جستجوی استاد راهنمای دانشگاهی

Qing Liمشاهده پروفایل

دانشیار

• Photonics
• Nanofabrication
• Quantum Information
• +۳ مورد دیگر

Qing Li is an Associate Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University (CMU), part of the College of Engineering. He holds a B.E. in Electronics Engineering from Tsinghua University (2006) and a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2013). Prior to CMU, he worked as a postdoctoral researcher at the National Institute of Standards and Technology (NIST), where he developed quantum frequency conversion and microresonator-based optical systems. His research focuses on light-matter interactions in integrated photonics, emphasizing nonlinear optics and quantum information processing. He has pioneered silicon carbide and aluminum nitride platforms for chip-scale quantum technologies and optical metrology. Dr. Li has been recognized with prestigious awards including the Darpa Young Faculty Award (2019), OSA Paul F. Forman Team Engineering Excellence Award (2020), and Sigma Xi Best Ph.D. Thesis Award (Georgia Tech). His work bridges classical and quantum information systems, with applications in secure communication, atomic systems interrogation, and high-precision frequency synthesis. He actively contributes to the Pittsburgh Quantum Institute (PQI), advancing regional quantum engineering initiatives. His research group’s key projects include developing compact optical frequency synthesizers, soliton microcombs for communication grids, and entangled photon pair sources for quantum networks. Grants and collaborations support his exploration of novel photonic materials and devices, targeting advancements in both fundamental science and applied technologies.

• Computer Hardware
• FPGA Acceleration
• Artificial Intelligence
• +۸ مورد دیگر

Professor Wayne Luk is a Professor of Computer Engineering at the Department of Computing, Faculty of Engineering, Imperial College London. He leads the Programming Languages and Systems Section and the Custom Computing Research Group, and directs the EPSRC Centre for Doctoral Training in High-performance Embedded and Distributed Systems and the Centre for Advanced Financial Engineering. He previously served as a Visiting Professor at Stanford University from 2006 to 2009. His research spans FPGA acceleration, quantum computing, deep learning optimization, and algorithm-hardware co-design, with affiliations to the CRUK Convergence Science Centre and the Engineering Secure Software Systems group. His research interests include computational modeling for particle physics, causal discovery in agent-based systems, and high-throughput digital electronics. Notable contributions include FPGA-accelerated algorithms for neural networks, quantum circuit simulation, and Bayesian optimization frameworks. His work emphasizes practical applications of reconfigurable hardware in fields like medical imaging, high-energy physics, and financial systems. Professor Luk is a Fellow of the Royal Academy of Engineering, IEEE, and BCS. His publications focus on advancing hardware-aware machine learning, FPGA-based acceleration techniques, and scalable design methodologies. His research bridges theoretical computer science with applied engineering, addressing challenges in real-time systems, embedded computing, and next-generation computing architectures. His academic leadership includes directing interdisciplinary centers and training programs, fostering collaboration across computing, engineering, and physics. Current projects explore quantum computing tools, causal inference systems, and high-performance graph neural networks for particle physics applications.

Eric Beekoمشاهده پروفایل

دانشگاهی

• African Music Traditions
• Cultural Studies
• Ethnomusicology
• +۳ مورد دیگر

Eric Beeko is a Teaching Assistant Professor in the Department of Africana Studies at the University of Pittsburgh, affiliated with the Kenneth P. Dietrich School of Arts and Sciences. His teaching focuses on African studies, including courses like African Civilization, Liberation Movements, and Music in Africa. He holds a Ph.D. in Ethnomusicology from the University of Pittsburgh (2005), alongside advanced degrees from institutions in Ghana. His research explores African musical traditions, cultural practices, and performance aesthetics. Current projects include studies on Neo-Pentecostal/Charismatic church music in Ghana and the interplay between tradition and modernity. Future research plans involve multi-volume studies on African linguistic-cultural distribution and Black performance practices globally. Publications include analyses of Akan music rights, Ghanaian choral innovations, and African cultural heritage. He is developing works on Neo-Pentecostal worship aesthetics and the role of music in identity expression across the African diaspora. Advising and grants are not explicitly listed, but his scholarly activities emphasize collaborative research in ethnomusicology and cultural studies. He is based in Posvar Hall, Office #4152.

Mehrdad Ehsaniمشاهده پروفایل

استاد

• Power Electronics
• Electric and Hybrid Vehicles
• Energy Storage Systems
• +۵ مورد دیگر

Mehrdad Ehsani is a Robert M. Kennedy Endowed Professor of Electrical Engineering at Texas A&M University, leading the Power Electronics and Motor Drives Laboratory. He holds a Ph.D. from the University of Wisconsin-Madison and has over four decades of expertise in power electronics, electric/hybrid vehicles, and energy systems. His research focuses on sustainable energy, advanced power conversion, and vehicle electrification. Educational Background: Ph.D., Electrical Engineering, University of Wisconsin-Madison (1981) M.S., Electrical Engineering, University of Texas at Austin (1974) B.S., Electrical Engineering, University of Texas at Austin (1973) Research Interests: Sustainable power systems, electric/hybrid vehicles, energy storage, power electronics, and aerospace power systems. His work emphasizes practical applications, such as transmotor technology for energy efficiency and grid-interactive buildings. Awards & Recognition: Life Fellow of IEEE SAE Fellow (2005) IEEE Vehicular Technology Society Avant Garde Award (2001) Recipient of multiple Prize Paper Awards (IEEE-IAS) Advising & Grants: Director of Advanced Vehicle Systems Research Program. His lab collaborates with industry on patents, including over 30 granted/pending patents, and advises on sustainable transportation technologies. He has consulted for over 60 companies and government agencies. Labs & Teams: Founder and director of the Power Electronics & Motor Drives Lab, focusing on electric vehicle propulsion, renewable energy integration, and advanced control systems.

• Game Design
• Digital Media Studies
• Cultural Memory
• +۵ مورد دیگر

James Manning is a Lecturer in Digital Design at RMIT University's School of Design. His research focuses on game design, digital media, and cultural memory, exploring topics such as game preservation, livestreaming practices, and the intersection of play and technology. He is particularly interested in 'anarchaeological' approaches to defunct games and the documentation of everyday play practices. His teaching interests include game studies, interactive media, animation aesthetics, and design methodology. He actively supervises research in strategies for reflective shortform game design and has contributed to projects like the Astrosurf interactive dome experience. Key research themes include media archaeology, esports culture, and the sociocultural dimensions of digital games. His work bridges theoretical frameworks with empirical studies, examining how digital platforms shape media consumption and cultural production.

Arvydas Ruseckasمشاهده پروفایل

پژوهشگر ارشد

• Organic Solar Cells
• Photovoltaics
• Material Science
• +۳ مورد دیگر

Dr. Arvydas Ruseckas is a Research Fellow at the School of Physics and Astronomy, University of St Andrews. His research focuses on organic photovoltaics, semiconductor materials, and optoelectronic systems. Key areas include exciton dynamics in solar cells, perovskite photovoltaics, and X-ray detector technologies. He collaborates extensively on interdisciplinary projects, bridging material science with marine biology and quantum optics. Research interests span organic solar cells, energy harvesting, and semiconductor physics, with contributions to understanding charge transfer mechanisms and material optimization. He has published widely on topics such as exciton diffusion, light-harvesting in red algae, and polariton condensates in organic semiconductors. His work often involves experimental studies of thin films, photoluminescence, and device performance, with a focus on advancing sustainable energy technologies and novel optoelectronic applications.

Fabian Broekerمشاهده پروفایل

پژوهشگر ارشد

• Digital Ethnography
• Social Media
• Platforms
• +۴ مورد دیگر

Fabian Broeker is an ESRC Postdoctoral Fellow in the Department of Media and Communications at LSE. His research focuses on technology's role in everyday life, particularly examining social media, dating apps, and their intersections with intimacy, identity, and urban environments. He holds a PhD from King’s College London (2021) and an MSc in Digital Anthropology from UCL. Broeker’s monograph, Love and Technology (Routledge, 2023), details his Berlin-based ethnography of dating app users. Broeker is an Associate Member of the Digital Anthropology Lab at the University of Tübingen. His work merges academic research with filmmaking, having collaborated with institutions like the BFI and British Independent Film Awards. He also consults for tech firms like Google on digital media topics. His research interests include digital ethnography, platform studies, and the spatial dynamics of dating apps. Recent publications analyze dating app rituals, location-porting in tourism, and the evolving digital dynamics of intimacy. Broeker’s work often bridges anthropology, sociology, and urban studies to explore how digital technologies shape contemporary social practices.

Daniel Varroمشاهده پروفایل

استاد

• Model-Based Systems Engineering
• Cyber-Physical Systems
• Software Engineering
• +۱۲ مورد دیگر

Daniel Varro is a Professor affiliated with McGill University (Faculty of Engineering, School of Computer Science), with strong ties to Budapest University of Technology and Economics and Linköping University. He is a leading researcher in model-driven engineering, cyber-physical systems, and software engineering, actively contributing to top-tier conferences such as MODELS, ICSE, and ASE. His research focuses on model-based systems engineering (MBSE) , automated model generation , model transformations , and constraint-based consistency checking . Recently, his work has expanded into integrating large language models (LLMs) and machine learning into modeling workflows, including model querying, domain modeling, and bug detection. The recent publications reveal a strong trend toward AI-augmented modeling, logic-based solvers (e.g., Refinery), and safety assurance of autonomous systems (e.g., COLREGs compliance). His work bridges formal methods with practical software engineering challenges in industrial and safety-critical domains. Scientific Awards: No specific awards mentioned in the text. Advising and Grants: While no explicit list of students or grants is provided, his mentorship in the Doctoral Symposium and repeated leadership roles suggest active supervision and likely grant funding. He has led projects on automated model generation, model quality, and AI integration in modeling. Labs and Teams: Daniel Varro is associated with research groups focused on model-driven engineering and software evolution, likely leading or co-leading teams working on the VIATRA and Refinery frameworks for model transformation and solving.

Daniel M.G. Raffمشاهده پروفایل

دانشیار

• Business History
• Urban History
• Public Policy
• +۴ مورد دیگر

Daniel M.G. Raff is an Associate Professor of Management at the Wharton School of the University of Pennsylvania, where he has been affiliated since 1994. His research bridges business history and strategy, focusing on urban history, public policy, and historical demography. PhD, Massachusetts Institute of Technology, 1987 BPhil, Oxford University, 1978 MPA, Princeton University, 1976 BA, New College, 1973 Raff’s work explores the historical evolution of business institutions, with recent publications analyzing topics such as pre-modern Chinese real estate markets , industrial routines , and strategic risk management . His research often employs archival data and interdisciplinary methodologies. His publications span business history, economic performance, and transactional engineering, reflecting trends in historical demography , corporate strategy , and market evolution . Raff has also contributed to academic leadership as a Trustee of the Business History Conference and Chair of committees at the Economic History Association. Daniel Raff actively engages in teaching courses like Value Creation & Val Cap and Deals: Econ Struc Trans , emphasizing critical historical thinking in strategic business analysis. He is affiliated with institutions such as the National Bureau of Economic Research and the Wharton Financial Institutions Center.

Hans van Lintمشاهده پروفایل

استاد

• Traffic Simulation
• Transportation Engineering
• Data Analytics
• +۳ مورد دیگر

Prof. Hans van Lint is a Professor of Traffic Simulation and Computing at Delft University of Technology (TU Delft), where he holds the Anthony van Leeuwenhoek Chair since 2013. He is affiliated with the Department of Transport & Planning within the Faculty of Civil Engineering and Geosciences. His research focuses on the intersection of traffic flow theory, data analytics, and traffic simulation, with applications in estimating and predicting traffic states in networks. He has supervised numerous PhD students and contributed to valorization projects translating research into practical solutions. Van Lint earned his MSc in Civil Engineering in 1997 and returned to TU Delft for his PhD, which he completed in 2004 on 'Freeway Travel Time Prediction.' He has held roles including Assistant Professor (until 2009), Associate Professor, and has served as Director of Education for the MSc Transport, Infrastructure and Logistics program from 2010–2016. His research interests include traffic simulation frameworks, data assimilation techniques, and the development of tools for traffic state estimation. He has authored influential papers on topics such as microscopic traffic modeling, congestion pattern analysis, and macroscopic fundamental diagrams. His work emphasizes bridging theoretical models with real-world applications, enhancing traffic management and infrastructure planning. Van Lint teaches courses like 'Transport & Planning' and 'Interdisciplinary Fundamentals,' reflecting his commitment to both research and education. He actively contributes to TU Delft's labs, including the Traffic Dynamics, Modelling and Control Lab, advancing interdisciplinary approaches to mobility challenges.

John Gallemoreمشاهده پروفایل

دانشیار

• Corporate Taxation
• Financial Reporting
• Tax Policy Analysis
• +۳ مورد دیگر

John Gallemore is an Associate Professor of Accounting at the University of North Carolina Kenan-Flagler Business School, where he focuses on how corporate tax policy and enforcement shape financial reporting behaviors. His research, published in top journals like the Journal of Accounting & Economics and Contemporary Accounting Research , explores tax policy, regulatory impacts, and banking sector dynamics. He teaches courses such as Strategic Cost Analysis and Performance Evaluation in the MBA program and has been recognized for teaching excellence, including the Emory Williams Award and being named one of Poets & Quants’ 'Best 40 Under 40' professors. Gallemore holds a PhD, MBA, and BSBA from UNC Chapel Hill. His career includes roles at the University of Chicago Booth School of Business before joining UNC in 2021. Awards include the Deloitte Foundation Doctoral Fellowship and FASB Doctoral Consortium Fellowships. His research has been featured in media outlets like the Washington Post and Bloomberg. Key research interests include corporate taxation, regulatory spillovers, AI’s impact on white-collar work, and tax avoidance strategies. His recent articles analyze tax policy expectations, bank regulatory oversight effects, and anti-tax avoidance regulation’s role in market concentration.

• Cardiovascular Disease
• Biomedical Engineering
• Thrombosis Prevention
• +۵ مورد دیگر

Associate Professor Anna Waterhouse is a Robinson Fellow and Head of the Cardiovascular Medical Devices Group at the Charles Perkins Centre, School of Medical Sciences, University of Sydney. Her research focuses on developing antithrombogenic materials and bioinspired medical devices to address cardiovascular diseases. She holds affiliations with the University of Sydney Nano Institute and the Australiasian Society for Biomaterials and Tissue Engineering as Treasurer and Secretary. Education includes a BSc (1st class hons) in Cell Biology from the University of Manchester and a PhD in bioengineering from the University of Sydney. She completed postdoctoral training at Harvard University’s Wyss Institute. Research interests span biomaterials, thrombosis prevention, and medical device engineering. Key projects include liquid-infused surfaces for anti-thrombotic coatings and biomimetic in vitro models. Her work integrates bioengineering, nanotechnology, and surface modification to improve medical device compatibility. Scientific awards include the Robinson Fellowship and CPC Mid-Career Researcher Support Award. Grants funded by ARC, Heart Foundation, and NSW Health support projects like slippery nano-coatings for medical devices. She advises PhD students in biomolecular nanotechnology, endothelial cell studies, and DNA nanostructures. Labs and collaborations involve Sydney Nano Institute and Charles Perkins Centre, focusing on translational research in cardiovascular and biomedical engineering.

• Renaissance Literature
• Early Modern Culture
• Textual Transmission
• +۷ مورد دیگر

Andrew Gordon is Professor of Renaissance Literature and Culture in the School of Language, Literature, Music and Visual Culture at the University of Aberdeen. He is Co-Director of the Centre for Early Modern Studies and serves as REF co-lead for English, demonstrating active leadership in research and academic governance. BA from University of Nebraska-Lincoln (UNL) MA from University of Sussex PhD from Queen Mary's, University of London His research centers on early modern literature and culture, with a focus on textual transmission , letter-writing , cultural memory , and material texts . He explores how literature interacts with cultural practices, especially in early modern London. His current project, Renaissance Cultures of the Foot , innovatively examines the cultural and literary significance of the foot, drawing on anthropological perspectives to analyze embodied experience in print and manuscript culture. The recent scholarly articles and books reflect a strong trend in interdisciplinary humanities, combining literary analysis with historical, material, and gender studies. His work frequently engages with manuscript culture, epistolary networks, and the social functions of memory, particularly in post-Reformation England. His scientific recognition includes the Hunter-Caldwell award for directing The Correspondence of Robert Beale . Hunter-Caldwell award He actively supervises graduate research and welcomes PhD students in areas related to early modern texts, cultural mobility, memory, and community. While specific grants are not listed, his funded project indicates successful grant acquisition. He has also engaged in creative collaborations with theatre professionals, bridging academic research with performance. Andrew Gordon is a central figure in Aberdeen’s Centre for Early Modern Studies, contributing to an interdisciplinary research environment that fosters collaboration across historical periods and methodological approaches.

Tanja Käserمشاهده پروفایل

استادیار

• Machine Learning
• Educational Data Mining
• Learning Analytics
• +۳ مورد دیگر

Tanja Käser is a Tenure Track Assistant Professor at EPFL's School of Computer and Communication Sciences (IC), leading the Machine Learning for Education Laboratory (ML4ED). Her interdisciplinary research bridges machine learning, data mining, and educational technology, focusing on personalized learning systems and human behavior modeling. PhD in Computer Science (ETH Zurich, 2015) - honored with Fritz Kutter Award Former Senior Data Scientist at Swiss Data Science Center (ETH Zurich) Postdoctoral Researcher at Stanford University's Graduate School of Education Research Focus Explainable AI for education Adaptive learning environments Behavioral pattern recognition Generative AI applications in pedagogy User modeling and personalization Learning analytics in unstructured settings Recent Publication Trends Her 2024-2023 work demonstrates: Interpretable clustering of learners Transformer-based language learning prediction GAN applications for creative education Teacher-AI collaboration frameworks Explainability validation methods Modular network architectures Scientific Recognition Fritz Kutter Award for best Swiss computer science thesis (2015) Advising & Collaborations Currently supervises multiple PhD students including: Cock Jade Maï L Glandorf Dominik Güres Fatma-Betül Neshaei Seyed Parsa Radmehr Bahar Shibu Abhinand Shved Ekaterina Research Infrastructure Operates from EPFL's ML4ED laboratory with hybrid on-site and digital educational systems research capabilities.

• Machine Learning
• Artificial Intelligence
• Large Language Models
• +۷ مورد دیگر

Pengtao Xie is an Associate Professor (with tenure as of June 2025) in the Department of Electrical and Computer Engineering at the University of California San Diego. He also serves as Associate Adjunct Professor in the Division of Biomedical Informatics, Department of Medicine, and holds affiliate appointments with the Halıcıoğlu Data Science Institute, School of Biological Sciences, Shu Chien-Gene Lay Department of Bioengineering, Skaggs School of Pharmacy and Pharmaceutical Sciences, and multiple research institutes including the AI Group, Center for Machine-Intelligence, Computing and Security, Institute of Engineering in Medicine, and Institute for Genomic Medicine. Education: PhD in Machine Learning, School of Computer Science, Carnegie Mellon University Research Interests: His research focuses on machine learning inspired by human learning skills, such as self-explanation, small-group learning, and learning by teaching. He applies these techniques to large language models, foundation models, healthcare, and biomedicine. His work spans generative AI, medical imaging, protein modeling, and drug discovery. Recent Research Trends: His 2024–2025 publications emphasize generative AI for ultra-low-data medical image segmentation, multimodal large language models for biomedical applications, protein function prediction, and novel training strategies like task-adaptive pretraining and bi-level optimization for model adaptation. Scientific Awards: NIH MIRA Award (2025) NSF CAREER Award (2024) Best Graduate Teacher Award – UCSD ECE (2023) ICLR Notable-Top-5% Paper (2023) Global Top-100 Chinese Young Scholars in AI (2022) UCSD Faculty Career Development Award (2022) Tencent Faculty Award (2021) Outstanding Reviewer – ICLR (2021) AMIA Doctoral Dissertation Award Finalist (2020) Amazon AWS Research Award (2020) Tencent AI-Lab Faculty Award (2020) Innovator Award – Pittsburgh Business Times (2018) Siebel Scholarship (2014) Advising and Grants: He currently advises PhD students, postdocs, and master’s students. He has received major grants including the NIH MIRA and NSF CAREER awards, and actively mentors Schmidt AI in Science postdocs and graduate students. Teaching and Labs: He teaches ECE285 Deep Generative Models and ECE175B Probabilistic Reasoning and Graphical Models . His lab focuses on foundational and translational AI research with applications in biomedicine and healthcare.