Find Academic Supervisors

• Optical Networks
• Data Center Networks
• Optical Interconnects
• +7 more

Dr. Khurram Aziz is a Senior Instructor in the Faculty of Computer Science at Dalhousie University , Halifax, Canada. He is actively engaged in teaching and research, with a focus on optical networks, data center interconnects, and network performance modeling. Education: PhD in Electrical Engineering, Vienna University of Technology, Austria (2008) MSc in Electrical Engineering, National University of Singapore (2003) BSc (Hons) in Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan (1998) His research interests include optical packet and burst switched networks , optical interconnects for data centers , analytical modeling and simulation , and network routing and switching . He has contributed extensively to the design and performance evaluation of scalable optical switches and hybrid switching systems. The recent publications reflect a strong trend in data center optical networks , focusing on performance, blocking probability, signal degradation, and architectural classification. His work bridges theoretical modeling with practical simulation frameworks, such as CloudNetSim++ in OMNeT++, contributing to cloud and high-capacity network research. Dr. Aziz has no listed scientific awards in the provided text. He teaches several core computer science courses including CSCI 2141: Intro to Database Systems , CSCI 3171: Network Computing , CSCI 3132: Object Orientation and Generic Programming , and CSCI 3120: Operating Systems . There is no mention of graduate student supervision or external research grants. He has co-authored book chapters in major handbooks on data centers and switched systems. Dr. Aziz has not listed any formal lab or research team affiliations in the provided content.

T. S. Eugene NgView profile

Professor

• Computer Networks
• Networking Architecture
• Optical Networking
• +5 more

T. S. Eugene Ng is a Professor of Computer Science and Electrical & Computer Engineering at Rice University. He holds appointments in both departments and chairs the CS Grad Committee. His research focuses on network architectures, optical networking, and machine learning applications in distributed systems. Education: B.S. in Computer Engineering (with distinction and magna cum laude), University of Washington M.S. and Ph.D. in Computer Science, Carnegie Mellon University Research Interests: Developing robust network infrastructure, optical circuit-switched systems, congestion control, and efficient machine learning frameworks. Current projects include BOLD (Big data and Optical Lightpaths Driven) networking, telemetry systems like Söze, and gradient compression techniques for distributed training. Awards: IEEE Fellow (2023) Alfred P. Sloan Research Fellow (2009) National Science Foundation CAREER Award (2005) IBM Faculty Award (2009) Kavli Fellow Professional Activities: Chair of the 2018 ACM SIGCOMM Distinguished Dissertation Award Committee, Associate Editor for IEEE Transactions on Big Data, and organizer of multiple networking conferences/workshops. Active in program committees for SIGCOMM, NSDI, and CoNEXT. Teaching: Courses include Introduction to Computer Networks, Advanced Computer Networks, and seminars in distributed computing and network systems.

• Computer Networks
• Data Center Networking
• Software Defined Networking (SDN)
• +5 more

Yashar Ganjali is a Professor in the Department of Computer Science at the University of Toronto , leading the Systems and Networking Group . His research spans computer networks , with a focus on data center networking , software-defined networking (SDN) , and congestion control . Education : Not explicitly detailed, but inferred from academic rank as a Professor. His work on flow consolidation , load migration in SDN controllers , and machine learning for network management has been influential. Recent projects include FORESIGHT (2025) for ML-driven scheduling and Meta-Migration (2023) to reduce switch migration latency. Scientific Awards include the IFIP Networking 2025 Best Paper Award . Collaborations with institutions like Google (2024) and Facebook (2019) highlight his industry impact. Advisees include Sepehr Abbasi Zadeh (PhD, 2024). Current projects integrate optical packet switching and eBPF-based network augmentation , aiming to address scalability, micro-bursts, and resource allocation efficiency in cloud environments.

• Telecom Networks
• Optical Networks
• Complex Networks
• +2 more

Y. N. Singh is a Professor in the Department of Electrical Engineering at Indian Institute of Technology Kanpur . He holds a PhD and M.Tech from IIT Delhi and a B.Tech from REC Hamirpur . Education PhD, IIT Delhi (1997) M.Tech, IIT Delhi (1992) B.Tech, REC Hamirpur (1991) His research focuses on telecom networks , optical networks , complex networks , and wireless sensor networks , with significant contributions to network protection protocols, rumor propagation modeling, and optical memory design. His work on p-cycles has advanced telecom network survivability techniques. Selected publications include key papers in IEEE/OSA Journal of Lightwave Technology and Acta Physica Polonica B . He has received the AICTE Young Teacher Award (2002) and the Dr. M.N. Saha Memorial Award (2006). Contact details Office: EE/ACES, IIT Kanpur, UP, India-208016 Phone: 0512-[679/392/259]-7944 (O) Lab: 0512-[679/392/259]-7841, 7070 Fax: 0512-259-0063

• Optical Communications
• Optoelectronic Circuits
• Optical Switching
• +7 more

Amalia Miliou is a Professor in the Department of Informatics at Aristotle University of Thessaloniki, where she has served since 1993, progressing through the academic ranks from Lecturer to her current position as Professor since 2022. She holds a PhD in Electrical and Computer Engineering from the University of Florida (1991) with specialization in Optoelectronics, following an MSc in the same field (1988) and a Physics degree from Aristotle University (1985). Her research focuses on optical communications systems, with specific expertise in optoelectronic circuits simulation, optical switching, optical RAM development, converged fiber-wireless technology, 5G networks, and secure optical communications using chaos theory. Over her career, she has supervised numerous graduate students across these research areas, with thesis topics spanning optical memory systems, fiber-wireless integration, chaos-based secure communications, and advanced optical network architectures. Her recent publications (2021-2024) demonstrate a strong focus on next-generation optical networking solutions for 5G/6G applications, including fiber-wireless convergence, optical memory systems for high-speed networks, and innovative approaches to optical signal processing. Her work bridges fundamental photonics research with practical telecommunications applications, particularly in addressing the bandwidth and latency challenges of modern mobile networks. Professor Miliou has served as the Coordinator of the LLP-ERASMUS student exchange program at the Department of Informatics since 1997 and has held various administrative positions including membership in the University Senate and General Assembly. She has led and participated in numerous research projects, most recently focusing on technological improvements for 5G systems through optical-wireless network development (2019-2021), next-generation healthcare applications leveraging 6G networks (2023-2027), and photonic integrated circuits for random access memory (2012-2015).

Andrea FumagalliView profile

Professor

• Optical Networking
• Photonic Slot Routing
• Wavelength Routing and Protection
• +7 more

Andrea Fumagalli is a Professor in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science , The University of Texas at Dallas. He earned his Ph.D. (1992) and Laurea (1987) in Electrical Engineering from Politecnico di Torino, Italy. Research Interests: All-Optical Network Architectures, Photonic Slot Routing, Wavelength Routing and Protection, Sensor Networks, Cooperative Wireless Networks, Network Optimization, Next Generation Internet (NGI), and Multi-hop Optical Networks. Education: Ph.D., Electrical Engineering, Politecnico di Torino (1992) Laurea, Electrical Engineering, Politecnico di Torino (1987) Key Research Trends: His recent publications focus on 5G networking, optical network automation, elastic optical networks, network reliability, and cross-layer optimization. He explores FPGA acceleration in 5G Low-PHY functions, live migration of containerized network components, and spectral fragmentation mitigation in EONs. Scientific Awards: Best Teaching Award, Electrical Engineering, UTD (2002) Best Thesis Award for Ph.D. Advisee Isabella Cerutti (2002) IEEE ComSoc Distinguished Lecturer Tour (2000) Best Paper Award (1999): 'An Optimal Design Algorithm for Photonic Slot Routing Networks Migrating to Optical Packet Switching' Advising and Grants: He advised Ph.D. student Isabella Cerutti. In 2001, he secured a $300,000 grant from FUNDACAO CPqD for optical network reliability research. He leads the Optical Networking Advanced Research (OpNeAR) Lab at UTD, collaborating on international projects like the Italian government-funded grid computing initiative (2002) and the OMEGA Test-bed for differentiated reliability. Laboratories and Teams: He directs the OpNeAR Lab , which develops tools for optical network emulation and reliability testing. His projects involve partnerships with institutions in Brazil (Unicamp), Sweden (KTH), Italy (Politecnico di Torino, Scuola Superiore Sant'Anna), and CNR/CNIT.

• Optical Packet/Burst Switching
• High-Speed Optical Signal Processing
• Wireless Optical Networks – Radio-over-fiber access networks
• +11 more

Pleros Nikos is a Professor in the Department of Informatics at Aristotle University of Thessaloniki (AUTH), leading the Photonics Systems and Networks (Phos-Net) research group and co-founding the interdisciplinary Wireless and Photonic Systems and Networks (WinPhoS) research group in 2016 at AUTH’s Center for Interdisciplinary Research and Innovation (C.I.R.I.). His office is located in Kalamaria, Office 15, with office hours Tuesday/Wednesday 10:00-12:00 and Thursday 16:00-17:00. His research spans optical and photonic systems, specializing in Optical Packet/Burst Switching, High-Speed Optical Signal Processing, Wireless Optical Networks (including Radio-over-fiber access networks), and High-Speed WDM/OTDM Optical Transmitters. The WinPhoS group, which integrates departments of Physics, Informatics, and Electrical Engineering, advances applications in integrated photonics, plasmonics, optical interconnects for DataCenters, neuromorphic photonics, and 5G mmWave fiber-wireless systems, supported by state-of-the-art laboratories for optical interconnects and mmWave testing. WinPhoS has participated in over 30 FP7 and Horizon EU research projects during the last 15 years, frequently serving as project coordinators, and maintains global collaborations with institutions and industry across Greece, Europe, the USA, and Japan. Professor Nikos actively mentors PhD students, with current openings in “Photonic Neural Networks and Photonic AI processors”, and oversees research grants focused on next-generation optical networking technologies.

• Networking and Communications
• Blockchain Technology
• Smart Grids and Energy Systems
• +5 more

Roberto Rojas-Cessa is a Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT), affiliated with the School of Applied Engineering and Technology. His research focuses on networking, blockchain applications in smart cities, energy systems, wireless communications, and high-performance switching. He has led multiple National Science Foundation (NSF)-funded projects, including initiatives on controlled delivery power grids and next-generation network quality of service. Notably, his work explores blockchain for energy metering, sustainable environmental measures, and smart grid optimization. He is also a Senior Member of the National Academy of Inventors (2024). His research interests span network protocols, distributed systems, and IoT applications. Recent projects include AMI-Chain (a blockchain-based power metering system) and studies on indirect free-space optical communications for vehicular networks. He has contributed to advancements in medium access control for crowded networks and energy packet switches for digital microgrids. Rojas-Cessa’s work integrates machine learning for network management and flood impact analysis. He has developed tools for time-lapse analysis of urban data and agent-based models to evaluate electric vehicle adoption. His publications emphasize scalability, security, and efficiency in both traditional and emerging technologies. Grants: Collaborative Research on Power Grids (NSF, 2016–2018), NeTS-NR: Quality of Service Networks (NSF, 2004–2008) Awards: Senior Member of the National Academy of Inventors (2024) His lab activities include experimental evaluations of digital microgrids and blockchain implementations for carbon footprint tracking. He actively collaborates on projects addressing emergency communications and resilient energy distribution systems.

• Optical Packet Switching
• High-Speed Optical Signal Processing
• Wireless Optical Access Networks
• +11 more

Nikos Pleros serves as a Professor in the Department of Informatics at Aristotle University of Thessaloniki (AUTH), where he leads the Wireless and Photonic Systems and Networks (WinPhoS) research group established in 2016 at AUTH’s Center for Interdisciplinary Research and Innovation (C.I.R.I.). This interdisciplinary initiative bridges the Departments of Physics, Informatics, and Electrical and Computer Engineering, focusing on advanced research in communication systems and networks. His research spans critical domains in photonics and optical networking, including Optical Packet Switching, High-Speed Optical Signal Processing, Wireless Optical Access Networks, and High-Speed Optical Telephony Switching Systems. Additional expertise encompasses Integrated Photonics, Plasmonics, Optical Interconnects for Data Centers, Optical Computing architectures, Neuromorphic Photonics, and 5G mmWave fiber-wireless integration, addressing next-generation computing and telecommunications challenges. WinPhoS operates world-class laboratories featuring high-speed optical interconnect testbeds, 5G mmWave platforms, and Photonic Integrated Circuit characterization facilities. With over 30 FP7 and Horizon EU research projects coordinated in the past 15 years, the group maintains global collaborations across Greece, Europe, the USA, and Japan. Current initiatives include two active PhD openings in Photonic Neural Networks and Photonic AI processors, reflecting ongoing innovation in neuromorphic computing hardware.

Manish GargView profile

Researcher

• Attosecond Science
• Quantum Microscopy
• Ultrafast Spectroscopy
• +7 more

Dr. Manish Garg is the Head of the Research Group 'Quantum Microscopy and Dynamics' at the Max Planck Institute for Solid State Research in Stuttgart, Germany. He holds a Group Leader (W2) position since 2024, having previously served as a Research Group Leader from 2020-2023 in the Department of Nanoscale Science. His research integrates attosecond science, scanning tunneling microscopy, and ultrafast Raman spectroscopy to develop a four-dimensional quantum microscope capable of capturing electrons and atoms in action at fundamental space-time limits. PhD (Dr. rer. nat.) in Physics from LMU Munich, Germany (2012-2017) Integrated B.S.-M.S. from Indian Institute of Science Education and Research, Kolkata, India (2007-2012) Dr. Garg's research focuses on developing techniques to observe and control quantum phenomena at the atomic scale. His group has pioneered methods to visualize electron dynamics with attosecond temporal resolution and sub-Ångström spatial resolution, enabling unprecedented insights into molecular processes. Recent breakthroughs include selective excitation of molecular vibrations, real-time tracking of electron oscillations in nanodevices, and imaging coherent phonon wave packets in graphene nanoribbons. His publication record shows a consistent trajectory of high-impact research in leading journals including Nature, Science, and Nature Communications. The work demonstrates expertise across multiple disciplines including attosecond physics, nanoscale imaging, quantum dynamics, and ultrafast spectroscopy, with applications ranging from fundamental quantum mechanics to potential light-wave electronics. Rudolf-Kaiser Preis (2023) Max-Auwärter Award (2022) IMPRS Advanced Photon Science Graduate Fellowship (2012-2016) INSPIRE Fellowship, DST India (2007-2012) Dr. Garg leads a research group comprising postdocs and PhD students working on cutting-edge quantum microscopy techniques. His group has secured significant recognition for developing methods to directly measure electron oscillations in quantum nanodevices and visualize atomic motion in single molecules. Current research focuses on advancing four-dimensional quantum microscopy to capture electronic and atomic dynamics in molecules, two-dimensional materials, and superconductors at fundamental space-time limits. The Quantum Microscopy and Dynamics group operates within specialized facilities at the Max Planck Institute for Solid State Research, utilizing low-temperature scanning tunneling microscopes operating in ultrahigh-vacuum conditions. Their work on picocavities and nonlinear optical spectroscopy at atomic length scales represents the frontier of quantum measurement science.

Alex C. SnoerenView profile

Professor

• Computer Networks
• Distributed Systems
• Networking Security
• +5 more

Alex C. Snoeren is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego (UCSD). He is affiliated with the Systems and Networking Research Group, the Security and Cryptography Research Group, and the Center for Networked Systems. His work focuses on distributed systems, networking, and security, with notable contributions to data center networking, optical systems, and network measurement. He has advised numerous PhD students and has been actively involved in teaching courses such as CSE 120 (Principles of Computer Operating Systems), CSE 123 (Computer Networks), and graduate-level systems and networking courses. His research has led to innovations in network architecture, including projects like RotorNet (optical data center networking) and Eden (far memory integration). Key awards include the Best Paper at ACM SIGCOMM 2023 and multiple best student paper recognitions. His work spans both theoretical and applied domains, addressing challenges in network scalability, security, and efficiency.

• Computer Networking
• Software-Defined Networking (SDN)
• Distributed Systems
• +3 more

Mario Baldi is a researcher affiliated with the Polytechnic University of Turin, Italy , with significant contributions to computer networking , distributed systems , and software-defined networking . Key research themes: network function virtualization , programmable dataplanes , time-driven scheduling , and traffic analysis . Recent work focuses on RDMA-enabled compute offloading (2023) and DNN inference in network data planes (2023). Longstanding expertise in multicast routing , voice/data packet efficiency , and XML-based protocol parsing (2000–2006). Collaboration network includes Yoram Ofek , Fulvio Risso , and Han Hee Song , with 99+ publications spanning 1994–2023.

• Systems and Networking
• Computer Architecture
• Machine Learning and Artificial Intelligence
• +3 more

Andrew W. Moore is a Professor of Networked Systems at the University of Cambridge's Department of Computer Science and Technology. His research focuses on networked systems design, high-performance prototyping (e.g., NetFPGA), and latency measurement across scales from data centers to wide-area networks. He has contributed to SDN architectures, reconfigurable networking, and energy-efficient interconnects. He teaches courses including Computer Networking (Part IB), Scientific Computing (Part IA), and advanced modules on network measurements and system performance. His work emphasizes open-source tools and reproducible research, with publications in top venues like IEEE Transactions and ACM SIGCOMM. Research interests span Systems and Networking, Computer Architecture, Machine Learning applications in networking, and Security. Recent work addresses data center latency optimization, SDN-enabled IXPs, and FPGA-based network prototyping. Collaborations include projects on energy-aware networks and hardware-software co-design. He leads the NetFPGA initiative, a widely used open-source FPGA platform for networking research and education. His lab also explores emerging storage media and applications of software-defined networking in critical infrastructure.

• Computer Architecture
• High-Performance Computing
• Distributed Systems
• +12 more

Yolanda Becerra Fontal is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Barcelona School of Informatics (FIB). She is actively involved in research projects and collaborations, notably with the Barcelona Supercomputing Center, and is a member of prominent research groups such as the High Performance Computing Group (CAP) and CROMAI (Computing Resources Orchestration and Management for AI). Research Interests: Her research spans a broad spectrum of computer systems, with a consistent focus on performance, efficiency, and scalability. Key areas include Computer Architecture , High-Performance Computing (HPC) , Distributed and Cloud Systems , Resource and Energy Management in virtualized environments, and Data-Intensive Computing . More recently, her work has centered on innovative time-series database systems and data management for edge and cloud analytics. Publication Trends: Her recent scholarly output (2020-2022) shows a strong emphasis on time-series data management, proposing novel database architectures like NagareDB and strategies for polyglot persistence. Earlier work (2009-2013) was pivotal in MapReduce workload management, energy accounting for virtualized systems, and optical data center networks, demonstrating a long-standing contribution to foundational distributed computing challenges. Scientific Contributions: Her work has been published in top-tier journals and conferences such as Future Generation Computer Systems , IEEE Transactions , and Nucleic Acids Research . She has also contributed to significant competitive R&D projects and holds patents related to data flow management and distributed indexing. Advising and Grants: Dr. Becerra Fontal has served as a thesis advisor for doctoral students. Her research has been funded through competitive grants from national and regional programs, including Spanish State Research Plans (Plan Estatal de Investigación) and Catalonia's RIS3CAT strategy, supporting projects on high-performance computing and data management. Research Groups and Labs: She is a core member of the CAP - High Performance Computing Group and the CROMAI - Computing Resources Orchestration and Management for AI group at UPC. Her work is closely associated with the Barcelona Supercomputing Center (BSC) , one of Europe's leading supercomputing facilities, indicating access to advanced computational infrastructure.

Patty StabileView profile

Associate Professor

• Photonics
• Integrated Optics
• Optical Networks
• +3 more

Patty Stabile is an Associate Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), specializing in Indium Phosphide (InP) photonic integrated circuits for next-generation optical networks and computing systems. She is affiliated with the Electro-Optical Communication group and EAISI High Tech Systems. MSc in Electrical Engineering (2004) from Politecnico di Bari PhD in Nanoscience (2008) from National Nanotechnology Laboratory, Lecce Her research focuses on integrating electronics and photonics for ultra-high-speed data routing, leveraging optical parallelism inspired by brain architecture. She also explores low-cost passive coupling concepts and novel materials like 2D materials to enhance photonic platforms. Key contributions include pioneering work on InP-based switch matrices and high-speed transceiver modules, with publications in Microsystems & Nanoengineering , IEEE Photonics Technology Letters , and Journal of Optical Communications and Networking . She received the Early Career Women in Photonics – Special Recognition in 2016. Active in academic communities, Patty serves on the IEEE Photonics Benelux Chapter board, is a member of the TU/e Young Academy of Engineering, and contributes to educational programs in automotive dynamics and brain-inspired optical computation.