Find Academic Supervisors

Vasil HnatyshinView profile

Professor

• Computer Networks
• Network Security
• Data Science
• +3 more

Vasil Hnatyshin is a Full Professor and Department Head of the Department of Computer Science within the College of Science & Mathematics at Rowan University. He has established himself as a prominent figure in computer science education and research, with a focus on network technologies and data science applications. His educational background includes: Ph.D. in Computer and Information Sciences from the University of Delaware M.S. in Computer and Information Sciences from the University of Delaware B.S. in Computer Science from Widener University Hnatyshin's research expertise spans multiple critical areas of computer science, with particular emphasis on Internet and Computer Networks, Computer and Network Security, and Data Science. His work bridges theoretical concepts with practical applications, especially in network simulation and security protocols. He has developed innovative approaches to network modeling and has contributed significantly to the understanding of routing protocols in mobile ad hoc networks. His recent research has expanded into machine learning applications, particularly in metabolomics and clustering algorithms, demonstrating his ability to apply computational methods to interdisciplinary problems. An analysis of his publication record reveals a consistent research trajectory focused on computer networking fundamentals that has evolved to incorporate data science and machine learning techniques. His early work centered on network protocols, bandwidth distribution, and quality of service mechanisms, while more recent publications demonstrate an expansion into data clustering algorithms, machine learning applications, and wireless communication systems. This evolution reflects the broader shifts in computer science research toward data-intensive approaches while maintaining his foundational expertise in network technologies. Dr. Hnatyshin has secured significant research funding through multiple collaborative projects with Bristol-Myers Squibb (BMS), serving as Principal Investigator on several initiatives including the Rowan-BMS Collaboration projects spanning from 2014 to 2022. These projects focused on areas such as PCO project development, automated image classification frameworks, EDM software improvements, and automated data analysis. Hnatyshin is an active member of professional organizations including the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), demonstrating his engagement with the broader computer science community. His work has been cited numerous times, with his OPNET User Guide book being particularly influential in network simulation education and practice.

Jonathan M. SmithView profile

Professor

• Network Subsystems
• Distributed Computing
• Network Evolution
• +4 more

Jonathan M. Smith holds the Olga and Alberico Pompa Professorship in Engineering and Applied Science and is a Professor of Computer and Information Science at the University of Pennsylvania. His office is located in Levine Hall, and he maintains an active research program focused on network systems evolution. His career trajectory includes foundational work in high-performance networking (AURORA Gigabit Testbed), protocol innovation (Protocol Boosters, SwitchWare), and cognitive systems for mobile environments. Education: Ph.D. and M.S. in Computer Science (Columbia University) A.B. in Mathematics, Magna Cum Laude (Boston College) Research spans distributed computing, network architecture, security, and adaptive systems. His current work employs cognitive approaches to automate configuration in mobile systems. Key themes include programmable networks, hardware-software co-design, and secure protocol frameworks. Publications emphasize active networking, distributed systems, and security, with recent trends showing increased focus on mobile robustness, network monitoring, and hardware acceleration. His articles consistently address scalability and adaptability challenges in evolving network infrastructures. Scientific Awards: DARPA Information Science and Technology Advisory Panel (2009-2011) Office of the Secretary of Defense Medal for Exceptional Public Service (2006) IEEE Fellow (2001) DARPA Active Networks Distinguished Investigator Award (2000) Advising and Grants: Mentored 9+ PhD graduates now in academia (Columbia, U. Maryland) and industry (Intel, Bell Labs). Secured DARPA funding for programs including SAPIENT, ACERT, and BOSS during his term as IPTO Program Manager (2004-2006). Leads the Network Systems Research Group at Penn, collaborating on projects like SwitchWare and AURORA.

Alex MarderView profile

Assistant Professor

• Internet measurement
• 5G security
• Networked systems
• +4 more

Alex Marder is an Assistant Professor of Computer Science at Johns Hopkins University. He is also a member of both the Data Science and AI Institute and the Institute for Assured Autonomy at Johns Hopkins, demonstrating his interdisciplinary research focus spanning computer science, data science, and security applications. Marder received his BS from Brandeis University and his PhD from the University of Pennsylvania. Prior to joining Johns Hopkins, he was a research scientist at the Center for Applied Internet Data Analysis (CAIDA) at the University of California, San Diego, where he also completed a postdoc in 2020. This background in internet measurement and analysis has shaped his research trajectory. His research spans a wide breadth of networking areas, with a focus on using empirical analyses and machine learning to evaluate and improve the security and performance of wired and wireless networks. His current work leverages deep understanding of network architecture to design secure 5G communication networks for the Department of Defense, reveal security weaknesses in domestic internet access networks, and provide better understanding of broadband inequity. His approach combines creative data gathering techniques with extensive experience measuring network properties. Analysis of his publication record shows a strong focus on internet measurement techniques, router identification, network topology mapping, and security vulnerabilities in access networks. His work often bridges theoretical networking concepts with practical security implications, particularly in critical infrastructure contexts like the analysis of the Nashville bombing incident's impact on internet infrastructure. $5,000,000 NSF Convergence Accelerator Joint NSF/DOD Phase 2 AVOID 5G grant $750,000 NSF Convergence Accelerator 2022 Joint NSF/DOD Phase 1 5G Traffic Sovereignty grant $1,200,000 NSF CNS Medium grant for cloud-centric internet analysis $175,000 NSF CRII grant for measurement capabilities Marder actively mentors undergraduate researchers, with seven of his students recently receiving Provost's Undergraduate Research Awards at Johns Hopkins. He has developed several open-source software tools that are actively maintained, including bdrmapIT, traceutils2, ip2as, and cloudtrace, which are widely used in the internet measurement research community.

Pasi SarolahtiView profile

Lecturer

• Web Performance
• Quality of Service
• Information-Centric Networking
• +4 more

Pasi Sarolahti is a University Lecturer at the Department of Information and Communications Engineering, Aalto University, School of Electrical Engineering. His research focuses on web performance, quality of service, information-centric networking, and wireless communication protocols. Education: Doctoral degree in Engineering and Technology from University of Helsinki (awarded 21 Sept 2007) Research trends: Analysis of web latency and rendering performance, optimization of content delivery networks, adaptive congestion control for wireless systems, and design of information-centric networking protocols. Keywords include Computer Science, Networking, Web Technologies, Cloud Computing, and Wireless Communication. Professional activities: Visiting researcher at foreign institutions (2016) Chair and committee member for IEEE Global Internet Symposium (2012) Conference presentations and contributions (2012)

Khaled Abdel HarfoushView profile

Associate Professor

• Computer Networking
• Internet Measurements
• Peer-to-Peer Systems
• +7 more

Khaled Abdel Harfoush is an Associate Professor at North Carolina State University, affiliated with the College of Engineering and Department of Computer Science. He holds a Ph.D. in Computer Science from Boston University (2002) and earned his M.Sc. and B.Sc. from Alexandria University, Egypt. Education: Ph.D. (2002), M.Sc. (1995), B.Sc. (1992) in Computer Science His research spans computer networking, internet measurements, peer-to-peer systems, and routing protocols, with significant contributions to network security and quantum key distribution. His work addresses censorship resistance, blockchain infrastructure, vehicular network reliability, and wireless sensing. Recent publications analyze censorship techniques, decentralized network vulnerabilities, and protocol optimizations. He received the prestigious National Science Foundation Faculty Early CAREER Award (2004) and Best Paper Award (2006) for his work in virtualization and grid management. Scientific Awards: National Science Foundation Faculty Early CAREER Award (2004) Best Paper Award, IFIP/IEEE International Workshop on End-to-End Virtualization and Grid Management (2006) He has secured multiple grants including Fulbright Junior Faculty Development Program funding (2022) and research grants from NCSU Institute for Next Generation IT Systems for WLAN security and congestion control projects.

H B AcharyaView profile

Assistant Professor

• Network Security
• Cybersecurity
• Distributed Systems
• +6 more

H B Acharya is an Assistant Professor in the Department of Computer Science at Oklahoma State University, specializing in network security, programmable networks, and cybersecurity. He holds a PhD from The University of Texas at Austin and a B.Tech from IIT Kharagpur. His research focuses on data-plane security (e.g., DeeP4R for DPI in P4), decoy routing systems (SiegeBreaker), and internet interference analysis. He has received grants including an NSF RAPID award and best paper recognition at SecureComm 2018. His teaching includes courses on network security, distributed systems, and computer systems design. Research interests span network protocols, distributed systems, and emerging technologies like ML/quantum computing's impact on networks. Notable projects include analyzing the Russia-Ukraine war's cyberspace effects and developing tools for measuring network capacity and censorship resilience.

Cüneyt F. BazlamaçcıView profile

Professor

• Communication and Computer Networks
• Computer Systems Architecture
• Hardware Optimization
• +5 more

Prof. Cüneyt F. Bazlamaçcı is a Professor in the Computer Engineering Department at İzmir Institute of Technology (IZTECH). He holds a B.Sc. and M.Sc. from Middle East Technical University (1988, 1991) and a Ph.D. in Computing from the University of Manchester (1996). His academic career includes roles at METU (1992–2020) before joining IZTECH in 2020. His research focuses on Communication and Computer Networks, Computer Systems Architecture, Graph Algorithms, and Embedded Systems. Notable contributions include patents on IP lookup architectures and publications in journals like Microprocessors and Microsystems and IEEE Transactions . He has advised over 40 graduate students, with topics ranging from FPGA-based systems to network optimization. His work spans network-on-chip design, reconfigurable computing, and cloud resource allocation. Projects include TÜBİTAK-funded research on low-voltage distribution systems and METU DSIM benchmarking studies. Prof. Bazlamaçcı teaches advanced courses in optimization, computer networks, and architecture. His research integrates algorithm design, hardware/software co-design, and parallel computing for real-world applications.

• Computer Security
• Formal Verification
• Networking Protocols
• +3 more

Dr. Christoph Sprenger is a Lecturer at the Department of Computer Science at ETH Zürich, specializing in formal verification of security protocols and networking systems. His work focuses on ensuring the correctness and security of distributed systems, databases, and network infrastructure through rigorous mathematical methods. His research addresses challenges such as verified isolation guarantees for database transactions, formal verification of router implementations, and secure data plane protocols in next-generation internet architectures. He has contributed to frameworks like IsaNet and N-Tube, emphasizing practical applications of formal methods in real-world systems. Key themes in his publications include protocol design, cryptographic security, and compositional verification techniques. Recent work explores the intersection of formal verification with path-aware networking and distributed system reliability. His research maintains a strong emphasis on bridging theoretical foundations with deployable solutions. Current projects involve advancing formal verification tools for critical infrastructure components, such as transactional memory managers and secure service architectures. His work consistently bridges gaps between abstract protocol specifications and their secure, interoperable implementations.

Ioannis XydasView profile

Assistant Professor

• Network Security
• Intelligent Graphics
• Visual Analytics
• +3 more

Ioannis Xydas is an Assistant Professor at the Department of Computer Engineering and Information Technology , part of the School of Engineering at the University of West Attica . He holds a PhD in Computer Science from the University of Limoges (France), with prior degrees from the University of Geneva (Switzerland) and the University of Athens (Greece). His career spans academic roles, government service, and industry, including work at CERN and leadership in network design and implementation. Education: BSc in Mathematics (University of Athens, 1974) Advanced studies in Computer Science (University of Geneva, 1976–1980; MSc and BSc with distinction) PhD in Computer Science (University of Limoges, 2007; focused on Network Security and Visual Analytics) Research Interests: Network security, intelligent graphics, visual analytics, and evolutionary neural networks. His work emphasizes practical applications in intrusion detection systems, knowledge extraction from network data, and 3D visualization for decision-making. Professional Contributions: Led projects at GRNET (Greek Research Network), managed campus networks, and advised over 20 academic theses. Active in committees for IT procurement, network security standards, and international conferences. Technical expertise includes Cisco systems, network protocols (IPv6, MPLS), and telecommunication infrastructure. Awards & Affiliations: Swiss Government scholarship (1976), member of the Greek Society of Computer Scientists (E.P.Y), and DECUS user group. No personal accolades explicitly listed. Teaching & Mentorship: Taught courses in network security, advanced networking, and visual analytics. Supervised numerous BSc and Master’s theses on topics like wireless network hacking, firewall implementation, and network visualization. Labs & Projects: Developed lab materials for courses on networks, programming, and security. Collaborated with the University of Limoges on the ISICG/TIM Master’s program, focusing on integrated informatics and computer graphics.

Muhammad YahyaView profile

Researcher

• Optical Network-on-Chip (ONoC)
• Cybersecurity
• Heuristic Optimization Algorithms
• +2 more

Muhammad Yahya is a researcher at Nanjing University of Aeronautics and Astronautics with affiliations to institutions like Universiti Malaysia Terengganu and Norwegian University of Life Sciences. His work bridges optical network-on-chip (ONoC) and cybersecurity domains. H-index: 21 Total citations: 1,400+ Research Interests: Focus on photonic interconnects for manycore processors, heuristic optimization algorithms for crosstalk reduction, and security vulnerabilities in optical networks. Key projects include: Designing non-blocking optical switches with reduced power consumption Developing DPA-resistant cryptographic architectures for lightweight ciphers Creating heuristic fusion mapping algorithms combining PSO and SA Publication Trends: Recent articles (2018-2023) demonstrate expertise in optical router design , fault analysis of encryption protocols, and machine learning applications to network optimization. Technical Contributions: Invented the PSO_SA algorithm for crosstalk optimization, HoneyComb ROS reconfigurable switches, and two-domain MATLAB frameworks for computational mathematics.

Ghanshyamsinh GohilView profile

Assistant Professor

• Power Electronics
• Medium Voltage (MV) Power Conversion
• Renewable Energy Integration
• +4 more

Ghanshyamsinh Gohil is an Assistant Professor in the Department of Electrical Engineering at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on advanced power electronics systems, including medium-voltage (MV) power conversion, smart grid technologies, and renewable energy integration. He leads the Power Electronics Lab, which develops innovative solutions for electric mobility, grid interface systems, and high-efficiency energy conversion. Research interests include the characterization of silicon carbide (SiC) devices for MV applications, medium-frequency isolated converters, and electromagnetic emission mitigation. His work addresses challenges in extreme fast charging for electric vehicles, microgrid management, and DC grid architectures. The lab also explores multi-objective optimization of power electronics systems and harmonic filter design for high dv/dt converters. Dr. Gohil’s publications span topics such as modular multilevel converters, dual active bridge (DAB) topologies, and distributed control algorithms for microgrids. His research emphasizes practical implementation, with a focus on real-time grid-edge systems and energy management solutions compliant with utility standards. Though no scientific awards are explicitly mentioned, his contributions to power electronics and renewable energy integration reflect a strong academic and applied research profile. Advising and grants details are not provided in the available text, but his lab’s active projects suggest ongoing collaborative efforts in industry and academia. The Power Electronics Lab at UT Dallas serves as a hub for interdisciplinary research, bridging electrical engineering with smart energy systems. Key projects include the design of grid-forming energy routers, MV DC grid interfaces, and intelligent fault current limiters to enhance grid reliability and resilience.

Adrien VoldoireView profile

Researcher

• Power Electronics
• Renewable Energy Systems
• Inverter Design
• +3 more

Adrien Voldoire is a Researcher at the Laboratory of Electrical and Electronic Engineering of Paris , focusing on advanced power electronics systems. His work emphasizes sustainable energy solutions, inverter design optimization, and renewable integration. He specializes in high-frequency SiC-based systems, MPPT algorithms, and grid power quality enhancement. His research interests include power electronics topologies for renewable energy, multiport energy routers, and efficiency improvements in power converters. He has extensively studied dual active bridge converters, MOSFET switching losses, and the application of optimization algorithms in inverter design. Key contributions include developing methodologies for optimal inverter sizing in aeronautical contexts and integrating sustainability indicators into power electronics design. His work bridges theoretical analysis with experimental validation, often using deterministic optimization techniques to compare conventional and advanced inverter structures. Adrien collaborates with institutions globally on projects involving wind energy systems, multi-source electric drives, and harmonic analysis in power systems. His research consistently addresses real-world challenges in energy efficiency and environmental impact reduction.

• Cryptography
• Cybersecurity
• Privacy-Preserving Technologies
• +5 more

Thomas Ristenpart is a Professor in the Department of Anthropology at Cornell University, affiliated with the College of Arts and Sciences. He also directs the Clarke Program in East Asian Law and Culture. His work bridges cybersecurity, cryptography, and social sciences, focusing on digital safety, privacy, and authentication systems. Research interests include mitigating cybersecurity threats in intimate partner violence, encryption protocols, and ethical machine learning applications. He leads projects funded by NSF and international collaborations, addressing challenges like authenticated encryption and abuse prevention in encrypted communications. Notable projects include developing trauma-informed computing frameworks, analyzing creepware tactics, and designing systems like Might I Get Pwned for breach alerts. His work emphasizes interdisciplinary approaches to safeguard users, especially vulnerable populations, through secure infrastructure and ethical research practices. Grants: NSF-BSF projects on authenticated encryption and abuse prevention Labs/Teams: Clarke Program in East Asian Law and Culture

Zachary S BischofView profile

Researcher

• Computer Networks
• Distributed Systems
• Internet Measurement
• +2 more

Zachary S Bischof is a researcher in computer networks and distributed systems, currently working at the Internet Intelligence Lab at Georgia Tech alongside Prof. Alberto Dainotti. He previously held a Research Scientist position at IIJ Innovation Institute Inc. in Tokyo, Japan, supported by a JSPS Postdoctoral Fellowship (2017-2019). His work focuses on network systems, Internet measurement, broadband networks, and peer-to-peer systems, with an emphasis on real-world deployments and edge network performance. PhD in Computer Science, Northwestern University (2016) MS in Computer Science, Northwestern University (2013) BS in Computer Engineering, Northwestern University (2009) His research spans Internet infrastructure analysis, including submarine cables, broadband reliability, and geographic information extraction from router hostnames. Key publications include work on network edge experimentation (CoNEXT '21, NSDI '13), broadband sanitization (TMA '20), and ISP characterization (SIGCOMM workshops). Scientific awards include the Best Open Dataset Award at TMA '20 and a Best Paper Award at W-MUST '12. He also received nominations for best papers at IMC '14 and W-MUST '12.

• Distributed Algorithms
• Networks
• Search Problems
• +7 more

Professor Leszek Antoni Gasieniec is a faculty member at the University of Liverpool, Department of Computer Science, since 1997. He became a full professor in 2003 and served as Head of Department from 2012 to 2015. His research focuses on distributed algorithms, networks, and search problems, with interdisciplinary and industrial applications. Education: PhD in Computer Science (1994, Warsaw University) Postdocs: Université du Québec à Hull (1994-1995), Max-Planck Institut für Informatik (1995-1997) Research interests include: Distributed Algorithms Network Communication Combinatorial Optimization Mobile Agent Systems Population Protocols Algorithmic Complexity Recent publications highlight advancements in population protocols, symmetry breaking, and polyamorous scheduling, reflecting trends in distributed computing and fault tolerance. His editorial roles include positions at LMS Journal of Computation and Mathematics and Journal of Discrete Algorithms . Professional activities encompass organizing conferences (e.g., ALGO 2010), serving on EPSRC College, and reviewing grants for international foundations. Teaching includes modules on discrete mathematics and algorithms for AI/data science.