جست‌وجوی استاد و پژوهشگر

Kazem Cheshmiمشاهده پروفایل

استادیار

• High-performance computing
• Compilers
• Scientific computing
• +۳ مورد دیگر

Kazem Cheshmi is an Assistant Professor in the Department of Electrical and Computer Engineering at McMaster University. His research focuses on compiler optimization techniques for accelerating scientific computing and machine learning applications on parallel architectures. He leads the SwiftWare Lab and teaches courses such as High-Performance Programming (COMPENG 4SP4/ECE 6SP4) and Special Topics in Computation (ECE 718). Education: B.Eng. (Ferdowsi University of Mashhad), M.A.Sc. (University of Tehran), Ph.D. (University of Toronto). He has held research positions at Microsoft Research, Adobe Research, Concordia University, and Rutgers University. Research Interests: High-performance computing, compiler design, sparse matrix computations, and their applications in machine learning and scientific computing. His work emphasizes optimizing sparse codes for parallel architectures and developing efficient QP solvers like NASOQ. Key Contributions: Developed Sympiler (a domain-specific compiler for sparse matrix codes) and NASOQ (a scalable QP solver). His awards include the ACM-IEEE CS George Michael Memorial HPC Fellowship (2020) and recognition for contributions to compiler-driven sparse computation optimization. Teaching and Service: Organizes SONAD’25, serves on program committees for PPoPP, Supercomputing, and IPDPS. Supervises students in compiler design, parallel programming, and high-performance computing. Labs/Teams: Leads the SwiftWare Lab focusing on compiler optimization and high-performance systems. Collaborates on open-source projects like Sympiler and NASOQ.

Dong Chenمشاهده پروفایل

دانشیار

• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• Embedded AI
• +۵ مورد دیگر

Dong Chen is an Associate Professor in the Department of Computer Science at the Colorado School of Mines. His research focuses on building data-driven experimental systems in Cyber-Physical Systems (CPS), IoT, Embedded AI, and Embodied AI, with applications in smart devices, homes, cities, and renewable energy systems. He leads the Next Generation Cyber-Physical Systems Laboratory (CPSLab), emphasizing open-source systems and datasets. Dr. Chen holds PhDs in Electrical and Computer Engineering (2018, University of Massachusetts Amherst) and Computer Science (2014, Northeastern University). His work addresses security, privacy, sustainability, and efficiency in smart environments. Notable contributions include SolarFinder, SolarTrader, PrivacyGuard, and VoiceAttack, which tackle challenges in IoT privacy, energy trading, and adversarial attacks. He received the NSF CAREER Award (2023) and is a member of Sigma Xi, ACM, AAAI, and IEEE. His research spans system design, AI applications, and cross-cutting domains like solar energy modeling and edge computing. Current projects include AgileDART (edge stream processing) and SolarDetector (satellite-based PV array identification). Advising and collaborations: Dr. Chen seeks PhD and undergraduate students with strong CS/EE backgrounds. His lab focuses on CPS/IoT security, energy systems, and AI-driven solutions. He has published extensively on topics ranging from smart grid optimization to adversarial machine learning.

Gul N. Khanمشاهده پروفایل

استاد

• Embedded Systems
• Hardware/Software Co-design
• Network-on-Chip (NoC)
• +۷ مورد دیگر

Dr. Gul N. Khan is a Professor in the Department of Electrical, Computer and Biomedical Engineering at Toronto Metropolitan University (formerly Ryerson University). He has held academic positions at the University of Saskatchewan, Nanyang Technological University, RMIT University, and Quaid-i-Azam University. His career spans over three decades with a focus on embedded systems , network-on-chip (NoC) , and heterogeneous computing . Education: Ph.D. (Imperial College, 1989), M.Sc. (Syracuse University, 1982), B.Sc. (UET Lahore, 1979) Dr. Khan’s research interests include hardware-software co-design , CPU-GPU systems , fault-tolerant computing , and smart RFID systems . His work has led to over 125 refereed publications and three US patents. His recent publications highlight advancements in GPU auto-tuning , NoC synthesis , and digital time interpolators . Despite being listed in a Google Scholar block with unrelated public health topics, these appear to be errors, as his core expertise remains in computer engineering. Dr. Khan has supervised numerous graduate projects in embedded systems and SoC design . He served as Program Director for Computer Engineering from 2004–2015 and leads the Microsystems Research Lab at Toronto Metropolitan University.

Robert Beverlyمشاهده پروفایل

استاد

• Systems
• Networks
• Applied Cybersecurity

Robert Beverly is a Professor of Computer Science at the College of Sciences , San Diego State University . His research focuses on improving real-world network security, privacy, and resilience through large-scale measurement, traffic analysis, data mining, and protocol testing. He serves as the Director of the Cybersecurity Center of Excellence and is affiliated with the Department of Computer Science. Education: Ph.D. in EECS from Massachusetts Institute of Technology (2008) B.S. in Computer Engineering from Georgia Institute of Technology (1996) His expertise spans Systems , Networks , and Applied Cybersecurity , with recent publications analyzing router vendor diversity, IPv6 geolocation vulnerabilities, and internet topology discovery. Current research trends include network hygiene, source address validation, and infrastructure stability studies. He offers student opportunities in cybersecurity research and maintains a lab website for collaborative projects. Contact: rbeverly@sdsu.edu .

David H. Albonesiمشاهده پروفایل

استاد

• Computer Architecture
• Power-Efficient Systems
• Reconfigurable Architectures
• +۵ مورد دیگر

David H. Albonesi is a Professor in the Computer Systems Laboratory at Cornell University's School of Electrical and Computer Engineering. His research focuses on power-efficient computer architectures, including reconfigurable systems, accelerator design for deep learning, smart buildings, and silicon nanophotonics interconnects. He has held leadership roles in major conferences like ISCA and MICRO, and serves on editorial boards for IEEE Computer and IEEE Micro. Research interests span adaptive architectures for dynamic power management, sparse matrix/tensor accelerators, and energy-efficient smart building systems. His work bridges hardware-software co-design, emphasizing phase-aware resource allocation and energy minimization. Awards include the IEEE Fellow distinction, NSF CAREER Award, and multiple teaching accolades from Cornell. Over 30 years of industry-academic collaboration has led to innovations in GALS microarchitectures, clustered multi-threaded processors, and thermal-aware scheduling. Key contributions include the CuttleSys reconfigurable multicore framework, MatRaptor sparse matrix accelerator, and foundational work in silicon photonics for on-chip interconnects. Patents cover dynamic core power management and adaptive microprocessor designs.

Sanjay G. Raoمشاهده پروفایل

استاد

• Network Synthesis and Design
• Internet Video Distribution
• Computer Networking
• +۳ مورد دیگر

Sanjay G. Rao is a Professor in the School of Electrical and Computer Engineering at Purdue University, with a courtesy appointment in Computer Science. He joined Purdue in 2005 and has held positions as Assistant, Associate, and full Professor since then. His research focuses on network synthesis, verification, and Internet video distribution. He has been recognized with the NSF CAREER Award and ACM SIGMETRICS Test of Time Award for his foundational work on End System Multicast. Education: B.Tech in Computer Science and Engineering, Indian Institute of Technology, Madras (1997) M.S. and Ph.D. in Computer Science, Carnegie Mellon University (2000, 2004) Research Interests: His work spans network design and verification, Internet video distribution, and cloud computing. Recent projects include causal reasoning for video streaming, 360° video optimization, and resilient routing algorithms. He leads the Internet Systems Laboratory at Purdue, which develops systems for network performance guarantees and video delivery innovations. Articles Trends: Recent work emphasizes causal inference in video streaming (e.g., Veritas) and perceptual quality for next-generation video (e.g., Dragonfly). Longstanding focus on network synthesis: PCF (2020) and Robust Validation (2017) address resilient design under uncertainty. Early contributions like End System Multicast (2002) pioneered peer-to-peer video streaming. Awards: NSF CAREER Award (2010) ACM SIGMETRICS Test of Time Award (2011) ACM Distinguished Member (2021) Purdue Seed of Success Award (2017) Advising & Grants: Supervised 15+ PhD students, many now in academia and industry (e.g., Meta, Google, AT&T). Secured $4M+ in grants from NSF, industry (Google, Cisco, Amazon), and federal programs. Notable grants include NSF support for video optimization (2022-2025) and network synthesis (2023-2027). Labs & Teams: Internet Systems Laboratory (ISL): Focuses on scalable network solutions and video streaming. Collaborations with industry (e.g., Amazon Prime Video, Meta) on real-world deployment challenges.

Tiffany Calvertمشاهده پروفایل

دانشیار

• Digital Art
• Contemporary Painting
• Artificial Intelligence in Art
• +۳ مورد دیگر

Tiffany Calvert is an Associate Professor and Chair of the MFA in Visual Art program at Washington University in St. Louis’s Sam Fox School of Design & Visual Arts. Her work merges traditional painting techniques like fresco and oil with digital technologies such as AI-driven image generation (StyleGAN) and 3D modeling. She explores themes of algorithmic aesthetics, historical art recontextualization, and the intersection of art and capitalism. Education: MFA in Visual Art, Mason Gross School of the Arts, Rutgers University (2005) BA in Studio Art, Oberlin College (1998) Research Interests: Calvert investigates how artificial intelligence and data manipulation reshape painting’s legacy. Her Machine Vision series employs machine learning trained on historical still lifes, creating hybrid works that critique economic speculation (e.g., tulip mania) and digital reproduction’s impact on artistic value. Her practice bridges gendered art histories and contested boundaries between human and algorithmic creativity. Awards & Grants: Great Meadows Foundation Professional Development Grant (2024) University of Louisville Inaugural Creative Works Award (2023) Pollock-Krasner Foundation Grant (2010) Geraldine R. Dodge Fellowship (2010) Advising & Labs: As MFA Director, she oversees WashU’s graduate visual art program. Her studio practice incorporates advanced digital fabrication tools and interdisciplinary collaborations. Upcoming projects include a 2024 solo exhibition at KMAC Museum exploring AI-driven “adversarial nature” themes. Exhibition Highlights: Recent shows include Living Arrangements (Kathryn Markel Fine Arts, 2023) and Adversarial Nature (Tinney Contemporary, 2023). Her work has been featured in Hyperallergic, Evergreen Review, and Majuscule magazine.

Vindya Wijeratneمشاهده پروفایل

مدرس ارشد

• Networking
• Telecommunications
• Computer Networks
• +۷ مورد دیگر

Dr. Vindya Wijeratne is a Senior Lecturer at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science. He is based at the Mile End Campus in London, with office hours on Wednesdays from 10:30 to 12:30. His research focuses on improving Quality of Experience (QoE) in LTE networks, addressing bufferbloat issues, evaluating IP network performance, and advancing green networking initiatives to reduce energy consumption while maintaining QoS. He collaborates with Juniper Networks on virtual testbeds using their Junosphere platform to enhance networking research and teaching at the university. Teaching responsibilities include the compulsory undergraduate module Communications and Networks , covering ISO/OSI models, network protocols (TCP/IP, CSMA/CD), and mobile networks. He also teaches Introductory Java Programming as part of the BUPT joint program. His work integrates practical industry tools like Juniper’s virtual router SDK to bridge academic research and real-world applications. Dr. Wijeratne’s research spans non-FIFO scheduling, differentiated services in networks, and energy-efficient core/access network design. He maintains an active website at http://www.eecs.qmul.ac.uk/~vindyaa/ and can be contacted via email or telephone: +44 20 7882 3713.

Renuka Mohanrajمشاهده پروفایل

استادیار

• Mobile Ad Hoc Networks
• Design and Analysis of Algorithms
• Software Engineering
• +۲ مورد دیگر

Renuka Mohanraj is an Assistant Professor of Computer Science specializing in Mobile Ad Hoc Networks (MANET), with research interests in Design and Analysis of Algorithms, Software Engineering, Web Technology, and Wireless Application Protocol. She holds a PhD from Mother Teresa University and has contributed significantly to network security and optimization through her publications and a book. Education includes: BSc, Madras University MCA, Bharathidasan University MPhil, Periyar University PhD, Mother Teresa University Her research focuses on enhancing security and efficiency in MANET through innovative routing protocols and collision control mechanisms. Recent work extends to IoT and healthcare applications, addressing challenges like secure data transmission and energy efficiency. Earlier contributions centered on MANET’s reliability and multi-path data integrity. No scientific awards or grants are listed. No advisees or lab affiliations are mentioned in the provided information.

Andrea Dettiمشاهده پروفایل

استاد

• Computer Networks
• Information-Centric Networking (ICN)
• Cloud Computing
• +۳ مورد دیگر

Andrea Detti is a Professor at the Department of Electronic Engineering, University of Rome Tor Vergata. His research focuses on computer networks, particularly Information-Centric Networking (ICN), Cloud Computing, and Software Defined Networks (SDN). He has coordinated major EU projects like Fed4IoT and BONVOYAGE, addressing IoT and Intelligent Transport Systems. He serves as Associate Editor for IEEE Transaction on Network and Service Management and has guest-edited special issues on ICN. His teaching includes courses on Internet Technologies, Mobile Wireless Networks, and Cloud Computing, emphasizing hands-on labs with Linux, Cisco routers, and OpenStack. Key projects include leadership roles in EU initiatives such as ICN2020, GreenICN (energy-efficient ICN), and OFELIA (ICN over SDN). He coordinates industrial projects with Telecom Italia and SSI/Finmeccanica on publish-subscribe paradigms in MANET and DTN. His research spans ICN scalability, adaptive video streaming, and satellite communication optimizations. Publications (80+) cover ICN architecture, SDN integration, and network performance modeling. He actively participates in conferences and standardization efforts, contributing to the evolution of future Internet architectures.

Robbert van Renesseمشاهده پروفایل

استاد

• Distributed Systems
• Fault Tolerance
• Scalability
• +۷ مورد دیگر

Robbert van Renesse is a Professor in the Department of Computer Science at Cornell University, Ithaca, NY. He is a member of the Systems and Networking group. His research focuses on distributed systems, particularly fault tolerance and scalability. He co-authored Chain Replication and contributed to projects like Harmony (a model checker for concurrent systems) and EGOS (a minimalist operating system). He has held roles such as Chair of ACM SIGOPS and Editor-in-Chief for ACM Transactions on Computing Systems. His work spans academic contributions, industry collaborations (e.g., Exotanium, Inc.), and over 30 conference/workshop papers annually since the 1990s. Education: M.Sc. (1985) and Ph.D. (1989) in Mathematics/Computer Science from Vrije Universiteit Amsterdam under Andrew Tanenbaum. Professional experience includes roles at AT&T Bell Labs, Cornell since 1991, and co-founding companies like Reliable Network Solutions and D.A.G. Labs. Research interests include blockchain technology (e.g., Bitcoin-NG for scalability), consensus protocols (BFT and Turtle consensus), and system frameworks like Ovid and Escher. His publications emphasize distributed algorithms, replication, and security. He advises over 30 Ph.D. students and co-founded Exotanium, Inc. in 2018. Notable contributions: Chain Replication (OSDI 2004), Horus toolkit (commercialized as Sphinx), and foundational work in Amoeba OS. His recent work explores metastable failures and programmable memory segments.

• Cybersecurity
• Data Security
• Reinforcement Learning
• +۴ مورد دیگر

Akram Y. Sarhan is a prolific researcher with a focus on cybersecurity , data security , and algorithm design for communication and logistics systems. He has published extensively in PeerJ Comput. Sci. and IEEE Access , addressing challenges in privacy-preserving protocols , blockchain applications , and secure data dissemination under constraints. Key research areas include reinforcement learning , network security , and decentralized systems . His work spans crisis response data management , drone logistics optimization , and blockchain-based identity solutions . Notable trends in his publications involve secure communication protocols for RIS-enabled systems, agent-based health passport frameworks , and heuristic scheduling algorithms for warehouses and networks.

Jae Woo Leeمشاهده پروفایل

مدرس ارشد

• Computer Science
• Networking
• Systems Programming
• +۵ مورد دیگر

Jae Woo Lee is a Senior Lecturer in the Department of Computer Science at Columbia University , where he has been since 2008. He serves as Director of Undergraduate Studies for BA Programs and Associate Chair for Undergraduate Education. His research focuses on network architecture, programmable routers, and computer science education. Education: B.A. in Physics from Columbia College (1994) Ph.D. in Computer Science from Columbia University (2012) Research interests include: NetServ : A programmable router architecture for deploying in-network services on edge routers using Java and OSGi. Demonstrated at GEC9. Content-Centric Networking : Projects like CCNxServ for dynamic service scalability and GRAND for named data version control. DHT and Multicast : Work on large-scale DHT bootstrapping and churn-immune architectures. Location-Based Services : Indoor localization for emergency services and population density-driven map simplification. Publications reflect expertise in networking (Cloud Computing, NetServ, Content-Centric Networking), distributed systems (DHT, Peer-to-Peer), and CS education. Articles span 2007–2015, with recent work on container-based cloud networking and future internet architectures. Teaching awards include: SEAS Alumni Association Distinguished Faculty Teaching Award (2016) Columbia University Presidential Teaching Award (2011) Andrew P. Kosoresow Memorial Award (2009) Gold Nugget in CULPA (2011) Featured in Bwog's Best Classes Ever (2012) Teaching emphasizes hands-on learning. Courses include Advanced Systems Programming, C++ for C Programmers, Operating Systems, and Essential Data Structures. Redesigned COMS W3157 to focus on project-based learning with a capstone web server project.

Nurefşan Sertbaş Bülbülمشاهده پروفایل

پژوهشگر

• Time Sensitive Networks (TSN)
• Software Defined Networking (SDN)
• Network Security
• +۳ مورد دیگر

Dr. Nurefşan Sertbaş Bülbül is a Research Associate/Postdoc at the University of Hamburg's Department of Informatics, part of the Faculty of Mathematics, Informatics and Natural Sciences. She completed her PhD at the University of Hamburg in 2023 under Prof. Mathias Fischer, following two Bachelor's degrees (Electronics and Communication Engineering, Computer Engineering) from Istanbul Technical University and a Master's from Boğaziçi University. Her research focuses on programmable networks, TSN (Time Sensitive Networks), and network security. Key areas include SDN (Software Defined Networking), attack detection, and reinforcement learning applications in networking. Her work addresses critical challenges like DoS attack mitigation in TSN, dynamic path reconfiguration, and P4-based solutions for network security. She has contributed to publications at IEEE GLOBECOM, IFIP Networking, and other conferences. Her research emphasizes practical implementations and resilient network designs, particularly for mission-critical systems. She is part of the Computer Networks research group, previously known as the IT-Security and Security Management group. Dr. Bülbül's recent projects include developing TSN Gatekeeper mechanisms and Transparent TSN solutions for agnostic end-hosts, leveraging SDN and reinforcement learning. Her work bridges theoretical advancements and real-world network challenges, ensuring robust and adaptable network infrastructures.

• Operating Systems
• Fault Tolerance
• Cyber-Physical Systems
• +۵ مورد دیگر

Marcus Völp is an Associate Professor and head of the CritiX research group at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT). His research focuses on ultra-reliable operating systems, fault and intrusion tolerant systems for cyber-physical environments, and hierarchical hybridization techniques to construct resilient computing platforms. His work bridges theoretical foundations with practical implementations, particularly in developing dependable systems-on-chip that can withstand faults and intrusions. Research spans formal verification methods, radiation-hardened hardware, blockchain security, and autonomous vehicle safety systems. Recent publications demonstrate advancement in parameterized system verification, radiation effects on routers, and N-version machine learning for autonomous systems. His group maintains strong focus on practical resilience mechanisms for real-time and critical systems across computing layers.