جست‌وجوی استاد و پژوهشگر

Martin Hildebrandمشاهده پروفایل

استاد

• Probability on finite groups
• Combinatorics
• Random Walks
• +۶ مورد دیگر

Martin Hildebrand is a Professor in the Department of Mathematics & Statistics at the University at Albany. His research focuses on Probability on finite groups and Combinatorics . Contact: Hudson 247A, (518) 442-4016, mhildebrand@albany.edu Courses: Spring 2025: Mathematics 367 (Discrete Probability), 468/555 (Mathematical Statistics). Fall 2025: Mathematics 403 (Actuarial Mathematics), 467/554 (Mathematical Statistics), 469 (Actuarial Exam P Preparation). His publications analyze random processes on finite groups, including Markov chains , random walks , and Chung-Diaconis-Graham processes , with applications in probability theory and combinatorics. Recent work (2022) explores symmetrized random processes, while earlier studies (2000-2014) address packing density, log-concavity, and convergence rates of random walks.

• Wireless Communications
• Public Safety Communications
• Cybersecurity
• +۳ مورد دیگر

Phoenix Fang is an Assistant Professor in the Computer Science and Software Engineering Department at California Polytechnic State University (Cal Poly San Luis Obispo). She is also affiliated with the Computer Engineering Program. Her research focuses on wireless communications, public safety communications, cybersecurity (including 5G, IoT, and critical infrastructure security), and privacy preservation. She teaches courses such as Intro to Computer Security and Wireless Security. Education: PhD in Electrical and Computer Engineering, University of Nebraska-Lincoln (2019) MS in Mechatronic Engineering and Automation, Shanghai University (2014) BS in Astronautics, Harbin Institute of Technology (2011) Her research projects include improving communication energy efficiency in public safety systems, enhancing 5G security with privacy preservation, and developing schemes for IoT device protection. She has published extensively in journals like Ad Hoc Networks and conferences such as IEEE ICC and VTC. Phoenix emphasizes hands-on cybersecurity education for diverse students and collaborates on interdisciplinary projects involving smart grids and cyber-physical systems.

Alexandra Jimboreanمشاهده پروفایل

دانشیار

• Compiler Design
• Hardware-Software Co-Design
• Code Optimization
• +۵ مورد دیگر

Alexandra Jimborean is a Ramón y Cajal researcher at the University of Murcia and affiliated Associate Professor at Uppsala University. She holds a PhD from the University of Strasbourg and specializes in compile-time code analysis, optimization, and software-hardware co-designs for performance and energy efficiency. Research focuses on: Instruction prefetching and speculative execution mechanisms Compiler-assisted code optimization techniques Hardware-software co-design for secure and efficient processors Dynamic program analysis frameworks Significant contributions include the development of the DAEDAL and Clairvoyance compiler technologies, commercialized through the EtaScale startup. Holds leadership roles in major conferences including Program Chair for CGO 2019 and CC 2020.

Bijan Jabbariمشاهده پروفایل

استاد

• Wireless Networks
• 5G and LTE Systems
• IoT
• +۵ مورد دیگر

Bijan Jabbari is a Professor in the Department of Electrical and Computer Engineering at George Mason University, affiliated with the Volgenau School of Engineering. He holds a PhD from Stanford University and has dual MS degrees in Electrical Engineering and Engineering Economics from Stanford, along with a BS from Arya-Mehr University. His research focuses on wireless networks, IoT, machine learning applications in networking, and cognitive networks. Notable contributions include work on LTE/5G systems, edge computing, and spectrum management. He has led projects funded by the National Science Foundation, Naval Research Laboratory, and KDDI Corporation. Jabbari is a Fellow of IEEE and IET, recipient of the IEEE Third Millennium Medal, and has pioneered initiatives like the Heart’s Delight charity event. Jabbari teaches graduate courses including ECE 528 (Random Processes), ECE 642 (Computer Network Design), and ECE 629 (Wireless Networks). He directs the Communications and Networks Laboratory and collaborates with Telecom ParisTech. His work emphasizes resilient network design, cross-layer protocols, and machine learning-driven optimization in telecommunications. Research Grants: Secure MAC Layer Protocols (NRL, 2016–2018) Cross-Layer Resilient Networking (NRL, 2012–2015) Network Virtualization (KDDI, 2010) Awards: Washington DC Engineer of the Year Award GMU Outstanding Faculty Research Award Labs/Teams: Communications and Networks Lab (CNL) at GMU Collaborations: Telecom ParisTech (France)

• Computer Operating Systems
• Computer Simulation/Modeling
• Computer Systems Analysis
• +۳ مورد دیگر

Elizabeth Varki is an Associate Professor and Graduate Program Coordinator in the Department of Computer Science at the University of New Hampshire's College of Engineering and Physical Sciences. Her research focuses on computer operating systems, simulation/modeling, and systems analysis. She holds a Ph.D. in Computer Science from Vanderbilt University and multiple advanced degrees from the University of Delhi and Villanova University. Her work emphasizes performance evaluation of computing systems, storage optimization, and parallel systems design. Key research contributions include innovative approaches to storage positioning (GPSonflow), RAID systems (RAIDX), and cache prefetching techniques. Her teaching spans courses like Operating System Fundamentals, Database Systems, and Distributed Systems. Varki's publications span ACM Transactions, IEEE journals, and major conferences in performance evaluation and storage systems. Her advising and grants focus on advancing storage and distributed systems research, though specific grant details are not provided here. She is affiliated with the UNH's Computer Science department and contributes to interdisciplinary efforts in computational performance analysis.

Michael Horschمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Reasoning Under Uncertainty
• Constraint Satisfaction
• +۳ مورد دیگر

Dr. Michael Horsch is a retired Associate Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on Artificial Intelligence, Reasoning Under Uncertainty, Constraint Satisfaction, and Machine Learning. He has contributed to bioinformatics through the P2IRC sub-theme, linking genotype and environment to phenotype using computational methods. Education: PhD (Computer Science, UBC, 1998), M.Sc. (Computer Science, UBC, 1990), B.Sc. (Computer Science & Physics, University of Toronto, 1988). Postdoctoral work at Simon Fraser University (2000). Research interests emphasize practical AI applications, including Bayesian networks, constraint satisfaction algorithms, and machine learning. His work bridges theoretical foundations and real-world problems, such as path planning and sensor optimization. Teaching highlights include courses on AI (CMPT 317), programming (CMPT 145), and machine learning (CMPT 423/820). He revised first-year curricula to improve student accessibility, replacing C++ with more user-friendly languages. Recognized for teaching excellence with the 2014 Provost’s Award. Publications span constraint satisfaction, probabilistic reasoning, and Bayesian networks, with notable contributions to algorithm design and optimization.

• Edge Computing
• Satellite Communications
• Network Virtualization
• +۳ مورد دیگر

Haffay ABREHA is a Doctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), within the SigCom department. His research focuses on advanced networking technologies, including edge computing, satellite communications, and federated learning. He holds a strong interest in network virtualization, resource management, and optimizing mission-critical applications in distributed systems. Contact: haftay.abreha@uni.lu Research Interests: ABREHA’s work spans satellite edge networks, federated learning frameworks, fog computing monitoring, and resource-aware caching strategies. He explores how machine learning can enhance adaptive systems and improve network reliability in dynamic environments. Recent studies emphasize fairness-aware VNF scheduling, SDN/NFV integration, and optimizing content delivery in multi-layer satellite architectures. Labs/Teams: Active member of the SigCom research group at SnT, contributing to interdisciplinary projects on secure and reliable communication systems.

Xenofontas Dimitropoulosمشاهده پروفایل

دانشیار

• Internet Measurements
• Software Defined Networks
• Wireless Networks
• +۳ مورد دیگر

Xenofontas Dimitropoulos is an Associate Professor at the University of Crete's Computer Science Department and Affiliated Researcher at Foundation for Research and Technology Hellas (FORTH), where he leads the INSPIRE research group focusing on Internet security, privacy, and intelligence. His research examines software defined networks, Internet measurements, and cybersecurity frameworks. Education: PhD in Electrical and Computer Engineering, Georgia Institute of Technology (2006) MSc in Electrical and Computer Engineering, Georgia Institute of Technology (2002) BS in Physics, Aristotle University of Thessaloniki (2001) His research focuses on developing novel approaches to Internet routing security, privacy-preserving network monitoring, and SDN-based infrastructure optimization. Recent work explores BGP hijacking mitigation, IXP architectures, and mobile edge caching systems. Publications demonstrate consistent focus on network security and Internet measurements, with recent studies concentrating on practical solutions for routing vulnerabilities, colocation facility disruptions, and mobile edge computing optimizations. Earlier foundational work established privacy-preserving computation frameworks for multi-domain networks. Scientific Awards: ERC Proof of Concept Grants (2018, 2019) IEEE Security Symposium Best Paper Award (2013) ACM CoNEXT General Chair (2018) Marie Curie Reintegration Grant (2007) Fulbright Fellowship (2001) Research Leadership: Directs the INSPIRE research group with over 15 members including postdocs, PhD students, and research engineers. Secured €1.41M ERC Starting Grant for innovative Internet routing research. Current projects include RAVEN (BGP vulnerability assessment) and PHILOS (hijacking detection system).

Polyvios Pratikakisمشاهده پروفایل

دانشیار

• Parallel Programming
• Distributed Systems
• Programming Languages
• +۲ مورد دیگر

Polyvios Pratikakis is Associate Professor in the Computer Science Department at University of Crete and Visiting Researcher at FORTH-ICS. Research develops tools for parallel/distributed software execution, focusing on programming languages, runtimes, and static analysis for modern hardware. Current projects include EuroEXA (programming models for exascale applications) and ETAK (earthquake simulation deployment in cloud environments). Past projects include ASAP (big data workflows), Myrmics/BDDT/PARTEE (task-parallel runtimes), and GreenVM (JVM for non-cache-coherent architectures). Additional research examines software fault tolerance and static analysis for parallel programs. Teaching includes undergraduate/graduate courses on Parallel Programming, Type Systems, Multicore Programming, and Computer Science fundamentals. Supervises multiple MSc/PhD students in compiler design, runtime systems, and social network analytics. Service includes program committees (EuroPar, CF), HiPEAC organization, and faculty committees at University of Crete.

Di Wuمشاهده پروفایل

استادیار

• Computer architecture
• Domain-specific acceleration
• Emerging computing paradigms
• +۳ مورد دیگر

Di Wu is an Assistant Professor at the University of Central Florida in the Department of Electrical and Computer Engineering. Their research focuses on next-generation computing systems spanning computer architecture , neuromorphic computing , and quantum computing . PhD in Electrical and Computer Engineering from University of Wisconsin, Madison (2023) Research highlights include innovations in domain-specific acceleration and heterogeneous systems . Recent publications demonstrate expertise in value-level parallelism , stochastic computing , and quantum error correction . Current projects target deep learning systems , neuromorphic brain-computer interfaces , and quantum architecture optimization . Professional recognition includes: 2024 ASPLOS Distinguished Artifact Evaluation Award 2024 Harold Peterson Outstanding Dissertation Award 2023 ML & Systems Rising Star Di Wu contributes to academic leadership as a program committee member for top conferences (ASPLOS, HPCA, ISCA, MICRO) and organizing chair roles for WUC @ ASPLOS 2024 and ARTEQC @ HPCA 2025.

Xin Xinمشاهده پروفایل

استادیار

• Computer Architecture
• Memory Systems
• Reliable Hardware
• +۴ مورد دیگر

Xin Xin is a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at the University of Central Florida since 2023, specializing in computer architecture with emphasis on memory systems and reliable hardware. Her educational background includes: Ph.D. in Electrical and Computer Engineering from University of Pittsburgh (2023) Master's degree from Tsinghua University (2016) Bachelor's degree from Lanzhou University (2013) Research focuses on resilient memory subsystems, domain-specific architectures, and hardware/software reliability. Key areas include processing-in-memory designs for databases, chip-kill ECC schemes, hybrid NVM-DRAM systems, and neural network accelerator reliability. Her work bridges computer architecture with IC design and semiconductor devices. Recent publications (2019-2022) demonstrate consistent contributions to memory hierarchy optimization across top conferences (MICRO, DAC, HPCA), featuring techniques for DRAM latency reduction, cache security, and in-memory processing. The research shows progression toward energy-efficient, fault-tolerant memory systems applicable to databases and AI workloads. She actively recruits PhD students for computer architecture research and serves as a journal reviewer for IEEE Computer Architecture Letters and Transactions on Embedded Computing Systems. Current projects include low-cost processing-in-memory for in-memory databases and reliable neural network accelerators.

• Cybersecurity
• Machine Learning
• Data Analytics
• +۷ مورد دیگر

Dr Zhiyuan (Thomas) Tan is an Associate Professor in the School of Computing, Engineering and the Built Environment at Edinburgh Napier University (ENU). His research focuses on Cybersecurity, Machine Learning, and Network Security with applications in IoT, Edge Computing, and Intelligent Transportation Systems . He has supervised 11 PhD students over 10 years, with 6 completing their studies successfully. Education: BEng (2005) from Northeastern University (China), MEng (2008) from Beijing University of Technology, PhD (2014) from University of Technology Sydney. Research Interests include: Cybersecurity and Machine Learning for Malware Detection Adversarial Machine Learning in Network Security Trust Evaluation in Vehicular Networks Secure Data Architectures for Critical Systems Touch-based Biometric Authentication Hardware Security and Federated Learning Recent Research Trends involve: Advancements in Federated Learning and Machine Unlearning Privacy-preserving IoT and Edge Computing Adversarial Techniques in Malware Analysis Trust Models for Cyber-physical Systems Scientific Awards National Research Award 2017 (Oman) Three Best Paper Awards Kaspersky Lab Finalist Award Stanford Top 2% Scientist (2021-2023) Honourable Mention in SICSA Supervisor of the Year 2019 Grants from organizations including Royal Society (£12,000) , Scottish Informatics Alliance , CSIRO , and ENU Development Trust (£29,703) . He actively recruits self-motivated PhD students for research in Adversarial Machine Learning , Virtualization Security , and Machine Learning Security .

Trung Q. Duongمشاهده پروفایل

استاد

• Wireless Communications
• Quantum Communications
• Quantum Machine Learning
• +۸ مورد دیگر

Trung Q. Duong is a Canada Excellence Research Chair and Full Professor at Memorial University of Newfoundland, Canada. He specializes in wireless and quantum communications, with a focus on 5G/6G networks, IoT applications, and quantum machine learning. His research addresses challenges in network optimization, digital twin integration, and UAV-based communication systems. Education: PhD in Telecommunications Systems from Blekinge Institute of Technology, Sweden. Research Interests: Quantum machine learning, real-time optimization for UAVs, integrated satellite-terrestrial networks, and security in communications. His work spans applications in healthcare, disaster management, and smart cities. Key Achievements: Over 500 publications (20,000+ citations, h-index 76), $54M+ in grants, and prestigious awards like the Newton Prize and IEEE Fellowship. He serves as an editor for top journals such as IEEE Trans. on Wireless Communications and IEEE Wireless Communications Letters. Global Collaborations: Visiting Professorships at National Chung Cheng University (Taiwan), Kyung Hee University (South Korea), and Thuyloi University (Vietnam). Active in international grant review panels across 20+ countries.

Marc St-Hilaireمشاهده پروفایل

استاد

• Telecommunication Network Planning
• Wired and Wireless Communication Networks
• Mobile Computing
• +۷ مورد دیگر

Marc St-Hilaire is a Professor at Carleton University, cross-appointed between the Carleton School of Information Technology and the Department of Systems and Computer Engineering. He holds a Ph.D. from École Polytechnique de Montréal and is a Senior Member of IEEE. His research focuses on telecommunication networks, including network planning, optimization, mobile computing, and emerging technologies like fog/edge computing and software-defined networking (SDN). He leads the NET Program and actively contributes to research through his team and collaborations with labs such as the Broadband Communications and Wireless Systems (BCWS) and Real-Time and Distributed Systems Group (RADS). Dr. St-Hilaire has supervised numerous graduate students, with current advisees in Ph.D. and M.Sc. programs. His work has garnered multiple awards, including Best Paper Awards at conferences like ADHOCNETS and iThings, as well as the Carleton Faculty Graduate Mentoring Award. He is deeply involved in academic service, serving as editor for journals like JSAN and MONET, and organizing committees for major conferences such as IEEE ICC and IEEE Globecom. His research explores cutting-edge areas like vehicular cloud networks, blockchain-based edge intelligence, and resource allocation in distributed systems. He actively seeks to mentor talented students and collaborate on projects addressing challenges in future networks, including 5G/6G integration and industrial IoT reliability.

Tian Guoمشاهده پروفایل

دانشیار

• Cloud Computing
• Edge Computing
• AR/VR
• +۴ مورد دیگر

Tian Guo is an Associate Professor in the Computer Science Department at Worcester Polytechnic Institute (WPI), where he leads research in systems for machine learning and augmented reality. He joined WPI after completing his PhD at the University of Massachusetts Amherst in 2016. His educational background includes: Bachelor of Engineering from Nanjing University (2010) Master of Arts from University of Massachusetts Amherst (2013) PhD from University of Massachusetts Amherst (2016) Professor Guo's research focuses on designing systems mechanisms and policies to handle trade-offs in cost, performance, and efficiency for emerging applications, particularly in the areas of: Cloud/edge resource management for machine learning workloads Deep learning inference optimization for mobile applications Augmented reality systems with focus on lighting estimation Distributed training frameworks for deep learning models His recent publications demonstrate a strong trend toward improving system support for deep learning applications, with particular emphasis on mobile and edge computing environments. His work bridges the gap between theoretical machine learning advances and practical system implementations. Professor Guo has received significant recognition for his research: National Science Foundation CAREER AWARD (2023) National Science Foundation CRII AWARD (2018) Outstanding Achievement by a Young Alum, Manning College of Information & Computer Sciences, UMass Amherst (2022) Best Paper Award, ACM Multimedia Systems Conference (2020) He actively mentors graduate students and has advised several PhD and Master's students to completion. His research is supported by major funding from the National Science Foundation, Google Cloud, and VMware Research. Professor Guo leads The Cake Lab at WPI, which focuses on creating efficient and effective systems for emerging applications, particularly those involving machine learning and augmented reality.