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Catherine D. RawnView profile

Professor

• Educational Leadership
• Scholarship of Teaching and Learning (SoTL)
• Undergraduate Education
• +3 more

Roles & Affiliations: Catherine D. Rawn is a Professor of Teaching in the Psychology Department at the University of British Columbia (since 2019), with tenure as a Senior Instructor. She also serves as a Senator for UBC Vancouver (2023–2025), Chair of the Senate Curriculum Committee, and Associate Head of Undergraduate Affairs in the Psychology Department. Her academic career spans over 15 years, including roles as an Instructor, Sessional Instructor, and Provost Office Fellow in Online Learning. Education: PhD (2009) in Social/Personality Psychology, UBC MA (2005) in Social/Personality Psychology, UBC BA (Honours) (2003) in Psychology, University of Waterloo Research Interests: Dr. Rawn focuses on educational leadership, curriculum design, and the Scholarship of Teaching and Learning (SoTL). She emphasizes innovative pedagogical strategies (e.g., peer assessment, active learning), equity in education, and fostering inclusive teaching practices. Her work bridges psychology and pedagogy, particularly in large-class environments and the transition of students to academic roles. Awards & Recognition: 2024 SoTL Canada Poster Award (with M. Dammert & J. Woo) 2017 Jane S. Halonen Teaching Excellence Award (Early Career) 2015 Killam Teaching Prize ($5000) 2014 Robert E. Knox Master Teacher Award Grants & Contributions: Recipient of multiple UBC Teaching and Learning Enhancement Fund grants (e.g., PSYC 217 Research Methods renewal, peer assessment initiatives) Contributor to textbook projects, including Methods in Behavioural Research (3rd Canadian Ed.) and Strategies for Teaching Large Classes Effectively Leader in curriculum reform, including UBC’s Psychology Department program outcomes and pandemic-era teaching adaptations Labs & Teams: Co-founder and Steering Committee member of the UBC Instructor Network. Active in faculty development initiatives, including the International Faculty Development Program for Teaching Excellence and the Institute for the Scholarship of Teaching and Learning (SoTL).

• Music Information Retrieval
• Machine Learning
• Audio Signal Processing
• +3 more

Alicja Wieczorkowska is a Professor affiliated with the University of Gdańsk, specializing in Music Information Retrieval, Machine Learning, and Audio Signal Processing. She has edited multiple books and special issues in journals like Sensors and Springer's Studies in Computational Intelligence series. Her research focuses on audio processing applications in healthcare, music recommendation systems, and environmental monitoring. Education Background: Not explicitly stated in text. Research Interests: Development of audio and image sensing techniques for healthcare and environmental applications Machine learning models for music and speech analysis Data mining and pattern recognition in polyphonic audio Interpretable models for medical survival analysis Recent Research Trends: Her recent work emphasizes practical applications of machine learning in music recommendation systems, medical diagnostics (e.g., liver transplantation prognosis), and environmental pollen monitoring through image processing. She has pioneered methods for audio-based vehicle speed detection and pipe organ acoustics modeling. Labs/Teams: Actively collaborates with interdisciplinary teams including computer scientists, medical researchers, and acoustic engineers. Key collaborators include Z.W. Ras, E. Kubera, and M. Klec.

Yunjie YangView profile

Senior Lecturer

• AI-powered sensing
• Machine Learning
• Digital Twins
• +3 more

Roles & Affiliations Dr. Yunjie Yang is a Senior Lecturer (equivalent to Associate Professor) at the School of Engineering , University of Edinburgh. He is affiliated with the Edinburgh Futures Institute (EFI), Edinburgh Generative AI Laboratory (GAIL), and Edinburgh Centre for Robotics. He previously held the Chancellor’s Fellow in Data Driven Innovation (2018–2023) and Bayes Innovation Fellow (2023–2024). Education PhD in Engineering Electronics (2018), University of Edinburgh MSc in Control Science & Engineering (2013), Tsinghua University BEng in Measurement & Control Engineering (2010), Anhui University Research Interests His research focuses on AI-driven sensing and imaging, machine learning, digital twins, and soft robotics. Specific areas include: Electrical impedance tomography (EIT) for medical imaging Soft robotic perception and tactile sensing Medical devices and wearable technologies Data-driven inverse problems and reconstruction algorithms Awards & Fellowships 2024 IEEE J. Barry Oakes Advancement Award ERC Starting Grant Fellowships: Young Academy of Europe (FYAE), International Society for Industrial Process Tomography (FISIPT), and Higher Education Academy (FHEA) 2015 IEEE I&M Society Graduate Fellowship Award Advising & Grants Dr. Yang supervises PhD students in robotics, sensing, and medical imaging (e.g., Huazhi Dong). He leads projects such as the SELECT project on soft robot perception and Real-time Bedside Medical Imaging. His research is funded by grants from the ERC, Medical Research Council, and the European Commission. Research Group He heads the SMART Group , focusing on Sensing, Machine Learning, and Robotics. The group develops technologies like modular soft wearable gloves and digital twin frameworks for multiphase flow imaging.

Patricia DeLuciaView profile

Professor

• Human Factors
• Transportation Safety
• Health Care Systems
• +6 more

Patricia DeLucia is a Professor in the Department of Psychological Sciences at Rice University, specializing in human factors research with applications across transportation, healthcare, and military domains. Her work bridges cognitive psychology with practical applications to improve safety and performance in complex systems. Dr. DeLucia earned her Ph.D. from Columbia University in 1989 followed by a National Research Council postdoctoral associateship at Wright Patterson Air Force Base from 1989-1991. Her expertise spans perception of collision across multiple sensory modalities, multisensory integration in normal and impaired vision, and virtual reality applications. Her research interests focus on human factors in transportation (manual and automated driving, pedestrian street-crossing), health care applications (nursing, medication administration, patient safety, minimally-invasive surgery, telehealth), and military applications (UAVs, night vision goggles). She has made significant contributions to understanding time-to-collision judgments, driver behavior, and perceptual processes in real-world contexts. Analysis of her recent publications reveals consistent focus on automated driving systems, human-machine interaction in healthcare settings, and perceptual processes related to collision avoidance. Her work increasingly addresses the challenges of human-automation interaction across multiple domains. Dr. DeLucia has received numerous professional honors including: Texas Tech University Faculty Distinguished Leadership Award (2016) Human Factors and Ergonomic Society's Paul M. Fitts Education Award (2015) American Psychological Association Division 21's Franklin V. Taylor Award (2014) Texas Tech University Barnie E. Rushing, Jr. Faculty Distinguished Research Award (2012) She previously served as Editor-in-Chief of Human Factors (2014-2021) and held leadership positions including President of APA Division 21 (2011) and Chairperson of the Accreditation Committee for the Human Factors and Ergonomics Society (2010-2013). Her professional service includes standing review panels for NASA and the Agency for Health Research Quality, demonstrating her impact across multiple scientific domains.

Orla WilsonView profile

Academic

• Nanomaterials
• Optical Properties
• Nanoparticle Synthesis
• +4 more

Orla Wilson is an Associate Teaching Professor in the Department of Materials Science and Engineering at Johns Hopkins University's Whiting School of Engineering. Her research focuses on nanomaterials and optical properties , with emphasis on dendrimer-encapsulated nanoparticles and semiconductor devices. PhD in Materials Science (2005) – Texas A&M University MS in Materials Science (1997) – Dublin City University BS in Materials Science (1993) – Dublin City University Her work spans nanoscale synthesis, catalysis, and educational innovation, particularly in hands-on undergraduate semiconductor device preparation. Recent publications highlight advancements in magnetic nanoparticles , dendrimer-encapsulated systems , and nanoparticle extraction methods . Notable awards include: George E. Owen Teaching Award (2019) ABET IDEAL Scholar (2019) Capers and Marion McDonald Award for Excellence in Mentoring (2017) She actively contributes to materials characterization facilities and interdisciplinary research on microplastics in environmental systems.

• Educational Technology
• Augmented Reality
• Mobile Learning (m-learning)
• +3 more

Dr. José Rafael García-Bermejo Giner is a Professor at the National Distance Education University (UNED). His research focuses on educational technology, augmented reality, mobile learning (m-learning), and the integration of territorial heritage with digital tools. He has collaborated extensively with researchers in Chile and Ecuador. Current affiliations: National Distance Education University Research Interests: His work explores the use of augmented reality and pedestrian navigation systems to enhance educational experiences, particularly in heritage contexts. Recent studies evaluate two-factor authentication in learning environments and mentorship programs for high-ability students. Publication Trends: Over the past decade, his research has evolved from foundational work in gestural interaction and educational resource design to modern applications of augmented reality in heritage education and cybersecurity measures in digital learning platforms.

Raluca UrsuView profile

Associate Professor

• Consumer Search
• Information Acquisition
• Online Markets
• +7 more

Raluca Ursu is an Associate Professor of Marketing at the Leonard N. Stern School of Business, New York University, where she joined in 2016. Her research focuses on consumer search and information acquisition in online markets, utilizing structural estimation methods and large datasets to understand consumer decision-making under information overload. Ph.D., Economics, University of Chicago M.A., Economics, University of Chicago B.A., Economics and Mathematics, Mount Holyoke College Her research interests include consumer search, online markets, information acquisition, and behavioral economics. She investigates how consumers navigate vast product options under time and cognitive constraints, examining the impact of ranking algorithms, search fatigue, advertising, and product discovery. Her work combines rigorous economic theory with empirical analysis of real-world data such as online browsing, eye-tracking, and in-store sales. Professor Ursu’s recent publications reveal a strong trend in modeling sequential search behavior, consideration set formation, and the influence of digital interfaces on consumer decisions. Her articles span top journals like Marketing Science , Management Science , and Journal of Marketing Research , frequently employing structural econometric models and experimental designs. Frank M. Bass Outstanding Dissertation Award, 2018 Don Morrison Long Term Impact Award, Marketing Science, 2025 Finalist, John D.C. Little Best Paper Award, 2018 Finalist, Don Morrison Long Term Impact Award, Marketing Science, 2024 Finalist, Paul E. Green Best Paper Award, 2024 She has advised and collaborated on multiple research projects with colleagues and Ph.D. students, contributing to working papers on product location, search revisits, and voluntary labeling. She organized the 11th Workshop on Consumer Search and Switching Costs at NYU Stern in 2022 and co-leads the Virtual Quant Marketing Seminar (VQMS), fostering academic collaboration in quantitative marketing.

• Educational Assessment
• STEM Education
• Multilevel Modeling
• +4 more

Dr. Karen E. Rambo-Hernandez is the Interim Head and Associate Professor in the Department of Teaching, Learning and Culture at Texas A&M University's College of Education and Human Development. She holds a Ph.D. in Educational Psychology from the University of Connecticut (2011). Her research focuses on multilevel modeling applications in STEM education assessment, equity in gifted education identification, and inclusive pedagogical practices. She teaches advanced research methods courses and has secured over $5 million in NSF/DOE funding. Education: Ph.D. in Educational Psychology (Measurement, Evaluation, & Assessment) from University of Connecticut (2011). Research emphasizes novel statistical methodologies to address systemic inequities in education access. Recent work examines pandemic impacts on engineering education, teacher rating biases in gifted identification, and team-based learning efficacy in mathematics education. Advising: Supervised 12 doctoral/EdD and 11 master's students, serving on 22 graduate committees. Her mentorship focuses on preparing scholars to conduct rigorous equity-centered research. Labs/Initiatives: Leads projects on inclusive engineering identity development, computational thinking teacher training, and pandemic education response studies. Collaborates with national STEM education networks.

• Adult Education
• Human Resource Development
• Organizational Development
• +4 more

MATTYNA STEPHENS is a Clinical Assistant Professor of Adult Education and Human Resource Development at Texas A&M University. She holds a Ph.D. from Texas A&M, an M.A. in Health and Kinesiology from The Ohio State University, and a B.S. in Health and Kinesiology from Johnson C. Smith University. Her research focuses on adult learning principles, organizational development, and leadership in educational contexts. She has published over 20 refereed articles, three book chapters, and serves on two journal editorial boards and three dissertation committees. Dr. Stephens also authored two children's books and is active in professional organizations like the American Association for Adult and Continuing Education. Her teaching portfolio includes courses on human resource development foundations, applied learning principles for adults, organizational development, leadership practices, and methods for teaching adults. Recent publications emphasize marginalized communities' educational needs and online pedagogy innovations. Dr. Stephens contributes to institutional governance through her role on the Distance Education Committee and actively engages in community-based research addressing health equity issues.

• Adult Learning
• Education Policy Analysis
• Supervision of Graduate Research
• +4 more

Dr. Elizabeth Roumell is an Associate Professor in the Department of Education Administration and Human Resource Development at Texas A&M University, serving as tenured faculty, Associate Department Head for Academic Affairs, and Executive Director of the Texas Center for the Advancement of Literacy and Learning (TCALL). She holds a Ph.D. in Education from the University of Wyoming (2009) and specializes in adult learning, policy analysis, and graduate supervision. Her research emphasizes identity development in adult learners, education policy reform, and global social justice in adult education. She has secured over $7 million in grants and authored/co-authored 30+ peer-reviewed articles, 12 book chapters, and a co-edited book on human rights and sustainability. Education Background: Ph.D., Education (Adult & Postsecondary Education), University of Wyoming (2009) M.A., International Studies, University of Wyoming (2003) B.A., German and International Studies, University of Wyoming (2000) Research Interests: Adult learning theories and pedagogical practices Policy analysis of adult and workforce education systems Supervision of graduate research in distance education Human rights advocacy through adult education Cross-cultural andragogical approaches Community capacity-building initiatives Awards: 2013 & 2017 Early Career Awards for Research Excellence 2020 Imogene Oaks Award for Outstanding Research Recognition for policy leadership in global adult education Grants & Advising: PI/Co-PI for $7M+ grants; advised 4 doctoral students (e.g., Steven Koether, Miranda Livingston). Her work intersects policy, pedagogy, and social justice, with emphasis on marginalized populations and sustainable development.

• Sense of Belonging
• Evaluation
• Social and Emotional Development
• +3 more

Dr. Ananya Tiwari is an Assistant Professor in the Department of Educational Psychology at Texas A&M University’s College of Education. Her research focuses on bridging educational psychology, evaluation science, and global development to address systemic inequities, particularly for rural adolescent girls in India. She employs mixed methods and culturally responsive frameworks to study sense of belonging, social equity, and learning outcomes in policy ecosystems. Education: M.S., Educational Psychology - Developmental Sciences, University of Illinois, Urbana-Champaign Ph.D., Educational Psychology - Developmental Sciences, University of Illinois, Urbana-Champaign Research Interests: Her work examines the intersection of social-emotional development, educational technology, AI, and international development. She designs interventions to enhance resilience and equity in global contexts, emphasizing actionable evidence for systemic change. Recent projects include resilience programs in Bihar, India, and psychometric evaluations of achievement metrics in the Global South. Awards: AERA Division E Outstanding Dissertation Award Outstanding Doctoral Medal, UIUC College of Education Google.org Leaders to Watch (2021) William T. Diversity Travel Award Teaching: Courses include EPSY646 (Issues in Child and Adolescent Development) and EPSY647 (Child and Adolescent Development).

Cynthia Frownfelter-LohrkeView profile

Professor

• Accounting Information Systems
• Data Analytics
• Accounting Education
• +3 more

Cynthia Frownfelter-Lohrke is Interim Chair and Professor of Accounting at Samford University's Brock School of Business, Department of Accounting. She joined Samford in 2000 after teaching at the University of South Florida, Delaware, Texas at San Antonio, and Southern Mississippi. Her teaching focuses on Accounting Information Systems, Data Analytics for Accounting/Finance, and foundational accounting courses. She holds a Ph.D. in Business and M.S. in Accounting from Drexel University, an M.S.E. in Instructional Design from Samford University, and a B.B.A. in Accounting from Loyola University New Orleans. She maintains CPA credentials with prior experience in public accounting auditing and consulting. Her research spans: Accounting pedagogy innovations (e.g., Excel training frameworks, data analytics curriculum) Financial reporting effectiveness (e.g., visualization in annual reports) Information systems auditing (e.g., COBIT/Systrust integration) Cybersecurity's organizational impact (recent focus) Publication analysis reveals evolving emphasis on cybersecurity management (2023–2025) alongside sustained contributions to accounting education methodology and strategic frameworks like SWOT-enhanced teaching models. Professional service includes past presidency of the Accounting Information Systems Educator’s Association and memberships in the American Accounting Association and AICPA.

Susan E BristowView profile

Academic

• Mental Models
• Workforce Development
• Enterprise Resource Planning
• +3 more

Susan E Bristow serves as a Teaching Associate Professor and Associate Director of Graduate Programs at the Sam M. Walton College of Business, University of Arkansas, within the Information Systems department. She has been a dedicated faculty member since 2002, contributing significantly to both undergraduate and graduate education programs. Her research focuses on Mental Models, Workforce Development, Enterprise Resource Planning (ERP), and Functional Roles in Teams. Dr. Bristow's teaching expertise centers on Enterprise Resource Planning (ERP), Systems Analysis and Design, End-User Computing, and Service-Learning, where she integrates practical applications with theoretical frameworks to enhance student learning outcomes. U of A Outstanding Mentor U of A Outstanding Faculty Advisor Faculty of the Year Award by University of Arkansas Associated Student Government Walton College Excellence in Teaching Award Walton College Innovation Award Walton College Excellence in Service Award University of Arkansas Teaching Academy Inductee (2014) Arkansas Academy of Computing Inductee (2020) Dr. Bristow actively mentors students as faculty advisor for the University of Arkansas Association of Information Systems Chapter (AIS), Beta Gamma Sigma, and Phi Mu Fraternity. Under her guidance, the AIS Chapter received the Association for Information Systems (AIS) Outstanding Chapter Award in 2018 and 2020. She maintains professional affiliations with Alpha Iota Delta, Americas' SAP Users' Group, Association for Information Systems, and Decision Sciences Institute.

Fezile ÖZDAMLIView profile

Professor

• Educational Technology
• Gamification
• Artificial Intelligence in Education
• +3 more

Professor Fezile ÖZDAMLI serves as the Head of the Management Information System Department at Near East University. Her research focuses on educational technology, gamification, artificial intelligence, and mobile learning. She has extensively published systematic reviews and empirical studies analyzing technology integration in education, including topics such as virtual reality, DeFi risk mitigation, and techno-skepticism in m-government. Current research areas include gamification, AI in education, and smart learning environments. Active in systematic literature reviews and bibliometric analyses of emerging technologies. Email: fezile.ozdamli@neu.edu.tr

Haluk BingölView profile

Professor

• Complex Networks
• Evolutionary Game Theory
• Social Network Analysis
• +5 more

Prof. Haluk Bingöl serves as a Professor at Yeditepe University's Faculty of Computer and Information Sciences, Department of Computer Science and Information Technologies since 2018. Previously, he held academic positions at Boğaziçi University from 2001 to 2018, progressing from Assistant Professor to full Professor in the Department of Computer Engineering. His educational background includes a PhD (1987) and MS (1985) in Electrical and Computer Engineering from Syracuse University, with doctoral research on Boolean Comparison by Simulation , and a BS in Electrical and Electronics Engineering from Middle East Technical University (1982). His research centers on Complex Networks and Evolutionary Game Theory , with significant contributions to understanding cooperation dynamics in the Iterated Prisoner's Dilemma, community detection algorithms, and epidemic modeling in urban networks. His work integrates computational modeling with real-world applications in social dynamics and information systems, often employing agent-based simulations to explore emergent phenomena. Recent publications demonstrate consistent focus on game-theoretic models of cooperation, network structure analysis, and applications in social media and epidemiology. He maintains strong publication output in high-impact journals including Physical Review E , Advances in Complex Systems , and Journal of Theoretical Biology , with increasing interdisciplinary reach into mental health informatics and computational linguistics. Multiple Publication Incentive Awards from Boğaziçi University and TÜBİTAK Interpro IT Award for industry-academia collaboration Best Poster Award at COST MP0801 United Nations Fellowship (1984-1985) and TEV International Scholarship National competition awards for student thesis supervision Prof. Bingöl has supervised 23 graduate students across master's and PhD programs, with research spanning community detection, evolutionary dynamics, and attention economics. His grant portfolio includes leadership of the TURKCELL m-learning Project ($130,000), participation in EU-funded initiatives (EUMedGrid, ASSYST), and COST actions (TD1210, MP0801) focusing on complex systems research infrastructure. He actively contributes to COST actions and collaborative networks, developing methodologies for complex systems analysis while mentoring next-generation researchers through structured academic programs and industry partnerships.