Find Academic Supervisors

• Physical Channel Modeling
• Communication Channel Characterization
• Fading Channels
• +7 more

Almir Marić is an Associate Professor at the Department of Telecommunications, Faculty of Electrical Engineering, University of Sarajevo. He earned his Bachelor's, Master's, and PhD degrees in Telecommunication Engineering from the same university in 2010, 2013, and 2020, respectively. His academic activities focus on wireless communication channels and network modeling. Bachelor's in Telecommunication Engineering (2010) Master's in Telecommunication Engineering (2013) PhD in Telecommunication Engineering (2020) Marić's research explores physical channel modeling , communication channel characterization , and fading channel analysis . He develops geometric-based stochastic channel models and works on network simulators for emerging technologies like 5G. His recent work integrates quantum cryptography into modern communication frameworks. His publications reveal a focus on digital communication , network security , and signal processing . Key topics include TWDP fading models , Nakagami-m distribution , and SDN programmability . Collaborative efforts with researchers like P. Njemcevic and E. Kaljic appear across multiple domains. Best Paper Award at MCSS'17 conference Marić teaches courses on Mobile Communications , RF Circuit Design , and Teletraffic Theory , contributing to both theoretical and practical aspects of telecommunications education.

• Software-Defined Networking (SDN)
• Network Security
• Reconfigurable Communication Systems
• +6 more

Enio Kaljić is an Associate Professor at the Department of Telecommunications, Faculty of Electrical Engineering, University of Sarajevo. He has been actively contributing to academic and research activities since 2010. Education: Telecommunications (B.Sc., M.Sc., Ph.D.) - University of Sarajevo Research Focus: His work centers on Software-Defined Networking (SDN), network security, FPGA-based communication systems, and programmable data planes. Key areas include quantum cryptography integration in 5G networks, Bloom filter optimizations for SDN switches, and hybrid FPGA/CPU network architectures. Publication Trends: Recent works explore quantum key distribution protocols, blockchain applications in 5G/6G networks, and statistical modeling of wireless channels. His research bridges theoretical analysis with practical implementations. Scientific Recognition: Best Paper Award (ThinkMind) Project Leadership: He has led grants in quantum cybersecurity, 6G network decentralization, programmable networks, and IoT development tools. Funding sources include NATO Science for Peace and Security Programme, Bosnian Ministries, and Erasmus+. Laboratory Contributions: Involved in establishing reconfigurable radio communication labs and multidisciplinary telecommunications laboratories at the University of Sarajevo.

• Distributed computing and systems software
• Communications engineering
• Electrical engineering
• +1 more

Dr. Stefano Vissicchio is a Lecturer in the Department of Computer Science at University College London (UCL). His research focuses on distributed computing, software-defined networking, and network security. University College London (UCL), Department of Computer Science – Lecturer His work addresses challenges in BGP security, network resilience, segment routing, and programmable data planes. Key contributions include: Developing fast connectivity recovery mechanisms (e.g., Blink) Creating tools for BGP hijack detection (e.g., Oscilloscope) Advancing hardware-accelerated network control planes Improving low-latency routing in mesh-like backbones Recent publications highlight his expertise in: Network verification (2025) BGP hijack evasion analysis (2024) Transient BGP reconfiguration mitigation (2023) Segment routing and traffic engineering (2022)

Eman RamadanView profile

Lecturer

• Networking
• Edge and Cloud Computing
• Artificial Intelligence/Machine Learning (AI/ML) for Networked Systems
• +6 more

Eman Ramadan is a Lecturer and Research Associate at the University of Minnesota 's Computer Science and Engineering Department , collaborating with Professor Zhi-Li Zhang at the UMN Networking Lab . She co-leads the Computer Networking, Mobile, and AI Research Lab , focusing on 5G/NextG mobile networking, autonomous vehicles, content distribution networks, resilient routing, and software-defined networking. PhD in Computer Science (2022), MSc in Computer Science (2014), MSc in Computer Engineering (2012), BSc in Computer Engineering (2008) – all from University of Minnesota or Alexandria University Her research explores 5G network performance, particularly mmWave throughput prediction, carrier aggregation implications, and roaming challenges in the European Union. Current projects include developing AI/ML algorithms for intelligent network infrastructures and enhancing SDN resilience through the Taproot framework. Recent publications (2024-2022) demonstrate significant advancements in 5G network analysis, caching optimization, and network-application integration. She has secured NSF funding as Co-PI for xGTracker platform (2023-2025), and holds a provisional patent for 5G throughput prediction. Recipient of CSE Postdoctoral Award for DEI Leadership (2023) Best paper awards at SIGCOMM NetAIM (2018) and APNet (2017) Travel grants including ACM SRC (2018), GENI (2014), and CRA-W (2014) She actively contributes to diversity initiatives, serving as chair of CS-IDEA committee and member of CSE Diversity & Inclusivity Alliance . Her work bridges theoretical research with practical implementation across multiple domains.

William Joseph SpringView profile

Senior Lecturer

• Quantum Computing
• Classical and Quantum Security
• Cybersecurity
• +7 more

Dr. William Joseph Spring is a Senior Lecturer in the Department of Computer Science at the University of Hertfordshire, specializing in quantum and classical security systems. He contributes to research in cybersecurity, quantum AI, and stochastic theory while actively developing courses and supervising students in these fields. PhD, MSc, BSc(Hons), PGCE Member of STRI Research Centre and Algorithms, AI & Information Research Groups Active in AQPIDA, IACR, and International Quantum Structures Association Research Interests: Spring's work spans Classical and Quantum-Based Security for Distributed Systems, including intrusion detection, quantum voting protocols, and cybersecurity education. His theoretical research involves Martingale theory, C* algebras, and quantum state modeling in hyperbolic geometry. Recent Article Trends: His publications focus on quantum-driven security solutions, AI integration in education, and network resilience. Key areas include 5G cybersecurity, quantum probability, and pandemic-era pedagogical adaptations. Teaching & Collaborations: Spring has lectured in the UK, India, and the Middle East, covering quantum networks, cryptography, and cybersecurity. He has designed online modules and short courses globally.

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.

Simon PeterView profile

Associate Professor

• Operating Systems
• Networking
• Data Center Systems
• +5 more

Simon Peter is an Associate Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington since 2022. His research focuses on operating systems, networking, and energy-efficient data center systems. Previously, he held positions as an Assistant Professor at UT Austin (2016–2022) and earned his Ph.D. (Dr. sc. ETH) from ETH Zurich in 2012, with a Dipl.-Inf. from Carl-von-Ossietzky University of Oldenburg in 2006. Education: Ph.D. in Computer Science, ETH Zurich, 2012 Dipl.-Inf. (M.Sc.), Computer Science, Oldenburg University, 2006 Research Interests: Design of low-latency, scalable, and energy-efficient data center systems Virtual machine and OS design (QoS in memory management, zero-copy I/O) Programmable NICs/switches (RDMA offloading, in-network ML preprocessing) Power control planes and disaggregated storage systems Teaching: Recent courses include CSE481A Operating Systems Capstone and Data Center Systems Extensive teaching history at UW and UT Austin in operating systems and data center topics Awards & Recognition: Not explicitly listed in provided materials Advising & Grants: Actively recruiting Ph.D. students via UW’s program No grant details provided in current text Labs & Teams: Part of UW’s Distributed Systems Lab Collaborates with industry on data center innovations Personal: Music enthusiast with background in violin, electronic music production, and DJing Outdoor activities include skiing and hiking Former Demoscene participant in Germany

• IoT
• Big Data Analytics
• Network Management
• +3 more

Dr. Ahmed Basil is a Lecturer in Computer Science at the University of Northampton. His research focuses on IoT, Big Data Analytics, and programmable network management, particularly in Quality of Experience (QoE) frameworks and Software Defined Networks (SDN). He explores topics such as network fairness, emergency systems, and secure smart home technologies. His work bridges theoretical advancements with practical applications in multimedia communication and edge computing. Key research themes include optimizing IoT data analytics, enhancing network performance through SDN protocols like P4 and OpenFlow, and developing resilient frameworks for critical infrastructure. His 2022–2025 publications emphasize predictive QoE modeling and scalable IoT systems. Earlier work (2019) addressed SDN fairness in multimedia and P4-based security for smart homes. Basil’s research is accessible via the University of Northampton’s Pure Research Explorer, which details his full publication record, grants, and collaborations. He holds a PhD in Computer Science and contributes to both academia and industry through his interdisciplinary projects.

Kirill LevchenkoView profile

Associate Professor

• Cyber-physical system security
• Network security
• e-crime
• +4 more

Kirill Levchenko is an Associate Professor in the Electrical and Computer Engineering Department at the University of Illinois at Urbana-Champaign, previously at UC San Diego. He leads research in cyber-physical system security, network security, and e-crime analysis. His work focuses on evidence-based studies of cybersecurity threats, including aviation cybersecurity and embedded system vulnerabilities. Research Interests: Cyber-physical systems, network security, e-crime, Internet service abuse, and aviation cybersecurity. His major projects include the PacketLab network measurement system and aviation cybersecurity analysis. Key contributions span malware ecosystems, ransomware tracking, and healthcare privacy breaches. Teaching includes courses like Computer Security I (ECE 422/CS 461), Computer Systems Engineering (ECE 391), and introductory computing courses. He advises Ph.D. and M.S. students in security-related research. Labs/Teams: Based in the Coordinated Science Lab (CSL 458), he collaborates on projects like the Triton avionics testbed and PacketLab measurement tools. His work integrates hardware-software co-design for embedded security and network programmability.

• Computer Networks
• Internet Measurement
• Network Security
• +3 more

Anja Feldmann is a Professor of Internet Network Architectures at Technische Universitaet Berlin and Director at the Max Planck Institute for Informatics in Saarbrücken. With a PhD from Carnegie Mellon University and postdoctoral experience at AT&T Labs Research, she has established herself as a leading expert in computer networks. She was elected to SAP's Supervisory Board in 2012 as the first woman on the employer side, and her research focuses on internet architecture, network measurement, and privacy-enhancing technologies. Current affiliation: Max Planck Institute for Informatics, Saarbrücken Academic rank: Professor of Internet Network Architectures at TU Berlin Education: Computer Science, Universitaet Paderborn (BS 1990); M.Sc. and Ph.D., Carnegie Mellon University (1991, 1995) Her research spans network architecture, traffic measurement, and online privacy, with recent work examining DNS in IPv6 environments, BGP routing patterns, and programmable data planes . She has pioneered studies on internet traffic changes during the pandemic, analyzed malware loaders through honeypot systems, and investigated online tracking in illegal streaming platforms across multiple countries. Recent publications (2023-2025) focus on: DNS infrastructure vulnerabilities and measurement biases Privacy issues in illegal streaming services Security implications of cookie partitioning Collaborative network security approaches Analysis of conspiracy theory dissemination on Telegram Machine learning-driven network monitoring at terabit scales Honors include a Best Paper Award at PAM 2023 for DNS readiness research. Her work appears in ACM, IEEE, and Springer venues, covering topics from DDoS mitigation to information propagation in online communities. Professor Feldmann's team collaborates extensively across institutions, with publications involving researchers from TU Berlin, Max Planck Society, and international universities. Her work bridges theoretical network research with practical implications for internet governance, security, and user privacy.

Andrea LodiView profile

Professor

• Mixed-Integer Programming
• Data Science
• Operations Research
• +4 more

Andrea Lodi serves as the Andrew H. and Ann R. Tisch Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion, and holds the Canada Excellence Research Chair in “Data Science for Real-time Decision Making” at Polytechnique Montréal. He earned his Ph.D. in system engineering from the University of Bologna in 2000 and was an IBM Goldstine Fellow (2005–2006). Previously, he was a full professor at the University of Bologna (2007–2015). His research focuses on mixed-integer programming, nonlinear optimization, and data science applications in decision-making systems. Notable contributions include advancements in cutting-plane algorithms, machine learning integration in optimization, and fair dynamic resource allocation. Awards include the IBM and Google Faculty Awards, and leadership roles in EU projects and IVADO (Montréal Institute for Data Valorization). Education: Ph.D. in System Engineering, University of Bologna (2000) Consulting: IBM CPLEX R&D team since 2006 Grants: Canadian Federal Government’s Apogée Programme (2024), EU projects His work bridges theoretical optimization and practical applications, including healthcare scheduling, transportation logistics, and algorithmic fairness. Recent projects include developing reinforcement learning frameworks for bike-sharing rebalancing and fairness-aware dynamic decision systems.

• Software Defined Networking
• Programmable Data Planes
• Machine Learning
• +3 more

Cristian Bermudez Serna is a researcher at the Chair of Communication Networks (Prof. Kellerer) at the Technical University of Munich (TUM). He holds an M.Sc. in Electrical Engineering from TUM and a Bachelor's in Telecommunications Engineering from Universidad de Antioquia, Colombia. His research focuses on mechanisms for efficient network reconfigurations in mobility scenarios, with emphasis on Software Defined Networking (SDN), programmable data planes, and machine learning applications in networking. Education: Bachelor's in Telecommunications Engineering, Universidad de Antioquia (2016) M.Sc. in Electrical Engineering, Technical University of Munich (2021) Research Interests: Optical access networks planning and robustness Future railway communication systems Survivable multi-domain network routing Post-quantum cryptography in optical networks Publications span topics like infrastructure cost savings in rural PONs, survivable routing mechanisms, and SDN control plane optimization. His work integrates algorithmic approaches with real-world network challenges in telecommunications and transportation systems.

• 5G/6G Networks
• Cloud-Native Core Networks
• Software-Defined Networking (SDN)
• +3 more

Endri Goshi is a Researcher at the Chair of Communication Networks (Prof. Wolfgang Kellerer) at the Technical University of Munich (TUM). He holds a Master of Science in Communications Engineering (2019, distinction) and a Bachelor’s in Electronics Engineering (2015). His research focuses on Virtualized/Cloud-Native Core Networks, Software-Defined Networks (SDN), and Programmable Networks. He has contributed to projects like the ERC Network Flexibility initiative and the 6G Future Lab Bavaria. His work emphasizes network orchestration, edge computing, and fault-tolerant systems. Education: B.Sc. Electronics Engineering, Polytechnic University of Tirana, Albania (2015) M.Sc. Communications Engineering, TUM (2019, distinction) Research Interests: Cloud-Native Mobile Core Networks Edge Computing & Network Function Virtualization SDN/Programmable Networks Network Orchestration & Resource Management Byzantine Fault-Tolerant Systems Recent Work Trends: His publications (2021–2025) address challenges in 5G/6G core networks, including mMTC traffic modeling, UPF placement optimization, and procedure-based stateless architectures. He also explores reproducible data plane performance modeling and hardware-accelerated fault tolerance. Lab/Affiliations: Active at the FlexComNetsLab and involved in TUM’s 6G testbed initiatives.

Eder Ollora ZaballaView profile

Researcher

• Software-Defined Networking
• Control Plane Programming
• Data Plane Programming
• +10 more

Eder Ollora Zaballa is a Senior Scientific Officer and researcher at the Technical University of Denmark (DTU), specifically affiliated with DTU Fotonik. His expertise spans software-defined networking, control and data plane programming, and next-generation network technologies with applications in telecommunications and transportation systems. His educational journey began with a Bachelor's degree in Telecommunication Engineering from the University of the Basque Country (EHU) in Bilbao, Spain, followed by a Master of Science in Telecommunication Engineering at DTU. He completed his PhD at DTU in 2022 with the thesis "Control and Data Plane Programming-driven SDN Management and Operation: A Top-Down Approach." Zaballa's research focuses on cutting-edge networking innovations including Software-Defined Networking (SDN), P4 programmable data planes, Network Function Virtualization (NFV), and their practical implementations. His work bridges theoretical frameworks with real-world applications, particularly in railway communication systems, cellular networks, and energy-efficient networking solutions. He has made significant contributions to open-source networking through the Open Networking Foundation ONOS community since 2016. His publication record shows a clear trajectory toward greener networking solutions, performance optimization of programmable hardware, and integration of SDN technologies in heterogeneous environments. Recent work demonstrates expertise in latency profiling of P4-based hardware, railway communication systems, and green cellular networks, with practical implications for network reliability, efficiency, and flexibility across multiple industries. Active contributor to European projects including Bandwidth-on-Demand (BoD), SDX-L2, NGPaaS, X2Rail-3, and X2Rail-5 Regular peer reviewer for Sensors journal and European Conference on Computer Systems Guest lecturer on SDN management, programmable networks, and P4 programming at multiple institutions Zaballa maintains strong international collaborations with research groups including the I2T Research Group at the University of the Basque Country, Networks and Intelligent Systems group at the University of Alcalá, and Fundació i2CAT. His work contributes to UN Sustainable Development Goals through advancements in green communications and efficient network infrastructure.

Salvatore PontarelliView profile

Associate Professor

• High-speed hardware architectures
• Hash-based data structures
• Network dataplane programmability
• +2 more

Salvatore Pontarelli is an Associate Professor at the Department of Computer Science, Sapienza University of Rome, specializing in high-speed hardware architectures for programmable network devices, hash-based data structures, and network dataplane programmability. His work bridges software and hardware with FPGA acceleration and stateful packet processing. Research focuses on Bloom filters, cuckoo tables, and network data plane optimization Collaborates with Cisco and Mellanox Technologies Contributions to Ethernet switching chips His publications include innovations in FPGA NICs (hXDP), eBPF/XDP hardware translation (eHDL), and practical network acceleration solutions. Recent work explores flow ranging and lightweight data plane monitoring. Scientific recognitions include OSDI'20 Jay Lepreau Best Paper Award ASPLOS'23 Distinguished Paper Award Currently teaches advanced networking and works on programmable hardware solutions. Office located at Sapienza University, Viale Regina Elena, 295 (Building E), 1st floor, room 105.