جستجوی استاد راهنمای دانشگاهی

• Fluid Dynamics
• Offshore Engineering
• Hydrodynamics
• +۵ مورد دیگر

Dr. Feifei Tong is a Senior Lecturer at the School of Architecture and Civil Engineering, University of Adelaide, within the Faculty of Sciences, Engineering, and Technology. Their research focuses on fluid dynamics, offshore engineering, and hydrodynamics, with particular emphasis on subsea cable stability, flood resilience, and numerical modeling of marine systems. Dr. Tong has supervised multiple Masters and PhD students and is eligible to discuss supervision opportunities. Research interests include flow-structure interactions, vortex dynamics, and the hydrodynamics of offshore infrastructure. Recent work addresses challenges in subsea power cable design, filter unit optimization for cable protection, and flood-resistant amphibious housing. Dr. Tong has secured significant funding from organizations like Aurora Offshore Engineering, SCU Seed Schemes, and the Australian Research Council. Key publications (2023-2025) explore wake dynamics, cylinder oscillation effects, and hydrodynamic forces in marine environments. Grants include projects on HVDC cable bundles, flood prediction systems, and nature-based solutions for flood resilience. Professional roles include committee memberships with Engineers Australia and coordination of the Master of Engineering Management program at Southern Cross University.

Kristjon Cikoمشاهده پروفایل

پژوهشگر ارشد

• Network Architecture
• Distributed Systems
• Recursive InterNetwork Architecture (RINA)
• +۳ مورد دیگر

Kristjon Ciko is a Research Fellow at the University of Oslo's Faculty of Mathematics and Natural Sciences, affiliated with the Department of Informatics under the Networks and Distributed Systems group. His work focuses on advancing network architectures and distributed systems. Research Interests: Ciko's research spans network architecture, particularly Recursive InterNetwork Architecture (RINA), congestion control mechanisms, and energy-efficient computing. His studies address challenges in next-generation network design, throughput optimization, and sustainable computing systems. Publications: Recent work includes innovations in energy efficiency for throughput computing, software-based server energy management, and congestion control solutions for datacenter networks. His research bridges theoretical advancements with practical implementations.

Jun Xuمشاهده پروفایل

استاد

• Computer Networking
• Cloud Computing
• Randomized Algorithms
• +۳ مورد دیگر

Jun (Jim) Xu is a Professor in the School of Computer Science at Georgia Institute of Technology. His research focuses on Network Algorithmics, particularly high-speed router design, firewalls, and measurement devices. He holds the ACM Distinguished Scientist title since 2010 and received the ACM Sigmetrics 2004 Best Student Paper Award. His work spans computer networking, cloud computing, randomized algorithms, and data center optimization. Research interests include network algorithm design, load balancing, and efficient switching algorithms. Notable contributions include MP-RW-LSH for nearest neighbor search and LESS for hybrid data center switching. His publications also explore interdisciplinary topics like metallic composites and social network analysis. Key awards include the ACM Sigmetrics Best Student Paper (2004) and ACM Distinguished Scientist recognition (2010). His work bridges theoretical algorithms with practical network systems, emphasizing scalability and efficiency in distributed environments.

Alexandru Iosupمشاهده پروفایل

استاد

• Benchmarking
• Cloud Computing
• Serverless Computing
• +۳ مورد دیگر

Prof. Alexandru Iosup is a Full Professor at Vrije Universiteit Amsterdam, affiliated with the Faculty of Science (Department of Computer Systems), Network Institute, and Massivizing Computer Systems. He specializes in distributed systems, cloud computing, and performance engineering. His work focuses on benchmarking, serverless computing, and sustainable data center operations. Academic Roles: Full Professor in Computer Systems, Network Institute, and Massivizing Computer Systems. Research Interests: Cloud computing, serverless systems, data center risk analysis, and large-scale graph processing. His research spans 197 publications, emphasizing empirical studies of cloud services, data center management frameworks (e.g., RADiCe, FAILS), and sustainability in computing. Notable achievements include the Royal Dutch Young Academy induction (2016) and Netherlands ICT Research Award (2016). Current projects include leading the Extreme and Sustainable Graph Processing initiative, aiming to address societal challenges through scalable graph analytics. He teaches courses like Honours Research Projects and Distributed Systems.

Balaji Prabhakarمشاهده پروفایل

استاد

• Computer Networks
• Data Center Networks
• Societal Networks
• +۵ مورد دیگر

Balaji Prabhakar is a Professor of Electrical Engineering and Computer Science at Stanford University. He holds the VMware Founders Professorship in Computer Science and is affiliated with the School of Engineering. His research focuses on computer networks, including data center networks, societal networks (transportation, energy, recycling), and network algorithms. He has pioneered congestion control mechanisms like QCN and DCTCP, and developed incentive systems to reduce traffic congestion through behavioral 'nudges.' Prabhakar's work integrates principles from computer networks with societal infrastructure challenges. Key areas include energy-efficient transmission, randomized algorithms for scheduling, and network measurement architectures like Counter Braids. He has received numerous accolades, including the IEEE Innovation in Societal Infrastructure Award and the Rollo Davidson Prize. His teaching includes courses on probabilistic systems analysis, network algorithms, and incentive mechanisms. Current and former students have contributed to foundational work in data center networking and societal infrastructure optimization. His lab collaborates with industry partners like VMware and Infosys, applying theoretical insights to real-world systems.

Manya Ghobadiمشاهده پروفایل

دانشیار

• Computer Networks
• Machine Learning Systems
• Cloud Infrastructure
• +۴ مورد دیگر

Manya Ghobadi is an Associate Professor in the Department of Electrical Engineering and Computer Science at MIT, affiliated with the Computer Science & Artificial Intelligence Laboratory (CSAIL). Her research focuses on efficient systems for machine learning, cloud infrastructure, and reconfigurable networks. She holds appointments in both the School of Engineering and the Department of EECS at MIT. Education: PhD from the University of Toronto, prior experience at Microsoft Research and Google before joining MIT. Research Interests: Systems for ML, cloud infrastructure, data center networks, optical networks, hardware-software co-design, and network optimization. Publications: Over 50+ papers in top venues including SIGCOMM, NSDI, HotNets, and MLSys, with awards such as the NSF CAREER and Sloan Fellowship. Students: Advises 10+ PhD candidates including Mingran Yang (Microsoft Research Fellow) and Sudarsanan Rajasekaran. Awards: Sloan Fellowship, ACM SIGCOMM Rising Star, Optica Simmons Memorial Speakership. Labs/Teams: Leads research on photonic computing (NetBlocks, Lightning) and network optimization (Cassini, TopoOpt). Collaborates with industry partners like Juniper and Google.

Dean M. Tullsenمشاهده پروفایل

استاد

• Computer Architecture
• Multithreading
• Multicore Processors
• +۷ مورد دیگر

Dean M. Tullsen is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego. He leads the High Performance Processor Architecture and Compilation Lab and focuses on computer architecture, particularly multithreading, multicore processors, secure execution, and energy-efficient design. His research bridges hardware and software for parallel computing, security, and resource optimization. Education: Ph.D. from the University of Washington (1996), B.S. and M.S. from UCLA. Research Interests: Computer architecture, multithreading, speculative execution, hardware security, energy efficiency, and heterogeneous computing. Scientific Awards: Best Paper Awards at USENIX Security Symposium (2024), IEEE S&P (2023), and Distinguished Paper Awards at POPL (2021), ASPLOS (2023), plus the 2020 ACM SIGARCH/IEEE-CS TCCA Influential ISCA Paper Award. Students: Advised 30+ graduate students, including Craig Disselkoen, Mohammadkazem Taram, and Ashish Venkat, who now hold positions at Google, Microsoft, and academia. Lab: Leads the High Performance Processor Architecture and Compilation Lab, advancing techniques in secure execution and parallel computing.

Jason Marsمشاهده پروفایل

استاد

• Computer Architecture
• Warehouse-Scale Computing
• Machine Learning Systems
• +۳ مورد دیگر

Jason Mars is a Professor at the University of Michigan's Department of Electrical Engineering and Computer Science, leading the Clarity-Lab. His research focuses on cross-layer architectures and runtimes for future computing systems, particularly in warehouse-scale computers. He has pioneered projects like Sirius (an open voice/vision personal assistant), Protean Code (dynamic code transformations), and Adrenaline (tail latency management). His work addresses challenges in energy efficiency, resource allocation, and performance optimization in large-scale systems. Key contributions include architectural designs for AI services, thermal management strategies, and compiler techniques for approximate computing. Mars collaborates with industry leaders like IBM and has advised numerous students who have published at top conferences such as ASPLOS and HPCA. Recent research spans AI ethics, scalable programming models (e.g., Data Spatial Programming), and edge-cloud collaboration frameworks like Neurosurgeon. He has delivered invited talks at Baidu, IBM Watson, and conferences worldwide, emphasizing the societal impact of computing systems.

Stephan Olariuمشاهده پروفایل

استاد

• Vehicular Ad Hoc Networks (VANETs)
• Cybersecurity
• Telemedicine
• +۴ مورد دیگر

Stephan Olariu is a Professor of Computer Science at Old Dominion University (ODU), affiliated with the College of Sciences. He holds a Ph.D., M.Sc., and B.S. in Computer Science from McGill University (1982–1986). His research focuses on vehicular ad hoc networks (VANETs), cybersecurity, telemedicine, and vehicular cloud computing. He has led projects like TRENDS, a cyber-physical system for traffic event detection, funded by ODU (2011). Dr. Olariu's work emphasizes vehicular networks' security and efficiency, including solutions for VANETs, UAV-based medical supply delivery, and blockchain-driven decentralized marketplaces. He explores smart city technologies, such as traffic optimization and environmental impact reduction. His recent publications address topics like drone coordination for surveillance, trust frameworks in blockchain systems, and UAV applications in counterterrorism. Grants: TRENDS (2011) and others focused on vehicular systems and telemedicine. Key Themes: Vehicular cloud computing, cybersecurity, UAV systems, and smart infrastructure. His contributions span academic leadership in computer science, with a focus on translating theoretical research into real-world applications like emergency response systems and resilient decentralized platforms.

Haonan Luمشاهده پروفایل

استادیار

• Distributed Systems
• Databases
• Concurrency Control
• +۳ مورد دیگر

Haonan Lu is an Assistant Professor in the Department of Computer Science and Engineering at the University at Buffalo (School of Engineering and Applied Sciences). His research focuses on distributed systems and databases, with particular emphasis on concurrency control, transaction processing, and database performance optimization. He holds a PhD in Computer Science from the University of Southern California (2019). Education: PhD, Computer Science, University of Southern California, 2019 Dr. Lu's work addresses challenges in distributed database systems, including optimizing skewed workloads, concurrency control mechanisms, and cross-datacenter storage efficiency. His recent projects explore latency-optimal read transactions and natural concurrency control (NCC) frameworks. He actively publishes in top-tier conferences and maintains an open research website and Google Scholar profile. Awards: No awards explicitly listed in provided materials. Advising and Grants: No specific advising records or grant information provided in the text. His research is likely supported through standard academic funding channels. Labs/Teams: No dedicated lab or team structure explicitly described in the provided content.

Jacob Hochstetlerمشاهده پروفایل

استادیار بالینی

• Connected and Autonomous Vehicles
• Data Storage Systems
• Edge Computing
• +۳ مورد دیگر

Jacob Hochstetler is a Clinical Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas. His research focuses on advanced computing architectures for connected autonomous vehicles, data storage systems reliability, and edge computing applications in mixed reality environments. Key research areas include vehicular networks, SSD performance optimization, ZFS-based data protection, and low-latency data sharing protocols. His work bridges theoretical computer science with practical implementations in urban smart systems and embedded deep learning for vehicular edge computing. Publications span topics from quad-level cell SSDs to police patrol optimization in smart cities, demonstrating cross-disciplinary engagement with both technical and societal challenges. No awards or grants are explicitly listed in the provided materials. No formal advisees are recorded, though his research areas suggest potential for collaborative projects in automotive systems and data center reliability.

• Computer Architecture
• Distributed Systems
• Cloud Computing
• +۵ مورد دیگر

Randy H. Katz is a distinguished Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley's College of Engineering. With an extensive publication record spanning over two decades, he has established himself as a leading researcher in computer systems, distributed computing, and energy-efficient architectures. His work bridges theoretical foundations with practical implementations in cloud computing, networking, and smart infrastructure systems. Professor Katz's research interests span a broad spectrum of computer systems topics, with particular emphasis on energy-efficient computing, distributed systems design, and infrastructure for emerging applications. His work on FireSim represents a major contribution to FPGA-based system simulation, while his research on energy-aware datacenters and smart grids addresses critical sustainability challenges in computing infrastructure. He has pioneered approaches in serverless computing, blockchain systems, and mobile augmented reality that balance performance with energy constraints. Analysis of Professor Katz's recent publications reveals a strong focus on hardware-software co-design for emerging computing paradigms. His work consistently addresses the tension between performance and energy efficiency across multiple domains including cloud infrastructure, smart buildings, and mobile systems. A notable trend is his focus on making complex systems more accessible and manageable through innovative abstractions like FireSim for hardware simulation and Cirrus for serverless machine learning workflows. Scientific Awards: IEEE James H. Mulligan, Jr. Education Medal (2010) - Recognizing his exceptional contributions to engineering education Professor Katz has advised numerous PhD and Master's students who have gone on to influential positions in both academia and industry. His research has been supported by major grants from NSF, DARPA, and industry partnerships with leading technology companies. His work on Mesos, a cluster resource management system, has had significant industry impact, and his energy-efficient computing research has informed datacenter design practices across the industry. His research group at UC Berkeley has been instrumental in developing frameworks like FireSim for hardware acceleration and FirePerf for performance profiling. These tools have become important resources for the computer architecture community, enabling researchers to explore new hardware designs with unprecedented efficiency. His work on smart buildings through projects like SnapLink demonstrates his commitment to applying computing research to solve real-world sustainability challenges.

Hassan Chizariمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Randomness Extraction
• Cryptography
• +۵ مورد دیگر

Hassan Chizari is a Senior Lecturer and Academic Course Leader for the MSc Cyber Security program at the University of Gloucestershire. He leads the Cisco Network Academy and manages the Cisco Lab, teaching networking and advanced cybersecurity topics. His research focuses on randomness extraction in physiological signals for cryptographic applications, funded by InnovateUK. He has published over 40 peer-reviewed articles and supervised 20+ postgraduate students. Chizari holds a BSc in Computer Hardware (Shiraz University, 1999), MSc in Artificial Intelligence and Robotics (Shiraz University, 2003), and PhD in Networking (Universiti Teknologi Malaysia, 2011). His work has earned awards including Gold Medals at Malaysia Technology Expo (2016) and Malaysian Research Conference (2015), and Bronze Medals for innovations like Indoor Air Quality Monitoring and Smart Environment Monitoring. His research bridges cybersecurity, bio-inspired algorithms, and IoT infrastructure. Recent work includes cryptographic key extraction from ECG signals and energy-efficient cloud resource allocation using nature-inspired techniques. He collaborates with Crossword Company to commercialize physiological signal-based security solutions. His teaching spans undergraduate to postgraduate levels, emphasizing practical lab work and industry-relevant skills. Awards and recognitions include multiple medals for innovations in environmental monitoring and sensor networks. His grants include InnovateUK funding for medical device security. Chizari’s advising focuses on cybersecurity, networking, and bio-inspired systems, contributing to over 20 completed theses. He actively explores green computing, wireless sensor networks, and resilient critical infrastructure frameworks. Chizari’s research group develops secure IoT applications and trustworthy smart systems, addressing challenges in data privacy, anomaly detection, and energy efficiency. Current projects aim to integrate bio-signals into cryptographic protocols and optimize cloud/fog computing infrastructure for sustainability.

Panagiota Nikolaouمشاهده پروفایل

مدرس

• Computer Architecture
• Fault Tolerance
• Edge and Cloud Deployments
• +۷ مورد دیگر

Panagiota Nikolaou is a Lecturer in Computer Engineering and Course Leader of the BEng (Hons) Computer Engineering program at the School of Sciences, UCLan Cyprus. She holds a PhD in Computer Science from the University of Cyprus (2020), along with MSc and BSc degrees in Computer Science from the same institution. Her research focuses on computer architecture, fault tolerance, edge/cloud deployments, memory reliability, power optimizations, and intelligent vehicles. She has held roles including Research Associate at the KIOS Research and Innovation Center of Excellence and Lecturer at Alexander College. Her teaching responsibilities include Digital Electronics, Probability Theory for Engineers, and Engineering Professionalism. She has extensive research experience in EU-funded projects such as SESAME (Horizon 2020) and UNISERVER, addressing topics like reliability in embedded systems and energy-efficient computing. Her publications span domains like UAV reliability, real-time forest fire detection, and cost analysis of edge vs. cloud deployments. Notable awards include the Best Poster Award at the 2020 SERESSA conference. She actively participates in academic activities, including serving as Program Chair for the VLSI-SoC conference (2026) and roles in IEEE committees. Her research grants include leadership in projects like CERCIRAS (2020–2024) and participation in Horizon 2020 initiatives. She emphasizes interdisciplinary collaboration, bridging hardware reliability, software optimization, and real-world applications in critical systems.

• Computational Sustainability
• Cloud Computing
• Edge Computing
• +۳ مورد دیگر

Ivona Brandic is a Full Professor of High Performance Computing Systems at TU Wien's Institute of Information Systems Engineering, leading the HPC Research Group. She specializes in Computational Sustainability, Cloud/Edge Computing, and Quantum-Classical Systems. Her roles include Head of the Computational Sustainability Research Unit and membership in TU Wien's Faculty Council. She teaches courses such as AI/ML in Climate Change and Hybrid Quantum-Classical Systems. Her research focuses on sustainable IT, energy-efficient systems, and hybrid quantum-classical workflows. Projects include computational sustainability initiatives funded by the Austrian Science Fund (FWF) and industry partnerships like the Virtual Shepherd project. She has contributed to over 50 publications, emphasizing edge computing, quantum algorithms, and HPC optimization. Notable contributions include developing frameworks like RIGOLETTO for hybrid scientific workflows and FRESCO for edge offloading. Her work bridges theoretical advancements with practical applications in environmental monitoring and energy efficiency.