جستجوی استاد راهنمای دانشگاهی

Paul O'Gormanمشاهده پروفایل

استاد

• Atmospheric Dynamics
• Climate Change
• Hydrological Cycle
• +۳ مورد دیگر

Paul O'Gorman is a Professor at the Department of Earth, Atmospheric and Planetary Sciences (EAPS) at the Massachusetts Institute of Technology. He currently serves as the Faculty Chair of the EAPS Committee on Education and as the EAPS Graduate Officer. His research focuses on understanding how climate change affects atmospheric circulation and precipitation patterns, particularly extreme events. Education: BA in Theoretical Physics, Trinity College Dublin MSc in High-Performance Computing, Trinity College Dublin PhD in Aeronautics with Minor in Applied Mathematics, California Institute of Technology Research Interests include atmospheric dynamics, hydrological cycle responses to climate change, moist convection, and the application of machine learning to climate modeling. His work addresses regional variability in extreme precipitation, vertical warming profiles in the tropics, and the fluid dynamics of land-ocean warming contrasts. Scientific Awards : Bernhard Haurwitz Memorial Lectureship (2023), American Meteorological Society MIT School of Science Graduate Teaching Prize (2018) Recent Contributions include co-leading the MIT Climate Grand Challenges flagship project "Preparing for a new world of weather and climate extremes" , which develops tools for predicting climate extremes and transitioning to low-carbon resources. He has also explored the asymmetrical generalization capabilities of machine learning algorithms in climate models under warming versus cooling scenarios.

• Experimental and Behavioral Economics
• Neuroeconomics
• Trust Behavior
• +۳ مورد دیگر

Professor Michael Naef is the Head of the Department of Economics and a Professor at Durham University's Business School. His research focuses on Experimental and Behavioral Economics and Neuroeconomics , exploring topics such as trust dynamics, cultural influences on cooperation, and neurochemical effects on decision-making. He leads the Department of Economics within a triple-accredited business school, emphasizing academic excellence and global connections. Key research interests include investigating how dopamine receptors modulate trust behavior, the origins of cooperative behavior in rice-farming cultures, and the role of testosterone in social interactions. His work combines experimental economics with neuroscience and psychology, often employing pharmacological interventions and neuroimaging techniques. Publications highlight contributions to understanding volatility in trust beliefs (2023), the neurobiological basis of social learning (2019), and testosterone's influence on competitiveness (2017). He advises PhD students Angel Li and Zekun Lin, focusing on advancing behavioral economic theory and applications. Prof. Naef's research has implications for understanding cultural economic differences, mental health impacts on decision-making, and the biological underpinnings of social preferences. His work bridges disciplines, fostering interdisciplinary collaborations in economics, neuroscience, and endocrinology.

• Public Pedagogy
• Popular Culture Studies
• Curriculum Studies
• +۳ مورد دیگر

Jennifer A. Sandlin is an Associate Professor of Justice and Social Inquiry in the School of Social Transformation at Arizona State University (ASU). Her work focuses on public pedagogy, popular culture, and the intersections of education with consumption. She teaches courses on consumption and education, social justice, and cultural pedagogy. Sandlin holds a Ph.D. in Adult Education from the University of Georgia (2001), with a dissertation on educational programs for welfare recipients. She has authored/co-edited numerous books, including Paranoid Pedagogies (2018) and Critical Pedagogies of Consumption (2010), and has published widely in journals such as Journal of Consumer Culture and Adult Education Quarterly . Her research explores anti-consumerism activism, informal learning through popular culture, and the theory/practice of public pedagogy. She co-edits the Journal of Curriculum and Pedagogy and serves on editorial boards for multiple academic journals. Sandlin has received awards including the Early Career Award from the Commission of Professors of Adult Education (2005) and recognition as an Emerging Scholar by the American Association of University Women (2005). Her recent work addresses conspirituality, eco-horror, and pandemic pedagogies, reflecting her commitment to critically examining cultural and social structures. She actively engages in public scholarship through co-edited volumes and research on topics like Disney’s cultural curriculum and the political economy of consumption.

• Hardware Accelerators
• Memristor Technology
• Reservoir Computing
• +۴ مورد دیگر

Md Sakib Hasan is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Mississippi. He holds a Ph.D. in Electrical Engineering from the University of Tennessee-Knoxville (2017). His research focuses on hardware acceleration, neuromorphic computing, and memristor-based systems. Research interests span: AI hardware accelerators and energy-efficient computing Biomimetic systems and bio-inspired electronics Hardware security through chaotic systems and PUFs Recent publications demonstrate strong emphasis on: Neuromorphic architectures for computer vision and temporal processing Biomembrane-based computing systems Chaotic cryptography and secure hardware design

Xinya Duمشاهده پروفایل

استادیار

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Multimodal Models (VLMs)
• +۷ مورد دیگر

Xinya Du is an Assistant Professor in the Department of Computer Science at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. She holds a Ph.D. in Computer Science from Cornell University and completed a postdoctoral fellowship at the University of Illinois at Urbana-Champaign. Her research focuses on advancing trustworthy and impactful AI systems, particularly in Natural Language Processing (NLP), Large Language Models (LLMs), and Vision-Language Models (VLMs). Key research areas include Document understanding and knowledge acquisition Trustworthy reasoning and hallucination detection in LLMs Applications of NLP in scientific research and multimodal systems Alignment of AI systems with human values Dr. Du has received notable awards such as the NSF CAREER Award (2024), Amazon Research Award (2023), and recognition as a Spotlight Rising Star in Data Science. She has authored over 30 papers in top venues like ACL, EMNLP, NeurIPS, and CVPR, contributing to foundational work in multimodal reasoning, LLM evaluation, and automated scientific hypothesis generation. She teaches advanced courses including CS 6301: Special Topics in Computer Science - Deep Learning for NLP and actively mentors students in research projects. Her work has been highlighted in major media and led to impactful open-source contributions, including repositories for event extraction and LLM benchmarking.

Jason D. Bakosمشاهده پروفایل

استاد

• Computer Architecture
• Reconfigurable Computing
• High-Performance Computing
• +۴ مورد دیگر

Dr. Jason D. Bakos is a Professor in the Department of Computer Science and Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. His research focuses on high-performance domain-specific architectures, including reconfigurable computing, embedded systems, and machine learning acceleration. He has held academic positions since 2005, progressing from Assistant to Associate Professor before becoming a full Professor in 2017. Education : Ph.D., Computer Science, University of Pittsburgh (2005) B.S., Computer Science, Youngstown State University (1999) Research Interests : Dr. Bakos specializes in computer architecture at multiple levels (circuit, micro-architectural, and system) with a focus on VLSI design, reconfigurable computing, high-performance computing, and applications in embedded systems. His recent work includes FPGA acceleration of machine learning algorithms, structural health monitoring systems, and real-time signal processing. Awards : 2018 Teaching Award in Computer Science and Engineering 2009 NSF CAREER Award Multiple design competition awards for innovative chip and circuit designs Grants & Funding : He leads and co-leads projects funded by NSF, Savannah River National Laboratory, and industry partners like Texas Instruments. Recent grants focus on edge computing for real-time machine learning, FPGA-based accelerators, and corrosion analysis of nuclear materials. Labs & Teams : His research group collaborates on projects involving embedded systems, FPGA design, and interdisciplinary applications in structural engineering and bioinformatics. He advises a dynamic team of graduate students and post-doctoral researchers.

• Wireless Communications
• Reconfigurable Intelligent Surfaces
• Physical Layer Security
• +۷ مورد دیگر

Dr. Sylvester Boadi Aboagye is an Assistant Professor in the School of Engineering at the University of Guelph, Canada. His research focuses on next-generation wireless communication and sensing systems, including reconfigurable intelligent surfaces (RIS), physical layer security, visible light communication (VLC), terahertz networks, and integrated sensing-communication frameworks. He received his Ph.D. and M.Eng. from Memorial University (Canada) and B.Sc. (Honors) from Kwame Nkrumah University of Science and Technology (Ghana). Prior to joining University of Guelph, he was a Postdoctoral Fellow at York University (2023). Dr. Aboagye's expertise includes machine learning for resource allocation, energy-efficient network design, and prototyping optical RIS systems. He currently serves as an Editor for IEEE Communications Letters and has received notable awards including the Governor General’s Gold Medal and recognition as an Exemplary Reviewer. His work addresses challenges in 6G systems, underwater communications, and sustainable network architectures.

Brendan E. Depueمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Neuroimaging
• Emotional Memory
• +۳ مورد دیگر

Brendan E. Depue, Ph.D., is an Associate Professor and Endowed Chair of Behavioral Brain Imaging and Neurobiology in the Department of Psychological and Brain Sciences at the University of Louisville. He also serves as an Affiliate Assistant Professor in the Department of Anatomical Sciences and Neurobiology. His research focuses on the neuroanatomical substrates of inhibitory and cognitive control, particularly within the prefrontal cortex (PFC), using neuroimaging techniques such as fMRI and structural MRI. Depue’s work explores emotional memory regulation, PTSD, anxiety, and decision-making processes. Depue earned his Ph.D. in 2009 from the University of Colorado at Boulder. His lab, the (N)euro(I)maging (L)aboratory of (C)ognitive, (A)ffective and (M)otoric Processes (NILCAMP), investigates how brain networks regulate cognitive, emotional, and motor functions. His research has identified key neural correlates of memory suppression in PTSD, structural covariance differences in depression, and gender-specific neural connectivity during emotion regulation. Recent publications highlight his exploration of fear learning mechanisms, neural networks underlying interoceptive awareness, and the translational potential of the bed nucleus of the stria terminalis in anxiety research. Depue’s interdisciplinary approach integrates clinical neuroscience with advanced imaging methodologies to address complex mental health challenges.

Rachid Guerraouiمشاهده پروفایل

استاد

• Distributed Computing
• Concurrent Computing
• Byzantine Fault Tolerance
• +۷ مورد دیگر

Rachid Guerraoui is a Full Professor at the École polytechnique fédérale de Lausanne (EPFL) where he leads the Distributed Computing Laboratory (DCL) within the School of Computer and Communication Sciences. He holds appointments in multiple departments including IC-SSC and IC-SIN for teaching, and serves on the IC Academic Evaluation Committee. A Moroccan/Swiss/French researcher, Guerraoui has previously been affiliated with Commissariat à l'Energie Atomique in Saclay, Hewlett-Packard Labs in Palo Alto, the Massachusetts Institute of Technology in Boston, and Collège de France in Paris. Guerraoui's research focuses on distributed and concurrent computing across various scales, from multiprocessors to wide-area networks. His work spans Byzantine fault tolerance, distributed machine learning, blockchain technologies, transactional memory, and consensus algorithms. His recent publications reveal a strong emphasis on Byzantine-resistant machine learning, decentralized learning systems, and the theoretical foundations of distributed consensus. The research demonstrates significant contributions to making distributed systems more robust, efficient, and secure against adversarial conditions. Guerraoui has received numerous prestigious awards including ACM Fellow (2012), Professor at College de France (2018), Nygaard-Dahl Award (2024), and Barroso Award (2025). His work has earned multiple best paper awards at top conferences including DISC, ICDCS, IPDPS, and ACM Middleware. He serves as Associate Editor of the Journal of the ACM (2010-2025) and has chaired program committees for major conferences such as PODC, DISC, and Middleware. As an educator, Guerraoui supervises numerous doctoral students and has mentored many successful researchers who now work at leading institutions and companies including Meta, Oracle Labs, Chainlink Labs, and Protocol Labs. He teaches courses on Distributed Algorithms and Concurrent Algorithms at EPFL, emphasizing both theoretical foundations and practical implementations. His educational initiatives include Wandida, a library of scientific e-synopses, and Zettabytes, projects aimed at making computer science accessible to broader audiences.

Andreas Peter Burgمشاهده پروفایل

دانشیار

• Circuits and systems for telecommunications
• Silicon implementation of communication technologies
• Communication algorithms optimization
• +۵ مورد دیگر

Andreas Peter Burg is a Tenured Associate Professor at the École Polytechnique Fédérale de Lausanne (EPFL), where he leads the Telecommunications Circuits Laboratory (TCL) within the School of Engineering. He holds multiple academic and administrative roles at EPFL including Associate Professor in Teaching (SEL, EDMI, EDEE), Director of SEL Management, and Member of the Doctoral Program Committee for Electrical Engineering. Dr. Burg received his Dipl.-Ing. degree in 2000 and Dr. sc. techn. degree in 2006 from ETH Zurich. His academic career includes positions as SNF Assistant Professor at ETH Zurich (2009-2011) before joining EPFL in January 2011 as a Tenure Track Assistant Professor, where he was promoted to Tenured Associate Professor in June 2018. His research focuses on circuits and systems for telecommunications , with particular expertise in silicon implementation of communication technologies, communication algorithms optimization for hardware, low-power VLSI signal processing, and digital integrated circuits. His work bridges theoretical communication concepts with practical circuit implementations, addressing challenges in wireless and wired communication systems. His recent publications (2024-2025) demonstrate a strong focus on next-generation communication technologies including 6G systems, advanced error correction coding, wireless sensing applications, and ultra-low power circuit design. These works span multiple subfields from LDPC and polar code decoding to RF signal processing and machine learning applications in wireless systems. Willi Studer Award (2000) ETH Medal for diploma thesis (2000) ETH Medal for Ph.D. dissertation (2006) Swiss National Science Foundation Assistant Professorship grant (2008) Dr. Burg has been involved in the development of more than 25 ASICs throughout his career and co-founded Celestrius, an ETH spinoff in MIMO wireless communication. His laboratory work focuses on practical implementations of communication algorithms with emphasis on power efficiency and hardware optimization. Current research directions include 6G technologies, wireless sensing applications, and novel error correction techniques for next-generation communication systems.

Xin Wenمشاهده پروفایل

دانشیار

• Premodern Chinese History
• Inner Asian Studies
• Silk Road History
• +۳ مورد دیگر

Xin Wen is an Associate Professor of Premodern Chinese History and History at Princeton University, holding dual appointments in the Department of East Asian Studies and the Department of History. He serves as the Director of Undergraduate Studies and is affiliated with the Humanities Council and Behrman Faculty Fellows. His research focuses on medieval China and Inner Asia, particularly the Silk Road’s diplomatic networks and urban/cultural transformations in Chang’an. He earned a B.A. from the University of Science and Technology of China (USTC), an M.A. in Pre-modern Chinese History (Tang dynasty) from Peking University, and an M.A. and Ph.D. in Inner Asian and Altaic Studies from Harvard University. Xin Wen’s work bridges historical analysis with archaeological evidence, using multilingual Dunhuang documents and excavated texts to explore trans-Eurasian connections. His first book, The King’s Road: Diplomacy and the Remaking of the Silk Road , reinterprets the Silk Road as a diplomatic rather than commercial network. His second book project examines Chang’an’s post-Tang urban decline and cultural revival, funded by the American Council of Learned Societies. Collaborations include a study of Zoumalou’s third-century administrative documents with Brian Lander and Ling Wenchao. His research interests emphasize diplomatic history, Silk Road studies, urban transformation, and the interplay between memory and place. He actively publishes in journals like T’oung Pao and Journal of Silk Road Art and Archaeology , and his Chinese articles appear in leading journals such as Lishi yanjiu and Beijing daxue xuebao . Awards include the American Historical Association Prize for his first book. Grants and Funding: ACLS fellowship for his second book project. Labs/Teams: Collaborates with international scholars on Zoumalou documents and contributes to Brill’s publication efforts.

Rajendran Jeyavijayanمشاهده پروفایل

دانشیار

• Hardware Security
• Computer Security
• Hardware Fuzzing
• +۴ مورد دیگر

Jeyavijayan 'JV' Rajendran is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, part of the College of Engineering. He is an ASCEND Fellow and leads the Secure and Trustworthy Hardware (SETH) Lab. His research focuses on hardware security, computer security, and novel applications of AI in secure hardware design. Education: PhD in Electrical Engineering (NYU 2015), MS in Computer Engineering (NYU Tandon 2010), BE in Electronics and Communication Engineering (Anna University 2008). Research Interests: Hardware Security, Computer Security, Logic Locking, Hardware IP Protection, and Reinforcement Learning for Security. He explores AI-driven approaches to detect vulnerabilities, protect intellectual property, and enhance secure hardware design through fuzzing, obfuscation, and formal verification. Notable Awards: 2022 Office of Naval Research Young Investigator Award, 2021 IEEE CEDA Ernest Kuh Early Career Award, 2017 NSF CAREER Award. Lab and Teams: The SETH Lab focuses on trustworthy hardware design, developing techniques to secure integrated circuits against reverse engineering and IP theft. Current projects include LLM-based hardware code generation, formal approaches for hardware fuzzing, and AI-driven vulnerability detection.

• Foreign Language Didactics
• Action-Oriented Language Teaching
• Multilingualism
• +۱۰ مورد دیگر

Dagmar Abendroth-Timmer is a Professor in Romance Studies - Didactics at the University of Siegen, Faculty I. She is a leading figure in foreign language didactics, with a strong focus on action-oriented teaching, multilingualism, teacher education, and digital learning environments. Her research is deeply international, involving collaborations across Europe through projects like LANGSCAPE, ENROPE, and ViMuLEnc. University: University of Siegen School: Faculty I Department: Romance Studies - Didactics Position: Professor Email: abendroth@romanistik.uni-siegen.de Her research interests include foreign language didactics, multilingual and intercultural education, teacher professionalization, empirical research methods, and digital learning. She has made significant contributions to the development of action-oriented language teaching models, particularly in digital and multilingual contexts. Her recent publications explore virtual multilingual encounters, translanguaging, and identity formation in language classrooms. The recent articles reflect a strong trend toward digitalization in language education, with a focus on virtual exchange, teacher training in digital environments, and the role of multilingualism in online learning. There is a consistent emphasis on reflective practice, identity, and critical pedagogy across her work. She is actively involved in academic leadership, serving as a network consultant for LANGSCAPE and coordinating international projects. She has contributed to numerous edited volumes and special journal issues, particularly on plurilingualism and teacher education. Dagmar Abendroth-Timmer supervises research assistants and contributes to curriculum development in teacher education. She is engaged in ongoing research projects such as ViMuLEnc, which explores virtual multilingual learning encounters, and drama pedagogy in language teaching. Her work bridges theory and practice, aiming to enhance both teacher training and classroom instruction in foreign languages.

Hossein Valaviمشاهده پروفایل

مدرس

• In-Memory Computing
• Neural Networks
• Hardware Acceleration
• +۳ مورد دیگر

Hossein Valavi is a Lecturer and Assistant Director of Undergraduate Studies at Princeton University, contributing to advancements in computer architecture and hardware acceleration. His research focuses on in-memory computing, neural networks, and energy-efficient systems, with notable work in reconfigurable architectures and mixed-signal processing. He has received multiple teaching awards, including recognition for innovative pandemic-era Car Lab courses and collaborative work honored by the Edison Patent Award. His academic contributions span academic positions since 2018, emphasizing both research and pedagogical excellence. Key technical areas include scalable in-memory computing systems, analog neural network accelerators, and low-power matrix factorization algorithms. His work addresses critical challenges in data movement reduction and hardware-software co-design for modern computing systems. Awards: Teaching Excellence Awards (2021, 2023), Edison Patent Award (2023) Grants & Projects: Leading developments in in-memory computing accelerators and embedded microprocessor designs Research teams under his guidance have produced impactful IP in semiconductor layouts, CNN accelerators, and programmable architectures, aiming to bridge theoretical computer science with practical hardware implementations.

• Leadership Studies
• Organizational Development
• Leadership in Higher Education
• +۴ مورد دیگر

Professor Richard Bolden is a Professor of Leadership and Management at the Bristol Business School, University of the West of England (UWE), where he also directs the Bristol Leadership and Change Centre. His career includes over a decade at the University of Exeter Business School and experience as a consultant, research psychologist, and software developer. He holds a PhD, MA, and BSc. His research focuses on distributed leadership, leadership development in complex systems, and cross-sector partnerships. Key areas include leadership in higher education, healthcare, and public services, with emphasis on paradoxes, complexity, and inclusion. He has published extensively, including a 2023 second edition of Exploring Leadership (Oxford University Press) and serves as Associate Editor of the Leadership journal. Prof. Bolden leads leadership modules for UWE's EMBA and clinical practitioner programs. His funded projects involve organizations like the NHS Leadership Academy and Singapore Civil Service College. Awards include Fellowship with the International Leadership Association. His work bridges academic theory and practical application, addressing systemic challenges through collaborative, inclusive leadership frameworks. Current interests include post-pandemic academic leadership and the 'great resignation' impact.