جستجوی استاد راهنمای دانشگاهی

Elisa Rojas Sánchezمشاهده پروفایل

استاد

• Networking
• Software-Defined Networking (SDN)
• Edge Computing
• +۷ مورد دیگر

Elisa Rojas Sánchez is a tenured professor at the University of Alcalá, affiliated with the Department of Automation within the School of Telematics Engineering. Her primary research focuses on advanced networking technologies including Software-Defined Networking (SDN), edge computing, IoT integration, and network architecture optimization. She leads the NetIS research group (Networks and Intelligent Systems), exploring innovations in programmable networks and intelligent systems for future communication infrastructures. Her academic background includes a doctoral thesis on high-performance transparent Ethernet switch architectures. She has contributed significantly to protocols like ARP-Path and Torii-HLMAC, advancing scalable routing and fault-tolerant data center designs. Her work bridges theoretical networking research with practical implementations in 6G, industrial IoT, and cloud-edge continuum systems. Recent publications highlight breakthroughs in data-driven protocols (e.g., BareFlow), AI-driven fault prediction in smart grids, and topology-aware resource management in dense networks. She also explores educational innovations like gamification in engineering teaching and hybrid SDN methodologies. Key Research Themes: SDN protocols, edge computing frameworks, IoT scalability, network resilience, AI in networking Notable Achievements: Developed open-source tools like NetIDE, contributed to OpenFlow standards, and pioneered multi-path routing algorithms Her work frequently addresses real-world challenges such as latency reduction in programmable ASICs (Tofino P4), secure in-band control channels, and collaborative resource-sharing in edge environments. She actively participates in international conferences as a program chair and continues advancing the next generation of network architectures.

• Programming Languages
• Program Synthesis
• Program Verification
• +۷ مورد دیگر

Jedidiah McClurg is an Assistant Professor in the Department of Computer Science at Colorado State University, with prior faculty appointments at Colorado School of Mines and the University of New Mexico. He received his Ph.D. in Computer Science from the University of Colorado Boulder in 2018, where he was a member of the CUPLV research group under the supervision of Pavol Cerny. His research focuses on programming languages, program synthesis, verification, and their applications in networking, compilers, and distributed systems. His educational background includes an M.S. in Computer Science from Northwestern University (2013) and a B.S. in Electrical Engineering from the University of Iowa (2009). He has completed internships at Microsoft Research (RiSE Group, 2014) and Rockwell Collins (2011, 2013, 2004). McClurg’s research interests include programming languages, formal verification, software synthesis, software-defined networking, compilers, and system security. His work aims to develop tools and techniques that help programmers write more secure, reliable, and efficient code, especially in safety-critical domains. He has led multiple NSF-funded projects, including FMitF and CRII grants, totaling over $1 million in funding. His recent publications span high-impact venues such as PLDI, CAV, DISC, and SOSR, with topics ranging from neural network optimization and regular expression synthesis to network program verification and FEC code generation. These works reflect a consistent trend toward automating correctness, improving performance, and enabling scalable solutions in systems and networking. NSF CRII: SHF: Foundations for Stateful Network Programming ($175,000) NSF FMitF: Game Theoretic Updates for Network & Cloud Functions ($355,000 for him) NSF FMitF: Robust Enforcement of Customizable Resource Constraints ($250,000 for him) NSF GRFP (awarded to student Lauren Baker) He has advised multiple graduate and undergraduate students, many of whom have secured positions at leading tech companies such as Google, Apple, and Amazon. He is actively involved in academic service, having served on program committees for PLDI, SOSR, CAV, and others, and as a reviewer for journals like IEEE/ACM Transactions on Networking (ToN) and ACM Transactions on Software Engineering (TSE). He also contributes to open-source research via GitHub and maintains a strong online academic presence.

Peter Danielisمشاهده پروفایل

استاد

• Parallel Systems
• Distributed Computing
• Time-Sensitive Networking
• +۴ مورد دیگر

Prof. Dr.-Ing. habil. Peter Danielis holds an Extraordinary Professorship in Parallel Systems at the Institute of Computer Science, University of Rostock. His research focuses on parallel and distributed systems with applications in time-sensitive networking, autonomous underwater vehicles, and industrial IoT. He serves as Deputy Director of the Institute of Computer Science (IFI) and participates in editorial boards for multiple conferences and journals. His primary research interests span Parallel Systems , Distributed Computing , and Time-Sensitive Networking , with significant contributions to mobile opportunistic networks and real-time communication in industrial settings. Current projects include cooperative navigation of autonomous underwater vehicles (AUVs) and distributed communication networks for IoT applications. His work bridges theoretical research with industrial implementation, particularly in deterministic networking for critical infrastructure. Analysis of his recent publications (2020-2025) reveals strong emphasis on Time-Sensitive Networking (TSN) for industrial automation, with 7 of 15 recent papers directly addressing TSN scheduling, reliability, and traffic management. Secondary focus areas include Autonomous Underwater Vehicle coordination (3 papers) and Mobile Opportunistic Networks for urban sensing. His methodology combines simulation, protocol design, and real-world validation. Professional affiliations include membership in the Institute of Electrical and Electronics Engineers (IEEE). He serves as TPC member and editorial board member for various conferences and journals. His teaching portfolio covers High Performance Computing, Operating Systems, and Complex Software Systems. As Deputy Director of the Institute of Computer Science, he oversees academic operations while maintaining active research leadership. His laboratory work focuses on real-time communication systems and underwater vehicle networks, utilizing simulation frameworks like OMNeT++ for protocol validation. Current research directions include adaptive TSN scheduling and cooperative AUV navigation in dynamic environments.

Eman Ramadanمشاهده پروفایل

مدرس

• Networking
• Edge and Cloud Computing
• Artificial Intelligence/Machine Learning (AI/ML) for Networked Systems
• +۶ مورد دیگر

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 Springمشاهده پروفایل

مدرس ارشد

• Quantum Computing
• Classical and Quantum Security
• Cybersecurity
• +۷ مورد دیگر

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.

Kirill Levchenkoمشاهده پروفایل

دانشیار

• Cyber-physical system security
• Network security
• e-crime
• +۴ مورد دیگر

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
• +۳ مورد دیگر

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.

Eder Ollora Zaballaمشاهده پروفایل

پژوهشگر

• Software-Defined Networking
• Control Plane Programming
• Data Plane Programming
• +۱۰ مورد دیگر

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.

Bruno M. Xavierمشاهده پروفایل

دانشیار

• machine learning
• software-defined networking
• programmable data planes
• +۱ مورد دیگر

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.

Praveen Tammanaمشاهده پروفایل

استادیار

• Systems and Networking
• Network Security
• Software-Defined Networking
• +۷ مورد دیگر

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.

Jorge Crichignoمشاهده پروفایل

استاد

• High-Speed Networks
• Cybersecurity
• Science DMZs
• +۶ مورد دیگر

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.

Isaías Martínez Yelmoمشاهده پروفایل

استاد

• Computer Networks
• Software Defined Networking (SDN)
• Internet of Things (IoT)
• +۵ مورد دیگر

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).

• Engineering Design
• Product Design Engineering
• Design Theory and Methodology
• +۱۳ مورد دیگر

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.

Wolfgang Kellererمشاهده پروفایل

استاد

• Communication Networks
• Software Defined Networking (SDN)
• Network Function Virtualization (NFV)
• +۷ مورد دیگر

Prof. Dr.-Ing. Wolfgang Kellerer is a full professor at the Chair of Communication Networks within the Department of Computer Engineering , TUM School of Computation, Information and Technology . He also serves as an adjunct professor in the Department of Informatics. His research focuses on adaptive, programmable communication networks, particularly Software Defined Networking (SDN) , Network Function Virtualization (NFV) , and 6G technology . He has contributed to quantifying network flexibility and AI-driven network management. Member of the ERC Peer Review Panel (2023-2024) Scientific Director of TUM Venture Lab Robotics/AI/Communication (2020-present) Editorial roles: IEEE Transactions on Network and Service Management , IEEE Communications Surveys & Tutorials His research spans from 5G to 6G , emphasizing ultra-low latency, resilience, and cross-layer optimization. Key projects include 6G-life , 6G Future Lab Bavaria , and ERC FlexNets , with over 300 publications and 40 patents. Scientific Awards include the ERC Consolidator Grant (2015) , IEEE Fellow (2025) , and multiple best paper awards at IEEE/IFIP CNSM, IEEE Future Networks, and ACM SIGCOMM.

Siamak Layeghyمشاهده پروفایل

مدرس

• Cyber Security
• Artificial Intelligence (AI)/Machine Learning (ML)
• Network Security
• +۴ مورد دیگر

Dr. Siamak Layeghy is a Lecturer in the School of Electrical Engineering and Computer Science at The University of Queensland. He holds a PhD in Information Technology and Electrical Engineering from UQ (2018). His research focuses on AI/ML-driven cybersecurity solutions, particularly network intrusion detection systems (NIDS), IoT security, edge learning, and software-defined networking (SDN). Education : PhD in Information Technology and Electrical Engineering, The University of Queensland (2018) Research Interests : Application of ML techniques (Transformers, GNNs, GANs) for network and IoT security Edge computing and hardware acceleration (e.g., Edge TPU) Domain-invariant NIDS and cross-platform security solutions Federated learning and blockchain for collaborative intrusion detection His work emphasizes explainability, generalization, and real-world deployability of AI models in cybersecurity. Publications : Over 50 peer-reviewed articles, including high-impact journals like Expert Systems with Applications and IEEE Transactions . Key themes include sensor-based anomaly detection, SDN security, and framework development (e.g., FlowTransformer). Labs/Teams : Active contributor to the development of open-source frameworks like FlowTransformer and datasets such as NF-CSE-CIC-IDS2018-v3. Collaborates with industry partners on IoT security and edge computing.