Human Error Probability Professors and Supervisors | ApplySharif

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Frank LeymannView profile

Professor

Graz University of TechnologyAustria

Frank Leymann is a Professor of Computer Science at the University of Stuttgart, where he serves as Director and Founder of the Institute of Architecture of Application Systems. His career spans academia and industry, including 20 years at IBM Germany as a Software Architect. Research Focus: Workflow Management, Service Computing, Cloud Computing, Quantum Computing, Pattern Languages, Digital Humanities. Standards: Co-author of BPEL, BPMN, WS-RF, TOSCA, Human Task specifications. His work on quantum computing emphasizes hybrid quantum-classical applications and practical integration challenges. He pioneered the OASIS cloud standard TOSCA and developed the open-source OpenTOSCA platform, which has over 1,000 downloads. Scientific awards include an Honorary Doctorate from the University of Crete (2015), IBM Distinguished Engineer (2000), and IBM Academy of Technology membership (1996). Google Scholar cites his work over 43,300 times (H-Index 89), ranking him among the world's top computer scientists.

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Temitope LawalView profile

Research Fellow

Northumbria UniversityUnited Kingdom

Dr. Temitope Lawal is a Research Fellow at Northumbria University, affiliated with the Business and Law School, where he contributes to the PROBabLE Futures initiative focused on the responsible use of probabilistic AI in law enforcement. His expertise lies at the intersection of law, technology, and public policy, with a strong emphasis on the ethical and legal implications of emerging technologies. His research interests include artificial intelligence and law, digital governance, cybercrime, AI in criminal justice, internet governance, and cross-border legal regulation. He actively engages in policy development and has contributed to consultations on AI, copyright, and criminal court reform. Dr. Lawal's recent publications reflect a strong trend in examining the integration of AI into policing and legal systems, with a focus on accountability, ethics, and regulatory frameworks. His work spans comparative studies between the UK and Australia, African perspectives on cybercrime, and the future of digital evidence in courts. Fellow at the Centre for Space, Cyberspace, and Data Law, Bond University Member of the Law, Literature, and Humanities Association of Australia Dr. Lawal has advised on and led the development of professional tech policy courses, including Australia’s first such program at the Australian National University. He has participated in numerous conferences and workshops globally, contributing to academic and policy discourse. His professional background includes legal practice at Banwo & Ighodaro, regulatory work at the Nigerian Communications Commission, and academic coordination at Bond University. He is actively involved in research events and knowledge exchange. He is part of research teams and initiatives such as PROBabLE Futures and has collaborated with institutions including Bond University, Queen Mary University of London, and the Australian National University.

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Frauke LiersView profile

Professor

University of Erlangen–NurembergGermany

Prof. Dr. Frauke Liers holds the Professorship of Optimization under Uncertainty & Data Analysis at the Department of Data Science (DDS), Friedrich-Alexander-University Erlangen-Nürnberg. Her research focuses on robust and distributionally robust optimization, mathematical programming, and applications in energy systems, healthcare logistics, and quantum computing. Email: frauke.liers@fau.de ResearchGate: Frauke Liers Research Interests span optimization under uncertainty, data-driven mathematical programming, and interdisciplinary applications. Key areas include: Distributionally robust optimization with scenario reduction and chance constraints Quantum computing optimization for gate routing and noise suppression Energy system modeling (photovoltaics, gas networks, electricity networks) Healthcare logistics (patient transport scheduling under uncertainty) Nanoparticle technology and chemical process optimization Recent Publications emphasize: Advancements in quantum circuit optimization (2025) Explainable optimization methods (2024) Robust approaches for particle precipitation control (2024) Dynamic trajectory optimization (2023) Time-expanded models for network flows (2022)

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Alex BaldwinView profile

Assistant Professor

McGill UniversityCanada

Alex Baldwin is an Assistant Professor at McGill University within the Department of Ophthalmology & Visual Sciences. He serves as a Junior Scientist in the Brain Repair and Integrative Neuroscience (BRaIN) program at the Research Institute of the McGill University Health Centre. Supervisor in McGill's Integrated Program in Neuroscience (IPN) Supervisor in Quantitative Life Sciences program Laboratory located at Montreal General Hospital Research focuses span computational neuroscience, visual psychophysics, and binocular vision mechanisms , particularly examining: Amblyopia and spatial scrambling Aging-related changes in stereopsis Visual noise adaptation Contrast summation models Contour integration processes Digital therapeutic development His lab employs Matlab/Octave (Psychtoolbox), Python (PsychoPy), and Unity/C# for experimental design, with Python (Jupyter) and Matlab (Palamedes Toolbox) for data analysis. Collaborations include Wenzhou Medical University. Scientific recognition includes: NSERC Discovery Grant (2022-2027) HBHL Ignite Funding FRQ-S Vision Health Research Network Pilot Training opportunities available for undergraduate (PSYC-396/COGS-444/COGS-401) and graduate students , with current advisees working on topics including: Visual snow syndrome neural mechanisms Binocular imbalance in aging Contour integration modeling Adaptive strategies in amblyopia Dichoptic ebook therapy development

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Gianni RibeiroView profile

Lecturer

University of Southern QueenslandAustralia

Gianni Ribeiro is a Lecturer in Criminology at the University of Southern Queensland's School of Law and Justice, based at the Ipswich campus. She joined the university in 2023 and also holds an Honorary Research Fellow position at the University of Queensland's School of Psychology. Her academic journey includes a PhD in applied cognitive and social psychology from The University of Queensland completed in 2020 with no corrections required. Her educational background includes: PhD (Psychology) from The University of Queensland (2020) Graduate Certificate in Tertiary and Adult Education from Central Queensland University (2019) Bachelor of Psychological Science (Hons Class I) from The University of Queensland (2014) Dr. Ribeiro's research primarily focuses on forensic psychology, specifically examining how jurors and other legal decision-makers understand forensic evidence. She investigates methods to improve juror comprehension of complex forensic evidence and explores optimal ways for forensic experts to testify about their decisions. Her work also addresses the role of contextual relationship evidence in helping jurors understand gendered violence cases and overcome common stereotypes. A significant portion of her research examines how evidence is processed in legal decision-making contexts. Analysis of her publication record reveals a strong focus on forensic psychology and legal decision-making, with particular emphasis on juror cognition, forensic evidence interpretation, and the communication of scientific uncertainty in legal contexts. Her work spans both theoretical and applied aspects of forensic science, often collaborating with law enforcement agencies like the Queensland Police Service. Recent publications show increasing attention to contemporary issues such as transgender victims in sexual assault cases and the impact of misinformation during jury deliberations. Dr. Ribeiro is available for supervision of research students and has received funding from the Australian Institute of Criminology for her work. She is actively engaged in public discourse on legal issues, having contributed to discussions about affirmative consent laws in Australia. Her research demonstrates a consistent commitment to bridging the gap between psychological science and legal practice, with the goal of improving the justice system's handling of forensic evidence and victim testimony.

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Peter SpirtesView profile

Professor

Carnegie Mellon UniversityQatar

Peter Spirtes serves as the Marianna Brown Dietrich Professor and Head of the Department of Philosophy at Carnegie Mellon University's Dietrich College of Humanities and Social Sciences. His academic career spans multiple disciplines including philosophy, statistics, graph theory, and computer science, with a primary focus on causal inference methodology. Spirtes' research interests center on developing theoretical frameworks and practical algorithms for inferring causal relationships from observational data when controlled experiments are impossible. His work addresses fundamental questions about the relationship between probability and causality, with applications across epidemiology, econometrics, sociology, and political science. He leads the influential TETRAD project, which has produced computer programs for causal structure discovery. His extensive publication record demonstrates consistent contributions to causal discovery methodology, with recent work extending into 2024-2025. Spirtes' research increasingly addresses challenges in high-dimensional data, confounding variables, and the integration of causal methods with machine learning. As department head, Spirtes oversees academic programs including the Logic & Computation program, which combines philosophical and computational approaches to reasoning. His leadership position reflects his standing as a senior scholar in both philosophy and interdisciplinary causal methodology.

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Daniel FeilerView profile

Associate Professor

Dartmouth CollegeUnited States

Daniel Feiler is an Associate Professor with tenure at the Tuck School of Business, Dartmouth College. He is a behavioral scientist whose research explores the psychology of judgment and decision making and its role in organizational behavior and management science. He serves as a Senior Editor at Organization Science and an Associate Editor at Management Science. Education: Ph.D. in Business Administration, Duke University (2012) B.S. with highest honors in Economics and Decision Science, Carnegie Mellon University (2007) Post-Doctoral Fellow, Visiting Assistant Professor, Dartmouth College (2012-2014) Feiler's research focuses on cognitive biases, decision-making processes, and social networks. His notable work includes the study of 'network extraversion bias,' which demonstrates how people's social networks tend to overrepresent extroverts, leading individuals to believe others are more social than they actually are. His research on regret reveals how people overestimate the attractiveness of forgone alternatives, creating a hidden source of regret. His work has been published in top journals including Management Science, Psychological Science, and Organization Science, and has received popular press coverage in The Wall Street Journal, Forbes, New York Magazine, Fast Company, and The Washington Post. Feiler has made significant contributions to understanding how uncertainty affects expectations and decision-making. His research shows how people overestimate outcomes of choices they make while underestimating alternatives, and how this bias can be mitigated through better information and expectation calibration. Excellence in Teaching Award from Tuck MBA Class of 2015 (first junior faculty member ever selected for this award at Tuck) Named one of the 'Top 40 Business School Professors Under 40 Years Old' by Poets and Quants (2017) Paper/poster/presentation awards at Academy of Management Conference, Behavioral Decision Research in Management conference, and Max Planck Institute for Human Development summer conference Feiler co-developed the Organizational Behavior core class at Tuck, teaches a popular MBA elective on Negotiations, and a sprint course on Avoiding and Exploiting Decision Biases in the NBA. He is also the founding Faculty Director of the Impact Academy, a suite of custom executive education programs for the U.S. Olympic and Paralympic Committee. His teaching approach integrates behavioral science principles to help students understand and improve decision-making processes in organizational contexts.

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David LunaView profile

Professor

University of Central FloridaUnited States

Dr. David Luna is a Professor of Marketing at the University of Central Florida's College of Business. His research explores how language and culture influence consumer behavior and marketing communication effectiveness. Education: Ph.D. in Marketing/Consumer Behavior MBA Research interests span language processing in marketing communications, cross-cultural consumer psychology, human-machine interactions with chatbots, and bilingual consumer behavior. His work examines linguistic mechanisms underlying persuasion and decision-making. Recent publications investigate linguistic markers in chatbot interactions, grammatical influences on persuasion, ethnic identity motivations, and multisensory brand experiences. His research consistently bridges theoretical linguistics with practical marketing applications.

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Kai Fong Ernest ChongView profile

Assistant Professor

Singapore University of Technology and DesignSingapore

Kai Fong Ernest Chong is an Assistant Professor in the Information Systems Technology and Design (ISTD) pillar at Singapore University of Technology and Design (SUTD). He also served as an adjunct assistant professor at Nanyang Technological University's Division of Mathematical Sciences. His research focuses on combinatorics, commutative algebra, and artificial intelligence, particularly in algebraic machine reasoning and robust AI systems. He leads SUTD's thrust on the fundamentals of AI systems and has secured over SGD 8.3 million in research grants as principal investigator (PI) or co-investigator (Co-I). Ernest holds a PhD in Mathematics from Cornell University (2015) under Edward Swartz. He has extensive teaching experience, including courses on algorithms, discrete mathematics, and probability. His work includes pioneering algebraic machine reasoning, connecting commutative algebra to AI, and developing frameworks for federated learning and robustness against data noise. Notable achievements include a 2023 breakthrough in algebraic machine reasoning surpassing human performance in IQ test tasks and a 2003 National Science Talent Search Grand Prize for his work on twin primes. He supervises numerous PhD, master’s, and postdoctoral researchers and actively collaborates with industry partners through projects like ASTRALIS and Alpha-DRACONIS.

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Nuutti HyvönenView profile

Professor

Aalto UniversityFinland

Nuutti Hyvönen is a Professor and Head of Department at the Department of Mathematics and Systems Analysis, Aalto University, School of Science. His research focuses on inverse problems, electrical impedance tomography, and numerical analysis with applications in biomedical imaging and engineering. He holds a Doctor of Science (Technology) degree and has extensive experience in developing mathematical methods for imaging and reconstruction algorithms. His work emphasizes improving the accuracy and robustness of tomographic techniques, particularly in handling modeling errors and electrode configurations. Key research areas include: Inverse problems for partial differential equations Electrical impedance tomography (EIT) and its biomedical applications Bayesian experimental design and uncertainty quantification Numerical methods for nonlinear imaging problems Recent publications highlight advancements in: Optimal electrode positioning Series reversion methods in Calderón problems Feasibility of EIT for monitoring intracerebral hemorrhages Edge-enhancing reconstruction algorithms He has contributed to over 79 peer-reviewed articles, with notable work on monotonicity-based reconstruction methods and stochastic Galerkin finite element approaches. His research bridges mathematical theory and practical applications in medical imaging, engineering, and computational science.

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Leigh GrantView profile

Lecturer

Charles Sturt UniversityAustralia

Dr. Leigh Grant is a Lecturer in the Department of Psychology at Charles Sturt University, actively engaged in research focused on gambling psychology, cognitive biases, and educational assessment methodologies. Their work integrates behavioral science with pedagogical innovation to address both gambling-related behaviors and academic integrity in higher education. Research Interests: Investigates cognitive mechanisms underlying problem gambling, including attentional bias and near-win illusions Develops assessment tools for measuring psychosocial needs and ethical behavior in university students Pioneers innovative educational methods including reflective e-portfolios and interactive oral assessments Examines intersections between hope, belongingness, and academic misconduct Publication analysis reveals consistent focus on: gambling decision-making (45%), educational assessment reform (30%), student well-being (15%), and cognitive bias mechanisms (10%). Recent work shows increased emphasis on AI ethics in academia and multidimensional behavioral scales. Awards & Recognition: Charles Sturt University Change One Thing Award (2024) Regional Universities Network Australia Learning and Teaching Awards Finalist (2024) Dr. Grant maintains professional membership with the Higher Education Research and Development Society of Australasia (HERDSA) from 2024-2025. Current research continues at Charles Sturt University without evidence of supervised students or external grants.

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Robert BrothertonView profile

Lecturer

Barnard CollegeUnited States

Robert Brotherton is a Lecturer in the Department of Psychology at Barnard College , Columbia University. His research focuses on the cognitive and psychological mechanisms underlying belief in conspiracy theories, misinformation susceptibility, and epistemic reasoning. Academic Rank: Lecturer Institution: Barnard College Contact: rbrother@barnard.edu Brotherton's work explores how cognitive biases such as pattern perception, intentionality attribution, and probabilistic misjudgments contribute to conspiratorial thinking. His studies often bridge experimental psychology with societal challenges like pandemic-related misinformation. His recent publications highlight the interplay between boredom proneness, paranoia, and conspiracy theories (2015), cognitive vulnerabilities during crises (2021), and foundational frameworks for measuring conspiracist ideation (2013). Key themes include epistemic uncertainty, social cognition, and the psychology of belief systems.

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Jason ClarkeView profile

Lecturer

University of West LondonUnited Kingdom

Jason Clarke is a Lecturer in Psychology at the University of West London, affiliated with the School of Human and Social Sciences. He holds a B.A. (Hons) in Classical Studies from University College London, an M.A. and Ph.D. in Psychology from The New School for Social Research. His career includes roles as a Postdoctoral Teaching and Research Fellow in the Sensation and Perception Laboratory at The New School (2014–2017), Visiting Assistant Professor at SUNY Farmingdale (2018–2020), and part-time lecturing at institutions like the City University of New York and Princeton University. Clarke’s research focuses on cognitive processes underlying visual perception, time perception, and consciousness. He integrates predictive processing frameworks (e.g., Free Energy Principle) to explore how expectation and attention shape conscious experience. His book, *Constructing Experience: Expectation and Attention in Perception* (2024), synthesizes empirical findings on inattentional blindness and change blindness. Key research directions include the role of generative models in perception and the quantum/classical probability debate in cognition. Education : B.A. Classical Studies, University College London M.A. Psychology, The New School for Social Research Ph.D. Cognitive Psychology, The New School for Social Research Teaching : Cognitive Psychology Cognitive Neuroscience Sensation and Perception His PhD students Becky Tyler (attention-expectation interactions) and Gergely Gerstmayer (gravity’s impact on time perception) extend his work into applied domains like spaceflight adaptation and virtual reality. Clarke’s research aligns with UN SDGs 3 (Health), 4 (Education), and 9 (Innovation). Clarke has contributed to courses across undergraduate and postgraduate programs at UWL, including BSc Psychology, MSc Psychology of Mental Health, and PhD Psychology.

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Stefan GumholdView profile

Professor

Dresden University of TechnologyGermany

Professor Stefan Gumhold is a leading academic in computer graphics and visualization at TU Dresden. He has held roles including Head of the Chair for Computer Graphics and Visualization since 2005 and served as Dean of the Faculty of Computer Science from 2010 to 2012. His expertise spans visualization techniques, medical imaging, and immersive technologies. Gumhold earned his Ph.D. in 2000, focusing on mesh compression, and later received a Dissertation Award in the same year. He has contributed to projects like the Heisenberg Scholar Research Group and led the Kommission Umwelt at TU Dresden. His teaching includes courses such as Introduction to Computer Graphics, Data Visualization, and Scientific Visualization. Gumhold’s research emphasizes visualization platforms (e.g., ISAAC), image fusion, and neural network applications in medical diagnostics. His work often integrates virtual reality for data analysis, as seen in tools like VRCellLabeler and ExtremeWeatherVis. Education: Diploma in Computer Science (University of Tübingen, 1998), M.Sc. in Applied Physics (University of Massachusetts Boston, 1996). Research Highlights: Development of visualization frameworks, 3D reconstruction, and invertible neural networks for outlier detection. Awards: Dissertation Award 2000. Grants & Labs: Leadership in TU Dresden’s Computer Graphics lab and contributions to collaborative research projects like Fast-Haptic.

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Andrew CaplinView profile

Professor

University of ZurichSwitzerland

Andrew Caplin is a Silver Professor of Economics at New York University's Department of Economics. He leads the Sloan Foundation Program on Cognitive Economics at Work and has made groundbreaking contributions to cognitive economics, behavioral macroeconomics, and human-AI collaboration. NYU Department of Economics Sloan Foundation Program on Cognitive Economics at Work Copenhagen Life Panel (CLP) research His research spans cognitive economics, focusing on decision-making mistakes, AI integration in economic systems, and housing finance reforms through equity-sharing mortgages. He developed novel frameworks for measuring subjective earnings risk, economic decision-making skills, and collaborative human-AI protocols in medical and financial contexts. Scientific Awards Sloan Foundation Program leadership Caplin's work examines belief calibration, rational inattention, and career trajectory dynamics. His Copenhagen Life Panel leverages Danish administrative data to study labor market transitions and economic well-being across life cycles, while his equity-sharing mortgage research addresses housing affordability through market design innovations.

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