Professor Lasse Natvig is a faculty member at the Norwegian University of Science and Technology (NTNU) in the Faculty of Information Technology and Electrical Engineering , specifically the Department of Computer Science . His research focuses on computer architecture , parallel processing , multi-core programming , and energy-efficient computing . His work includes studying vectorization techniques , cache management , power emulation models , and task scheduling policies to improve performance and energy efficiency in modern processors. He has published extensively in journals like Expert Systems With Applications , The Journal of Supercomputing , and Lecture Notes in Computer Science , with recent 2024 work on micromobility simulation tools. Lasse Natvig's research spans computer architecture , green computing , parallel algorithms , and energy measurement through publications addressing vectorization , cache optimization , and heterogeneous processing . His articles reveal a consistent focus on performance-energy tradeoffs , hardware-software co-design , and simulation tools for computational challenges. Email: lasse.natvig@ntnu.no
Dr. Alastair Basden is a leading researcher in astronomical adaptive optics and high-performance computing at Durham University's Department of Physics. He serves as the Head of the COSMA HPC Service, a Tier 1 national supercomputing facility supporting global astrophysical research. His work spans the development of real-time control systems, simulation platforms, and hardware innovations for Extremely Large Telescopes (ELTs).
Enrique S. Quintana-Ortí is a Professor at the Technical University of Valencia and Jaume I University , Spain, specializing in Computer Science of Systems and Computers . His work bridges High-Performance Computing (HPC) , Parallel Computing , and Deep Learning , with a focus on optimizing Matrix Algorithms for modern architectures. Key research areas: Quantized Inference , GEMM-Based Convolutions , GPU Acceleration , and Performance Portability across ARM, RISC-V, and NVIDIA processors. Recent projects include RED-SEA (European interconnect solutions), GreenLightningAI (decoupled AI systems), and Ginkgo (GPU-based linear algebra frameworks). His publications (2023–2025) emphasize edge computing , mixed-precision techniques , and energy-efficient AI . Collaborative efforts span institutions like Xilinx , Fujitsu , and co-authors such as Adrián Castelló , Héctor Martínez , and Francisco D. Igual .
Dr. Jakub Yaghob is a researcher at the Faculty of Mathematics and Physics , Charles University , specializing in computer science and parallel computing. He teaches advanced programming topics including Compiler Principles , Parallel Programming , and Cloud Computing . Research Interests : Parallel data stream processing, virtualization technologies, semantic web infrastructures, and performance optimization Teaching : Advanced C++ programming, virtualization administration, and computer systems architecture Technical Expertise : Design of parallelization frameworks, astrophysical data analysis, and hybrid CPU-GPU systems His publications focus on: Optimizing stream data processing across distributed architectures Developing domain-specific languages like Bobolang Performance evaluation in educational programming contexts Applications of parallel computing in astrophysics
Angela Pohl serves as a Professor in the Department of Computer Science and Media at Brandenburg University of Technology. Her academic office is located in Building C, Room C.2.18 at Magdeburger Straße 50, 14770 Brandenburg an der Havel, Germany, with contact available via telephone (+49 3381 355 - 459) and email (angela.pohl@th-brandenburg.de). Her research program centers on high-performance computing and compiler optimization , with critical contributions in: Vector length agnostic programming models for modern SIMD architectures Cost modeling and performance prediction for auto-vectorizers Architecture-specific optimizations for ARM NEON, Intel AVX, and SVE Application of vectorization to multimedia (VVC decoder) and scientific computing (RICH particle detector) Analysis of her 2015-2020 publications reveals a progression from foundational SIMD model evaluation to advanced portable cost modeling. Her work demonstrates consistent focus on bridging compiler technology with hardware capabilities, particularly emphasizing real-world applications in video coding and high-energy physics where vectorization delivers substantial performance gains.
Thomas Eisenbarth is an Affiliate Associate Professor in the Department of Electrical and Computer Engineering at Worcester Polytechnic Institute (WPI), with a collaborative appointment in the Department of Computer Science. Since August 2017, he has also served as a Professor at the Institute for IT Security, University of Lübeck, Germany. His research spans applied cryptology, embedded systems security, side-channel analysis, and cloud security. Ph.D. in ECE, Ruhr University Bochum, Germany Former researcher at Center for Cryptology and Information Security (CCIS), Florida Atlantic University Member of Horst Görtz Institute for IT Security (HGI) during doctoral studies His research focuses on applied cryptology , secure computer architecture , side-channel and physical attacks , and cloud and virtualization security . He leads research efforts in identifying and mitigating microarchitectural vulnerabilities, particularly in cryptographic implementations. His work is closely tied to the Vernam Group at WPI. The most recent publications highlight trends in cache-based side-channel attacks , particularly in cloud and trusted execution environments (e.g., SGX). His research demonstrates practical attacks on cryptographic implementations, including false dependency exploits and cross-VM leakage, while also proposing countermeasures like CacheShield and MASCAT. The recurring themes include microarchitectural vulnerabilities , hardware-software interaction risks , and privacy threats in virtualized environments . Scientific contributions and recognitions include: Best Paper Award, CHES 2008 Editor, Springer’s Journal of Cryptographic Engineering Guest Editor, IEEE Embedded Systems Letters Special Issue on Embedded System Security General Co-Chair: CARDIS 2020, CARDIS 2021, CHES 2013 TPC Co-chair: CARDIS 2017, SPACE 2017, LightSEC 2014, WESS 2013 PC Member: USENIX Security, IEEE S&P, CRYPTO, EuroCRYPT, and others Thomas Eisenbarth has advised and collaborated with numerous researchers and students, many of whom are co-authors on his publications. His service includes extensive editorial and conference leadership roles. He has not received major grants explicitly mentioned in the text, but his sustained publication record and leadership suggest active funding. He is involved in promoting research exchanges with Europe, particularly Germany, through DAAD, DFG, and Fulbright programs. His research lab, the Vernam Group , focuses on practical side-channel analysis, secure hardware design, and cryptographic implementations. The team works on both offensive techniques (e.g., cache attacks) and defensive mechanisms (e.g., masking, threshold implementations). They utilize FPGA platforms, cloud environments, and embedded systems to evaluate real-world security.
Dr. Arindam Mukherjee serves as an Associate Professor in the Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte, College of Engineering. His office is located in EPIC 2336, and he can be reached at amukherj@charlotte.edu or by phone at 704-687-8417. His educational qualifications are as follows: Ph.D. from the University of California at Santa Barbara (2002) M.S. from the University of California at Santa Barbara (2000) B.Tech. from Jadavpur University, India (1996) Dr. Mukherjee's research spans Smart System Architectures, Internet of Things (IoT), and Fog Computing. He investigates cooperative and autonomous mobile systems, real-time system software, and database management for Big Data. His work includes scheduling algorithms for IoT systems and the integration of edge, fog, and cloud computing paradigms for real-time applications in the Big-Squared Data space. His publication record from 2003 to 2018 shows an evolution from VLSI design and bioinformatics to contemporary IoT and fog computing. Early work focused on logic synthesis, biochip testing, and FPGA-based bioinformatics implementations, while recent contributions address power management in heterogeneous processors, energy-efficient communications for smart buildings, and the synergistic integration of edge, fog, and cloud computing for real-time IoT data processing. No scientific awards are mentioned in the provided text. There is no information available regarding students advised or research grants. Similarly, no specific research labs or collaborative teams are described in the source material.
Ioannis Venetis is an Assistant Professor at the University of Piraeus, School of Information and Communication Technologies, Department of Informatics, specializing in Operating Systems and Parallel Computing. He earned his PhD from the Department of Computer Engineering and Informatics at the University of Patras. His research spans programming models for parallel systems, scheduling optimization, and applications in computational neuroscience and seismology. Research Interests Operating Systems Parallel Computing Scheduling Algorithms High-Performance Computing Computational Neuroscience Seismology Projects Participation in European and national research programs Development of Gisola (GPU-accelerated seismic inversion tool) His teaching portfolio includes courses like Operating Systems, Parallel Processing, and Symbolic Programming. Articles highlight expertise in GPU acceleration, tridiagonal solvers, sensor networks, and many-core architectures. Notable contributions include work on Chimera states in neuronal dynamics and hierarchical workload scheduling frameworks.
Volkan GÜNEŞ is a Lecturer in the Department of Computer Engineering at Kırşehir Ahi Evran University's Faculty of Engineering and Architecture . He holds a PhD in Computer Science from the University of California, Irvine (2015) and a Master's degree (2010) from the same institution, with a focus on computer engineering. His academic career spans roles at Süleyman Demirel University (2016-2018), Isparta Applied Sciences University (2018-2019), and Kırşehir Ahi Evran University since 2019. Education : PhD in Computer Science and Engineering (2015), MS (2010), BS in Electronics and Computer Education (2006). Research Areas : Cyber-physical systems, smart building optimization, embedded processor design, and fault mitigation in sensor networks. Publications : His work explores CPS applications, energy-efficient HVAC systems, and scalable many-core architectures. Collaborators : Tony Givargis, Steffen Peter, Frank Vahid.
