Find Academic Supervisors

• High-Performance Computing (HPC)
• Cloud Computing
• Parallel Systems Optimization
• +5 more

Bo Peng is an Associate Professor of Computer Science at KTH Royal Institute of Technology in Stockholm, leading the Scalable Computing Laboratory (ScaLab). Previously, he held roles as a Computer Scientist at Lawrence Livermore National Laboratory (LLNL) and a postdoctoral fellow at Oak Ridge National Laboratory (ORNL). He coordinates the EU Horizon 2022 Project OpenCUBE and leads a Swedish Research Council (VR) grant on Disaggregated Memory for Emerging Parallel Systems. His research focuses on optimizing large-scale parallel systems through architecture-aware design, performance modeling, and memory subsystem innovation for heterogeneous computing environments. He teaches courses such as Applied GPU Programming, High-Performance Computing, and Operating Systems. As an academic leader, he supervises multiple PhD students and co-supervises additional researchers. His service includes roles on technical program committees for top conferences like IEEE TPDS, SC, and ICS, and journals like IEEE Transactions on Parallel and Distributed Systems. Bo Peng’s work has been recognized with prestigious awards, including the R&D 100 Award in 2024. His research bridges HPC and cloud computing, emphasizing scalable systems and resource efficiency in next-generation architectures.

Shoaib AkramView profile

Lecturer

• Computer Architecture
• Hardware/Software Interface
• Storage-Intensive Applications
• +6 more

Shoaib Akram is a Lecturer at the ANU School of Computing, Australian National University. He holds a Ph.D. in Computer Science and Engineering from Ghent University (Belgium) and an M.S. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. He has received prestigious awards such as the Fulbright Scholarship (2007-2009) and a Marie Curie Fellowship (2010-2012). His research focuses on optimizing storage-intensive applications, computer architecture, and hardware-software interfaces, particularly for modern data-centric systems. He leads the Vertically Integrated Computer Systems (VICS) research group and has published extensively in top-tier conferences like PLDI, ASPLOS, and ISPASS. He teaches foundational computer architecture courses to over 400 students annually and restructured ANU’s computer systems curriculum. Education: Ph.D. in Computer Science and Engineering, Ghent University (Belgium) M.S. in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (USA) Research Interests: Storage-Intensive Applications Non-Volatile Memory Systems Garbage Collection Algorithms Big Data Framework Optimization Performance Analysis Hardware-Software Co-Design Awards: NVMW Memorable Paper Award (2019) HiPEAC Paper Awards (ASPLOS 2023, PLDI 2018) Marie Curie Fellowship (2010-2012) Fulbright Scholarship (2007-2009) Teaching & Service: Introductory and Advanced Computer Architecture Courses Program Committee Member for ISCA, MICRO, HPCA, and ASPLOS Artifact Evaluation Committee for OOPSLA and PLDI Labs/Groups: He leads the ANU's Vertically Integrated Computer Systems (VICS) research group, focusing on interdisciplinary system-level research.

• Computer Architecture
• Reliable Computer Design
• Fault Detection and Recovery
• +3 more

Gülay YALÇIN is an Assistant Professor at Abdullah Gul University since 2016. She holds a Ph.D. in Computer Architecture from Universitat Politècnica de Catalunya (2014), an MS in Computer Engineering from TOBB University (2007), and a BS in Computer Engineering from Hacettepe University (2003). Her research focuses on reliable computer design, fault detection, parallel architectures, and low-power systems. She has led projects like ParaDIME (2012-2015) and Velox (2008-2011), advancing energy-efficient computing and transactional memory. Education: Ph.D., Universitat Politècnica de Catalunya, Department of Computer Architecture (2008-2014) M.S., TOBB University of Economics and Technology, Computer Engineering (2007) B.S., Hacettepe University, Computer Engineering (2003) Research Interests: Her work spans fault-tolerant computing, energy-efficient designs, hardware transactional memory, and parallel architectures. She has contributed to error detection techniques leveraging comparators, voltage scaling for reliability, and novel cache designs like Flexicache. Key Projects: ParaDIME (2012-2015): Energy minimization in data centers. Shortlisted for the 2016 Innovation Radar Prize. Velox (2008-2011): Transactional memory for multi-core systems. Reliable Embedded Processors (2007-2008): Fault mitigation in embedded systems. Teaching: She teaches undergraduate courses on 'Exploring Profession' and graduate courses on 'Computer Architecture.' Advising: Currently advising M.S. student Albert Njoroge Kahira on reliable microarchitecture design. Labs/Teams: Active in the Barcelona Supercomputing Center (BSC) during her postdoc (2014-2015) and as a graduate researcher (2009-2014).

Stergios AnastasiadisView profile

Professor

• Operating Systems
• Distributed Storage
• File Systems
• +2 more

Stergios Anastasiadis is a Professor at the University of Ioannina's Department of Computer Science and Engineering, with visiting appointments at Cambridge and EPFL. His research focuses on core systems innovation spanning operating systems, distributed storage, and cloud infrastructure. Research interests include multitenant isolation, concurrent data structures, storage I/O optimization, and filesystem design. His work develops novel approaches to resource management in cloud environments, emphasizing security, efficiency, and reliability in distributed systems. Recent publications reveal sustained focus on storage subsystem optimization, with contributions to journaling techniques, isolation mechanisms, and I/O performance tuning. Key innovations include lock-free concurrency models, client-side storage innovations, and cross-platform memory management techniques. Educational background includes Ph.D. from University of Toronto and international research collaborations. No specific advising relationships or scientific awards are documented. Laboratory affiliations include distributed systems research groups at University of Ioannina, with collaborations extending to cloud computing initiatives across Europe.

Lars WrengerView profile

Researcher

• Operating Systems
• Memory Management
• Virtualization
• +3 more

Lars Wrenger is a Doctoral Researcher and Researcher at Leibniz University Hannover's System Architecture (SRA) Group, specializing in operating systems and memory management for heterogeneous memory systems including non-volatile and distributed memory architectures. He holds an M.Sc. and is pursuing his PhD, having completed his Master's thesis 'Lo(ck|g)-free Page Allocator for Non-Volatile Memory in the Linux Kernel' which earned him the GI-FGBS Award for Best Master Thesis in 2023. His research focuses on Operating Systems , Memory Management , and Virtualization , addressing fundamental challenges in memory allocation scalability, fragmentation, and crash consistency. His publication portfolio demonstrates consistent innovation in memory subsystems, with recent work on the LLFree allocator and HyperAlloc mechanism presented at premier venues like OSDI, EuroSys, and USENIX ATC. These contributions show a clear trajectory toward efficient, scalable memory management solutions for next-generation hardware architectures. Key recognitions include: ARCS Conference Best Paper Award (2023) for TOSTING research USENIX ATC Distinguished Artifact Award (2023) for LLFree DIMES Workshop Best Paper Award (2024) for fragmentation analysis GI-FGBS Best Master Thesis Award (2023) Wrenger actively mentors graduate students on advanced memory management topics including page allocators, virtual memory systems, and energy-efficient DRAM management. His research is primarily funded through the DFG ParPerOS project (LO 1719/8-1 and DI 2840/2-1), which develops unified memory abstractions for heterogeneous systems. As a core member of the SRA Group, he collaborates with the Barkhausen Institute and TU Dresden on microkernel-based containerization (MettEagle project) and maintains active open-source contributions to memory management subsystems, with significant GitHub presence and ORCID 0009-0006-9583-6207.

Mohammad AlianView profile

Assistant Professor

• Computer Architecture
• Data Center Systems
• Memory Systems
• +5 more

Mohammad Alian is an Assistant Professor at the School of Electrical and Computer Engineering, Cornell University. He earned his Ph.D. (2020) and MS (2015) from UIUC and UW-Madison, respectively. His research focuses on redefining data-delivery hierarchies in data centers through computer architecture and systems research. Current Projects: Near-Memory Acceleration, Accelerator Fusion, Micro-Service Co-Design, Compound AI Systems, Memory Specialization, Gem5 Simulation Tools. Recent Awards: MICRO Hall of Fame (2025), NSF CAREER (2022), Miller Faculty Scholar (2023), Open Innovation Contest placements. His research spans Computer Architecture , Memory Systems , and Networked Computation , emphasizing algorithm-hardware co-design for distributed and heterogeneous computing. Recent work includes accelerating large-context LLMs (LongSight), optimizing gem5 simulation (Userspace Networking), and designing cross-accelerator chains (Data Motion Acceleration). ARG (Alian Research Group) collaborates with industry leaders like NVIDIA, Samsung, and SRC/DARPA JUMP 2.0 ACE Center. He serves on PC/Organizing Committees for top conferences (MICRO, ISCA, HPCA) and teaches Data Center Architecture (ECE 6960) and Digital Logic (ECE 2300) . Scientific Awards Inducted into MICRO Hall of Fame (2025) NSF CAREER Award (2022) IEEE Micro Top Picks Honorable Mention (2017) Best Paper Nominee - HPCA 2017, MICRO 2018 Open Innovation Contest: 2nd Place (2022), Finalist (2021) As Principal Investigator, he leads NSF-funded projects (CCRI, AI-Assisted Scaffolding) and co-leads the $31.5M SRC/DARPA JUMP 2.0 ACE Center . His lab develops open-source tools like dist-gem5 and DPDK on gem5, with industry support from NVIDIA (equipment donation) and Samsung.

Matt SinclairView profile

Assistant Professor

• Computer Architecture
• Heterogeneous Computing
• GPU Architecture
• +7 more

Matt Sinclair is an Assistant Professor in the Computer Sciences Department at the University of Wisconsin–Madison, with affiliate appointments in the Electrical and Computer Engineering Department and the Teaching Academy. He leads the Heterogeneous Architectures Lab (HAL) and is actively involved in the gem5 Project Management Committee, focusing on modern heterogeneous computing systems. His research interests include computer architecture, GPU design, parallel programming, operating systems, and high-performance computing. He develops tools and methodologies for programming and optimizing future heterogeneous systems, particularly focusing on GPUs. His work spans architectural design, efficient software implementation, and simulation frameworks. Recent publications highlight advancements in gem5 simulation accuracy, GPU energy modeling, synchronization mechanisms, and scheduling policies for ML workloads. His research has led to improvements in GPU memory bandwidth modeling, extensible power modeling, and full-system heterogeneous simulation capabilities. Scientific awards include the NSF CAREER Award, the David J. Kuck Outstanding PhD Thesis Award, and a Qualcomm Innovation Fellowship. He has also received honors such as the ACM SIGARCH–IEEE TCCA Outstanding Dissertation Award Honorable Mention and multiple fellowships. He mentors a diverse group of graduate and undergraduate students, many of whom have published at top venues and moved on to roles at NVIDIA, AMD, Microsoft, and leading graduate programs. He is involved in teaching and curriculum development, particularly through the Excel Initiative and as a former Madison Teaching & Learning Fellow. He also stewards the ISCA Hall of Fame, contributing to the academic community beyond research.

Daniel KoptaView profile

Assistant Professor

• Computer Graphics
• GPU Architecture
• Computer Architecture
• +3 more

Daniel Kopta is an Assistant Professor and Lecturer in the School of Computing at the University of Utah. His research focuses on computer graphics, GPU architecture, energy-efficient computing, and parallel processing, with a strong emphasis on hardware-accelerated ray tracing and memory subsystem optimization. Prior to his academic role, he worked as a Senior OptiX Engineer at NVIDIA, contributing to advanced graphics and computing technologies. He earned his PhD in Computer Science from the University of Utah under Dr. Erik Brunvand, specializing in ray-traced computer graphics and GPU architecture. His work bridges theoretical computer science with practical hardware design, addressing challenges in rendering performance, energy consumption, and scalable computing systems. Key research themes include optimizing memory hierarchies for graphics pipelines, analyzing DRAM behavior in rendering contexts, and developing energy-efficient architectures for real-time applications. His publications span topics like dual-split trees, motion blur algorithms, and multi-core systems simulation (SimTRaX). No scientific awards are explicitly mentioned in the provided information. His advising and grant activities remain unspecified, though his academic role suggests active mentorship in computer graphics and architecture research.

• Network-on-Chip (NoC)
• Embedded Systems
• Fault Tolerant Design
• +4 more

Martin Radetzki is a full Professor at the Institute for Computer Architecture and Parallel Systems (University of Stuttgart) , specializing in Embedded Systems . His work focuses on network-on-chip (NoC) design, fault tolerance, memory optimization, and simulation frameworks. Key research areas: NoC synthesis, deadlock-free routing, performability analysis, and power-efficient memory subsystems Recent publications emphasize integer linear programming frameworks for co-designing floorplanning and routing, chiplet-based systems , and machine learning-enabled performance evaluation His methodologies address cross-layer challenges in NoC design, combining formal optimization with practical implementation for heterogeneous processing elements. Collaborative projects include fault resilience analysis, parallel simulation techniques, and memory allocation strategies for SoCs. Dr. Radetzki supervises research with students like Shuang Liu and Manuel Strobel , contributing to IEEE Transactions on Computers , ACM TECS , and conferences such as DATE and MCSoC . Current work explores optimal routing topologies for emerging chip architectures.

Guido MuellerView profile

Professor

• Gravitational Wave Detection
• LISA Interferometry
• Axion Particle Search
• +3 more

Dr. Guido Mueller is Professor of Physics at the University of Florida, affiliated with the Institute for High Energy Physics and holding a PhD from Universität Hannover. His research focuses on gravitational wave detection (LIGO/LISA) and particle physics (ALPS collaboration), with major contributions to Advanced LIGO's input optics subsystem enabling the first gravitational wave detection. Professor Mueller serves as Co-Spokesperson for the ALPS collaboration and holds leadership positions in the LISA Consortium. Research spans terrestrial/space gravitational wave observatories and detectors for axions/axion-like particles. Current projects investigate charge management systems for space inertial sensors, dimensional stability testing for space telescopes, and heterodyne detection techniques for ultra-weak electromagnetic fields. Publications demonstrate pioneering work in precision interferometry, quantum noise reduction, and space instrumentation. Recent articles focus on LISA pathfinder technology validation, UV-LED charge management systems, and axion detection methodologies using optical resonators. Scientific Awards: Gruber Cosmology Prize (2016) Breakthrough Prize in Fundamental Physics (2016) APS Fellow (2014) International Educator of the Year (2006) Secured over $20M in research funding from NSF, NASA, and private foundations. Supervised 16 PhD students and 11 postdoctoral scholars. Organized NSF-funded international research experience for undergraduate students in gravitational physics. Directs the Fields-CQAM Laboratory for Inference & Prediction, developing instrumentation for gravitational wave observatories and dark matter searches through collaborations with international partners.

Paulo GarciaView profile

Assistant Professor

• Embedded Real-Time Systems
• Hardware/Software Co-Design
• FPGA Acceleration
• +3 more

Paulo Garcia is an Assistant Professor in the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada. He holds a Ph.D. in Computer Engineering from the University of Minho, Portugal, with research periods at Asian Institute of Technology and University of Würzburg. His academic roles include serving as a faculty member, thesis chair/examiner, and committee member in multiple university initiatives. Research Focus: Embedded real-time systems, hardware/software co-design, FPGA acceleration, and engineering pedagogy. Specific technical areas include multicore architectures, runtime systems, and hardware accelerators for embedded applications. His work emphasizes synergies between processor architectures, compilers, and FPGA-based solutions. Teaching: Courses include SYSC 3310 (Real-Time Systems), SYSC 4310 (Computer Architecture), and SYSC 5807 (Hardware/Software Co-Design). He supervises senior projects like robotic systems and eHealth wearable devices. Awards & Grants: Includes 2020 awards from General Dynamics Mission Systems and Carleton’s Rapid Response Grant, plus multiple scholarships from FCT Portugal and EU programs. His research has been supported by industry partnerships and defense collaborations. Service: Active in academic service as a thesis evaluator, member of student mental health committees, and representative in university governance bodies. Engaged in curriculum development and embedded systems program revisions.

Zane WeissmanView profile

Teaching Professor

• Microarchitectural Security
• FPGA-CPU Systems
• Cloud System Security
• +3 more

Zane Weissman is an Assistant Teaching Professor in the Department of Electrical and Computer Engineering at Worcester Polytechnic Institute (WPI). She holds a Ph.D. in Electrical and Computer Engineering from WPI (2024), following B.S. (2019) and M.S. (2019) degrees in the same field. Her teaching focuses on computer engineering with an emphasis on hands-on laboratory work and collaborative project-based learning. Her research explores microarchitectural security vulnerabilities in FPGA-CPU systems and cloud infrastructure, with publications in peer-reviewed journals and a book chapter. She also contributed to environmental studies on sound pollution in national parks. Education Ph.D., Electrical and Computer Engineering, WPI (2024) M.S., Electrical and Computer Engineering, WPI (2019) B.S., Electrical and Computer Engineering, WPI (2019) Research Interests Her research bridges hardware security and cloud computing, investigating vulnerabilities in FPGA-CPU co-designs and serverless platforms. She explores mitigations for microarchitectural attacks like rowhammer and IOTLB-SC leaks, while maintaining a secondary interest in environmental acoustics. Her work emphasizes practical defenses for modern computing systems. Publications Recent work includes analysis of high-frequency bit flip impacts (2025), Firecracker VMM security (2024), and FPGA-driven rowhammer attacks (2019). Earlier environmental studies on sound pollution (2017) reflect a multidisciplinary approach to research. Labs/Teams No specific lab affiliations listed, though her teaching emphasizes collaborative project work in WPI's lab facilities.

Michael ClarksonView profile

Senior Lecturer

• Computer Science Education
• Functional Programming (OCaml)
• Formal Verification
• +3 more

Michael Clarkson is a Senior Lecturer and Interim Director of Undergraduate Studies (DUS) in the Department of Computer Science at Cornell University. He is a teaching-track faculty member known for his open-source textbook on OCaml programming and his YouTube channel with over a million views. His research interests include functional programming, formal verification, computer security, and innovative teaching methodologies. He has taught over 6,000 students and received Cornell’s highest annual teaching award for teaching-track faculty in 2022. His roles include serving on the Cornell Faculty Senate and advising the Dungeons & Dragons at Cornell club. Clarkson’s academic contributions extend to cybersecurity, election verifiability, and secure voting systems (e.g., Du-Vote ). He has published extensively on topics like hyperproperties, cryptographic protocols, and software security. He advocates for active learning strategies and equitable education practices, emphasizing student belonging and reducing achievement gaps. His work bridges theoretical computer science with practical teaching innovations, reflecting his dedication to both research and pedagogy.

Binoy RavindranView profile

Professor

• Computer Systems
• Operating Systems
• Concurrency
• +7 more

Binoy Ravindran is a Professor and Bradley Senior Faculty Fellow in the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Systems Software Research Group. He holds a Ph.D. from The University of Texas at Arlington (1998). His research focuses on computer systems, emphasizing security, performance, energy efficiency, and timeliness in areas like concurrent, heterogeneous, distributed, and real-time computing. Recent projects include the Low-level Reasoning Machine (LLRM), Popcorn Linux, and LibrettOS. He teaches courses such as ECE/CS 5510 (Multiprocessor Programming), ECE/CS 5544 (Compiler Optimizations), and ECE 5984/SS (Modern Binary Exploitation). His service roles include editorial board positions at IEEE Transactions on Cloud Computing and ACM Transactions on Embedded Computing Systems, and he co-chaired ACM Systor 2025. Ravindran has published over 330 papers, earning nine best paper awards, and has mentored 26 PhD students, 23 postdocs, and 11 research faculty. Notable honors include ACM Distinguished Scientist and an Office of Naval Research Faculty Fellowship. His research group explores projects like LLRM (binary security verification), Popcorn Linux (heterogeneous ISA systems), and KairosVM (real-time hypervisor). Recent advancements include Stramash OS (ASPLOS'25) and Hexo (DOD infrastructure offloading).

• Computer Architecture
• Multi-core Systems
• Fault-Tolerant Computing
• +4 more

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)