جست‌وجوی استاد و پژوهشگر

• Blockchain Technology
• Distributed Computing
• Computer Networks
• +۷ مورد دیگر

N Park is an Associate Professor of Computer Science at Oklahoma State University, where he has been affiliated since 2004. His research focuses on blockchain technology, distributed computing systems, cybersecurity, and performance modeling of decentralized networks. He has contributed extensively to the development of blockchain protocols, including innovative models for NFT chains, hybrid chains, and real-time blockchain systems. His work often addresses scalability, security, and efficiency through queueing theory and distributed systems design. Key research areas include blockchain consensus mechanisms (e.g., PoS and PoW comparisons), IoT security for drones, and optimization of systems like Hyperledger Fabric and Ethereum. He has published over 139 scholarly works, with notable contributions to blockchain interoperability, transaction prioritization, and on-off chain data management. His recent projects include ReBAS (a redactable blockchain for IoT drones) and performance models for NFT chains. In teaching, he instructs courses such as Computer Organization and Architecture, Operating Systems, and advanced topics in computer systems. He has also advised doctoral and master's students through dissertation and thesis courses. His grant-funded work includes the GenCyber Cowboy Teacher Cybersecurity Academy (2023–2025), highlighting his commitment to cybersecurity education. Dr. Park collaborates widely, with co-authors from academia and industry. His interdisciplinary approach bridges theoretical computer science with practical applications in distributed systems, making him a leading figure in blockchain and systems research.

• Distributed Computing
• Communication Complexity
• Quantum Computing
• +۴ مورد دیگر

Rotem Oshman is affiliated with Tel-Aviv University, Israel , where he contributes to research in theoretical computer science, focusing on distributed computing, communication complexity, and quantum algorithms. His work addresses fundamental challenges in network protocols, concurrent data structures, and cryptographic verification.

• Distributed Algorithms
• Graph Theory
• Parallel Computing
• +۳ مورد دیگر

Xianbin Zhu is a Postdoctoral Researcher in the Department of Computer Science at Aalto University. His research focuses on distributed algorithms, graph theory, parallel computing, and stochastic processes. He explores dynamic network optimization, leader election protocols, and stochastic models in distributed systems. Recent work includes advancements in maximal matching algorithms and massively parallel solutions for the stochastic block model. No academic awards, grants, or formal advising roles are explicitly listed in the provided texts. His contributions are primarily reflected through his published articles in distributed systems and theoretical computer science.

• Intensive Care Medicine
• Critical Care Echocardiography
• Respiratory Physiology
• +۷ مورد دیگر

Stephen Huang is a Clinical Professor in Intensive Care Medicine at Nepean Clinical School. His clinical expertise encompasses critical care ultrasonography, hemodynamic monitoring, and management of respiratory/cardiovascular failure in ICU settings. He co-edits authoritative textbooks like the Oxford Textbook of Advanced Critical Care Echocardiography and leads multinational research consortia such as the ECHO-COVID study group. His research program investigates: Advanced echocardiography techniques for COVID-19 cardiac complications Hemodynamic phenotyping in sepsis and ARDS Novel ventilation strategies including intrapulmonary percussive therapy Ultrasound-based competency frameworks for critical care training Biomarker discovery in respiratory infections Publication analysis reveals three dominant themes: 1) echocardiography protocol validation for ICU applications, 2) COVID-19 cardiovascular pathophysiology, and 3) evidence synthesis for critical care interventions. His 2020-2024 outputs show intensified focus on pandemic-related cardiac injury and ventricular-pulmonary coupling dynamics. He collaborates internationally on guideline development, including the PRICES statement for critical care echocardiography research standards. Grant support includes investigations into microRNAs in cardiac dysfunction (Nepean Medical Research Foundation, 2011).

Mohamed Ali Belabbasمشاهده پروفایل

دانشیار

• Control Systems
• Optimization
• Gossip Networks
• +۳ مورد دیگر

Mohamed Ali Belabbas is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, with additional affiliations to the Coordinated Science Lab. His research focuses on theoretical and applied aspects of control systems, optimization, and network dynamics. Dr. Belabbas's work spans control theory, stochastic optimization, and gossip networks. Key areas include: Super-linearization techniques for polynomial systems Gossip algorithms for information dissemination and synchronization Geometric methods for stability and feedback control Age-of-information optimization in networked systems Analysis of his recent publications (2023–2025) reveals a strong emphasis on theoretical foundations of distributed control, graphons, and optimization. Trends include the application of control-theoretic principles to machine learning and cryptography. No awards, grants, or student advisees are explicitly documented in the provided text. He conducts research at the Coordinated Science Lab, an interdisciplinary center focusing on complex systems and computing.

Nishanth Sastryمشاهده پروفایل

استاد

• Internet Data Science
• Social Networks
• Computational Social Science
• +۹ مورد دیگر

Professor Nishanth Sastry is a distinguished academic in the Department of Computer Science at the University of Surrey , serving as Associate Head of Research and Innovation. He holds a PhD from the University of Cambridge and has extensive industry experience at Cisco Systems, IBM, and MIT. His research focuses on social networks, computer networks, online harms, edge computing, and privacy , with notable projects analyzing hate speech on Twitter, optimizing LEO satellite networks, and developing privacy-preserving technologies. He has received multiple awards including a SIGCOMM Best Paper Award and nine US patents. Education: Bachelor’s (Distinction) – RV College of Engineering Master’s – University of Texas at Austin PhD – University of Cambridge Research Interests: Nishanth’s work bridges computer networks and social dynamics , applying Internet Data Science to improve system efficiency. Key areas include: Peer-assisted content delivery and edge caching Hate speech detection and mitigation Blockchain-based pervasive systems Satellite network optimization Privacy in social platforms Articles & Impact: His recent work explores conversation kernels for context analysis , LEO satellite gateway placement , and emotion-aware speech synthesis . These studies address real-world challenges like reducing video traffic load and enhancing decentralized web accessibility. Awards & Recognition: Best Paper Award (SIGCOMM 2017) Yunus Innovation Challenge Award (MIT 2016) Multiple IBM and industry accolades Advising & Grants: Supervises PhD students in distributed systems and cybersecurity. Active in securing grants for projects like Transition Guardian (vulnerable user privacy) and EdgeMart (edge network economies). Labs & Collaborations: Leads the Distributed and Networked Systems Group and co-leads the Surrey Security Network . Collaborates with organizations like the Alan Turing Institute, BBC R&D, and Wikimedia Foundation.

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.

• Formal Methods
• Programming Languages
• Concurrency Theory
• +۳ مورد دیگر

Marco Giunti is a Researcher at the University of Oxford's Department of Computer Science. His work focuses on formal methods, programming languages, and distributed systems, with a particular emphasis on session types, concurrency theory, and blockchain technology. He explores topics such as typestate systems, formal verification, and secure channel abstractions. Recent research highlights include advancements in iso-recursive multiparty sessions, blockchain consensus mechanisms (e.g., Lupin), and data-centric synchronization frameworks like AtomiS. His contributions bridge theoretical foundations with practical applications, addressing challenges in distributed systems and static analysis. Giunti's publications span technical reports and peer-reviewed articles, showcasing innovations in automated verification, type systems, and concurrency control. His work often emphasizes the intersection of formal methods and real-world distributed computing scenarios.

Jean-Baptiste Jeanninمشاهده پروفایل

استادیار

• Verification of cyber-physical systems
• Logics and semantics of programming languages
• Programming with coinductive types
• +۳ مورد دیگر

Jean-Baptiste Jeannin is an Assistant Professor in the Department of Aerospace Engineering at the University of Michigan — Ann Arbor, leading the MARVL group. He is also affiliated with the departments of Computer Science and Engineering and Robotics. His research focuses on formal verification of cyber-physical systems, logics and semantics of programming languages, and coinductive programming types. He holds a Ph.D. in Computer Science from Cornell University (2013) and a Diplôme d'Ingénieur from École polytechnique (2007), with prior roles at Samsung Research America and Carnegie Mellon University. His research interests include verification of aerospace applications, program logics, and formal methods applied to robotics and distributed systems. Notable work includes formally verified algorithms for collision avoidance, network consensus protocols, and numerical methods. He teaches courses such as AERO 552 (Aerospace Information Systems) and EECS 590 (Advanced Programming Languages). Jeannin's recent publications emphasize formal verification in hybrid systems, rounding error analysis, and hardware-software co-design. His work bridges theoretical foundations with practical applications in autonomous systems, cybersecurity, and computational physics. Collaborations include projects on certified approximations of mathematical functions and verified distributed system protocols.

Alex Schwarzmannمشاهده پروفایل

استاد

• Cyber Security
• Distributed Computing
• Election Integrity
• +۳ مورد دیگر

Alex Schwarzmann is a Professor and Dean in the Department of Computer Science at Augusta University's School of Computer and Cyber Sciences. He holds a Ph.D. and MS in Computer Science from Brown University (1992, 1989) and an MS from Cornell University (1981). His research focuses on distributed computing systems, cyber security, election integrity, and cryptographic protocols. He has led initiatives in secure distributed storage systems, fault-tolerant algorithms, and voting system security. Notably, he received the 2022 and 2010 Edsger W. Dijkstra Prizes in Distributed Computing for foundational contributions to the field. His work integrates theoretical rigor with practical applications, such as developing robust frameworks for election-day voter check-in and securing atomic memory operations. He has served as Committee Chair for the 5th International Symposium on Cyber Security Cryptology and Machine Learning (CSCML 2021). His research spans distributed consensus algorithms, intrusion detection mechanisms, and privacy-preserving technologies in networked systems. Recent publications highlight advancements in atomic storage systems, low-latency distributed memory, and mitigating vulnerabilities in multi-source transfer learning. His grants include NSF funding for secure voting systems and resilient distributed frameworks.

• Neuromorphic Engineering
• Computational Neuroscience
• Brain-Inspired Computing
• +۲ مورد دیگر

Alessio Franci is Lecturer in Electrical Engineering and Computer Science at the University of Liege, where he co-founded the ULiege Neuroengineering Lab. His research bridges mathematics, neuroscience and engineering through brain-inspired computing paradigms. Funded by a WEL-T Starting Grant, his work develops neuromorphic controllers and biomorphic systems for robotics and intelligent sensing. Research explores: neurocomputational principles of decision-making; neuromodulation in adaptive systems; and degenerate coding in neural circuits. Publications apply nonlinear dynamics to opinion formation, neural coding, and neuromorphic hardware design, demonstrating consistent innovation in theoretical frameworks. Honors include the WEL-T Starting Grant supporting his investigations into neuronal degeneracy and physiological mechanisms. Current work emphasizes real-world applications in robotics through spiking neural controllers and embodied neuromodulation strategies.

• Smart Grids
• Power System Operational Planning
• Renewable Energy Integration
• +۷ مورد دیگر

Vincent Debusschere is an Associate Professor at the Grenoble Institute of Technology, working within the National School of Energy, Water and Environment (ENSE 3 ) and the Grenoble Electrical Engineering Laboratory (G2Elab). He has been with the institution since 2010 and is a member of the SYREL research team. His current responsibilities include serving as co-coordinator of the international master's degree in Electrical Engineering for Smart Grid and Buildings, head of international relations for the Energy Systems and Markets department, and member of the scientific committee of the national JCGE conference since 2013. Dr. Debusschere's research focuses on integrating renewable energies into power systems, with particular emphasis on maximizing grid capacity for variable renewables while ensuring operational stability. His work spans multiple dimensions: residential and tertiary flexibility estimation and control, renewable production management through storage systems, operational planning of distribution grids under uncertainty, microgrid stability in isolated environments, and long-term energy system prospective modeling. His research combines technical, economic, environmental, and societal criteria to address the challenges of sustainable energy transition. His publication record shows a clear evolution toward energy communities, storage market participation, and advanced control strategies for grid-forming converters. Recent work increasingly focuses on the intersection of machine learning techniques with power system operation, particularly for voltage control under uncertainty and distributed resource management. His research maintains strong connections between theoretical developments and practical applications through numerous industrial collaborations. Dr. Debusschere has directed or co-directed more than 10 PhD theses (5 completed, 6 ongoing) and maintains active research collaborations with institutions worldwide including NTU Singapore, University of Oulu (Finland), Institute Teknologi Bandung (Indonesia), and Danang University (Vietnam), as well as French institutions like LIG, GIPSA, CEA, and GAEL. He manages three industrial research contracts with partners including ENEDIS, Schneider Electric, and ITE Supergrid. Based at the G2Elab in the GreEn-ER Building in Grenoble, Dr. Debusschere leads research activities within the SYREL team, focusing on experimental validation of regulation methods for smart grids and the application of artificial intelligence to grid operation. His laboratory work particularly emphasizes the stability of microgrids with low inertia and the development of virtual synchronous generator solutions.

Ram Dantuمشاهده پروفایل

استاد

• Cybersecurity
• Blockchain Technology
• Network Security
• +۴ مورد دیگر

Ram Dantu is Professor of Computer Science and Engineering and Director of the Center for Information and Cyber Security at the University of North Texas. His research advances cybersecurity frameworks, blockchain interoperability, quantum networking, and IoT security protocols. Research Focus: Dantu's work develops consensus mechanisms for distributed systems, cross-chain atomic swaps, privacy-preserving computation, and secure network architectures. Recent projects examine homomorphic encryption applications and metaverse security challenges. Leadership: Directs interdisciplinary cybersecurity research initiatives at Discovery Park, focusing on practical security solutions for emerging technologies.

• Dynamical Systems
• Delay Differential Equations
• Complex Systems
• +۷ مورد دیگر

Fatihcan Atay is a Professor of Mathematics at Bilkent University's Department of Mathematics. He previously held a position at the Max Planck Institute for Mathematics in the Sciences in Leipzig. His research focuses on dynamical systems, delay differential equations, and complex networks, with applications to traffic flow modeling, epidemiology, and neural systems. He has contributed to theoretical frameworks analyzing synchronization, stability, and bifurcations in systems with time delays. His work bridges pure and applied mathematics, addressing challenges in engineering, neuroscience, and social systems. Key research themes include: Stability analysis of traffic flow models with discrete/distributed delays Synchronization dynamics in anticipatory agent networks Mathematical modeling of infectious disease transmission Spectral clustering and structural balance in signed graphs Notable contributions include frameworks for analyzing delay-induced phenomena in coupled systems, stability criteria for time-delay networks, and applications of graph theory to complex systems. His research has been published in leading journals across mathematics, physics, and engineering disciplines.

• Algorithms
• Big data analytics
• Blockchain
• +۱۲ مورد دیگر

Dr. Wojciech Golab is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on distributed systems, concurrency control, and persistent memory algorithms. He has received recognition for his work on shared memory algorithms from ACM Computing Reviews. His academic career includes teaching courses like ECE 252, ECE 356, and ECE 454 in the past five years. Education: PhD in Computer Science, University of Toronto (2010) M.Math in Computer Science, University of Waterloo (2004) BSc in Computer Science, University of Toronto (2002) Dr. Golab's research interests span algorithms, blockchain, distributed systems, fault tolerance, and scalable storage solutions. His work emphasizes practical applications of theoretical computer science, such as optimizing transaction processing and ensuring consistency in distributed environments. His recent publications explore topics like detectable synchronization objects for persistent memory, blockchain sharding protocols, and efficient mutual exclusion algorithms under system failures. These contributions highlight advancements in both theoretical foundations and real-world distributed system design. Awards: ACM Computing Reviews 'Notable Computing Items' recognition (2012) Dr. Golab has collaborated with industry partners like Hewlett-Packard Labs, Google, and Cisco to advance research in distributed computing and cloud systems. He currently oversees graduate studies in his department and welcomes applications from prospective students.