Find Academic Supervisors

• Cloud Computing
• Machine Learning
• Artificial Intelligence
• +7 more

Dr. Prasad Calyam is the Greg L. Gilliom Professor of Cybersecurity in the Department of Electrical Engineering and Computer Science at the University of Missouri-Columbia. He also serves as Director of the Center for Cyber Education, Research, and Infrastructure (Mizzou CERI). His research focuses on Cloud Computing, Machine Learning, Artificial Intelligence, Cyber Security, and Advanced Cyberinfrastructure. He has led over $39 million in sponsored projects from NSF, DOE, NSA, and industry partners. Dr. Calyam's work emphasizes interdisciplinary collaboration, particularly in cybersecurity education for neurodivergent populations, drone networking, and blockchain-based systems. He has developed tools like 'Narada Metrics' for network monitoring and contributes to platforms like FlyNet for drone applications. His publications span AI-driven cybersecurity solutions, VR-based learning environments, and edge computing optimization. He holds IEEE Senior Member status and serves as an Associate Editor for IEEE Transactions on Network and Service Management. His recent projects address tactical edge network security, federated learning for drone swarms, and AI-driven anomaly detection. He actively fosters inclusive cybersecurity education through VR curricula and collaborates on medical data governance frameworks.

Lingfen SunView profile

Visiting Associate Professor

• Multimedia Communications
• Networking
• Machine Learning
• +4 more

Dr. Lingfen Sun is a Visiting Associate Professor at the University of Plymouth's School of Engineering, Computing and Mathematics. Previously serving as a Reader (Associate Professor), she specialized in Multimedia Communications and Networks. Her research focuses on Quality of Experience (QoE) management in multimedia services, healthcare technology applications (e.g., EEG/MRI-based biomarkers for Alzheimer’s and Parkinson’s diseases), and cloud security frameworks. She has supervised over 20 PhD/ResM students, contributing to advancements in SDN/NFV networking, AI-driven medical diagnostics, and adaptive video streaming. Teaching responsibilities include Advanced Routing, Machine Learning, and Multimedia Networks modules. Her work addresses critical areas such as QoE-centric network management in 5G systems, healthcare cloud security maturity models, and explainable AI applications in medical imaging. Notable projects include the M2HCS framework for healthcare cloud security and QoEMultiSDN architecture for multimedia service optimization. Her research spans 17+ years, with contributions to video quality prediction over wireless networks, EEG biomarker development, and SDN-based solutions for multimedia traffic. She has maintained academic-industry collaborations in telecommunications and healthcare technology sectors.

Saptarshi DebroyView profile

Associate Professor

• Computer Networking
• Network Security
• Big Data Networking
• +9 more

Saptarshi Debroy is an Associate Professor of Computer Science at Hunter College and a member of the Doctoral Faculties at The Graduate Center, CUNY. He leads the Distributed Systems and Security (DiSSect) Lab and co-leads the CoSSMO Lab, focusing on resilient distributed systems, edge computing, and cyber security. His research addresses challenges in disaster response systems, federated cloud workflows, and moving target defense mechanisms. He holds a PhD in Computer Engineering from the University of Central Florida and has held roles including Post-Doctoral Fellow at the University of Missouri. Education: PhD (Computer Engineering, UCF, 2014), MTech (Distributed & Mobile Computing, Jadavpur University, 2008), BTech (Information Technology, West Bengal University of Technology, 2006) Research Interests His work spans distributed systems, edge/AI-driven networks, cyber security, and resource optimization in disaster scenarios. Key areas include fog computing frameworks for real-time video processing (EFFECT), secure federated workflows (ADON), and MTD-based cloud defense strategies. He emphasizes practical applications like disaster response and healthcare data security. Grants & Awards Recipient of NSF CAREER Award (2020), NSF grants totaling over $1.1M, and Google Research Award. Notable projects include a trusted framework for health incident response (NSF), volunteer edge-cloud resource allocation (NSF), and DDoS mitigation strategies (NSF). Teaching & Service Teaches graduate courses on distributed systems, cloud computing, and networks at CUNY. Serves on NSF review panels and as chair for IEEE/ACM conferences. Leads initiatives like the Cyber Security Summer School for Women to promote diversity in tech. Labs & Collaborations Directs the DiSSect Lab, which develops edge-native systems for disaster response and secure AI. Collaborates with FDNY, perfSONAR, and NSF-funded testbeds like PAWR. Partnerships include projects with bioinformatics and high-performance computing communities (CyVerse, XSEDE).

Sven DietrichView profile

Professor

• Computer Security
• Network Security
• Cryptography
• +5 more

Sven Dietrich is a Professor in the Computer Science Department at Hunter College, CUNY. His affiliations include the Hunter Computer and Network Security Lab, CUNY Graduate Center (Doctoral Faculty), and the IEEE Cybersecurity Initiative. He has served in leadership roles such as Program/General Chair for multiple conferences including SADFE 2020 and SACMAT 2022. Education: Doctor of Arts in Mathematics (Adelphi University), with significant computer science work; MS and BS in Mathematics and Computer Science from Adelphi University. Research focuses on computer/network security, cryptography, anonymity, and privacy. Key areas include DDoS/malware analysis, cryptographic protocol verification, and IoT security. He has advised numerous PhD/master’s students and contributed to anti-phishing technologies via Wombat Security Technologies. Teaching includes courses on computer security, software design, and network forensics at Hunter College and CUNY Graduate Center. His work has led to impactful tools like VFuzz for IoT vulnerability detection and ZMAD for Z-Wave protocol security. Awards include a Best Paper Award at the 2008 Malware Conference for groundbreaking work on P2P botnet analysis. He actively participates in academic service through roles like IEEE Computer Society Board of Governors and multiple conference committees.

Arjuna MadanayakeView profile

Associate Professor

• Multidimensional systems
• Wireless communications
• Array processing
• +7 more

Arjuna Madanayake is an Associate Professor in the Department of Electrical & Computer Engineering at Florida International University (FIU), part of the College of Engineering. His research focuses on multidimensional systems, wireless communications, array processing, and analog computing. He holds a Ph.D. from the University of Calgary and B.S. from the University of Moratuwa, Sri Lanka. Dr. Madanayake's work emphasizes low-complexity algorithms for multi-beam beamforming, RF sensing, and FPGA implementations. His lab (RAND Lab) develops innovative solutions in terahertz communications, spectrum intelligence, and AI-driven signal processing. He teaches EEL 5500 Digital Communication Systems and collaborates on projects involving reconfigurable intelligent surfaces and 5G/6G technologies. His recent publications (2020–2025) address challenges in ultra-broadband communication systems, analog computing for PDEs, and spectrum management. He has contributed to IEEE journals and conferences, focusing on practical implementations in hardware and software-defined radio platforms.

John L. VolakisView profile

Professor

• Wireless Communications
• Antennas and Arrays
• Ultra-Wideband RF Techniques
• +7 more

John L. Volakis is a Professor of Electrical & Computer Engineering at Florida International University (FIU) and former Dean of the College of Engineering and Computing (2017-2023). He is an IEEE, ACES, AAAS, NAI, and URSI Fellow. His career spans over four decades, including roles at Boeing, University of Michigan, Ohio State University, and FIU. He has pioneered advancements in antennas, electromagnetic compatibility, and biomedical sensing. His research group has produced over 400 journal papers, 800 conference papers, and 8 books. He has mentored 95 PhD/postdoc students, many of whom became faculty or industry leaders. Education: Ph.D. (1982), M.S. (1979), B.E. (1978) from The Ohio State University and Youngstown State University. Key Roles: Former Director of Ohio State's ElectroScience Laboratory, Co-Director of FIU's RFCOM Lab. Research Interests: Focuses on wearable antennas, ultra-wideband systems, metamaterials, neurosensing, and electromagnetic compatibility. His work includes innovations in millimeter-wave arrays, EMI shielding, and bioelectromagnetics. Recent projects involve battery-free neural recording systems and STAR radio interference cancellation. Publications: Over 1,200+ publications across antennas, computational electromagnetics, and biomedical engineering. His 2025 papers address EMI shielding, LPD waveforms, and TCDA arrays. Awards: IEEE Antennas & Propagation Society Distinguished Award (2014), Chen-To Tai Educator Award (2011), and leadership roles in URSI and IEEE. Advising & Grants: Guided 43 students to best paper awards and secured $125M in external funding during his deanship. His RFCOM Lab develops advanced fabrication and measurement capabilities for phased arrays and biomedical sensors.

Ish JainView profile

Assistant Professor

• Next-generation Networks (6G and beyond)
• Wireless Communication Systems
• Wireless Sensing
• +8 more

Ish Jain is an Assistant Professor in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI), effective Fall 2024. He holds a PhD in Electrical and Computer Engineering from UC San Diego (2024), an MS from NYU (2018), and a BTech from IIT Kanpur (2016). His research focuses on next-generation wireless networks, combining communication, sensing, and security through experimental frameworks like mmWave testbeds. Key contributions include frequency-dependent multi-beam systems, mmWave localization for autonomous vehicles, and security against jamming/sensing spoofing. Education: PhD, UC San Diego (2018–2024) MS, NYU (2016–2018) BTech, IIT Kanpur (2012–2016) Research Interests: His work spans 6G Architecture (multi-beam frameworks, flexible frequency multiplexing), Wireless Sensing (localization, radar integration), and Security (jamming mitigation, spoofing defenses). He emphasizes practical deployments using open-RAN and programmable radios, with a focus on energy efficiency and scalability. Recognition: Qualcomm Innovation Fellowship VMware Research Grant Marconi Society Scholar Best Poster Award (Hotmobile 2023) 3-minute Thesis Winner (MobiSys/MobiCom) Current Courses: ECSE 4660/6660 Internetworking of Things (Spring 2025) ECSE 4560/6560 Modern Communication Systems (Fall 2025) Lab: Wireless Intelligent Systems Lab at RPI. Active in research centers like CMDIS. Collaborates widely via grants and industry partnerships.

Xenofontas DimitropoulosView profile

Associate Professor

• Internet Measurements
• Software Defined Networks
• Wireless Networks
• +3 more

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).

Giuseppe PiroView profile

Professor

• Wireless Communication
• Cellular Communication
• Information Centric Networking (ICN)
• +8 more

Giuseppe Piro is a Full Professor in Telecommunications at the Polytechnic University of Bari (Italy) and co-responsible of the Experimental Laboratory of Integrated Terrestrial and Non-Terrestrial Networks and Services (iTNT-NS) under the PNRR PE14 RESTART Partnership. He earned his first- and second-level degrees (both cum laude) in Telecommunications Engineering (2006 and 2008, respectively) and a Ph.D. in Electronic Engineering (2012) from Politecnico di Bari. His research spans mobile communication systems, integrated terrestrial/non-terrestrial networks, physical and network layer security, intent-based networking, Internet of Things (IoT), Software-Defined Networking (SDN), Information-Centric Networking (ICN), nano-scale communications, and network simulation tools. His work includes foundational contributions to 5G and 6G standards, notably as Principal Investigator for the PRIN project INSPIRE and Local Investigator for PNRR-funded initiatives like ISP5G+ Innovative Security Paradigms. His publications focus on wireless communication, network security, and IoT, with a strong emphasis on practical implementations (e.g., emulation testbeds, UAV-mounted metasurfaces, vehicular federated learning). He has received multiple Best Paper awards, including recognitions at IEEE ISCC (2024), IEEE SDS (2019), IEEE WD'12 (2012), and IEEE Standards Education e-Magazine (2014). He founded open-source network simulation tools like 5G-air-simulator, LTE-Sim, and NANO-SIM, and serves as Associate Editor for journals such as Internet Technology Letter , Wireless Communications and Mobile Computing , and Sensors . His collaborations span EU H2020 projects (FANTASTIC-5G, symbIoTe) and Italian national initiatives (PNRR, MIUR PON, MISE projects).

Jorge CobbView profile

Associate Professor

• Network Protocols
• Quality of Service in Networks
• Mobile Computing
• +6 more

Jorge Cobb is an Associate Professor in the Department of Computer Science at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. His research focuses on network protocols, quality of service (QoS), mobile computing, and distributed systems. He holds a Ph.D. from the University of Texas at Austin (1996), an M.A. (1989), and a B.S. (1987) from the University of Texas at El Paso. His research interests include design and implementation of network protocols, QoS in high-speed networks, mobile computing, and distributed systems. He has published extensively on topics like sensor networks, routing algorithms, and network stabilization. Recent work emphasizes fault-tolerant systems, barrier coverage in sensor networks, and SDN-based traffic engineering. Key awards include AT&T scholarships and fellowships from UT Austin. He has led projects such as CHAMPS (National Science Foundation) and contributed to optical network research. His teaching spans computer networks, database systems, and distributed systems at both undergraduate and graduate levels.

• Avionics Communications Networks
• Heterogeneous Wireless Networks
• Software-Defined Networks
• +4 more

Dr. Muhammad Ali is a Post-Doctoral Research Staff at the Future Ubiquitous Networks Lab, within the School of Computer Science, Artificial Intelligence & Engineering at the University of Bradford, UK . His academic journey includes a BSc in Computer Science (2006, Comsats University Islamabad), MSc (2007), and PhD (2013) in Mobile & Satellite Communications from the University of Bradford. He has held roles as a Research Assistant at the Future Ubiquitous Networks Lab (2011–2015), Lecturer in Electrical Engineering and Computer Science at the University of Bolton (2016), and Lead Software Developer at Direct2Success (2016–2018). His research focuses on avionics communications networks , software-defined networks , artificial intelligence , and embedded systems . He has contributed to over 33 publications, including peer-reviewed journals and conference papers across interdisciplinary fields such as medical research, materials engineering, and computer science. His work is supported by EU, UK Innovation, and industrial grants. Ali is affiliated with the Future Ubiquitous Networks Lab , where he explores cutting-edge projects in network security, heterogeneous wireless systems, and desktop application development. Despite no listed students or awards, his technical expertise spans project leadership and multidisciplinary collaboration.

• Artificial Intelligence
• Computational Modelling
• Data-Driven Modelling
• +9 more

Savas Konur is a Professor of Artificial Intelligence and Computational Modelling at the University of Bradford's Faculty of Engineering and Digital Technologies, serving as Head of the School of Computer Science, Artificial Intelligence and Electronics. Previously, he held roles as Lecturer, Senior Lecturer, and Reader at Bradford, and worked at the University of Sheffield and Liverpool. He earned his B.Sc. from METU (Turkey), M.Sc. from RWTH Aachen (Germany), and Ph.D. from the University of Manchester (UK). His research focuses on computational modelling, machine learning, software engineering, and high-performance computing with interdisciplinary applications in systems biology, membrane computing, and smart manufacturing. He has secured £1.5M as PI and £1.3M as Co-I in grants from EPSRC, Innovate UK, and others, fostering collaborations with industry and academia globally. He leads the Computational Modelling Research Group and serves on editorial and advisory boards including the Journal of Membrane Computing and International Membrane Computing Society. Prof Konur’s work spans cybersecurity, synthetic biology tools, and automation, evidenced by over 76 publications and 11 research projects. His research has garnered multiple awards and recognitions, reflecting his contributions to computational science and interdisciplinary innovation.

Kenneth CalvertView profile

Professor

• Computer Network Protocols
• Network Architectures
• Active Networks
• +2 more

Kenneth Calvert is a Professor in the Department of Computer Science at the Stanley and Karen Pigman College of Engineering, University of Kentucky. He holds a Ph.D. in Computer Sciences from the University of Texas at Austin (1991), an M.S. in Computer Science from Stanford University (1980), and an S.B. in Computer Science and Engineering from M.I.T. (1979). His professional appointments include roles as Division Director at the National Science Foundation (2016-2019), Interim Director of the Center for Visualization and Virtual Environments (2012–2014), and Chairman of the Computer Science Department (2007–2013). Calvert's research focuses on next-generation computer network protocols and architectures, active networks, network security, and formal methods. His work explores innovative approaches to internet infrastructure, including programmable networks, economic models for connectivity, and security frameworks. His recent publications demonstrate a consistent focus on network architecture evolution, with themes spanning software-defined networking, economic mechanisms for internet services, and privacy-preserving measurement techniques. These articles collectively advance scalable and secure communication systems. While no scientific awards are documented, his leadership roles at NSF and UKY underscore significant recognition. Advising activities and grant information are not detailed in the source material.

Michel BarbeauView profile

Professor

• Wireless Communications and Networking
• Underwater Communications
• Quantum Communications
• +4 more

Michel Barbeau is a Professor and Director at the School of Computer Science, Carleton University. He holds a Ph.D. in Computer Science from Université de Montréal (1991) and has held academic roles at Université de Sherbrooke (1991–1999) and a visiting position at the University of Aizu, Japan. His research focuses on non-classical wireless networks, including underwater acoustic communication systems, quantum networks, and resilience assessment of cyber-physical systems. He leads projects involving acoustic signal processing, underwater node communication, and challenges like multipath propagation in aquatic environments. His team tested prototypes in Ottawa’s Rideau Canal. His work spans underwater communication protocols, quantum encryption, and AI-driven network optimization. He is active on YouTube and Twitter, and his ORCID profile highlights interdisciplinary contributions. His research emphasizes practical applications in environmental monitoring, coastal navigation, and secure quantum communication frameworks. Education: Ph.D. Computer Science, Université de Montréal (1991) M.Sc. Computer Science, Université de Montréal (1987) B.Sc. Computer Science, Université de Sherbrooke (1985) Research Interests: Underwater Acoustic Networks Quantum Communications and Cryptography Cyber-Physical Systems Resilience Ad Hoc and Mobile Networks Machine Learning for Network Optimization His current projects address challenges such as signal interference in underwater environments and developing quantum-safe cryptographic algorithms. Collaborations involve interdisciplinary teams of students and researchers. Advancement and Grants: Lead projects on underwater surveillance systems Explores quantum encryption protocols for post-quantum security Investigates AI-driven solutions for UAV and MIMO networks Labs and Teams: His research group focuses on experimental prototyping, including underwater acoustic networks and quantum communication frameworks. Collaborations span academia and industry for real-world applications.

Marc St-HilaireView profile

Professor

• Telecommunication Network Planning
• Wired and Wireless Communication Networks
• Mobile Computing
• +7 more

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.