جستجوی استاد راهنمای دانشگاهی

Faquir Jainمشاهده پروفایل

استاد

• Microelectronics
• Optoelectronics
• Quantum Dots
• +۶ مورد دیگر

Faquir Jain is a Professor in the Department of Electrical and Computer Engineering at the University of Connecticut, affiliated with the School of Engineering. His research focuses on microelectronics, optoelectronics, quantum structures, and nanotechnology. He holds a Ph.D. from the University of Connecticut and has authored numerous technical publications. He actively participates in NSF review panels and serves on editorial/advisory boards for IEEE conferences and the Connecticut Microelectronics and Optoelectronics Consortium (CMOC). His research projects include micro-fuel cells, DNA-assisted photonic crystal fabrication, and implantable biosensors. Education: B.S. Physics (Agra University, 1962), M.S. Physics (Agra University, 1963), B.S.E.E. (Roorkee University, 1965), M.S.E.E. (Indian Institute of Technology, 1968), Ph.D. (University of Connecticut, 1973). Research Interests: Quantum dot-based devices, optoelectronic modulators, nanochannel FETs, and bio-integrated sensors. He has led projects funded by the U.S. Army, Air Force, and Office of Naval Research. Recent work includes quantum dot gate transistors, multi-state SRAMs, and low-power CMOS ASIC chips for biomedical applications. Professional Activities: Coordinator of CT Microelectronics & Optoelectronics Consortium, member of IEEE Nanotechnology Advisory Board, and presenter at DARPA-MTO and Naval Underwater Warfare Center events. Lab/Team: Active in CMOC and collaborates with institutions like Taif University on nanoelectronics and biosensors.

• Database Systems
• Heterogeneous Computing
• GPU Acceleration
• +۴ مورد دیگر

David Broneske is a Researcher at the Otto von Guericke University of Magdeburg , Germany. His work spans Database Systems , Heterogeneous Computing , and Machine Learning Applications , with a focus on GPU/FPGA Acceleration and Non-volatile Memory (NVM) Optimization . He has contributed to projects like ADAMANT (co-processor integration) and GridTables (H2TAP data stores). Key Research Areas : Database acceleration via specialized hardware, Graph database applications in clinical/biological domains, and AutoML for domain-aware model selection. Collaborations : Frequent co-author with Gunter Saake, Bala Gurumurthy, and Sajad Karim on topics like NVM Storage and GPU-based Query Execution . Publications : Over 105 papers (2012–2025) covering Protein Identification Systems , Entity Resolution , and Software Evolution Datasets . Workshops : Co-organized the Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC) and contributed to standards like Backlogs/Interval Timestamps for temporal graph queries.

• Embedded Systems
• Hardware Security
• Memory Systems
• +۳ مورد دیگر

Jun Yang is a Professor at the Swanson School of Engineering, University of Pittsburgh. His research focuses on embedded systems, hardware security, memory systems, and processor microarchitecture. He has made significant contributions to GPU architecture, quantum computing, and secure memory management. Key honors include the NSF Faculty Early Career Development Award (2008) and Best Paper awards at ISLPED 2013 and ICCD 2013. His work bridges theoretical computer science with practical hardware implementations, addressing challenges in modern computing systems. Research Interests: Embedded Systems & Hardware Security: Developing robust systems against side-channel and memory vulnerabilities. Quantum Computing: Optimizing quantum circuit evaluation on photonic and hybrid platforms. Memory Systems: Innovations in GPU page management, TLB optimization, and storage deduplication. Publications span high-impact areas like multi-GPU systems, quantum resource management, and covert channel mitigation. His work frequently appears in top-tier conferences such as HPCA, ISCA, and ASPLOS.

• Computer Architecture
• Memory Systems
• Hardware/OS Interaction
• +۷ مورد دیگر

Vasileios Karakostas is an Assistant Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. He is a member of the Computer Architecture Lab and focuses on computer architecture, memory systems, and resource management. Previously, he was a postdoctoral researcher at the National Technical University of Athens' Computing Systems Lab. He holds a PhD in Computer Architecture from Universitat Politècnica de Catalunya and Barcelona Supercomputing Center. Education: Ph.D. in Computer Architecture, Universitat Politècnica de Catalunya (2016) M.Sc. in Computer Architecture, Networks, and Systems, UPC (2012) B.Eng. in Electrical and Computer Engineering, NTUA (2009) Research Interests: Memory systems (virtual memory, NVM) Hardware/OS interaction Resource management in data centers Parallel systems and serverless computing RISC-V architectures and cloud infrastructure Projects: Active in Horizon Europe projects Vitamin-V, Neuropuls, and REBECCA. Previously contributed to DAPHNE and ACTiCLOUD (EU H2020). Awards: 2024: Distinguished Artifact Award (ASPLOS) 2011: Best Paper Award (ICPE) Selected for IEEE Micro's Top Picks (2015, 2016) Teaching: Courses include Logic Design, Parallel Systems, and Large-scale Computing Systems at undergraduate and graduate levels. Labs/Teams: Leads research in the Computer Architecture Lab, collaborating on resilient architectures and cloud computing innovations.

Michal Friedmanمشاهده پروفایل

استادیار

• Systems
• Concurrent Computing
• Programming Languages
• +۳ مورد دیگر

Michal Friedman is an Assistant Professor at the Department of Computer Science, ETH Zurich, specializing in systems, concurrent computing, programming languages, and sustainable computing. He leads research on designing system fundamentals across software and hardware to enhance performance and efficiency in next-generation computing platforms. Prior to ETH, he completed a postdoc at the same institution and earned his Ph.D. from the Technion under Prof. Erez Petrank, focusing on concurrent data structures for non-volatile memories. Education: Ph.D. in Computer Science (Technion, advised by Erez Petrank), BSc Summa Cum Laude (Technion). Awards include the Eric and Wendy Schmidt Postdoctoral Award (2022), Blavatnik Prize (2021), and Azrieli Fellowship (2018–2021). His work spans persistent memory systems, concurrent algorithms, and energy-efficient computing. Key contributions include PCcheck (ML checkpointing), Dirigent (serverless orchestration), and foundational research on non-volatile memory correctness conditions. He has authored over 15 papers in top conferences like ASPLOS, SOSP, and VLDB, and serves on program committees for systems and programming languages venues.

Todd C. Mowryمشاهده پروفایل

استاد

• Computer Architecture
• Compiler Optimization
• Operating Systems
• +۶ مورد دیگر

Todd C. Mowry is a Professor in the Computer Science Department at Carnegie Mellon University. His work focuses on computer systems design across multiple domains, including hardware architecture, compiler optimization, operating systems, and database performance. He explores techniques for parallel processing, memory management, and efficient execution of machine learning workloads.

Matthew Hicksمشاهده پروفایل

دانشیار

• Software Security
• Hardware Security
• Embedded System Security
• +۵ مورد دیگر

Matthew Hicks is an Associate Professor in the Department of Computer Science at Virginia Tech, serving as the CACI Faculty Fellow in Cyber Security. His research focuses on software, hardware, and embedded system security, particularly in energy harvesting and IoT systems. He holds a Ph.D. from the University of Illinois Urbana-Champaign (2013), an M.S. from the same institution (2008), and a B.S. from the University of Central Florida (2006). His research interests emphasize hardware security mechanisms, defensive routing against malicious designs, and resilient computing in energy-constrained environments. Notable contributions include work on FPGA fingerprinting, compiler-assisted fuzzing, and intermittent computing paradigms. Recent publications explore countermeasures against hardware trojans, energy-efficient buffering, and secure checkpointing in batteryless systems. Dr. Hicks has no listed academic awards but maintains an active publication record in top-tier conferences. His work bridges theoretical computer science with practical hardware implementations, addressing vulnerabilities at both software and physical layers. While no student advisees or grants are explicitly mentioned, his research portfolio demonstrates sustained engagement with cutting-edge cybersecurity challenges.

Sam H. Nohمشاهده پروفایل

استاد

• Systems
• Storage Systems
• Cloud Computing
• +۷ مورد دیگر

Sam H. Noh is a Professor in the Department of Computer Science at Virginia Tech’s College of Engineering. His research focuses on systems software for storage, cloud computing, distributed systems, and embedded/mobile systems, with a strong emphasis on optimizing storage efficiency, data management, and hardware-software co-design. He earned his Ph.D. in Computer Science from the University of Maryland, College Park (1993) and a B.S. in Computer Engineering from Seoul National University (1986). His work spans innovations in SSD optimization, non-volatile memory architectures, and fault-tolerant storage systems. Education: Ph.D., Computer Science, University of Maryland, College Park (1993) B.S., Computer Engineering, Seoul National University (1986) Research Interests: Storage Systems (SSD optimization, LSM trees, indexing) Non-Volatile Memory (NVM, CXL interconnects, persistent memory) Cloud and Distributed Computing (data management, performance scaling) Embedded Systems (real-time data handling, mobile systems) Security in Storage (atomic writes, fault tolerance) Recent Trends in Publications: His recent work emphasizes reducing write amplification in storage systems, optimizing compaction in log-structured systems, and exploring emerging memory technologies like CXL and ZNS SSDs. His research bridges low-level hardware architectures with high-level system software to enhance efficiency and reliability. Labs/Teams: While specific lab names are not mentioned, his contributions align with Virginia Tech’s research in storage systems, embedded computing, and distributed storage architectures.

Dimitrios Soudrisمشاهده پروفایل

استاد

• Computer Engineering
• Embedded Systems
• Reconfigurable Architectures
• +۵ مورد دیگر

Dimitrios Soudris is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), leading the Microprocessor and Digital Systems Lab (MicroLab). Previously, he served as Lecturer, Assistant, and Associate Professor at Democritus University of Thrace from 1995 to 2008. Diploma in Electrical Engineering (1987), University of Patras PhD in Electrical Engineering (1992), University of Patras His research focuses on Embedded Systems , Reconfigurable Architectures (FPGAs) , Hardware Accelerators for data centers/space/cloud, Edge Computing , and Low Power VLSI Design . Recent publications highlight trends in: AI/ML acceleration for edge and space applications Secure FPGA architectures for 6G networks Energy-efficient heterogeneous memory systems Approximate computing techniques Transformer optimization for low-power contexts Scientific Awards: INTEL and IBM awards (project LPGD #25256) HiPEAC, DAC, and ISCA awards (2010–2024) XILINX Open Hardware Design Contest (2017, 2019, 2021) He has coordinated >70 R&D projects funded by the European Commission, ENIAC-JU, ESA, and industry partners. As Associate Editor of ACM TODAES and conference chair (PATMOS, VLSI-SOC), he contributes to academic leadership. His lab, MicroLab, specializes in hardware-software co-design for emerging computing paradigms.

Myoungsoo Jungمشاهده پروفایل

استاد

• Computer Architecture
• Operating Systems
• Solid State Drives
• +۶ مورد دیگر

Myoungsoo Jung is the KAIST Endowed Chair Professor and Full Professor at Korea Advanced Institute of Science and Technology, holding primary appointment in the School of Electrical Engineering with additional affiliations in the School of Semiconductor System Engineering, Graduate School of AI Semiconductor, Graduate School of System Architect, and Graduate School of AI. His research focuses on cutting-edge computer architecture and operating systems with specialization in memory and storage systems. Professor Jung's research interests span computer architecture, operating systems, flash memory, solid-state drives, non-volatile memory, file systems, parallel processing, and heterogeneous computing. He has pioneered work in CXL-based memory expansion, computational SSDs, and memory disaggregation technologies that are transforming modern data centers and AI infrastructure. His recent publications demonstrate significant advancements in CXL-driven architectures, computational storage, and memory systems. The research trends show increasing integration of storage and memory technologies with AI workloads, particularly in large-scale graph processing, federated learning, and billion-scale data management. His team's work frequently appears in top-tier venues including ISCA, HPCA, SOSP, and USENIX ATC. Hall of Fame, IEEE/ACM ISCA (2024) Digital Innovation Award from Minister of Science and ICT (2024) CES Innovation Award Winner, CXL-Enabled AI Accelerator (2025) Korea Innovative Startup Award, Ministry of Science and ICT (2025) Samsung Best Paper Award Winner (Grand Prize) (2022) Professor Jung has successfully advised numerous PhD students including Miryeong Kwon (recipient of KAIST Outstanding PhD Dissertation Award) and Donghyun Gouk. His CAMEL research lab has secured over $13M in funding from sources including DOE, NSF, and Korean government agencies. The lab maintains strong industry partnerships with Samsung, SK Hynix, and Panmnesia, focusing on translating research into practical systems. Current projects include CXL-based memory expansion, computational SSDs for AI acceleration, and next-generation storage architectures for hyperscale data centers.