His work explores the interplay between cognitive resources and text production, including spelling, arithmetic problem-solving, and the coordination of subcomponent skills in writing. He has contributed extensively to understanding developmental stages in writing and numeracy, with methodologies involving real-time cognitive measurements and cross-cultural comparisons. Key research themes include: 1) Temporal management of writing tasks, analyzing pauses and writing rates; 2) Parallel and serial processing effects during word production; 3) Adaptation mechanisms in managing cognitive constraints. His findings highlight how individuals dynamically allocate resources to balance creativity and technical execution in writing. Notable contributions include theoretical frameworks for written composition development and empirical studies on handwriting dynamics, syntactic errors in French, and cross-cultural numeracy comparisons. His work bridges cognitive psychology with educational practices, informing strategies for teaching writing and numerical skills.

• Criminology
• Law Enforcement
• Homeland Security
• +۳ مورد دیگر

Craig Miles is an Adjunct Professor in the Department of Criminology, Law, and Society at George Mason University. He has held this role since 2017. Prior to his academic career, he retired as a Special Agent in Charge with the Department of Transportation Office of Inspector General. His law enforcement career began at the Henrico County Division of Police, where he held roles in uniform operations, traffic safety, and research. He later served with the Department of Justice and the United States Secret Service, including assignments in protective divisions and the Federal Bureau of Investigation Joint Terrorism Task Force. Currently, he works in a police oversight role for Fairfax County. Education: Craig holds an M.P.A. from Virginia Commonwealth University and a B.A. in Government from the College of William and Mary. Teaching and Research: He teaches courses on criminal investigations, law enforcement ethics, terrorism, and leadership in justice organizations. His research interests span criminology, law enforcement strategies, homeland security, and organizational leadership in criminal justice systems. Recent presentations include discussions on police candidate assessments and systemic issues in law enforcement workplaces. Affiliations and Impact: Craig’s expertise bridges academic and practical law enforcement domains, emphasizing ethical practices and institutional reform. His courses reflect a focus on balancing legal frameworks with real-world operational challenges.

• Power Electronics
• Renewable Energy Systems
• Communication Systems
• +۳ مورد دیگر

Dr. Ahmad Kharaz is an Associate Professor in Intelligent Instrumentation at the University of Derby's College of Science and Engineering. His research focuses on power electronics, renewable energy systems, and wireless communication technologies. He has contributed to advancements in DC-DC converter designs for renewable applications, distributed space-time block coding for wireless networks, and IoT-based environmental monitoring systems. His work emphasizes energy efficiency, system reliability, and multi-phase converter optimization. Key research interests include modular interleaved converter architectures, adaptive control strategies for power electronics, and cooperative relay networks for improving signal quality in wireless systems. His publications span topics from photovoltaic integration to humidity sensing using optical fiber technologies. Over 30 publications demonstrate his expertise in areas such as power flow analysis, timing error correction in circuits, and MIMO communication systems. While his articles primarily emphasize technical innovations, no scientific awards or grants are explicitly listed in this data. No advising relationships or student collaborations are documented here.

Kirill Morozovمشاهده پروفایل

دانشیار

• Cryptography
• Cybersecurity
• Post-quantum Cryptography
• +۹ مورد دیگر

Kirill Morozov is an Associate Professor at the University of North Texas within the College of Engineering and the Department of Computer Science and Engineering . His research focuses on Cryptography and Cybersecurity , particularly on code-based protocols, post-quantum cryptography, and information-theoretic methods. Research interests include cryptographic protocols from coding and correlated randomness, covering post-quantum cryptography, zero-knowledge systems, secret sharing, and physical-layer key agreement. He has taught courses like Introduction to Computer Security and Applications of Cryptography at UNT since 2018, and previously at Tokyo Institute of Technology (2017) and Kyushu University (2011–2015). His work spans code-based encryption , unconditionally secure protocols , and cloud storage applications , with contributions to zero-knowledge proofs, cheater-identifiable systems, and oblivious transfer over noisy channels. Contact: Kirill.Morozov@unt.edu . No scientific awards explicitly listed. His publications emphasize code-based cryptography , secure computation , and quantum-resistant protocols .

John Boylandمشاهده پروفایل

استاد

• Programming Languages
• Compilers
• Concurrency
• +۳ مورد دیگر

John Boyland is a Professor in the Department of Computer Science at the University of Wisconsin-Milwaukee (UWM), within the College of Engineering & Applied Science. He focuses on enabling programmers to enhance software efficiency and safety through research in programming languages, compilers, concurrency, and logic. His work includes static analysis techniques for detecting complex programming errors and formal methods for concurrency control. Education: PhD in Computer Science, University of California, Berkeley (1996) MS in Computer Science, University of California, Berkeley (1989) BS in Computer Science, University of California, Davis (1987) Research Interests: Boyland’s research emphasizes fractional permissions for resource management, static checking of concurrency, and compiler design. He has contributed to frameworks like SASyLF and tools for formal verification of programming languages. His work bridges theory and practice, addressing challenges in software correctness and efficiency. Publications: His recent work spans formal methods, concurrency control, and type systems. Notable themes include fractional permissions for concurrency safety, gradual typing, and compiler optimizations. Awards: NSF CAREER Award (2000) Phi Beta Kappa (1987) Herbert A. Young Medal (1987) Putnam Math Competition Honorable Mention (1986) Advising & Grants: Boyland has advised six student groups and received a prestigious NSF Career grant. He has also contributed to projects like Molhado, an architectural software configuration management system.

Daniel Yonمشاهده پروفایل

مدرس

• Prediction and learning
• Action and perception
• Metacognition
• +۳ مورد دیگر

Dr. Daniel Yon is a Lecturer in Psychology at Birkbeck, University of London, affiliated with the Department of Psychological Sciences. His research focuses on understanding how predictive models in the brain shape perception, action, and decision-making. He holds a PhD (2018) and MSc (2014) from Birkbeck, and a BA (2013) in Experimental Psychology from the University of Oxford. His work explores prediction mechanisms in cognitive processes, including metacognition, agency awareness, and action-outcome relationships. Key themes include Bayesian brain theories, perceptual inference, and the neural basis of sensory-motor integration. Recent studies highlight enhanced metacognition for unexpected events and computational models of control illusions. Yon serves on the Experimental Psychology Society's early career committee, advocating for researcher support. His lab employs experimental psychology and cognitive neuroscience techniques, emphasizing interdisciplinary approaches. Publications span Current Biology , Nature Communications , and Cognition , with a focus on bridging theory and empirical findings. He actively mentors early-career researchers and emphasizes translational research in mental health contexts, particularly through computational psychiatry frameworks. His work addresses how predictive mechanisms underpin both typical and atypical cognitive processes.