Find Academic Supervisors

• Machine Learning
• Wireless Communications
• Network Optimization
• +3 more

Dr. Ashvin Srinivasan is a Doctoral Researcher at Aalto University , affiliated with the Department of Information and Communications Engineering . His research focuses on the intersection of wireless communications, network optimization, and machine learning. Academic Rank: Researcher Email: ashvin.1.srinivasan@aalto.fi His work explores reinforcement learning applications in next-generation cellular networks and dynamic resource allocation. Key research areas include: Multi-Agent Reinforcement Learning Cache Policy Optimization Asynchronous Scheduling A review of his publications reveals a focus on artificial intelligence-driven network optimization , particularly in cellular infrastructure and subnetwork scheduling. Recent studies emphasize deep reinforcement learning for adaptive systems. Affiliated with the Communications Theory research group, Dr. Srinivasan collaborates on advancing wireless communication frameworks.

Alexandru PalerView profile

Associate Professor

• Quantum Computing
• Quantum Software
• Quantum Circuit Compilation
• +2 more

Alexandru Paler serves as an Associate Professor in the Department of Computer Science at Aalto University, Finland, where he leads research in quantum software development. His work focuses on designing compilers and optimization frameworks for quantum circuits, with emphasis on quantum error correction implementation and fault-tolerant quantum computing systems. Based in Espoo at Konemiehentie 2, he maintains active research collaborations through the university's quantum computing initiatives. Dr. Paler's research spans quantum circuit compilation, quantum error correction (particularly surface codes and QLDPC codes), and quantum software optimization. His team develops high-performance quantum compilers for neutral atom architectures and modular superconducting systems, addressing critical challenges in resource estimation and fault tolerance. The Quantum Operating Systems (QUANTUM) research group he contributes to explores scalable quantum software frameworks that bridge theoretical algorithms with practical hardware constraints, with significant work on graph-state compilation and reinforcement learning for circuit optimization. Analysis of his 15 most recent publications (2023-2025) reveals concentrated efforts in quantum compiler design, error correction scalability, and hardware-aware quantum software. Key trends include machine learning applications for decoder optimization, novel approaches to measurement-free error correction, and queuing theory models for fault-tolerant circuit analysis. His work consistently addresses the practical barriers to large-scale quantum computing through compiler innovations and resource-efficient circuit design. Dr. Paler actively participates in the Quantum Operating Systems (QUANTUM) research group within Aalto's Department of Computer Science, focusing on Algorithms and Theoretical Computer Science. This team develops quantum software infrastructure for next-generation quantum hardware, with current projects including Pandora (ultra-large-scale circuit compilation), quantum circuit caching mechanisms, and standardized cell approaches for neutral atom systems. Their research directly supports the transition from theoretical quantum algorithms to executable, error-resilient quantum programs.

• Wireless Sensor Networks
• Network Security
• Password Security
• +4 more

Asst. Prof. Dr. İlker Korkmaz is an Assistant Professor at the Department of Computer Engineering within the Faculty of Engineering at Izmir University of Economics. With a PhD in Information Technologies from Ege University (2012), he has held significant administrative roles including Vice Dean (2022–present) and various committee memberships (Bologna Committee, Transfer Evaluation Committees). BSc: Electrical and Electronics Engineering, Ege University (2002) MSc: Computer Science, Ege University (2006) PhD: Information Technologies, Ege University (2012) His research focuses on security in wireless sensor networks , network security protocols , and distributed systems . Recent work includes applying machine learning to medical imaging and developing energy-efficient military surveillance networks . He has contributed to home automation systems , virtual anatomy education platforms , and IoT management architectures . The 2025 article on mushroom classification using machine learning and 2024 medical AI papers demonstrate his expanding interest in healthcare technology applications. Earlier works (2008–2016) established foundational contributions to WSN security, including the influential GTS Attack paper. His best paper award at SENSORCOMM2008 highlights recognition for these contributions. Scientific Awards : Best Paper Award (SENSORCOMM2008) Grants : TUBITAK-funded projects (2007–2023) Advising : Supervised over 10 senior projects (2006–2021) He has led software engineering dual-degree programs (2007–2021) and currently teaches courses from Programming Paradigms to Senior Projects . His technical expertise spans password security, pervasive computing, and fault-tolerant network design.

• Industrial IoT
• Wireless Communications
• Smart Grid
• +5 more

Dr. Sarder Fakhrul Abedin serves as Senior Lecturer in Computer Engineering at Mid Sweden University's Department of Computer and Electrical Engineering since 2021. His research bridges industrial IoT, wireless communications, and AI-driven network optimization with significant contributions to 5G industrial applications and smart grid systems. His educational background includes a B.S. in Computer Science from Kristianstad University (2013) and a Ph.D. in Computer Engineering from Kyung Hee University (2020). During his doctoral studies, he received the President scholarship and conducted research funded by BK21+ and South Korea's Ministry of Science ICT. Research focuses on industrial IoT implementation , 5G network slicing , and AI-driven resource allocation , particularly through deep reinforcement learning and game theory approaches. His work addresses critical challenges in O-RAN architecture, UAV navigation, and edge computing within industrial contexts, with strong emphasis on energy efficiency and reliability. Recent publication trends (2020-2024) reveal increasing focus on 5G industrial deployment (Factory 5G framework), trustworthy AI systems (XAI for intrusion detection), and sustainable network architectures (digital twins for zero-touch management). His collaborative research spans smart transportation, forestry teleoperation, and NOMA-based transmission schemes. President scholarship recipient at Kyung Hee University STINT initiation grant recipient BK21+ and Ministry of Science ICT research funding U.S. Patent No. 10,901,388 for energy demand modeling Korean Patent 1015740260000 for IoT fog networks As Principal Investigator, he has secured multiple research grants including BK21+ projects and Ministry of Science ICT funding. His postdoctoral work at MIUN included STINT-funded initiatives, while current projects focus on sustainable 5G deployments and industrial digital twins. He actively collaborates with industry partners through MIUN's STC Research Centre.

Feng WangView profile

Associate Professor

• Computer Networking
• Wireless Sensor Networks
• Peer-to-Peer Networks
• +7 more

Feng Wang is an Associate Professor in the Department of Computer and Information Science at the University of Mississippi, College of Engineering, specializing in computer networking, wireless sensor networks, and edge computing. He holds a PhD in Computing Science from Simon Fraser University (2012), and BEng and MEng degrees in Computer Science from Tsinghua University (2002, 2005). As an IEEE Senior Member, he has received multiple accolades, including the IEEE INFOCOM Distinguished TPC Member Award (2020) and ACM BuildSys Best Paper Award (2018). Research Interests: His work focuses on Wireless mesh and sensor networks Peer-to-Peer systems Internet of Things (IoT) and edge computing Big data and deep learning in networking Crowdsourcing for smart cities Cyber-physical systems Selected Scientific Awards: IEEE ICME Quality Reviewer Award (2011) ACM BuildSys Best Paper Award (2018) IEEE INFOCOM Distinguished TPC Member Award (2020) Chinese Government Scholarship (2009-2010) Simon Fraser University Fellowships (2005-2011) Professional Service: He served as Program Vice Chair for the International Conference on Internet of Vehicles (IOV’14) and TPC Co-Chair for IEEE CloudCom 2017 (IoT and Mobile on Cloud track). He is a Technical Committee Member for Elsevier Computer Communications and reviews for top-tier journals like IEEE/ACM Transactions on Networking.

Karl HoopesView profile

Associate Professor

• Equine Science
• Veterinary Medicine
• Animal Science
• +4 more

Karl Hoopes is an Associate Professor in the Department of Animal, Dairy, and Veterinary Sciences at Utah State University, serving as the Equine Extension Specialist since August 2015. Previously, he practiced veterinary medicine for 13 years at Valley Veterinary Services in Richmond, Utah, where he was an owner/partner. His work integrates clinical equine expertise with academic research and extension services. His educational background includes: DVM from Colorado State University (2003) BS from the University of Wyoming (2000) Hoopes' research focuses on practical equine health management, with expertise in metabolic disorders, infectious diseases, nutrition, and exercise physiology. His publications bridge veterinary science and real-world horse care, emphasizing preventive strategies and owner education. He maintains active involvement in equine communities through racing and pulling associations. Analysis of his 12 publications (2015-2024) reveals a consistent emphasis on equine health extension materials, particularly fact sheets addressing metabolic syndrome, gastric ulcers, and infectious diseases. A notable 2024 journal article explores trail riding's therapeutic potential for veterans with substance addiction, demonstrating interdisciplinary applications of equine activities. While no graduate students or research grants are explicitly listed, his extension programs indicate significant outreach impact. Hoopes actively participates in equine organizations including the Cache Valley Cutter Racing Association, Utah Horse Pullers Association, and Utah Horse Council, and leads extension initiatives such as Equine Assisted Services and Ride Utah!.

• MPSoC Architecture
• Memory Hierarchies
• Hardware Prefetching
• +3 more

Oliver Lenke is a Scientific Assistant at the Chair of Integrated Systems , Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology . He completed his Bachelor’s (2015-2018) and Master’s (2018-2020) in Electrical Engineering at TUM and has been a PhD student since 2020 . His research focuses on MPSoC architectures , memory hierarchies , hardware preloading mechanisms , and FPGA-based system prototyping . His recent publications address topics like near-memory computing , cache prefetching , and runtime adaptive MPSoCs . He supervises students in projects involving VHDL coding , C programming , and MPSoC optimization , collaborating with industry partners such as Infineon AG , BMW AG , and Huawei . His work includes developing non-intrusive performance monitoring frameworks and dynamic memory preloading solutions .

• Computer Architecture
• Operating Systems
• Hardware/Software Co-Design
• +3 more

Lars Nolte is a Researcher at the Chair of Integrated Systems (Lehrstuhl für Integrierte Systeme) at the Technical University of Munich, where he conducts cutting-edge research in computer architecture and operating systems with a focus on hardware acceleration for Linux kernel mechanisms using FPGA platforms. His primary research areas include Computer Architecture, Operating Systems, Hardware/Software Co-Design, Embedded Systems, FPGA Acceleration, and Linux Kernel Development. He investigates hardware-assisted solutions for inter-process communication, event notification, and thread synchronization to reduce latency in real-time systems, primarily through the PASSTA project which develops FPGA-based accelerators for Linux syscall optimization. Nolte's recent publications demonstrate a clear trend toward hardware-software co-design for Linux performance enhancement, with 10 publications since 2019 focusing on FPGA-accelerated kernel features like futex, epoll, and IPC. His work bridges computer architecture and systems software, targeting embedded and high-performance computing applications. He actively supervises student research, having guided numerous Bachelor's, Master's, and research internships on topics including hardware-accelerated Linux mechanisms, network processing, and tracing systems. Notable advisees include Maximilian Grözinger (Hardware Assisted Futex) and Jonas Kirf (Inter-Process Communication survey). The Chair of Integrated Systems, led by Prof. Andreas Herkersdorf, provides Nolte's collaborative research environment focused on integrated systems for cellular communications and embedded applications, with facilities including FPGA labs and Gem5 simulation infrastructure.

Timo HönigView profile

Professor

• Operating Systems
• Energy Efficiency
• Computer Security
• +3 more

Timo Hönig is a Professor and Head of the Chair for Operating Systems and System Software at the Faculty of Computer Science, Ruhr-University Bochum. His research focuses on energy efficiency, persistent memory systems, computer security, and system software design. Current projects include DFG-funded SUSTAINET-inNOvAte and DOSS , with former projects like InvasIC (DFG/Transregio 89) and Antillas (BMBF/VDI). He serves on program committees for HotCarbon, DIMES, DSN, DATE, and other conferences. His recent publications address energy profiling, carbon-aware memory placement, kernel security, and persistent OS design. He has received best paper awards at SBESC'22 and ISORC'17. Scientific Awards: Best Paper at SBESC'22 Best Paper at ISORC'17 His teaching includes courses on operating systems, resource-efficient systems, and energy-aware computing. He has advised numerous research collaborations on embedded systems, concurrency, and sustainable computing.

Tor AamodtView profile

Professor

• Computer Architecture
• GPU Architecture
• Deep Neural Networks
• +4 more

Tor Aamodt is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia within the Faculty of Applied Science. He has been a faculty member at UBC since 2006 and maintains an active research program in computer architecture with a focus on GPU systems. His academic journey includes a BASc, MASc, and PhD from the University of Toronto, followed by industry experience at NVIDIA where he worked on the memory system architecture of the GeForce 8 Series GPU. Professor Aamodt's research spans computer architecture with particular expertise in accelerators for deep neural networks and graphics processor unit architecture for non-graphics computing. His work has evolved from foundational GPU architecture research to cutting-edge applications in ray tracing, robotics acceleration, and energy-efficient computing. He has made significant contributions to understanding GPU memory systems, interconnect architectures, and the application of GPUs to machine learning workloads. His research group has developed influential tools including the first widely used GPGPU architecture simulator and the Vulkan-Sim ray tracing simulator. His recent publications reveal a strong trend toward real-time ray tracing acceleration and robotics applications, with substantial work on optimizing tree traversal algorithms for ray tracing workloads. The research shows a clear evolution from general GPU architecture studies to specialized hardware-software co-design for specific application domains, particularly in rendering and robotics. His group consistently publishes at top-tier architecture venues including MICRO, ISCA, and ASPLOS. IEEE Micro Top Picks (3 papers) Communications of the ACM Research Highlight MICRO Conference Hall of Fame NVIDIA Academic Partnership Award (2010) NSERC Discovery Accelerator (2016-2019) Google Faculty Research Award (2016) SAMSUNG Global Research Outreach Award (2023) IISWC 2023 Best Paper Award Professor Aamodt has advised numerous graduate students who have gone on to positions at leading technology companies including Google. His research has been supported by major grants from NSERC, NVIDIA, Google, and Samsung. He has served in leadership roles including Program Chair for ISPASS 2013 and General Chair for ISPASS 2014, and was a Visiting Associate Professor at Stanford University during his 2012-2013 sabbatical. His group maintains active collaborations with industry partners and has produced influential open-source tools including GPGPU-Sim and Vulkan-Sim.

• Semantic Web
• RDF Data Management
• Knowledge Graphs
• +5 more

Olivier Curé is a faculty member affiliated with Université Paris Est in France, specializing in semantic web technologies and knowledge engineering. His research focuses on distributed RDF processing, knowledge graph management, and edge computing adaptations of semantic technologies. Research Focus: Dr. Curé leads significant work in RDF stream processing systems (Strider engine), knowledge graph compression (LiteMat encoding), and privacy-preserving semantic data management. His recent work explores edge computing adaptations of knowledge graphs, real-time stream reasoning, and distributed SPARQL query processing. Key innovations include privacy frameworks for RDF anonymization and resource-efficient knowledge representation for IoT environments. Publication Trends: His 15 most recent publications (2020-2025) demonstrate a strong focus on: 1) Scalable RDF processing architectures, 2) Knowledge graph optimization for edge devices, 3) Privacy-enhancing techniques for semantic data, and 4) Distributed reasoning systems. This reflects an evolution from foundational RDF storage research toward adaptive, privacy-aware semantic systems for decentralized computing. Research Infrastructure: Dr. Curé contributes to multiple open-source projects including Strider (distributed RDF processing) and ZodiacEdge (Datalog engine), indicating leadership in semantic technology tooling development.

Zhishan GuoView profile

Associate Professor

• Real-Time Scheduling Theory
• Machine Learning Theory
• Cyber-Physical Systems
• +5 more

Zhishan Guo is an Associate Professor in the Department of Computer Science at North Carolina State University, affiliated with the College of Engineering and the Operations Research Graduate Program. His research bridges real-time scheduling theory, machine learning theory, and cyber-physical systems. Ph.D., Computer Science, UNC-Chapel Hill (2016) M.Phil., Mechanical and Automation Engineering, The Chinese University of Hong Kong (2011) B.E., Computer Science and Technology, Tsinghua University (2009) Guo's work spans embedded and real-time systems, parallel/distributed systems, and healthcare information technology, with a focus on integrating machine learning into real-time scheduling and cyber-physical systems. Recent publications highlight advancements in neural network-based scheduling, adversarial defense mechanisms, and healthcare diagnostics for embedded systems. His scientific honors include the ACM SIGBED CAREER Award (2023), Best Paper Awards at RTSS (2023), ICIST (2023), and RTAS (2025), alongside the Humboldt Fellowship (2024). Guo's research is supported by grants from the National Science Foundation and NHK International Corporation, addressing scalable heterogeneous computing and intelligent robotics.

Eman RamadanView profile

Lecturer

• Networking
• Edge and Cloud Computing
• Artificial Intelligence/Machine Learning (AI/ML) for Networked Systems
• +6 more

Eman Ramadan is a Lecturer and Research Associate at the University of Minnesota 's Computer Science and Engineering Department , collaborating with Professor Zhi-Li Zhang at the UMN Networking Lab . She co-leads the Computer Networking, Mobile, and AI Research Lab , focusing on 5G/NextG mobile networking, autonomous vehicles, content distribution networks, resilient routing, and software-defined networking. PhD in Computer Science (2022), MSc in Computer Science (2014), MSc in Computer Engineering (2012), BSc in Computer Engineering (2008) – all from University of Minnesota or Alexandria University Her research explores 5G network performance, particularly mmWave throughput prediction, carrier aggregation implications, and roaming challenges in the European Union. Current projects include developing AI/ML algorithms for intelligent network infrastructures and enhancing SDN resilience through the Taproot framework. Recent publications (2024-2022) demonstrate significant advancements in 5G network analysis, caching optimization, and network-application integration. She has secured NSF funding as Co-PI for xGTracker platform (2023-2025), and holds a provisional patent for 5G throughput prediction. Recipient of CSE Postdoctoral Award for DEI Leadership (2023) Best paper awards at SIGCOMM NetAIM (2018) and APNet (2017) Travel grants including ACM SRC (2018), GENI (2014), and CRA-W (2014) She actively contributes to diversity initiatives, serving as chair of CS-IDEA committee and member of CSE Diversity & Inclusivity Alliance . Her work bridges theoretical research with practical implementation across multiple domains.

• Cloud Computing
• Evolutionary Computation
• Artificial Intelligence
• +7 more

Dr Hui Cheng is a Senior Lecturer in the School of Computer Science at the University of Hertfordshire. His research focuses on cloud computing, artificial intelligence, and network systems, with a strong emphasis on the Internet of Things (IoT) and software-defined networking (SDN). PhD in Computer Science from The Hong Kong Polytechnic University (2007) MSc in Computer Science from Northeastern University, China (2004) BSc in Computer Science from Northeastern University, China (2001) Dr Cheng’s work bridges theoretical and applied computer science, particularly in IoT security , multi-robot coordination , and network virtualization . His publications highlight innovations in trust models for IoT, adaptive caching strategies, and open routing frameworks. His recent articles explore IoT trust management , cloud robotics , and SDN/NFV architectures , reflecting trends in secure and scalable networked systems. He contributes to the Networks and Security Research Centre and Centre for AI and Robotics Research. 2021: Multi-robot environmental monitoring with virtual force schemes 2021: Dynamic trust models for IoT service composition 2019: Collaborative trust frameworks for IoT applications 2019: Open routing-as-a-service (RaaS) architectures 2018: Big data-driven adaptive caching in information-centric networks

Stephen HiggsView profile

Professor

• Vector Biology
• Infectious Diseases
• Immunology
• +7 more

Stephen Higgs is a Professor at the College of Veterinary Medicine , Kansas State University . He holds the Peine Professor of Biosecurity and University Distinguished Professor titles, serving as Associate Vice President for Research and Director of the Biosecurity Research Institute (BRI) . His career spans vector biology, vaccine development, and biosecurity research. Education: B.Sc., Zoology (Hons), 1980, King’s College London Ph.D., Parasitology, 1985, University of Reading Research interests include mosquito-virus-vertebrate interactions , focusing on arboviruses like chikungunya , Zika , and Japanese encephalitis . Key contributions involve infectious clone development , vaccine evaluation , and immunomodulatory effects of mosquito saliva . Collaborations with NIH, Gates Foundation, and pharmaceutical companies have driven his work. Scientific trends in his publications highlight arbovirus transmission dynamics , biocontainment protocols , and vaccine platform innovations (e.g., virus-like particles, DNA vaccines). Scientific Honors: Fellow, Royal Entomological Society (1992) Fellow, American Society for Tropical Medicine and Hygiene (2012) Sanofi Pasteur Award for dengue vaccine R&D Bailey K. Ashford Memorial Lecturer (51st) As Editor-in-Chief of Vector-Borne & Zoonotic Diseases and past-president of ASTMH, he has shaped global research standards. The BRI under his leadership supports transitioning Plum Island research to NBAF and training the next generation in biosecurity.