جست‌وجوی استاد و پژوهشگر

Ebrahim Bedeer Mohamedمشاهده پروفایل

استادیار

• Signal Processing
• Wireless Communications
• Artificial Intelligence
• +۳ مورد دیگر

Ebrahim Bedeer Mohamed is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Saskatchewan. He joined in July 2019, following roles as an Assistant Professor (Lecturer) at Ulster University, UK, and postdoctoral fellowships at Carleton University and the University of British Columbia. He holds a Ph.D. (Distinction) from Memorial University of Newfoundland (2014), with expertise in signal processing and wireless communications. His research focuses on optimizing communication systems through advanced signal processing techniques, including faster-than-Nyquist signaling, IoT network design, AI integration, and energy-efficient protocols. Key areas include next-generation communication networks, non-orthogonal modulation, and MIMO systems. Notable contributions include work on channel estimation for FTN signaling, RIS-aided wireless systems, and LR-FHSS protocols in IoT. His publications span spectral efficiency, interference minimization, and energy management in 5G/6G contexts. He actively seeks Ph.D. students with strong backgrounds in signal processing fundamentals. Awards and grants are not explicitly listed in the provided texts. His work emphasizes practical applications, such as UAV trajectory optimization for IoT data collection and energy-efficient caching strategies in dynamic networks.

J. Paul Goodeمشاهده پروفایل

دانشیار

• Nationalism Studies
• Authoritarianism
• Political Science
• +۳ مورد دیگر

J. Paul Goode is an Associate Professor and McMillan Chair in Russian Studies at the Institute of European, Russian and Eurasian Studies (EURUS) within Carleton University’s Faculty of Public and Global Affairs. His research focuses on nationalism, authoritarianism, and political identity in Russia and post-Soviet states. He holds degrees from the University of Oxford (PhD, MPhil), University of Wisconsin-Madison (MA), and University of Texas-Austin (BA). Professor Goode serves as Editor-in-Chief of Communist and Post-Communist Studies and Associate Editor of Nationalities Papers . He contributes to editorial roles at Russian Politics and Social Science Quarterly , and advises Nations and Nationalism . His professional memberships include the Program Committee and advisory board of the Association for the Study of Nationalities, and the Department Development Partnership Program of European University at St. Petersburg. Previous roles include founding Director of the Center for the Study of Nationalism and Coordinator for Russian and East European Studies at the University of Oklahoma, and Convenor of the Research Group on Nationalism, Populism, and Radicalism at the University of Bath. His research explores nationalism in authoritarian contexts, the interplay between state strategies and everyday patriotic practices, and political legitimation mechanisms. Recent projects investigate pandemic politics, AI’s impact on identity, and the evolution of Putin’s governance. He consistently analyses how regimes engineer nationalist narratives to sustain power, with a focus on Russia’s territorial and ideological boundaries. Goode’s work bridges theory and practice through interdisciplinary frameworks, emphasizing constructivist approaches to mass-level nationalism. His editorial leadership aims to democratize scholarly discourse on post-communist and authoritarian systems. He has pioneered studies on hybrid regimes and the challenges of conducting fieldwork in restricted environments. His contributions highlight the need for adaptive research strategies in politically volatile regions.

Alan Sussmanمشاهده پروفایل

استاد

• Databases and Big Data
• High Performance Computing
• Parallel and Distributed Systems
• +۴ مورد دیگر

Alan Sussman is a Professor and Associate Chair of Undergraduate Education in the Computer Science department at the University of Maryland. His research focuses on databases, high-performance computing, parallel systems, and educational curriculum development for computing disciplines. He holds a Ph.D. from Carnegie Mellon University (1991) and a B.S.E. from Princeton University (1982). His educational contributions include integrating parallel and distributed computing concepts into early undergraduate courses, supported by NSF-funded initiatives like the CyberTraining program. He has advised students such as Harshit Soora (Master's) and Xiaolong Tian (PhD). His research spans compiler optimizations for parallel programs, distributed data management systems, and scientific workflow frameworks like DYFLOW. He collaborates with UMIACS and contributes to interdisciplinary projects like the TASCS center. Key innovations include VeloxDFS for distributed dataset streaming, compiler techniques for irregular memory access in PGAS programs, and NetCDFaster for geospatial data optimization. His work emphasizes productivity improvements for high-performance applications and curriculum modernization to address emerging computational challenges. Awards: No individual awards explicitly listed; however, collaborator Jik-Soo Kim received a best paper award in 2006. Grants: NSF CyberTraining, TCPP Curriculum Initiative, and Center for Technology for Advanced Scientific Component Software (TASCS). Labs/Teams: Active in UMIACS and interdisciplinary collaborations, including the TASCS center and InterComm framework development.

Andrea Greveمشاهده پروفایل

مدرس

• Cognitive Psychology
• Memory Studies
• Neuroscience
• +۳ مورد دیگر

Dr Andrea Greve is a Lecturer in the Department of Psychology at the University of Cambridge . Her research focuses on cognitive processes related to memory, prediction error, and learning mechanisms. Key areas of interest include declarative memory formation, semantic predictions, and the influence of novelty on memory retention. She has explored topics such as word learning in variable-choice paradigms, the role of hippocampal lesions in memory binding, and predictive coding in neuroimaging contexts. Her work integrates experimental psychology with neuroscience methodologies, particularly leveraging neuroimaging techniques to investigate memory systems. Notable contributions include studies on false memory effects, the nonmonotonic relationship between object-location memory and expectedness, and the impact of prior knowledge on memory encoding. Dr. Greve has also contributed to methodological advancements, such as improved MRI anonymization for MEG coregistration. While her research spans multiple decades, recent efforts (2023–2025) emphasize predictive frameworks and their applications in understanding cognitive phenomena like semantic surprise and episodic memory formation. Her findings challenge traditional assumptions about fast mapping in adults and highlight the importance of integrating computational models with empirical data. Dr. Greve collaborates extensively with neuroimaging and cognitive science teams, contributing to interdisciplinary projects that bridge theoretical and applied research in memory systems. Her work maintains a strong focus on methodological rigor, particularly in experimental design and data interpretation.

Darian Marie Tottenمشاهده پروفایل

استادیار

• Classical Archaeology
• Roman History
• Mediterranean Studies
• +۴ مورد دیگر

Darian Marie Totten is an Assistant Professor & Director of Classical Studies at McGill University's Department of History and Classical Studies. Her research focuses on Roman archaeology, environmental history, and the intersection of ancient and modern placemaking. She holds a PhD from Stanford University and specializes in Mediterranean regions from 2000 BCE to 600 CE. Education: PhD in Classics/Archaeology from Stanford University (thesis not specified). Research interests include Roman infrastructure, comparative imperial systems (e.g., Han China), urban resilience strategies, and the material culture of labor and exchange. She directs fieldwork at Salapia-Salpi in Apulia, Italy, exploring late antique urbanism and environmental adaptation. Her scholarship bridges archaeological material analysis with historical interpretation, emphasizing interdisciplinary approaches to ancient economies, landscapes, and cultural transitions. Recent work highlights cross-cultural comparisons between Rome and Han China, as well as the long-term dynamics of Mediterranean coastal settlements. Her publications consistently engage with methodological innovation in field archaeology, particularly in paleoenvironmental reconstruction and ceramic sourcing. She also critiques modern uses of Roman heritage in national identity formation, reflecting a commitment to critical archaeology. Current projects include ongoing excavations at Salapia, analysis of Apulian salt production networks, and investigations into late antique glass trade routes. She teaches courses on classical archaeology (CLAS 240) and specialized topics (CLAS 349).

Kyojin Chooمشاهده پروفایل

استادیار

• Charge-domain circuits
• Sensor interfaces
• Energy converters
• +۴ مورد دیگر

Kyojin Choo is a Tenure Track Assistant Professor at the Swiss Federal Institute of Technology Lausanne (EPFL) in the School of Engineering , affiliated with the Mixed-Signal Integrated Circuits Lab (MSIC-LAB). He also holds teaching roles in Microengineering and Electrical and Electronics Engineering at EPFL. B.S. and M.S. in Electrical Engineering from Seoul National University (2007, 2009) Ph.D. in Electrical Engineering from the University of Michigan (2018) His research focuses on charge-domain analog/mixed-signal circuits , low-power sensor interfaces , and compact ADCs for IoT, wearables, and millimeter-scale systems. He has pioneered charge-injection cell techniques for energy-efficient circuits in energy management, sensor front-ends, and communication. His work emphasizes reducing power consumption to nanowatt levels while enabling ultra-compact designs. His recent publications highlight advancements in compact SAR ADCs , low-power MEMS accelerometers , millimeter-scale imaging systems , and ultra-low-power timing generators . His research integrates charge-domain circuit design with sensor interface optimization , energy harvesting , and high-speed link architectures . He holds over 20 US patents and has taught courses in Microengineering and Electrical Engineering at EPFL. His group (MSIC-LAB) addresses challenges in battery-free sensor design, power-constrained system scaling, and commercialization of wearables with unconventional form factors.

Diana Allanمشاهده پروفایل

دانشیار

• Anthropology of Displacement
• Colonial History
• Refugee Studies
• +۳ مورد دیگر

Diana Allan is an Associate Professor in the Department of Anthropology at McGill University, affiliated with the Institute for the Study of International Development (ISID) and holding the Canada Research Chair in the Anthropology of Living Archives. She holds a Ph.D. from Harvard University (2008). Her work focuses on Palestinian refugee experiences in Lebanon, particularly through the Nakba Archive and her ethnographic films. Affiliations: McGill University Anthropology, ISID, Leadership for the Ecozoic Key roles: Co-lead of the Critical Media Lab, filmmaker, and activist scholar Research interests center on camp ecologies, cultural memory, and colonial histories. She explores how material environments shape refugee life through projects like Past Continuous (camp archives) and Partition (film on colonial archives). Themes: Exile, displacement, sensory memory, transnational solidarity Recent publications include Voices of the Nakba (2021) and Refugees of the Revolution (2014), award-winning works analyzing Palestinian narratives. Her films Still Life and So Dear, So Lovely critically examine camp life and memory. Awards: English PEN Award, Palestine Book Award, AAA Middle East Section Prize Current projects investigate Palestinian coastal life, urban food systems in Lebanon, and digital platforms for refugee histories. She collaborates with artists, activists, and communities to create accessible pedagogical tools about displacement.

Sheldon Luمشاهده پروفایل

استاد

• Comparative Literature
• Film Studies
• Visual Culture
• +۴ مورد دیگر

Sheldon Lu is a Distinguished Professor of Comparative Literature at the University of California, Davis. He holds affiliations with East Asian Studies, Performance Studies, Cultural Studies, Film and Media Studies, Critical Theory, and Environmental Humanities. His academic career includes roles as Chair of the Department of Comparative Literature, Director of the Graduate Program in Comparative Literature, and Founding Co-Director of the Film Studies Program. Lu has taught at institutions including the University of Pittsburgh and Beijing Normal University, and served as a Fulbright scholar in Ukraine (2004-2005). Education: B.A. (1984) and Ph.D. (1990) in Comparative Literature from Indiana University and University of Wisconsin-Madison, respectively. His research bridges literary studies, visual culture, film, and China studies. Key publications include Contemporary Chinese Cinema and Visual Culture (2021, BAFTSS Honorable Mention) and Chinese Modernity and Global Biopolitics (2007). He edited the Critical Interventions book series (2009-2019). Lu's work has appeared in journals like New Literary History , Journal of World Literature , and Cinema Journal . Awards include the 2005 Choice Award for Chinese-Language Film: Historiography, Poetics, Politics . He has organized special journal issues on topics ranging from ecocinema to transnational Chinese cinemas. Teaching focuses on Asian literature, film studies, critical theory, and urban culture. Notable courses include World Cinema and East-West Literary Relations .

Michael J. Shelleyمشاهده پروفایل

استاد

• Applied Mathematics
• Biophysics
• Complex Fluids
• +۴ مورد دیگر

Michael J. Shelley is the Lilian and George Lyttle Professor of Applied Mathematics and holds joint appointments in Mathematics, Neural Science, and Mechanical Engineering at New York University's Courant Institute of Mathematical Sciences. He also serves as Co-Director of the Applied Mathematics Laboratory and Director of the Center for Computational Biology at the Flatiron Institute. Education: PhD (Applied Mathematics) from the University of Arizona (1985), MS (Applied Mathematics) from the University of Arizona (1984), BA (Mathematics) from the University of Colorado (1981). Research: Focuses on complex phenomena in active matter, biophysics, and complex fluids. Key areas include fluid-structure interactions (e.g., swimming/flying mechanics), cytoskeletal dynamics, and collective behavior in biological systems. Collaborates closely with experimentalists through the Applied Math Lab and Flatiron Institute. Labs & Affiliations: Co-Director, Applied Mathematics Laboratory; Director, Center for Computational Biology (Simons Foundation); affiliated with NYU’s Courant Institute and Department of Mathematics. Notable Work: Models for microtubule-motor assemblies, active suspensions, and fluid-structure interactions. Pioneered computational frameworks for Stokes suspensions and fiber dynamics in viscous fluids.

Bo Zhuمشاهده پروفایل

استادیار

• Computer Graphics
• Computational Physics
• Scientific Machine Learning
• +۳ مورد دیگر

Bo Zhu is an Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology. His research focuses on computational approaches for complex physical systems, including fluid dynamics, topology optimization, and robotics control. He holds a Ph.D. from Stanford University and completed postdoctoral research at MIT CSAIL. He has been recognized with the NSF Career Award (2022) and multiple best paper awards at SIGGRAPH conferences. Education: B.E.-M.S., Software Engineering, Shanghai Jiao Tong University Ph.D., Computer Science, Stanford University Postdoc, EECS, MIT Research Interests: Develops numerical algorithms and machine learning techniques to simulate fluidic systems, soft materials, and multi-scale phenomena. His work emphasizes vorticity preservation, real-time simulation, and physics-based AI integration. Key Contributions: Pioneered Particle Flow Map (PFM) methods for fluid simulation, developed open-source libraries like SimpleX and PFM Hub, and contributed to projects like Genesis physics engine. Over 50 peer-reviewed publications in top venues (SIGGRAPH, NeurIPS, IEEE TVCG). Awards: NSF Career Award (2022) Best Paper Honorable Mention (SIGGRAPH 2025) Best Paper Award (SIGGRAPH Asia 2024) Grants & Projects: Leads NSF-funded research on Physical AI Design, collaborating with Sandia National Labs on real-time CFD solvers. Active in open-source software development for computational physics and graphics.

Christopher Honeyمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Cognitive Neuroscience
• Neural Dynamics
• +۳ مورد دیگر

Christopher Honey is an Associate Professor in the Department of Psychological & Brain Sciences at Johns Hopkins University, affiliated with the Krieger School of Arts & Sciences. His research focuses on computational cognitive neuroscience, exploring how the brain processes sequential information such as language and memory. He holds a PhD from Indiana University and has held positions at Princeton University and the University of Toronto before joining JHU in 2016. Education: PhD in Psychological and Brain Sciences, Indiana University Postdoctoral Fellowship at Princeton University with Uri Hasson Bachelor’s in Applied Mathematics and English Literature, University of Cape Town Research Interests: Neural dynamics of memory and perception Temporal processing in the brain Cognitive modeling using computational methods Neuroimaging data standards (e.g., BIDS) Publications highlight his work on brain state fluctuations, neuroimaging data structures, and memory enhancement. His lab develops tools for analyzing fMRI and EEG data, emphasizing real-world applications like smartphone-based cognitive interventions. Lab and Collaborations: Active projects on narrative processing and hippocampal replay Development of open-source neuroscience tools like iELVis Focus on translational research for aging populations

Kavan Modiمشاهده پروفایل

استاد

• Quantum Information Theory
• Quantum Mechanics
• Quantum Physics
• +۶ مورد دیگر

Kavan Modi is a Professor at the School of Physics and Astronomy, Monash University. His research focuses on quantum information theory applied to dynamics, metrology, computation, thermodynamics, and relativity. He leads the Monash Quantum Information Science (MonQIS) group and serves as Director of the Centre for Quantum Technology at Transport for NSW (2022–2024). Education: B.Sc. Engineering Physics (Embry-Riddle Aeronautical University, 2001), M.A. Physics (University of Texas at Austin, 2004), Ph.D. Physics (University of Texas at Austin, 2008). Postdoctoral positions included the Centre for Quantum Technologies (Singapore, 2008–2011) and Clarendon Lab, Oxford (2011–2013). Joined Monash in 2014. Research interests center on quantum dynamics, non-Markovian processes, and their applications in quantum computing and information science. Projects include developing error correction codes, quantum algorithms for network analysis, and mitigating correlated noise in quantum systems. He has authored over 111 publications, with recent work emphasizing non-Markovian characterization, quantum process tomography, and topology-based quantum algorithms. Awards and grants include leadership in multiple Australian Research Council projects. Advising/Grants: Primary Chief Investigator in projects like 'Quantum Software Platform' (2023–2026) and 'Mitigating Correlated Noise in Quantum Machines' (2020–2021). Supervises graduate students and collaborates globally on quantum information science. Labs/Teams: MonQIS group focuses on foundational and applied quantum research, integrating theory and experimental collaborations.

• Formal Verification
• Software Testing
• Programming Languages
• +۱۲ مورد دیگر

Alastair F. Donaldson is a Professor and Director of Research in the Department of Computing at Imperial College London, where he leads the FastPL research group. His work bridges formal methods, software testing, and programming languages, with a focus on enhancing the reliability of high-performance and parallel software systems. He has held key roles including Director of Research (since 2023) and previously served as Lecturer (2011–2014), Senior Lecturer (2014–2017), and Reader (2017–2020) before being promoted to Professor in 2020. His research interests include formal verification, compiler testing, GPU programming, concurrency, and fuzzing. He has made significant contributions to the verification of GPU kernels, metamorphic testing of graphics drivers, and the development of tools like GPUVerify and GraphicsFuzz. His work combines theoretical rigor with practical impact, demonstrated by the acquisition of his startup GraphicsFuzz by Google in 2018 and his subsequent roles as Senior Software Engineer and Visiting Researcher at Google. His recent publications reflect a sustained focus on compiler and system reliability, with trends in fuzzing, formal specification, and automated testing of complex systems such as WebGPU, CXL cache coherence, and large language models for code generation. His work increasingly integrates empirical validation with formal techniques to uncover subtle bugs in real-world systems. Scientific awards and recognitions include: 2017 BCS Roger Needham Award EPSRC Early Career Fellowship Fellow of the British Computer Society Best Paper awards at EuroSys 2024, MET 2021, IISWC 2019, IWOCL 2019, and ICST 2016 Best Industry Paper at ICST 2024 ACM SIGSOFT Distinguished Paper at ISSTA 2023 ACM SIGPLAN Most Influential OOPSLA Paper Award (2012 paper), awarded in 2022 Best Student Paper at PPoPP 2014 He has advised numerous PhD students and leads a vibrant research group. He has secured significant research funding and collaborates extensively with industry and academia. His service includes leadership roles such as General Chair of PLDI 2020, PC Chair of ECOOP 2019, and Steering Committee Chair of PLDI (2022–2025). He also serves on the advisory board of PACM-PL and on program committees for top venues including POPL, OOPSLA, PLDI, ICSE, and ISSTA. He leads the FastPL research group, which focuses on the design and implementation of programming tools and techniques for reliable software. The group conducts cutting-edge research in compiler testing, formal methods, and high-performance systems, fostering collaboration across academia and industry.

Caroline Trippelمشاهده پروفایل

استادیار

• Computer Architecture
• Hardware Security
• Formal Methods
• +۵ مورد دیگر

Caroline Trippel is an Assistant Professor in the Departments of Computer Science and Electrical Engineering at Stanford University. Her research focuses on ensuring correctness and security in computer systems through formal methods, with particular emphasis on hardware verification, memory consistency models, and mitigating vulnerabilities like Spectre/Meltdown. She previously worked at Facebook’s FAIR SysML group before joining Stanford. Education: PhD in Computer Science, Princeton University BS in Computer Engineering, Purdue University Her work has influenced the RISC-V ISA memory consistency model and produced tools like CheckMate, which automatically synthesizes hardware exploits for security verification. She explores privacy-preserving ML, ML-driven hardware optimizations (e.g., neural recommendation), and datacenter reliability. Her research has earned awards including the 2020 ACM SIGARCH Dissertation Award and NVIDIA Fellowship. Key contributions include: Formal analysis of RISC-V memory models Exploitation synthesis frameworks (CheckMate) Hardware-software contracts for security Defenses against microarchitectural side-channel attacks Current projects include: VeriCoder: LLM-enhanced RTL code verification Multi-μPATH synthesis for security validation Near-data processing (RecSSD) for recommendation systems

Sharad Malikمشاهده پروفایل

استاد

• Computer Science
• Hardware Security
• Digital Systems Design
• +۵ مورد دیگر

Sharad Malik is the George Van Ness Lothrop Professor of Engineering at Princeton University's Department of Electrical and Computer Engineering. His research focuses on designing functionally correct and secure computing systems, combining system design with mathematical modeling for verification. He pioneered the Instruction-Level Abstraction (ILA) model for SoC verification and has contributed extensively to Boolean satisfiability (SAT) solvers. Education: PhD (1990), M.S. (1987) in Computer Science from UC Berkeley; B.Tech. (1985) in Electrical Engineering from IIT Delhi. Research Interests: Formal Verification of Digital Systems Hardware Security and Trust Boolean Satisfiability Solvers System-on-Chip (SoC) Design Accelerator-rich Platform Architectures Notable Achievements: IEEE CEDA A. Richard Newton Technical Impact Award (2017) 2013 IEEE/ACM DAC Most Cited Paper Award Princeton President’s Distinguished Teaching Award (2009) Advising & Labs: Leads the Malik Group, advising over 50 graduate students and postdocs. Active in postdoc recruitment and mentorship programs.