Pavel Kudinov is an Associate Professor at the Department of Nuclear Science & Engineering, KTH Royal Institute of Technology. He specializes in nuclear thermal-hydraulics, severe accident analysis, and computational fluid dynamics (CFD). His research focuses on phenomena such as steam explosions, containment venting, thermal stratification in suppression pools, and debris coolability during severe accidents. He actively contributes to experimental validation efforts using facilities like PPOOLEX and PANDA. His work integrates advanced modeling techniques with experimental data to improve safety assessments for boiling water reactors (BWRs) and lead-cooled reactors. He has collaborated on projects like SAFEST and SESAME, addressing core degradation, melt relocation, and ex-vessel accident management strategies. Key areas of expertise include: CFD modeling of multiphase flows, uncertainty quantification in severe accident codes (e.g., MELCOR), and risk-oriented accident analysis methodologies (ROAAM+). He teaches courses on nuclear reactor technology and applied modern physics at KTH.
Agustina Paglayan is an Associate Professor in the Department of Political Science and the School of Global Policy and Strategy at UC San Diego. She is also a non-resident fellow at the Center for Global Development and affiliated with the Policy Design and Evaluation Lab (PDEL). Her research focuses on the political economy of education and human capital, exploring how political systems influence education policies conducive to economic development. Education: PhD in Political Science, Stanford University MA in Education Policy, Stanford University MPP, Georgetown University Licenciatura en Economia, Universidad de San Andres, Argentina Research Interests: Political economy of education and human capital Democracy vs. authoritarianism dynamics in education systems Historical origins of mass education Policy design and evaluation Notable Work: Her 2024 book Raised to Obey: The Rise and Spread of Mass Education challenges conventional views on education's origins, arguing that mass schooling emerged as a tool for political control rather than democratic ideals or industrialization needs. This work has been featured in media outlets like The Economist and NPR. Affiliations & Activities: Consultant for UN, World Bank, and Inter-American Development Bank Founding President (2020–21) of the APSA Education Politics and Policy Section Teaches courses on political institutions, American politics, and quantitative methods
Milosh T. Puchovsky is a Professor of Practice & Associate Department Head in the Department of Fire Protection Engineering at Worcester Polytechnic Institute (WPI). He holds affiliations with Mechanical Engineering, Civil & Environmental Engineering, Chemical Engineering, and Architectural Engineering. With degrees from WPI (BS and MS), he bridges academic rigor with industry practice, emphasizing real-world fire safety challenges. Education: BS and MS in Fire Protection Engineering from WPI His research focuses on fire hazard analysis, occupant safety systems, and innovative fire protection technologies. Key areas include sprinkler systems, gaseous suppression, fire pump design, and energy storage safety. He emphasizes practical solutions for industry challenges, such as lithium-ion battery hazards and performance-based design. Professional roles include President of the Society of Fire Protection Engineers (2016), Chair of NFPA's Fire Pumps Technical Committee (2022), and Principal Instructor for NFPA 101 Life Safety Code. His work influences national standards and industry practices. He advises students on projects linking academic research to industry applications, fostering graduates capable of immediate professional impact. Media engagements include analysis on battery storage facilities and residential fire sprinkler demonstrations.
Benoît Geller is a Full Professor at IP Paris (Institut Polytechnique Paris)-ENSTA in the Computer Science and Systems Engineering Unit (U2IS). He heads the Specialized Master on autonomous systems for Defense (ILEMs) and has extensive experience in wireless communications research, particularly focusing on security and safety for defense applications. Accreditation to Lead Research (HDR) in Information Sciences from University of Paris (2004) PhD in wireless communication networks from INPG (1992) Engineering Master in Telecommunications from ENSERB (1988) Professor Geller's research focuses on wireless network security, with expertise in protecting communications against environmental interference and intentional attacks. His work spans from theoretical foundations in information theory and coding to practical applications in underwater acoustic channels, tactical communications, and IoT networks. He has developed innovative approaches using finite fields algebraic error correcting codes, turbo and LDPC codes, cryptography, and Bayesian inference techniques. His publication record shows a consistent focus on underwater communication systems, signal processing techniques, and security mechanisms. The research demonstrates a progression from theoretical foundations to practical implementations, with recent work emphasizing energy efficiency and resistance to jamming in tactical communication scenarios. His work has significant applications for the French Ministry of Defense. Knight of Academic Palms (2018) IEEE Senior member (2010) French Navy Reserve Superior Officer (2006) Professor Geller has led numerous European projects including Mast AIDA, Medea+ INCA, Medea+ MIDAS, Newcom++, Horizon 2020 Bridges, and MarTERA Bioglider. With approximately 100 international publications and 4 pending international patents, his research has made significant contributions to the field of secure wireless communications. He previously served as head of the Multisensor and Information Team at SATIE lab (Ecole Normale Superieure Paris Saclay) before joining ENSTA Paris in 2007-08.
Dr Jennifer Badham is an Assistant Professor in the Department of Sociology at Durham University, affiliated with the Faculty of Social Sciences and Health. She serves as the Director of MA Social Research Methods and Programme Lead for the MDS (Health Data Science) at the Durham Research Methods Centre. Her research focuses on computational methods for complex systems, network diffusion, public engagement, and social network structure. Education: PhD in Computational Social Science (Durham University) Prior roles: Postdoctoral positions at University of Surrey, Queen's University Belfast, and Durham University; Senior Health Policy Advisor in Australia Dr Badham's research explores how social structures influence the spread of ideas, diseases, and behaviors. She employs and extends methods from complexity science, including agent-based modeling and network analysis, with a particular interest in the role of models in policy processes and public engagement. Her recent publications highlight trends in agent-based modeling for health policy, network analysis for behavior interventions, and participatory methods in qualitative research. She emphasizes synthetic network generation, simulation of diffusion processes, and interdisciplinary modeling frameworks. Scientific Awards Fellow, Wolfson Research Institute for Health and Wellbeing (Durham University) Dr Badham supervises postgraduate research students, including Tengpeng Zhang . Her current projects include a major MRC-funded grant ( £528,850 ) to develop socially realistic synthetic networks for health and epidemic modeling. She has contributed to environmental modeling frameworks and health communication through computational approaches.
Daniel Leung is a Professor of Internal Medicine and Adjunct Professor of Microbiology and Immunology at the University of Utah . He holds a B.Sc. and M.Sc. from the University of British Columbia and an M.D. from Wake Forest University School of Medicine . His research focuses on Mucosal-Associated Invariant T (MAIT) cells in infections like cholera , sepsis , and diarrheal diseases , with emphasis on their immune regulatory roles and vaccine implications. Education: B.Sc., University of British Columbia M.Sc., University of British Columbia M.D., Wake Forest University School of Medicine Leung's work examines how MAIT cells contribute to B cell help , antibody production , and mucosal immunity . His team investigates these cells in human tonsil germinal centers and mouse models , particularly in cholera vaccine development using MAIT-activating ligands . Recent publications highlight his efforts in serosurveillance for cholera and SARS-CoV-2 , integrating statistical and machine learning approaches to estimate disease incidence from cross-sectional data. He also develops electronic clinical decision support tools (eCDST) for diarrhea management in low- and high-resource settings , aiming to reduce antibiotic misuse and improve patient outcomes. Key collaborations include the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) , GHESKIO (Haiti) , and institutions like Johns Hopkins and University of Florida . His research is funded by NIH (R01AI130378, R01AI135114, R01AI135115) and the Bill & Melinda Gates Foundation (OPP1198876).
Angelo D'Elia is a Research Fellow at the Monash University Accident Research Centre (MUARC) and a Statistical Consultant at the Victorian Injury Surveillance Unit (VISU). He holds a PhD in Public Health and Honours degrees in Mathematical Statistics and Mechanical Engineering. His expertise spans road safety evaluation, vehicle safety research, data linkage, and injury prevention. He leads and contributes to over 40 research projects, focusing on crash data analysis, countermeasure effectiveness (e.g., speed enforcement, airbags), and trauma trend modeling. D'Elia has authored 68+ publications and received awards for his work, including the 2024 Peter Vulcan Best Paper Award. He advises PhD students and collaborates internationally, contributing to policy through expert submissions to government inquiries. Education: Doctor of Philosophy in Public Health Bachelor of Science (Honours) in Mathematical Statistics Bachelor of Engineering (with Honours) in Mechanical Engineering Research Interests: Angelo’s work centers on optimizing administrative data for injury prevention, evaluating road safety programs (e.g., automated enforcement, vehicle safety tech), and developing advanced statistical models. He emphasizes translating data into actionable insights for policy, such as real-time injury tracking systems and baseline trauma models. Articles Trends: Recent work highlights vehicle safety regulations, injury severity scoring via linked data, and pandemic impacts on road safety. His analyses often combine large-scale datasets with time-series modeling to identify trends and inform policy. Awards: Peter Vulcan Best Paper Award (2024) MIRI Award for Best Early Career Paper (2013) Advising & Grants: Accepts PhD students and leads major grants evaluating NSW automated enforcement programs, crash avoidance technologies, and vehicle safety innovations. Collaborates with MUARC teams and external agencies on road trauma reduction initiatives. Labs/Teams: Member of the Injury Analysis and Data team at MUARC and VISU, focusing on statistical methodologies and interdisciplinary road safety solutions.
Prof. Dr.-Ing. Wilhelm Meyn is a Professor of Structural Engineering at the Berlin University of Technology's Department of Civil Engineering and Geoinformation. His expertise spans technical mechanics, structural engineering, and fire protection, with a focus on Eurocodes compliance and material behavior under thermal loads. He has advised numerous theses on fire protection systems, structural design, and historical building regulations. Key research interests include fire resistance of timber and concrete structures, evacuation route design, and historical fire safety practices. Meyn has authored over 20 technical publications since 2004, including works on Eurocodes implementation, fire dynamics, and structural integrity under fire conditions. His work often bridges academic research with practical engineering challenges. Recent publications (2017–2016) address fire protection systems performance analysis, historical Berlin building codes, and evacuation route optimization. Meyn frequently collaborates with institutions like the Brandenburg Chamber of Engineers and the CIB W18 Committee, contributing to international standards in timber and masonry construction. Education: Doctorate in Engineering (2009), Diploma/Bachelor/Master thesis supervision since 2004. Labs/Teams: Involved in structural fire protection research groups at TU Berlin and vocational training programs. Grants/Consulting: Engaged in infrastructure projects like the Oberdollendorf tunnel fire safety design.
Yanyan Zhuang is an Assistant Professor in the Department of Computer Science at the University of Colorado Colorado Springs (UCCS). Her research focuses on cybersecurity, IoT security, malware analysis, and the human aspects of software development. She leads initiatives in network security, mobile device privacy, and educational technology through platforms like the Sensibility Testbed and Tsumiki meta-platform. Her work bridges technical and human dimensions, including EEG-based studies of code comprehension and cross-cultural software development practices. Notable projects include IoT malware lifecycle analysis , cross-platform malware clustering , and vehicular network security . She has pioneered frameworks like PORT for public health screening and contributed to secure protocols for tire pressure monitoring systems. Research interests span: Cybersecurity and IoT Threats Malware Analysis & Digital Forensics Software Engineering Education Human-Centric Computing Mobile Privacy Preservation Networked Systems Security Her articles reflect a focus on practical solutions for real-world systems, combining formal methods (e.g., model-based fuzzing) with empirical studies (e.g., EEG measurements in programming tasks). No scientific awards are explicitly listed, though contributions to IEEE/ACM conferences demonstrate peer recognition. Advising and grants are not detailed in sources, but her Sensibility Testbed has been applied in over 200+ mobile research apps with automated IRB policy enforcement. Labs/Teams: Core contributor to the Sensibility Testbed (programmable sensor framework) and Tsumiki platform (testbed construction). Active in UCCS-ICORE interdisciplinary initiatives focusing on autism new media and complex systems research.
Carlo Ambrogio Favero is a Full Professor at Bocconi University, holding the Deutsche Bank Chair in Quantitative Finance and Asset Pricing since 2010. He is affiliated with both the Department of Economics and the Department of Finance at Bocconi. His academic journey includes a D.Phil. from Oxford University and a tenure as a member of the Oxford Econometrics Research Centre. His research focuses on applying econometric time-series methods to economic policy analysis, particularly in areas like bond and stock price modeling, monetary and fiscal policy, and macroeconomic forecasting. Recently, his work has expanded to include epidemiological modeling of SARS-CoV-2 spread in heterogeneous economies. **Education & Roles**: Favero has been a Professor of Econometrics since 1994 and Economics since 2002. He advises the Italian Ministry of Treasury on econometric models for the economy and consults global institutions like the European Commission and World Bank. He is a Research Fellow at CEPR and a Fellow at Bocconi’s Innocenzo Gasparini Institute and Institute for European Policymaking. **Research & Awards**: His book *Austerity. When it Works and When it Doesn’t* (2019) won the Hayek Book Prize. His research emphasizes interdisciplinary approaches, blending finance, economics, and demography to address long-run risks and policy effectiveness. Key topics include fiscal multipliers, liquidity effects on bond yields, and sovereign debt dynamics in the Eurozone. **Teaching & Outreach**: He teaches courses such as *Introduction to Sport Analytics* and *Fiscal Macroeconomics*, integrating coding tools like R and ChatGPT. The Deutsche Bank Chair organizes annual conferences to bridge academic and policy communities. His work also explores longevity risk in pension systems and the predictability of stock market returns driven by demographic trends. **Grants & Impact**: Favero’s collaborations with international bodies reflect his influence in policy design. His dual academic role ensures his research informs both theoretical advancements and practical policymaking, spanning from asset pricing frameworks to pandemic modeling.
Valentina Mele is an Associate Professor in the Department of Social and Political Science at Bocconi University. She specializes in public administration, focusing on innovation in government, cross-sector governance, and civil servant conduct. Her research has been published in leading journals like Journal of Public Administration Research and Theory and Public Administration Review . She has received prestigious awards, including the International Geneva Award (2012 and 2016) and the Best Published Paper Award (OMT, 2016). She also serves as a Visiting Lecturer at the University of Geneva and a Senior Fellow at ESADE’s Center for Public Governance. Her editorial roles include Senior Executive Editor of the Journal of Public Policy and membership on editorial boards of top journals. Previously, she directed the MSc in Economics and Management of Government and International Organizations at Bocconi and is now part of the Bocconi Evaluation Unit. Her research interests include global governance, telework in public organizations, and technological innovation in healthcare. She has conducted comparative studies on international organizations and public-private partnerships, with a focus on policy implementation challenges in transitional economies.
Huaping Liu is a Professor in the School of Electrical Engineering and Computer Science at Oregon State University (College of Engineering). He holds a Ph.D. in Electrical Engineering from New Jersey Institute of Technology (1997) and previously worked at Lucent Technologies (1997–2001). His research focuses on wireless communication systems, including MIMO systems, ultrawideband technologies, spread spectrum systems, and channel coding. He has contributed to applications in healthcare monitoring and industrial automation. Education: Ph.D., Electrical Engineering, New Jersey Institute of Technology (1997) M.S., Electrical Engineering, Nanjing University of Posts and Telecommunications (1990) B.S., Electrical Engineering, Nanjing University of Posts and Telecommunications (1987) Research Interests: Wireless communication theories and systems Embodied intelligence and multi-agent robotics Tactile sensing and large-area robotic skin Autonomous navigation and vision-language models Awards and Recognition: 2017 IEEE UEMCON Best Paper Award 2015 OSU College of Engineering Research Collaboration Award 2011 DesignCon Best Paper Award 2010 IEEE VTS Best Paper Award 2007 & 2004 EECS IEEE Professor of the Year Advising and Grants: Dr. Liu emphasizes student-driven learning, fostering critical thinking through inquiry-based teaching. His work involves collaborative projects in robotics, cybersecurity, and sensor systems, supported by grants and industry partnerships. Labs/Teams: Active in developing embodied intelligence frameworks, robotic tactile sensing systems, and cybersecurity solutions for digital twins and vehicular networks. Collaborates on simulation platforms for human-robot collaboration (e.g., HumanTHOR).
Luke Mathieson is a Senior Lecturer and Deputy Head of School (Teaching and Learning) in the School of Computer Science at the University of Technology Sydney. His academic career spans theoretical computer science with a focus on computational complexity and its applications. Dr. Mathieson's educational background includes a PhD in Theoretical Computer Science from Durham University, a Masters and Postgraduate Diploma in Higher Education from Macquarie University, and dual Bachelor's degrees in Computer Science (Honors) and Science (Chemistry) from the University of Newcastle Australia. His research interests are centered on parameterized complexity and its applications, extending to various areas of complexity theory, algorithmics, quantum computing, graph theory, and related mathematics. A major theme of his research is the complexity of graph editing problems, a topic in which he specializes. His recent work bridges theoretical complexity with practical applications in AI education, network science, and quantum computing. Dr. Mathieson has taught an extensive range of computer science subjects, particularly focusing on the theory of computation, computational complexity, and algorithmics. At UTS, he teaches or has taught subjects including Data Structures and Algorithms, Applications Programming, Computing Science Studio, Theory of Computing Science, Programming, and Advanced Algorithms. He serves as the Course Director for the Bachelor of Science in Information Technology suite of degree programs and the Course Coordinator for the IT Core. Senior Lecturer, University of Technology Sydney, School of Computer Science (2022-present) Lecturer, University of Technology Sydney, School of Computer Science (2021-2022) Scholarly Teaching Fellow, University of Technology Sydney, School of Computer Science (2017-2021) Research Associate, University of Newcastle Australia, Centre for Information Based Medicine (2014-2017) Adjunct Lecturer, Macquarie University, Department of Computer Science (2014) Postdoctoral Fellow, Macquarie University, Department of Computer Science (2011-2013) Research Associate, University of Newcastle Australia, School of Electrical Engineering and Computer Science (2010-2011) His research demonstrates consistent productivity across theoretical computer science with notable contributions to parameterized complexity and network controllability. Recent publications show an expanding scope incorporating quantum computing applications and educational technology innovations. The QB-suite: a framework for quantum algorithm design and benchmarking (2024-2027) National Industry PhD Program: Improving biosecurity through livestock history recording (2024-2028) Random Number Generation and Analytics for Client Understanding (2018-2019) He maintains active research collaborations across multiple institutions and is affiliated with the Faculty Centre for Quantum Software and Information (QSI) at UTS, reflecting his growing involvement in quantum computing research.
Jeļena Pundure serves as Associate Professor in Civil Protection at Riga Technical University's Governance and Security Institute. Holding a Doctoral degree in Economics from RTU (2011), she specializes in applying economic analysis to fire safety systems, risk management, and emergency services optimization. Her work bridges academic research with practical policy implementation for Latvian state institutions. Education Doctoral degree in Economics, Riga Technical University (2011) - Thesis: Assessing the economic efficiency of fire safety systems in Latvia Research Focus Her expertise spans economics, civil protection engineering, and environmental risk assessment , with emphasis on fire service optimization, disaster planning, and sustainable safety infrastructure . Current projects integrate EU regulatory frameworks with Latvian emergency response systems, particularly examining cost-benefit analyses of fire safety equipment and environmental risk modeling. Publication Trends Recent publications (2019-2024) demonstrate consistent focus on technogenic risk management across transportation, construction, and public infrastructure sectors. Key themes include fire service equipment optimization (2022-2024), environmental impact assessment (2019-2021), and disaster planning methodologies (2019), with strong contextualization within Latvian and EU regulatory environments. Projects & Professional Contributions Establishment of joint study courses in social security (2020-2023, Erasmus+): Led curriculum development as Contact Person Unified environmental risk plan for Jelgava and Šiauliai (2018-2019): Principal Researcher for municipal risk assessment Higher Education Quality Agency (2015-present): Expert in Latvian higher education quality assurance systems
Wilson Ozuem is Professor at the Business School for the Creative Arts, University for the Creative Arts, holding this position since November 2023. His academic role bridges business theory with creative industry applications, contributing to the university's mission in arts-focused business education within the UK higher education landscape. His research centers on digital consumer interactions, with primary interests in social media marketing dynamics, user-generated content ecosystems, and service failure/recovery mechanisms in digital environments. He employs qualitative methodologies including thematic analysis and symbolic interactionism to examine millennial consumer behavior, particularly in fashion and online communities. His work integrates theoretical frameworks like commitment-trust theory and actor-network theory to decode complex brand-customer relationships. Analysis of his 2020-2025 publications reveals consistent focus on digital brand engagement during crises, especially pandemic-induced behaviors like panic buying and misinformation spread. Key trends include influencer-mediated service recovery, negative word-of-mouth dynamics, and brand community loyalty mechanisms. His research demonstrates strong interdisciplinary connections between marketing, psychology, and social media studies, with increasing methodological innovation in AI-driven qualitative analysis.
