Find Academic Supervisors

Dmitri PerkinsView profile

Professor

• Wireless Communications
• Mobile Networking
• Network Security
• +4 more

Dmitri Perkins is a Professor at the Department of Computer Science and Electrical Engineering within the College of Engineering and Information Technology at the University of Maryland, Baltimore County (UMBC). He has held leadership roles including Senior Program Director at the National Science Foundation (2021-2024) and Lead Program Director for the NSF's Industry-University Cooperative Research Centers (2015-2019). His research spans wireless and mobile networking paradigms, including cognitive radio, sensor networks, and large-scale heterogeneous systems. Ph.D., Computer Engineering, Michigan State University (2002) M.S., Computer Engineering, Michigan State University (1997) B.S., Computer Science, Tuskegee University (1995) His research focuses on adaptive protocol design , spectrum management , and network security . Key areas include dynamic spectrum access , cross-layer optimization , and formal performance evaluation in wireless systems. Publications highlight innovations in cognitive radio networks , IoT protocols , and secure wireless communication . Recent publications emphasize machine learning for spectrum efficiency , edge computing in heterogeneous networks , and security frameworks for wireless systems. The 15 most recent works (2002-2018) demonstrate expertise in protocol design , network scalability , and spectrum optimization . NSF CAREER Award (2005) NSF Director's Award for Superior Accomplishment (2024) ONR Research Fellow, U.S. Naval Research Lab (2013-2014) He leads a research lab at UMBC offering RA positions in spectrum research , IoT/CPS systems , and wireless cybersecurity . Prior to UMBC, he served as Hardy Edmiston Endowed Professor at the University of Louisiana at Lafayette and held roles at the U.S. Naval Research Laboratory.

Beichuan ZhangView profile

Professor

• Computer networks
• Internet routing architecture and protocols
• Internet topology
• +1 more

Beichuan Zhang serves as Associate Department Head and Professor in the Department of Computer Science at the University of Arizona, maintaining office GS 723 with contact details 520-621-4817 and bzhang@cs.arizona.edu. His academic leadership spans network architecture research and departmental administration within the university's computing ecosystem. Zhang holds a Ph.D. from the University of California at Los Angeles (2003), establishing his foundation in advanced networking systems. His doctoral work catalyzed a career focused on internet infrastructure evolution. Research centers on computer networks with specific expertise in Internet routing architecture, protocols, topology, and multicast systems. Zhang is a principal investigator in Named Data Networking (NDN), driving innovations in stateful forwarding planes, in-network caching (e.g., Nb-cache, BLEnD), and congestion control mechanisms. His work bridges theoretical networking models with practical implementations for wireless, satellite, and live-streaming environments. Analysis of 2021-2025 publications reveals strategic expansion into Low Earth Orbit satellite networks, where Zhang pioneers NDN adaptations for handover resilience and outage detection. Concurrently, his group optimizes video streaming protocols and wireless performance through interest bundling techniques. This dual trajectory demonstrates systematic progression from terrestrial networking to space-ground integrated architectures.

Amitabh MishraView profile

Adjunct Professor

• Computer-Communication Networks
• Wireless Networks
• Network Security
• +5 more

Amitabh Mishra is an Adjunct Professor at the University of Delaware. His research focuses on three core areas: computer-communication networks (wireless architectures, cross-layer design, mobile cloud computing), network performance analysis (stochastic models, numerical optimizations), and network security (vulnerability assessments, authentication protocols). He has contributed to interdisciplinary fields including IoT security, smart healthcare frameworks, and socio-technical systems analysis. His work spans technical domains like wireless sensor networks, tactical network management, and quantum dot material studies, alongside applied research in tourism economics, healthcare data analytics, and educational technology. Notable contributions include frameworks for energy-efficient physiological monitoring, secure IoT configurations, and machine learning-driven security protocols. Recent research highlights include: Developing secure mobile cloud computing paradigms Modeling Multipath TCP capacity bounds using stochastic theory Investigating AI applications for deepfake ethics and tourism marketing His publications span technical journals in computer networks, medical IoT systems, and interdisciplinary studies in cultural tourism and climate change resilience.

Yan (Cindy) SunView profile

Lecturer

• Wireless Network Protocols
• Mobile Ad Hoc Networks (MANET)
• Energy Efficiency in IoT
• +3 more

Dr. Yan (Cindy) Sun is a Lecturer in Telecommunications at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on routing strategies for ad hoc wireless networks, energy efficiency in IoT systems, and cross-layer design for next-generation wireless networks. She teaches modules on Ad Hoc Networks and Telecommunications Systems, emphasizing protocols like TCP/F, MANET routing (DSDV/ABR/AODV), and wireless broadband access technologies. Research Interests: Optimized routing in heterogeneous wireless environments Energy-saving mechanisms for IoT devices Cross-layer protocol design for 5G/6G networks Her publications (2017-2023) address VANET privacy, game-theoretic intrusion detection, and mMTC network optimization. Active in both theoretical and applied research, she has contributed to eHealth systems integrating wearable sensors with IoT frameworks. Teaching responsibilities include modules taught in collaboration with BUPT (Beijing), covering information theory, queuing theory, coding principles, and wireless network fundamentals.

Michel MAROTView profile

Professor

• Networking
• Wireless Communication
• Performance Evaluation
• +5 more

Professor Michel MAROT is affiliated with Telecom SudParis, where he holds the position of Professor in the NeSS department. His research focuses on networking, wireless communication systems, performance evaluation, smart grids, and machine learning applications in telecommunications. MAROT has contributed to advancements in vehicular networks (VANETs/V2V), IoT architectures (LoRaWAN), and energy-efficient protocols for wireless sensor networks (WSNs). He has led studies on coalition formation in smart grids, reinforcement learning for policy optimization, and network resource management in 6G systems. Key research areas include optimizing network performance through cross-layer design, improving QoS in mobile and vehicular environments, and deploying intelligent reflecting surfaces (IRS) for 6G. His work frequently addresses challenges in mobility management, collision avoidance, and energy efficiency in distributed systems. MAROT has co-authored influential papers in journals like Neurocomputing, IEEE Transactions on Smart Grid, and IEEE Open Journal of the Communications Society. His research group (SAMOVAR/NeSS) develops practical solutions for real-world networks, including cold chain monitoring systems using sensor networks and DNS-based optimizations for SCHC protocols. MAROT’s recent work explores machine learning embedded in LPWAN sensors and mobility-aware resource allocation in LoRaWAN.

• Computer Security
• Industrial Control Systems Security
• Wireless Sensor Network Security
• +5 more

Ernest Foo is an Adjunct Associate Professor in the School of Computer Science at Queensland University of Technology (QUT), within the Faculty of Science. His research focuses on cybersecurity, particularly in industrial control systems, wireless sensor networks, and vehicular communication systems. He holds a PhD from QUT and has extensive experience in network communications and information security education. Research Interests: • Industrial Control Systems Security • Smart Grid Security • Wireless Sensor Networks • VANET (Vehicular Ad Hoc Network) Security • Intrusion Detection Systems • Cyber-Physical Systems Key Projects: • ARC Linkage grant with Powerlink (electricity transmission authority) • SCADA security laboratory design and development • Research on IEC 61850 substation automation standards Awards: • Best Paper Award at the 2nd International Cyber Resilience Conference (2015) Teaching Contributions: • Courses: Networks, Network Planning, Security Technologies • Guest lectures in Unix Network Administration and Security Labs and Facilities: • QUT SCADA security research laboratory

Andrey I. LyakhovView profile

Professor

• Wireless Networks
• IEEE 802.11 Protocol
• Network Performance Analysis
• +3 more

Andrey I. Lyakhov is a Professor and Doctor of Computer Science at the Institute for Information Transmission Problems of the Russian Academy of Sciences. He serves as the Head of Laboratory №18 and has been active since 1959. His research focuses on wireless networks, particularly IEEE 802.11 and 802.16 protocols. Position: Laboratory Chief Affiliation: Institute for Information Transmission Problems, Russian Academy of Sciences Research Interests: Wireless Networks, MAC Protocol Analysis, Network Performance, Distributed Control, Multicast QoS, Channel Assignment His work includes analytical modeling of data transmission, beaconing in mesh networks, and studies on network unfairness and congestion. He has contributed to patents in wireless sensor networks and piconet beacon management. Notable publications span wireless LANs, WiMAX, and sensor network optimization. Lyakhov's research has involved collaborations with international conferences and journals, focusing on throughput estimation, channel contention, and quality of service in wireless systems. Recent publications include studies on bandwidth piggybacking (2010), intra-flow interference in mesh networks (2010), and multicast QoS support in WLANs (2007). Earlier works from 1983-2008 cover foundational topics in queueing theory, cache efficiency, and distributed control systems.

Alexander L. WolfView profile

Professor

• distributed systems
• networking
• software engineering
• +3 more

Alexander L. Wolf is the Dean of the Baskin School of Engineering and a Distinguished Professor of Computer Science and Engineering at the University of California, Santa Cruz. He holds a B.A. in Geology and Computer Science from Queens College (CUNY), and M.S./Ph.D. degrees from the University of Massachusetts Amherst. His career includes foundational roles at AT&T Bell Laboratories, the University of Colorado (where he held the Charles Victor Schelke Chair), the University of Lugano (founding the Faculty of Informatics), and Imperial College London. Wolf's research bridges distributed systems , networking , and software engineering , with recent projects in cloud computing, data-center networking, and mobile ad hoc networks (MANETs). His work emphasizes scalable architectures, fault tolerance, and adaptive service deployment. Key projects include HARNESS (hardware-enhanced cloud systems) and SERECA (secure cloud enclaves). His publications focus on optimizing networked systems, fault localization, and adaptive resource management. Trends include rigorous simulation-based validation, cross-layer optimization (e.g., integrating GPUs/networking), and practical applications in geosciences (Reverse-Time Migration) and machine learning (Bing's AdPredictor). Awards: ACM/IEEE/AAAS Fellow; Royal Society-Wolfson Research Merit Award; Two-time ACM SIGSOFT Research Impact Award; ACM SIGSOFT Outstanding Research & Distinguished Service Awards. Wolf leads major grants (e.g., EU H2020 SERECA, EPSRC NaaS) and has chaired ACM's Executive Committee. He founded ACM's Europe Council and contributed to seminal tools like the Siena publish/subscribe system. His team develops experimental platforms (e.g., Weevil for distributed testbeds) and collaborates with industry (AT&T, Microsoft Bing).

Martin KlapezView profile

Assistant Professor

• Computer Networking
• Vehicular Communication Systems
• 5G Networks
• +4 more

Martin Klapez is an Assistant Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering Enzo Ferrari. He holds an M.S. in Theoretical Computer Science from the University of Bologna and a Ph.D. in Information and Communication Technologies (ICT) from the University of Modena and Reggio Emilia. His primary research focuses on computer networking, particularly safety-related V2X communications, public safety networks, and energy-efficient 5G architectures. He leads the UNIMORE Networking Lab and is involved in experimental evaluations of protocols like IEEE 802.11p for vehicular networks, TCP performance optimization over wireless, and green 5G design. Key research contributions include studies on TCP congestion control algorithms, energy footprint analysis of multi-RAT cellular systems, and field trials for safety-critical applications. His work bridges theoretical networking principles with practical implementations, including experiments in data visualization and smart infrastructure testing. Klapez has taught advanced courses on SDN, network emulation, and ns-3 tool usage at the university. He collaborates actively with international conferences and publishes widely in IEEE journals and forums. His technical expertise spans network softwarization, resource pooling in SDN, and middleware development for mission-critical networks. Current projects include LTE-V2X field tests for vulnerable road user safety and optimizing TCP modules like BBR and Small Queues for wireless environments. He contributes to standardization efforts through practical validation tools like Earthcloud for IoT seismic alerts.

Suprakash DattaView profile

Associate Professor

• Bioinformatics
• Computer Networks
• Parallel and Distributed Computation
• +7 more

Suprakash Datta is an Associate Professor and Associate Dean Academic and Students at the Lassonde School of Engineering , York University , specializing in Electrical Engineering & Computer Science . His research spans Bioinformatics , Computer Networks , and Parallel & Distributed Computation . Contact: datta@eecs.yorku.ca Location: CSEB 3043, 4700 Keele Street, Toronto, ON M3J 1P3 Education B.Tech (E&ECE), IIT Kharagpur, India M.Tech (CSE), IIT Kharagpur, India Ph.D. (CS), University of Massachusetts at Amherst, USA Research Interests Dr. Datta's work focuses on communication networks and bioinformatics . He investigates mathematical models for packet-dropping networks, sensor network routing algorithms for realistic battery models, and genomic signal processing techniques for DNA sequence analysis. His recent projects include: Wireless Sensor Networks : Energy-efficient routing, MAC protocols, and hardware implementation challenges. Genomic Signal Processing : Deterministic algorithms for gene prediction, clustering microarray data, and modeling email virus spread. Network Algorithms : Competitive analysis of TCP, active queue management, and multicast tree inference. Recent Publication Trends Over the last decade, his publications have emphasized vehicular networks , evolved features for DNA classification , and connectivity-based positioning algorithms . Key themes include energy efficiency , localization in mobile networks , and theoretical bounds for network protocols . Students & Teaching Dr. Datta has supervised numerous M.Sc. and Ph.D. students in topics like wireless sensor routing and genomic algorithms. He teaches courses including CSE 2001 and has served as ACM programming contest coach.

• Communication Technologies
• Electronics
• Internet of Things (IoT)
• +5 more

Jon Legarda Macon serves as a Lecturer and researcher at the University of Deusto's Faculty of Engineering within the Department of Computing, Electronics and Communication Technologies. Holding a PhD in Engineering from the University of Navarra (2004), he leads research initiatives focused on industrial communication technologies and sustainable systems. His research spans communication technologies, electronics, and IoT systems with specialization in energy harvesting, data spaces, and environmental impact reduction. Current work emphasizes data spaces applied to improving environmental and social impacts across industrial, energy, and governance environments, with significant contributions to textile antennas, RF energy harvesting, and sustainable supply chain solutions. His publication portfolio shows strong emphasis on wireless communication systems (35%), energy harvesting technologies (25%), and sustainable applications (20%), with recent work pivoting toward blockchain applications in energy markets and computational intelligence for agrifood systems. Dr. Legarda has supervised 10 doctoral theses across topics including textile rectennas, energy harvesting optimization, and wireless sensor networks. His research is supported by numerous competitive grants including EU Horizon projects (PARITY, FOODRUS), Spanish national programs, and regional Basque initiatives totaling over €15 million in funding since 2012. He actively contributes to the Deusto Sustainable Research Group and leads multiple industrial collaborations through projects like URETIK (energy-efficient greenhouse platforms) and SIONIA (real-time bird identification systems), focusing on practical implementations of sustainable IoT solutions.

• Computer Networks
• Machine Learning
• Artificial Intelligence
• +5 more

Hala ElAarag is a Professor of Computer Science at Stetson University, located in Deland, Florida. She holds a PhD from the University of Central Florida (2001) and MS/BS degrees from Alexandria University (1991/1989). Her research focuses on computer networks, machine learning, cybersecurity, and computer science education. She has authored over 70 publications and 11 edited books, including her notable work Web Proxy Cache Replacement Strategies Simulation, Implementation, and Performance Evaluation . ElAarag has served in leadership roles, such as President of the Consortium of Computing Sciences in Colleges (2016-2018) and Vice President (2014-2016). She has also been active in organizing conferences, including co-chairing the Communication and Networking Simulation Symposium and Spring Simulation Multiconference. Her teaching philosophy emphasizes hands-on learning, reflected in her development of 15 computer science courses, including core and specialized subjects like Computer Networks and Algorithms Analysis. Her research trends span algorithm optimization, network security, and autonomous systems, with recent work in AI-driven password cracking and quadrotor modeling. Awards include the IEEE Region 3 Biedenbach Award (2022) and multiple teaching and service recognitions. She has mentored numerous students and contributed to STEM outreach through initiatives like the Tech Trek Coordinator for middle school girls (2021-2023). ElAarag’s contributions extend to editorial roles in journals like Journal of Computing Sciences in Colleges and Simulation: Transactions of SCS . Her work bridges academic research and practical application, emphasizing pedagogical innovation and interdisciplinary collaboration.

• Probability and Statistics
• Signal Processing (Images/Video)
• TCP Modeling/Ad hoc Networking
• +3 more

Riedi Rudolf is a Full Professor at the Haute école d'ingénierie et d'architecture de Fribourg, affiliated with the iSIS Institute for Intelligent and Secure Systems. His primary role involves academic leadership in telecommunications and signal processing education. His research focuses on wireless network capacity, network coding limitations, and stochastic processes with a focus on fractal/multifractal systems. Key projects include co-leading a CHF 167k project (2011-2013) on predictive caching for time-series storage and collaborating on a CHF 220k metadata mining initiative (2009-2012) involving data mining and cryptography. His work bridges theoretical foundations (e.g., Brownian motion properties) with applied telecommunications solutions like pathChirp bandwidth estimation tool. Received Best Student Paper Award for pathChirp research Published extensively in IEEE Transactions and Wiley's Encyclopedia of Environmetrics

Veselin RakocevicView profile

Senior Lecturer

• Multihop Wireless Networks
• Vehicular Networks
• Ad-hoc Networking
• +5 more

Dr. Veselin Rakocevic is a Senior Lecturer in Electronic Engineering at City, University of London (post-merger with St George's). He holds a PhD in Telecommunications from Queen Mary, University of London (2002) and a Dipl-Ing in Electrical & Electronic Engineering from the University of Belgrade (1998). At City, he has served as Head of Department (2015-2018) and Associate Dean for Portfolio Development (since 2023). PhD: Telecommunications, Queen Mary, University of London (2002) Dipl-Ing: Electrical & Electronic Engineering, University of Belgrade (1998) His research focuses on multihop wireless networks , including optimal scheduling , dynamic clustering , cooperation mechanisms , and network self-organisation . Applications span vehicular networks , heterogeneous cellular networks , and energy network optimisation . Over 15 years, his publications demonstrate expertise in 5G/LTE-A protocols , VANET security , and transport-layer multipath tunneling . Recent article trends highlight 5G congestion control , machine learning for traffic identification , and game theory applications in rural wireless networks . He has supervised 12 PhD students with topics covering network optimization , QoS management , and mobile security . Major projects include REACH (EU-India rural broadband) and Wireless Networks for Moving Objects (EU COST Action).

Edoardo S. BiagioniView profile

Associate Professor

• Networking
• Wireless Networking
• Network Security
• +9 more

Edoardo S. Biagioni is an Associate Professor at the University of Hawaii in the Department of Information and Computer Sciences , where he has been since 1997. His primary research focuses on decentralized networking , wireless security , and systems programming , with long-term projects including the Allnet project (since 2011) and earlier PODS micro-sensor networks (2000-2003). Current research since 2024 includes formal verification of file systems and correctness properties in systems programming Technical interests span protocol decomposition , language-based OS design , and congestion control Teaching emphasizes Java fluency , data structures , and algorithm complexity in courses like ICS 211 Prior roles included directing the Advanced Network Computing Laboratory (1997-2005) and contributions to the Fedora Core project. Students under his supervision have worked on projects ranging from network measurement to ATM transport protocols . His work bridges theoretical concerns like IP fragmentation theory with practical implementations in SML database systems and IPv6 transitions .