جست‌وجوی استاد و پژوهشگر

Anh Vu Doanمشاهده پروفایل

مدرس

• Embedded Systems Design
• Combinatorial Optimization
• Problem Modeling
• +۳ مورد دیگر

Dr. Ir. Anh Vu Doan is a Lecturer at the Technical University of Munich (TUM) under the Chair of Integrated Systems and a Senior Project Leader at Infineon in Neubiberg, Germany. With a Belgian-Vietnamese background and prior residence in Japan, he has held academic roles including postdoctoral fellowships at Keio University and TUM, as well as teaching assistant and stand-in lecturer positions at Université libre de Bruxelles (ULB) and IÉSEG School of Management. Research Interests: Embedded systems design Combinatorial optimization Problem modeling and decision aiding Approximate computing and 3D-stacking memory Machine learning reliability and safety Network-on-Chip (NoC) optimization Recent Publications focus on neuromorphic systems, power optimization for multicore processors, adversarial attacks in ML, and multi-objective design strategies using genetic algorithms. His work bridges hardware-software co-design and sustainable mobility decision frameworks. Scientific Awards: Erasmus-Mundus Grant (EASED program) JST/CREST Research Program Education: MSc in Electrical Engineering (ULB, 2009) PhD in Engineering Sciences (ULB, 2015)

• Database Systems
• Data Privacy
• Big Data Analytics
• +۳ مورد دیگر

Prof. Johann-Christoph Freytag is a faculty member at the Institute of Computer Science within Humboldt University of Berlin's Faculty of Mathematics and Natural Sciences. His academic profile demonstrates a unique interdisciplinary approach bridging core computer science with environmental research, particularly focused on Arctic systems and climate change analysis. His research spans multiple domains: Advanced database systems and query optimization techniques Data privacy frameworks for cooperative systems and safety applications Big data analytics for environmental monitoring Graph theory applications in landscape analysis Age-depth modeling for paleoenvironmental studies Computer vision approaches to permafrost monitoring Analysis of Prof. Freytag's recent publications reveals a strategic research trajectory that increasingly integrates computational methods with environmental science. His work shows consistent contributions to database theory while expanding into climate-related applications, particularly through projects involving Arctic lake systems, permafrost dynamics, and tundra landscapes. This interdisciplinary approach demonstrates how database technologies can address complex environmental challenges. Prof. Freytag has been actively involved in the German database research community, including participation in organizing the BTW (Database Systems for Business, Technology and Web) conference series, which represents a significant contribution to academic community building in his field.

Mark C. Jeffreyمشاهده پروفایل

استادیار

• Computer Architecture
• Parallel Computing
• Computer Systems
• +۳ مورد دیگر

Mark C. Jeffrey is an Assistant Professor in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto, cross-appointed to the Department of Computer Science. His research focuses on computer architecture and systems, aiming to simplify parallel programming for software engineers through novel compilers and large-scale multicore architectures. Previously, he was a Research Scientist at Facebook AI Research and earned his PhD from MIT under Daniel Sanchez. He holds a MASc and BASc from the University of Toronto. Education: PhD in Computer Science, MIT (2019) MASc in Computer Engineering, University of Toronto (2011) BASc in Engineering Science, University of Toronto (2009) Research interests include parallel computing, compilers, multicore architectures, and energy-efficient systems. His work bridges hardware-software co-design to enable scalable parallelism in modern systems. Notable awards include the George M. Sprowls PhD Thesis Award (2nd place, 2019), Best Paper at NoCArc 2023, and a Best Paper Award at ARC 2010. He teaches advanced courses in computer architecture and parallel programming (ECE1755, ECE552). His GitHub repository bf-intersect explores Bloom filter configurations for address-set disambiguation, tied to his SPAA 2011 and MASc thesis work.

• Computer Architecture
• Multi-core Systems
• Fault-Tolerant Computing
• +۴ مورد دیگر

Dr. Işıl Öz is an Assistant Professor in the Computer Engineering Department at Izmir Institute of Technology (IZTECH). She holds a B.Sc. and M.Sc. in Computer Engineering from Marmara University and a Ph.D. from Boğaziçi University. Before joining IZTECH in 2018, she worked as a postdoctoral researcher and ERCIM/Marie Curie Fellow at the Swedish Institute of Computer Science (SICS). Her research focuses on computer architecture, performance optimization, and reliability of multi-core systems, with a strong emphasis on fault-tolerant computing and GPGPU applications. Key projects include the TÜBİTAK-funded FTGPGPU initiative analyzing hardware fault tolerance for GPU applications. She teaches courses such as Operating Systems, Advanced Computer Architecture, and Parallel Programming Patterns. Her work spans machine learning-based vulnerability prediction, compiler design for reliable execution, and approximation techniques for efficient parallel computing. Publications appear in venues like ACM Computing Surveys, The Journal of Supercomputing, and International Journal of Parallel Programming. Awards: ERCIM/Marie Curie Fellowship Labs/Teams: Parsiyte Research Group (focused on parallel and distributed systems) Grants: TÜBİTAK ARDEB 3501 (FTGPGPU project)

Serap Şahinمشاهده پروفایل

استادیار

• Cybersecurity
• Information Systems Security
• Cryptology
• +۵ مورد دیگر

Serap Şahin is an Assistant Professor in the Computer Engineering Department at Izmir Institute of Technology. She holds a B.S. (1987), M.Sc. (1989), and Ph.D. (2006) in Computer Engineering from Ege University. Her academic career began in 2002 after working at Arkas Holding as an Information Systems Coordinator, where she managed transportation and logistics systems. She completed a postdoctoral fellowship at the European Commission’s Joint Research Center (2010) focusing on Next Generation Network Security, supported by TUBITAK. Her research interests span cybersecurity, information systems security, cryptology, and cloud computing security. Notable contributions include studies on social network privacy, blockchain applications, forensic data analysis, and homomorphic encryption systems like EDU-VOTING. She has published widely in journals such as the International Journal of Information Security Science and Turkish Journal of Electrical Engineering and Computer Sciences. Key achievements include a TUBITAK Postdoctoral Fellowship (2010) and leadership in projects like “Homomorphic Cryptosystem Based Electronic Election System Solution” funded by BAP. Her work bridges theoretical cryptography with practical applications in secure communication, data privacy, and network security.

• High-Performance Computing (HPC)
• Grid Computing
• Parallel Programming
• +۴ مورد دیگر

Professor Mark Baker is a faculty member at the University of Reading's Department of Computer Science, specializing in High-Performance Computing (HPC), Grid Computing, and Distributed Systems. His research focuses on optimizing parallel and distributed applications, virtualization technologies, and semantic web frameworks. He has contributed to projects like the VERA information environment for archaeological informatics and the MPJ Express messaging library for Java HPC. Research interests include para-virtualization performance analysis, cloud computing resource utilization, and scalable grid information services. He has published extensively on topics such as parallel programming models, distributed system architectures, and benchmarking methodologies. His work integrates semantic web technologies for profiling systems and enhancing collaborative environments in e-Science. Key contributions include the development of wide-area messaging frameworks (e.g., Tycho), cluster computing fundamentals, and grid portal technology. He has collaborated on projects involving supercomputing infrastructure (e.g., Thamesblue supercomputer) and cloud-based HPC applications. His research emphasizes practical applications of virtualization and distributed computing in academic and industrial contexts.

Sadiq Jafferمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Climate Science
• Environmental Policy
• +۳ مورد دیگر

Dr. Sadiq Jaffer is a Bernstein Planetary Computing Fellow and Senior Research Associate at the University of Cambridge's Department of Computer Science and Technology, where he focuses on applying AI/ML to environmental challenges. He leads technology initiatives for the Cambridge Centre for Carbon Credits, developing methodologies for nature-based carbon projects. His research spans planetary computing, conservation AI, and programming language innovation (e.g., OCaml runtime development). Education: MEng in Computer Systems Engineering (University of Warwick) PhD in Autonomous Mobile Robotics (University of Warwick) Research Interests: AI-driven conservation strategies Climate change mitigation via digital tools OCaml compiler and runtime optimization Privacy-preserving carbon accounting systems Professional Roles: OCaml Core Developer (Garbage Collector maintenance) Former CEO of Opsian (Java performance monitoring) Key Projects: Multicore OCaml integration into the upstream compiler PACT methodology for tropical forest carbon accreditation LLM-driven evidence synthesis for conservation science

• Cyber/Physical Security
• Information Technology
• Web-Based Education Technology
• +۵ مورد دیگر

John Williams is a Professor at the Massachusetts Institute of Technology (MIT) in the Resilient Systems & Mobility department. He holds a BA in Physics from Oxford University (1971), an M.S. in Physics from the University of California, Los Angeles (1973), and a Ph.D. in Numerical Methods from Swansea University (1977). His research focuses on Cyber/Physical Security, Information Technology, Web-Based Education Technology, Large-Scale Network Simulation, GeoNumerics of Granular Systems, and Computational Fluid Dynamics. He has contributed to pioneering work on high-performance computing resilience, particle-based numerical methods, and smart grid security. Notably, he received the Best Overall Paper and Best Paper awards at the SpringSim 2011 conference for his work on parallel computation and reservoir characterization. His research integrates computational methods with real-world applications in energy systems, porous media, and cyber-physical systems. Dr. Williams’ academic contributions span over four decades, with a strong emphasis on interdisciplinary collaboration. His lab (geospatial.mit.edu) explores geospatial visualization and big data analytics in cyber-physical systems. He has advised on projects involving container migration in HPC, lattice Boltzmann simulations, and smart grid security protocols. His work bridges theoretical numerical methods with practical engineering challenges, such as optimizing oil reservoir simulations and improving cybersecurity for critical infrastructure. Education: BA Physics (Oxford, 1971), M.S. Physics (UCLA, 1973), Ph.D. Numerical Methods (Swansea, 1977) Affiliations: MIT Resilient Systems & Mobility, Geospatial Lab Awards: Best Paper (SpringSim 2011), Best Overall Paper (SpringSim 2011)

• Compiler Optimization
• Static Program Analysis
• Datalog Systems
• +۵ مورد دیگر

Professor Bernhard Scholz is a faculty member in the School of Computer Science at the University of Sydney . He specializes in compiler optimization, static program analysis, Datalog systems, blockchain technology, and parallel processing. His research focuses on improving compiler efficiency, analyzing complex programs, and developing tools for smart contract security. He holds a professorial position and has been involved in significant projects like the Fantom blockchain partnership, which funds specialized blockchain research. His work includes developing the Soufflé Datalog compiler and tools like MadMax for smart contract analysis. Research interests span compiler design, formal verification, distributed systems, and energy-efficient computing. His recent work emphasizes blockchain security, Datalog scalability, and parallel execution optimization. Notable contributions include EVMTracer for Ethereum analysis and Julia Cloud Matrix Machine for cloud-based matrix computations. Key grants include ARC Discovery Projects on heterogeneous systems and smart contracts. Awards include industry partnerships and sustained research funding. He advises on large-scale program analysis and has collaborated globally with institutions like ETH Zurich and Fantom Foundation. Labs and collaborations include the University of Sydney's Blockchain Lab and Fantom-funded projects. His work bridges theoretical compiler research with practical applications in security and distributed systems.

Jason Marsمشاهده پروفایل

استاد

• Computer Architecture
• Warehouse-Scale Computing
• Machine Learning Systems
• +۳ مورد دیگر

Jason Mars is a Professor at the University of Michigan's Department of Electrical Engineering and Computer Science, leading the Clarity-Lab. His research focuses on cross-layer architectures and runtimes for future computing systems, particularly in warehouse-scale computers. He has pioneered projects like Sirius (an open voice/vision personal assistant), Protean Code (dynamic code transformations), and Adrenaline (tail latency management). His work addresses challenges in energy efficiency, resource allocation, and performance optimization in large-scale systems. Key contributions include architectural designs for AI services, thermal management strategies, and compiler techniques for approximate computing. Mars collaborates with industry leaders like IBM and has advised numerous students who have published at top conferences such as ASPLOS and HPCA. Recent research spans AI ethics, scalable programming models (e.g., Data Spatial Programming), and edge-cloud collaboration frameworks like Neurosurgeon. He has delivered invited talks at Baidu, IBM Watson, and conferences worldwide, emphasizing the societal impact of computing systems.

Sourav Duttaمشاهده پروفایل

دانشیار

• High-performance Computing
• Hardware/Software Co-design
• Machine Learning
• +۳ مورد دیگر

Sourav Dutta is an Associate Professor in the Department of Computer Science at Ramapo College of New Jersey, part of the School of Theoretical and Applied Science (TAS). He joined the institution in 2017. His research focuses on high-performance computing, hardware/software co-design, and machine learning. Dutta holds a PhD in Computer Engineering from Southern Illinois University Carbondale. His educational background includes advanced studies in computer engineering, with a specialization in parallel computing systems. His work bridges theoretical computer science with practical applications in distributed systems, resource optimization, and intelligent algorithms. Key research areas include multithreaded systems performance analysis, collaborative recommendation systems, and bioinformatics applications using big data techniques. His publications span venues like IEEE Transactions on Parallel and Distributed Systems, IEEE Big Data, and ACM Transactions on Parallel Computing. Dutta teaches courses such as Computer Science I and II, Data Structures and Algorithms, Operating Systems, and Big Data Computing. His contributions to the field include innovations in concurrent system design, IoT resource allocation, and energy-efficient computing architectures.

Per Stenströmمشاهده پروفایل

استاد

• Electrical and Computer Engineering
• Computer Architecture
• Parallel Computing
• +۳ مورد دیگر

Per Stenström is a Professor of Computer Engineering at Chalmers University of Technology since 1995. He has held leadership roles as CTO of Nema Labs since 2007, Deputy Dean of IT University in Gothenburg (2003–2006), and Vice-dean of the School of Computer Science and Engineering (2002–2003). His academic career spans prestigious institutions including Stanford University, Carnegie Mellon University, and Lund University. He is a Fellow of IEEE and ACM, as well as a member of the Swedish Royal Academy of Engineering Science. Research Interests His research focuses on Electrical and Computer Engineering, particularly in Computer Architecture, Parallel Computing, Distributed Systems, and Network-on-Chip technologies. His work addresses both theoretical and applied challenges in scalable computer systems design and multicore processor development. Scientific Awards and Honors Fellow, IEEE Fellow, ACM Member, Swedish Royal Academy of Engineering Science

José R. Herreroمشاهده پروفایل

دانشیار

• High Performance Computing
• Parallel Computing
• Dense Linear Algebra Algorithms
• +۳ مورد دیگر

José R. Herrero is an Associate Professor in the Computer Architecture Department (DAC) at the Universitat Politècnica de Catalunya (UPC), affiliated with the Barcelona School of Informatics (FIB). His primary research area is High Performance Computing (HPC), focusing on parallel algorithms, dense linear algebra, and multicore processor optimization. He has held administrative roles including Vice-Dean for Academic Studies (2010–2013) and Vice-Dean for Institutional and International Relations (2013–2015) at FIB. Education: PhD in Computer Science from UPC (2006), Postgraduate in Training of University Professors (1997), and a Computer Science degree (1993). Teaching experience includes over 15 courses in Computer Architecture, Operating Systems, and Parallel Programming at both undergraduate and graduate levels. Research interests span HPC, parallel computing, and algorithm design. His work emphasizes optimizing matrix computations and linear algebra libraries for modern architectures. Notable contributions include advancements in sparse Cholesky factorization, task-parallel algorithms, and energy-efficient computing. Recognition includes UPC's Teaching Mention for Outstanding Quality (2009, 2014, 2019) and a Certificate of Merit for contributions to scientific computing workshops. He advises numerous PhD students and collaborates internationally, including visiting roles at GeorgiaTech and École Polytechnique de Montréal.

Rajeev Baruaمشاهده پروفایل

استاد

• Computer Science
• Cybersecurity
• Parallel Computing
• +۵ مورد دیگر

Rajeev Barua is a Professor of Electrical and Computer Engineering at the University of Maryland, College Park, affiliated with the Institute for Systems Research (ISR) and the Computer Science Department. He holds a Ph.D. from MIT in Electrical Engineering & Computer Science (2000) and a B.Tech. from the Indian Institute of Technology Delhi (1992). His research focuses on compilers, cybersecurity, and parallel computing, with notable contributions to binary rewriting, automatic parallelization, and memory management for embedded systems. He has secured $6.95M in research grants and holds five patents. Barua founded SecondWrite Inc., commercializing cybersecurity software based on his research. He has received awards such as the NSF CAREER Award (2002) and the UMD George Corcoran Teaching Excellence Award (2003). Affiliations: Electrical & Computer Engineering Department, ISR, Computer Science Department Education: Ph.D., MIT (2000); S.M., MIT (1994); B.Tech., IIT Delhi (1992) Research Themes: Binary Rewriting, Cybersecurity, Parallel Programming, Embedded Systems, Compiler Optimization Key Projects: SecondWrite Inc., Raw Architecture chip development (IBM), ICE programming model for parallel computing Grants & Patents: $6.95M in grants, $2.4M in startup funding, five issued patents Teaching: Courses include ENEE 446 (Compilers), ENEE 350H (Embedded Systems), and advanced graduate topics. His work on binary rewriting addresses security and performance optimization, while his parallel computing research advances declarative programming models like ICE. Recent publications emphasize malware detection and efficient multiprogramming on multicore systems. Awards: NSF CAREER Award (2002) UMD George Corcoran Teaching Excellence Award (2003) UMD Jimmy Lin Innovation Award (2014) President of India Gold Medal (1992) Finalist, Inventor of the Year (2005) Labs & Teams: Leads research groups in compiler optimization and cybersecurity at UMD, collaborating with industry partners like IBM and Tilera. SecondWrite’s cybersecurity software has commercial applications in malware mitigation.

• Operating systems
• Distributed systems
• Computer Science
• +۳ مورد دیگر

Professor Willy Zwaenepoel is a distinguished academic and Dean of the Faculty of Engineering at the University of Sydney. He holds Fellowships from ACM, IEEE, and ATSE. His research focuses on distributed systems, operating systems, and experimental computer science. Previously, he spent two decades at Rice University and nine years as Dean of EPFL's School of Computer and Communication Sciences before joining Sydney in 2018. Education: BS/MS, Ghent University (1979) MS/PhD, Stanford University (1980/1984) Research Interests: His work emphasizes distributed systems and operating systems, with contributions to key-value stores, transactional systems, and large-scale graph processing. Recent projects include optimizing geo-replicated systems and improving datacenter scheduling efficiency. Articles Trends: Recent publications address OS scheduling (Nest), distributed graph mining (Tesseract), and transactional systems' performance limits. He explores hardware-software co-design for multicore systems and energy-efficient data centers. Awards: Fellow of ACM (2021) Fellow of IEEE (2020) Fellow of ATSE (2019) Grants & Advising: Active grants include adaptive key-value store research (2021) and large-graph processing systems (2018). He advises PhD students and postdocs on distributed systems and storage challenges. Labs/Teams: Leads the Sydney systems research group focusing on scalable distributed systems and cloud infrastructure.