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Ripalta StabileView profile

Associate Professor

• Photonics
• Optical Communication
• Photonic Integrated Circuits
• +3 more

Ripalta (Patty) Stabile is an Associate Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). Her research focuses on large-scale photonic integrated circuits using Indium Phosphide (InP) semiconductor optical amplifiers for next-generation optical networks and brain-inspired optical computing architectures. Education: MSc (with honors) in Electrical Engineering from Politecnico di Bari (2004), PhD in Nanoscience from National Nanotechnology Laboratory (2008) Academic Timeline: Postdoctoral Researcher (2009), Assistant Professor (2014), Associate Professor (current) Stabile's work explores photonic computing systems through: Cointegration of electronics and photonics Exploitation of optical parallelism Brain-inspired computational architectures Low-power high-speed transceiver modules High-capacity optical switching systems Advanced photonic materials research Scientific contributions include: 2016 Early Career Women in Photonics – Special Recognition IEEE Photonics Benelux Chapter board member (2016-present) Author/co-author of >100 publications in leading photonics conferences and journals Active in international collaborations with: University of Cambridge (2011) Massachusetts Institute of Technology (2018) Projects: Zwaartekracht Networks ECO, PASSION (2017-2021)

Mahmoud RasrasView profile

Professor

• Photonics
• Silicon Photonics
• Optoelectronics
• +5 more

Mahmoud Rasras is a Professor of Electrical Engineering at New York University Abu Dhabi (NYUAD) and a Global Network Professor of Electrical and Computer Engineering at NYU Tandon. He holds a PhD in Physics from the Catholic University of Leuven, Belgium, and has over 11 years of industrial research experience at Bell Labs/Alcatel-Lucent. His research focuses on silicon photonics (SiPh), integrated circuits for mode- and polarization-division multiplexing, and hybrid integration of 2D materials. Key areas include neuromorphic computing, opto-MEMS accelerometers, and high-speed photonic systems. He has authored over 200 journal/conference papers and holds 34 US patents. Notable achievements include the Roger A. Haken Best Student Paper Award (1999) and Fellowships with the AIIA Industry Academy. Rasras leads the Photonics Research Lab at NYUAD and previously directed the SRC/GlobalFoundries Center for Excellence on Integrated Photonics at Masdar Institute. His research interests span photonic components for optical networks, MEMS-based sensors, and applications in neuromorphic computing. Recent work includes advancements in 2D material integration for tunable photonic systems and security assessment of MEMS gyroscopes under acoustic attacks. Education: PhD in Physics, Catholic University of Leuven Affiliations: NYUAD Division of Engineering, NYU Tandon School of Engineering Key Roles: Directed multi-axis opto-MEMS projects, collaborated with GlobalFoundries/A*STAR, developed low-temperature germanium photodetectors He teaches advanced circuits, photonics, and senior design capstone courses. His work bridges academia and industry, addressing challenges in high-speed communication and sensor security.

• Management Science
• Operations Research
• Optimisation Algorithms
• +7 more

Professor Celia Glass is a faculty member at Bayes Business School (formerly Cass), City, University of London, where she holds the title of Professor of Management Science within the Faculty of Actuarial Science and Insurance. She has been at the institution since 1999 and was awarded a personal Chair in 2003 for Operational Research and later in 2016 for Management Science. She earned her BSc and PhD from King's College London. She has held visiting appointments at Queen Mary University of London and has been actively involved in professional societies. Her research focuses on Management Science and Operations Research , particularly in scheduling, optimization, and logistics. Key areas include doctor and nurse rostering for the NHS, call centre tour scheduling, optimization in telecommunications (wireless mesh and optical networks), combinatorics of acyclic graphs, and production logistics in food safety laboratories. Her work is often supported by EPSRC grants and has practical industrial applications. Her recent publications demonstrate a consistent trend in combinatorial optimization and scheduling theory , with applications spanning healthcare , telecommunications , and manufacturing . Her work frequently involves developing and analyzing algorithms for complex scheduling problems, often with real-world constraints like perishability, employee preferences, and network limitations. Fellow, Operational Research Society Fellow, London Mathematical Society Fellow, Institute of Mathematics and its Applications Member, EPSRC College She has supervised numerous PhD students, including Robert Schumacher, Roger Knight, and Ian B. Davies, on topics related to scheduling and optimization. She has secured research funding and performed significant consultancy work for organizations such as the NHS (Whittington Hospital), OfCom, and the Registered Nursing Homes Association, translating her academic research into practical solutions. She has also co-organized workshops and served on editorial boards for journals like European Journal of Operational Research and Operations Research for Health Care . Professor Glass is a key member of research teams focused on applying operational research to healthcare planning and industrial optimization. Her spin-out company, Nightglass Medical Rostering Ltd., provides customized rostering software for the NHS, showcasing the direct impact of her research.

Ho Fai PoView profile

Lecturer

• Statistical Physics
• Bayesian Inference
• Principled Machine Learning
• +7 more

Ho Fai Po is a Lecturer in Applied Mathematics at Aston University, affiliated with the School of Engineering and Technology within the College of Engineering and Physical Sciences. His research lies at the intersection of statistical physics, Bayesian inference, and machine learning, focusing on modeling complex biological and disordered systems. Research Interests: His work centers on applying theoretical frameworks from statistical physics to understand emergent behaviors in complex systems. Key areas include cortical neuronal networks, spin glasses, energy landscapes, and optimization problems. He employs principled machine learning and combinatorial optimization to infer structure and function from data, with applications in computational neuroscience and systems biology. Publication Trends: His recent publications span journals like PNAS Nexus , Scientific Reports , and Physical Review E , reflecting a strong focus on statistical mechanics applied to both biological and engineered systems. The articles demonstrate a consistent theme of using physics-inspired methods to solve inference and optimization challenges in networked systems. Collaborations and Research Output: He actively collaborates with researchers such as D. Saad and C. H. Yeung. His work includes six research articles and two publicly available datasets related to neuronal network analysis. These contributions highlight his role in advancing data-driven modeling of complex systems. Academic Background: Bachelor’s in Mathematics and Economics Master’s in Mathematics PhD in Statistical Physics Professional Experience: Research Associate in Mathematics, Aston University Lectureship in Data Analytics, University of the West of England (UWE) Lecturer in Applied Mathematics, Aston University (July 2025–present)

Wendy ChenView profile

Senior Lecturer

• AI Acceleration with Photonic Computing and Communication
• Resource Optimization in Computer Systems/Networks/Architectures
• Parallel and Distributed Computing
• +5 more

Dr. Yawen (Wendy) Chen is a Senior Lecturer at the University of New South Wales (UNSW Canberra campus) , affiliated with the School of Systems & Computing . She holds a PhD in Computer Science from the University of Adelaide and focuses on interdisciplinary research at the intersection of photonic computing, AI acceleration, and network optimization. Education: PhD in Computer Science (University of Adelaide) Her research spans computer networks/systems , parallel/distributed computing , photonic computing/communication , and AI-related education . Recent publications highlight advancements in optical network-on-chips (ONoC), energy-efficient protocols for WBANs, and hybrid electrical-photonic computing architectures. Dr. Chen actively recruits PhD and Master’s students with expertise in photonic computing, AI accelerators, and network optimization. She offers scholarships of $37,684 (AUD) for eligible candidates.

Michaël MénardView profile

Professor

• Integrated Optics
• Silicon Photonics
• Optical Telecommunications
• +7 more

Michaël Ménard is a Professor in the Department of Electrical Engineering at École de Technologie Supérieure (ÉTS). Holding a Ph.D. from McGill University, he is based in office A-3316 and actively contributes to the LACIME – Communications and Microelectronic Integration Laboratory. His research focuses on integrated optics , silicon photonics , optical telecommunications , MEMS-based optical switching , and microfabrication . Education : B.Ing., Ph.D. (McGill University) Research areas include nonlinear optics , optomechanics , and diffractive optics , with applications in telecommunications and photonic integrated circuits . His publications highlight expertise in silicon nitride photonics and optical system simulations . Recent articles demonstrate trends in MEMS-actuated photonic switches , inverse-designed waveguide components , and multi-degree-of-freedom actuators . Collaborations with Frédéric Nabki and others emphasize hybrid electrothermal-electrostatic platforms and alignment solutions for photonic integrated circuits. His work has resulted in multiple patents, including methods for wavelength-tunable optical components and MEMS-based packaging systems . As a member of LACIME, he drives innovation in microelectromechanical systems and photonic device optimization .

• Electronic Design Automation
• Microfluidics
• Inkjet-Printed Electronics
• +3 more

Meng Lian serves as a Researcher at the Technical University of Munich's Chair of Electronic Design Automation within the TUM School of Computation, Information and Technology. Affiliated with the Department of Computer Engineering, their work bridges electronic design methodologies with emerging applications in printed electronics and microfluidics. Research interests span multiple cutting-edge domains: Electronic Design Automation for manufacturing optimization Microfluidic biochip design and scheduling Optical Networks-on-Chip topology construction Reliability analysis using machine learning models Recent publications (2021-2025) demonstrate strong output in IEEE TCAD and ACM venues, focusing on practical optimization techniques that reduce manufacturing cycle times by 15-25% across multiple application domains. The work shows particular strength in translating theoretical algorithms into implementable design automation solutions. Meng Lian actively collaborates within TUM's research ecosystem, contributing to funded projects in emerging electronic design methodologies while maintaining strong industry-relevant output in high-impact journals and conferences.

• Internet Measurement
• Network Security
• Fraud Detection
• +3 more

Paul Barford serves as Department Chair and Carl de Boor Professor in the Computer Sciences Department at the University of Wisconsin-Madison, where he leads the networking research group and founded the Wisconsin Advanced Internet Laboratory. His career uniquely bridges academic research and industry entrepreneurship, having spent eight years in technology development prior to academia. He holds a B.S. in Electrical Engineering from the University of Illinois and a Ph.D. in Computer Science from Boston University. His international academic engagement includes visiting professorships at the University of Cambridge (Computer Laboratory), Wolfson College fellowships, and scholarly work at the University of Oxford. Prof. Barford's research centers on internet measurement and security, specializing in analysis of internet data, protocols, and topological structures. His current investigations explore fraud detection systems, traffic anomaly identification, and malicious attack mitigation, with recent work pioneering environmental sensing applications using existing fiber-optic infrastructure. Analysis of his recent publications reveals three dominant research thrusts: (1) DNS infrastructure analysis through corpus construction and graph decomposition, (2) cloud networking optimization via peering strategies and topology programming, and (3) photonic sensing innovations leveraging commodity optical hardware for environmental monitoring. His scholarly contributions are recognized through significant research funding and professional honors: EPSRC visiting fellowship at University of Cambridge Visiting fellowship at Wolfson College, University of Cambridge Prof. Barford secures substantial research support from the National Science Foundation (NSF), Department of Homeland Security (DHS), Army Research Office (ARO), Cisco, and Intel. His entrepreneurial impact includes founding Nemean Networks (acquired by Qualys) for intrusion detection and co-founding MdotLabs (acquired by comScore) for advertising fraud detection, translating academic research into commercial security solutions. The Wisconsin Advanced Internet Laboratory serves as his primary research hub, providing experimental infrastructure for internet measurement studies, security protocol validation, and photonic sensing development, with active collaborations across government and industry partners.

Tingyi GuView profile

Associate Professor

• Integrated Photonic Devices
• Silicon Nanophotonics
• Optical Communication
• +3 more

Prof. Tingyi Gu is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Delaware. Her research focuses on integrated photonic devices, silicon-based nanophotonics, and their applications in optical communication and sensing. She investigates novel materials and integration techniques to enhance device performance and scalability. Education: B.S. (Honors) in Electrical Engineering from Shanghai Jiao Tong University; M.S. and Ph.D. in Electrical Engineering from Columbia University. She held postdoctoral positions at Hewlett Packard Labs, Princeton University, and the University of New Mexico. Research interests include nonconventional photonic properties of nanostructured materials, large-scale photonic integration, and nonlinear optical systems. Her work emphasizes scalable systems with applications in high-speed signal processing, sensing, and space-qualified devices. Recent publications highlight advancements in on-chip resonators, metasurface-driven components, and robust photonic waveguides. These contributions underscore her focus on practical, high-performance photonic systems. Labs/Teams: Collaborated with groups at Hewlett Packard Labs (large-scale photonics), Princeton University (chalcogenide materials), and Alcatel-Lucent Bell Labs (photonic network-on-chip systems).

Lu RuanView profile

Adjunct Associate Professor

• Computer Networks
• Internet Structure
• Interdomain Routing
• +3 more

Lu Ruan is an Adjunct Associate Professor at Azusa Pacific University's Department of Computer Science. Her work focuses on Internet structure, interdomain routing, and network survivability. She holds a Ph.D. and M.S. in Computer Science from the University of Minnesota-Twin Cities (2001 and 1999) and a B.E. from Tsinghua University (1996). Her research explores network efficiency, peering ecosystems, and survivable optical systems. Notable contributions include machine learning approaches for AS graph analysis and dynamic routing protocols. She received the NSF CAREER Award and serves as a Senior Member of IEEE. Education: Ph.D., Computer Science, University of Minnesota-Twin Cities, 2001 M.S., Computer Science, University of Minnesota-Twin Cities, 1999 B.E., Computer Science, Tsinghua University, Beijing, China, 1996 Dr. Ruan has contributed to major conferences like ICCCN, where she co-chaired the Optical and Backbone Networks track in 2010. Her publications span topics from WDM network protection schemes to machine learning-driven network inference. Current work emphasizes resilient optical infrastructure and interdomain routing optimization. Awards: NSF CAREER Award Senior Member of IEEE Her research portfolio includes grants focused on survivable multipath routing and spectrum allocation strategies in optical networks. Collaborations involve designing efficient p-cycle protection mechanisms and hybrid wireless-optical architectures.

Maryam DaryalalView profile

Assistant Professor

• Sequential decision making under uncertainty
• Stochastic programming
• Robust optimization
• +5 more

Dr. Maryam Daryalal is an Assistant Professor in the Department of Decision Sciences at HEC Montréal, affiliated with the University of Montréal. She holds secondary memberships in CIRRELT (Centre Interuniversitaire de Recherche sur les Réseaux d'Entreprise) and GERAD (Groupe pour la Recherche en Analyse des Décisions). Her research focuses on sequential decision-making under uncertainty, stochastic/robust optimization, and their applications in telecommunications, energy systems, and supply chain management. Education: Ph.D. in Industrial Engineering, University of Toronto (2022) M.Sc. in Computer Science, Concordia University (2016) M.Sc. in Industrial Engineering, Amirkabir University of Technology (2013) B.Sc. in Industrial Engineering & Systems Analysis, Amirkabir University of Technology (2011) Research Interests: Her work develops novel methodologies for multistage stochastic programming and robust optimization, addressing challenges in telecommunications network migration, energy systems planning, and large-scale decision-making. She bridges theoretical advances with practical applications through innovative decomposition techniques like hybrid logic-based Benders decomposition. Awards: 2023 INFORMS Telecom Best Paper Award Judith Liebman Award (2021) NSERC Discovery Grant (2024-2029) Advising & Grants: Supervises PhD/MSc students in optimization and telecommunication projects. Leads IVADO grants (e.g., $40k R3AI project) and co-leads a $100k IVADO project on net-zero power grids. Active in Mitacs industry collaborations. Professional Engagement: Serves on INFORMS committees, organizes international conferences (e.g., CORS, INFORMS Computing Society), and reviews for top journals like Operations Research and Mathematical Programming.

Ghulam MurtazaView profile

Researcher

• Quantum Technologies
• Quantum Cryptography
• Photonics
• +3 more

Dr. Ghulam Murtaza is a Postdoctoral Researcher in the Department of Computing and Mathematics at South East Technological University (SETU). His research focuses on quantum technologies, photonics, and telecommunications engineering. He holds a PhD in Quantum Technologies from the University of Naples Federico II (2023), an MSc in Electronics and Communication Engineering from Beijing University of Posts and Telecommunications (2019), and a BSc in Electrical Telecommunication Engineering from Government College University Faisalabad (2015). His key research areas include quantum cryptography, molecular single-photon sources for quantum key distribution, and electromagnetic compatibility in communication systems. Recent work explores room-temperature molecular photon emitters and the impact of coaxial connectors on signal integrity. Publications highlight advancements in quantum communication systems, optical frequency combs, and energy-efficient routing algorithms. His multi-disciplinary approach bridges quantum optics, telecommunications, and machine learning applications in medical imaging.

Janos SimonView profile

Professor

• Computational Complexity
• Algorithms
• Distributed Computing
• +1 more

Janos Simon is a Professor of Computer Science at the University of Chicago. His research focuses on computational complexity, algorithms, and distributed systems, with special interests in lower bound techniques and fault-tolerant models. He serves as Editor in Chief of the Chicago Journal of Theoretical Computer Science. His research explores diverse areas including combinatorial algorithms for optical networks, distributed computing in mobile networks, and biologically-inspired computational models. Work spans theoretical foundations to applied problems in vehicular networks and sensor systems. Professor Simon has supervised numerous PhD students in theoretical computer science and maintains active collaborations in fault-tolerant distributed computations and complexity theory.

• Computer Networks
• Video Streaming
• Multimedia Systems
• +4 more

Prof. Turhan TUNALI is a distinguished Professor in the Department of Computer Engineering at Izmir University of Economics' Faculty of Engineering. With a Ph.D. in Nonlinear Control Systems from Washington University in Saint Louis (1985), his academic career spans over three decades since beginning as an Assistant Professor at Ege University in 1986. Ph.D. - Nonlinear Control Systems, Washington University in Saint Louis (1985) M.S. - Applied Statistics, Ege University (1980) B.S. - Electrical Engineering, Middle East Technical University (1978) Professor TUNALI's research focuses primarily on computer networks, with specialized expertise in video streaming systems, optical networks, and intelligent transportation systems. His work bridges theoretical networking principles with practical implementations in multimedia delivery and transportation applications. He has made significant contributions to peer-to-peer video streaming architectures, bandwidth adaptation algorithms, and optical network resilience strategies. His research demonstrates a consistent trajectory from foundational network protocols to advanced multimedia delivery systems. Analysis of his 15 most recent publications reveals a strong concentration in networked multimedia systems, particularly peer-to-peer video streaming technologies and optical network architectures. His work shows evolution from basic streaming protocols to sophisticated hierarchical clustering frameworks, backup strategies for resilient networks, and security implementations for scalable video coding. The publications span high-impact journals including IEEE Access, Signal Processing: Image Communication, and Computer Standards and Interfaces. Professor TUNALI has served as Editor for the Turkish Journal of Electrical Engineering and Computer Sciences (2015-2016) and has contributed to TÜBİTAK projects. His research has been supported by various funding mechanisms, though specific grants are not detailed in the provided information. He has supervised an impressive 20 graduate students to completion, including 11 PhD candidates and 9 master's students, primarily at Ege University. His advisees have pursued research in areas including video streaming, optical networks, intelligent transportation systems, and healthcare information systems, reflecting his broad research influence. Professor TUNALI maintains an active research laboratory focused on networked multimedia systems, with particular emphasis on resilient video delivery architectures and intelligent transportation applications. His current work appears to be investigating advanced optical networking strategies and next-generation video streaming technologies.

• Telecommunications
• Networking
• Optimization
• +5 more

Michał Pióro is a Professor at the Institute of Telecommunications and Cybersecurity within the Faculty of Electronics and Information Technology at the Warsaw University of Technology. His research focuses on telecommunications, networking optimization, and resilient network design with a particular emphasis on SDN security, wireless sensor networks, and adverse weather resilience. He has published extensively in top journals and conferences including Networks and IEEE Transactions . Key research areas include: Optimization of network controller placements against targeted attacks Resilience strategies for SDN architectures MIMO-based industrial network scheduling Free-space optics (FSO) network reliability in adverse conditions Game-theoretic approaches to network security Recent work highlights joint optimization of primary/backup controllers for SDN resilience and novel scheduling techniques for industrial control traffic using Massive MIMO systems. His research frequently intersects with practical applications in critical infrastructure and 5G deployments. He has collaborated extensively with researchers from institutions like INRIA (France), Telecom ParisTech, and multiple industry partners. His work has been supported by grants focusing on resilient communication networks and cybersecurity innovations.