Priya Narasimhan is a Professor of Electrical & Computer Engineering at Carnegie Mellon University (CMU), affiliated with the College of Engineering. Her research focuses on dependable distributed systems, fault-tolerance, embedded systems, mobile systems, and sports technology. She leads the Intel Science and Technology Center in Embedded Computing (ISTC-EC) and founded YinzCam, a CMU spin-off providing mobile live streaming to sports venues. She holds multiple awards, including the Sloan Fellowship and NSF CAREER Award. Education: Ph.D. and M.S. in Electrical & Computer Engineering from UC Santa Barbara. Notable roles include former CTO of Eternal Systems, Director of Intel Labs Pittsburgh, and Director of CMU's CyLab Mobility Research Center. Research spans failure diagnosis in distributed systems, live upgrades, mobile cloud computing, football technology, assistive tech for the blind (Trinetra), and civic tech (iBurgh). Over 30+ students advised across Ph.D., M.S., and undergraduate programs. Active in entrepreneurship, teaching (courses like 18-349 Embedded Systems), and industry collaborations.
Federico Demaria is a Researcher at the Environmental Science and Technology Institute, Universitat Autònoma de Barcelona. He focuses on ecological economics, political ecology, and environmental justice, advocating for socio-ecological transformation beyond economic growth. As a founding member of Research & Degrowth and a board member of the European Society for Ecological Economics, he bridges academic research with activism. His current role includes deputy coordination of the ERC-funded EnvJustice project, studying global environmental justice movements. Research emphasizes waste management conflicts, informal recyclers' roles, and degrowth alternatives. Key publications include Decrecimiento: Vocabulario para una nueva era and Pluriverse: A Post-Development Dictionary , translated into multiple languages. Research interests coalesce around dismantling growth-based paradigms, centering marginalized groups in environmental struggles, and redefining sustainability beyond capitalist modernity. His work critiques extractive systems while proposing pluriversal alternatives grounded in indigenous and communal knowledge. Key Projects: EnvJustice (ERC), Degrowth initiative Key Themes: Waste politics, environmental conflicts, post-development, degrowth economics
Pavlos S. Georgilakis is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), specializing in modern techniques for power system analysis, optimization, and renewable energy integration. He holds a Diploma (1990) and PhD (2000) in Electrical Engineering from NTUA. His career includes roles as Lecturer (2009) and Associate Professor (2018–2023) at NTUA, and Assistant Professor at the Technical University of Crete (2004–2009). Research focuses on power transmission/distribution systems, transformer design, and applying AI/optimization for grid efficiency. He led 10 research projects, including Horizon 2020 initiatives SHAR-Q, WiseGRID, and NobelGrid. He authored 3 books and over 230 publications (SCOPUS citations: >5,500). Editor of IET Smart Grid, Energies, and Electricity journals; senior IEEE member. He supervised 4 doctoral, 9 master’s, and 76 diploma theses. Awards include the 2013 Best Reviewer Award from Electric Power Systems Research. Active in energy storage, smart grids, and decentralized energy resource integration.
Joao Carlos Amaro Ferreira is a Professor at the Faculty of Logistics, Molde University College (HiMolde), Norway. He holds PhDs in Computer Engineering and Industrial Engineering from the Technical University of Lisbon and the University of Minho, respectively. His research focuses on Artificial Intelligence (AI) applications in healthcare, energy, transportation, IoT, blockchain, and smart cities. He has led over 40 projects, including 6 as Principal Investigator, and contributed to international conferences like OAIR and INTSYS. He served as IEEE CIS President (2016-2018) and is an IEEE Senior Member since 2015. His academic contributions span AI-driven solutions for public sector informatics, healthcare data quality, and cybersecurity. He actively participates in European projects such as e-Hospital4Future and explores blockchain applications in supply chains and medical records. Ferreira leads the ABC-AI research group, emphasizing ethical and applied AI. His work bridges academia and industry through projects like gamification systems for eco-driving and AI in fisheries traceability. Recent publications highlight AI's role in cardiovascular disease detection, emergency department optimization, and blockchain-enhanced healthcare interoperability. He collaborates internationally, co-editing journals like Applied Sciences , and has authored patents in edge computing for maritime monitoring.
Ljiljana Trajkovic is a Professor in the Department of Engineering Science at Simon Fraser University's Faculty of Applied Sciences. She holds a Ph.D. from the University of California, Los Angeles (1986), M.Sc. from Syracuse University (1979), and Dipl.Ing. from the University of Pristina (1974). Her research focuses on communication networks, nonlinear circuits, and machine learning applications for network security. She actively contributes to IEEE initiatives, including roles as conference committee chair and editorial board member. Education highlights include a strong foundation in electrical engineering and advanced studies in circuit theory and systems science. Her work bridges theoretical analysis with practical applications, such as anomaly detection in communication networks using machine learning. She teaches courses like ENSC 220 D100 Electric Circuits I, integrating research insights into education. Research interests emphasize network security, traffic analysis, and distributed systems. Recent articles explore BGP anomaly classification, ransomware detection, and virtual network embedding. She collaborates on tools like VNE-Sim and Anonym for network analysis. Awards and recognitions are highlighted through her leadership roles in IEEE and academic contributions. Advising and grants involve mentoring graduate students in cybersecurity and networking projects. She leads research teams exploring complex networks and their applications in autonomous systems. Her lab focuses on interdisciplinary projects merging electronics engineering with AI-driven network solutions.
Professor John D. Kubiatowicz is a faculty member at the University of California at Berkeley in the Department of Electrical Engineering and Computer Sciences since 1998. He holds a PhD in Electrical Engineering and Computer Science (minor in Physics) from MIT (1998), an M.S. in EECS (1993), and a double B.S. in Electrical Engineering and Physics (1987) from MIT. His research interests span Quantum Computing Architectures Distributed Systems and Storage Network Security and Peer-to-Peer Protocols Introspective and Manycore Operating Systems Edge and Fog Computing Hardware-Assisted Security He has pioneered systems like OceanStore , a global-scale distributed file system, and Tessellation , a manycore OS with continuous adaptation. The scientific awards he has received include Presidential Early Career Award (PECASE, 2000) Scientific American 50 (2002) Diane S. McEntyre Teaching Award (2003) IEEE ICRA Best Paper (2025) George M. Sprowls Award for MIT PhD thesis (1998) Okawa Research Grant (1998) Best Paper at International Conference on Supercomputing (1993) His recent publications focus on Quantum Circuit Design and Optimization Edge/Fog Computing Architectures Secure Runtime Systems Distributed Garbage Collection Manycore OS Innovations Hardware-Assisted Security Mechanisms He leads the Quantum Architecture Research Center and co-founded the SWARM Lab at Berkeley, advancing a vision of self-adapting, secure systems from the chip level to internet scale.
Lisa Yan serves as a Teaching Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, appointed in Spring 2022. She teaches core computer science education courses including CS 195 (Social Implications of Computer Technology), CS H195 (Honors variant), CS 294-189 (Teaching Process Design), and CS 375 (Teaching Techniques), holding regular office hours in Soda Hall for student engagement. Her academic credentials include: PhD in Electrical Engineering from Stanford University (2019) MS in Electrical Engineering from Stanford University (2015) BS in Electrical Engineering and Computer Science from UC Berkeley (2013) Dr. Yan's research centers on data-driven analysis of student learning in large-scale computer science courses, with significant contributions to computing ethics pedagogy and teaching assistant development programs. Her work develops innovative methodologies for assessing student earnestness in interactive lectures, creating flexible learning extensions, and designing integrity-focused assessments. Earlier research focused on software-defined networking and network switch performance optimization, demonstrating technical depth before her pivot to educational innovation. Current projects emphasize scalable teaching techniques and mastery learning frameworks that address challenges in modern CS education. Analysis of her 14 publications (2013-2024) reveals a strategic shift from computer networking (pre-2018) to computer science education research (2018-present). Recent work (2020-2024) dominates in venues like SIGCSE, featuring tools such as Otter-Grader for Jupyter notebook grading and the Earnest Insight Toolkit for lecture participation analysis. This evolution highlights her commitment to solving practical educational challenges through data analysis and tool development, particularly for large undergraduate courses. She received recognition through: The Faculty Award for Outstanding Mentorship of GSIs (2024) Lisa actively mentors Graduate Student Instructors and collaborates with educational technology initiatives. Her research team includes dedicated support staff like Taylor Kaserman (taylor.kase@berkeley.edu), reflecting structured collaboration in developing teaching innovations. She contributes to curriculum design committees within EECS, focusing on assessment integrity and scalable pedagogical methods for growing student populations. Her work operates through the EECS department's educational infrastructure, utilizing Soda Hall resources for both teaching coordination and research development, with strong connections to Berkeley's broader computing education ecosystem.
Dr. Mary E. Power is a Professor of the Graduate School at the University of California, Berkeley. She specializes in river ecology, focusing on algal-based food webs and their interactions with hydroclimatic regimes. Her research integrates field experiments and long-term monitoring in the South Fork Eel River, examining how flow variations and environmental conditions drive ecosystem state transitions. Primary Research Site: Angelo Coast Range Reserve (Mendocino Co., CA) Key Methodologies: In situ incubations, stable isotope probing, nanoSIMS analysis Current Focus: 2024- study of three alternative algal food web states during summer low flows Her work reveals critical thresholds where reduced summer flows and warming pools shift nutritious algal ecosystems toward toxic cyanobacterial dominance, impacting salmon and cross-ecosystem linkages. Selected Research Trends: Hydrological control of food web structure Cyanotoxin dynamics in river networks Climate change impacts on freshwater ecosystems Long-term ecological reconstructions via sediment cores Top-down and bottom-up regulation of river communities Her lab employs cutting-edge techniques to analyze microbiome elemental exchanges and successional patterns in Cladophora glomerata, a dominant green macroalga in the Eel River system.
Monowar Bhuyan is an Associate Professor in the Department of Computing Science at Umeå University, Sweden, leading the Cyber Analytics and Learning Group within ADSLab. He holds a Ph.D. in Computer Science from Tezpur University and has held academic positions at Assam Kaziranga University and Umeå University. His research focuses on machine learning, anomaly detection, edge AI, and distributed systems security. He has secured over 35 MSEK in grants from WASP, STINT, and EU Horizon programs. Education Ph.D. in Computer Science and Engineering, Tezpur University (2014) M.Tech. in Information Technology, Tezpur University (2009) B.E. in Computer Science and Engineering, IETE (2007) Research Interests Distributed/Federated/Responsible Machine Learning Cybersecurity and Anomaly Detection in Edge Clouds AI for DDoS Defense and Cyber Resilience Edge AI and Serverless Computing Recent Contributions His recent work addresses secure federated learning, DDoS attack detection in cloud-edge systems, and responsible AI. Key publications include novel frameworks for VSI-DDoS detection and federated learning optimizations. Awards & Grants Best Paper Awards at ICONIP 2023 and ACM ICACCI 2012 WASP NEST Grant (AIR2 Project, 5 MSEK) EU Horizon Europe Grant (SovereignEdge.Cognit, 8.27 MSEK) Lab & Collaborations He leads the Cyber Analytics and Learning Group (ADSlab), collaborating with institutions like KTH, Linköping University, and Nara Institute of Science and Technology (NAIST). The lab focuses on AI-driven security solutions for distributed systems.
Pedro Oliveira is a leading academic and administrator with diverse roles across institutions. He currently serves as Dean at Nova School of Business and Economics , where he holds the Cascais Chair in Operations, Technology, and Innovation Management . Additionally, he is a Professor MSO at Copenhagen Business School , Academic Fellow at Cornell University , and Adjunct Professor at MIT Sloan School of Management . He also founded the Patient Innovation platform and co-founded PPL Crowdfunding . Education: Ph.D. in Operations, Technology, and Innovation Management (2004), University of North Carolina at Chapel Hill M.Sc. in Operations Research and Systems Engineering (2000), Instituto Superior Técnico Licenciatura in Naval Engineering (1996), Instituto Superior Técnico Research Focus: Pedro Oliveira's work centers on Open and User Innovation , Patient Innovation , and Social and Impact Innovation , with a strong emphasis on Service Operations Management and Artificial Intelligence in Innovation . His studies often bridge Technology Strategy with Healthcare and Financial Services , exploring how users can drive innovation in resource-constrained environments. Publication Trends: His recent works emphasize collaborative innovation in public and semi-public domains , patient-driven healthcare solutions , and user innovation in digital finance . He has also published extensively on knowledge commons and innovation during crises , such as the COVID-19 pandemic . Leadership and Advisory Roles: Pedro has held significant administrative roles, including Senior Associate Dean for Faculty & Research and Director of the Research Unit in Business and Economics . He has advised the Portuguese Ministry of Science, Technology, and Higher Education and served on the Environment & Sustainability Council at EDP Energias de Portugal . He is also the President of the Open and User Innovation Society and a counselor on the National Council for Science, Technology, and Innovation (CNCTI) and Economic and Social Council (CES) in Portugal. Labs and Teams: As founder of Patient Innovation , he has established a global platform for user-driven healthcare solutions. His work also includes collaborative digital health initiatives , such as the Saúde.Come Senior program addressing food insecurity in elderly populations through TV-based eHealth interventions.
Marco Badami is a Full Professor at the Department of Energy (DENERG) , Polytechnic of Turin. He serves as Scientific Director for national and EU-funded research projects in energy systems and has been a Course Lecturer for Energy Systems and Industrial Use of Energy since 2010. He supervises PhD students in Energetics and Electrical Engineering . Research Interests: His work spans energy systems optimization, machine learning applications for industrial energy efficiency, smart grids, cogeneration scheduling, blockchain-based energy data immutability, and predictive maintenance algorithms for photovoltaic plants. Current projects focus on AI-driven energy audits, optimized control systems for industrial microgrids, and digital twin architectures. Collaborations: He works with Trigenia Srl, Stogit SpA, and international institutions on commercial research contracts. His scientific contributions include 15+ publications on topics like LSTM forecasting for solar energy, deep reinforcement learning for multi-energy systems, and decentralized peer-to-peer energy trading platforms.
Darrell Ross is a Professor in Entomology at the School of Natural Resource Sciences , North Dakota State University . Previously, he held professorial roles at Oregon State University in the Department of Forest Ecosystems and Society and served as Director of the Richardson Hall Quarantine Facility from 2006–2019. His academic journey began with a PhD in Entomology from the University of Georgia (1990), an MS in Forest Ecology from Oregon State University (1985), and a BS in Forest Science from Pennsylvania State University (1981). PhD , Entomology, University of Georgia, 1990 MS , Forest Ecology, Oregon State University, 1985 BS , Forest Science, Pennsylvania State University, 1981 Dr. Ross specializes in forest entomology, focusing on bark beetle ecology, pheromone-based management strategies, and biological control of invasive species like the hemlock woolly adelgid. His work integrates chemical ecology with forest health assessment and ecological restoration. His research emphasizes pheromone applications (e.g., MCH) for bark beetle control, predator-prey dynamics in biological control of adelgids, and habitat manipulation for pest management. Recent studies address biodegradable pheromone formulations, predator phenology for invasive species control, and post-outbreak ecological impacts on pollinators. At Oregon State University, he directed the Richardson Hall Quarantine Facility, contributing to large-scale forest protection strategies. Current work at NDSU continues his legacy in integrating chemical signaling with forest ecosystem management.
Cihan Tepedelenlioglu is an Associate Professor at Arizona State University's School of Electrical, Computer and Energy Engineering. His work bridges wireless communications, statistical signal processing, and renewable energy systems, with a focus on photovoltaic array monitoring, fault detection, and optimization. PhD, MS, and BS in Electrical Engineering from University of Minnesota, University of Virginia, and Florida Institute of Technology 2001 NSF CAREER Award recipient Research interests span wireless communications , graph signal processing , stochastic optimization , and machine learning applications to solar energy systems . Key projects include quantum machine learning for PV topology optimization, consensus algorithms for distributed networks, and real-time fault detection using neural networks. Recent articles emphasize machine learning in energy systems (2023-2025), with 12 publications on photovoltaic monitoring and 3 on consensus algorithms. Earlier work focused on channel estimation in OFDM systems and fading models in wireless communications. Scientific awards : NSF CAREER Award (2001) Major grants include NSF funding for networked solar array management (2013-2016), nonlinear distributed consensus (2013-2016), and statistical processing of solar data (2009-2012). Teaching roles include EEE 350 Random Signal Analysis and graduate research supervision in signal processing and wireless communications. Collaborates extensively with Andreas Spanias, Mahesh Banavar, and other researchers on cyber-physical systems for energy applications.
Dr Harry Munt is a Senior Lecturer in Medieval History at the University of York, specializing in the Islamic world (600–1500 CE), with particular focus on the Arabian Peninsula, holy cities, pilgrimage practices, and Arabic historiography. BA (Cambridge), DPhil (Oxford) Joined York in 2014 after British Academy Postdoctoral Fellowship at Oxford Research Interests Early Islamic Arabian Peninsula Origins of Arabic local history-writing Hajj pilgrimage development Economic history of Islamic Middle East Interfaith relations in medieval urban centers Contested processes of sacred space creation Recent Publications examine: Caliphal authority in ḥijāz economy Medieval Meccan historiography Hajj ritual evolution Local vs. universal historical narratives Awards British Academy Postdoctoral Fellowship Current Projects include a book on medieval Islamic local history-writing and its implications for understanding urban concepts and interfaith dynamics.
Zhibin Chen is an Assistant Professor of Engineering at NYU Shanghai and concurrently a Global Network Assistant Professor within the broader New York University system. Since January 2019 he has led research and teaching activities at the Division of Engineering and Computer Science in Shanghai, while maintaining university-wide collaborations through his Global Network appointment. Education Ph.D. in Transportation Engineering, University of Florida (2017) Research Interests Dr. Chen’s scholarship centres on Transportation Network Modeling and Optimization , Intelligent Transportation Systems , and Discrete Optimization . He integrates operations research, data science, and engineering to address emerging challenges in electric mobility, autonomous vehicles, and large-scale urban networks. Recent thrusts include: Data-driven analytics of electric-vehicle charging behaviour under usage heterogeneity. Optimization of charging and swapping infrastructure for electric buses and trucks. Network-level deployment and control strategies for connected and automated vehicles. Day-to-day traffic dynamics and equilibrium models with elastic demand. Pricing, policy, and incentive design for sustainable transportation systems. Scientific Awards Stella Dafermos Best Paper Award – awarded at the 95th Transportation Research Board Annual Meeting. Ryuichi Kitamura Paper Award – also conferred at the 95th TRB Annual Meeting. Editorial & Professional Service Dr. Chen currently serves on the Editorial Advisory Board of Transportation Research Part C: Emerging Technologies , shaping the editorial direction of the leading journal in his field. Grants & Collaborations While specific grant identifiers are not disclosed in the provided text, Dr. Chen’s extensive publication record in top-tier journals ( Transportation Science , Transportation Research Parts B, C, D , IEEE ITS , Applied Energy ) and his editorial role indicate sustained research funding and active collaboration with international partners across North America and China. Laboratories & Teams Operating within the Division of Engineering and Computer Science at NYU Shanghai , Dr. Chen leads a research group focused on next-generation mobility analytics, leveraging the university’s interdisciplinary ecosystem and NYU’s Global Network resources to advance smart and sustainable transportation.
