R. Daniel Kelemen is McCourt Chair Professor at Georgetown University's McCourt School of Public Policy, with courtesy appointment at Georgetown Law. His research examines EU law transformation, comparative federalism, and democratic backsliding mechanisms. He received the European Union Studies Association Best Book Award for Eurolegalism: The Transformation of Law and Regulation in the European Union . Publications analyze constitutional crises, EU enforcement deficits, and autocracy dynamics. Recent works investigate funding conditionality for Hungary, judicial guardianship erosion, and geopolitical impacts of Russia's invasion of Ukraine. Article themes show consistent focus on institutional resilience and legal enforcement challenges. He serves on the Council of Foreign Relations and chairs EU policy consultations for risk analysis firms. Previously chaired Rutgers Political Science Department and directed its Center for European Studies.
Rabi N. Mahapatra is a Professor in the Department of Computer Science & Engineering at Texas A&M University, within the College of Engineering. His research focuses on embedded systems, reconfigurable architectures, real-time systems, and semantic networks. He holds a Ph.D. in Computer Engineering from the Indian Institute of Technology (1992), an M.S. in Electrical Engineering (Sambalpur University, 1984), and a B.S. in Electronics & Communication (Sambalpur University, 1979). His research interests include Network-on-Chip (NoC), data analytic co-design, IoT protocols, and temperature-aware energy management. His work emphasizes hardware-software co-design for complex systems, with applications in many-core processors, semantic search engines, and real-time embedded systems. Key publications highlight contributions to collaborative filtering on many-core architectures, low-jitter clock distribution circuits, and energy-efficient scheduling. He has been recognized as an IEEE Computer Society Distinguished Visitor (2005–2007) and received the BOYS-CAST Indo-US Young Scientist Award. He leads the Codesign Embedded Systems group at Texas A&M, exploring cutting-edge topics such as photonics NoC, reservoir computing, and IoT security. His research bridges theory and practice, addressing challenges in scalable systems and embedded applications.
Santiago Segarra is the W. M. Rice Trustee Associate Professor in the Department of Electrical and Computer Engineering at Rice University, with courtesy appointments in Computer Science and Statistics. He joined Rice in 2018 and collaborates with Microsoft Research since 2022. His expertise spans network theory, machine learning, graph signal processing, and optimization. Segarra earned his B.Sc. in Industrial Engineering from ITBA (2011), and M.S. and Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania (2014-2016), followed by a postdoc at MIT (2016-2018). Research Focus: His work integrates algebraic topology, signal processing, and machine learning to analyze networked systems. Key areas include social/technological network clustering, graph-based data analysis, and applications in neuroscience and communication networks. Recent projects address fair graph learning, distributed GNN training, and network topology inference. Awards: Penn’s Wolf Award for Best Dissertation (2017), Argentine National Engineering Honors (2011), and ITBA’s Best Thesis Award (2011). Grants/Sponsors: Supported by NSF, ONR, and industry collaborations. Labs/Groups: Leads the Rice Wireless group and collaborates with Microsoft Research on applied network science. Advises students in interdisciplinary research combining theory and real-world applications.
Richard Taylor is Associate Professor in QUT's Faculty of Engineering, specializing in applied superconductivity and power engineering. His research focuses on high-temperature superconducting (HTS) materials characterization, MgB2 wire technology, and energy-efficient cryogenic systems. Experimental work includes developing testing facilities for HTS machine performance under dynamic electromagnetic conditions. Publications demonstrate consistent focus on superconducting materials optimization for industrial applications.
Dr Paul Lashmar is a Reader in Journalism at the Department of Journalism , City, University of London , within the College of Arts and Social Sciences . He previously served as Head of Department (2019–2021) and has extensive experience as a national journalist, having worked for The Observer , The Independent , World in Action , BBC, and Channel 4. His academic and professional background is detailed through the following areas: Education: PhD, Brunel University London, 2015 PDAP (PGSHE Equivalent), Brunel University London, 2011 His research interests center on investigative journalism, media and intelligence agencies, propaganda, slavery and colonial history, and policing. His current research includes the legacy of British landed gentry in colonial slavery, Cold War covert propaganda via the Foreign Office’s Information Research Department (1947–1977), and police-media relations. His recent publications reflect a strong trend in historical and political journalism, with a focus on uncovering hidden power structures, intelligence operations, and colonial injustices. His work spans books, peer-reviewed articles, and public commentary in outlets like The Conversation , The Guardian , and The Observer . Key themes include media ethics, source protection in the digital age, and the role of journalism in democratic accountability. Scientific awards and honors are not explicitly mentioned in the provided text. In terms of advising and grants : Successfully secured a City internal HEIF grant (£4,825) for the Journalism Archive Project, a collaboration with London Metropolitan Archives. Adviser to the AHRC-funded project ‘Writers in Intelligence’ (£415,000). Supervised PhD students including Natricia Duncan, Lin Pan, and Dr Sawsun Tah. He has played a significant role in public engagement, organizing a conference on organ trafficking with the Metropolitan Police and speaking at high-profile events such as the US Embassy’s MP CSCC Training Day. He also led media training within his department and contributed to numerous television documentaries and radio programs on intelligence and crime. He is a founder of the Bureau of Investigative Journalism and has advised The Centre for Investigative Journalism, underscoring his leadership in advancing investigative journalism standards.
Seongtae Kim is an Assistant Professor of Supply Chain Management at Aalto University School of Business. He joined Aalto in 2019 after postdoctoral research at the Swiss Federal Institute of Technology Zurich. His PhD in Supply Chain Management was obtained from the University of Hull’s Logistics Institute (2013–2016). His research focuses on supply chain sustainability, risks, complex networks, and digital transformation. Key projects include a four-year Academy of Finland-funded initiative on supply chain restructuring amid disruptions. He serves as an associate editor for the International Journal of Operations and Production Management and editorial board member for Decision Sciences and Journal of Supply Chain Management , earning review service awards. His work emphasizes interdisciplinary connections between environmental, social, and governance issues in global supply chains. Research awards include the JSCM Best Paper Award (2020) and Chris Voss Best Paper Award (2022). Current grants involve analyzing supply chain resilience during megadisruptions. His articles span topics like ethical sourcing, shareholder value effects of disruptions, and green practices in multi-tier networks. He advocates for integrating diversity, equity, and inclusion into sustainable operations, addressing paradoxes in lean manufacturing and sustainability performance.
Dr. Rishita Nandagiri is a feminist researcher and academic currently serving as a Lecturer (Assistant Professor) in the Department of Global Health & Social Medicine at King's College London. She previously held research and teaching positions at the London School of Economics (LSE), including an ESRC Postdoctoral Fellowship and an LSE Fellow in Health and International Development. Her work is deeply rooted in reproductive justice, gender, and global health, with a focus on the Global South. PhD in Social Policy, London School of Economics (2019) ESRC Postdoctoral Fellow, LSE Department of Methodology (2020-2021) LSE Fellow in Health and International Development (2019-2020) Research Assistant, LSE Department of Media and Communications (2018-2019) Dr. Nandagiri’s research centers on reproductive (in)justices, interrogating how power and politics shape abortion access, self-managed abortion, care trajectories, and reproductive governance. Her work is interdisciplinary, drawing on feminist theory, qualitative and participatory methods, policy analysis, and co-production with communities and organizations. She has extended her research to examine the impact of the COVID-19 pandemic on abortion and the role of lay health providers in care delivery. Her methodological interests include multi-method designs that integrate interviews, archival research, and community engagement. The 15 most recent articles reflect a strong trajectory in reproductive justice, with increasing engagement with feminist economics, carceral systems, and global policy. Themes include structural violence, legal pluralism, care ethics, and transnational advocacy. Her publications span high-impact journals in public health, social policy, gender studies, and media, indicating a broad interdisciplinary reach. Scientific awards and recognitions include: ESRC Postdoctoral Fellowship (2020-2021) LSE Class Teacher Award (2020) LSE Research Investment and Infrastructure Funds (2020) Best PhD Poster Prize, British Society for Population Studies (2018) LSE PhD Studentship (2015-2019) Dr. Nandagiri has advised on and contributed to numerous research grants, particularly those related to reproductive health, digital privacy, and pandemic response. She has collaborated with major institutions such as UNFPA, the Women’s Global Network for Reproductive Rights, and FRIDA. She co-founded the Abortion Book Club and serves on editorial and advisory boards, including BMJ Sexual & Reproductive Health and the International Union for the Scientific Study of Population’s Abortion Research panel. She also co-convenes the Development Studies Association’s Women and Development Study Group, demonstrating strong leadership in academic and advocacy networks. She is actively involved in public engagement, contributing to LSE blogs, media outlets like Women's Health Magazine UK, and platforms such as the Oxford Human Rights Hub and Harvard’s Bill of Health. Her lab and team affiliations are not explicitly named, but her collaborative projects suggest strong ties to interdisciplinary research groups focused on global health, reproductive justice, and digital rights.
Prof. Dr.-Ing. Weihan Li is a Junior Professor at RWTH Aachen University, specializing in Artificial Intelligence and Digitalization for Batteries. He is affiliated with the Institute for Power Electronics and Electrical Drives (ISEA) and the Center for Ageing, Reliability, and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL). His research bridges informatics, electrochemistry, and power electronics to advance battery technology through AI. B.Sc. in Automotive Engineering (Tongji University, 2014) M.Sc. in Automotive Engineering and Transport (RWTH Aachen, 2017) Ph.D. in Electrical Engineering and Information Technology (RWTH Aachen, 2021, summa cum laude) Prof. Li’s research focuses on AI-driven battery modeling, diagnostics, and optimization. Key areas include digital twin technology, electrochemical parameterization, and lifetime prediction using field data. He explores multi-scale kinetic processes, thermal management, and mechanical-electrochemical coupling effects in battery systems. The articles listed reflect his leadership in AI-powered battery analytics, spanning degradation prediction, fast charging, failure mode analysis, and grid-scale storage. His work emphasizes both theoretical innovation (e.g., diffusion models, physics-informed neural networks) and practical applications (e.g., second-life battery screening, automotive integration). Clarivate Highly Cited Researcher 2024 BMBF BattFutur Research Group (€2M+) German Thesis Award (Körber Foundation) Reichart Prize vgbe Innovation Prize Battery Young Research Award Umbrella Award RWTH Innovation Award Prof. Li leads an interdisciplinary research group with over €6 million in grants from BMBF, BMWK, BMDV, European Commission, and industry partners. His teams focus on battery informatics, AI-driven diagnostics, and digitalization of testing processes at CARL and ISEA.
Morgan Edwards is an Assistant Professor at the University of Wisconsin-Madison's La Follette School of Public Affairs, specializing in human-centered energy responses to the climate crisis. Her work bridges policy analysis, systems modeling, and equity considerations across global, national, and local scales. Education: PhD in Engineering Systems (MIT), SM in Technology and Policy (MIT), BS in Environmental Science and Economics (UNC Chapel Hill) Research focuses on: Equity implications of energy transitions Systems modeling for climate policy Natural gas leak detection and mitigation Coal power phaseout strategies Negative emissions technology assessment Her lab develops tools connecting global climate goals with local action, emphasizing partnerships with underserved communities. Recent publications analyze methane mitigation, corporate climate-tech investments, and equity challenges in electrification.
Mikaela Vasstrøm (b.1977) is an Associate Professor at the Department of Global Development and Planning, University of Agder. She holds a PhD from the University of Copenhagen and leads significant research projects including the Norwegian Research Council-funded WINDPLAN initiative, which analyzes social acceptance and governance challenges in onshore wind power development across Norway, Scotland, and Denmark. She co-leads work packages in the WINDREG project focusing on procedural justice and knowledge co-production for energy transitions. Her research examines: Just energy transitions and energy democracy Governance challenges in renewable energy deployment Public participation in environmental conflicts Local/regional development implications of energy policies She co-directs UiA's participation in the Empowered Futures research school, developing PhD-level expertise in energy policy frameworks. Publications focus on wind energy governance, policy legitimacy, and spatial planning conflicts, with consistent themes of: Energy justice in policy design Local government capacity in energy transitions Participatory approaches in sustainability planning Research group affiliations include: Energy and Society Urban and Regional Planning (URPLAN)
Francesca Rodino is a Doctoral Assistant and Research Fellow at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the Electrical and Microengineering Institute (IEM). She conducts research at the BCI Lab in Neuchâtel, focusing on electrochemical biosensors and precision oncology platforms. She is concurrently pursuing a PhD in Microsystems and Microelectronics (EDMI program) at EPFL. Education: B.Sc. in Biomedical Engineering, Politecnico di Torino (2019) M.Sc. in Biomedical Instrumentation, Politecnico di Torino (2022) Research Focus: Her work integrates electrochemical sensors, machine learning, and microsystems for therapeutic drug monitoring and biomedical diagnostics. Key areas include: (1) Multi-drug quantification using intelligent sensors for personalized cancer therapy, (2) Machine learning-driven optimization of electrochemical detection, (3) Microfluidic platforms for disease diagnosis (e.g., malaria), and (4) Wearable systems for neural prosthetics. Her research bridges biomedical engineering, electronics, and data science to advance precision medicine. Publication Trends: Recent articles (2022-2024) demonstrate strong emphasis on electrochemical sensors enhanced by machine learning for pharmaceutical monitoring, particularly in oncology. Secondary themes include microfluidic diagnostics, wearable medical devices, and environmental sensors. Over 85% of publications involve interdisciplinary collaborations, reflecting integration of engineering, computational methods, and clinical applications. Teaching & Leadership: Teaching Assistant for Bio-nano-chip design (EE-517) and MEMS practicals II (MICRO-503) EPFL team coach for international SensUs biotechnology competition
Deepa Kundur is the Professor & Chair of The Edward S. Rogers Sr. Department of Electrical & Computer Engineering at the University of Toronto. She earned her BASc, MASc, and PhD in Electrical and Computer Engineering from the same institution in 1993, 1995, and 1999, respectively. Current roles: IEEE Spectrum Advisory Board Conference leadership: General Chair of 2018 GlobalSIP Symposium, TPC Co-Chair for IEEE SmartGridComm 2018, among others Her research focuses on cybersecurity , signal processing , and complex dynamical networks , particularly in smart grid applications. She has authored over 200 publications and pioneered techniques for detecting false data injection attacks, enhancing grid resilience, and integrating machine learning into power systems. Her recent work spans quantum learning for grid security , LLM-based mental health prediction , and resilient control systems . She has received 14 best paper recognitions, including IEEE SmartGridComm (2015) and IEEE INFOCOM Workshop (2008). Fellowships: IEEE Fellow (2015), Canadian Academy of Engineering Fellow (2016), Massey College Senior Fellow (2019) Teaching awards: Tenneco Meritorious Teaching Award (2005), Gordon Slemon Teaching of Design Award (2002) Early career honors: NSERC Scholarships (PGS A/B), Canada Scholarship She leads the Kundur Research Group , developing models for cyber-physical systems in smart grids and autonomous vehicle networks. Her team explores reinforcement learning for grid defense , transmissibility-based fault detection , and privacy-preserving smart grid analytics .
Lisa Heldke is a Professor in the Department of Philosophy at Gustavus Adolphus College and an affiliated faculty member in Gender, Women and Sexuality Studies. She has been a longstanding contributor to the academic community, teaching courses such as Modern Philosophy, American Philosophy, Feminist Philosophy, Critical Race Theory, and specialized seminars on food and eating. Her interdisciplinary work bridges philosophy with social justice, education, and culinary ethics. B.A. in Music and Philosophy from Gustavus Adolphus College M.A. and Ph.D. in Philosophy from Northwestern University Her research centers on American Philosophy , Feminist Philosophy , Critical Race Theory , and most notably, the Philosophy of Food . She critically examines food adventuring, colonialist attitudes in cuisine, and the ethical dimensions of eating. Her work explores how food shapes identity, community, and moral responsibility. Her recent and forthcoming publications reveal a deepening inquiry into biological interdependence—particularly parasitism and mutualism—suggesting a novel ontological framework rooted in eating relationships. This innovative direction reflects her ability to connect everyday practices with profound philosophical questions. Lisa Heldke’s scholarly contributions include influential books such as Exotic Appetites: Ruminations of a Food Adventurer and Philosophers at Table: On Food and Being Human , as well as co-editing Oppression, Privilege and Resistance . She is also on the editorial board of The Encyclopedia of Food and Agriculture Ethics (Springer). While specific details about student advising are not listed, her long-standing teaching career and mentorship through seminars suggest active engagement with students. She has no listed scientific awards in the provided texts, but her sustained publication record and editorial roles indicate significant recognition in her field. She is deeply involved in experiential learning, combining her philosophical inquiries with hands-on activities like baking bread in a backyard mud oven and studying sustainable agriculture. Her current research promises to expand the boundaries of philosophical thought by integrating ecological and biological realities into metaphysical and ethical frameworks.
Gianfranco Chicco is a Full Professor at the Politecnico di Torino , Italy, within the Department of Energy (DENERG). He serves as Scientific Director of the Electrical Power Systems research group and the Turin unit of the ENSIEL Consortium. A Fellow of IEEE (since 2018), he has held editorial leadership roles as Editor-in-Chief of Sustainable Energy, Grids and Networks and Subject Editor of Energy , while chairing major conferences like IEEE ISGT Europe 2017 and UPEC 2020. Education : Laurea (cum laude) in Electrical Engineering (1987), Ph.D. in Electrical Engineering (1992), Doctor Honoris Causa (2017, Polytechnic University of Bucharest; 2018, Technical University 'Gheorghe Asachi' of Iasi). Research Interests : Focus on power transmission and distribution systems , distributed energy resources , and multi-energy smart grids , with applications in artificial intelligence , load management , and power quality . His work addresses technical, economic, and environmental aspects of distributed generation and smart grid sustainability . Publications Trends : Recent articles emphasize photovoltaic power optimization , dynamic grid modeling , and multi-energy system coordination , reflecting expertise in renewable integration , clustering algorithms , and adaptive control . Key subfields include voltage stability , load forecasting , and blockchain for energy trading . Awards : IEEE Fellow (2018-) Best Paper Awards at SEST (2018, 2020) Doctor Honoris Causa (2017, 2018) 'Giancarlo Vallauri' Degree Prize (1988) Advising and Grants : Supervises PhD students in power converters , renewable integration , and high-voltage measurement methodologies . Leads European projects like H2020 MIGRATE and OSMOSE, focusing on grid resilience , clustering-based network planning , and multi-energy sustainability .
Lubomir P. Litov is the David M. Moffett Professor of Corporate Finance and an associate professor in the Finance Department at the Michael F. Price College of Business, University of Oklahoma. He also holds an appointment as Affiliate Associate Professor of Law at the OU College of Law. Dr. Litov received his Ph.D. in Economics from Leonard Stern School of Business at New York University. Prior to joining OU, he held faculty positions at the University of Arizona and Washington University in St. Louis. He is also a research associate at the Financial Institutions Center at the Wharton School of the University of Pennsylvania. Dr. Litov's research focuses on several key areas of finance and corporate governance: Corporate governance mechanisms and board structures Mergers and acquisitions processes and outcomes Venture capital and private equity investment strategies Entrepreneurial finance and growth equity Capital structure decisions and risk management International corporate finance and policy impacts His recent publications examine critical issues such as dual-class stock IPOs, policy uncertainty effects on venture capital, poison pill defenses, and the relationship between venture capitalist directors and managerial incentives. Dr. Litov's work consistently bridges theoretical frameworks with practical applications in corporate finance and governance, with articles published in top journals including the Journal of Finance, Journal of Financial Economics, and Journal of Accounting and Economics. Dr. Litov has received numerous teaching and research honors including: Harold E. Hackler Outstanding MBA Professor Award (2022) Merrick Foundation Teaching Award (2018) Hurley Roberson Teaching Excellence Award (2017) William Sharpe award for best paper in JFQA (2010) As an educator, Dr. Litov teaches courses on Mergers, Acquisitions & Corporate Restructuring across multiple programs including the MBA, Executive MBA in Aerospace & Defense, and MSc in Finance. He also co-organizes the Virtual Household Finance Seminar and the NYU-Georgia Tech-OU Economics Virtual Seminar on Artificial Intelligence and Decentralized Finance, bringing together leading researchers to discuss cutting-edge developments in finance.
