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Con ChrisoulisView profile

Senior Lecturer

• Graphic Biography
• Comics and Sequential Art
• Visual Storytelling
• +12 more

Con Chrisoulis is a Senior Lecturer in Commercial Art & Illustration at the School of Arts and Creative Industries, Teesside University. He is an accomplished academic and graphic novelist with over two decades of professional experience, merging artistic practice with historical, ethnographical, and sociological research methodologies. His work centers on the innovative use of comics as a medium for biographical and cultural storytelling. His research interests lie at the intersection of visual arts, biography, and cultural history. Using tools from ethnography and sociology, Chrisoulis reconstructs historical narratives through sequential art, particularly in the form of graphic biographies. His primary focus includes the lives of cultural icons such as David Bowie, Jack Kirby, and Morrissey, as well as personal family histories like those explored in Dryland . He actively experiments with digital formats, publishing his works as webcomics before print release. The trends in his recent publications reflect a deep engagement with music history, British comics culture, and visual storytelling. His works consistently explore themes of identity, legacy, and cultural memory, primarily through the lens of graphic biography and autobiographical illustration. The sequential art format allows him to blend factual research with creative expression, making complex narratives accessible and visually compelling. Postgraduate Certificate in Learning and Teaching in Higher Education (PgCLTHE), Teesside University (2020) Master of Research (MRes) in Arts and Cultural Research, University of Brighton (2015) BA (Hons) Graphic Design, University of Brighton (2014) ISCED Level 4 in Film Editing, IEK Haidariou (2010) Chrisoulis has made significant contributions to academic and public discourse through his publications and media appearances. He has been featured in international media outlets such as ITV News, MTV, and HiLobrow, discussing both his creative process and broader topics in comics culture. He has also contributed to academic conferences and peer-reviewed publications, particularly on the methodology behind his graphic biographies. While no formal grants or awards are listed, his sustained output and public engagement demonstrate a strong research profile. He is actively involved in creative and scholarly communities, often discussing the role of comics in education and historical representation. His work bridges the gap between academic research and public-facing art, making him a key figure in the evolving field of visual biography and digital storytelling.

Eric MillerView profile

Professor

• Signal and Image Processing
• Tomographic Image Formation
• Inverse Problems
• +4 more

Eric Miller is a Professor of Electrical and Computer Engineering at Tufts University's School of Engineering. He also holds adjunct professorships in Computer Science, Biomedical Engineering, and Mathematics. His academic roles include serving as Chair of the Electrical and Computer Engineering department and leading the Lab for Imaging Science Research (LaISR). Miller earned his SB, SM, and PhD in Electrical Engineering from MIT (1990–1994). His research focuses on signal and image processing, particularly inverse problems, tomographic imaging, and applications in medical imaging, environmental monitoring, and security screening. He has pioneered methods like the parametric level-sets (PaLEnTIR) for reconstruction and shape-based inversion algorithms. His work integrates physics-based modeling with computational techniques, addressing challenges in subsurface sensing, biomedical diagnostics, and materials science. Miller is a Fellow of IEEE and a member of honor societies like Tau Beta Pi and Phi Beta Kappa. Over 489 publications reflect his contributions to imaging science, with recent advancements in AI-driven pedestrian behavior analysis and X-ray anomaly detection.

• Integrated Sustainability
• Sustainable Decision Making
• Behavioral Game Theory
• +5 more

Dr. Poonam Arora serves as Associate Dean of Faculty Affairs and Strategic Initiatives and Professor of Management at Quinnipiac University's School of Business. With extensive leadership in faculty development, strategic initiatives, and global business education, she spearheads AACSB and MSCHE accreditation efforts while directing sponsored research programs that bridge academic theory and practical application. Education: BBA summa cum laude in Business Economics from John Cabot University, Rome MBA from Kellogg School of Management, Northwestern University Ph.D. in Psychology from Columbia University (NSF Graduate Fellow) Arora's research pioneers integrated sustainability frameworks examining how multi-motive, interdependent human decisions create economic, environmental, and social outcomes across generations. She employs game theory, lab/online experiments, agent-based modeling, and qualitative fieldwork to address sustainability dilemmas where short-term rational actions create long-term burdens. Her work uniquely bridges organizational behavior, environmental psychology, and climate science to develop practical decision-making tools for complex systems. Analysis of her 15 most recent publications reveals dominant themes in sustainability framework development (40%), Argentine agricultural systems (30%), and behavioral decision theory (30%). Her work consistently applies interdisciplinary methods to real-world sustainability challenges, with recurring geographic focus on the Argentine Pampas and tropical forest regions, demonstrating how localized field studies inform global sustainability principles. Scientific Awards: NSF Graduate Research Fellowship Arora has secured National Science Foundation research funding for sustainability projects and leads strategic initiatives fostering faculty excellence. Her operational leadership includes guiding accreditation processes while developing interdisciplinary innovations in global business education. She maintains an active research agenda through affiliation with Columbia University's Advanced Consortium for Cooperation, Conflict, and Complexity at the Climate School. Her leadership integrates academic rigor with practical industry experience from McKinsey & Company consulting and Citibank investment banking roles, creating unique value in connecting theoretical research with business applications. Current initiatives focus on faculty development programs and strategic partnerships advancing sustainability education across business disciplines.

Lan LiView profile

Professor

• Educational Technology
• Teacher Education
• Online Learning
• +3 more

Lan Li, Ph.D., serves as Professor and Classroom Technology Program and Endorsement Coordinator at Bowling Green State University's School of Inclusive Teacher Education within the College of Education & Human Development. Based in Education Building 521, she teaches undergraduate and graduate courses focused on technology integration across K-12 educational contexts. Her academic credentials include: Ph.D. from University of Nebraska-Lincoln M.S. from University of Nebraska-Kearney B.A. from ChongQing University Dr. Li's research centers on technology-facilitated teaching , teacher preparation , and online education , with emphasis on peer assessment systems and digital tool implementation. Her work investigates how anonymity affects feedback quality, how structured assessment models enhance learning outcomes, and how digital-native teachers adopt classroom technology through microblogging and Web 2.0 platforms. Analysis of her publication history (2010-2015) reveals consistent focus on peer assessment dynamics across achievement levels, with significant contributions to understanding assessor/assessee role interactions in technology-mediated environments. Her research frequently employs mixed-methods approaches to examine real-world classroom technology integration. Dr. Li actively contributes to academic discourse as reviewer for the British Journal of Educational Technology and Journal of Educational Technology & Society , while serving on scientific committees for international publication series. Her teaching portfolio demonstrates extensive mentorship in technology leadership development through courses like EDTL 6320 and EDTL 6800.

Katherine M. KinnairdView profile

Associate Professor

• Machine Learning
• Mathematics
• Cultural Analytics
• +8 more

Katherine M. Kinnaird is an Associate Professor of Computer Science and Statistical & Data Sciences at Smith College, where she chairs the Department of Computer Science. Her research focuses on developing domain-neutral methodologies for representing high-dimensional sequential data in low-dimensional spaces, with applications in music information retrieval, biology, literature, and health care. Education Ph.D. in Mathematics, Dartmouth College (2014) A.M. in Mathematics, Dartmouth College (2010) A.B. in Mathematics, Wellesley College (2008) Her work spans computational approaches to music structure analysis, text analysis, and data science education. Peer-reviewed publications include ISMIR 2016, ISMIR 2017, ISMIR 2019, and TISMIR 2021 papers, emphasizing multi-scale representations, similarity thresholds, and reproducibility in computational music research. Scientific Awards NSF GK-12 Fellowship (2013-2014) Dartmouth Graduate Teaching Award (2013) Dartmouth Graduate Community Service Award (2011) Project NExT Fellow (MAA Red '15 Cohort) Kinnaird founded the Data Science TRAIn Lab to train undergraduates in STEM research and has co-organized initiatives like the Women in Machine Learning (WiML) Workshop (2013) and Women in Music Information Retrieval (WiMIR, 2018). Her teaching philosophy emphasizes active learning and collaborative environments.

• Political Economy
• Microeconomics
• Public Economics
• +2 more

Orestis Troumpounis is a Full Professor at the Department of Economics , Ca' Foscari University of Venice. He serves as the Departmental Delegate for Internationalization/EUTOPIA , contributing to institutional development and international collaboration initiatives. Research Interests: His work focuses on Political Economy , Microeconomics , and Public Choice , with particular emphasis on electoral systems, strategic voting, collective contests, and institutional design. His studies analyze how rules and asymmetries affect political polarization, intraparty cohesion, and policy outcomes. Recent Publications Trends: His 2024 research explores electoral institutions and police militarization, while earlier works examine coalition coordination, technological impacts on polarization, and contest theory mechanisms. Affiliations & Teaching: He teaches courses in Industrial Organization and Microeconomics to undergraduate and master’s students in Economics and Business programs.

Lihua LeiView profile

Assistant Professor

• High Dimensional Statistical Inference
• Causal Inference
• Econometrics
• +4 more

Lihua Lei is an Assistant Professor of Economics at Stanford Graduate School of Business (GSB) and holds a courtesy appointment in the Department of Statistics at Stanford University. He earned his Ph.D. in Statistics from UC Berkeley (2019) under advisors Peter Bickel and Michael Jordan, followed by postdoctoral work at Stanford's Statistics Department with Emmanuel Candès. Current affiliations: Stanford GSB, Department of Statistics, and Institute for Economic Policy Research (SIEPR) Previous training: UC Berkeley (Ph.D.), Carnegie Mellon University (undergraduate) His research spans causal inference, conformal inference, and high-dimensional statistics, with a focus on methodology development and theoretical guarantees. Key contributions include adaptive false discovery rate control and conformal prediction frameworks. Recent publications appear in Annals of Statistics , Journal of the Royal Statistical Society , and SIAM Journal on Optimization . Collaborators include prominent researchers like Emmanuel Candès, Michael Jordan, and Peter Bickel. He has received teaching awards as Graduate Student Instructor and develops R packages for methodological implementations including adaptMT and mkn .

Quan Nha HongView profile

Assistant Professor

• Work rehabilitation
• Teleworking
• Mixed methods
• +5 more

Dr. Quan Nha Hong is an Assistant Professor at the School of Rehabilitation, University of Montreal, affiliated with the Interdisciplinary Research Centre in Rehabilitation (CRIR) and the University Institute for Rehabilitation in Physical Disabilities of Montreal (IURDPM). Her research integrates rehabilitation science, health technology assessment, and evidence synthesis methodologies to address contemporary challenges in occupational health and healthcare delivery. Education B.Sc. Occupational Therapy, University of Montreal (1999) M.Sc. Clinical Sciences, University of Sherbrooke (2001) M.Sc. Evaluation and Management of Health Technologies, University of Montreal (2010) Ph.D. Family Medicine and Primary Care, McGill University (2018) Post-doctorate, Evidence for Policy and Practice, University College London & National Institute of Excellence in Health and Social Services (2018-2020) Research Focus Her interdisciplinary research program spans: Work rehabilitation : Investigating teleworking impacts on musculoskeletal health Evidence synthesis : Developing rapid review methodologies for health crises Implementation science : Evaluating occupational therapy programs in primary care Methodological innovation : Enhancing critical appraisal tools and mixed-methods approaches Publication Trends Her recent scholarship demonstrates consistent focus on advancing systematic review methodologies, particularly through mixed-methods designs. Key themes include critical appraisal tool development, evidence synthesis frameworks, and applications in occupational rehabilitation. Publications frequently appear in high-impact methodology and rehabilitation journals, reflecting strong interdisciplinary engagement. Affiliations She conducts research through CRIR's rehabilitation network and collaborates with international institutions including University College London and INESSS. Current projects examine telework-related disability and evidence-informed decision-making systems in healthcare.

• Design for Testability
• Automatic Test Pattern Generation
• Electronic Design Automation
• +3 more

Haluk Konuk is a Visiting Professor at the Faculty of Engineering, Özyeğin University. With a PhD in Electrical Engineering from the University of California, Santa Cruz (1996), he specializes in VLSI testing, Design for Testability, and Electronic Design Automation. He worked at Hewlett-Packard/Agilent Technologies and Broadcom Corporation for over 25 years, contributing to the development of critical internet infrastructure ASICs and processors. Since 2021, he has founded Palo Alto Test Technologies, focusing on advanced testing solutions. PhD in Electrical Engineering, University of California, Santa Cruz (1996) MS in Electrical Engineering, Case Western Reserve University (1989) BS in Electrical & Electronics Engineering, Boğaziçi University (1986) His research focuses on Design for Testability (DFT), Automatic Test Pattern Generation (ATPG), and Electronic Design Automation (EDA), addressing challenges in VLSI and CMOS circuit testing. His work includes modeling open-defects, fault simulation, and optimizing test efficiency for digital circuits. Haluk Konuk's publications span test compression, delay fault testing, and fault modeling, reflecting his long-term contributions to VLSI test methodologies. He holds 9 U.S. patents and has served on IEEE conference program committees. Fulbright Scholarship 9 U.S. Patents in VLSI Test Technology

Guo XunhuaView profile

Professor

• Management Information Systems
• E-commerce
• Social Networks
• +4 more

Guo Xunhua is a Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management. He serves as Party Branch Secretary and holds significant leadership roles including Executive Director and Secretary-General of the China National Association for Information Technology (CNAIS), Vice President of the China Society of Information Economics, and Secretary-General of the Information Management Committee of the China Management Modernization Research Association. His educational background includes dual bachelor's degrees in Management Information Systems and Computer Science and Technology from Tsinghua University (2000), followed by master's and doctoral degrees in Management Science and Engineering from the same institution (2005). He has been teaching at Tsinghua since 2005 and maintains international academic connections through visiting positions at RWTH Aachen University and MIT Sloan School of Management. Guo's research spans Management Information Systems, E-commerce, Social Networks, and Business Intelligence, with a focus on business intelligence methods in internet environments and behavioral patterns under emerging information technologies. His work integrates both 'technology' and 'behavior' perspectives within information systems research. His recent publications reveal a strong trend toward AI applications in e-commerce, personalized recommendation systems, social commerce dynamics, and the psychological aspects of digital interactions. Ministry of Education Changjiang Scholar Young Scholar (2019) Ministry of Education Outstanding Achievement Award for Scientific Research in Humanities and Social Sciences Beijing Philosophical and Social Sciences Outstanding Achievement Award Beijing Higher Education Teaching Achievement Award Multiple Tsinghua University Teaching Achievement Awards Professor Guo serves as Assistant Editor-in-Chief of the Journal of Information Systems and sits on editorial boards for international journals including Information Technology & People, Electronic Commerce Research, and Journal of Global Information Management. His teaching portfolio includes graduate courses in IT and Organization, and undergraduate courses in Principles of Computer Systems, Management Information Systems, and Introduction to Management Science and Engineering Research.

• Statistical Power Analysis
• Optimal Experimental Design
• Multilevel Data Analysis
• +4 more

Mirjam Moerbeek is an Associate Professor at the Department of Methodology and Statistics , Faculty of Social and Behavioural Sciences , Utrecht University , Netherlands. She holds a PhD in Applied Statistics (Maastricht University, 2000) and a MSc in Biometrics (Wageningen Agricultural University, 1996). Her work focuses on statistical power analysis and optimal experimental design for hierarchical and survival data , with over 100 peer-reviewed publications. Education MSc in Biometrics (cum laude), Wageningen Agricultural University (1996) PhD in Statistics, Maastricht University (2000) Research Focus Statistical power analysis Optimal design theory Multilevel modeling Survival analysis Cluster randomized trials Stepped-wedge trials Recent Publications Bayesian sample size determination for longitudinal studies Optimal group sizes in Bayes factor analysis Robustness in cluster randomized trials Cost-efficient designs for social and biomedical sciences Scientific Awards NWO Veni Grant (2003) NWO Vidi Grant (2008) NWO Open Competition Grants (2006, 2022) Ius Promovendi (2023) Organizational Roles President, European Association of Methodology (2023–2025) Vice President, European Association of Methodology (2021–2023) Co-Organizer, International Conference on Multilevel Analysis (2009–2022) Chair, VI European Congress of Methodology (2014) Editorial & Review Activities Editorial Board, PLOS ONE (2014–2017) Peer Reviewer, Tijdschrift voor Psychiatrie Scientific Committee, European Congress of Methodology Consultant for multilevel analysis software

Wolfgang WörndlView profile

Professor

• Interactive Recommender Systems
• Mobile Computing
• Tourism Recommender Systems
• +5 more

Dr. Wolfgang Wörndl is a Professor at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology (CIT) and the Chair of Connected Mobility. His research focuses on interactive recommender systems in mobile scenarios, particularly in tourism applications. Wörndl's research interests span interactive recommender systems, mobile computing, tourism recommender systems, sustainable city trips, and user interaction design. His work addresses challenges in personalization, sustainability, and user experience in mobile recommendation contexts. He has made significant contributions to understanding how to design recommender systems that balance user preferences with environmental considerations in tourism contexts, with recent publications demonstrating a strong focus on sustainable tourism through integration of CO2 emissions, popularity metrics, and seasonal variations into recommendation algorithms. Wörndl actively contributes to the academic community as Workshop & Tutorial Co-Chair for ACM UMAP 2025, Co-Chair for the ACM Europe School on Recommender Systems 2025, and Co-Organizer for multiple workshops including the Workshop on Recommenders in Tourism (RecTour) at ACM RecSys 2025. Best/Outstanding Reviewer at ACM RecSys multiple times As an educator, Wörndl teaches courses including Connected Mobility Basics, Edge Computing and the Internet of Things, and Seminar Human-Centered Recommender Systems. He mentors students through thesis projects focused on user interaction with responsible recommender systems, hybrid user interfaces with agentic AI for travel destination recommendation, and privacy in group recommender systems. His research bridges technical innovation with practical user experience considerations, with several implemented systems including the Green Destination Recommender web application that encourages responsible city trip recommendations through thoughtful interface design.

Philip LavoriView profile

Professor

• Biostatistics
• Clinical Trials Design
• Translational Medicine
• +3 more

Philip Lavori is a Professor at Stanford University with primary appointments in the Department of Health Research and Policy and Biostatistics, and a courtesy appointment in the Department of Statistics. He earned a PhD in Mathematics from Cornell University in 1974 and has been on Stanford's faculty since 1992, after prior roles at MIT, Harvard, and Brown. Educational Background: PhD in Mathematics, Cornell University (1974) His research focuses on innovative clinical trials design, including seamless phase II-III trials, biomarker-guided treatments, point-of-care randomization for comparative effectiveness research, and sequential multiple assignment randomized trials (SMARTs) for adaptive treatment strategies. He directs the Biostatistics Core of the Stanford Cancer Center, chairs the Department of Health Research and Policy, and co-directs Spectrum, Stanford's Clinical and Translational Sciences Award. Contact: lavori@stanford.edu

• Applied Economics
• Sustainability and Triple Bottom Line
• Business-to-Business Marketing & Supply-Chain Relationships
• +4 more

Maria Carmen Padin Fabeiro is a contracted full-time Assistant Professor (Doctor) of Applied Economics at the University of Vigo , where she is affiliated with the Faculty of Commerce and the HI8 ERENEA Research Group on the Economics of Natural and Environmental Resources. Based on the Vigo campus, she has built a prolific research portfolio that bridges economics, marketing, sustainability and tourism studies. Education Ph.D. in Applied Economics, University of Vigo, 2004 Thesis: “Local Endogenous Development: Study of Tourist Activity as a Form of Resource Utilisation – Application to the Case of Baixo Miño” (supervised by Dr. Julio José Pardellas de Blas) Research Interests Padin Fabeiro’s research agenda is organised around three tightly interwoven pillars: Sustainability & Triple Bottom Line: development of frameworks and indices to measure and report sustainable business practices across industries and supply-chain networks. Business-to-Business Marketing & Supply-Chain Relationships: investigation of satisfaction, trust, commitment, conflict and opportunism in long-term manufacturer–supplier relationships. Tourism Economics & Cross-Border Development: economic analysis of tourism as an engine for local endogenous growth, with particular attention to Galicia–Northern Portugal cross-border cooperation. Methodologically, she favours large-scale survey designs, structural equation modelling (PLS-SEM), and comparative case studies that integrate quantitative and qualitative insights. Publication Trends Her 60+ peer-reviewed outputs (2013-2025) reveal a clear evolution from foundational tourism-development studies to sophisticated B2B relationship-quality models and, most recently, to sustainability-oriented health-policy analytics. A recurring pattern is the fusion of economic variables with behavioural constructs such as trust, commitment and satisfaction, applied to contexts ranging from aquaponics systems to COVID-19 policy planning. Scientific Awards No specific awards, fellowships or medals are mentioned in the provided sources. Research Group & Collaborations She is an active member of the HI8 ERENEA Research Group (Economics of Natural and Environmental Resources), where she collaborates on projects that evaluate sustainable business models, stakeholder engagement and cross-border tourism strategies in the Galicia–Northern Portugal Euro-region. Contact Email: padin@uvigo.es

• Pharmacoepidemiology
• Comparative Effectiveness Research
• Real-World Evidence
• +5 more

Sebastian Schneeweiss is Professor of Medicine and Epidemiology at Harvard Medical School and Harvard T.H. Chan School of Public Health, and Chief of the Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women's Hospital. His work focuses on the comparative effectiveness and safety of biopharmaceuticals using complex healthcare databases, with particular emphasis on methodological innovations for real-world evidence generation. Dr. Schneeweiss received his medical training at the University of Munich Medical School and his doctoral degree from Harvard. He teaches advanced courses including Database Analytics for Pharmacoepidemiology (EPI286) and Effectiveness Research in Longitudinal Healthcare Databases (EPI253) at Harvard, training the next generation of researchers in cutting-edge methods for healthcare data analysis. His research program is funded by multiple NIH, PCORI, BWF, and FDA grants, focusing on developing and applying analytic methods to improve the scientific validity of epidemiologic analyses using complex longitudinal healthcare databases. His work spans multiple therapeutic areas including cardiovascular medicine, oncology, dermatology, and respiratory diseases, with a consistent emphasis on rapid-cycle analytics for medication safety monitoring and comparative effectiveness research. Dr. Schneeweiss's recent publications (2024-2025) demonstrate strong trends toward methodological innovation in trial emulation, calibration of real-world evidence against randomized trials, and the application of advanced analytics including natural language processing to healthcare databases. His work is increasingly focused on creating standardized frameworks for using real-world evidence to support regulatory decision-making globally. Fellow of the American College of Epidemiology Fellow of the American College of Clinical Pharmacology Fellow of the International Society for Pharmacoepidemiology Past President of the International Society for Pharmacoepidemiology As Principal Investigator on multiple large-scale grants, Dr. Schneeweiss leads the FDA-funded Sentinel Innovation Center and serves as a voting consultant to the FDA Drug Safety and Risk Management Advisory Committee. As co-founder and Science Advisor of Aetion Inc., he develops rapid-cycle analytics platforms for healthcare database networks worldwide. His research group mentors numerous students and postdoctoral fellows working at the intersection of epidemiology, biostatistics, and healthcare data science. The Division of Pharmacoepidemiology and Pharmacoeconomics at Brigham and Women's Hospital, which he leads, serves as a world-leading research and training center that collaborates with the FDA, pharmaceutical companies, and international research networks to advance methods for using real-world data in regulatory and clinical decision-making.