Michael Feeley is an Associate Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Institute for Computing, Information and Cognitive Systems (ICICS). His research focuses on operating systems, distributed systems, and their applications in scalable file systems, cloud storage, and mobile computing. He leads projects such as the Unico file system, Parallax storage system, and Remus virtual machine replication framework. His research interests include peer-to-peer file systems, mobile ad hoc networks, interference mitigation in wireless networks, and system software for workstation clusters. He has supervised numerous graduate students, contributing to advancements in distributed systems and networking. His work often addresses challenges in resource management, fault tolerance, and performance optimization. Publications span topics like interference detection in WiFi networks, dynamic program analysis (Tralfamadore), and distributed storage solutions. Feeley teaches courses such as CPSC 213, emphasizing operating systems fundamentals. His office is located in CISR 393, with contact details available via email and phone.
Justine Sherry is the A. Nico Habermann Associate Professor of Computer Science at Carnegie Mellon University, affiliated with the College of Engineering. She holds a PhD (2016) and MS (2012) from UC Berkeley and a BS/BA (2010) from the University of Washington. Her research focuses on networked systems, including middleboxes, cloud computing, congestion control, and hardware acceleration (e.g., SmartNICs/FPGAs). Notable projects include Pigasus (open-source 100Gbps IDS), APLOMB (cloud-based middlebox scaling), and BlindBox (encrypted traffic scanning). Her academic roles include serving on the SIGCOMM CARES Committee, DARPA ISAT Study Group, and ACM CoNEXT Steering Committee. Awards include the Alfred P. Sloan Fellowship, VMware Systems Award, and IETF Applied Networking Prize. She advises over 15 students and collaborates with industry partners like Intel and VMware. Research highlights include radical shifts in datacenter architectures (SmartNIC compute control), fairness in congestion algorithms (BBR analysis), and database-proxy innovations (Tigger with eBPF). Her teaching emphasizes systems as science labs, integrating experimental design and hypothesis testing into projects. Education: PhD UC Berkeley (2016), MS UC Berkeley (2012), BS/BA University of Washington (2010) Labs/Teams: CyLab, SNAP Research Group, CMU Portugal Collaboration Grants: NSF, Intel, Google Faculty Awards
Associate Professor Jiwon Kim is a leading researcher in Transport Engineering at the University of Queensland's School of Civil Engineering. She serves as Director of Higher Degree by Research and was a DECRA Fellow from 2019-2022. Holding degrees from Korea University and Northwestern University, she specializes in AI/ML applications for transportation systems. PhD, Northwestern University BS & MS, Korea University Her research focuses on Artificial Intelligence and Machine Learning applications in transportation, including: Deep learning for traffic management Reinforcement learning in mixed traffic environments Multi-agent systems for urban mobility optimization Spatiotemporal trajectory analysis Recent publications demonstrate expertise in: Eco-driving strategies Traffic incident prediction Queue length estimation Crash risk modeling Scientific recognition includes: ARC DECRA Fellowship (2019-2022) She supervises doctoral students in: Transportation data analytics Autonomous vehicle systems Intelligent traffic management Current projects explore real-time traffic monitoring, synthetic mobility data generation, and connected vehicle technologies.
Bilal Farooq is an Associate Professor and Program Director for the Master of Engineering in Interdisciplinary Engineering (MEIE) at Toronto Metropolitan University, holding the Canada Research Chair in Disruptive Transportation Technologies and Services within the Department of Civil Engineering. His educational background includes a PhD from the University of Toronto (2011), MASc from Lahore University of Management Sciences (2004), and BSc from the University of Engineering and Technology (2001). Dr. Farooq's research pioneers disruptive transportation solutions through cyber-physical systems, AI/machine learning applications, behavioral modeling, and optimization techniques. His work specifically targets on-demand multimodal systems, sustainable urban transportation, urban air mobility, automated vehicles, and extended reality applications, addressing critical urban mobility challenges with human-centered approaches. Analysis of his recent publications reveals a strong trend toward quantum-enhanced computational methods, privacy-preserving federated learning frameworks, and sustainability-focused decarbonization strategies across transportation domains, with increasing emphasis on human factors and real-world implementation. Notable scientific awards include: Ontario Early Researcher Award (2018) Canada Research Chair (2017) MassMotion Academic Pedestrian Modelling Project of the Year (2016) Québec Early Researcher Award (2014) Dr. Farooq actively supervises graduate students and secures significant research funding through his Canada Research Chair position and Early Researcher Awards. He directs the Laboratory of Innovations in Transportation (LiTrans), which develops interdisciplinary solutions integrating mathematics, engineering, computer science, and economics to address emerging transportation challenges. LiTrans focuses on disruptive transportation technologies, complete streets design, cyber-physical systems, pedestrian dynamics, resilience, and climate change impacts, collaborating with industry and government partners to translate research into practical urban mobility innovations for smart cities worldwide.
Niels van Oort is an Associate Professor of Public Transport at Delft University of Technology (TU Delft), co-director of the Smart Public Transport Lab, and affiliated with the Department of Transport & Planning within the Faculty of Civil Engineering and Geosciences. His work focuses on public transport planning, data-driven design, and societal impacts including inclusiveness, land-use, and sustainability. He holds a dual role as a part-time consultant via his company Van Oort Mobility Consultancy since 2020. Education: MSc in Public Transport from TU Delft (2003), PhD in Service Reliability in Public Transport (2011). Professional experience includes roles at HTM (public transport operator), MIT (2009), and Goudappel Coffeng consultants (2007–2012). Transitioned to academia as a part-time assistant professor at TU Delft in 2012, becoming full-time in 2018. Research emphasizes network optimization, timetable reliability, micromobility, and first/last mile solutions. Key areas include pandemic impacts on transport behavior, digital inequality in mobility access, and sustainable transport policies. Supervises PhD students on integrated networks and passenger behavior. Teaching includes courses on public transport operations, advanced modelling, and transport networks. Active in academic publishing and conferences, with over 20 peer-reviewed articles since 2010. Engaged in interdisciplinary labs like SUM Lab (Smart Urban Mobility) and contributes to public discourse through media and consultancy. Labs/Teams: Smart Public Transport Lab (co-director), SUM Lab, and Delft Transport Modelling Group. Grants and projects focus on data-driven solutions for public transport efficiency and equity.
Mithuna S. Thottethodi is a Professor and Interim Associate Head of Teaching and Learning at the Elmore Family School of Electrical and Computer Engineering at Purdue University. He holds a B.Tech. from the Indian Institute of Technology, Kharagpur (1996), and a Ph.D. in Computer Science from Duke University (2002). His research focuses on computer architecture, interconnection networks, distributed systems, and security, with notable work on sparse tensor accelerators and processing-near-memory architectures. His work has been funded by the NSF, AT&T, and SK Hynix. Research interests include security, interconnection networks in multicores, storage performance optimization, and memory hierarchies. Notable contributions span hardware accelerators for machine learning, secure speculative execution, and datacenter network congestion control. He has advised over 20 graduate students, many of whom have joined top tech firms like Google, Microsoft, and Intel. Awards: NSF CAREER Award (2007) Wilfred Hesselberth Teaching Excellence Award (2021) Multiple Eta Kappa Nu Outstanding Professor Awards Teaching includes undergraduate courses like EE 437 (Computer Design) and graduate courses such as ECE 666 (Advanced Computer Architecture). He also advises VIP and EPICS student teams.
Vasileios Mavroeidis is an Associate Professor in Digital Security at the Department of Informatics, University of Oslo (UiO). He specializes in security automation and orchestration (SOAR) and cyber threat intelligence (CTI) representation, reasoning, and sharing. He actively contributes to European cybersecurity initiatives, including Horizon Europe, Connecting Europe Facility, and the European Defense Fund, and serves as the primary representative of UiO at the OASIS standards development organization since 2017. Role : Associate Professor Department : Digital Security (SEC), University of Oslo Standardization Involvement : Chairman of OASIS Threat Actor Context (TAC), Leading Contributor to CACAO and OpenC2 Projects : Concordia, CyberHunt, JCOP (Joint Cyber Security Operations Platform), Oslo Analytics, P4C (Partnership for Cybersecurity) His research focuses on cyber threat intelligence (CTI), exploring its taxonomies, sharing standards (STIX, CACAO), and ontologies, with contributions to the European Union Agency for Cybersecurity (ENISA) Cybersecurity Playbooks task force. He analyzes quantum computing's impact on cryptography, develops automated threat detection systems using machine learning (e.g., recurrent neural networks for malware-generated domains), and investigates privacy issues under GDPR. Recent publications highlight his work on LLMs for code stylometry , neurosymbolic AI for cyber defense , and knowledge management systems for CACAO playbooks . His articles span 2017–2025, emphasizing formal verification, biometric data protection, and incident response automation. He collaborates with organizations like OASIS (Threat Actor Context, CACAO, OpenC2) and FIRST (Traffic Light Protocol), and participates in European research projects. His work includes standardization efforts in cybersecurity playbooks , MITRE ATT&CK representation, and quantum-resistant cryptography .
Cathy Wu is an Associate Professor at MIT, with affiliations in the Laboratory for Information and Decision Systems (LIDS), Department of Civil and Environmental Engineering (CEE), and Institute for Data, Systems, and Society (IDSS). Her research group focuses on integrating machine learning with model-based optimization to solve complex problems in transportation systems and cyber-physical systems. Academic Leadership: Class of 1954 Career Development Associate Professor (MIT) Research Grants: NSF CAREER Award, Amazon Robotics, Mathworks, MIT Mobility Initiative, US DOT, Microsoft Research, Cintra, Symbotic Research Interests : Wu's work bridges AI and engineering challenges in transportation. Key areas include: Hybrid ML/Model-based Optimization (large neighborhood search, branch-and-cut) Sustainable Mobility (Project Greenwave, eco-driving) Multi-Agent Coordination (warehouse automation, cooperative driving) Cyber-Professional Systems (generalization in RL, transfer learning) Recent work demonstrates significant advances in eco-driving (11-22% emissions reduction), large-scale multi-agent path finding (1000+ agents), and foundational RL methods for traffic control. Her group has produced 15+ major publications since 2015, with notable media coverage in Science, Wired, and NewScientist. Selected Scientific Awards NSF CAREER Award (2023) Ole Madsen Mentoring Award (2025) IEEE ITSS WiE/YP Fellowship (2024) Harold L. Hazen Teaching Award (2022) Her lab has advised 12+ graduate students and postdocs, including: Vindula Jayawardana (PhD '24, now at Anthropic) Sirui Li (PhD '25, now at Microsoft Research) Yining Ma (Postdoc, active researcher) Zhongxia Yan (PhD '24, now at Anthropic)
Dr. Srinivas Peeta is the Frederick R. Dickerson Chair and Professor in Transportation Systems Engineering at the Georgia Institute of Technology’s School of Civil and Environmental Engineering. He previously held the Jack and Kay Hockema Professorship at Purdue University, where he served for 24 years. He is also the Associate Director of the USDOT Center for Connected and Automated Transportation. Education: B. Tech. from IIT Madras, M.S. from Caltech, and Ph.D. from UT Austin, all in Civil Engineering. His research focuses on large-scale transportation systems, infrastructure interdependencies, and connected/automated vehicles. He has authored over 345 publications and secured over $48M in research funding. Research Interests: Dynamic traffic networks and driver behavior modeling Information-based navigation in vehicular systems Systems perspectives for complex adaptive infrastructure Autonomous vehicle integration and human-vehicle interactions Key Achievements: Developed DYNASMART software for traffic operations Recipient of NSF CAREER Award (1997) and ASCE Walter Huber Prize (2009) Directed NEXTRANS UTC and pioneered USDOT’s real-time route guidance systems Grants & Outreach: Secured funding from USDOT, NSF, FHWA, and international agencies Initiated NEXTRANS internship programs and K-12 outreach Labs/Teams: Active in Georgia Tech’s ACT Lab, focusing on autonomous transportation systems and human-vehicle-environment interactions.
Bert DE REYCK is the Dean of the Lee Kong Chian School of Business at Singapore Management University (SMU) and holds the rank of Professor of Operations Management. He holds a PhD in Business Economics from the University of Leuven, Belgium, along with an MSc in Business Information Systems and a BSc in Business Engineering from the same institution. His career includes roles as Founding Director and Professor at UCL School of Management (2015–2021), Professor and Head of Department at University College London (2009–2015), and various visiting professorships at institutions like London Business School and the University of Ghent. He has held academic positions since 1998, including Assistant and Associate Professor roles at prestigious institutions such as the London Business School and Rotterdam School of Management. DE REYCK’s research focuses on Operations Management, Business Analytics, and Project Management, with notable contributions to AI applications, transportation systems, and strategic sourcing. His work bridges theoretical rigor and practical impact, addressing challenges in project valuation, contract design, and operations optimization. He has received numerous accolades, including INFORMS’ AAS Best Paper Award (2022), multiple Daniel H. Wagner Prize recognitions, and teaching awards from London Business School and UCL. His research has been supported by grants from organizations like Eurocontrol, NHS, and private sector firms such as Vungle and Noble Group. DE REYCK has led significant industry collaborations, including projects on airport operations optimization, pharmaceutical R&D valuation, and AI-driven advertising strategies. His advisory work spans sectors like aviation, healthcare, and transportation, emphasizing real-world problem-solving through analytics and decision science.
Karl Henrik Johansson is a Professor at the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology in Stockholm, Sweden, where he also serves as the Founding Director of Digital Futures. He is a Fellow of both IEEE and the Royal Swedish Academy of Engineering Sciences, and has held leadership positions including Immediate Past President of the European Control Association and IEEE Control Systems Society Vice President Diversity, Outreach & Development. Dr. Johansson earned his MSc in Electrical Engineering and PhD in Automatic Control from Lund University. His academic journey includes visiting positions at prestigious institutions such as UC Berkeley, Caltech, and NTU. His research focuses on networked control systems and cyber-physical systems with applications in transportation, energy, and automation networks. His work investigates fundamental challenges in connecting physical world systems through communication networks, exploring how wireless communication and sensor technology can enhance system robustness, reliability, energy efficiency, and safety. Current research directions include security of cyber-physical systems, distributed optimization, multi-agent systems, and applications to intelligent transportation and energy networks. Analysis of his recent publications reveals a strong focus on distributed optimization algorithms, secure networked control, multi-agent systems, and applications to transportation and energy networks. His work increasingly integrates machine learning techniques with traditional control theory, addressing challenges in privacy-preserving distributed computation, resilient state estimation, and resource allocation in complex networked systems. IEEE Control Systems Society Hendrik W. Bode Lecture Prize (2024) Swedish Research Council Distinguished Professor (2018-2027) Wallenberg Scholar (2009-2026) IFAC Young Author Prize IEEE CSS Distinguished Lecturer (2017-2019) IFAC Outstanding Service Award IEEE Fellow Dr. Johansson has supervised over 100 postdocs and PhD students, with many now holding prominent positions at institutions worldwide. His research has been supported by significant grants including the Swedish Research Council Distinguished Professor Grant (2018-2027), multiple Wallenberg Foundation grants, and numerous EU and national research projects. He has directed major research centers including ACCESS Linnaeus Centre (2009-2016) and Strategic Research Area ICT TNG (2013-2020). His research group operates within the Digital Futures initiative and maintains strong connections with industry partners through projects like the Integrated Transport Research Lab (supported by Scania and Ericsson) and Smart Mobility Lab. The group actively collaborates with international institutions and participates in major EU-funded projects addressing challenges in cyber-physical systems, transportation, and energy networks.
Calin Belta is the Brendan Iribe Endowed Professor of Electrical and Computer Engineering and Computer Science at the University of Maryland, College Park. He is affiliated with the Institute of Systems Research (ISR) and the Maryland Robotics Center (MRC), and holds a Research Professor position at Boston University's College of Engineering. His work bridges control theory, formal methods, and machine learning to ensure safety in cyber-physical and data-driven systems, with applications in robotics, autonomous driving, and systems biology. Research Interests: Focus on dynamics and control theory, formal methods for verification and control synthesis, robotics, autonomous systems, and synthetic biology. Recent projects include PROGENIC (collaborating with MIT, UChicago, and UDelaware) and safety-critical control for heterogeneous robotic teams. Key Achievements: General Chair of the 2025 MRC Symposium, recipient of AFOSR Young Investigator Award (2008), NSF CAREER Award (2005), and IEEE Fellow. His work on formal methods for autonomous systems has led to impactful tools for safety assurance in robotics and AI. Grants: NSF EFRI PROGENIC grant (2024), multiple industry partnerships. Advising: Mentored students like Wenliang Liu (PhD 2024, now at Amazon), and collaborator Marius Kloetzer (shared HSCC Test of Time Award 2025). Labs/Teams: Maryland Robotics Center, Institute for Systems Research, and Boston University collaborations.
Dr. Angelos D. Keromytis is the John H. Weitnauer, Jr. Endowed Chair Professor and Georgia Research Alliance (GRA) Eminent Scholar at the School of Electrical and Computer Engineering , Georgia Institute of Technology . He is a globally recognized leader in systems and network security and applied cryptography , with over 250 publications and 67 issued US patents. He is an elected Fellow of both the IEEE and ACM, and previously served as a Program Manager at DARPA and Program Director at NSF. Education: Ph.D. in Computer Science, University of Pennsylvania (2001) M.Sc. in Computer Science, University of Pennsylvania (1997) B.Sc. in Computer Science, University of Crete, Greece (1996) Research Interests: Dr. Keromytis's research spans a broad spectrum of cybersecurity topics, including: Systems and Network Security : He has led foundational work in secure systems design, intrusion detection, and network anomaly detection. Applied Cryptography : His work includes cryptographic protocols, secure communications, and privacy-preserving systems. Hardware and Side-Channel Security : He has pioneered techniques for detecting hardware Trojans using electromagnetic side-channels. Cloud and IoT Security : He has developed novel approaches to securing cloud services and IoT devices. Software Security : His work includes defenses against malware, return-oriented programming (ROP), and automated software patching. Scientific Awards: John H. Weitnauer, Jr. Endowed Chair Georgia Research Alliance (GRA) Eminent Scholar IEEE Fellow (2018) ACM Fellow (2017) ACM Distinguished Scientist (2012) DARPA Superior Public Service Medal DARPA Results Matter Award Advising and Grants: Dr. Keromytis has advised over 30 Ph.D. students and numerous postdocs. He has secured over $35M in research funding from agencies like DARPA, NSF, IARPA, ONR, and AFRL. His recent grants include: DARPA SMOKE : $22.7M for "Antikythera" cybersecurity framework NSF SaTC : $1.2M for mobile network anti-tracking architecture DARPA CHASE : $1.7M for network abuse behavioral engine DARPA OPS-5G : $7.3M for large-scale adversary defense ONR : $4.4M for dormant hardware Trojan detection Labs and Teams: He co-founded and co-directs the Center for Cyber Operations Enquiry and Unconventional Sensing (COEUS) at Georgia Tech. Previously, he founded and directed the Network Security Lab (NSL) at Columbia University, which produced foundational research in network security, intrusion detection, and software protection.
Roles & Affiliations: Professor of Mathematics at Cornell University, Department of Mathematics. Member of graduate programs in Mathematics, Applied Mathematics, Operations Research and Information Engineering, Theoretical & Applied Mechanics, and Computational Science & Engineering. Co-organizer of the Scientific Computing and Numerics (SCAN) Seminar and founder of the Cornell Mathematical Contest in Modeling. Education: Ph.D. in Applied Mathematics from University of California, Berkeley (2001); B.A. in Applied Mathematics (with high honors) from University of California, Berkeley (1995). Research Interests: Focuses on numerical analysis, nonlinear PDEs, control theory, and dynamical systems. Explores applications in optimal control, front propagation, anisotropy, bifurcation theory, and mathematical biology. Develops methods for invariant manifold approximation, Eikonal equations, and stochastic systems. Recent work includes studies on cancer therapy optimization, surveillance evasion, and pedestrian flow modeling. Teaching: Teaches courses like Introduction to Partial Differential Equations, Differential Games, Numerical Analysis, and Mathematical Modeling. Recent courses include Math 4280 (Spring 2025) and Math 3610 (Fall 2024). Labs/Teams: Active in interdisciplinary collaborations, including work on computational biology, robotics path planning, and mathematical contest problem-solving initiatives.
Scott Moura is a Professor in Civil and Environmental Engineering at the University of California, Berkeley, holding the Clare and Hsieh Wen Shen Distinguished Professorship. He serves as the Acting Director of the Institute of Transportation Studies (ITS) and directs the Energy, Controls, and Applications Lab (eCAL). Previously, he was Faculty Director of the California Program for Advanced Transportation Technology (PATH) starting January 2022, with recent news (June 2025) confirming new leadership roles at both ITS and PATH. Education: B.S. in Mechanical Engineering, University of California, Berkeley, 2006 M.S.E. in Mechanical Engineering, University of Michigan, Ann Arbor, 2008 Ph.D. in Mechanical Engineering, University of Michigan, Ann Arbor, 2011 Postdoctoral Fellow, University of California, San Diego, Cymer Center for Control Systems and Dynamics, 2013 Visiting Researcher, MINES ParisTech, Centre Automatique et Systèmes, Paris, 2013 Moura's research spans multi-scale energy systems: battery modeling and control at component level, electrified/connected vehicles at system level, and distributed energy resources/smart grid integration at grid scale. His work pioneers real-time battery health estimation, fast-charging algorithms, and vehicle-grid integration to enhance capacity, safety, and efficiency while minimizing degradation. Key methodological contributions include PDE control theory, adaptive control frameworks, and machine learning applications for energy storage systems. Scientific Awards: ASME Division of Control Systems Outstanding Young Investigator Award National Science Foundation CAREER Award NSF Graduate Research Fellowship UC Presidential Postdoctoral Fellowship University of Michigan Distinguished ProQuest Dissertation Honorable Mention University of Michigan Rackham Merit Fellowship College of Engineering Distinguished Leadership Award ITS Faculty of the Year Award (2020) As eCAL Lab Director, Moura mentors undergraduate/graduate students, postdocs, and visiting scholars in developing battery monitoring software and control systems. His research attracts significant funding including a $10M USDOT grant for rural autonomous vehicle freight (2025) and the I-40 Corridor SMART Grant (2024), with industry partnerships focused on practical deployment of energy management solutions. Current projects address EV longevity, HOV lane optimization via AI traffic signals, and climate impact assessments for California infrastructure. eCAL Lab operates at the forefront of energy systems research, combining theoretical control frameworks with experimental validation. The lab's work on battery degradation models directly informs industry practices, while its vehicle-grid integration research supports California's clean energy transition. Recent initiatives include KTH Royal Institute of Technology student exchanges and Bay Area climate impact assessments.
