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Eugen DimantView profile

Associate Professor

• Experimental Behavioral Economics
• Behavioral Ethics
• Social Norms
• +5 more

Eugen Dimant is an Associate Professor of Practice in Behavioral and Decision Sciences at the University of Pennsylvania's School of Arts and Sciences and a Visiting Professor at Stanford University. He holds fellowships at Penn's Center for Social Norms and Behavioral Dynamics and Behavioral and Decision Sciences Program, collaborates with Wharton's Behavior Change for Good Initiative (BCFG), and is a CESifo Network Fellow. From 2022-2023, he contributed to the White House Behavioral Science Team (OES) on opioid epidemic interventions. His academic credentials include: PhD in Economics, University of Paderborn, 2016 Dimant's research centers on experimental behavioral economics , examining how social norms and nudges shape ethical decisions and behavior change. His work reveals how polarization erodes cooperation ( Hate Trumps Love ) and how norm perceptions influence punishment ( Nudging Enforcers ). A refugee from Moldova, he also investigates migration drivers through the lens of corruption and terrorism , blending personal experience with academic rigor. His 13 recent publications (2021-2025) demonstrate growing focus on large-scale real-world applications, including a 3-million-student math education megastudy and pandemic policy synthesis. Methodologically, he bridges experimental economics with policy design, frequently employing field experiments and meta-analyses. His scientific recognition includes: Heinz Sauermann Award (GfeW, 2015) Best Experimental Dissertation Award (GfeW, 2015/2016) Dimant leads high-impact grant projects including White House opioid RCTs and NSF-funded polarization research. His megastudy with Duckworth and Milkman exemplifies his focus on scalable behavioral interventions, while his migration work integrates economics with geopolitical analysis. He directs Penn's Center for Social Norms and Behavioral Dynamics research and co-organizes the 2025 MIT Workshop on Polarization, Social Norms, and Trust, positioning him at the forefront of norm dynamics research in polarized societies.

Stephen SalakoView profile

Professor

• imaging
• Optimization
• PDEs
• +2 more

Stephen Salako serves as Professor and Chair of the Mathematics and Sciences Department at Our Lady of the Lake University in San Antonio, Texas, where he leads academic initiatives while maintaining active research and teaching responsibilities across mathematical disciplines. His educational foundation includes: PhD in Mathematics from the University of Texas at Arlington Master of Science in Mathematics from the University of Texas at San Antonio Bachelor of Engineering in Chemical Engineering with Minerals Engineering from the University of Birmingham, England, UK Dr. Salako's research integrates imaging, optimization, partial differential equations, and mathematical modeling with education theory, revealing deep conceptual connections between abstract mathematics and real-world applications. His teaching philosophy emphasizes patience, interactive dialogue, and transforming mistakes into growth opportunities to make mathematics accessible to all learners. His scientific contributions are recognized through significant funding awards: NSF IUSE-HSI SPIRAL Project ($500K, co-PI, July 2022) Flashman Fund: Mathematical Modeling in Ecology (Fall 2021) La Cosecha Grant ($2K STEM Colloquiums, Spring 2019) While no current advisees are documented, his research program is actively supported by these grants focusing on mathematical modeling innovations and STEM education development. His professional membership in the School Science and Mathematics Association further demonstrates commitment to advancing mathematical pedagogy.

• High-dimensional Probability
• Random Matrices
• Random Graphs
• +9 more

Nicholas Cook is an Assistant Professor in the Department of Mathematics at Duke University. Currently on leave at the Berkeley SLMath Institute for the program on Probability and Statistics of Discrete Structures (Spring 2025). He will teach Math 690-40: Introduction to Random Matrix Theory in Fall 2025. His research focuses on high-dimensional probability, including random matrices, random graphs, large deviations, and universality phenomena, with connections to graph theory, additive combinatorics, free probability, and mathematical physics. Background: Cook earned his PhD in 2016 from UCLA under Terence Tao. He was a Stein Fellow at Stanford University's Statistics Department and held NSF postdoctoral positions at Stanford and UCLA. His academic journey includes affiliations with Amir Dembo and Jun Yin as postdoctoral sponsors. Research interests span broad areas such as concentration of measure, universality in random structures, and applications in numerical analysis and statistics. His recent work emphasizes large deviation principles for eigenvalues, universality in random matrix ensembles, and combinatorial problems in graph theory. Articles published since 2018 reflect a deep engagement with spectral properties of random structures and their probabilistic behaviors. Teaching and academic service: Currently on research leave, Cook has taught advanced courses in probability and random matrix theory. His academic contributions are supported by NSF grants, though specific grant details are not provided here.

Colin SanctuaryView profile

Lecturer

• Strength and Conditioning
• Applied Sports Science
• Sport Performance
• +8 more

Dr Colin Sanctuary is a Lecturer in the School of Biomedical Sciences and Pharmacy at the University of Newcastle, specializing in Exercise and Sport Science. He transitioned from a 20+ year career in professional sports (e.g., cricket, soccer, rugby league) to academia, leveraging his extensive industry networks to bridge academic research with community and industry engagement. His roles include leading Work Integrated Learning programs and collaborating with organizations like the Newcastle Knights, Central Coast Mariners, and Cricket NSW. Education: PhD (University of Leeds, UK), BA (Honours) in Physical Education and Sport (University of Leeds, UK). Research Interests: Sport performance pathways, movement competency assessment (e.g., Best Start tool), applied sports science, interdisciplinary collaboration, and youth athlete development. His work focuses on foundational movement skills in primary education, integrating numeracy/literacy with physical activity. Grants & Collaborations: Secured $126,116 in grants, including projects on NRLW player development and accelerating the Best Start program via CSIRO’s On-Prime initiative. Collaborates with national/international bodies like FIFA and the Tongan Dept of Education. Key Projects: Co-developed the Best Start Assessment Tool for foundational movement skills, Indigenous Maths in Motion, and Maths with the Mariners programs. Supervises three PhD candidates linked to the Newcastle Knights. Teaching Focus: Emphasizes transferable skills and work-integrated learning, designing curricula that prepare students for sport, education, and health sectors.

Emily MofieldView profile

Assistant Professor

• Gifted Education
• Curriculum Design
• Differentiation Strategies
• +3 more

Emily Mofield, Ed.D., is an Assistant Professor of Education at Lipscomb University's College of Education, serving as Lead Faculty for the Gifted and Advanced Academics Graduate Program and teaching in the Ed.D. Program for Learning Organizations and Strategic Change. She holds degrees from Tennessee State University (Ed.D.), Vanderbilt University (M.Ed.), and Bellarmine University (B.A.). Her research focuses on gifted education, including curriculum design, differentiation strategies, psychosocial skills, and collaborative teaching. Notable works include award-winning books like Collaboration, Coteaching, and Coaching in Gifted Education (NAGC 2021 Book of the Year) and recent publications on talent development frameworks and interdisciplinary lessons integrating science and ELA. Dr. Mofield has received the NAGC Hollingworth Award for Excellence in Research and contributes to initiatives like the Javits Project Bump-Up. Her professional development expertise addresses advanced differentiation and collaborative teaching in schools. She actively engages with NAGC and balances her academic work with family life, including her role as a mother and involvement in her church.

Sohaib KianiView profile

Assistant Professor

• Trustworthy Machine Learning
• Causal Machine Learning
• Adversarial Machine Learning
• +3 more

Sohaib Kiani is an Assistant Professor of Math and Computer Science at Beloit College, USA. He holds a B.Sc. in Communication Engineering from NU-FAST Islamabad, an M.Sc. in Communication Engineering & IT from RWTH Aachen University, and a Ph.D. in Computer Science from the University of Kansas. His research focuses on Trustworthy Machine Learning, emphasizing explainability, fairness, privacy, causality, and robustness. Key areas include causal ML in decision-making systems, multi-view data applications, and democratizing ML through Tiny ML. Recent work includes a 2023 ECAI publication on counterfactual prediction and a 2021 ACSAC distinguished paper on adversarial example detection. He teaches courses like Object-Oriented Programming and Information Security. Awards include the Distinguished Paper Award at ACSAC 2021. Research opportunities are available via a dedicated sign-up link.

Keonya BookerView profile

Associate Professor

• Educational Psychology
• Classroom Belonging
• Diversity and Inclusion in Education
• +5 more

Dr. Keonya Booker serves as Associate Professor of Educational Psychology and Associate Dean of the Graduate School at the College of Charleston. With dual appointments in the School of Education and the Graduate School, her work bridges academic instruction and institutional leadership. She joined the College in 2013 as an adjunct faculty member before transitioning to a tenure-track role in 2014. Holding a B.A. and M.Ed. from William & Mary and a Ph.D. in Education from UNC Chapel Hill, her expertise spans educational psychology, measurement, and evaluation. Her professional responsibilities include curriculum review, graduate program assessment, advising the Graduate Student Association, and teaching both undergraduate and graduate courses. Her research focuses on classroom belonging, culturally responsive teaching, mentoring strategies, and equity in education. Notable themes include African American student experiences, special education equity, and fostering inclusive learning environments. She was nominated for the 2019 College of Charleston Distinguished Teaching Award, reflecting her commitment to pedagogical excellence. Dr. Booker’s academic contributions include over 20 peer-reviewed articles addressing topics like teacher-student relationships, diversity training outcomes, and mentoring practices in post-pandemic academia. She actively participates in institutional initiatives promoting social-emotional learning and has contributed to policy discussions around urban education and special needs inclusion.

Kristine CoppingView profile

Professor

• Developmental Psychology
• Gender Studies
• Racial Stereotypes
• +3 more

Dr. Kristine Copping is an Associate Dean of Faculty and Professor of Psychology at Huntingdon College. She holds a Ph.D. in Developmental Psychology from the University of North Carolina-Chapel Hill, an M.A. from the same institution, and a B.A. in Psychology from the University of Michigan-Ann Arbor. Her research focuses on the influence of gender and race on adolescents' academic stereotypes and self-concept, with particular attention to racial and gender disparities. She has published extensively in journals such as Cultural Diversity and Ethnic Minority Psychology and Developmental Psychology , and her work examines topics like stereotype endorsement, academic achievement, and motivational pathways in African American youth. Grants: NetVUE Reframing the Institutional Saga Grant (2021-2023), Spencer Foundation Education Science and Policy Fellowship (2007-2008). Awards: Exemplary Teacher Award (2024, 2018), Julia Lightfoot Sellers Award (2015). Dr. Copping has led workshops on remote instruction and implicit bias, and she has mentored undergraduate students through the Office of Undergraduate Research Fellowship. She serves as a Research Consulting Editor for Educational Psychology and has held leadership roles in academic organizations like the Society for Research in Child Development. Her professional service includes roles as Research Lab Manager at UNC Chapel Hill and Data Consultant for the Nurture the Nurse Program. She actively contributes to academic conferences, presenting on topics such as gender stereotypes and Title IX compliance.

• Educational Measurement
• Psychometrics
• Structural Equation Modeling
• +6 more

Brian F. French is a Regents Professor and Berry Family Distinguished Professor at Washington State University (WSU), affiliated with the College of Education, Sport, and Human Sciences . He serves as Director of the Learning and Performance Research Center and Psychometric Laboratory . His research focuses on educational and psychological measurement, including psychometric methods, validity evidence, and fairness in testing decisions. He holds fellowships with the American Psychological Association and membership in the Washington State Academy of Sciences. Education : Ph.D. in Educational Psychology, Purdue University M.S. in Educational Psychology, Purdue University B.A. in Psychology and Spanish, Seattle University Research Interests : French specializes in psychometric methodologies such as Structural Equation Modeling, Item Response Theory, and Multilevel Modeling. He addresses fairness in testing through studies on measurement invariance and Monte Carlo simulations. His work spans education, psychology, agriculture, and medicine. Recent Articles Trends : His recent work emphasizes validation studies (e.g., risk assessment tools), cross-cultural adaptations (e.g., Spanish scales), and simulation-based evaluations of measurement invariance. He also explores educational interventions and the impact of teacher effectiveness on student outcomes. Awards & Service : Fellow, American Psychological Association Member, Washington State Academy of Sciences Editor, Measurement, Statistics, and Research Design section of the Journal of Experimental Education Chair, GRE Research and Technical Advisory Committee Advising & Grants : French collaborates across disciplines (e.g., education, agriculture, medicine) on grants related to measurement and validation. His lab focuses on developing rigorous psychometric frameworks for diverse assessment contexts. Labs/Teams : He directs the Learning and Performance Research Center and Psychometric Laboratory , which advance methodological innovations in educational and psychological measurement.

Irosha NawarathneView profile

Associate Professor

• Medicinal Chemistry
• Antibiotic Development
• Natural Product Chemistry
• +3 more

Dr. Irosha Nawarathne is an Associate Professor of Chemistry at Lyon College, located in Batesville, Arkansas. She earned her Bachelor's degree (First Class Honors) in Chemistry from the University of Colombo, Sri Lanka, and her PhD in Bioorganic Chemistry from Michigan State University. Her research focuses on drug discovery, particularly targeting multi-drug resistant Mycobacterium tuberculosis and lung cancer therapies. She leads an undergraduate research team developing novel rifamycins and exploring naphthoquinone derivatives for cancer treatment. Education: BSc (University of Colombo), PhD (Michigan State University) Grants: Funded by NIH/NIGMS (P20 GM103429), Arkansas INBRE, and FutureFuel Chemical Company Key Projects: Rifamycin modifications, lung cancer therapeutics, food chemistry analysis Publications: Over 15 peer-reviewed manuscripts and multiple conference presentations Research interests include biocatalytic methods for natural product modification, antibiotic development, and applying organic chemistry to biomedical challenges. Her lab emphasizes undergraduate involvement in drug discovery, with students contributing to publications and winning awards at regional and national conferences. She is a coordinator for Lyon's Science Outreach Program and advises the Order of the Tartans Mortar Board Chapter. Her work is supported by grants totaling over $700,000, enabling state-of-the-art instrumentation and student participation in conferences.

• Artificial Intelligence
• Natural Language Processing
• Vision-Language Models
• +6 more

Chitta Baral is a Professor in the School of Computing and Augmented Intelligence at Arizona State University (ASU), part of the Ira A. Fulton Schools of Engineering. He joined ASU in 1999 as an Associate Professor and was promoted to Full Professor in 2002. His research focuses on artificial intelligence, natural language processing, vision-language systems, and neuro-symbolic approaches. He directs the Cognition and Intelligence Lab (COGINT Lab) and has authored influential works like the book Knowledge Representation, Reasoning and Declarative Problem Solving (Cambridge University Press). His academic journey includes a B.Tech from IIT Kharagpur, and M.S./Ph.D. from the University of Maryland, College Park. Baral's work spans theoretical contributions (e.g., Answer Set Programming, logical reasoning) and applied domains like cybersecurity, biomedical informatics, and robotics. He has held editorial roles at top AI journals, led KR Inc., and collaborated with organizations like the Mayo Clinic. His recent research emphasizes LLM instruction engineering, bias mitigation, and multimodal reasoning benchmarks. He teaches advanced courses in NLP and advises students in AI-related areas.

Jennifer CrossView profile

Academic

• Human-Robot Interaction
• Educational Robotics
• STEM Education
• +3 more

Dr. Jennifer Cross is a Research Assistant Professor at Tufts University's Center for Engineering Education and Outreach (CEEO), focused on human-robot interaction in educational contexts and diversity in STEM education. She holds a PhD in Robotics from Carnegie Mellon University (CMU), where she developed the Arts & Bots program using the Hummingbird Robotics Kit to integrate robotics with non-technical disciplines like art and English. Her work emphasizes K-12 robotics integration, teacher training, and community-driven environmental monitoring. Educational Background: PhD in Robotics, Carnegie Mellon University (2017) MS in Robotics, Carnegie Mellon University (2013) BS in Electrical and Computer Engineering, Franklin W. Olin College of Engineering (2010) Research Interests: Dr. Cross's work spans creativity-oriented robotics education, STEM diversity initiatives, and community-empowered environmental sensing projects like Smell Pittsburgh. She designs tools such as the Smart Motor toolkit to introduce machine learning to elementary students and collaborates with teachers to integrate engineering into non-technical curricula. Awards & Recognition: Institute of Education Sciences (IES) Program for Interdisciplinary Education Research Fellow National Science Foundation (NSF) Graduate Research Fellowship Program Fellow Advocacy & Grants: Her research has been supported by grants focusing on robotics in education and public health. She has advised on teacher training programs and developed assessment frameworks to measure student attitudes toward robotics activities. Labs & Teams: Collaborates with CMU's Community Robotics, Education, and Technology Empowerment (CREATE) Lab and leads projects at Tufts CEEO, emphasizing accessible, inclusive STEM tools.

Nicolas DelormeView profile

Researcher

• Materials Science
• Nanotechnology
• Surface Chemistry
• +9 more

Nicolas Delorme is a Researcher at Le Mans University, affiliated with the Institute of Materials Jean Rouxel (IMMM). His work focuses on the development and characterization of surfaces and thin film materials , utilizing advanced techniques like atomic force microscopy (AFM) in controlled environments. He serves as an Educational Manager for the L1 Maths-Physics-Chemistry program and the Professional Degree in Ecoconstruction and Energy, contributing to training in materials science and sustainable technologies. His research spans Materials Science, Nanotechnology, and Polymer Physics , with applications in biomedical engineering, environmental science, and surface chemistry. Key projects include studying photo-switchable adhesives , SERS-based sensors , and the impact of microplastics on marine life . He has developed methods for superhydrophobic materials and investigated thermal and mechanical properties of polymers under various conditions. Delorme’s publications highlight trends in surface characterization , polymer degradation , and nanoscale acousto-plasmonic systems . His work bridges fundamental studies of polymer behavior and applied research in ecoconstruction and medical material recycling. He collaborates on interdisciplinary projects involving AFM force spectroscopy, Raman spectrometry, and thin film lithography. Educational Manager, L1 Maths-Physics-Chemistry Educational Manager, Professional Degree in Ecoconstruction and Energy

• Nonlinear Optimization
• Numerical Optimization
• Optimization and Control with PDEs
• +12 more

Prof. Dr. Nicolas R. Gauger is Full Professor and Chairholder for Scientific Computing at the University of Kaiserslautern-Landau (RPTU), holding dual appointments in the Department of Mathematics and Department of Computer Science. He directs the university's Computing Center (RHRZ) and leads the SciComp research team, with prior roles at DLR Braunschweig, Humboldt University Berlin, RWTH Aachen University, and MIT. His academic background includes a Master in Mathematics (Dipl.-Math.) from Leibniz University Hannover (1998) and a Ph.D. in Applied Mathematics (Dr.rer.nat.) from Braunschweig University of Technology (2003). 1998-2010: Research Scientist, Numerical Methods for Aerodynamics at DLR Braunschweig 2005-2010: Assistant Professor (W1), Department of Mathematics, Humboldt University Berlin 2010-2014: Associate Professor (W2), RWTH Aachen University 2014: Visiting Professor, Massachusetts Institute of Technology Prof. Gauger's research centers on optimization under uncertainty for complex physical systems. His work integrates Algorithmic Differentiation with Machine Learning to advance Computational Fluid Dynamics, Aeroacoustics, and Structural Mechanics. Recent projects focus on medical applications like proton computed tomography (pCT) for cancer treatment through SIVERT and AI Care initiatives, alongside aerodynamic design for noise reduction and flow control. His 2025 publications reveal a dominant trend in end-to-end differentiable programming for physics-based optimization, particularly in fundamental particle physics experiments and medical imaging. Key subfields include diffusion models for detector design, reinforcement learning for particle tracking, and robust optimization frameworks applied to turbulence modeling and proton therapy. Scientific recognition includes: Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA), 2018 Teaching Award from RPTU, June 2025 He has advised doctoral students including award-winning researcher Max Aehle (2025 Freundeskreis RPTU Outstanding Dissertation Award). Major grants include leadership of the Excellence Initiative-funded AICES Graduate School (2010-2019), the Center for Mathematical and Computational Modelling (CM) 2 (2014-2019), and the MathApp (2019-2024) and MSO (2024-present) research initiatives. Current projects like SIVERT and AI Care apply AI to cancer therapy. Prof. Gauger co-leads the Fraunhofer Performance Center's R&D Lab for Data Analysis and AI, serves on the Managing Board of ERCOFTAC (European Research Community on Flow, Turbulence and Combustion), and chairs the Steering Committee of ERCOFTAC's Special Interest Group on Design Optimization. His team develops critical AD tools including CoDiPack and OpDiLib within the NHR South-West high-performance computing consortium.

• Human-Computer Interaction
• User Interface Design
• Conscious overload and loss in hypermedia educational environments
• +7 more

Prof. Dr. Muhammet DEMİRBİLEK serves as a Professor in the Faculty of Education, holding joint appointments across the Department of Educational Sciences, Department of Science, and Department of Curriculum and Instruction. His academic work centers on the intersection of educational technology and human cognition within digital learning environments. His educational background includes a Licence in Electronic Engineering from Istanbul University (1993), a Master's degree in Electrical-Electronic Engineering (with thesis) from Istanbul University (1996), and a Doctor of Philosophy in Education from the University of Florida (2004). DEMİRBİLEK's research examines critical challenges in digital education including conscious cognitive overload in hypermedia environments, user interface effectiveness measurement, and the design of immersive learning systems. His work spans simulation-based environments, 3D virtual spaces, educational gaming mechanics, and social network integration in pedagogy. He investigates how multimedia production impacts teaching efficacy while addressing practical implementation challenges in diverse educational contexts. His publication record (2009-2023) reveals consistent focus on technology-mediated learning across international contexts, particularly examining social media's dual role as both distraction and collaborative tool. Key trends include bibliometric analysis of learning analytics, smartphone usage patterns among students, and cross-cultural studies of ICT adoption in European adult education. His work frequently employs mixed-method approaches to evaluate digital tools like GeoGebra in mathematics instruction and lecture capture systems in specialized fields.