جست‌وجوی استاد و پژوهشگر

Kevin Webbمشاهده پروفایل

دانشیار

• Networks
• Distributed Systems
• Cloud Computing
• +۵ مورد دیگر

Kevin Webb is an Associate Professor in the Computer Science Department at Swarthmore College . He earned his Ph.D. in Computer Science in 2013 from the University of California, San Diego (UCSD) , advised by Alex Snoeren and Ken Yocum. His academic journey includes a Master of Science (2010) and Bachelor of Science (2007) in Computer Science from UCSD and Georgia Tech, respectively. Research Interests: Networks , Distributed Systems , Cloud Computing , Operating Systems , Parallel Computation , and Computer Science Education Research (focusing on assessment and interactive teaching methods). Publications: His work spans topics like topology switching, tenant segregation in cloud networks, concept inventories for data structures, and tools like Blender and ParaVis. He is a co-author of the open-access textbook Dive into Systems , which introduces computer architecture and systems to students with only a CS1 background. Teaching: He has taught courses such as CS31: Introduction to Computer Systems , CS45: Operating Systems , and CS43: Computer Networks at Swarthmore. At UCSD, he served as a teaching assistant and instructor for courses on distributed systems and operating systems. Contact: Kevin is reachable at kwebb@cs.swarthmore.edu .

Morteza Zihayatمشاهده پروفایل

دانشیار

• Data Analytics
• Human-centered AI
• Decentralized AI
• +۶ مورد دیگر

Morteza Zihayat is an Associate Professor and Canada Research Chair (Tier 2) in Human-Centered Artificial Intelligence at Toronto Metropolitan University. He holds dual appointments in the Faculty of Engineering and Architectural Science (Department of Electrical, Computer, and Biomedical Engineering) and the Ted Rogers School of Management. Additionally, he serves as an Adjunct Professor at the University of Waterloo in Management Sciences and is a Faculty Fellow at IBM's Centre for Advanced Studies. Dr. Zihayat's educational background includes: PhD in Computer Science from York University (2016) MSc in Computer Engineering from University of Tehran (2011) Postdoctoral Research Fellowship at University of Toronto's Faculty of Information (2017) His research lies at the intersection of AI, security, and society with a focus on building fair and transparent AI systems. Dr. Zihayat's expertise spans human-centered AI, fair information retrieval systems, and blockchain-enabled AI infrastructures. His work emphasizes creating AI systems that are accountable and designed to serve the public good, with applications in healthcare, digital media, and social networks. Dr. Zihayat has received numerous accolades including the Canada Research Chair (Tier 2) in Human-Centered AI (2024), Dean's Outstanding Scholarly, Research, and Creative Activity Award (2023), Best Short Paper Award at ECIR (2023), and IBM CAS Faculty Fellowship (2021). His research has attracted over $1.7 million in external funding from agencies such as NSERC, Mitacs, and multiple industry partners including Toronto Transit Commission, The Globe and Mail, AT&T, and IBM. Dr. Zihayat serves as Associate Editor of the Computational Intelligence Journal and is an active reviewer for top-tier venues. He is also Co-director and Co-founder of the Digital Enterprise Analytics and Leadership (DEAL) Research Center.

Jignesh M. Patelمشاهده پروفایل

استاد

• Database Systems
• Query Optimization
• Data Analytics
• +۳ مورد دیگر

Jignesh M. Patel is a Professor in the Computer Science Department at Carnegie Mellon University, where he leads research on efficient data analysis methods. His work focuses on improving both system efficiency (e.g., high-performance data algorithms) and human efficiency (e.g., user productivity with data systems). Research Focus: Patel's group specializes in database systems, query optimization, hardware acceleration, and human-data interaction. Their interdisciplinary work spans: Transactional processing and real-time analytics Query optimization techniques Hardware-algorithm co-design Natural language interfaces for data systems Memory-efficient data processing Professional Activities: Co-founded four technology companies (Paradise, Locomatix, Quickstep, DataChat). Serves on program committees for premier conferences including SIGMOD and CIDR (as co-chair). Teaches database systems courses at CMU. Awards: Received Best Paper Award at DaMoN 2010 for work on cluster efficiency.

• Computer Architecture
• Embedded Systems
• High-Performance Computing
• +۳ مورد دیگر

Zhiqiang Que is a Research Associate in the Department of Computing at Imperial College London, affiliated with the Faculty of Engineering and the Centre for High-Throughput Digital Electronics and Machine Learning. His research focuses on computer architecture, embedded systems, high-performance computing, and CAD tools for hardware design optimization. His research interests include FPGA-based acceleration of machine learning models, hardware-software co-design, and real-time signal processing for scientific applications such as particle physics and gravitational wave experiments. He has contributed to projects involving low-latency graph neural networks (GNNs), Bayesian neural networks, and efficient stream processing on FPGAs. Recent work includes advancements in trustworthy design flows for deep learning acceleration, reconfigurable architectures for recurrent neural networks, and optimizing FPGA-based systems for high-energy physics experiments at the HL-LHC.

Ondrej Vaculinمشاهده پروفایل

استاد

• Passive Vehicle Safety
• Automated Driving
• Vehicle Dynamics
• +۳ مورد دیگر

Prof. Ondrej Vaculin, Ph.D., is a Professor at Technische Hochschule Ingolstadt (THI), specializing in passive vehicle safety, mechatronic systems, and automated driving. He joined THI in 2018 and previously held roles at TÜV SÜD Prague (2008–2018) as Vice President for Safety and Security in Automotive, and as a researcher at Czech Technical University (2005–2008) and DLR Oberpfaffenhofen (2000–2005). His research focuses on enhancing vehicle safety through advanced simulation, sensor integration, and machine learning applications. Education: Ph.D. in Mechanics of Solids, Deformable Bodies and Continua from Czech Technical University in Prague (2001), and a degree in Technical Cybernetics from the Faculty of Electrical Engineering at the same university (1991). His work bridges theoretical research and practical implementation, addressing challenges in automated driving systems, crash simulation, and human body diversity in safety design. Research interests include passive safety systems, autonomous vehicle dynamics, and infrastructure integration for safety enhancements. Recent publications emphasize collaborative smart infrastructure, sensor fusion for free space detection, and machine learning in crash detection. He actively contributes to FISITA, serving as a Council Delegate and member of technical committees. Awards/memberships: Active in FISITA, holding leadership roles in technical committees. No explicit awards listed, though his contributions to automotive safety standards are notable. Grants and advising: While no specific grants or students are detailed, his extensive industry and academic collaborations (e.g., IN2Lab testing field projects) highlight his role in applied research and development.

Zhen Xieمشاهده پروفایل

استادیار

• High-Performance Computing (HPC)
• Machine Learning
• Parallel Computing
• +۳ مورد دیگر

Zhen Xie is an Assistant Professor in the Department of Computer Science at Binghamton University (SUNY), serving as Director of the Parallel Computing and Intelligent System (PCIS) Lab. He holds a PhD from the Chinese Academy of Sciences and a BA from Wuhan University of Technology. His research focuses on high-performance computing (HPC), machine learning, and their intersections, particularly optimizing performance for HPC and AI/DL applications across heterogeneous architectures. Research Highlights: Dr. Xie’s work emphasizes system-level performance optimization for ML and HPC, including GPU acceleration, memory optimization, and AI accelerator selection. His team has won the ACM Gordon Bell Special Prize (2022) for their GenSLMs project predicting SARS-CoV-2 evolution. Recent grants include a 2024 gift from OpenAI for AI testbed initiatives. Awards: ACM Gordon Bell Special Prize (2022), Impact Argonne Awards (2023) Lab: PCIS Lab explores middleware for parallel computing, targeting scientific simulations and big data analytics. Collaborations include Argonne National Lab and Lawrence Berkeley National Lab. Teaching: Teaches Distributed Systems (CS 457/557) and oversees independent studies. Previously trained researchers at Argonne’s ATPESC program. Grants & Collaborations: Subcontract with Lawrence Berkeley Lab (HEVI-LOAD), Argonne testbed expeditions, and OpenAI-funded projects. Active in DOE labs like Summit and Aurora supercomputers.

• Wireless Communications
• MIMO Systems
• Neuromorphic Computing
• +۴ مورد دیگر

Dr. Juan Carlos De Luna Ducoing is a Research Fellow at the University of Surrey, specializing in advanced wireless communication systems with a focus on MIMO (Multiple-Input Multiple-Output) technologies. His work integrates neuromorphic computing, quantum annealing, and non-linear processing to enhance the efficiency and scalability of next-generation wireless networks. Research Interests: MU-MIMO detection and precoding Neuromorphic computing applications Quantum computing in wireless systems 6G network architectures Non-linear signal processing Hardware-software co-design (e.g., SWORD platform) Key Publications: His recent work includes NeuroMIMO (2024), which explores neuromorphic principles for power-efficient MU-MIMO detection, and Scalable MU-MIMO User Scheduling (2023), addressing resource allocation in dense networks. He also contributed to quantum annealing-based detection (2022) and Gyre Precoding (2021), achieving significant SNR gains. Collaborations: Works closely with Konstantinos Nikitopoulos and the SWORD research team to develop open-source platforms for rapid prototyping of advanced communication systems.

• Microwave Engineering
• RF Systems Design
• Power Amplifier Design
• +۷ مورد دیگر

Christian Fager is a Full Professor at the Department of Microwave Electronics, Chalmers University of Technology, Sweden. He has been affiliated with Chalmers since completing his Ph.D. there in 2003. As Head of the Microwave Electronics Laboratory, his research focuses on nonlinear transistor modeling, energy-efficient power amplifier architectures, and distributed MIMO systems. He has co-invented 8 patents and published over 250 papers, including a seminal book on Nonlinear Transistor Model Parameter Extraction Techniques (Cambridge University Press, 2011). Dr. Fager holds editorial roles as Associate Editor of IEEE Microwave Magazine and member of the MTT-S Technical Coordination Committee on Wireless Communications. He is a Board Member of the European Microwave Association (EuMA) and has chaired multiple IEEE topical conferences. His awards include the Chalmers Supervisor of the Year (2018), inaugural Area of Advance Award (2010), and IEEE IMS Best Student Paper (2002). He leads research initiatives in distributed antenna systems, digital pre-distortion, and GaN/SiGe-based high-efficiency amplifiers, with projects involving testbed development for 5G/6G applications. His work bridges theoretical modeling and practical implementation in RF/microwave systems, emphasizing thermal and multi-physical simulation integration.

• Generative Programming
• Model-Based Development
• Software System Families
• +۷ مورد دیگر

Krzysztof Czarnecki is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computer Science. He serves as leader of the Waterloo Intelligent Systems Engineering Lab and holds the title of University Research Chair. His research focuses on generative software development, model-driven engineering, and autonomous systems, particularly in automotive cybersecurity and perception safety. Education: Doctorate in Computer Science, Technical University of Ilmenau (1999) Master of Science in Computer Science, Technical University of Ilmenau (1995) Bachelor of Science in Computer Science, California State University (1994) Research Interests: Dr. Czarnecki's work spans generative programming, software product lines, and safety-critical AI for autonomous vehicles. Recent projects address robust perception systems, uncertainty quantification in neural networks, and strategic driving behavior modeling. He co-authored Generative Programming (Addison-Wesley, 2000), a foundational text in the field. Publications Trends: Recent work emphasizes multimodal AI integration (e.g., LEO-MINI), 3D object detection improvements (OV-SCAN), and safety assurance frameworks for autonomous systems. His research bridges theoretical software engineering with applied robotics challenges. Awards: Premier’s Research Excellence Award (2004) British Computing Society’s Upper Canada Award (2008) University Research Chair, University of Waterloo (2023) Teaching & Leadership: Teaches courses like ECE 495 (Autonomous Vehicles) and ECE 651 (Software Engineering Foundations). Oversees WatCAR initiatives and collaborates on industry projects through the NSERC Bank of Nova Scotia Industrial Research Chair (previous). Labs & Teams: Directs the Waterloo Intelligent Systems Engineering Lab, focusing on AI-driven solutions for autonomous systems and safety-critical software. Active in cross-disciplinary collaborations with automotive and robotics partners.

Alison Rodgerمشاهده پروفایل

استاد

• Biophysical Chemistry
• Physical Chemistry
• Analytical Science
• +۳ مورد دیگر

Prof Alison Rodger is a Professor in the Research School of Chemistry at The Australian National University, where she leads research in biophysical spectroscopy. Formerly at Macquarie University (2017–2024) and the University of Warwick (1990s–2017), she specializes in developing advanced spectroscopic techniques for biomacromolecule analysis. Her work integrates circular dichroism, linear dichroism, and Raman methods to study nucleic acids, proteins, and membrane systems. She co-directs the ARC-funded Industrial Transformation Training Centre in Facilitated Advancement of Australia’s Bioactives (FAAB) and runs an open-access biophysical spectroscopy lab. Key awards include Fellowships from the Australian Academy of Science (2021) and Royal Society of Chemistry (2000), and recognition in the Analytical Science Power List (2015). Education: BSc, PhD, DSc (Sydney University) MA (Oxford) DSc (Warwick) BA (Chester) Research Interests: Development of polarized-light spectroscopies for biomacromolecule analysis, including electronic/circular dichroism, Raman spectroscopy, and hybrid techniques. Applications span protein-DNA interactions, membrane biophysics, and biopharmaceutical characterization. She invented five spectroscopic techniques, including micro-volume Couette flow linear dichroism and fluorescence-detected linear dichroism. Awards & Roles: Fellow of the Australian Academy of Science Fellow of the Royal Society of Chemistry Emeritus Professor (University of Warwick) Recipient of Science Teachers of NSW Dedicated Service Award Consultant to European Science Foundation CASPER project Advising & Grants: Supervises PhD students in interdisciplinary biophysical chemistry. Led the EPSRC-funded Molecular Organisation and Assembly in Cells DTC at Warwick. Currently co-directs the ARC FAAB Centre, focusing on bioactive product characterization. Labs & Collaborations: Operates an open-access biophysical spectroscopy lab supporting academic and commercial users. Collaborations span mathematics, medicine, and engineering, with projects on DNA knotting, antimicrobial peptides, and nanomaterials for biosensing.

Thomas Roemerمشاهده پروفایل

مدرس ارشد

• Operations Management
• Supply Chain Strategy
• Product Development
• +۴ مورد دیگر

Thomas Roemer is a Senior Lecturer in Operations Management at MIT Sloan School of Management and Executive Director of the Leaders for Global Operations (LGO) Program since 2014. His research focuses on the intersection of engineering and management, particularly in product development, inventory theory, and supply chain optimization. He previously held positions at UC San Diego Rady School of Management (2006–2014), where he co-founded the Architecture-based Enterprise Systems Engineering (AESE) Program and earned multiple teaching awards. Roemer holds a Diplom-Ingenieur from Technische Universität Berlin and a PhD from UCLA Anderson School of Management. His work bridges academic theory with practical applications in global operations, with notable contributions to inventory models, scheduling algorithms, and dispersed product development methodologies. Recent LGO partnerships with Blue Origin and NextEra Energy reflect his industry engagement. He teaches executive education courses on supply chain strategy and operations management, emphasizing MIT’s ‘technology clockspeed’ framework for optimizing global networks. Key awards include the Robert N. Noyce Assistant Professor title (MIT, 2000–2006) and UCSD’s ‘Outstanding Faculty Teaching’ award (2009).

Armando Foxمشاهده پروفایل

استاد

• Software as a Service
• Cloud Computing
• Parallel Programming
• +۳ مورد دیگر

Armando Fox is a Professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley, where he co-leads the ASPIRE Lab and directs the Berkeley MOOCLab. His work focuses on integrating online learning research into educational frameworks. He holds a PhD, MS and BS from Berkeley, Illinois, and MIT respectively. Fox's research spans applied statistical machine learning, Software as a Service (SaaS), cloud computing, parallel programming, and innovative online education methods. He pioneered Berkeley's first MOOC on software engineering and co-authored the textbook Engineering Software as a Service . His recent publications demonstrate strong focus on: AI-enhanced education tools and assessment systems Cloud-based learning management architectures Generative AI for collaborative programming education Automated testing frameworks for computer science Significant awards include: NSF CAREER Award ACM Distinguished Member Scientific American 50 top researcher recognition Fox previously contributed to Intel Pentium Pro microprocessor design and founded a mobile computing company based on his dissertation research.

Lawrence Sassمشاهده پروفایل

استاد

• Digital Fabrication
• Low-Cost Housing
• Construction Automation
• +۳ مورد دیگر

Lawrence Sass is a Professor and Chair of the Computation Group in the Department of Architecture at MIT's School of Architecture + Planning. His research focuses on design innovation using digital fabrication, particularly in low-cost housing and construction automation. He pioneered methods to reduce home construction steps through computational tools, including the concept of Snap Assembly building systems showcased at MoMA in 2008. His work has inspired startups in digitally fabricated housing. B.Arch from Pratt Institute (1990) Master’s (1994) and PhD (2000) from MIT Research interests include sustainable construction techniques, 3D printing in architecture, and material optimization. He co-founded LuBan3D, a software system enabling large-scale 3D modeling with affordable tools. Current projects explore AI and robotic systems for home production. Awards include the prestigious MacVicar Faculty Fellow recognition. His teaching includes courses like Design Computation (4.500) and Tiny Fab (4.501), emphasizing computational methods in architectural design. Collaborations include work with Singapore-based researcher Prof. Lujie Chen on large-scale fabrication software. His lab focuses on integrating digital tools into physical production workflows, aiming to democratize construction through accessible fabrication technologies.

• AI & Innovation
• Digital Transformation
• Fintech
• +۵ مورد دیگر

David Shrier is a Professor at Imperial College Business School, specializing in AI & Innovation. He co-directs the Trusted AI Alliance and serves as interim Academic Director of the Centre for Digital Transformation. His work bridges academia and industry, focusing on digital transformation, fintech, and ethical AI. He holds visiting roles at MIT School of Engineering and has pioneered educational innovations, including creating highly successful online courses that generated over $1 billion in academic revenue. Founder of Trusted AI Alliance and co-developer of the Trust::Data Initiative. Interim Academic Director, Imperial's Centre for Digital Transformation. Visiting Scholar at MIT School of Engineering, collaborating on commercialization models. His research interests include AI governance, fintech innovation, cybersecurity, and data privacy. He has advised governments and organizations globally, including the European Parliament and Commonwealth Secretariat. His books, such as Global Fintech (2022) and Basic AI (2024), explore technology's societal impact. He chairs startups like Orbu.AI and serves on NASDAQ-listed GRIID's board. Recipient of the 2022 Choice Award for Global Fintech . Launched initiatives such as the Oxford Cyber Security for Business Leaders program and the UN Data Academy.

Elke U. Weberمشاهده پروفایل

استاد

• Environmental Decision Making
• Behavioral Decision Theory
• Social Norms and Climate Action
• +۶ مورد دیگر

Elke U. Weber is the Gerhard R. Andlinger Professor in Energy and the Environment, Professor of Psychology and Public Affairs at Princeton University, and Associate Director for Education at the Andlinger Center for Energy and the Environment. She is affiliated with the Behavioral Science for Policy Lab (BSPL) at Princeton and has previously held leadership roles at Columbia University’s Center for Decision Sciences and Center for Research on Environmental Decisions. Professor, Psychology & Public Affairs, Princeton University Co-Director, BSPL Emeritus Co-Director, Columbia’s Center for Decision Sciences Dr. Weber’s research focuses on human decision-making in environmental contexts , particularly examining social norms , climate policy acceptance , and behavioral spillover effects . Her work integrates neuroeconomics , cognitive psychology , and social network modeling to address sustainability challenges. Recent publications highlight her contributions to climate adaptation strategies , energy transition policies , and behavioral interventions . She has served on advisory boards for the Intergovernmental Panel on Climate Change (IPCC) , World Economic Forum , and National Academies of Sciences . Lead Author, IPCC 5th & 6th Assessment Reports Chair, National Intelligence Council Associate Editorial Board, Psychological Review (2015-2020) Co-Director, Columbia’s Center for Decision Sciences (2000-2017) Her lab (BSPL) trains graduate students and postdocs in behavioral policy research , with members working on topics like energy justice , social norm correction , and extractive community transitions . She has received multiple fellowships and served as president of three professional organizations.