Prof. Dr. Matthias Templ is a Professor at the School of Business, University of Applied Sciences and Arts Northwestern Switzerland. His research focuses on statistical methodologies including robust statistics, data anonymization, compositional data analysis, and missing data imputation. Templ develops computational tools for complex data challenges and contributes to environmental science, data privacy, and statistical education. Research interests include statistical methods for zero-inflated data, synthetic data generation, geochemical balance analysis, and educational curriculum design. His work integrates advanced machine learning techniques with statistical theory to address real-world data challenges. He has published extensively on data visualization and imputation techniques, contributing to open-source statistical software. Templ's research emphasizes practical applications in environmental monitoring, privacy preservation, and data quality assessment.
Vesa Annola is a Visiting Professor at the Faculty of Law, University of Helsinki, specializing in legal research with focus areas spanning contract design, corporate law, and legal interpretation. His work bridges theoretical frameworks with practical applications in business regulation. Research interests center on the intersection of law and communication, particularly exploring how legal constructs are visualized in contracts and interpreted within corporate governance structures. Publications demonstrate consistent engagement with evolving methodologies in legal documentation analysis. Recent articles (2021-2024) examine fundamental aspects of corporate bylaws, visual contract interpretation, strategic business law research, and journalistic legal protections. These contributions show progression toward contemporary issues in legal documentation practices.
Professor Gary Schneider is a faculty member in the College of Business at California State University, Monterey Bay (CSUMB), where he serves as the faculty lead for accounting and financial planning programs. He holds a PhD from the University of Tennessee Knoxville and has an extensive academic profile, including contributions to accounting education, technology integration, and business analytics. His research explores the intersection of accounting practices with emerging technologies like AI and blockchain. Dr. Schneider's expertise spans disciplines such as business analytics, educational technology, and risk analysis. He has authored numerous books and scholarly articles, leveraging platforms like Google Scholar and ResearchGate. His work emphasizes innovative teaching methods, including the use of spreadsheets, database querying, and AI tools in accounting education. Recognized for his contributions, Schneider has received awards such as the Distinguished Visiting Professor at Tecnológico de Monterrey (2013) and Quinnipiac University's Outstanding Faculty Scholar Award (2012). His research has been published in prestigious journals like Issues in Accounting Education and Journal of Information Systems , focusing on topics like internal controls, process management, and technology-driven auditing. He actively collaborates with institutions and professionals to advance accounting standards and educational practices. His professional networks include roles on editorial boards and advisory committees, reflecting his commitment to advancing the field through interdisciplinary research and pedagogy.
Paul C. van Oorschot is a **Professor** at **Carleton University**, specializing in **Computer Security and Cryptography**. His research focuses on authentication systems, network security, privacy, and cybersecurity education. He has authored influential works on TLS interception mechanisms, password authentication schemes, and IoT security best practices. His contributions include cryptographic protocols like Owl PAKE, analyses of authentication systems (e.g., OAuth, SSO), and critiques of cybersecurity education curricula. Key areas of research include: **Privacy in Authentication Systems** (e.g., web SSO privacy differences) **Memory Safety** (e.g., vulnerabilities in C programming) **TLS/SSL Security** (interception mechanisms, protocol analysis) **IoT Security** (critical analysis of best practices) **Cryptographic Protocols** (PAKE, DNSSEC improvements) Publications span top venues like IEEE Security & Privacy, ACM Transactions, and **over 200 peer-reviewed articles** since 1988. He is an active contributor to security education and standardization efforts, emphasizing practical applications and interdisciplinary approaches.
Dr. Zhilei Qiao is an Assistant Professor of Information Systems at the Collat School of Business, University of Alabama at Birmingham (UAB). He holds a Ph.D. in Business Information Technology from Virginia Tech and has over seven years of IT industry experience with global companies like Infosys and DNV. His research focuses on social media analytics, text mining, and product innovation, with applications in healthcare, education, and mobile technology. Dr. Qiao has been recognized with awards such as the Best Research Paper Award at the 2020 Pre-ICIS Workshop SIGDSA and the Best Research Paper Runner-Up Award at the 2015 Business Analytics Congress. His work spans analyzing user-generated content to improve product innovation, examining AI’s impact on education, and studying cybersecurity risks in IoT devices. He has published in journals like the Journal of Management Information Systems and Journal of Computational and Graphical Statistics , and presented at conferences such as HICSS and AOM. Dr. Qiao teaches courses in business analytics, data science, and programming, including Introduction to Business Intelligence and Advanced Business Analytics . Professional activities include editorial roles for journals like Electronic Commerce Research and Applications and service on conference committees for events like AMCIS and CSWIM. His research interests also extend to entrepreneurship, mobile analytics, and the ethical implications of AI in education and healthcare.
Hang Joon Kim is a Professor in the Division of Statistics and Data Science within the Department of Mathematical Sciences at the University of Cincinnati's College of Arts and Sciences. He joined the university in 2015 as an Assistant Professor, was promoted to Associate Professor in 2021, and became a full Professor in 2025. His research spans multiple areas of statistics with applications in various scientific domains. Dr. Kim received his educational training from prestigious institutions: Ph.D. in Statistics from The Ohio State University, Columbus, OH M.S. in Applied Statistics from Yonsei University, Seoul, Korea B.A. in Applied Statistics from Yonsei University, Seoul, Korea B.A. in Business from Yonsei University, Seoul, Korea Dr. Kim's research focuses on advanced statistical methodologies with particular emphasis on Semiparametric Bayesian modeling , Causal inference , Meta analysis , Statistical genomics , Missing data , Survey sampling , Data privacy , and Synthetic data generation . His work bridges theoretical statistics with practical applications in biomedical research, official statistics, and data science. He has developed innovative approaches for handling complex data structures while maintaining statistical rigor and practical utility. His recent publications demonstrate a strong trend toward integrating multiple data sources while addressing privacy concerns. The 15 most recent articles show increasing focus on Bayesian methods for causal inference, synthetic data generation for privacy protection, and statistical approaches for genomic studies, reflecting his leadership at the intersection of statistical theory and real-world applications. Dr. Kim has received numerous prestigious awards and honors: Industrial Service Medal of Honor from the President of the Republic of Korea (Sep 2024) A&S Rising Star Award from the College of Arts and Sciences, University of Cincinnati (Apr 2018) Summer at Census Scholar from the U.S. Census Bureau (June 2017) KISS Career Development Award from the Korean International Statistical Society (Aug 2015) American Statistical Association Student Paper Award (Aug 2012) As an advisor, Dr. Kim has successfully mentored multiple PhD students to completion, with graduates securing academic and industry positions. His current research is supported by significant grants including an NSF-funded project on "Robust and efficient Bayesian inference for misspecified and underspecified models" (2024-2027) and a National Research Foundation of Korea project on "Statistically synthetic data generation" (2025-2028). He has served as PI on multiple substantial research projects totaling over $400,000 in funding. Dr. Kim leads research efforts in statistical methodology development, particularly in Bayesian modeling and data privacy. He has developed several R packages including synMicrodata for synthetic data generation, GGPA for genomic analysis, clusterMI for clustering with missing data, and DPImputeCont for imputation of continuous data. His work has practical applications in official statistics, biomedical research, and data science.
Dr. Vishesh Karwa is an Assistant Professor of Statistical Science at Temple University's Fox School of Business and Management, Department of Statistics, Operations, and Data Science. He previously held postdoctoral positions at Harvard University and Carnegie Mellon University, and was affiliated with The Ohio State University. His research focuses on data privacy, causal inference under network interference, social network models, algebraic statistics, computational methods for intractable likelihoods, and applications of NLP to semantic search. Education: PhD in Statistics, The Pennsylvania State University Master of Science in Transportation Engineering, The Pennsylvania State University Bachelor of Technology in Civil and Environmental Engineering, Indian Institute of Technology His research interests include differential privacy, causal inference methodologies in complex networked systems, and algebraic approaches to statistical modeling. Recent work emphasizes privacy-preserving techniques for social network data and computational advances in analyzing high-dimensional datasets. He has contributed to foundational topics in exponential random graph models and Monte Carlo methods for stochastic blockmodels. Dr. Karwa teaches courses in statistical learning, data mining, and experimental design at both undergraduate and graduate levels. His interdisciplinary projects bridge theory and application, including collaborations on genomic data privacy and semantic search systems. His research has been supported by grants such as the TRIPODS+ Collaborative Research on Privacy-Preserving Genomic Data Analysis. He actively explores the intersection of statistical methodology and modern challenges in data privacy, network analysis, and computational statistics.
Dr. Ron Poet is an Honorary Lecturer at the University of Glasgow's School of Computing Science. His research focuses on computer security, privacy policies in mobile applications, and graphical authentication systems. He investigates Android runtime permissions, identity management protocols, and federated security frameworks. His work spans mobile security, privacy compliance, and human-computer interaction in authentication systems. Recent publications analyze privacy policies of cloud storage applications and explore user behavior in permission disclosure decisions. Research demonstrates consistent focus on balancing security requirements with usability considerations. Dr. Poet collaborates internationally on security frameworks and has contributed to understanding graphical password systems through empirical usability studies. His technical approach frequently incorporates formal verification methods for identity management protocols and practical analysis of mobile ecosystem vulnerabilities.
Nadia N. Sawicki is the Georgia Reithal Professor of Law and Co-Chair of the Beazley Institute for Health Law & Policy at Loyola University Chicago School of Law. She specializes in health law, bioethics, and torts, focusing on issues like informed consent, patient rights, and conscientious objection in healthcare. Her work addresses the intersection of legal frameworks and ethical practices in medicine. Education: BA (magna cum laude) from Brown University; M. Bioethics from University of Pennsylvania; JD (cum laude) from University of Pennsylvania Law School Research interests include reproductive rights, end-of-life care, and the role of conscience protections for healthcare providers. She has written extensively on topics like abortion access, medical malpractice liability, and the ethical implications of compelled physician speech. Her recent articles analyze the post-Dobbs legal landscape for pregnant patients’ autonomy and the ethical dimensions of medical practice. She has been recognized as a member of the American Law Institute and previously served on national bioethics committees.
Elijah Edelman is an Associate Professor in the Department of Anthropology at Rhode Island College. His work focuses on transgender and gender non-conforming communities, particularly examining how these communities navigate politics of racialization, pathologization, and recuperation. Dr. Edelman's research takes an ethnographic and community-based approach, addressing the personal, socio-political, legal, economic, and health implications of gender transgression and sexuality among transgender and LGBT communities of color within the United States and the global south. His methodology emphasizes accessible publications with research communities through blog posts, community forums, films, and other media. Ph.D., The American University B.A., University of North Carolina-Greensboro His research interests span Gender Studies, Transgender Studies, Queer Studies, Community-Based Research, and Radical Cartography. Edelman extends non-traditional academic work into the classroom, encouraging students to utilize mixed media in expression and research, including graphic novels, 'Zines,' and community map-making. His publications reveal consistent focus on trans community organizing, spatial analysis of trans experiences, racial justice implications, health access challenges, and innovative methodologies for studying gender non-conformity. His book 'Trans Vitalities' offers a framework for understanding trans coalition building and social justice work, particularly in Washington, DC. Dr. Edelman's work demonstrates strong commitment to community-engaged scholarship that bridges academic research with practical applications for trans social justice movements.
Dr Marco Battiston is a Lecturer (equivalent to Assistant Professor) in Statistics at Lancaster University, UK, based in the School of Mathematical Sciences. His research integrates Bayesian non-parametric methods with machine learning, privacy, and modern data-science challenges. Research Interests Bayesian non-parametric statistics and prior construction Statistical machine learning and graphical models Privacy-preserving data analysis and differential privacy Feature allocation, missing mass, and species sampling Variable selection in high-dimensional regression Across 12 peer-reviewed papers (2017–2025) he has advanced theory and methodology for stochastic block models, disclosure risk assessment, robust variable selection and the estimation of small probabilities in feature-sampling settings. His work appears in top outlets such as Journal of Computational and Graphical Statistics , Statistics and Computing , JMLR , and Annals of Applied Probability . PhD Supervision & Collaboration Battiston is actively supervising doctoral researchers (names not disclosed in the source material) and collaborates with international scholars including F. Ayed, C. Nemeth, S. Favaro, Y. W. Teh, and L. Rimella. Contact Email: m.battiston@lancaster.ac.uk Tel: +44 1524 592850 Office: Fylde College, Lancaster University, LA1 4YF, UK ORCID: 0000-0003-0954-1244
Domenico Lembo is a Full Professor at Sapienza University of Rome, affiliated with the Department of Computer, Automatic and Management Engineering. He is a leading figure in Knowledge Representation and Reasoning, focusing on Description Logics, Semantic Web, and Ontology-Based Data Access (OBDA). His research spans information integration, inconsistency-tolerance, and controlled query evaluation, with significant contributions to theoretical and applied data management. Academic Roles: Full Professor (since 2004), Program Committee Chair for major AI/DB conferences (IJCAI, AAAI, ISWC), Co-founder of OBDA Systems startup Leadership: Head of CAIRNE Rome Office (since 2023), General Chair of SEBD 2025, Vice-President of RR Conference Steering Committee Research Interests: Lembo's work bridges Description Logics with database theory, enabling efficient query answering over inconsistent data. He pioneered DL-Lite framework for tractable ontologies, developed tools like MASTRO and Graphol for visual ontology modeling, and advanced controlled query evaluation with epistemic policies for privacy-preserving systems. Awards: 2021 AAAI Classic Paper Award for DL-Lite 2024 IJCAI Distinguished Paper Award 2020 ISWC Best Poster/Demo Award Exceptional Guest Editor, Semantic Web Journal (2014) Teaching: He teaches courses on databases, data science, and computer science fundamentals. Currently coordinating 'Fondamenti di Programmazione I' and 'Data Management for Data Science', with extensive experience in course design and educational innovation.
Tiffiny L. Sia serves as a Professor of Psychology at Texas Lutheran University, where she maintains an active research program focused on social and cognitive psychology. Her work bridges theoretical frameworks with real-world applications through extensive student collaboration. Education: Ph.D. in Experimental Psychology with Social emphasis, Texas Christian University (1996) M.S. in Experimental Psychology with Social emphasis, Texas Christian University (1993) B.A. in Psychology; Philosophy minor, Linfield College (1990) Her research program examines interpersonal dynamics through innovative lenses including digital interactions, racial/gender perceptions, and cognitive processing. Current investigations analyze relationship formation patterns across diverse couple types, technology adoption across age groups, and stereotype activation in virtual environments. Methodologically, she employs experimental designs, survey research, and creative interventions like comics-based education. Analysis of her scholarly output reveals consistent focus on social cognition in digital contexts, with publications spanning 2010-2014 examining Chat Roulette interactions, Craigslist communications, and racial/gender bias in relationship perceptions. Her work demonstrates strong commitment to undergraduate research mentorship through collaborative conference presentations. Scientific Recognition: Faculty Development Grant (Spring 2014) Faculty/Student Summer Research Grant (Summer 2014) Center for Teaching and Research Pedagogy Grant (Summer 2014) Instructional/Course Development Grant (Summer 2014) Professor Sia maintains an extensive advising record with over 25 undergraduate researchers across multiple projects. Her grant portfolio includes pedagogical innovation funding for developing Social Entrepreneurship concentrations and examining high-impact research pedagogy. Current projects focus on technology assimilation across generations and creative sex education interventions.
Timothy Johnson is the Karl and Louise Schewe Professor of Finance at the Gies College of Business, University of Illinois Urbana-Champaign. His research focuses on market liquidity, risk dynamics, and corporate finance, with notable contributions to understanding climate risk pricing, sovereign debt hedging, and economic uncertainty effects. He holds a prominent faculty position and maintains an active presence through Google Scholar and a personal website. Research interests include analyzing financial markets' structural characteristics, such as liquidity dynamics in government bonds and the real-world implications of corporate debt management. His work bridges theoretical finance with practical applications, addressing topics like index options exposures and inflexibility impacts on stock returns. Publications span interdisciplinary areas like public health (e.g., unintended pregnancy studies) and computer science (e.g., CUDA-based image processing), reflecting a diverse intellectual engagement. Though no specific awards are listed, his academic standing suggests recognition in financial academia. He advises no listed students but maintains a strong research output with collaborations across disciplines. His professional profile includes affiliations with the Gies College of Business and active participation in academic networks. Office details and contact information are publicly available, emphasizing accessibility to colleagues and students.
Marleah Dean Kruzel is an Associate Professor in the Department of Communication at the University of South Florida (USF), part of the College of Arts and Sciences. She is also a Collaborator Member in the Health Outcomes & Behavior Program at the Moffitt Cancer Center and a member of the Tampa General Cancer Institute. Her research focuses on cancer communication, inherited cancer risk, and patient-clinician interactions, with a particular emphasis on previvors—individuals with inherited gene mutations who have not been diagnosed with cancer. Dr. Kruzel’s work aims to improve health outcomes through patient-centered communication tools and patient engagement. Education: PhD in Health Communication from Texas A&M University (2014), MA in Culture and Health Communication from the University of New Mexico (2011), BA in Interpersonal Communication from Michigan State University (2009). Her research has been funded by the National Cancer Institute, American Cancer Society, CDC, and PCORI. Research Interests span health communication, patient-clinician interaction, cancer communication, health decision making, and inherited cancer risk. She has published extensively in journals like Genetics in Medicine and Patient Education & Counseling, co-edited the Wiley International Encyclopedia of Health Communication, and contributed to public scholarship through blogs, podcasts, and videos. Grants and Awards include the 2023 NCA Health Communication Division Distinguished Article Award, 2020 USF Faculty Outstanding Research Achievement Award, and numerous teaching and research awards. She has led or co-investigated over $10 million in externally funded research projects. Teaching and Mentoring: Teaches courses in health communication, patient-provider communication, and applied communication research. Advises graduate students in communication and genetic counseling programs at USF, mentoring over 20 students in recent years. Labs/Teams: Active in interdisciplinary collaborations, including the Health Outcomes & Behavior Program at Moffitt and the ABOUT Network for hereditary cancer research.
