Find Academic Supervisors

• Management Information Systems
• Educational Technology
• Artificial Intelligence in Higher Education
• +3 more

Rohini Balapumi is a Lecturer at the School of Management and Marketing, Faculty of Business and Law at Curtin University. She holds a PhD (Information Systems), MSc in Computer Science, and BSc (Computer Science with Honors), along with an Associate Fellowship from the Higher Education Academy (AFHEA). Her research focuses on educational technology, AI strategies in higher education, and self-regulated learning methodologies. She contributes to the Office of the Provost and teaches across multiple disciplines including Business, Law, and Science/Engineering. Her publications emphasize leveraging technology for business and education, including co-authoring Management Information Systems: Harnessing Technologies for Business & Society (2024). Research trends span AI-driven competitive advantage for universities, reflective learning practices, and ICT student learning behaviors. Recent work highlights post-COVID-19 strategies for HEIs and pedagogical innovations in assessment. Awards: Associate Fellow of the Higher Education Academy (AFHEA) Teaching spans diverse areas including the Centre for Aboriginal Studies, with active involvement in curriculum design and educational technology integration. Research collaborations include studies on self-regulation among ICT students and IPv6 network protocols.

Balakrishnan ChandrasekaranView profile

Assistant Professor

• Networked Systems
• Blockchain Technology
• Cybersecurity
• +3 more

Balakrishnan Chandrasekaran is an Assistant Professor in the Department of Computer Science at Vrije Universiteit Amsterdam, holding tenure-track status. He previously served as a Senior Researcher at the Max-Planck-Institut für Informatik in Saarbrücken, Germany. He earned his Ph.D. from Duke University in the United States. His research focuses on enhancing the performance and security of networked systems, with contributions spanning blockchain technology, latency reduction, and optical data center networks. Education: Ph.D. in Computer Science from Duke University (USA), followed by postdoctoral research at Max-Planck-Institut. His academic journey emphasizes both theoretical and applied networking challenges. Research Interests: Blockchain governance and transaction transparency Optimization of network congestion control (e.g., BBRv3) High-performance optical data center architectures Security implications of modern networking paradigms Recent work explores frameworks like Lighthouse for optical testbeds and analyses of blockchain transaction fairness. His publications address both foundational network principles and applied solutions for real-world systems. Teaching: Currently instructs courses on Network Security and Systems Seminar , integrating cutting-edge research into pedagogy. Labs/Teams: Leads projects in optical data center networking and blockchain security through collaborative frameworks like DEMO and VOXEL.

John HeidemannView profile

Research Professor

• Internet measurement
• Network security
• Network protocols
• +7 more

John Heidemann is a principal scientist at the University of Southern California/Information Sciences Institute (USC/ISI) and a research professor in the USC Computer Science Department. He leads the Analysis of Network Traffic (ANT) Lab, where his team studies how to observe and analyze Internet topology and traffic to improve network reliability, security, protocols, and critical services. Dr. Heidemann received his PhD in Computer Science from UCLA in 1995 and his BS from the University of Nebraska-Lincoln in 1989. His educational background laid the foundation for his extensive career in network research and development. His primary research interests focus on Internet measurement with applications in security and policy, and the design of network protocols for critical systems. He has made significant contributions to DNS security, DDoS defense mechanisms, Internet topology analysis, and network traffic monitoring. His work often bridges theoretical insights with practical implementations to address real-world networking challenges, particularly in the areas of Internet infrastructure security and reliability. Analysis of his recent publications reveals a strong emphasis on DNS security (particularly Anycast and DDoS defense), Internet measurement during global events like the COVID-19 pandemic, and the evolution of Internet protocols including IPv6 adoption. His research demonstrates a consistent pattern of addressing critical infrastructure vulnerabilities while developing practical, deployable solutions. Dr. Heidemann has received significant recognition for his contributions to the field: Senior member of the Association for Computing Machinery (ACM) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the IEEE Computer Society He teaches and advises students at the USC Computer Science Department and has secured substantial research funding from diverse sources including the National Science Foundation (NSF), Department of Homeland Security (DHS), and industry partners such as Amazon, Cisco, and Northrop Grumman. His current research portfolio includes PIMAWAT (Privacy in Internet Measurements), Internet-Map (Traffic Map for the Internet), and CLASSNET (Community Labeling and Sharing of Security and Networking Test datasets). At ISI, he leads the Analysis of Network Traffic (ANT) Lab, which brings together researchers from academia and industry to tackle challenging problems in network measurement, security, and protocol design. The lab has made important contributions to understanding Internet topology, DNS security, and methods for improving network reliability through careful observation and analysis.

René GlebkeView profile

Researcher

• Cyber-Physical Systems
• Industrial Control Systems
• Data Communication
• +3 more

René Glebke is a Researcher at RWTH Aachen University's Communication Systems Group (COMSYS), focusing on Cyber-Physical Systems (CPS). His work emphasizes reliable data communication for industrial control, critical infrastructure, and low-level packet processing. He is affiliated with projects like QuGrids (Quantum-based Energy Grids) and the Cluster of Excellence 2023 Internet of Production. Previously, he contributed to DFG SPP 1914 projects (e.g., REFLEXES, REDeFiNE). Teaching: Organized Practical Internet eXperience (PIX) Lab and seminars on Advanced Internet Technology. Awards: Best Paper (2012), Best Student Paper (2012), and a Best Paper Nomination (2021). Research Trends: Recent articles address energy grids, NILM domain bias, and in-network computing for industrial systems. Advising: Supervised 33 students across Bachelor’s/Master’s theses and 34 seminar topics. Active in lab organization (e.g., Research Focus Class on In-Network Processing). Labs/Teams: Core member of COMSYS, involved in the Internet of Production initiative.

Roland Martijn van Rijswijk - DeijView profile

Professor

• Network Security
• Domain Name System (DNS)
• Internet Infrastructure
• +3 more

Roland Martijn van Rijswijk-Deij is a Full Professor at the University of Twente, holding dual roles in the Design and Analysis of Communication Systems and the Digital Society Institute . His research focuses on cybersecurity, DNS infrastructure, and network measurement. He has contributed to over 79 research outputs, including influential works on DNS security, anycast routing, and federated learning in smart homes. His expertise aligns with UN Sustainable Development Goals, particularly addressing challenges in digital security and infrastructure resilience. Key achievements include the ACM SIGCOMM IMC Community Contribution Award (2014) and Best Paper Awards at NOMS 2024 and other conferences. Van Rijswijk-Deij leads collaborative projects on network resilience, including studies on residential proxy threats, BGP path validation, and OSINT credibility. His work often involves open datasets, such as analyses of Google’s DNS resolver interactions and anycast convergence metrics.

Shuai HaoView profile

Assistant Professor

• Networking and Security
• Internet Infrastructure
• Security and Privacy of Internet Systems
• +3 more

Shuai Hao is an Assistant Professor in the Department of Computer Science at Old Dominion University (ODU), affiliated with ODU's School of Cybersecurity. He holds a Ph.D. from the College of William and Mary and completed postdoctoral research at UC San Diego's CAIDA. His research focuses on networking and security, particularly internet infrastructure, privacy, and cybercrime analysis. He has published extensively in top conferences like USENIX Security and IEEE INFOCOM. His work includes analyzing DNS security, cloud gaming misuse, and open proxy ecosystems. Education: Ph.D. in Computer Science (College of William and Mary), advised by Dr. Haining Wang; Postdoc at UC San Diego (CAIDA). Prior roles include research internships at NEC Labs America and HP Labs China. Research interests span network security, privacy-preserving systems, and empirical studies of internet infrastructure. Notable contributions include studies on encrypted DNS, censorship mechanisms, and large language model privacy risks. Awards: Best Dataset Award (PAM 2022), Microsoft Security Researcher Acknowledgment (2017) Teaching: Courses on network security, malware analysis, and cybersecurity fundamentals. Service: PC member for NDSS, IMC, CCS, and DSN. Journal reviewer for IEEE/ACM Transactions on Networking and others.

Neeraj SuriView profile

Professor

• Cybersecurity
• Cloud Computing
• Dependable Systems
• +4 more

Professor Neeraj Suri is the Distinguished Professor & Chair in Cybersecurity at Lancaster University (UK and Germany) and an Adjunct Professor at the Department of Computer Science, University of Massachusetts Amherst . He co-directed Lancaster's university-wide Security Institute (2019-2024) and previously held the Chair in Dependable Systems & Software at TU Darmstadt . PhD from University of Massachusetts Amherst Positions at AlliedSignal/Honeywell Research, Boston University, Saab Endowed Chair, Microsoft Research (multiple sabbaticals), and visiting roles at University of Texas Austin, Academia Sinica, PolyU Hong Kong, and Technion Research Areas: Trustworthy cloud systems, data-centric cybersecurity, and security quantification. His work focuses on security-by-design principles, adversarial machine learning, and resilient autonomous systems. Selected Research Grants: EPSRC Programme Grant SCULI, H2020 CONCORDIA, EPSRC National Hub on Edge AI, and funding from NSF, DARPA, Microsoft, Google, and other leading institutions. Scientific Awards: NSF CAREER Award Microsoft Faculty Award IBM Faculty Award Professional Leadership: Associate EIC for IEEE Transactions on Dependable & Secure Computing, PC-Chair for DSN, ICDCS, SRDS, HASE conferences, and member of IFIP WG 10.4 on Fault Tolerance.

Andrzej KasprzakView profile

Professor

• Machine Learning
• Computer Science
• Network Optimization
• +3 more

Professor Andrzej Kasprzak is a faculty member at the Faculty of Information and Communication Technology, Wrocław University of Science and Technology, serving as Head of the Department of Systems and Computer Networks. His research spans machine learning, network optimization, and data stream processing, with applications in telecommunications, healthcare, and industrial systems. University: Wrocław University of Science and Technology School: Faculty of Information and Communication Technology Department: Department of Systems and Computer Networks Email: andrzej.kasprzak@pwr.edu.pl Kasprzak’s research focuses on integrating machine learning with network optimization, particularly in elastic optical networks and data stream environments. His work addresses challenges in multi-agent pathfinding, fake news detection, and 3D printing automation, emphasizing practical experimentation systems. Recent publications highlight trends in ensemble learning for real-time data streams, domain adaptation in AI systems, and innovative optimization algorithms for network traffic and scheduling problems. These contributions bridge theoretical advancements with industrial applications. As Head of Department, Kasprzak leads initiatives in systems and computer networks, fostering interdisciplinary collaboration in artificial intelligence and telecommunications. His career reflects a commitment to advancing computational methodologies in complex environments.