Professor Steven J. Murdoch is a leading figure in cybersecurity and privacy-enhancing technologies at the Department of Computer Science , University College London . His work bridges computer science and law, focusing on payment system security, electronic evidence reliability, and dispute resolution mechanisms. Head of Information Security Research Group at UCL (2022–present) Director at Open Rights Group (2022–present) Research spans payment security , privacy protocols , and legal implications of computer evidence . Key contributions include analyzing EMV protocol flaws, designing secure authentication mechanisms, and improving Tor's anonymity. Publications cover privacy-preserving federated learning , time-lock puzzles , and malware ecosystem analysis Awards include Fellowships from the Institution of Engineering & Technology and British Computer Society , and a Royal Society University Research Fellowship . Teaches COMP0055 Computer Security II and COMP0061 Privacy Enhancing Technologies at UCL
Professor John Muellbauer is a Senior Research Fellow at Nuffield College and Professor of Economics at the University of Oxford. He co-directs the Macroeconomics and Finance Programme at the Institute for New Economic Thinking (INET) Oxford Martin School. His work bridges household economics, housing markets, and finance-real economy interactions, with a focus on credit channels and monetary transmission mechanisms. Education: B.A. from Cambridge University, Ph.D. from UC Berkeley Former roles: Professor at Birkbeck College (London), Lecturer at Warwick University His research emphasizes systems approaches to consumption, house prices, and debt, critiquing conventional central bank models. Recent work includes international house price cycles (Journal of Economic Literature, 2021) and ECB policy model critiques (2022). He collaborates with central banks globally and contributes to macroprudential policy frameworks. Scientific awards include the 2014 Kendrick Prize for his work on credit and housing markets. He is a Fellow of the British Academy, Econometric Society, and European Economic Association, and a CEPR Research Fellow. Policy engagement spans HM Treasury, OECD, Swedish Prudential Authority, and the Resolution Foundation. He advocates for a Green Land Value Tax to address UK housing challenges and frequently contributes to VoxEU debates.
Dr. Todd D. Murphey is a Professor of Mechanical Engineering at Northwestern University's Robert R. McCormick School of Engineering and Applied Science. He serves as Director of Transformative Research and Director of the Master of Science in Robotics Program at Northwestern, leading initiatives in computational dynamics, control systems, and robotics. His work bridges engineering, neuroscience, and biomedical applications, with a focus on developing systems that interact effectively with humans and their environments. Dr. Murphey received his Ph.D. in Control and Dynamical Systems from the California Institute of Technology in 2002, with a thesis titled "Control of Multiple Model Systems." Prior to that, he earned a B.S. in Mathematics, summa cum laude, from the University of Arizona in 1997. Dr. Murphey's research centers on computational methods in dynamics and control, with applications spanning neuroscience, health science, robotics, and automation. His work in the Interactive & Emergent Autonomy Lab focuses on computational models of embedded control, biomechanical simulation, dynamic exploration, and hybrid control. The group develops mathematical approaches that lead to orders of magnitude improvement in computational efficiency for real-time implementation. Key application areas include assistive exoskeleton control, stabilization of energy networks, bio-inspired active sensing, entertainment robots, robotic exploration, and software-enabled stroke rehabilitation. Analysis of Dr. Murphey's recent publications reveals a strong emphasis on human-swarm interaction, algorithmic matter, and control of cyber-physical systems in uncertain environments. His work increasingly integrates information theory with physical systems, exploring how both autonomous and biological systems interact with environments to learn and improve behaviors. Recent trends show growing applications in rehabilitation technology, with particular focus on human-machine interaction in biomedical devices and embodied intelligence. Dr. Murphey has received numerous honors and awards for his contributions to robotics and engineering: Named Director of Transformative Research at Northwestern University (2025) Appointed IEEE Robotics and Automation Society Vice President of Publication Activities (2022) Co-recipient of Best Paper Award for IEEE Transactions on Robotics (2020) Appointed to Air Force Scientific Advisory Board (2019) Recipient of ABB Best Student Paper Award for CPL-SLAM research (2019) Cole-Higgins Award from Northwestern Engineering (2015) Dr. Murphey has supervised numerous graduate students including Taosha Fan, Giorgos Mamakoukas, and Ian Abraham, with research spanning robotic exploration using electrosense and mechanical contact, human-in-the-loop control, and shared control for rehabilitation devices. His lab has secured significant funding from the National Science Foundation, DARPA, and industry partners including Siemens and Ekso Bionics, supporting research in algorithmic matter, emergent behavior, and human-swarm collaboration. The Interactive & Emergent Autonomy Lab, led by Dr. Murphey, investigates how both autonomous systems and biological systems interact with their environments to learn and improve behaviors. Current projects include active learning and data-driven control, active perception in human-swarm collaboration, algorithmic matter and emergent computation, control for nonlinear and hybrid systems, cyber physical systems in uncertain environments, harmonious navigation in human crowds, information maximizing clinical diagnostics, reactive learning in underwater exploration, robot-assisted rehabilitation, and software-enabled biomedical devices. The lab collaborates with researchers across Northwestern and institutions including Georgia Tech, MIT, and industry partners.
Mahnoosh Alizadeh is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB), affiliated with the Institute for Energy Efficiency and the Center for Control, Dynamical Systems and Computation (CCDC). She directs the Smart Infrastructure Systems laboratory and focuses on scalable control frameworks, data analytics, and market mechanisms for sustainable cyber-physical systems in smart grids and electric transportation. PhD in Electrical and Computer Engineering from UC Davis (2014) Recipient of the National Science Foundation CAREER award (2019) Associate Editor for IEEE Transactions on Control of Network Systems and IEEE Open Journal of Control Systems Her research spans theoretical work in networks, optimization, and AI, with applications in smart grids , electric transportation , and resilient infrastructure . She has contributed to safe optimization algorithms, decentralized learning, and game-theoretic approaches in resource allocation. Recent publications highlight advancements in safe optimization (safe linear bandits, conservative linear bandits), decentralized learning (robust federated learning), game theory (General Lotto games, resource allocation), and smart charging (mobility-aware EV scheduling). These works emphasize real-time decision-making under constraints, security, and robustness in cyber-physical systems. NSF Early CAREER Award Northrop Grumman Excellence in Teaching Award Her research group includes PhD students Spencer Hutchinson, Arghavan Zibaei, Nanfei Jiang, and Sajjad Ghiasvand, with alumni placed at institutions like Apple, Toyota, and the University of Colorado.
Ryan P. Huang is an Associate Professor in the Computer Science & Engineering department at the University of Michigan, College of Engineering, where he leads the Order Lab. Previously, he was an Assistant Professor at Johns Hopkins CS department from 2017 to 2022. His research focuses on computer systems, particularly operating systems and distributed systems, with emphasis on reliability, efficiency, and defensibility across cloud data centers and mobile devices. Dr. Huang's research interests center on pushing the boundaries of cloud systems availability and observability. His work addresses critical challenges such as gray failures and partial failures in distributed systems, developing principled techniques for failure detection and localization. His research spans multiple thrusts including Panorama for enhanced observability, Watchdog for runtime checking, OmegaGen for partial failure localization, and Narya for predictive failure mitigation. He also investigates energy-efficient mobile systems and system misconfiguration prevention. His recent publications demonstrate a strong trend toward addressing silent failures in distributed systems, with multiple papers accepted to top-tier conferences including SOSP and OSDI in 2025. His work bridges theoretical principles with practical system implementations, focusing on real-world challenges in cloud infrastructure and distributed computing environments. NSF CAREER award recipient Multiple Best Paper Awards (OmegaGen, Argus, LeaseOS) CRA Outstanding Undergraduate Researcher Award honorable mentions for advisees Dennis Ritchie doctoral dissertation award honorable mention Dr. Huang actively mentors PhD students including Yuzhuo Jing, Wanning He, Yuxuan Jiang, and others. His lab has produced graduates who have gone on to faculty positions at institutions like University of Virginia and Boston University. He serves on program committees for major systems conferences including SOSP, OSDI, and NSDI, contributing significantly to the academic community. The Order Lab maintains active research collaborations and regularly publishes in top-tier venues, with multiple papers accepted to SOSP and OSDI in 2025.
Leid Zejnilovic is an Assistant Professor at Nova School of Business and Economics (Nova SBE), where he co-founded the Data Science Knowledge Center and serves as Academic Director, and co-founded the Open and User Innovation Knowledge Center as Scientific Deputy Director. He also co-founded the Patient Innovation platform, enabling patients and caregivers to share self-made healthcare solutions. With a double PhD from Carnegie Mellon University and Católica-Lisbon School of Business and Economics, his career spans over 20 years of international consulting, academic entrepreneurship, and teaching at institutions like Imperial College Business School and Ludwig Boltzmann Institute. PhD in Strategy, Entrepreneurship and Technological Change (Carnegie Mellon University / Catholic University of Portugal, 2014) Master in Engineering and Public Policy (Carnegie Mellon University, 2012) Master in Information Technology (Dzemal Bijedic University, 2007) Bachelor in Telecommunications (University of Sarajevo, 2002) His research focuses on Technology and Innovation Management, Human-Computer Interaction, and data-driven solutions across healthcare, tourism, and education. He has published extensively in journals like California Management Review , PLoS ONE , and Marine Policy , with recent work analyzing big data in tourism, machine learning for oral health, and pandemic impacts on fisheries. As an Associate Editor for Data & Policy Journal , his contributions bridge academic research and real-world applications. Co-founding the Data Science for Social Good Foundation and leading over 100 talks in industry and academia, Zejnilovic's career emphasizes translating innovation into social and economic impact through platforms, policy, and education.
Dr. Jayshri Sabarinathan is an Associate Professor in the Department of Electrical and Computer Engineering at Western University's Faculty of Engineering, and a Faculty Member with the Institute for Earth and Space Exploration. She joined Western University in Fall 2003, received the NSERC University Faculty Award in 2004, and was promoted to Associate Professor in 2010. She previously served as Associate Director of Training (2019-2022) with the Institute for Earth and Space Exploration. Education: Ph.D. in Electrical Engineering, University of Michigan, Ann Arbor (2003) M.S.E. in Electrical Engineering, University of Michigan, Ann Arbor (1999) B.S.E. in Electrical Engineering and Engineering Physics, University of Michigan, Ann Arbor (1997) Her research focuses on developing novel nano-photonic sensors and miniature remote sensing instrumentation, with expertise spanning photonic crystals, plasmonic sensors, and CubeSat technology. Her work integrates nanofabrication techniques with practical applications in precision agriculture, geology, and space exploration. She has extensive experience with nanofabrication facilities including the University of Michigan Solid State Electronics Laboratory and Western's nanofabrication facility. Analysis of her 15 most recent publications reveals strong emphasis on plasmonic sensing technologies, photonic crystal applications, and nanoscale optical phenomena. Her research consistently bridges fundamental photonics with practical sensor development, particularly for environmental monitoring and space applications. The publications demonstrate progression from basic photonic crystal research to applied space instrumentation. Scientific Awards: NSERC University Faculty Award (2004) US Patent 8839683 for Photonic Crystal Pressure Sensors (2014) OSA (Optica) Senior Member Co-founder of LightSail Ltd space startup Dr. Sabarinathan actively mentors graduate students through her Nanophotonic Sensors Engineering (NPSE) and Remote Sensing Instrumentation (RSI) research groups. She has secured significant funding including Canadian Space Agency projects, notably as PI for the Western University-Nunavut Arctic College CubeSat Project Ukpik-1. Her research has resulted in three patents for micro photonic-sensors and multi-spectral camera innovations. Her labs focus on two primary research thrusts: the NPSE group developing hybrid photonics micro/nano-sensors including IR/THz plasmonic sensors and bio-photonic sensors, and the RSI group creating multispectral camera imagers for UAV/mobile robots with XRD instrumentation miniaturization for Mars rovers.
Ada Gavrilovska is a Professor at Georgia Tech's School of Computer Science under the College of Computing. Her work focuses on systems software for emerging technologies, including hybrid memory systems, edge computing, and cloud infrastructure. She leads projects in the PRISM Center and ADA Center , with funding from NSF, DoE, SRC, and industry leaders like Cisco and VMware. Education: PhD in Computer Science, Georgia Tech (2004) Research Interests: Designing systems for new hardware and applications, including edge computing, heterogeneous memory management, and LEO satellite platforms. Her work bridges low-level OS mechanisms with high-level distributed systems challenges. Recent Publications highlight trends in LEO satellite resource scheduling Edge-based ML preprocessing Hybrid memory OS abstractions Disaggregated graph analytics Compiler-assisted performance optimization Scientific Awards: Best paper, NFV World Congress (2016) Spotlight paper, IEEE Transactions on Cloud Computing (2014) ISCA-50 25-year retrospective (2023) Advising & Grants: Ada has mentored over 15 PhD students and 10 MS students, with research supported by NSF, DoE, SRC, and industry grants. She serves as PI in the SRC/DARPA PRISM Center.
Luigi De Russis is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) within Politecnico di Torino . He serves as Deputy Director of DAUIN and is a member of the PIC4SeR (PoliTO Interdepartmental Centre for Service Robotics). His academic roles focus on Human-Computer Interaction , Digital Wellbeing , and Artificial Intelligence applications. Research interests: Accessibility, Conversational agents, Developers tools, Digital wellbeing, Intelligent user interfaces, Internet of Things Teaching: Courses in Human-AI Interaction, Web Applications, and Computer Vision at undergraduate and graduate levels Leadership: Vice-President of ACM SIGCHI (2024-), Executive Committee member (2021-2024) His research explores: Digital wellbeing education for teens through gamified systems AI-assisted UI design tools Smart home interaction via multimodal commands End-user development for self-control technologies Integration of accessibility guidelines in AI systems Recent article trends show a focus on generative AI for interface design, attention-capturing heuristics, and educational systems for step-by-step learning. He has received the Most Influential Paper Award (2024) and Best Late Breaking Results Award (2025) from ACM SIGCHI. Scientific awards: Award of Scientific Excellence, University of Salamanca (2011) Most Influential Paper Award, International Conference on Intelligent Environments (2024) Best Late Breaking Results Paper Award, ACM SIGCHI Symposium (2025) As advisor, he supervises PhD students in Artificial Intelligence and Computer Engineering , focusing on topics like user-centered AI, generative models, and digital self-control interfaces. He leads the ELITE research group and contributes to commercial projects including TEIA (AI tourism) and MAPP (interactive museums).
Adrienne Wood is an Assistant Professor in the Department of Psychology at the University of Virginia. Her research lab, Emotion and Behavior Lab, investigates social connections through multimodal approaches including mobile sensing, social network analysis, and behavioral economics. She holds a Ph.D. from the University of Wisconsin-Madison and a B.A. from Colorado College. Wood's research examines how people form and maintain social ties across cultural divides, addressing loneliness through analysis of nonverbal behavior, emotion contagion, and network dynamics. Her work emphasizes: Behavioral mechanisms of connection (laughter, synchrony) Social network formation in diverse communities Cross-cultural relationship building She employs innovative methodologies like acoustic analysis and agent-based modeling. Her recent publications (2023-2025) demonstrate strong focus on: Emotional communication in evolving relationships Cultural influences on social competence Crisis impacts on behavior Nonverbal synchronization mechanisms Longitudinal analysis of social interactions No scientific awards are mentioned in the source material. Wood leads the Emotion and Behavior Lab, studying verbal/nonverbal behaviors underlying social bonds. Her team explores: Real-world interaction patterns Diverse community integration Computational social science approaches
Garreth Tigwell is an Assistant Professor in the School of Information at RIT, co-directing the CAIR Lab with Dr. Kristen Shinohara. His research focuses on accessibility in digital design, particularly for disabled users, addressing challenges faced by novice and expert creators. His work spans topics like accessible prototyping tools, cultural considerations in design, and inclusive mixed reality interfaces. Education: BSc in Psychology, University of Dundee, 2012 MSc (Distinction) in User Experience Engineering, University of Dundee, 2014 PhD in Human-Computer Interaction (HCI), University of Dundee, 2019 Research Interests: Designing accessible digital systems for blind, deaf, and low-vision users Adaptable user interfaces for mixed reality and textured surfaces Cultural dimensions in accessibility pedagogy Authentication methods for visually impaired users Articles Trends: Recent work emphasizes AR/VR accessibility, cultural design frameworks, and haptic authentication. His studies often involve collaborations with global researchers and industry partners. Awards: Best Paper (MobileHCI 2022) CHI Honorable Mention (2023, 2024) NSF-funded research projects Advising & Grants: Active in mentoring graduate students and securing grants. His lab focuses on born-accessible AI tools and inclusive design education. Teaches courses like HCI Research Methods and Future Interactions. Labs/Teams: Co-leads the CAIR Lab, which develops technologies to bridge accessibility gaps in digital design and prototyping.
Dr. Zhibao Mian is a Lecturer in the School of Computer Science at the University of Hull, UK, and previously held an Associate Professor position at Northwest Normal University. He specializes in trustworthy AI, machine learning, and intelligent maintenance systems. His research integrates AI with IoT, blockchain, and digital twins in Industry 4.0/5.0 contexts. He leads projects on predictive maintenance for offshore wind turbines and AI-driven sustainable energy solutions. Dr. Mian holds a PhD from the University of Hull and an MSc from the University of Nottingham. Research interests include AI ethics, model-based safety analysis, and RCM. He has secured grants such as the CPHC-funded study on AI in software education and oversees multiple PhD scholarships. Notable roles include Editorial Board member of the American Journal of Artificial Intelligence and Reviewer for high-impact journals/conferences like JSS and IEEE. He is a Senior Fellow of the Higher Education Academy and received the Royal Academy of Engineering's 2024 Exceptional Talent designation. Recent publications (2023-2025) focus on ordinal networks, outlier detection, Belt and Road trade analysis, and carbon emissions modeling. He actively advises PhD students on topics like UAV-based anomaly detection and predictive maintenance frameworks.
Niels Agatz is a Full Professor of Last-mile Supply Chain Analytics at the Rotterdam School of Management (RSM), Erasmus University, and Scientific Director of TKI Dinalog, a national research funding institute. His work bridges academia and industry, focusing on sustainable urban logistics, shared mobility, and online retailing analytics. He holds a PhD in Logistics from RSM and an MSc in Industrial Engineering from Eindhoven University of Technology. Research interests include optimizing last-mile supply chains through technology-driven solutions, with emphasis on sustainability and operational efficiency. Notable contributions include frameworks for demand management and transportation-enabled services. His work aligns with UN Sustainable Development Goals related to responsible consumption and climate action. Editorial roles include Area Editor for Transportation Science . Awards include the INFORMS TSL Stella Dafermos Achievement Award (2022) and NWO Rubicon Grant. Collaborations span institutions like Georgia Tech and the Pontifical Catholic University of Chile. Recent publications address home delivery systems, sustainable supply chains, and pickup/delivery optimization. Labs/Teams: Directs TKI Dinalog, collaborates with industry partners to translate research into practical logistics solutions.
John R. Long is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, specializing in high-speed wireline and high-frequency circuit design for integrated wireless communications systems. His work bridges theoretical innovation with practical applications in mobile transceiver technologies. His academic credentials include: Doctorate in Electronics from Carleton University, Canada (1996) Master of Engineering in Electronics from Carleton University, Canada (1992) Bachelor of Science in Electrical Engineering from the University of Calgary, Canada (1984) Dr. Long's research concentrates on energy-efficient circuit architectures for next-generation wireless systems. His expertise spans millimeter-wave frequency doublers, low-voltage RF design, and wideband transceivers, addressing critical challenges in mobile communications bandwidth and power consumption. Recent work demonstrates significant advancements in DC-100 GHz circuit operation and autonomous system integration. Publications from 2015-2016 reveal a consistent focus on pushing the boundaries of solid-state circuit performance, particularly in high-frequency analog design and system-on-chip implementations for wireless applications. No scientific awards were documented in the provided materials. As an active educator, Dr. Long mentors graduate students and teaches core courses including Radio Frequency Integrated Devices (ECE 432) and Integrated Analog Electronics (ECE 444), emphasizing hands-on circuit design principles. His leadership extends to administrative roles, having previously chaired the Electronics Research Laboratory at Delft University of Technology.
Devansh Saxena is an Assistant Professor at the University of Wisconsin-Madison, holding dual affiliations in the Information School and the School of Computer, Data & Information Sciences. His research focuses on sociotechnical practices of decision-making in high-stakes domains, particularly examining the social impacts of AI in government agencies, community-based organizations, and public health. Saxena employs mixed-methods approaches, blending computational and design methods to develop human-centered AI systems that prioritize equity and collective decision-making. He holds a Ph.D. in Computer Science from Marquette University, advised by Dr. Shion Guha and Dr. Michael Zimmer. His work intersects Human-Computer Interaction (HCI), Machine Learning, and FAccT (Fairness, Accountability, and Transparency in Sociotechnical Systems). Key areas of research include responsible AI, participatory algorithm design, and rethinking risk assessment in public sector systems such as child welfare. Saxena has received prestigious recognition, including the Best Paper Award at CHI 2023 and the Presidential Postdoctoral Fellowship at Carnegie Mellon University. Recent projects include analyzing algorithmic harms in child welfare through casenote computational analysis, advocating for participatory AI frameworks in government, and exploring ethical AI innovation in early-stage concept selection. His work emphasizes bridging technical and sociocultural dimensions to ensure technologies serve public interest.
