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Stephan KramerView profile

Associate Professor

• Management Accounting
• Behavioral Accounting
• Performance Evaluation
• +3 more

Stephan Kramer is an Associate Professor of Accounting and Control at the RSM, Erasmus University . He holds a PhD from WHU – Otto Beisheim School of Management and an MSc in Business Information Systems from the University of Münster. Research interests focus on incentive system design , governance mechanisms , target setting practices , and performance evaluation . His work bridges archival/experimental methods with practical applications in management accounting , corporate governance , and managerial behavior . Recent articles explore color-coded feedback in decision-making , CEO incentives under competition , and age-related executive biases . Scientific awards include the David Solomons Prize (2016) European Accounting Review Outstanding Reviewer Award (2021) Professor of the Year Award (2023) IMA/CIMA research grants Teaching spans Financial Analytics , Management Accounting , and Fraud Investigations across bachelor, master, and executive programs. He has served as AACSB/NVAO accreditation team member and Academic Director at RSM.

David BalotaView profile

Adjunct Professor

• Cognitive Psychology
• Attention
• Memory
• +7 more

David Balota serves as an Adjunct Professor in the Department of Psychological and Brain Sciences at Washington University in St. Louis. With a career spanning multiple decades, his research has significantly contributed to our understanding of cognitive processes in aging and Alzheimer's disease. His work bridges theoretical cognitive psychology with clinical applications, particularly in developing sensitive cognitive markers for early detection of neurodegenerative conditions. Dr. Balota's primary research interests focus on the interplay between attention, memory, and language processing, with specific emphasis on how these cognitive domains change in healthy aging and in the presence of dementing illnesses like Alzheimer's disease. His research program has extensively examined automatic and controlled processes in cognitive tasks, lexical decision performance across the lifespan, and the development of sensitive cognitive markers for preclinical Alzheimer's disease. A significant portion of his recent work has focused on mind-wandering, reaction time variability, and their relationship to Alzheimer's disease biomarkers. His extensive publication record demonstrates consistent contributions to the field, with recent work increasingly incorporating digital assessment methods and biomarker research. Dr. Balota has made notable contributions to understanding how subtle cognitive changes can predict progression to cognitive impairment, particularly through examining attentional control processes and their relationship to tau pathology and neurodegeneration. Dr. Balota has been instrumental in developing large-scale lexical decision and naming corpora that have become standard resources in psycholinguistics research. His work on the English Lexicon Project has provided valuable data for understanding word recognition processes across different age groups and clinical populations.

Matthias JägerView profile

Researcher

• Optical Fiber Technology
• Photonics
• Laser Physics
• +3 more

Dr. Matthias Jäger is a Researcher in the Department of Fiber Photonics at the Leibniz Institute for Photonic Technology (IPHT) . His work focuses on advanced optical fiber development, particularly in doped materials and nonlinear laser dynamics. Core technologies: Thulium/Yb/Ho-doped fibers, periodic shadowing for stray light suppression, nonlinear loss management Instrumentation: High peak power laser systems, fluorescence lifetime analysis, multicore emission profiling Research interests span laser physics, materials science, and optical engineering. Recent publications highlight breakthroughs in: Directional stability control for fiber ring lasers (2021-2024) Hybrid Tm:YAG crystal-derived fiber fabrication (2022) Nanoparticle-doped optical fibers (2024) 2 µm eye-safe laser systems (2024) Pr3+-doped nanocrystal fiber integration (2024) Thulium concentration optimization for laser efficiency (2025) His work demonstrates expertise in fiber fabrication methods including: Modified Chemical Vapor Deposition (MCVD) Powder-sinter technology Molten-core processing REPUSIL fiber drawing

Elham DelzendehView profile

Associate Professor

• Digital Built Environment
• Building Information Modelling (BIM)
• Sustainable Architecture
• +3 more

Dr. Elham Delzendeh is an Associate Professor and College Academic Lead for Employability at the College of Built Environment, Birmingham City University. She specializes in Digital Built Environment and Technological Design, with research emphasizing cutting-edge digital technology, building energy performance, occupant behavior, and Building Information Modelling (BIM). Her academic background includes a PhD in Architecture and Built Environment, an MSc and BSc in Architectural Engineering. PhD in Architecture and Built Environment MSc in Architectural Engineering BSc in Architectural Engineering Her research bridges practical and academic expertise in design and construction, focusing on occupant behavior analysis, energy-efficient building simulation, and Industry 4.0 technologies like digital twins. She has contributed extensively to energy performance modeling, occupant-driven systems, and sustainable urban interventions. Selected scientific awards include Fellow of the Higher Education Academy (FHEA) . She has supervised postgraduate research in digital built environments and occupant behavior, integrating real-world industry insights into her pedagogy.

Adam GoodwillView profile

Assistant Professor

• Cardiovascular Physiology
• Coronary Circulation
• Myocardial Function
• +2 more

Adam Goodwill, Ph.D., FCVS is an Assistant Professor in the Department of Integrative Medical Sciences at Northeast Ohio Medical University (NEOMED). He previously served as Assistant Clinical Professor of Anatomy, Cell Biology & Physiology and Director of the Pre-Professional M.S. Program at Indiana University School of Medicine for a decade before relocating to Northeast Ohio in 2021. Ph.D. in Physiology and Pharmacology, West Virginia University School of Medicine (2011) B.S. in Molecular Biology/Biotechnology, Clarion University of Pennsylvania (2003) B.S. in Biology, Clarion University of Pennsylvania (2003) His research focuses on the interplay between myocardial contractile function and coronary blood flow regulation, particularly how oxygen demand and delivery become dysregulated in cardiovascular diseases. The laboratory employs a top-down approach, starting with in vivo models and progressing to molecular analysis, aiming to identify therapeutic targets for cardiovascular disorders. Key research themes from his publications include: Investigation of sodium-glucose cotransporter-2 inhibition in myocardial ischemia GLP-1 receptor activation effects on cardiac efficiency in obese models Role of KV1 channels in coronary blood flow regulation Adipose tissue dysfunction in disease pathogenesis Scientific recognitions include awards from the American Physiological Society (Teaching and Cardiovascular Sections) and the Society for Experimental Biology and Medicine's Burton E. Sobel Award. He has presented at major conferences including Experimental Biology, Korean Society of Heart Failure, and American Heart Association Scientific Sessions. Dr. Goodwill serves on editorial boards for Frontiers in Cardiovascular Therapeutics and Scientific Reports , and teaches courses in Cardiovascular, Pulmonary and Renal (CPR) systems as well as Gastrointestinal-Reproductive-Endocrine (GRE) systems at NEOMED.

• Artificial Intelligence in Healthcare
• Power Electronics
• Digital Control Systems
• +1 more

Anthony Kelly serves as a Postdoctoral Research Fellow in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland, with his office located in E2-006. His affiliation spans both engineering and healthcare domains through interdisciplinary research initiatives. His research demonstrates dual expertise in artificial intelligence applications for healthcare and advanced power electronics. In healthcare AI, he develops interpretable mental health models, diabetes management chatbots, and comorbid condition interventions with emphasis on clinician trust and safety evaluation. In power systems, he pioneers digital control techniques for DC-DC converters, FPGA power management, and machine learning-integrated circuit designs. This bifurcated focus reveals a strategic transition from hardware-centric research (2005-2019) toward AI-health convergence (2024-2025). Analysis of his 15 most recent publications shows a pronounced shift toward healthcare AI since 2024, with 80% of current work addressing mental health modeling, diabetes chatbots, and comorbid condition management. Earlier publications (2009-2019) consistently focused on power electronics innovations including current-sharing algorithms, adaptive controllers, and FPGA-based systems, establishing foundational expertise later applied to healthcare technology development.

Kimberly MooreView profile

Professor

• Environmental Horticulture
• Sustainable Agriculture
• Plant Nutrition
• +3 more

Dr. Kimberly Moore is an Associate Center Director and Professor in the Environmental Horticulture department at the University of Florida's Fort Lauderdale Research and Education Center. Her work focuses on sustainable nutrient management, alternative growing substrates, and plant responses to saline irrigation water. She collaborates with researchers and industry leaders to evaluate bedding plants and rose cultivars in trial gardens, emphasizing resource conservation and environmental stewardship. Role: Associate Center Director and Professor Institution: University of Florida (Fort Lauderdale Research and Education Center) Department: Environmental Horticulture Research Interests Dr. Moore's research explores: Alternative substrates for peat replacement Plant responses to reclaimed wastewater and saltwater intrusion Surfactant applications for deficit irrigation Sustainable ornamental production systems Hydrophobic soil management Salinity stress mitigation in greenhouses Scientific Awards 2021 Award Recipient's Breakfast (By Invitation Only) Affiliation and Lab She leads the Trial Garden Lab at the Fort Lauderdale Research and Education Center, collaborating with industry partners to assess plant performance under environmental stressors. Her extension programs include advanced water management initiatives for Master Gardener Volunteers and educational resources on irrigation water analysis.

Eli Ben-MichaelView profile

Assistant Professor

• Causal Inference
• Statistical Methods
• Computational Methods
• +5 more

Eli Ben-Michael is an Assistant Professor in the Department of Statistics & Data Science and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. He is also affiliated with the CMU-NIST AI Measurement Science & Engineering Cooperative Research Center (AIMSEC). Previously, he was a Post-Doctoral Fellow at Harvard University in the Institute for Quantitative Social Science and the Department of Statistics. Ben-Michael's research focuses on developing statistical and computational methods to solve practical issues in public policy and social science research. His work brings together ideas from statistics, optimization, and machine learning to create methods for credible and robust causal inference and data-driven decision making. His research spans multiple domains including healthcare policy, criminal justice reform, reproductive health, and education. His scholarly work shows a strong emphasis on causal inference methodology, with particular attention to synthetic control methods, balancing weights, policy learning, and sensitivity analysis. His recent publications demonstrate applications across diverse fields including healthcare, economics, social policy, and criminal justice. Ben-Michael completed his PhD in Statistics from UC Berkeley and earned his undergraduate degree in Computer Science and Statistics from Columbia University. His technical expertise includes developing open-source software, with contributions to the R packages 'augsynth' and 'multical' for synthetic control methods and multilevel calibration.

Neil BaileyView profile

Research Fellow

• Mindfulness and Meditation Research
• Electroencephalography (EEG) Analysis
• Non-invasive Brain Stimulation
• +6 more

Dr Neil Bailey is a Senior Research Fellow at the Australian National University's School of Medicine and Psychology, leading innovative research at the intersection of neuroscience, psychology, and mental health. His work focuses on understanding how mental health can be improved through various interventions, particularly mindfulness practices and brain stimulation techniques. Dr Bailey's research interests include: Investigating how mindfulness meditation affects brain activity, cognition, and mental health outcomes Developing novel treatments for depression, obsessive-compulsive disorder, and schizophrenia Applying non-invasive brain stimulation techniques like rTMS and tACS for mental health conditions Using machine learning and EEG to predict treatment responses for depression Exploring psychedelic-assisted psychotherapy for mental health conditions His recent publications reveal a strong focus on EEG-based research, particularly examining neural connectivity patterns, developing advanced data processing pipelines like RELAX, and investigating the neural mechanisms underlying mindfulness meditation. Dr Bailey's work consistently bridges theoretical neuroscience with practical clinical applications, aiming to enhance treatment efficacy for various mental health conditions. Dr Bailey leads multiple research projects including ASSESS (studying psychedelic medicines), EMPACT (evaluating psychedelic-assisted psychotherapy for depression), and several TACS-related projects for depression and OCD treatment. He also serves as Head of Data Science at the Monarch Mental Health Group, applying his expertise in data analysis to real-world mental health challenges.

Jennifer NelsonView profile

Senior Lecturer

• Virtual Reality
• Human-Machine Interaction
• Human Movement Behavior
• +3 more

Jennifer Nelson is a Senior Lecturer in the Department of Earth, Atmospheric, and Planetary Sciences at Purdue University, located in West Lafayette, Indiana. Her office is situated in HAMP 4284. She is affiliated with the College of Science and maintains active research in human-virtual interaction systems. Her research focuses on understanding how humans interact with virtual environments, particularly in crowded scenarios. Key themes include analyzing avoidance behaviors in response to virtual characters, studying the effects of rendering styles on human movement, and developing frameworks to model human-crowd interactions in immersive virtual reality settings. Recent work emphasizes the impact of virtual character dynamics (speed, density, direction) on human navigation patterns, as well as perceptual factors like gesture recognition and proximity effects. Her studies often involve creating experimental frameworks to quantify behavioral responses under varying virtual conditions. No scientific awards or grants are explicitly listed in the provided materials. While no advising information is available, her publications suggest involvement in collaborative research teams focused on virtual reality applications. She contributes to Purdue's initiatives in computational behavioral studies and immersive technology development.

Drew FudenbergView profile

Professor

• Behavioral Economics
• Economic Theory
• Industrial Organization
• +7 more

Drew Fudenberg is the Paul A. Samuelson Professor of Economics at MIT, where he has made significant contributions to economic theory, game theory, and behavioral economics. He received his A.B. in applied mathematics from Harvard College in 1978 and his Ph.D. in economics from MIT in 1981. His research focuses on several key areas: Game theory, including foundational work on learning and equilibrium, repeated games, and reputation effects Theoretical industrial organization, analyzing competition between firms and market dynamics Behavioral economics and decision theory, particularly self-control and stochastic choice Fudenberg's recent publications reveal a continued focus on learning under misspecification, strategic behavior in complex environments, and the intersection of behavioral economics with traditional game theory. His work often combines theoretical rigor with practical applications to real-world economic phenomena. His notable scientific achievements include: Fellow of the Econometric Society (and President in 2017) Member of the National Academy of Sciences Member of the American Academy of Arts and Sciences Recipient of fellowships from the Guggenheim Foundation and Alfred P. Sloan Foundation Past editor of Econometrica Co-founder of the open access journal Theoretical Economics Fudenberg has advised numerous doctoral students who have gone on to prestigious academic and industry positions. His research has been supported by various grants throughout his career, though specific grant details are not provided in the source material. He has also authored four influential books in his field.

• Human-Robot Interaction
• Assistive Robotics
• Machine Learning in Robotics
• +5 more

Prof. Dongheui Lee is a Full Professor at TU Wien's Institute of Computer Technology, Faculty of Electrical Engineering and Information Technology, and leads the Human-centered Assistive Robotics Group at the German Aerospace Center (DLR). She holds a PhD from the University of Tokyo (2007) and has held academic roles at Technical University of Munich (TUM), the University of Tokyo, and KIST. Her research focuses on human-robot interaction, assistive robotics, and machine learning applications in robotics. Education: PhD, Information Science and Technology, University of Tokyo, 2007 MS, Kyung Hee University, 2003 Research Interests: Her work spans human motion understanding, assistive robotics, human-robot collaboration, and control systems. Key areas include robotic balance assistance, motion imitation, and safety-aware robotics. She has pioneered methods for light touch support in human-robot interaction and developed frameworks for dynamic task execution. Recent Trends in Publications: Recent work emphasizes variable stiffness control, motion retargeting, and multimodal anomaly detection. Publications highlight advancements in assistive robotics, human motion prediction, and reinforcement learning for locomotion. Articles often integrate robotics with machine learning to improve safety and adaptability in human-robot systems. Awards: Carl von Linde Fellowship (TUM Institute for Advanced Study, 2011) Helmholtz professorship prize (2015) Best Intelligence Paper Award (2024) Projects & Grants: Leads projects like LunarAssembly (robotic assembly on the Moon) and INVERSE (interactive robots through reasoning). Funded initiatives include EU Horizon, BMBF, and industry collaborations. Coordinates teams for projects like PERSEO (service-oriented robotics) and SOLAR (body representation studies). Labs/Teams: Directs the Human-centered Assistive Robotics Group at DLR and collaborates with TU Wien's Autonomous Systems unit. Her teams focus on real-world applications in healthcare, manufacturing, and human-centered robotics.

• Monetary Theory
• Monetary History
• Political Economy
• +7 more

Dr. Joshua R. Hendrickson is an Associate Professor of Economics and Chair of the Department of Economics at the University of Mississippi (College of Liberal Arts). His research focuses on monetary theory, political economy, and the history of economic thought, with particular emphasis on cryptocurrency (notably Bitcoin), nominal GDP targeting, and policy frameworks. He holds affiliations with the American Institute for Economic Research’s Sound Money Project, the Mercatus Center, and the Bitcoin Policy Institute. Education: Ph.D. in Economics from Wayne State University (2010). He teaches courses ranging from introductory economics to advanced topics like Monetary Theory (Econ 619) and Economic Growth and Development (Econ 422). His work spans scholarly journals such as Journal of Money, Credit and Banking and Journal of Economic Dynamics and Control . Hendrickson’s research explores intersections between monetary policy and political economy, including historical analyses of the gold standard, modern digital currencies, and the implications of fiscal-monetary coordination. His recent work critiques traditional Quantity Theory assumptions and advocates for nominal income targeting as a policy framework. He also serves on the Mississippi Council on Economic Education board and contributes to public discourse via platforms like his Economic Forces Newsletter .

Ying HongView profile

Associate Professor

• Human Resource Management
• Organizational Behavior
• Work-Family Balance
• +2 more

Ying Hong is an Associate Professor and Patricia Ramsey Distinguished Research Scholar in Business at Fordham University's Gabelli School of Business, where he has been affiliated since 2014. His office is located at 140 W. 62nd Street, New York. Dr. Hong's research focuses on ethics-oriented human resource management systems, organizational citizenship behaviors, work-family balance, and moral psychology in workplace settings. His work examines how ethical frameworks in HR systems influence employee conduct and organizational outcomes. Recent publications demonstrate a consistent focus on the intersection of ethics, human resource management, and employee behavior, with methodological emphasis on moderated mediation models and multilevel analysis of organizational dynamics. Honors include being named the Patricia Ramsey Distinguished Research Scholar in Business, recognizing significant contributions to the field of management studies.

James V. ShulsView profile

Associate Professor

• Education Policy
• Teacher Labor Markets
• School Finance
• +7 more

James V. Shuls is an Associate Professor and Department Chair of Educator Preparation and Leadership at the University of Missouri-St. Louis, College of Education. He also serves as the graduate program director of educational leadership and policy studies. Dr. Shuls earned his Ph.D. in education policy from the University of Arkansas and holds master's and bachelor's degrees in elementary education from Missouri State University and Missouri Southern State University, respectively. Dr. Shuls' research focuses primarily on teacher labor markets, school finance, and school choice. His expertise has led him to serve as an expert witness in the school finance case, Martinez/Yazzie v. New Mexico. His methodological approaches include longitudinal data analysis, ethnography, and various evaluation methods including randomized control studies and quasi-experimental design. His scholarly work appears in journals such as Social Science Quarterly, The Rural Educator, Educational Policy, Journal of Education Finance, and Journal of School Choice, where he serves on the editorial board. Recent publications address the four-day school week in Missouri, teacher pension systems, school finance equity, and the conservative appeal of private schools. His research often bridges academic rigor with practical policy implications. Before joining UMSL, Dr. Shuls served as director of education policy for the Show-Me Institute, where he remains a distinguished fellow. His practical classroom experience teaching first and fifth grade in Republic, MO provides valuable context for his research and policy analysis. Dr. Shuls actively engages with broader audiences through popular media, talk radio, and television appearances on education policy matters.