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Steven SimpsonView profile

Researcher

• Network Security
• Network Resilience
• DDoS Attacks
• +10 more

Steven Simpson is a Researcher in the Physics Department at Lancaster University, affiliated with the School of Computing and Communications (SCC). His office is located in D30, D-Floor, Infolab. His research focuses on network resilience and security, particularly DDoS attacks, spam mitigation, network slicing, and service orchestration. Previously, he has worked on multimedia systems, programmable networks, active networking, URN resolution, quality-of-service (QoS), and group communication protocols. His work spans both theoretical and applied aspects of network infrastructure. His recent publications highlight his work on programmable internet infrastructure and WAN control systems for multi-site service orchestration, reflecting his expertise in network architecture and management. These publications demonstrate his focus on practical implementations of networking concepts with real-world applications. Steven Simpson created and maintains Forge@Lancaster, a source-code management site for the School, and also maintains 'Learning C from Java' to support Lancaster students transitioning from Java to C programming. He was quoted in a NewScientist article in 2011, indicating recognition of his expertise in the field. His research portfolio includes significant projects such as 'A Situation Aware Information Infrastructure' (2015-2017), 'Secure Cloud Computing for Critical Infrastructure' (2013-2015), and 'FP7:INTERSECTION' (2008-2009). His PhD was funded by an EPSRC-CASE studentship (ref. 9456391X) with sponsorship from BT Laboratories, establishing his long-standing connection to network research.

Bruno M. XavierView profile

Associate Professor

• machine learning
• software-defined networking
• programmable data planes
• +1 more

Bruno M. Xavier serves as an Associate Professor in the Department of Information Systems at the Federal Institute of Espirito Santo, Campus Cachoeiro de Itapemirim, Brazil, while concurrently working as a Research Assistant at Trinity College Dublin's CONNECT Centre on 4G/5G network optimization projects. He is pursuing his Ph.D. in Computer Science at the Federal University of Espirito Santo through collaboration with the Núcleo de Estudos em Redes Definidas por Software Lab. His educational background includes: Doctor of Philosophy (Ph.D.) in Computer Science (in progress), Federal University of Espirito Santo Dr. Xavier's research integrates artificial intelligence with telecommunications infrastructure, specializing in machine learning applications for software-defined networking (SDN) and programmable data planes. His work focuses on AI-Driven Network Customization techniques to enhance 4G/5G network performance, aiming to develop adaptive communication systems through algorithmic optimization of network resources and traffic management. He maintains active research affiliations with the Núcleo de Estudos em Redes Definidas por Software Lab (Software Defined Networks Research Lab) at the Federal University of Espirito Santo and the CONNECT Centre at Trinity College Dublin, contributing to next-generation network optimization initiatives. No information is available regarding scientific awards, student advising activities, or research grant funding.

Christopher V. GabelView profile

Associate Professor

• Neurobiology
• Neural Regeneration
• Calcium Signaling
• +3 more

Christopher V. Gabel is an Associate Professor at Boston University, specializing in Neural Regeneration and Anesthesia. He conducts in vivo research at the intersection of engineering, biophysics, and neuroscience using C. elegans as a model organism. His work focuses on neuronal damage response, calcium signaling, and biophotonic technology development. Education : B.A. from Princeton University, Ph.D. from Harvard University Research Interests : Dr. Gabel investigates how neuronal activity and calcium signaling influence regeneration after cellular damage. His lab leverages C. elegans for its mapped nervous system and genetic tractability, developing novel biophotonic tools like femtosecond laser microsurgery and advanced calcium imaging techniques. Key themes include: Regenerative neurobiology and axon repair mechanisms Anesthetic effects on neural network dynamics Development of open-source toolboxes for neural data analysis Age-related changes in neuronal excitatory/inhibitory balance High-speed volumetric imaging technologies Scientific Contributions : His articles demonstrate expertise in combining C. elegans genetics with cutting-edge imaging modalities to study fundamental questions about neuronal repair, anesthetic mechanisms, and network-level information processing. The lab's work bridges basic research with translational applications in neuroregeneration and anesthesiology. Technical Expertise : The lab develops and applies advanced imaging systems including: Mesoscopic oblique plane microscopy Programmable LED array reflectance microscopy Event camera-integrated Fourier light field microscopy Femtosecond laser microsurgery platforms CaNetiCs dimensionality reduction toolbox

Praveen TammanaView profile

Assistant Professor

• Systems and Networking
• Network Security
• Software-Defined Networking
• +7 more

Dr. Praveen Tammana is an Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Hyderabad , where he leads the NetX lab focusing on systems, networks, and security research. He completed his PhD from University of Edinburgh (2013-2018) and holds a Masters from IIT Madras (2009-2011). Education: Ph.D in Computer Science, University of Edinburgh, UK (2013-2018) Masters in Computer Science, IIT-Madras, India (2009-2011) B.E. in Computer Science, Vasavi College of Engineering, Osmania University (2005-2009) Research Focus: His research spans systems and networking , network security , software-defined networking (SDN) , machine learning for networks , wireless communication , high performance computing , and cybersecurity . His lab specializes in programmable data planes using technologies like P4, eBPF, DPUs, and PISA switches. Research Applications: His recent work demonstrates strong focus on AI infrastructure systems , including distributed AI learning and serving, networked robotics, GPU-centric packet processing, and edge cloud applications for autonomous systems. His research bridges the gap between networking infrastructure and AI workloads. Recent Publications Trend: His 2021-2025 publications show significant contributions to network security , programmable switches , edge computing , and AI systems integration . Key themes include securing traffic control systems, AI workload optimization, malicious traffic detection, and real-time applications for autonomous vehicles. Current Funding: Actively funded by industry partners including Mondee (systems for AI workloads), Marvell Technology (data acceleration offload), and ZF India (efficient load-balancer for edge applications). Lab and Team: Leads NetX lab at IIT Hyderabad, actively recruiting full-time research candidates for exciting projects in AI infrastructure, networked systems, and programmable networks. The lab focuses on building next-generation systems for AI workloads and secure network architectures.

• Computer Networks
• Internet Video Distribution
• Network Synthesis
• +6 more

Sanjay Rao is a Professor in the School of Electrical and Computer Engineering at Purdue University, leading the Internet Systems Laboratory. His research focuses on network synthesis/design/verification and Internet video distribution. He holds a B.Tech from IIT Madras and a Ph.D from Carnegie Mellon University. He has held visiting roles at Google, AT&T Research, and Princeton University. Research & Awards: His work includes groundbreaking contributions like End System Multicast (winner of the ACM SIGMETRICS Test of Time Award), Oboe (ABR auto-tuning), and Veritas (causal video streaming analysis). He received the NSF CAREER Award (2010) and is an ACM Distinguished Member (2021). Teaching: Courses include Computer Networking (ECE 463), Object-Oriented Programming (ECE 39595), and Computer Network Systems (ECE 595). Service: Chair, ACM Sigcomm Doctoral Dissertation Award Committee (2022); Associate Editor, IEEE/ACM Transactions on Networking (2016–2020). Labs & Teams: Directs the Internet Systems Lab (ISL) with active projects on video streaming, network resilience, and intent-based design. Graduate students collaborate on these initiatives.

Mina Tahmasbi ArashlooView profile

Assistant Professor

• Programmable Networks
• Software Defined Networking
• Network Verification
• +2 more

Mina Tahmasbi Arashloo is an Assistant Professor at University of Waterloo's Cheriton School of Computer Science and Canada Research Chair in Minimizing Human Error in Modern Networks. Her research develops programmable network systems and verification tools. Education includes a PhD from Princeton University and BSc from Sharif University of Technology, with postdoctoral work at Cornell. Research focuses on software-defined networking, programmable data planes, network verification, and high-speed transport protocols. Recent work includes formal methods for network performance analysis, elastic switch programming, and NIC protocol acceleration. Honors include Canada Research Chair (2024), ACM SIGCOMM Dissertation Award (2019), and Rising Stars in Networking recognition (2021). Advising current PhD/MMath students: Amir Seyhani, Kimiya Mohammadtaheri, Pedro Mizuno.

Jorge CrichignoView profile

Professor

• High-Speed Networks
• Cybersecurity
• Science DMZs
• +6 more

Jorge Crichigno is a Professor in the Integrated Information Technology Department at the Molinaroli College of Engineering and Computing, University of South Carolina (USC). He joined USC in 2018, previously serving as faculty at Northern New Mexico College and as a research associate at the University of South Florida's Florida Center for Cybersecurity. His work focuses on high-speed networking, Science DMZs, cybersecurity, and P4 programmable data planes. Dr. Crichigno holds a Ph.D. in Computer Engineering from the University of New Mexico, alongside M.Sc. and B.Sc. degrees in Electrical Engineering. His research emphasizes practical implementation of Science DMZs, TCP optimization, and cybersecurity education through virtual labs. He leads an NSF-funded project developing experiential cybersecurity training programs and workforce partnerships with industry and Los Alamos National Laboratory. His research interests span Science DMZ design, network function virtualization, ransomware detection, and IoT security. He develops training materials for Science DMZs and contributes to the Cyberinfrastructure (CI) Lab, which investigates high-speed networks and IoT challenges. Key projects include enhancing network security via ML-driven malware detection and optimizing TCP fairness in non-programmable networks using P4 switches. Dr. Crichigno teaches IT Security (ITEC 493) and Advanced Networking (ITEC 445). He has secured NSF grants for initiatives like Cyber-Con2 and cybersecurity pipeline development. His lab work includes creating scalable virtual labs and testing frameworks for large data transfers, with a focus on disaster recovery support and SDN environments.

Benjamin E. UjcichView profile

Assistant Professor

• Network Security
• Software-Defined Networking
• Intent-Based Networking
• +3 more

Benjamin E. Ujcich is an Assistant Professor in the Department of Computer Science at Georgetown University, where he researches secure systems and network design as a member of the GU SecLab. His work focuses on securing future networking architectures including intent-based networking, 5G/6G security, software-defined networking, and programmable data planes. Education: Ph.D. Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (2020) M.S. Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (2016) B.S. Computer Engineering (Honors), Clemson University (2014) Research Interests: His work spans security of programmable network data planes, intent-based networking security, vulnerability discovery in network infrastructure, and applications of data provenance for enhancing network security and accountability. Publications: Research demonstrates ongoing innovation in network security, with recent work focused on automated vulnerability discovery techniques for next-generation networks and formal methods for securing intent-based architectures. Awards: NSF CAREER Award (2024) NSF Graduate Research Fellowship Honorable Mention (2016) Carver Fellowship (2014) Goldwater Scholarship (2012) Advising & Labs: Supervises PhD and MS students in network security research at the GU SecLab. Manages NSF-funded projects on secure networking infrastructures, including a CAREER award focused on trustworthy intent-based networking.

• Computer Networks
• Telecommunication Networks
• System Software
• +7 more

George Xylomenos is a Professor in the Department of Informatics at Athens University of Economics and Business (AUEB), where he has been a faculty member since 2002, progressing from Lecturer to Professor. He serves as Scientific Coordinator of the Information Systems Management Center and previously held roles including Deputy Chair of the Department of Informatics and Deputy Rector for Financial Planning and Development. He is affiliated with the Mobile Multimedia Laboratory (MMlab) at AUEB and has made significant contributions to computer networking research. Professor (System Software) at AUEB, Department of Informatics (2020-present) Associate Professor at AUEB, Department of Informatics (2015-2020) Assistant Professor at AUEB, Department of Informatics (2007-2015) Lecturer at AUEB, Department of Informatics (2002-2007) Research Associate at University College London (2016-2017) Education Ph.D. in Computer Science, University of California, San Diego (1999) M.S. in Computer Science, University of California, San Diego (1996) Diploma in Applied Informatics, Athens University of Economics and Business (1993) Professor Xylomenos' research focuses on computer network and operating system design and implementation. His primary interests include Future Internet architecture, Information-Centric Networking, Quality of Service provisioning, communication protocols for wireless and mobile networks, and Network Music Performance systems. His work bridges theoretical networking concepts with practical implementations, particularly in the areas of content-centric networking and multimedia communications. He has pioneered research in multi-service link layers for wireless networks and has made significant contributions to the understanding of TCP performance over wireless links. His recent publications demonstrate a strong focus on Named Data Networking, decentralized identity systems, and Network Music Performance. The research trends show a progression from traditional IP networking toward information-centric architectures, with increasing emphasis on security, privacy, and multimedia applications in distributed environments. Scientific Awards Best demo award at ACM ICN Conference (2017) Future Internet Award from FP7 PURSUIT project (2013) Runner up for best local student paper at IEEE Symposium on Computers and Communications (2011) Best non-student paper award at European Wireless Conference (2007) National Semiconductor Corporation Graduate Fellowship (1996) Professor Xylomenos has supervised numerous research projects, including multiple EU-funded initiatives such as PURSUIT, PSIRP, and EIFFEL in the Future Internet domain, and MUSINET for Network Music Performance. He has served on the editorial board of IEEE Transactions on Mobile Computing (2016-2024) and has been active in numerous Technical Program Committees for major networking conferences. His research has attracted significant funding from European Union programs including FP7, H2020, and Horizon 2020. He is a core member of the Mobile Multimedia Laboratory (MMlab) at AUEB, which focuses on advanced networking technologies, multimedia systems, and future Internet architectures. The lab has been instrumental in Greece's participation in major European research initiatives related to Information-Centric Networking and Network Music Performance. The laboratory maintains strong collaborations with international research groups, particularly in Europe and the United States.

Hai WangView profile

Professor

• High-Speed Propulsion
• Combustion Chemistry
• Renewable Energy Conversion
• +5 more

Hai Wang is a Professor of Mechanical Engineering at Stanford University with a distinguished career in combustion science, high-speed propulsion, and renewable energy conversion. His research spans combustion chemistry of conventional and renewable fuels, detonation dynamics, quantum-chemistry guided battery materials design, and transport theories in nanoparticle systems. Education : Ph.D. in Fuel Science from Pennsylvania State University (1992), M.S. in Chemical Engineering from Michigan Technological University (1986), B.Eng. in Polymer Materials from East China University of Science and Technology (1984). He has authored seminal works on soot formation in flames, catalytic oxidation of methane, and laminar flame speed modeling. His recent publications address interdisciplinary challenges such as eco-anxiety and advanced data plane verification. Notable administrative roles include co-founding Hestia Tec, LLC (2010-2014) and serving as President of the Combustion Institute (2024-present). Wang’s work has been recognized with the Humboldt Senior Research Award (2019), Mercator Fellow (2019), and multiple fellowships. He mentors doctoral and master’s students and leads research initiatives like the Combustion Energy Frontier Research Center (2010-2014).

Theophilus BensonView profile

Professor

• Cloud computing
• Distributed systems
• Networking
• +5 more

Theophilus Benson is a Professor of Electrical and Computer Engineering at Carnegie Mellon University's College of Engineering. He holds a B.S. from Tufts University, M.S. and Ph.D. from the University of Wisconsin-Madison, and a post-doctorate from Princeton University. His research focuses on democratizing digital infrastructure access, particularly in the global south, through projects like the 'Democratizing Mobile Web Performance' initiative and KubeKlone/Nimble frameworks. He leads efforts at Carnegie Mellon University Africa to bridge the digital divide via collaborations with Internet Society and local IXPs. Research Interests: Cloud computing and distributed systems Programmable infrastructures (eBPF) Global network equity and policy impacts Mobile web optimization under memory constraints Sustainable development goals (SDG 9) Key Achievements: SIGCOMM Test of Time Award NSF CAREER Award Google/Facebook Faculty Awards Lead DARPA ISAT study group member Recent work includes analyzing subsea cable vulnerabilities in Africa, presenting at ACM Internet Measurement Conference 2024, and developing frameworks like KubeKlone for cloud-native simulations. His research bridges technical innovation with societal impact, addressing both performance and accessibility challenges in global networks.

Isaías Martínez YelmoView profile

Professor

• Computer Networks
• Software Defined Networking (SDN)
• Internet of Things (IoT)
• +5 more

Isaías Martínez Yelmo is a full Professor and Director of the Department of Automation at the University of Alcalá (UAH), Spain. He holds a PhD from Universidad Carlos III de Madrid (2010) and specializes in telematics engineering, with a focus on networks and intelligent systems. His research interests include software-defined networking (SDN), IoT, 5G, edge computing, and network security. He leads the NetIS Redes y Sistemas Inteligentes research group. Education : PhD in Telematics Engineering, Universidad Carlos III de Madrid (2010) Research Interests : His work emphasizes innovative solutions in network architectures, with a focus on scalable SDN protocols, IoT integration, and edge computing. He explores topics like hybrid SDN environments, topology discovery, and resource management in multi-hop networks. His contributions address challenges in 5G, 6G, and industrial IoT ecosystems. Grants & Projects : He has led or co-led over 30 research projects funded by entities like the Spanish Ministry of Science, Madrid Government, and EU programs. Notable projects include: VERANO (2025-2026) : Edge resource allocation and network orchestration ADMINISTER (2022-2025) : Cyber-physical systems in augmented reality BISHOPS (2018-2019) : SDN-P4 integration for hybrid networks Labs/Teams : He directs the NetIS group, which develops cutting-edge solutions in networks and systems intelligence. The group collaborates internationally on projects like MistLETOE (smart environments) and 6G-CLARION (5G-IoT integration).

Dominic TauntonView profile

Associate Professor

• Maritime Engineering
• Experimental Hydrodynamics
• High-Speed Craft Design
• +3 more

Dr. Dominic Taunton is an Associate Professor in Ship Science and Maritime Engineering at the University of Southampton's School of Engineering and Physical Sciences. He serves as Director of Programmes for Maritime Engineering. His research focuses on optimizing high-speed craft design, experimental hydrodynamics, and integrating human factors into maritime systems. Key projects include improving autonomous surface vehicle performance and applying hydrodynamic principles to sports engineering (e.g., skeleton athletes, swimmers, and sailing). Education: BEng (Hons) Ship Science, University of Southampton (1997) PhD in High-Speed Craft Seakeeping, University of Southampton (2001) Research Interests: Experimental hydrodynamics for maritime artifacts Human-centric ship design methodologies Autonomous systems and wave energy conversion Sports engineering applications (rowing, swimming, sailing) Awards: Lloyd's Register Safety Prize (2007) Royal Institution of Naval Architects Medal of Distinction (2008) Ian Telfer Prize (2005) Calder Prize (2001) Teaching: Leads modules such as Ship Design & Economics, Systems Design for Ships, and Sailing Yacht Design. Supervises PhD students in maritime engineering and autonomous systems. Labs/Teams: Active in the Southampton Marine and Maritime Institute, collaborating on EPSRC-funded projects like WITT wave energy converter and MARTHA autonomy initiatives.

Saleem BhattiView profile

Professor

• Internet architecture
• Network protocols
• Mobile and wireless systems
• +5 more

Saleem Bhatti is a Professor at the School of Computer Science, University of St Andrews, UK, actively leading research and teaching with a focus on internet architecture evolution. His work centers on the Identifier-Locator Network Protocol (ILNP) as a practical solution for mobility, multihoming, and security without requiring fundamental changes to IPv6 infrastructure. He maintains an open lab for postgraduate researchers, particularly seeking PhD candidates to advance ILNP in multipath transport protocols, ubiquitous computing, datacentre operations, and energy optimization, while also engaging in industry consultancy for network technology deployment. His academic credentials include a PhD and MSc in Computer Science from University College London (UCL), complemented by a B.Eng (Hons) in Electronic and Electrical Engineering from UCL. This interdisciplinary background bridges hardware and protocol design, enabling his empirical approach to system development. Bhatti's research interests form a cohesive portfolio: Internet architecture (specifically ILNP's identity-locator separation), network security through protocol-level innovations, energy efficiency in wireless systems and video streaming, and mobile health applications leveraging social media platforms. His fingerprint analysis reveals dominant focus areas: Network Protocols (100%), Testbed development (93%), Internet Protocol (60%), Handoff optimization (37%), and Network Connectivity (36%). Recent publication trends (2023-2025) emphasize security through ephemeral identifiers and multipath defense mechanisms for encrypted traffic, alongside energy audits of decentralized networks like the Fediverse. Earlier works (2011-2017) established foundational insights on IEEE 802.11 energy profiles, demonstrating minimal real-world benefits of upgrading from 802.11n to 802.11ac in typical office deployments due to marginal throughput gains against significant costs. No scientific awards, fellowships, or medals were documented in the provided materials. As Principal Investigator, he secured major grants including the EPSRC-funded ILNP Demonstration Testbed (2020-2021), Scottish Funding Council's Open Health Data for Africa (2019), and the Data Lab EngD programme (2016-2022). His industry relevance extends beyond grants through bespoke consultancy on network technology and protocol implementations. Current PhD projects explicitly seek candidates to explore ILNP's impact on QUIC, datacentre operations, and energy usage in IP communications. His research operates through hands-on testbeds, with the ILNP project providing FreeBSD implementations for real-world IETF hackathons. The work integrates security, energy, and mobility concerns across contexts from military communications (MILCOM papers) to low-resource African health systems, demonstrating consistent commitment to practical, deployable solutions. He actively translates research into press coverage, including IETF Prague Hackathon contributions (2019) and critiques of broadband deployment (2007).

• Engineering Design
• Product Design Engineering
• Design Theory and Methodology
• +13 more

Boris Eisenbart is a Professor of Product Design Engineering at Swinburne University of Technology, jointly appointed between the School of Design and Architecture and the School of Engineering. He serves as the Course Coordinator for the Product Design Engineering Program and is actively engaged in research, teaching, and academic service. His research focuses on engineering design , innovation management , and composite manufacturing , with emphasis on digital modeling, process optimization, and interdisciplinary collaboration. His work spans fields such as Resin Transfer Moulding, finite element simulation, AI in manufacturing, and sustainable product development. Recent publications highlight a strong trend in data-driven modeling , Industry 4.0 , and composite process optimization , often integrating machine learning and simulation techniques to improve manufacturing efficiency and quality. His research also extends to futuristic domains like lunar metallurgy and smart product prototyping. Boris has served on the Programme Committee of the International Conference on Engineering Design (ICED) and is a member of the Editorial Board of the Journal of Engineering Design . Supervision: He is actively supervising numerous PhD students in areas including AI in engineering change, composite automation, digital twins, and sustainable design. Grants: He has led multiple research projects funded by government bodies (e.g., Department of Education Victoria, CSIRO) and industry partners (e.g., Ford, FIA, FALCON UAV), covering topics such as hydrogen storage, lightweight composites, and drone-based bird scarers. Labs and Teams: He leads research through the Swin Composite Sync 4.0 (SCS4) data acquisition system, enabling Industry 4.0 advancements in composite manufacturing. His work integrates digital twins, simulation, and real-time monitoring for process optimization.