Carlos A. Coelho is a Full Professor of Statistics at the Mathematics Department of NOVA School of Science and Technology, NOVA University of Lisbon. He holds a Ph.D. in Biostatistics from the University of Michigan, Ann Arbor, USA, supported by a Fulbright scholarship. His research focuses on Multivariate Analysis, including likelihood ratio tests for covariance structures and MANOVA models, near-exact distributions, and applications in Statistical Disclosure Control. He also explores High-dimensionality testing and Linear Models. Carlos serves on several editorial boards, including the Journal of Statistical Theory and Practice , American Journal of Mathematical and Management Sciences , and Springer's Emerging Topics in Statistics and Biostatistics book series. He is currently President of Fulbrighters Portugal, the Portuguese Fulbright Alumni Association, and a member of the International Council of the Tsenov Academy of Economics' library. His work emphasizes bridging theoretical advancements in statistics with practical applications, particularly in biostatistics and interdisciplinary research.
Robert Pankiewicz is an Assistant Professor at the Department of Finance and Accounting, Institute of Economics and Finance, Faculty of Social Sciences, John Paul II Catholic University of Lublin, Poland. His work focuses on financial systems, taxation, and economic development in Eastern Europe. Current role: Assistant Professor in Finance and Accounting Key institutions: John Paul II Catholic University of Lublin, Polish Economic Society Dr. Pankiewicz's research spans financial reporting, cost management, and regional economic analysis. He has explored tax collection challenges in Poland, cashless transaction dynamics, and the role of EU funding in Eastern Poland's innovation policy. His academic work includes studies on household income disparities, family business sustainability, and R&D commercialization. These align with broader themes of economic governance and development. Major projects: "Active student - active graduate" (National Centre for Research and Development), EU-funded internship "Science for the economy" Conference participation: 2018 national conference on tax gaps, 2017 international conference on cashless transactions Dr. Pankiewicz has supervised numerous diploma theses on topics including tax optimization, financial reporting, and cost management. His contributions to peer-reviewed publications highlight his expertise in economic analysis and policy implementation.
Professor Anton Kolotilin is a faculty member at the University of New South Wales (UNSW), affiliated with the UNSW Business School. His research focuses on Microeconomic Theory and Information Economics, with particular emphasis on strategic communication, persuasion mechanisms, and game-theoretic models. He has contributed significantly to understanding optimal information disclosure strategies, the design of persuasive communication frameworks, and the economic implications of partisan gerrymandering. His work intersects with political economy, experimental design, and network formation models. Professor Kolotilin has an extensive publication record with over 13 journal articles, 3 working papers, and 13 preprints. His recent research explores topics such as the duality of persuasion, censorship as an optimal strategy, and the application of linear programming to information design. He frequently collaborates on interdisciplinary projects, bridging theoretical economics with practical policy analysis. Key research interests include mechanism design, Bayesian persuasion, strategic information transmission, and the analysis of social and economic networks. While no specific grants or awards are listed, his prolific output underscores his contributions to academic discourse in economics and related fields.
Duncan Smith is a researcher specializing in statistical disclosure control (SDC) and privacy-preserving techniques. His work focuses on developing algorithms and software to protect data privacy while maintaining statistical utility, particularly in contexts involving linked or synthesized datasets. He holds a PhD in Statistical Disclosure Control from an institution where he was supervised by Michael Elliot and Ian Buchan. Research interests include Bayesian methods, highly structured stochastic systems, and computational privacy solutions. His recent work explores re-identification risks in data linkage, secure pseudonymisation for probabilistic record linkage, and unified risk assessment frameworks for data disclosure. He has contributed to projects such as the 2019–2022 'Statistical Modelling' initiative addressing migration data analysis. His research aligns with UN Sustainable Development Goals, particularly Digital Futures. He has peer-reviewed for journals like Journal of Official Statistics and International Statistical Review . No scientific awards are listed. His activities include supervising his own PhD work and collaborating on privacy practices with data stewardship organizations.
Chris Wiggins is an Associate Professor of Applied Mathematics and Systems Biology at Columbia University, with affiliations in the Department of Statistics. He is based in the School of Engineering and Applied Science and conducts interdisciplinary research at the intersection of data science, machine learning, and biological systems. His work bridges computational modeling with applications in genomics, single-molecule biophysics, digital health, and disinformation studies. His research interests include: Data Science and its societal implications Machine learning for biological networks and gene regulation Bayesian and statistical inference in single-molecule experiments Privacy-aware data analysis and algorithmic ethics Modeling in digital health, including menstrual cycle prediction and cancer drug screening Information-theoretic approaches to network structure and dynamics The trends in his recent publications reveal a growing focus on the ethical and societal dimensions of data science, as seen in works like How Data Happened and An Agenda for Disinformation Research , while maintaining strong technical contributions in biomedical modeling, particularly in cancer and women’s health. His work combines rigorous statistical methods with real-world data challenges. Notable scientific contributions include foundational work on ARACNE for gene regulatory network inference, Bayesian modeling of single-molecule dynamics, and methodological advances in dose-response modeling. His publications span top journals in bioinformatics, computational biology, and data science. He has advised doctoral students in applied mathematics and computational biology, though specific names are not listed in the provided text. His research has been supported by interdisciplinary grants, particularly in systems biology and data science initiatives. He is actively involved in shaping the philosophy and pedagogy of data science as a field. Chris Wiggins is associated with research centers at Columbia that focus on applied statistics, probability, and data science. He contributes to seminars and educational programs that promote quantitative reasoning across disciplines, particularly in the context of modern data-driven challenges.
Anna Scaglione is a Professor in the Department of Electrical and Computer Engineering at Cornell University's College of Engineering, based at Cornell Tech. She rejoined the faculty in September 2021 after holding professorial positions at Arizona State University, UC Davis, and earlier at Cornell (2001–2008). She earned her M.Sc. in 1995 and Ph.D. in 1999 from Cornell University. Research Interests: Her work centers on statistical signal processing with applications in communication networks, electric power systems, intelligent infrastructure, and network science. Key areas include graph signal processing, federated learning, differential privacy, reinforcement learning for energy systems, and cyber-physical security in smart grids. She integrates machine learning, optimization, and control theory to address challenges in modern power systems and IoT. The 15 most recent publications (2021–2025) reveal a dominant trend in privacy-preserving and AI-driven solutions for power systems. Her research emphasizes federated learning , graph neural networks , differential privacy , and reinforcement learning applied to grid stability, cybersecurity, and distributed energy management. There is a strong focus on graph signal processing for power grid modeling and anomaly detection, as well as synthetic data generation and secure transactive energy platforms . IEEE Fellow (2011) IEEE Signal Processing Transactions Best Paper Award (2000) IEEE Donald G. Fink Prize Paper Award (2013) IEEE Signal Processing Society Young Author Best Paper Award (2013, with Lin Li) IEEE Smart Grid Communications Technical Committee Technical Achievement Award (2020) IEEE SPS Distinguished Lecturer (2019–2020) Dr. Scaglione has advised students including Lin Li, whose work earned a best paper award. She has secured significant research grants related to smart grid security, privacy, and optimization. Her editorial leadership includes Editor-in-Chief of IEEE Signal Processing Letters (2012–2013) and Deputy Editor-in-Chief of IEEE Transactions on Control of Networked Systems . She has served on IEEE technical committees, steering committees, and as General or Technical Chair for major conferences such as SPAWC, SmartGridComm, and GlobalSIP. She leads research in smart grid signal processing , secure distributed energy systems , and privacy-aware machine learning for infrastructure . Her team develops frameworks like Grid-GSP (Graph Signal Processing for power grids), SoDa (synthetic solar data), and CIGAR (cybersecurity via inverter reconfiguration). She is involved in blockchain-based transactive energy platforms and resilient simulation environments for critical infrastructure.
Rohit Chadha is an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri and serves as the Director of the Mizzou Cybersecurity Center . His research focuses on formal methods and their application to cybersecurity , particularly in verifying differential privacy mechanisms and randomized security protocols . Education : PhD from the University of Pennsylvania, BTech from the Indian Institute of Technology, Delhi Previous Positions : INRIA Saclay (France), University of Illinois at Urbana-Champaign, Instituto Superior Tecnico (Portugal), University of Sussex (UK) Research Interests include automated verification of security hyperproperties , probabilistic automata , and quantitative information flow . His work addresses privacy risks in aggregate data and AI-driven battlefield communication systems. Publication Trends show a focus on differential privacy verification , zero-trust architectures , and model checking of probabilistic systems. He has contributed to security frameworks for military applications and educational initiatives using collegiate competitions. Scientific Awards : NSF CAREER Award (2016) NSF SHF: Medium Grant (2019) NSF TWC: Medium Grant (2013) Rohit leads the Mizzou Cybersecurity Center , collaborating with industry partners through its Industrial Advisory Board . His research integrates formal verification with practical cyber defense applications.
Jinghui Hou is an Assistant Professor of Information Systems in the Department of Decision and Information Sciences at the Bauer College of Business, University of Houston. Her research bridges artificial intelligence, consumer behavior, and health informatics, with a strong emphasis on theory-driven technological design that fosters self-beneficial and pro-social behaviors. Education: Ph.D. in Communication, University of Southern California (ICT focus) B.S. in Statistics, Fudan University, School of Management Her research interests include Artificial Intelligence , IT-Mediated Markets , Health Informatics , and Theory Construction . She employs a multi-method approach, integrating laboratory and field experiments, econometrics, text mining, machine learning, and qualitative methods to ensure robust findings. Her work frequently appears in top journals such as MIS Quarterly and Information Systems Research . The recent publications reflect a strong trend in understanding human-AI interaction, particularly in consumer decision-making, creative processes, and ethical implications of information disclosure. Themes include autonomy in AI-assisted decisions, unintended consequences of transparency, and the role of social norms in digital platforms. Scientific Awards: 2022 Wayne and Kathryn E. Payne Award for Excellence in Teaching 2021 Ostrofsky Research Award in Outstanding MIS Research Bauer Research Star (2021, 2022, 2024) 2018 Outstanding Faculty Research Recognition Award, Florida State University As a co-Principal Investigator, she has received funding from the National Science Foundation (2016–2019). She has advised multiple research projects and mentored students in information systems research. Her editorial service includes roles as Associate Editor for ICIS 2025 and PACIS 2025, and membership on the Editorial Review Board of Decision Sciences . While no formal lab is mentioned, her research group engages in experimental and data-driven studies on digital platforms and AI behavior.
Regina Pagani is a full Professor at the Production Engineering Academic Department (DAENP) and a Permanent Professor in the Graduate Program in Production Engineering (PPGEP) at the Federal University of Technology (UTFPR), Paraná, Brazil. She holds a PhD in Production Engineering (UTFPR) with a research period at Université de Technologie de Compiègne (UTC) under Sorbonne Universités. Her academic leadership includes heading the Technology Transfer Management Research Group (GTT), where she developed the Methodi Ordinatio, a systematic literature review methodology. Education: PhD in Production Engineering (UTFPR) Masters in Production Engineering (UTFPR) Specialization in Industrial Management (UTFPR) Bachelor in Business Administration (UEM) Research Interests: Technology Transfer, Smart Cities, Innovation Ecosystems, Sustainable Development, and Industry 4.0 applications. She focuses on integrating technology transfer with urban development, healthcare innovation, and environmental sustainability. Recent work emphasizes predictive models for healthcare using big data analytics and frameworks for sustainable supply chains. Key Awards: PQ2 – CNPq (Brazil) Research Productivity Fellowship Grants & Advising: Active in federal research grants and leads interdisciplinary teams in GTT. Her advisory work includes mentoring projects on Industry 4.0 adoption, smart city metrics, and technology diffusion strategies. Collaborates with institutions like Sorbonne Universités and global industry partners. Labs & Teams: Directs the GTT research group, focusing on Methodi Ordinatio applications in systematic reviews and innovation ecosystem modeling. Engaged with UTFPR's Competitiveness, Innovation and Sustainability (CIS) unit.
Dr. Marten van Dijk is a Full Professor in the Computer Security department at Vrije Universiteit Amsterdam (VU) since 2022 and a Group Leader for Computer Security at CWI since 2020. He also holds a Gratis Full Research Professor position at the University of Connecticut's ECE Department since 2020. Previously, he served as Associate and Full Professor at the University of Connecticut and held research roles at MIT CSAIL, RSA Laboratories, and Philips Research. PhD in Mathematics (1997, Eindhoven University of Technology) M.S. in Mathematics (Cum Laude, 1993) M.S. in Computer Science (Cum Laude, 1991) His research focuses on foundational computer security problems using cryptographic principles, including secure processor design, oblivious computation, and privacy-preserving machine learning. Notable contributions span Physical Unclonable Functions (PUFs), Aegis secure processor architecture, and oblivious RAM protocols. 15+ publications in 2023-2025 address topics like PUF cryptanalysis, differential privacy in federated learning, and Byzantine fault tolerance Key journals: IEEE Transactions on Computers, Journal of Cryptology, ACM CCS Conference Award highlights include: IEEE Fellow (2022) for secure processor design and encrypted computation IEEE Technical Achievement Award (2023) Intel Test of Time Award (2022) ACM CCS Best Paper (2013) A. Richard Newton Technical Impact Award (2015) His technical leadership spans hardware security (blu-ray error correction codes), cryptographic protocol design, and machine learning privacy frameworks. Current projects focus on secure processors with hardware-enforced isolation and differential privacy optimization.
James Alan Fox is the Lipman Family Professor of Criminology, Law, and Public Policy at Northeastern University's College of Social Sciences and Humanities. As a pioneering criminologist, he has maintained the Associated Press/USA TODAY/Northeastern University Mass Killings Database since 2006, documenting 567 mass killings with 2,944 victims. His work spans serial murder analysis, juvenile crime trends, and firearm policy reform, earning him recognition as one of the top 10 most influential figures in criminal justice over the past 50 years. Holds Lipman Family Chair (1999–present) Co-founded quantitative criminology journal (1985) Testified before Congress over a dozen times Advised President Clinton and Attorneys General Conducted first analytical study of serial/mass murder (1985 book) His research areas focus on mass homicide characteristics , youth violence prevention , and gun law reform . Recent publications examine media contagion effects on mass shootings and statistical models for predicting violence severity. His policy proposals include: 25-year-old gun ownership minimum Banning large-capacity magazines Strengthening local firearm purchase permits Scientific honors include: 2007 Hugo Adam Bedau Award 2008 Klein Lectureship Academic Influence Top 10 ranking While no longer teaching regular classes, Fox remains active through public policy advocacy , NBC News commentary , and leading Boston's 'Unfreedom Trail' historical crime tours. His work has shaped national discourse on gun violence prevention and criminal justice reform.
Tyler Williams is an Associate Professor in the Department of Accounting at Bentley University. His teaching focuses on managerial accounting, ethics, public policy, and auditing, while his research explores auditing regulation, blockchain technology's impact on accounting, and digital assets. He actively contributes to academic and professional service through roles such as Faculty Advisor for Beta Alpha Psi and Committee Member for the Bentley Accounting Advisory Board. Education Doctor of Philosophy in Accountancy, The University of Mississippi Master of Accountancy, The University of Mississippi Bachelor of Accountancy, The University of Mississippi Professor Williams’ research investigates auditing regulation, blockchain’s implications for financial reporting, and the intersection of public policy with accounting practices. His work often addresses how technological and regulatory shifts influence auditor and investor decision-making. Recent publications highlight trends in blockchain adoption, auditing standards, and the application of statistical methods like Benford’s Law to detect reporting anomalies. His scholarly contributions span journals such as Accounting Horizons and Journal of Accounting and Public Policy .
Philipp Chapkovski is a post-doctoral researcher at the University of Duisburg-Essen , affiliated with the Institute of Political Science under the POLITSOLID ERC project. His work bridges Behavioral Economics and Political Science , focusing on experimental studies of market mechanisms, social polarization, and information avoidance. Key research areas include: Experimental Behavioral Economics : Analyzing trading mechanisms, risk preferences, and market efficiency. Polarization and Social Behavior : Studying identity concealment, team dynamics, and affective polarization in workplace and political contexts. His recent articles highlight war’s impact on redistribution preferences , gamification in financial markets , and information avoidance in polarized societies . Funding from German Excellence Strategy and Deutsche Forschungsgemeinschaft supports his work. Collaborations extend to institutions like Yale University and Université Paris-Dauphine .
Oliver Mason is a Professor at Maynooth University's Faculty of Science & Engineering , specializing in Mathematics and Statistics . His academic career includes significant contributions to systems theory, matrix analysis, and data privacy. PhD in Lyapunov Stability Theory (2004, Maynooth University) Prior work in satellite communications and Institute of Technology sector Research Interests : Systems and Control Theory for switched systems with time-delay and uncertainty Matrix Theory including D-stability and diagonal stability Mathematics of Data Privacy with focus on differential privacy Max-Algebra applications in asymptotic behavior analysis Wave Energy Converters (WECs) performance optimization Recent Publications show expertise across Ecological Modeling (2023), Control Theory (2022-2018), Linear Algebra (2018-2015), and Data Privacy (2020-2016). Teaching includes modules like Numerical Analysis, Mathematical Biology, and Computational Tools for Research. Professional Roles : Organizer of Hamilton Institute Workshops, TPC member for multiple international conferences.
Dr. Erik-Jan van Kesteren is an Assistant Professor in the Methodology and Statistics department at Utrecht University , where he leads the ODISSEI Social Data Science (SoDa) team. His work bridges statistical methodology with computational social science, with a focus on synthetic data, Bayesian inference, and open research infrastructure. Current research initiatives include: Developing privacy-preserving synthetic data frameworks Improving computational approaches to structural equation modeling Addressing geospatial sampling bias in volunteer-collected datasets Exploring text-based personality computing and language association tools He maintains the department's compute server infrastructure and contributes to open-source projects like ArtScraper and osmenrich. Contact via e.vankesteren1@uu.nl or erikjanvankesteren@pm.me
