جست‌وجوی استاد و پژوهشگر

Craig A. Shueمشاهده پروفایل

استاد

• Computer Security
• Cyber Security
• Network Security
• +۷ مورد دیگر

Craig A. Shue is a Professor and Department Head of Computer Science at Worcester Polytechnic Institute (WPI). He holds affiliations with the Cyber Security department and leads initiatives such as the NSF Scholarship for Service and Department of Defense Cyber Scholarship Program. His expertise spans network security, applied system building, and empirical analysis of security tools. Shue’s research focuses on securing enterprise and residential networks using SDN, NFV, and system instrumentation. He has advised the WPI Cyber Security Club and the Collegiate Cyber Defense Competition Team. His work addresses vulnerabilities in multi-factor authentication, IoT device security, and zero-trust architectures. Education: BS (Ohio University, 2004), MS (Indiana University, 2006), PhD (Indiana University, 2009). Research Interests: Network security, software-defined networking, IoT device protection, edge computing, zero-trust models, and system-level security solutions. His recent projects include user-action linked network profiling, containerized attack mitigation, and smartphone-based traffic inspection. Media Contributions: Provided analysis on the July 2024 CrowdStrike outage for NPR and Boston Globe. His insights address cloud vulnerability, incident response, and cybersecurity provider reliance. Scientific Awards: 2017 NSF CAREER Award, 2016 NSF Transition to Practice Grant, 2014 DHS Young Faculty Award, and Best Paper Awards at IEEE Network of the Future (2022) and LCN (2020). Grants & Programs: Directs WPI’s NSF Scholarship for Service and DoD Cyber Scholarship Program. Active in curriculum design for cybersecurity education aligning with UN SDGs like Quality Education (SDG 4) and Gender Equality (SDG 5). Labs/Teams: Leads research on network profiling, SDN-based security, and IoT resilience. Collaborates with students on projects documented in Digital WPI and his personal website.

Milica D. Jovanovicمشاهده پروفایل

استادیار

• Wireless Sensor Networks
• Networks-on-Chip
• Communication Protocols
• +۵ مورد دیگر

Milica D. Jovanovic is an Assistant Professor in the Department of Electronics at the Faculty of Electronics, University of Niš, Serbia. She has been with the institution since 2013, progressing from assistant trainee to her current academic rank, and holds a PhD earned in 2017 from the same faculty. PhD, Faculty of Electronics, University of Niš (2017) MSc, Microsystems Design and Engineering, Faculty of Electronics, University of Niš (2011) BSc, Computer Engineering and Informatics, Faculty of Electronics, University of Niš (2003) Her research centers on wireless sensor networks, networks-on-chip, and communication protocols, with a focus on MAC layer design, contention resolution, and indoor localization. She employs signal processing, fuzzy logic, and optimization techniques to enhance network performance and reliability. Her recent publications reflect a strong trend in improving communication efficiency and robustness in constrained environments such as wireless sensor networks and on-chip interconnects. Key themes include tone-based contention resolution, multi-channel MAC protocols, deflection routing, and UWB-based localization, placing her work at the intersection of embedded systems, networking, and signal processing. She is actively involved in one national and one international research project, contributing to both theoretical and applied aspects of electronic systems. Her work has appeared in high-impact journals including The Journal of Supercomputing , Expert Systems with Applications , and Computer Communications . She has collaborated extensively with researchers such as Igor Z. Stojanovic, Sandra Djosic, and Goran Lj. Djordjevic. While no formal advisees are listed, her involvement in doctoral studies and research projects suggests mentorship roles within her lab and department.

Горан Љ. Ђорђевићمشاهده پروفایل

استاد

• Computer Networks
• Wireless Communications
• Localization Systems
• +۳ مورد دیگر

Goran Lj. Djordjevic is a Professor at the Department of Electronics, Faculty of Electronic Engineering, University of Nis, Serbia. Appointed full professor in 2009 after progressive promotions from assistant professor (1999) to associate professor (2004), he represents a cornerstone of the institution where he completed all academic degrees. His three-decade career exemplifies deep institutional commitment and scholarly excellence in electronic engineering. His academic foundation was built entirely at the University of Nis: Diploma Engineer in Electronics (1989) Master of Science in Electronics (1994) Doctor of Philosophy in Electronics (1998) Professor Djordjevic's research forms three interconnected pillars: Networks-on-Chip (NoC) innovation with breakthroughs in deflection routing and port allocation; UWB localization systems solving multipath challenges in complex indoor environments through multi-algorithm fusion; and error control coding for storage systems with applications in optical media. His work consistently bridges theoretical rigor and practical implementation, evidenced by 22 impact-factor journal publications spanning VLSI design, wireless communications, and parallel computing. Analysis of his publication timeline reveals strategic evolution: recent work (2021-2022) focuses on real-world NoC optimization and robust indoor positioning, mid-career research (2015-2005) established CDMA bus architectures and fault-tolerance frameworks, while foundational contributions (2001, 1996) in constraint coding and task scheduling underpin his later breakthroughs. This trajectory demonstrates exceptional continuity in advancing communication reliability across hardware and software domains. Scientific recognition includes: No formal awards documented in source materials Regarding academic mentorship, while specific students aren't listed, his sustained research output implies active graduate supervision. Project funding shows zero current national grants, though international collaborations remain unspecified. His 22 impact-factor publications across IEEE, Elsevier, and Springer journals demonstrate consistent productivity through completed research initiatives, with recent work indicating ongoing laboratory activity in wireless and NoC domains.

• Materials Science
• Chemical Engineering
• Catalysis Engineering
• +۹ مورد دیگر

C. Huang is an active researcher in the fields of materials science and chemical engineering, with particular expertise in advanced materials processing, energy systems, and sustainable technologies. Currently affiliated with the Applied Sciences division and Chemical Engineering/Catalysis Engineering department, Huang's research spans from fundamental materials research to applied energy system optimization. Research Focus Areas: Inkjet printing of advanced materials including metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) Process design and optimization for additive manufacturing technologies Hydrogen production technologies with emphasis on alkaline electrolysis systems Renewable energy integration and grid-scale energy storage solutions Microgrid optimization and control strategies Thermal management and heat recovery systems for energy applications Huang's recent work demonstrates a strong interdisciplinary approach, combining materials science expertise with energy systems engineering. The research output shows significant contributions to both fundamental understanding of material processing techniques and practical applications in renewable energy systems. The 2025 review article in ACS Applied Materials and Interfaces represents a comprehensive analysis of inkjet printing technologies for advanced porous materials, while the extensive Google Scholar publications showcase expertise in hydrogen technology and energy system optimization. Collaboration Network: The research profile indicates active collaboration with international partners, as evidenced by the multi-institutional authorship on the 2025 review article. The work spans both experimental materials research and computational modeling approaches, suggesting a well-rounded research program that bridges theoretical understanding with practical applications.

Cor Hurkensمشاهده پروفایل

استادیار

• Operations Research
• Combinatorial Optimization
• Algorithms
• +۶ مورد دیگر

Cor Hurkens is an Assistant Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His expertise spans operations research, combinatorial optimization, algorithm design, and applied mathematical modeling. Research Focus : Worst-case analysis of combinatorial algorithms, complexity of combinatorial problems, polyhedral theory, and local search approximation methods. Educational Contributions : Supervision of industrial projects and master projects, with a strong emphasis on mathematical modeling in the curriculum. Publications Analysis : His work addresses optimization problems in diverse domains, including Traveling Salesman Problem heuristics , path packing algorithms , optical router revenue maximization , and classification tree learning via column generation . Grants : Supported by the NWO Gravitation project NETWORKS (Grant Number 024.002.003).

Salman Avestimehrمشاهده پروفایل

استاد

• Information Theory
• Federated Machine Learning
• Decentralized Learning
• +۳ مورد دیگر

Salman Avestimehr is a Dean’s Professor at the University of Southern California (USC) in the Viterbi School of Engineering, jointly affiliated with the Electrical and Computer Engineering and Computer Science Departments. He is the co-founder and CEO of FedML, an open-source framework for federated learning, and serves as director of both the USC-Amazon Center on Secure & Trusted ML and the vITAL Research Lab. His research focuses on information theory, decentralized machine learning, and secure/privacy-preserving computing. His recent research explores federated learning for healthcare applications, uncertainty estimation in LLMs, multimodal distillation for heterogeneous systems, and secure aggregation techniques. The vITAL Lab under his leadership has produced numerous publications in 2024-2025 across top conferences like ICLR, CVPR, PETS, and NAACL. Notable achievements include the Andrea Goldsmith Young Scholars Award received by his lab member Batu. His work spans practical frameworks (FedML), theoretical advances (coded computing), and interdisciplinary applications (LANTERN for biomedical prediction, CryptoMamba for cryptocurrency modeling).

Mark Frenchمشاهده پروفایل

استاد

• Experimental Mechanics
• Noise and Vibration
• Stringed Instrument Design
• +۲ مورد دیگر

Mark French is a Professor in the Department of Mechanical Engineering Technology within Purdue University's Polytechnic Institute, where he has served since 2004 after transitioning from aerospace engineering and automotive industry careers. His work uniquely bridges industrial practice and academia through experimental mechanics and stringed instrument design. His educational background includes: B.S. in Aerospace and Ocean Engineering from Virginia Tech (1985) M.S. in Aerospace Engineering from the University of Dayton (1988) Ph.D. in Aerospace Engineering from the University of Dayton (1993) Prof. French's research centers on Experimental Mechanics , Noise and Vibration Analysis , and Stringed Instrument Design , where he innovates by merging traditional luthiery with modern engineering techniques like CNC machining and fractional calculus modeling. His work emphasizes practical applications in industrial support systems and guitar craftsmanship. His publication trend reveals a consistent focus on translating engineering principles to musical instrument design, particularly through American Lutherie journal articles that blend academic rigor with artisanal practice. Recent works emphasize CNC automation in luthiery, historical building methods, and mechanical impedance analysis. His honors include: Three College Awards for Outstanding Undergraduate Teaching (2008, 2014, 2018) 2018 University-level Murphy Teaching Award 2018 Purdue Book of Great Teachers 2010 Society for Experimental Mechanics Brewer Award 2024 Purdue MEP Lifetime Achievement Award for industry impact Through Purdue's TAP40 program, French has managed over 115 industry projects providing fee-free technical assistance to Indiana businesses, impacting hundreds of jobs with eight-figure economic benefits. He mentors students in the Guitar Lab while leading industry collaborations like the Gibson partnership. His YouTube channel (7.7M views) extends his educational reach globally. He directs the Purdue Guitar Lab, which has produced custom instruments including the 2025 Indianapolis Colts 'Win for Jim' tribute guitar. The lab's Gibson partnership and collaborations with local businesses like Freckles Graphics and Prime Body and Paint create experiential learning opportunities combining engineering technology with musical artistry.

Emilio Leonardiمشاهده پروفایل

استاد

• Communication Networks
• Complex Systems
• Epidemic Spreading
• +۷ مورد دیگر

Emilio Leonardi is a Full Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, Italy, since 2015. His research focuses on communication systems, complex networks, epidemic spreading, and online social networks. He has held visiting roles at INRIA (2016-2017), NEC Laboratories Europe (2012), and collaborated with institutions like UCLA, Bell Labs, and Stanford. Key research areas: Telecommunications and network engineering Stochastic processes in network modeling AI-driven caching and content delivery Social network temporal dynamics Epidemic propagation on graphs Recent publication trends highlight his expertise in similarity caching algorithms, federated learning, re-identification attacks, and generative AI applications in information retrieval. His work spans both theoretical modeling and practical implementation in real-world networks. Scientific recognition: Best Paper Award at IEEE Globecom (2002) Multiple IEEE/ACM conference awards (2006, 2012) Guest Editor for IEEE special issues Editorial board member of IEEE Transactions Teaching and mentoring: Main teacher for PhD courses in Electrical, Electronic and Communications Engineering, including Stochastic processes and queuing theory and Operational research . Supervised PhD student Franco Galante (2020-2024) on social interaction modeling. Labs and collaborations: Member of TNG research group at DET. Participated in European projects like NAPA-WINE (FP7), COOPERATION-ICT, and national PRIN initiatives. Industry collaborations with Lucent, IBM, Microsoft Research, and NEC.

• Quantum Information Science
• Quantum Mechanics
• Quantum Communication
• +۳ مورد دیگر

Dr. N. Metwally is a prominent researcher affiliated with the Faculty of Science at the University of Bahrain , with additional ties to Aswan University, South Valley University, and Ludwig-Maximilians-Universität München. His work focuses on quantum information science, particularly in quantum communication, entanglement, and decoherence. Quantum Communication Entanglement Dynamics Decoherence Quantum Metrology Non-Markovian Quantum Systems Research trends in his publications highlight advancements in two-qubit systems, quantum Fisher information, and noise-resilient communication protocols. His work has been sponsored by leading organizations like the Japan Society for the Promotion of Science and the National Science Foundation. Scientific Awards & Sponsorships : Japan Society for the Promotion of Science National Science Foundation National Natural Science Foundation of China Alexander von Humboldt-Stiftung

• Computer Networking
• Internet Video Streaming
• Quality of Service
• +۴ مورد دیگر

Hui Zhang is a Professor in the School of Computer Science at Carnegie Mellon University, where he has made significant contributions to networking research for over two decades. He received his PhD from the University of California, Berkeley in 1993 and has maintained a prominent research career focusing on internet protocols, video streaming, and network management. His research interests span computer networking, internet video streaming, quality of service, content delivery networks, network protocols, multimedia communication, and network management. Professor Zhang's work has been particularly influential in developing adaptive video streaming technologies and content delivery mechanisms that power much of today's internet video infrastructure. His recent publications demonstrate continued innovation in networked systems, with a focus on improving video quality of experience through machine learning techniques and advanced network control mechanisms. The research trends show an evolution from foundational network protocol design to more application-focused solutions for video delivery and user experience optimization. Professor Zhang has mentored numerous successful researchers who have gone on to make their own significant contributions to the field. His collaborative work spans multiple institutions including Carnegie Mellon University, University of California, and various industry research labs. His research has been supported by substantial grants from NSF, industry partnerships, and has resulted in technologies that have been widely adopted in commercial video streaming services. Professor Zhang maintains an active research laboratory focusing on next-generation networked multimedia systems.

Jun (Jim) Xuمشاهده پروفایل

استاد

• Computer networking
• cloud computing and networking
• randomized algorithms

Jun (Jim) Xu serves as a Professor in the School of Computer Science at the Georgia Institute of Technology, where his research centers on Network Algorithmics—the science of designing high-speed Internet routers, firewalls, and network measurement systems. His work bridges theoretical computer science with practical infrastructure development. His core research spans Computer networking, cloud computing and networking, and randomized algorithms, with a focus on optimizing network device performance under high-speed data constraints. This includes developing algorithmic solutions for real-time traffic management and security mechanisms in modern network architectures. His notable scientific recognitions include: ACM Sigmetrics 2004 Best Student Paper Award ACM Distinguished Scientist designation (awarded 2010) While details of current student advising and grant funding are not publicly specified in available sources, his research impact is evidenced through foundational contributions to network algorithm design. No information is available regarding laboratory affiliations or collaborative research teams.

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.

• Cybersecurity
• Network Security
• Vulnerability Analysis
• +۴ مورد دیگر

Mengyuan Zhang is an Assistant Professor in Computer Systems at the Faculty of Science, Vrije Universiteit Amsterdam, and a member of the Network Institute. Her research focuses on cybersecurity, network security, vulnerability analysis, and network function virtualization. Specific interests include zero-day attacks, attack surface reduction, and security mechanisms for embedded systems and IoT devices. Her work explores cross-regional security practices, router configuration habits, and firmware vulnerabilities. Notable contributions include analyzing default router settings, developing vulnerability assessment tools (e.g., VIET), and studying cross-platform authentication mechanisms. She has published widely in top venues like IEEE Internet of Things Journal, CHI, and NordSec. Current courses taught include Network Security, Security and Safety Engineering, and Software Threat Analysis. Collaborations span international teams, with a focus on improving network resilience against emerging threats.

• Cybersecurity
• Network Security
• Internet Infrastructure
• +۳ مورد دیگر

José Jair Cardoso de Santanna is an Assistant Professor specializing in the Design and Analysis of Communication Systems. His research focuses on cybersecurity, network security, and internet infrastructure resilience. He has contributed to understanding attacks on low-cost routers, darknet visibility, and the effectiveness of DDoS mitigation strategies. His work bridges theoretical cybersecurity frameworks with real-world applications, addressing modern challenges in network defense and threat detection. Key research interests include cyber attack analysis, honeypot technologies, and the impact of geopolitical events on internet infrastructure. He has explored topics such as MikroTik router vulnerabilities, automated attack classification, and the visibility of darknet activities for security monitoring. His research has been published in venues like the ACM Internet Measurement Conference and IEEE Network Operations and Management Symposium. Collaborations involve institutions and researchers globally, focusing on practical solutions for network security challenges. No scientific awards or grants are explicitly listed in the provided materials. He has supervised one research work, though specifics are not detailed here.

Mohamed Sedkyمشاهده پروفایل

استاد

• Computer Vision
• Video Analytics
• Cyber-Physical Systems
• +۴ مورد دیگر

Professor Mohamed Sedky holds the position of Professor of Cyber-Physical Systems at Staffordshire University. He previously founded SKM Communication Systems and served as a lecturer at the Arab Academy for Science and Technology before joining Staffordshire in 2003. His roles include MSc Computer Science Deputy Award Leader and BSc Internet of Things Award Leader. He leads research at AVA Technologies Ltd, focusing on real-time video analytics algorithms such as Spectral-360®, which addresses security, safety, and business intelligence applications. His patented work in object detection and change detection has been globally recognized. He teaches modules like Fundamentals of Computer Networks and Router Security Technologies. Education: BEng (Hons) Electro-Physics and Communications, Alexandria University (1996) MSc Communications and Electronics, Arab Academy for Science and Technology (2002) PhD Computer Vision, Staffordshire University (2009) PGC Research Supervision, Staffordshire University PGC Higher and Professional Education, Staffordshire University Research Interests: Object recognition/segmentation Video surveillance systems IoT forensic processes AI in healthcare and smart environments Commercial Ventures: Founder of Spectral-360® technology Lead Researcher at AVA Technologies Ltd Consultant for Serco, Centralweighing, and WMTN Labs & Projects: Developed AVA Technologies' Detect/Protect/Count/Summarise solutions Designed OpenSHS (Open Smart Home Simulator) Conducted feasibility studies for buried utility detection and industrial inspection His research bridges academia and industry through patented innovations in video analytics and IoT systems, addressing challenges in security, healthcare, and smart infrastructure.