جست‌وجوی استاد و پژوهشگر

• Computer Science
• Networking
• Wireless Communication
• +۴ مورد دیگر

Brad Karp is a Professor of Computer Systems and Networks at University College London (UCL) , holding this position since 2005. His career spans multiple institutions and roles, including a Senior Lecturer (2005-2014) and Reader (2007-2014) at UCL, Adjunct Assistant Professor at Carnegie Mellon University , and Senior Staff Researcher at Intel Research Pittsburgh . He earned his PhD in Computer Science from Harvard University (2000) , preceded by an M.Sc. (1995) and B.Sc. (1992) in the same field from Harvard and Yale respectively. Research Interests : Systems security (operating systems, web browsers, application security) Wireless networking (multi-antenna capacity, interference management) Network routing (robustness, low-latency protocols) Distributed systems (DHTs, sensor networks) Scientific Contributions focus on optimizing network performance, enhancing security architectures, and developing practical routing algorithms. His work on gradient compression (2024) and low-latency routing topologies (2018) demonstrates continued relevance in network design. Earlier publications like OpenDHT (2005) and Polygraph (2005) established foundational contributions in distributed systems and security. Awards & Recognition : Royal Society-Wolfson Research Merit Award (2005-2010) Best Paper Award (Usenix 2014) Professional Activities include program committee roles for ACM SIGCOMM (2009, 2011-2017), HotNets (2008-2017), and NSF review panels. He has examined PhD theses at the University of Cambridge (2010) and contributed to the HotNets Steering Committee (2009-2014).

• Satellite Communications
• Wireless Networks
• Software-Defined Networking
• +۳ مورد دیگر

Mohamed Kassem is a Research Fellow at the Computer Science Research Centre , University of Surrey. His work focuses on satellite communications, wireless networks, and spectrum management. He can be contacted at m.kassem@surrey.ac.uk . Research Interests: Kassem's research explores Low-Earth Orbit (LEO) satellite networks , software-defined networking , and TV white space utilization . His projects include simulating mega-constellations, optimizing gateway placements, and advancing backhaul systems. Article Trends: Over the past decade, his publications have addressed challenges in LEO satellite broadband, multi-connectivity in wireless networks, and innovative backhaul solutions. Key themes include network simulation , spectrum aggregation , and cost-effective infrastructure .

• Global Supply Chain Risk Management
• Health Care Operations Management
• Non-Profit Humanitarian Operations
• +۵ مورد دیگر

Gopalakrishnan Mohan is the Senior Associate Dean of Faculty, School Director, and Professor at Arizona State University (ASU). He holds a Ph.D. from the University of Alabama (1992), an M.S. from the same institution (1987), and a B.E. from the University of Madras, India (1983). His research focuses on global supply chain risk management, healthcare operations, humanitarian logistics, web-congestion management, and product design. Mohan has received multiple awards for teaching excellence and has published extensively in journals like Management Science and International Journal of Production Economics . His career includes faculty roles at Concordia University (Canada), IIT-Chennai, Great Lakes Institute of Management, and IIM-Ahmedabad before joining ASU in 1998. He leads research projects funded by organizations such as the National Science and Engineering Research Council and American Express. His teaching spans global operations, supply-chain management, and lean manufacturing methodologies. Mohan’s work addresses real-world challenges like optimizing hospital supply chains, improving catheterization lab efficiency, and managing disruptions in retail supply networks. He serves on editorial boards for journals like the International Journal of Production Planning and Control and has collaborated with industry partners like PetSmart and St. Vincent de Paul. His research activity includes grants focused on capacity modeling, information flow simulation in card systems, and supply chain optimization for retailers. Courses taught at ASU include decision modeling for supply chains and analytical decision models.

Haodong Wangمشاهده پروفایل

دانشیار

• Wireless and mobile computing
• Security and privacy in pervasive computing
• Information retrieval
• +۵ مورد دیگر

Haodong Wang is an Associate Professor in the Department of Electrical Engineering and Computer Science at Cleveland State University, where he maintains his office in FH 219. He previously served as an Assistant Professor in the Department of Math and Computer Science at Virginia State University before joining Cleveland State. Wang received his educational foundation through a Bachelor of Engineering in Electronic Engineering from Tsinghua University in Beijing, China, followed by a Master of Science in Electrical Engineering from Penn State University, culminating in a Ph.D. in Computer Science from the College of William and Mary in August 2009. His research primarily focuses on wireless and mobile computing security, with particular expertise in cryptographic implementations for resource-constrained sensor networks. Wang's WM-ECC project represents one of the most efficient publicly available ECC implementations for wireless sensor motes, adopted by numerous institutions including USC, UCLA, and Siemens Research Corporation. His work bridges theoretical security concepts with practical implementations for pervasive computing environments. Analysis of his 15 most recent publications reveals a progression from foundational wireless sensor network security work toward broader applications in cloud computing, virtualization, and web security, while maintaining his core expertise in wireless communications. His research consistently demonstrates a practical engineering approach to solving real-world security and performance challenges. Wang has served on technical program committees for major conferences including GLOBECOM 2014 and ICCCN 2014, reflecting his standing in the networking research community. He teaches a comprehensive range of courses at Cleveland State University from foundational programming and data structures to advanced topics in information security, blockchain, and artificial intelligence, demonstrating both breadth and depth in computer science education.

Polichronis Stamatiadisمشاهده پروفایل

دانشیار

• Transportation Engineering
• Traffic Engineering
• Traffic Signal Control
• +۳ مورد دیگر

Polichronis Stamatiadis serves as an Associate Professor in the Civil and Environmental Engineering Department at UMass Lowell's Francis College of Engineering, specializing in Transportation Engineering with expertise in traffic signal optimization and intelligent transportation systems. His academic credentials include: Ph.D. in Civil and Environmental Engineering (Transportation and Traffic Engineering), Michigan State University (1992) M.S. in Civil and Environmental Engineering (Transportation and Traffic Engineering), Michigan State University (1987) B.S. in Surveying Engineering, Aristotle University, Greece (1985) Stamatiadis's research centers on transportation network optimization , with primary focus on traffic flow theory, signal control algorithms, and arterial progression systems. His work bridges theoretical modeling with practical implementation through dynamic traffic assignment integration and real-time adaptive control strategies. Notable contributions include MULTIBAND-95 progression optimization and near-Bayes minimax control frameworks that address uncertainty in traffic networks. His publication portfolio demonstrates evolving expertise from foundational traffic engineering (1990s) to advanced optimization techniques (2000s) and interdisciplinary photonics applications (2010s). Key thematic areas include network-wide signal coordination, congestion mitigation, and emergency evacuation planning, with consistent emphasis on computational efficiency and scalability for urban environments. Research funding has been secured from major entities including the National Nuclear Security Administration, MassDOT, and U.S. Department of Transportation. Significant projects encompass: Emergency evacuation planning for nuclear facilities using large-scale network simulation (2011) Traffic Operations Center enhancement (2009) Interactive TMC decision support tools (2008) Arterial traffic flow characterization (2005) Pioneering web-based ITS education modules (1999-2003)

Yingwu Zhuمشاهده پروفایل

دانشیار

• Distributed Systems
• Peer-to-Peer Networks
• Computer Security
• +۵ مورد دیگر

Yingwu Zhu is an Associate Professor at the Department of Computer Science and Software Engineering within Seattle University's College of Science & Engineering . With a Ph.D. in Computer Science from the University of Cincinnati and prior degrees from Huazhong University of Science & Technology, his career spans academic research in distributed systems , peer-to-peer networks , and computer security . Education : Ph.D., Computer Science, University of Cincinnati M.S., Computer Science, Huazhong University of Science & Technology B.S., Computer Science, Huazhong University of Science & Technology Research Interests Dr. Zhu's work focuses on peer-to-peer computing , with emphasis on: Semantic Search over DHT overlays Resilient Anonymous Routing using redundancy and erasure coding Content-Based Publish/Subscribe Systems with DHT integration Load Balancing in structured P2P networks Trust Management via network coding Bandwidth-Efficient Algorithms for distributed systems His research has been published in top venues like IEEE TPDS , JPDC , and HiPC , with acceptance rates as low as 14%. Key themes include scalability , fault tolerance , and proximity-aware networking . Scientific Recognition Best Paper Award , NAS'08 Top pick , NAS 2006 Academic Service He actively contributes to the field through program committee memberships at ICCCN , HiPC , IPDPS , and P2P conferences, while maintaining the Distributed Systems Laboratory (DSL) with high-end computational resources.

Srihari Nelakuditiمشاهده پروفایل

استاد

• Mobile Computing
• Wireless Networking
• Internet Routing
• +۲ مورد دیگر

Srihari Nelakuditi is a Professor in the Department of Computer Science and Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. His research spans mobile computing, wireless networking, and Internet routing with significant contributions to smartphone sensing, human recognition systems, and network protocol design. Education: Ph.D. in Computer Science and Engineering, University of Minnesota, Minneapolis (2001) M.Tech. in Computer Science and Engineering, Indian Institute of Technology, Madras (1991) B.E. in Computer Science and Systems Engineering, Andhra University, Visakhapatnam (1989) Professor Nelakuditi's research focuses on innovative applications of mobile and wireless technologies. His work includes the development of InSight (a system for recognizing humans without face recognition using clothing and motion patterns), TagSense (automatic image tagging leveraging smartphone sensors), and AccelPrint (a technique using accelerometer imperfections to identify smartphones). His research bridges theoretical networking concepts with practical mobile applications, often exploring how device sensors can enable new forms of context-aware computing. His recent publications (2013-2016) demonstrate a cohesive research trajectory across mobile sensing, human recognition, smartphone security, and wireless protocol optimization. These works show consistent innovation in leveraging device capabilities for novel applications while addressing fundamental networking challenges, with several projects receiving significant media attention and real-world impact. Scientific Awards: National Science Foundation (NSF) CAREER Award (2005) Google Faculty Research Award (2013) Most Valuable Professor of Computer Science and Engineering, USC (2014) Distinguished Member of IEEE INFOCOM Technical Program Committee (2015-2016) ACM Distinguished Member (2018) Professor Nelakuditi has served extensively in academic service roles including as Associate Editor for IEEE Transactions on Mobile Computing, Technical Program Committee Co-Chair for SECON 2017 and IWQoS 2009, and committee member for numerous top networking conferences. His research has been supported by prestigious funding sources including NSF and Google. His work on InSight and AccelPrint received widespread media coverage from major outlets including the Los Angeles Times, MIT Technology Review, and The New York Times. While specific lab names aren't explicitly mentioned in the provided materials, his research appears to involve collaborative work with the ARENA (A Research on Emerging Networks and Applications) group, focusing on smartphone sensing, wireless networking, and mobile computing applications.

• Computer Systems
• Cloud Computing
• Edge Computing
• +۷ مورد دیگر

Ming Zhao is an Associate Professor at Arizona State University's School of Computing and Augmented Intelligence (SCAI) with additional affiliations at the School of Medicine and Advanced Medical Engineering (SOMME). He directs the NSF-funded Center for Accelerated Real Time Analytics (CARTA) and the Research Laboratory for Virtualized Infrastructures, Systems, & Applications (VISA), focusing on experimental computer systems research at the intersection of cloud/edge computing, big data, and machine learning. His educational background includes: Ph.D. in Electrical and Computer Engineering, University of Florida (2008) M.S. in Pattern Recognition and Intelligent Systems, Tsinghua University, China (2001) B.S. in Automation, Tsinghua University, China (1999) Dr. Zhao's research centers on experimental computer systems with emphasis on cloud/edge infrastructure , big-data/machine-learning systems , and high-performance computing . His work bridges systems research with biomedicine, neuroscience, transportation, and social sciences, generating both fundamental scientific contributions and practical industry impact. His publications exceed 90 peer-reviewed articles with over 3,200 citations, and his research outcomes have been adopted in production systems. Analysis of his 15 most recent publications reveals strong trends in storage systems innovation (particularly ZNS SSDs and hybrid memory), edge computing optimization (benchmarks, privacy-preserving techniques), and machine learning efficiency (quantization, knowledge distillation). His work consistently addresses real-world constraints while pushing theoretical boundaries in systems research. His scientific recognition includes: National Science Foundation CAREER award ASEE Air Force Summer Faculty Fellowship AWS Machine Learning Research Award VMware and Intel Faculty Awards Best Paper award at International Conference on Autonomic Computing Multiple university-level excellence awards As an educator and mentor, Dr. Zhao has created innovative courses in virtualization and cloud computing while revitalizing operating systems curriculum. He has mentored numerous doctoral, master's, undergraduate, and high-school students - with his PhD students receiving prestigious fellowships including McKnight Doctoral Fellowship and VMware Graduate Fellowship. His research is funded by National Science Foundation, Department of Homeland Security, Department of Defense, and industry partners through CARTA's collaborative model. His leadership extends to the VISA Research Lab which explores virtualization and autonomics for large-scale computing systems, and CARTA which unites ASU, Rutgers, UMBC, and University of Miami in industry-collaborative research on real-time analytics. Current projects focus on cloud computing, high-performance computing, big data systems, and storage optimization for diverse domain applications.

• Distributed Systems and Algorithms
• Decentralized search algorithms
• P2P systems and applications
• +۱۴ مورد دیگر

Angelo Furno is an Associate Professor at ENTPE (National School of Public Works) within Université Gustave Eiffel in Lyon, France. He serves as a researcher at the LICIT laboratory and collaborates with INRIA AGORA and the CITI-Lab of INSA-Lyon. His academic journey began at the University of Sannio in Italy where he earned his degree in Computer Engineering in 2010, followed by a PhD in Information Engineering completed in 2014 with a thesis titled "Scalable Service Composition in Autonomic Computing." After his PhD, he conducted post-doctoral research at both the University of Sannio and INRIA in Lyon. Furno's research spans multiple domains with a strong focus on transportation systems and network analysis. His work integrates distributed systems, mobile networking, and data science to address urban mobility challenges. He specializes in analyzing multi-source traffic data to support urban planning and transportation infrastructure management. His research interests include mobility pattern recognition, travel demand estimation, road-network modeling, land use detection, and social network analysis. He has developed expertise in graph analysis, clustering algorithms, and recommendation techniques applied to transportation contexts. His technical skills encompass Python, Scala, Java, and various web technologies. His publication record demonstrates consistent contributions to transportation research, with recent work focusing on park-and-ride systems optimization, traffic demand prediction using deep learning, privacy-preserving analysis of origin-destination data, and geometric classification of urban road networks. His research often addresses practical urban challenges, including pandemic-related transportation adaptations and accessibility analysis of transit networks in cities like Lyon. Best Paper Award (2012) Furno teaches courses on Intelligent Transportation Systems, Data Science and Machine Learning, and Big Data at ENTPE. His reviewing activities span numerous prestigious journals including IEEE Transactions on Mobile Computing, Transportation Research Part C, and Sensors. His collaborative work extends to multiple institutions across Europe, with particular emphasis on French research networks.