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Michael KuhnView profile

Senior Lecturer

• Astronomy
• Astrophysics
• Star Formation
• +6 more

Dr. Michael Kuhn is a Senior Lecturer in the Department of Physics, Astronomy and Mathematics at the University of Hertfordshire, where he is a member of the Centre for Astrophysics Research (CAR) within the School of Physics, Engineering & Computer Science. His research focuses on star formation using multiwavelength observations from X-ray to radio wavelengths, with a particular interest in young stellar objects (YSOs) and their environments. Dr. Kuhn earned his B.A. in Astrophysics from Pennsylvania State University (2003-2007) followed by a Ph.D. in Astronomy & Astrophysics from the same institution (2008-2014). His external positions include research appointments at California Institute of Technology (2018-2022), Chilean National Science Funding Programme (FONDECYT) (2014-2017), and Pennsylvania State University (2007-2014). His research interests center on understanding star formation processes, with specific questions addressing what controls star-formation rates, which star-formation events produce gravitationally bound star clusters, and how stars assemble their masses. He employs statistical modeling, mixture models, and spatial point processes in his astrostatistics work. His notable research highlights include demonstrating that most young stellar clusters are expanding and gravitationally unbound (2019), compiling the Spitzer/IRAC Candidate YSO (SPICY) catalogue (2021), and discovering a spur extending out of the Milky Way's Sagittarius Arm (2021). Dr. Kuhn's recent publications (2024-2025) reveal a strong focus on externally irradiated protoplanetary disks (particularly through the XUE project), young stellar object outbursts and variability, and the development of tools for transient discovery. His work spans observational astronomy, statistical analysis, and data science applications in astrophysics, with significant contributions to understanding star formation in extreme environments. Among his scientific achievements, Dr. Kuhn serves as Principal Investigator for the James Webb Space Telescope GO programme #5791 'The Crucible of Planet Formation' and has been a member of the Cosmostatistics-Initiative (COIN) since 2019. His research has generated numerous press releases from NASA, ESO, and other major astronomical organizations. Dr. Kuhn actively engages in advising and collaborative research, with significant grant activity including the JWST program and participation in multiple international collaborations. He leads work on the SPICY catalog containing over 100,000 candidate young stellar objects and contributes to the ELEPHANT pipeline for detecting hostless astronomical transients. As part of the Centre for Astrophysics Research, Dr. Kuhn collaborates with researchers across multiple institutions on projects involving the VISTA Variables in the Vía Láctea survey, Gaia data analysis, and JWST observations. His team focuses on developing statistical methods for analyzing star-forming regions and young stellar populations.

Wolfgang KellererView profile

Professor

• Communication Networks
• Software Defined Networking (SDN)
• Network Function Virtualization (NFV)
• +7 more

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.

Vincent LiuView profile

Associate Professor

• Distributed Systems
• Networking
• Programmable Networks
• +7 more

Vincent Liu is an Associate Professor in the Department of Computer and Information Science at the University of Pennsylvania's School of Engineering and Applied Science. He directs the Distributed Systems Lab (DSL) and leads the PennNetworks research group. His research bridges distributed systems and networking, focusing on programmable networks, fault-tolerance, cloud infrastructure, and Internet architecture. Education includes a Ph.D. from the University of Washington and undergraduate research at the University of Texas at Austin in compilers and parallel systems. Research spans distributed systems optimization, cloud computing, sustainable computing, and ML infrastructure. Recent publications emphasize low-latency systems (Paella), cloud multicast (Cloudcast), distributed snapshots (Beaver), and sustainable computing frameworks (Carbon Connect). Network simulation innovations include DONS and NetVision. Awards & Honors: NSF CAREER Award (2019) VMWare Early Career Award (2019) Best Paper Award, USENIX NSDI (2015) Google Fellowship in Networking (2014) Qualcomm Innovation Fellowship (2014) Facebook Faculty Research Award Google Research Award Advises 11+ PhD students, with graduates at Meta, AWS, Microsoft Research, and academia (e.g., Qizhen Zhang, Asst. Prof. at Toronto). Secured grants from NSF, VMWare, Facebook, and Google. Leads the Distributed Systems Lab and PennNetworks group exploring cloud architectures, programmable networks, and sustainable computing. Actively recruiting PhD students.

Nate FosterView profile

Professor

• Computer Science
• Programming Languages
• Software-Defined Networking
• +5 more

Nate Foster is a Professor of Computer Science at Cornell University and Associate Dean for Research since 2024. He works in the intersection of programming languages and network science , focusing on formal methods for network verification , language design , and type systems . Research Focus: Ethics, Law, and Policy in Information Science Human-Computer Interaction Network Science and Software-Defined Networking Formal Verification and Type Systems Provenance and Security Scientific Awards: ACM Fellow (2025) ACM SIGPLAN Robin Milner Award (2023) ACM SIGCOMM Rising Star Award (2018) National Science Foundation CAREER Award (2013) Current Projects include Reinforcement Learning for Network Security , Formal Foundations for Programmable Data Planes , and (Co)-Algebraic Foundations for Programmable Networks . His recent publications focus on network verification (NetKAT, StacKAT), data plane programming (Petr4, SafeP4), and security (Ancile, Proof-Carrying Code).

• Programmable Networks
• Network Routing
• Network Management
• +1 more

Rob Harrison serves as an Academy Professor in the Department of Electrical Engineering and Computer Science at the United States Military Academy (West Point). A Colonel in the U.S. Army, he brings extensive military experience including three deployments in support of Operation Iraqi Freedom and training in Airborne School, Signal Officer Basic Course, and other advanced military courses. His academic credentials are as follows: Doctor of Philosophy (Ph.D.) in Computer Science, Princeton University Master of Science in Engineering (M.S.E.) in Computer Science, Princeton University Bachelor of Science (B.S.) in Computer Science, United States Military Academy (2003) Colonel Harrison's research centers on programmable network hardware and software, network routing and management, and cybersecurity. His work is highly relevant to military network operations and has led to innovations in software-defined networking, network telemetry, and cyber officer force development. He has published extensively on topics including network programming languages (e.g., Frenetic), switch programming, and heavy hitter detection. An analysis of his 15 most recent publications reveals a consistent focus on network monitoring and management systems. Starting from foundational network programming languages, his research evolved to address practical challenges in network telemetry, leading to systems like Sonata and DynamiQ. More recent work tackles scalability and robustness in hybrid telemetry systems and the educational aspects of cyber science. The provided text does not mention any scientific awards or honors. Information regarding students advised or research grants received was not provided in the source material. While specific laboratory affiliations are not stated, his research appears to be conducted within the context of the Department of Electrical Engineering and Computer Science at West Point, likely in collaboration with military cyber units.

Tong YangView profile

Professor

• Partial Differential Equations
• Kinetic Theory
• Boundary Layer Theory
• +3 more

Professor Tong Yang serves as Chair Professor of Mathematical Science at The Hong Kong Polytechnic University, holding the prestigious Kuok Group Professorship. He is a Foreign Member of Academia Europaea (2022), Member of The Hong Kong Academy of Sciences (2021), and Fellow of multiple academies including The World Academy of Sciences and American Mathematical Society. His research focuses on Partial Differential Equations derived from Fluid Dynamics , Boundary Layer Theory , High Reynolds Number Limits , and Kinetic Theory . Notable achievements include establishing the well-posedness of Prandtl equations in Sobolev and Gevrey spaces, and developing innovative analytical approaches for shear flow stability in compressible settings. Recent publications demonstrate sustained research excellence, with 17 outputs since 2022 primarily centered on Boltzmann equations, fluid dynamics, and mathematical physics. His work bridges theoretical mathematics with practical applications in fluid mechanics and statistical physics. Foreign Member of Academia Europaea (2022) Member of The Hong Kong Academy of Sciences (2021) Member of The World Academy of Sciences Foreign Member of The European Academy of Sciences American Mathematical Society Fellow RGC Senior Research Fellow Kuok Group Professor in Mathematical Science Professor Yang actively serves the mathematical community as former President of the Hong Kong Mathematical Society (2016-2020) and former officer of the Mathematics Division, European Academy of Sciences (2019-2023). He currently contributes to the Programme Committee for the Future Science Prize Week 2023, demonstrating ongoing leadership in advancing mathematical sciences regionally and globally.

Aakil CaunhyeView profile

Senior Lecturer

• Optimization
• Mathematical Programming
• Robust Optimization
• +5 more

Aakil Caunhye serves as a Senior Lecturer in Business Analytics and Programme Director for the MSc Management program at the University of Edinburgh's Business School, Department of Management Science and Business Economics. Previously holding positions as Lecturer (2018-2023) and School Senior Tutor (2021-2024), he has established himself as a leading researcher in optimization methodologies with applications in humanitarian logistics and critical infrastructure resilience. His research interests span robust optimization, stochastic programming, cutting plane algorithms, and decision rules, with application areas including humanitarian logistics, engineering systems design, critical infrastructure resilience, power grid expansion planning, and route restoration. His recent work explores contextual optimization as a bridge between predictive and prescriptive analytics. His publication portfolio demonstrates a strong focus on humanitarian applications of optimization techniques, with recent articles examining equitable disaster response planning, pandemic control strategies, and emergency supply pre-positioning. These works consistently apply advanced mathematical programming techniques to real-world problems with significant societal impact. IISE Transactions Design & Manufacturing best application paper (2019) IISE Transactions journal article featured in ISE Magazine (2017) Outstanding reviewer award for OR Spectrum (2025) Standard Chartered Bank Book Prize (2009) Caunhye has secured significant research funding including a S$249,974.58 grant from Singapore's National Research Foundation for improving Mass Rapid Transit Network resilience, collaborating with institutions including MIT and UC Berkeley. He currently leads multiple research projects including Techo-Economic Modeling of Power Systems and Convex analysis for Effectiveness-Equity Measures. His teaching responsibilities include Principles of Data Analytics, Data Mining, and Prescriptive Analytics with Stochastic Programming.

René GlebkeView profile

Researcher

• Cyber-Physical Systems
• Industrial Control Systems
• Data Communication
• +3 more

René Glebke is a Researcher at RWTH Aachen University's Communication Systems Group (COMSYS), focusing on Cyber-Physical Systems (CPS). His work emphasizes reliable data communication for industrial control, critical infrastructure, and low-level packet processing. He is affiliated with projects like QuGrids (Quantum-based Energy Grids) and the Cluster of Excellence 2023 Internet of Production. Previously, he contributed to DFG SPP 1914 projects (e.g., REFLEXES, REDeFiNE). Teaching: Organized Practical Internet eXperience (PIX) Lab and seminars on Advanced Internet Technology. Awards: Best Paper (2012), Best Student Paper (2012), and a Best Paper Nomination (2021). Research Trends: Recent articles address energy grids, NILM domain bias, and in-network computing for industrial systems. Advising: Supervised 33 students across Bachelor’s/Master’s theses and 34 seminar topics. Active in lab organization (e.g., Research Focus Class on In-Network Processing). Labs/Teams: Core member of COMSYS, involved in the Internet of Production initiative.

Y. Richard YangView profile

Professor

• Computer Networks
• Wireless Networking
• Mobile Computing
• +2 more

Y. Richard Yang is a Professor of Computer Science and Electrical Engineering at Yale University, where he leads research in computer networks, wireless systems, and distributed computing. He is a core member of Yale's Computer Systems Lab and has pioneered Internet standards like ALTO (RFCs 7285/9439/9569). His work on massive MIMO (Argos) laid foundations for 5G cellular networks. Education: Ph.D. in Computer Science, University of Texas at Austin (2001) M.S. in Computer Science, University of Texas at Austin (1998) B.E. in Computer Science, Tsinghua University (1993) Research Interests: Yang's work spans network architecture (ALTO/P4P), wireless innovations (beamforming, superposition coding), and network verification (Flash, Trident). His recent focus includes deep application-network integration and scalable data plane verification for cloud/CERN-scale systems. Publication Trends: Recent articles emphasize SDN programmability (Maple, Trident), Internet-scale optimization (ALTO extensions), and high-speed verification (Flash). His works consistently bridge theory (game-theoretic models) with practical deployment (RFCs, CERN integration). Awards: ACM SIGMobile Test of Time Award (2022) ACM SIGCOMM NAI Best Paper Award (2022) NSF CAREER Award Facebook/Google/Microsoft Faculty Research Awards Students & Funding: Advised recent graduates including Jackie Dong and Lily Zhou. Secured grants from U.S. NSF, Army, U.K. MoD, Facebook, Google, and Microsoft. Labs: Directs projects in the Computer Systems Lab at Yale , collaborating with CERN, Microsoft Research, and Tsinghua/Peking Universities.

Siamak LayeghyView profile

Lecturer

• Cyber Security
• Artificial Intelligence (AI)/Machine Learning (ML)
• Network Security
• +4 more

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.

Aleksandar KuzmanovicView profile

Professor

• Computer Networking
• Internet Protocols
• Network Security
• +4 more

Aleksandar Kuzmanovic is a Professor in the Department of Computer Science at Northwestern University, leading the Northwestern Networks Group. He holds a Ph.D. from Rice University (2005) and B.S./M.S. degrees from the University of Belgrade (1996/1999). His research focuses on computer networking, including denial-of-service resiliency, protocol design, and Internet-scale systems. Notable contributions include the TCP-LP protocol adopted in Linux, Explicit Congestion Notification (ECN) as an Internet standard, and denial-of-service defenses for Akamai’s CDN. He has over 60 publications in top venues such as SIGCOMM, NSDI, and IMC. Education: Ph.D., Electrical and Computer Engineering, Rice University (2005) M.S., Electrical Engineering, University of Belgrade (1999) B.S., Electrical Engineering, University of Belgrade (1996) Research Interests: Network protocols and congestion control Security and resiliency in distributed systems CDN optimization and edge computing Privacy-preserving network architectures Internet measurement and standardization Professional Activities: Visiting Professor at University of Electronic Science and Technology of China Steering Committee Member of Measurement Lab (Measurement Lab) Co-founder of bloXroute Labs, Inc. Awards: NSF CAREER Award (2008) Microsoft Trustworthy Computing Award (2006) Searle Junior Fellowship (2006) Rice Presidential Fellowship (1999) Teaching: EECS 110: Introduction to Computer Programming EECS 397/497: IoT Networks Seminar

Peter SteenkisteView profile

Professor

• Distributed Systems
• Networking
• Security and Privacy
• +2 more

Peter Steenkiste is a Professor of Computer Science and Electrical and Computer Engineering at Carnegie Mellon University, with appointments in the School of Computer Science and the Computer Science Department. His research focuses on distributed systems, networking, and wireless technologies, including future Internet architectures like XIA and applications in 5G networks. Steenkiste holds a Ph.D. in Electrical Engineering from Stanford University. His work integrates theoretical and applied approaches, often involving prototype development and real-world testing. Research interests include: Future Internet Architecture (XIA) Wireless network optimization Dynamic spectrum access Network telemetry His publications consistently address network efficiency and innovation, with recent works exploring low-latency video delivery, 5G virtualization, and programmable network infrastructure. Awards include IEEE and ACM Fellowships, Andrew Heiskell Honorable Mention, and University of Cantabria Research Award. He has advised students like Shawn Chen and secured grants for projects including REACH (Robust Content Delivery) and FLOYD (Vehicular Edge Computing). He leads research groups at CMU's Gates and Hillman Centers and collaborates with industry partners like Telefonica and ETH Zurich.

Chengyi QuView profile

Assistant Professor

• Edge/Cloud Computing
• Cybersecurity
• Unmanned Aerial Systems
• +3 more

Dr. Chengyi Qu is an Assistant Professor in the Department of Computing & Software Engineering at Florida Gulf Coast University (FGCU), affiliated with the U.A. Whitaker College of Engineering. He joined FGCU in Fall 2023 after completing his Ph.D. in Computer Science at the University of Missouri - Columbia (2023) and a Bachelor's in Software Engineering from Northeastern University (China, 2016). Prior to FGCU, he worked as a research assistant at Argonne National Lab and the Department of Energy. Education: Ph.D. in Computer Science, University of Missouri - Columbia, 2023 Bachelor of Science in Software Engineering, Northeastern University, China, 2016 Research Interests: Dr. Qu focuses on Edge/Cloud Computing, Cybersecurity, Unmanned Aerial Systems (UAS), Computer Networking, Machine Learning, and Advanced Cyberinfrastructure. His work emphasizes practical applications such as disaster response systems, drone swarm coordination, and secure video analytics. He has developed platforms like FlyNet and Dronenet-sim to support edge-to-core computing workflows for UAV applications. Grants & Advising: No specific grants or student advisees are listed in available records. His research contributions are highlighted through collaborations with institutions like Argonne National Lab and AERPAW testbed initiatives. Labs & Teams: His research involves platforms like FlyNet (for drone-edge-cloud collaboration) and Dronenet-sim (a simulation framework for UAS networks). These tools address challenges in autonomous systems, environmental routing, and secure data transmission.

• Hardware Design for Network Devices
• Fault Tolerance
• Error Correction Codes
• +3 more

Salvatore Pontarelli is a Researcher at CNIT (Italian National Inter-University Consortium for Telecommunications), affiliated with the University of Rome Tor Vergata. He holds a Master's in Electronic Engineering from the University of Bologna (2000) and a PhD in Microelectronics and Telecommunications from the University of Rome Tor Vergata (2003). His work focuses on hardware design for network devices, fault tolerance, error correction codes, and high-speed packet processing. He contributed to EU-funded projects and received a CISCO Research Award (2011) for work on Bloom filters and Ternary CAM. Research interests include hash-based structures (e.g., Bloom filters, hash tables), stateful programmable data planes, and FPGA-based network intrusion detection systems. He led the Defect and Fault Tolerance Group (DFTGroup) under Prof. Adelio Salsano and has extensive experience in collaborative projects with academic and industry partners. Publications highlight innovations in flow monitoring, data plane optimization, and efficient memory management. His work often bridges theoretical algorithms (e.g., cuckoo hashing) with practical hardware implementations, emphasizing real-world applications in networking and telecommunications.

Lorenzo BraccialeView profile

Assistant Professor

• Security & Privacy
• Distributed Systems
• eHealth
• +7 more

Lorenzo Bracciale is an Assistant Professor in the Department of Electronic Engineering at the University of Rome "Tor Vergata". His academic journey began with a BSc in Telecommunication Engineering (2003), followed by an MEng (2006) and PhD (2010), all from the same institution. He has held significant research positions including Visiting Scholar at MIT's RLE (2011) and Trinity College Dublin (2015), and served as Unit Technical Coordinator for the H2020 EU project BPR4GDPR. PhD in Telecommunication Engineering and Microelectronics (2010) MEng in Telecommunication Engineering (2006) BSc in Telecommunication Engineering (2003) Bracciale's research spans security & privacy, distributed systems, and eHealth, with notable applications in wildlife conservation and medical technology. His work combines cryptographic techniques with machine learning to address challenges in digital health, IoT security, and blockchain applications. A distinctive aspect of his career is the Galápagos Pink Iguana conservation project, where he developed embedded systems for monitoring critically endangered species in remote environments. His publication record demonstrates a consistent focus on practical applications of theoretical concepts, with recent work emphasizing medical device security, blockchain privacy solutions, and IoT systems for both healthcare and wildlife conservation. The pattern shows increasing integration of machine learning with traditional security approaches, particularly in healthcare contexts. Bracciale actively contributes to the startup ecosystem through ventures like Sharigo (smart mobility solutions) and Anyway (medical practice management software). His speaking engagements cover critical topics at the intersection of AI, telemedicine, and digital healthcare infrastructure, reflecting his commitment to translating research into real-world impact. His laboratory work centers around developing secure, efficient systems for data collection and processing in constrained environments, with applications ranging from satellite communications to wildlife monitoring. Current projects include advanced cyber ranges for satellite security training and innovative approaches to medical data privacy.