Find Academic Supervisors

Frank den HartogView profile

Research Professor

• Cybersecurity
• Critical Infrastructure Security
• Wireless Networking
• +8 more

Frank den Hartog is a Research Chair in Critical Infrastructure and Information Systems at the University of Canberra . He is also an Adjunct Fellow at UNSW Canberra (Australian Defence Force Academy) and has held academic roles including Associate Professor at the University of New South Wales. His career spans industry and academia, with expertise in cybersecurity, IoT, and wireless networking. Education PhD in Physics and Mathematics from Leiden University (1998) MSc in Applied Physics from Eindhoven University of Technology (1992) Research Interests: Dr. den Hartog focuses on Zero Trust Architectures , Physical Layer Security , and Secure Industry 4.0 , with a specialization in protecting Critical Infrastructure through advanced cybersecurity frameworks. His work bridges theoretical optimization with practical implementations in Cyber-Physical Systems and Programmable Networks . Academic Contributions: He co-authored 82 peer-reviewed articles and contributed to 67 standards, including 7 as co-editor. His publications reveal trends in Smart Home Security , AI-Defined Networking , and Trust Management in IoT , reflecting his commitment to securing interconnected systems. Teaching & Leadership: Dr. den Hartog supervised 7 Masters/Honours and 2 PhD students, served on 8 PhD exam committees, and was Chair of the Home Gateway Initiative's Technical Working Group (2012-2016). He actively participates in conference organizing committees and journal reviewing.

Nyo Thiri AungView profile

Research Fellow

• Machine Learning
• Deep Reinforcement Learning
• Edge Computing
• +7 more

Nyo Thiri Aung is a Postdoctoral Researcher at the Insight Centre for Data Analytics, affiliated with the Decision Making RC 6 research group. Her work focuses on interdisciplinary applications of artificial intelligence in vehicular networks, metaverse, and recommender systems. Fields of Interest: Machine Learning, Edge Computing, Metaverse, Blockchain, Vehicular Networks, and Recommender Systems Key Contributions: Pioneering research on deep reinforcement learning for metaverse-edge integration, hybrid recommendation systems in social IoT, and trust management in IoT networks Recent publications highlight her expertise in deploying AI for: Optimizing inference accuracy in distributed environments Developing blockchain-based solutions for vehicular networks Creating personality-aware recommendation systems Advancing 3D medical imaging techniques

Umakishore RamachandranView profile

Professor

• Distributed Systems
• Edge Computing
• Sensor Networks
• +5 more

Umakishore Ramachandran is a Professor in the School of Computer Science at Georgia Institute of Technology's College of Computing, where he directs the Embedded Pervasive Lab. He received his Ph.D. from the University of Wisconsin-Madison in 1986 and has led transformative initiatives including the Online MS in Computer Science (OMSCS) program. His research spans distributed systems, edge computing, and real-time sensor networks, with applications in smart surveillance and connected vehicles. His research interests include architectural design of parallel/distributed systems, large-scale situation awareness using camera networks, cloud-edge continuum optimization, and latency-sensitive applications for geo-distributed infrastructures. Recent work focuses on elevating edge computing to parity with cloud resources. His publications show strong emphasis on edge computing innovations (MicroEdge, FogStore), real-time video analytics (EVA, ClairvoyantEdge), and adaptive mobile systems (Foresight). Trends include multi-tier architectures, quality-of-experience optimization, and scalable processing for IoT workloads. Major Awards: IEEE Fellow (2014) NSF Presidential Young Investigator (1990) ACM/IFIP Middleware Best Paper (2022) 3x College of Computing Dean's Awards He has advised 40+ PhD students, with recent graduates at Google, Microsoft, and academia. Current NSF/CPS grants support his work on geo-distributed latency-sensitive applications. He co-leads the STAR Center and Samsung-funded embedded software programs. His Embedded Pervasive Lab develops systems like Stampede (stream processing) and DFuse (sensor fusion), with testbeds in the Aware Home and transportation networks. Teams collaborate with Intel, Microsoft, and Bosch on edge-AI deployments.

Tri Nhu DoView profile

Assistant Professor

• Wireless Communications
• Artificial Intelligence
• Machine Learning
• +6 more

Dr. Tri Nhu Do is an Assistant Professor in the Department of Electrical Engineering at Polytechnique Montréal, where he conducts cutting-edge research at the intersection of wireless communications and artificial intelligence. His academic journey spans institutions across Vietnam, South Korea, the United States, and Canada, bringing a global perspective to his work. Dr. Do is affiliated with the Advanced Microwave and Space Electronics Research Center (POLY-GRAMES) and contributes to the 'New Frontiers in Information and Communications Technologies' center of excellence. Dr. Do's research focuses on wireless communications systems, artificial intelligence applications in telecommunications, and integrated sensing and communication technologies. His work addresses critical challenges in next-generation wireless networks, particularly in security, resource allocation, and performance optimization. Recent research demonstrates a strong emphasis on applying deep learning, generative AI, and federated learning techniques to solve longstanding problems in wireless communications. His publication record shows remarkable productivity and impact, with numerous articles in top IEEE journals including IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, and IEEE Communications Letters. The research trends indicate a strategic shift toward integrating AI with traditional communication theory, particularly in security applications, reconfigurable intelligent surfaces, and UAV communications. Dr. Do teaches advanced courses in signal detection and estimation, communication theory, and digital transmission, sharing his expertise with the next generation of electrical engineers. His teaching reflects his research interests, providing students with both theoretical foundations and exposure to cutting-edge developments in the field.

• Cryptography
• Cloud Security
• Secure Outsourcing
• +3 more

Dr. Matluba Khodjaeva is an Associate Professor in the Department of Mathematics and Computer Science at John Jay College of Criminal Justice, City University of New York (CUNY). She is also a Graduate Faculty member in the Digital Forensics and Cyber Security program at John Jay and a Doctoral Faculty member in Computer Science at the CUNY Graduate Center. Her academic career is dedicated to advancing research in cryptography and training the next generation of cybersecurity professionals. Her educational background includes: Ph.D. in Computer Science / Cryptography from The Graduate Center, CUNY (2017) M.Phil. in Computer Science from The Graduate Center, CUNY (2017) M.S. in Computer Science from City College of New York, CUNY (2017) M.A. in Mathematics from Hunter College, CUNY (2011) B.A. in Mathematics from Hunter College, CUNY (2011) Dr. Khodjaeva's research focuses on cryptography, particularly secure outsourcing of computations to the cloud and the design of efficient cryptographic protocols for resource-constrained devices like RFID tags and embedded systems. Her work bridges theoretical security with practical applications, ensuring sensitive data protection in environments with limited computational power. She has made significant contributions to delegated computation, enabling secure and efficient offloading of cryptographic operations to cloud servers. Her recent publications (2018-2024) demonstrate a consistent focus on delegated computation, with an emphasis on pairing-based cryptography, RSA operations, and lattice-based schemes for post-quantum security. The research trends show increasing attention to practical implementations for IoT and cloud environments, with a strong emphasis on efficiency and security against malicious servers. Dr. Khodjaeva has received notable recognition for her scholarly work: Best Paper Award in Journal of Mobile Multimedia (2020) Second-Best Paper Award at the 4th Workshop on CPS&IoT Security and Privacy (2022) As an active researcher, Dr. Khodjaeva has secured multiple competitive grants to support her work. She has been the Principal Investigator (PI) for eight consecutive PSC-CUNY research grants from 2019 to 2026, totaling over $48,000, and served as Co-PI on a $299,993 NSF SaTC grant. Her grant portfolio reflects a sustained research program in secure delegated computation. In addition to her research, she is deeply committed to student mentorship through undergraduate and graduate courses, independent studies, and research projects in cryptography and cybersecurity. Although Dr. Khodjaeva does not lead a named research laboratory, she collaborates extensively with researchers including G. Di Crescenzo, D. Kahrobaei, and V. Shpilrain. Her research group consists of students and collaborators working on cutting-edge problems in cryptography, with opportunities for students to engage in funded projects and co-author publications.

Heh MiaoView profile

Assistant Professor

• Wireless Sensor Network Modeling
• Bioinformatics
• Computer Simulation
• +2 more

Heh Miao serves as Assistant Professor in the Department of Computer Science at Tennessee State University's College of Engineering, with office location in McCord Hall 005C (Main Campus). Contact is available via email hmiao@tnstate.edu or phone (615) 963-1521. His academic credentials include: MS in Computer Science, University of Arkansas (1997) MS in Mathematics, University of Arkansas (1995) BS in Mathematics/Mechanics, Zhongshan University, China (1982) Research spans Wireless Sensor Network Modeling (cross-layer design, MIMO optimization), Bioinformatics , Computer Simulation , Data Visualization , and Cloud Computing (resource allocation, energy efficiency). His work integrates theoretical protocol design with practical applications in mobile cloud environments and bioinformatics systems. Professor Miao maintains active research funding through significant grants: PI: 2009-2010 NIH grant on Developing Bioinformatics Programs ($43,046) Co-PI: 2010-2015 NIH grant on Developing Interdisciplinary Bioinformatics Programs ($193,575) Senior Personnel: NSF Targeted Infusion Grant ($300,000) for undergraduate bioinformatics Technical Support roles for U.S. Air Force and Army Research Office projects His research group engages in collaborative projects including the Senegal Community Service Learning Partnership with Higher Education for Development and Tennessee DOT traffic simulations, providing students with cross-disciplinary technical experience.

Justine SherryView profile

Associate Professor

• Networked Systems
• Middleboxes
• Congestion Control Algorithms
• +5 more

Justine Sherry is the A. Nico Habermann Associate Professor of Computer Science at Carnegie Mellon University (CMU). Her research focuses on networked systems across software and hardware layers, particularly middleboxes, congestion control, FPGA-based acceleration, and Internet fairness. Affiliations: Computer Science Department (CSD) , CyLab , SNAP Lab . Academic Rank: Associate Professor Her recent work explores radical shifts in datacenter architectures via SmartNICs, hardware-software co-design for network functions, and database proxy innovation using eBPF. She leads research on Internet fairness , denial-of-service mitigation , and high-speed intrusion detection through systems like Pigasus. Key scientific contributions span 15 recent publications at venues like SIGCOMM, OSDI, and VLDB, addressing topics such as: Mathematical fairness in congestion control KERNEL bypass strategies in FPGA SmartNICs BBR algorithmic unfairness Wireless latency optimization (Zhuge) Heterogeneous hardware performance analysis Open-source security infrastructure Major awards include: Sloan Research Fellowship VMWare Systems Award NSF grants Intel Outstanding Researcher Award Early Career Diamond from UW Engineering She mentors students in systems research, including Ranysha Ware , Nirav Atre , and Hugo Sadok , while collaborating with institutions like Google, Facebook, and DARPA.

Panagiotis PapadimitriouView profile

Associate Professor

• Software-Defined Networking
• Network Function Virtualization
• Cloud Networking
• +6 more

Panagiotis Papadimitriou serves as an Associate Professor at the Department of Applied Informatics, University of Macedonia in Thessaloniki, where he leads the NetCloud research group. Previously, he held positions as Assistant Professor at Leibniz University Hanover's Institute of Communications Technology and as a Post-Doctoral Researcher at Lancaster University (UK) and Telecom SudParis (France), with additional research experience at the University of Cambridge. His research spans Internet architectures and technologies with emphasis on Network Function Virtualization (NFV), Software-Defined Networking (SDN), Time-Sensitive Networking (TSN), Internet-of-Things (IoT), and Edge Computing. His work includes ML-assisted NFV orchestration (SFC-graph embedding, transformation, and multi-domain partitioning), network slicing orchestration, programmable dataplanes with P4, deterministic networks, datacenter network fabrics, and edge computing. Notable research outcomes include distributed network processing architectures (MIDAS, DistNSE), multi-provider service mapping mechanisms (Nestor), open-source NFV orchestration platforms (TeNOR), and orchestration platforms for cross-slice communication (MESON). His recent publications show a strong focus on In-Band Network Telemetry, Service Function Chain optimization, Time-Sensitive Networking implementations, and cross-slice communication systems, demonstrating his leadership in network virtualization and edge computing research areas. His work consistently addresses practical implementation challenges while advancing theoretical foundations in network management. Scientific Recognition: Senior Member of IEEE Associate Editor of IEEE Transactions on Network and Service Management Counselor of the IEEE Student Branch at University of Macedonia As Principal Investigator of the Horizon Europe NEPHELE project and previous EU-funded projects (NECOS, T-NOVA, CONFINE), he has secured over 1M euro in research funding. He actively contributes to the academic community through conference organization roles including IEEE ICC NGNI 2025, IEEE ICIN 2024, and IFIP/IEEE CNSM 2022 as General Co-Chair. The NetCloud research group he leads maintains a dedicated edge computing facility used for both research and teaching, and is known for its commitment to open-source software and community service through academic network resources. His educational background includes a Ph.D. in Electrical and Computer Engineering from Democritus University of Thrace (2008), an M.Sc. in Information Technology from University of Nottingham (2001), and a B.Sc. in Computer Science from University of Crete (2000).

• Computer Science
• Edge Computing
• Federated Learning
• +4 more

Xiang Su serves as Associate Professor in the Department of Agricultural Sciences and Docent in the Department of Computer Science at the University of Helsinki, while supervising the Doctoral Programme in Sustainable Use of Renewable Natural Resources. Her contact includes email xiang.su@helsinki.fi and phone +358504722824. Her research bridges computer science and sustainability, specializing in edge computing, federated learning, and 5G networks for Industrial IoT and transportation systems. Key applications include energy-efficient base stations, privacy-preserving edge inference, and autonomous vehicle interaction studies, all directed toward sustainable resource management through projects like InterEarth RESET. Recent publication trends show concentrated output in mobile/edge computing (9 articles in 2025), with strong representation in IEEE Transactions on Mobile Computing and Transportation Research journals. Her work demonstrates consistent growth in federated learning applications and transportation system modeling. She currently supervises doctoral students through the Sustainable Use of Renewable Natural Resources programme. Active funding includes the NordForsk project 'Active Nordic Univ Cooperation on Edge Intelli' (2024-2028) as Principal Investigator and the Academy of Finland's €2.8M 'InterEarth RESET' project (2023-2028) as core participant. Research is conducted through university departments and Nordic collaborative networks rather than a dedicated lab, leveraging the University of Helsinki's Biokeskus 3 facilities and cross-institutional partnerships for edge computing and sustainable resource applications.

• Cybersecurity and Privacy
• Artificial Intelligence
• Distributed Computing
• +6 more

Dr. Keshav Sood is a Senior Lecturer at Deakin University's School of Information Technology, where he leads research in cybersecurity, AI, and next-generation networks. His affiliations include roles as Graduate Research Coordinator and South Asia Country Coordinator. He completed his PhD at Deakin University and a post-doctoral fellowship at the University of Newcastle. Research Interests: Dr. Sood focuses on securing distributed systems, with emphasis on: Federated learning for intrusion detection in IoT/5G networks Biometric privacy in immersive technologies (VR/AR) RF fingerprinting for IoT device authentication Quantum-resistant software-defined networks Adversarial robustness in voice authentication systems His publications consistently explore AI-driven security frameworks, with recent work addressing data sparsity in IoT sensors, cross-domain IIoT authentication, and phishing mitigation using large language models. Awards: Professor of IT Award (2016) IEEE TNSE Excellent Reviewer (2023) Deakin HDR Supervision Award (2023) Course Team Award for Industry Certification Alignment (2021) Supervision & Grants: Dr. Sood currently advises 8 graduate researchers and has secured $655,313 in competitive funding. Key projects include: Smart Farming Cyber Resilience (DFAT Maitri Grant) Secure Access for Critical Infrastructure (Cyber CRC) IoT Data Integrity for Defense Systems (Australian Defence) He leads the Deakin Cyber Research and Innovation Centre, focusing on scalable security solutions for industry partners.

Semih ÇalView profile

Assistant Professor

• Wireless Communication Networks
• Internet of Things (IoT)
• Drone Networks
• +4 more

Semih Çal serves as an Assistant Professor in the Department of Engineering, Computer Science, and Physics at Otterbein University, specializing in wireless systems and distributed computing. His research bridges theoretical algorithms with practical IoT and drone network applications. Education: Ph.D. in Computer Science from Texas Tech University (2024) M.S. in Computing and Information Systems from Youngstown State University (2021) B.S. in Computer Software Engineering Technology from Sam Houston State University (2017) Dr. Çal's work centers on energy-constrained distributed systems, with emphasis on federated learning architectures for drone swarms and IoT edge networks. His expertise spans Lyapunov optimization for resource allocation, reliability-aware task offloading, and non-parametric statistical methods for database query processing. Current investigations focus on fault tolerance in reinforcement learning frameworks and knowledge distillation techniques for bandwidth-limited aerial networks. Publication analysis (2020-2024) reveals a dual-track research trajectory: 75% of recent work addresses drone/IoT networking challenges using federated learning and optimization theory, while 25% explores statistical foundations of database error estimation. Key thematic clusters include UAV-aided mobile edge computing, bootstrap sampling methodologies, and reliability engineering in distributed AI systems. Dr. Çal maintains active industry engagement through prior Turkish technology sector experience and current academic-industry collaborations. No formal advising roles or laboratory affiliations are documented in available materials.