Find Academic Supervisors

Salam TraboulsiView profile

Researcher

• Smart City
• 5G Applications
• Indoor Positioning Systems
• +2 more

Dr. Salam Traboulsi is a Researcher at Stuttgart University of Applied Sciences (HFT Stuttgart), affiliated with the Competence Center for Digitalization in Research, Teaching & Economics since 2019. She holds a PhD in Computer Science from the University of Toulouse, France (2008). Her work bridges technology and urban innovation, with a focus on developing scalable solutions for modern cities. Research Focus: Dr. Traboulsi specializes in: Smart City ecosystems integrating IoT and 5G Precision technologies for urban positioning and navigation Data management frameworks for large-scale sensor networks Open-source IoT platforms for building efficiency and environmental monitoring Cloud and grid computing infrastructures Key Projects: She leads/contributes to: iCity 2: UDigiT4iCity – Developing urban digital twins using IoT building data and 5G sensor networks iCity 1 – Foundational research on intelligent urban infrastructure systems Publication Trends: Her recent work (2020-2024) emphasizes 5G-enabled urban solutions, including fleet management optimization, indoor positioning systems, and IoT analytics for smart buildings. Earlier research (2005-2013) focused on distributed computing, storage virtualization, and information retrieval systems, demonstrating consistent expertise in large-scale data infrastructure. Academic Engagement: She serves as a scientific reviewer for journals and conferences and teaches in the surveying study area at HFT Stuttgart.

Michael KuhnView profile

Professor

• Parallel Computing
• High-Performance Computing
• Storage Systems
• +3 more

Prof. Dr. Michael Kuhn is a Professor in the Faculty of Computer Science at Otto von Guericke University Magdeburg since 2020, leading the Parallel Computing and I/O Group. His work bridges theoretical parallel computing concepts with practical high-performance computing implementations. His academic journey includes: Bachelor's degree in Computer Science from Heidelberg University (2007) Master's degree in Computer Science from Heidelberg University (2009) Doctorate from Hamburg University (2015) with dissertation on "Dynamically Adaptable I/O Semantics for High Performance Computing" Prof. Kuhn's research tackles critical challenges in modern computing infrastructure where systems scale to millions of processor cores. He investigates fundamental improvements to storage architectures, I/O interfaces, and programming models that enable efficient data processing at exascale levels. His development of the JULEA storage framework provides dynamically adaptable solutions for high-performance computing environments, addressing the growing mismatch between computational power and data movement capabilities. As faculty public relations officer, he maintains the Faculty of Computer Science's digital presence while actively teaching courses that equip students with practical parallel programming skills. His group's work demonstrates how breaking computational problems into parallelizable components—like the matrix processing example reducing runtime to a quarter—enables scientific breakthroughs requiring massive computational resources. The Parallel Computing and I/O Group serves as a hub for advancing storage technologies and parallel processing methodologies, with applications spanning scientific computing, big data analytics, and next-generation supercomputer architectures.

Vincent WeaverView profile

Associate Professor

• Hardware Performance Counters
• Computer Architecture
• High Performance Computing
• +8 more

Vincent Weaver is an Associate Professor in the Electrical and Computer Engineering Department at the University of Maine's College of Engineering. He leads the VMW Research Group, focusing on low-level systems research including hardware performance counters, computer architecture, and operating systems. Weaver received his BS in Electrical Engineering from the University of Maryland College Park in December 2000, followed by MS (January 2009) and PhD (May 2010) degrees in Electrical and Computer Engineering from Cornell University. He joined the University of Maine faculty in July 2012 as an Assistant Professor and earned tenure and promotion to Associate Professor in September 2018. His research centers on hardware performance analysis, architectural simulation, and systems programming with emphasis on Linux kernel development and embedded systems. Weaver's work bridges theoretical computer architecture with practical systems implementation, often resulting in open-source tools that advance the field. His publications reveal a consistent focus on performance analysis techniques, code optimization, and security through low-level system understanding. Weaver maintains an active teaching schedule including courses in embedded systems, operating systems, and network engineering. He values students with strong programming skills and encourages open source contributions as part of the learning process. His research group provides hands-on experience with cutting-edge processor architectures and performance analysis tools.

• Electronics
• Microelectronics
• Radiation Detectors
• +5 more

Valerio Re is a Full Professor of Electronics at the Department of Engineering and Applied Sciences of the University of Bergamo, specializing in microelectronics for radiation detectors and sensor systems. His academic career spans over three decades with significant contributions to high-energy physics instrumentation and biomedical sensor applications. Re received his Physics degree with honors from the University of Milan in 1985 and earned his PhD in Electronic Engineering from the University of Pavia in 1990. His educational background provided the foundation for his subsequent research in advanced electronics for challenging environments. His research interests focus on analog front-end circuits for radiation detectors, noise and radiation resistance in electronic devices, development of measurement instrumentation, and nanoscale CMOS technologies for sensor signal processing. More recently, he has expanded into wearable sensor systems for wireless monitoring of physiological parameters. His work bridges fundamental electronics with practical applications in particle physics and healthcare. Analysis of his recent publications (2021-2025) reveals a strong focus on advancing pixel detector technology for high-energy physics experiments (particularly Belle II and HL-LHC), with increasing exploration of 2D materials and smart textiles for biomedical applications. His research demonstrates a consistent progression toward smaller technology nodes (65nm to 28nm CMOS) while addressing the challenges of radiation hardness and high data rates. Re has served as Scientific Director for two major Horizon 2020 projects: Advanced European Infrastructures for Detectors at Accelerators (2015-2020) and Remote Assessment of Disease and Relapse in Central Nervous System Disorders (2016-2022). From 2014-2017, he coordinated the Analog Working Group of CERN's RD53 project, and from 2015-2020 led WP4 of the AIDA-2020 project. His teaching portfolio includes Biomedical Sensors for Medical and Mechatronics Engineering programs, and Electronics and Industrial Measurements for Computer Engineering. His research group collaborates extensively with microelectronics companies, clinical research institutions, and international physics laboratories including CERN and INFN.

Limin JiaView profile

Research Professor

• Security
• Programming Languages
• Formal Methods

Limin Jia is a Research Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, with a courtesy appointment in the Computer Science Department. She is affiliated with CyLab, CMU's security and privacy research institute. She received her PhD in Computer Science from Princeton University and a BE from the University of Science and Technology in China. Her research applies formal techniques to enhance software security, focusing on programming languages and distributed systems. Key interests include: Language-based security mechanisms Formal verification of distributed systems Secure compilation techniques Intermittent computing foundations Her publications demonstrate strong emphasis on security guarantees in programming languages (Rust/WebAssembly), formal methods for intermittent systems, and software supply chain security. Recent works frequently address type systems, compiler verification, and energy-constrained computing. Dr. Jia maintains an extensive advising portfolio with current and former students spanning PhD and Master's programs. She teaches foundational security courses including Browser Security and Introduction to Information Security .

Lothar BraunView profile

Professor

• IT Security
• Network Security
• Industrial Security
• +3 more

Professor Lothar Braun is a faculty member in the Faculty of Computer Science at Augsburg University of Applied Sciences, where he leads research and teaching activities in security-related fields. His work focuses on practical applications of security technologies with particular emphasis on industrial systems. His research interests span multiple security domains including: IT Security fundamentals and applications Network security protocols and implementations Industrial control system security Embedded systems security Fuzzing techniques and penetration testing methodologies Professor Braun actively supervises student theses and offers various research opportunities through the THA_innolab facility. He teaches core security courses and programming fundamentals, emphasizing hands-on security testing and analysis techniques. Students interested in security research can contact Professor Braun directly regarding thesis opportunities in areas such as protocol implementations for fuzzers, I/O tracing, and embedded security testing. He maintains an open approach to thesis topics and encourages students to propose their own research directions aligned with his expertise.

• High Performance Computing
• Distributed Systems
• Deep Learning
• +4 more

Muhammad Mustafa Rafique is an Associate Professor in the Department of Computer Science at Rochester Institute of Technology's Golisano College of Computing and Information Sciences. His research specializes in optimizing large-scale computing systems, with focus areas including: High-performance computing (HPC) resource management Distributed deep learning acceleration Fault-tolerant cloud architectures GPU-accelerated checkpointing systems Serverless computing frameworks Dr. Rafique's work demonstrates consistent innovation in improving computational efficiency for containerized HPC workflows, multi-GPU scheduling, memory optimization, and distributed training pipelines. His publications frequently appear in premier IEEE/ACM conferences, reflecting contributions to systems performance engineering. While no awards or student advisees are mentioned in available materials, his research collaborations include co-authors from institutions worldwide, indicating active engagement in the high-performance computing research community. Current work explores emerging memory technologies like CXL and advanced containerization techniques for next-generation datacenters.

Myoungsoo JungView profile

Professor

• Computer Architecture
• Operating Systems
• Solid State Drives
• +6 more

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.

Kawashima RyotaView profile

Associate Professor

• Network Function Virtualization
• Cloud-Native Networking
• High-Performance Computing
• +3 more

Kawashima Ryota is an Associate Professor at Chubu University in the Department of Information Engineering, Network Field. He holds a PhD in Information Science from The Graduate University for Advanced Studies (2010) and a Master's in Software Information Science from Iwate Prefectural University (2007). Prior to his academic career, he worked as an R&D Engineer at Stratosphere, Inc. and ACCESS CO., LTD. His research focuses on: High-performance cloud-native networking and NFV infrastructure optimization CPU cache efficiency and I/O parallelization in virtualized environments Transparent acceleration techniques for distributed databases and key-value stores Low-latency solutions for beyond-5G network architectures Recent publications (2020-2024) demonstrate strong emphasis on: Optimizing cloud-native network functions for terabit-class throughput Reducing virtualization overhead through hardware-aware resource allocation Developing proxy-based acceleration layers for NewSQL and distributed KVS Addressing latency/jitter challenges in next-generation networks Awards & Honors: IEEE FNWF'24 Best Paper Award (2024) IEICE ICM Research Award (2023) IEEE NFV-SDN Best Paper Award (2018) IEICE Communications Society Best Paper Award (2017) Research Leadership: Secured competitive grants including JSPS Kakenhi (¥16.9M direct funding) for terabit-class cloud networking research. Mentored award-winning students including IEEE Nagoya Section Excellent Student Award recipient Yuki Taguchi. Active in industry collaborations with Bosco Technologies on NFV efficiency.