جست‌وجوی استاد و پژوهشگر

• Cognitive Psychology
• Decision Making
• Bayesian Modeling
• +۳ مورد دیگر

Professor Michael Robert Oaksford leads the Department of Psychological Sciences at Birkbeck, University of London, since 2005. He has transformed the department into a leading UK psychology hub, enhancing research quality and securing significant grants. His academic journey began with a Philosophy and Psychology degree at Durham (1982) and a PhD at Edinburgh (1989), focusing on conditional reasoning's cognitive and logical paradoxes. Previously, he held roles at Bangor, Warwick, and Cardiff universities. His research explores human reasoning and argumentation through Bayesian probabilistic models, challenging traditional logical frameworks. Key contributions include probabilistic accounts of conditional reasoning, emotional influences on decision-making, and critiques of dual-process theories. He argues that apparent 'rationality errors' reflect sensitivity to Bayesian probabilities rather than logical flaws. Oaksford's awards include the British Psychological Society Cognitive Section Award (1995), Spearman Medal (1995), and Fellowships from the British Psychological Society (2001) and Association for Psychological Science. His work bridges cognitive science, philosophy, and artificial intelligence, emphasizing real-world reasoning contexts over lab-based models. He has championed interdisciplinary collaboration, integrating computational modeling, experimental psychology, and philosophical analysis. His personal interests include coastal exploration, water sports, and rugby, reflecting a balance between academic rigor and personal passions.

• Maritime Sector
• Port State Control
• Energy Efficiency Design Index
• +۴ مورد دیگر

Fırat Bolat serves as a Professor in the Department of Marine Engineering at Istanbul Technical University. His research focuses on critical maritime safety and environmental issues, with particular expertise in Port State Control, Energy Efficiency Design Index compliance, and human error analysis in cargo operations. His research interests span the Maritime Sector , Port State Control , Energy Efficiency Design Index , CO2 Reduction , Human Error Probability , and Detention analysis. His work addresses regulatory compliance, environmental sustainability, and operational safety challenges within international shipping. Analysis of his publication trends reveals consistent focus on maritime regulatory frameworks (particularly Paris Memorandum of Understanding), environmental compliance metrics, and human factors engineering. His recent work (2021-2025) shows increasing emphasis on cybersecurity threats to navigation systems and alternative fuel implementation for emission reduction. SASAKAWA FELLOWSHIP (2016) Professor Bolat's research contributes significantly to maritime safety frameworks and environmental compliance metrics. His work on port state control analysis and human error probability modeling provides practical insights for regulatory bodies and shipping companies seeking to improve operational safety and environmental performance.

Yunus Emre Şenolمشاهده پروفایل

استادیار

• Maritime Safety
• Risk Analysis
• Human Factors
• +۳ مورد دیگر

Yunus Emre Şenol serves as an Assistant Professor at Istanbul Technical University within the Department of Maritime Transportation and Management Engineering. His academic role involves research and teaching in maritime safety, risk management, and transportation engineering. With an h-index of 7 according to Scopus, he has published 17 research outputs since 2014, including 16 journal articles and one conference contribution, reflecting a consistent research trajectory in maritime domains. Dr. Şenol's research spans critical areas of maritime safety, including cargo risk analysis (particularly for nickel ore and chemical cargoes), human factors in vessel operations, and high-speed craft navigation. He employs advanced methodologies such as Fault Tree Analysis, Failure Mode and Effects Analysis, and machine learning to address complex safety challenges. His work often integrates fuzzy logic and data-driven approaches to model human error probabilities and environmental impacts, contributing to safer and more efficient maritime transportation systems. Analysis of his 17 publications (2014-2025) reveals a growing emphasis on computational methods in maritime risk assessment. Recent works (2023-2025) increasingly utilize machine learning for ship risk profiling in the Turkish Straits and emissions prediction during maneuvering. His research also consistently addresses cargo safety through innovative risk analysis frameworks, demonstrating a cohesive focus on enhancing maritime operational safety through technological and methodological advancements. Dr. Şenol has secured research funding for the Thermotech (Atık Isıdan Elektrik Üretimi) project (2022-2023), which focused on electricity generation from waste heat. While the scraped text does not list any students, his role as a faculty member suggests potential advising responsibilities. No additional grants or collaborative projects beyond Thermotech are detailed in the provided information.

Seher Suendam Arıcıمشاهده پروفایل

پژوهشگر

• Maritime Safety
• Human Factors Engineering
• Risk Assessment
• +۲ مورد دیگر

Seher Suendam Arıcı is a Researcher in the Department of Maritime Transportation and Management Engineering at Istanbul Technical University, Turkey. Her work focuses on enhancing safety in maritime operations through advanced risk modeling and human reliability analysis. Her research expertise includes: Maritime Safety Systems Human Factors in Ship Operations Probabilistic Risk Assessment Reliability Engineering Applications Tanker-Specific Safety Protocols Dr. Arıcı employs cutting-edge methodologies including Bayesian networks, fuzzy logic, Z-numbers, and CREAM to address critical safety challenges. Her publication trends (2020-2025) reveal concentrated research on electrical fire risks in tanker accommodations, human error prediction in chemical tanker heating processes, and LNG bunkering safety. Notable contributions include developing predictive models for helicopter transfer operations and emergency fire pump reliability, with work published in Ocean Engineering and Journal of Marine Science and Application.

Alexander Stottmeisterمشاهده پروفایل

پژوهشگر

• Quantum Field Theory
• Quantum Information Theory
• Operator Algebras
• +۴ مورد دیگر

Dr. Alexander Stottmeister is a researcher and group leader at the Institute of Theoretical Physics within the Faculty of Mathematics and Physics at Leibniz University Hannover. His primary research focuses on theoretical and mathematical aspects of quantum theory at the intersection of quantum information theory and quantum field theory. His group explores foundational concepts such as operator-algebraic renormalization, quantum simulation algorithms with error bounds, and applications of classical probability methods to the renormalization group. They also investigate mathematical frameworks for quantum theory, including Schmidt rank, embezzlement, and semi-group theory. Key research areas include: Renormalization group approaches using operator algebras and functional analysis Quantum simulation of conformal field theories Entanglement embezzlement in relativistic quantum fields Mathematical structures in quantum information and quantum field theory Notable achievements include the development of operator-algebraic renormalization techniques and contributions to understanding entanglement properties of quantum fields. His work is supported by the Stay Inspired program of Lower Saxony's Ministry of Science. Students advised include doctoral candidate Lauritz van Luijk and master's student Tobias Pahlke. Recent publications highlight advancements in entanglement embezzlement, lattice Green functions, and mathematical foundations of quantum systems.

Alexander Wenzمشاهده پروفایل

پژوهشگر ارشد

• Survey Methodology
• Digital Data Collection
• Web Surveys
• +۵ مورد دیگر

Alexander Wenz serves as a Research Fellow in Survey Methodology at the Mannheim Centre for European Social Research (MZES) at the University of Mannheim and holds the position of Vice President of the European Survey Research Association (ESRA) for 2023-2027. Within MZES, he operates in the Data and Methods Unit, providing comprehensive methodological consulting for survey design, data collection, and analysis across institute projects. Education: Ph.D. in Survey Methodology (2018), University of Essex B.A. in Politics and Public Administration (2014), University of Konstanz Dr. Wenz's research program centers on advancing digital data collection methodologies, with particular emphasis on identifying and mitigating representation and measurement errors across web surveys, smartphone applications, wearable sensors, and online panels. His work integrates social psychology with survey methodology to develop frameworks for improving participation rates and data validity in technology-mediated research contexts. Key contributions include typologies of digital divides and validation studies comparing self-reported behavior with digital behavioral data. Analysis of his 2019-2025 publications reveals consistent focus on mobile data collection challenges, with recurring themes including smartphone acceptance barriers, measurement discrepancies between survey and sensor data, and innovative strategies for enhancing representativeness. His work spans interdisciplinary venues including Survey Research Methods , Social Science Computer Review , and Mobile Media & Communication , demonstrating methodological rigor applied to contemporary digital research paradigms. Scientific Awards: No specific awards mentioned in source text As Principal Investigator for the Baden-Württemberg Stiftung-funded project "Acceptance of Smartphone Technologies for Social Science Data Collection" (2023-2026), Dr. Wenz leads development of theoretical frameworks explaining participation willingness in smartphone-based studies. His collaborative publication record shows extensive partnerships with leading survey methodologists across international institutions, though no student advising is documented. He actively shapes methodological discourse through co-organization of the Mannheim Research Colloquium on Survey Methods and the MZES Social Science Data Lab, creating platforms for advancing computational social science methodologies and fostering cross-institutional collaboration in survey innovation.

Peter Westمشاهده پروفایل

استادیار

• Natural Language Processing
• Artificial Intelligence
• Large Language Models
• +۳ مورد دیگر

Peter West is an incoming Assistant Professor at the University of British Columbia (UBC) Computer Science Department, specializing in Natural Language Processing (NLP) and AI. His research focuses on understanding the capabilities and limitations of large language models (LLMs) and generative AI systems, emphasizing their divergence from human intuition and alignment challenges. He holds a PhD from the University of Washington (2024), supervised by Yejin Choi, and a BSc (Honours Computer Science) from UBC (2017). His work has been recognized with awards including Best Method Paper at NAACL 2022 and Outstanding Paper awards at ACL 2023 and EMNLP 2023. He conducted internships at the Allen Institute for AI and Microsoft Research’s NLP group. Research interests include analyzing LLM behavior through a natural sciences lens, exploring model capabilities versus human expectations, and developing decoding algorithms to infuse models with algorithmic logic. His recent publications address generative AI paradoxes, constrained text generation, and symbolic knowledge distillation. He serves on panels for NeurIPS workshops and is beginning a postdoc at Stanford with Chris Potts. His research group at UBC seeks students interested in generative AI’s analytical frontiers.

Michael Aitken-Deakinمشاهده پروفایل

استاد

• Decision-Making
• Gambling
• Psychology of Risk
• +۴ مورد دیگر

Professor Michael Aitken-Deakin is a Professor of Experimental Psychology and Head of the Department of Psychology at King's College London. His academic career includes roles such as Director of BSc Psychology and Deputy Head of Department. He previously held positions at the University of Cambridge, including Deputy Director of Education in the School of Biological Sciences and a Fellowship at Selwyn College. He holds an MA (Cantab) and PhD in Experimental Psychology from Cambridge. His research focuses on decision-making, gambling behavior, associative learning, and mental health, with notable contributions to understanding cognitive processes in psychosis and addiction. He has authored/co-authored textbooks like Mathematics for Biological Sciences and Analysis of Variance for Behavioral Sciences Researchers , and was awarded the 2014 University of Cambridge Pilkington Prize for Teaching. His work spans experimental psychology, neurophysiology, and clinical applications, with collaborations in neuroscience and behavioral economics. Education: MA (Cantab), PhD in Experimental Psychology (University of Cambridge) Research interests include gambling psychology, decision-making under stress, and neural mechanisms of learning. His publications explore topics such as near-miss effects in gambling, cognitive biases in ASD, and the role of prediction errors in psychosis. He has advised on aviation decision-making under stress and contributed to studies on ketamine’s psychotogenic effects. He leads the Experimental and Social Psychology Research Group (EASY) at King’s College London.

• Artificial Intelligence
• Machine Learning
• Human-Computer Interaction
• +۱۶ مورد دیگر

Professor Damien Coyle is the Director of the Bath Institute for the Augmented Human at the University of Bath, where he leads cutting-edge research in artificial intelligence, machine learning, and human-computer interaction. His work is centered on brain-computer interfaces (BCI), neurotechnology, and cognitive computing, with applications in healthcare, rehabilitation, and intelligent systems. His research interests include Brain-Computer Interfaces , Spiking Neural Networks , Deep Learning , Emotion Recognition , Virtual and Extended Reality , and Neurofeedback Systems . He applies advanced AI techniques to decode neural signals, enabling real-time interaction between the brain and external devices. His interdisciplinary approach integrates neuroscience, computer science, and engineering. His recent publications from 2023–2024 reveal a strong focus on anomaly detection in industrial systems , EEG-fMRI data fusion for inner speech decoding , multi-level IT incident prediction using AI , and enhancing neurofeedback with immersive VR . These works demonstrate a trend toward multimodal data integration, real-time BCI applications, and AI-driven decision support in both clinical and technological domains. He has supervised numerous students and collaborators, many of whom are co-authors on his publications. His research is frequently published in top-tier IEEE and Springer conferences. He actively contributes to the advancement of neuroadaptive technologies and is involved in high-performance computing for BCI calibration. His leadership in organizing major conferences further underscores his influence in the field.

Rafał Urbaniakمشاهده پروفایل

دانشیار

• Formal Methods in Philosophy
• Legal Probabilism
• Algorithmic Fairness
• +۳ مورد دیگر

Rafał Urbaniak is an Associate Professor at the University of Gdańsk and a Kosciuszko Foundation Visiting Fellow at Northeastern University’s College of Social Sciences and Humanities (CSSH). His academic roles include running a National Science Centre project on legal probabilism and contributing to the Stanford Encyclopedia of Philosophy. Education: PhD in Philosophy from the University of Calgary, Canada. Previous fellowships include British Academy Visiting Fellow (2009), Trinity College Dublin Visiting Fellow (2012), and Postdoctoral Fellow at Research Foundation Flanders. Research interests focus on formal methods (especially probabilistic) applied to legal and social problems, including DNA evidence evaluation, algorithmic fairness, and formal epistemology. Recent work critiques DNA evidence reliability, emphasizing error rates in forensic analysis. Awards include the Bednarowski Trust Fellowship (2022) and Kosciuszko Foundation Fellowship (2021). His publications include edited volumes like *Applications of Formal Philosophy* (2017) and a monograph on Leśniewski’s logic systems (2013). Key projects involve probabilistic modeling of legal evidence, with publications analyzing false positives in DNA identification and contextual factors affecting forensic conclusions.

Helen Blankمشاهده پروفایل

استاد

• Predictive Cognition
• Speech Perception
• Face Perception
• +۷ مورد دیگر

Prof. Dr. Helen Blank is a Professor of Predictive Cognition at Ruhr University Bochum, affiliated with the Faculty of Psychology and the Research Department of Neuroscience. She leads the Prediction in Communication Lab within the Research Center One Health Ruhr of the University Alliance Ruhr. Her research focuses on understanding how the brain integrates sensory signals with prior expectations, particularly in speech and face perception under uncertainty. Her research interests center on predictive processing in human cognition, exploring how expectations shape perception through mechanisms like predictive coding. She investigates how humans adapt to changing contexts, learn from experiences, and generalize prior knowledge to new sensory inputs. Her work spans multiple domains including speech perception, face recognition, and the neural mechanisms underlying these processes. Prof. Blank's recent publications demonstrate a strong focus on prediction error processing, serial effects in perception, and how expectations guide information sampling. Her work combines computational modeling with advanced neuroimaging techniques, revealing how prior expectations influence sensory processing across different modalities. She is actively mentoring students and postdocs, as evidenced by numerous recent publications with junior researchers. Her lab has access to significant infrastructure including a 3T human MRI, High-Performance-Computing Cluster, and multiple laboratories for electrophysiological and behavioral studies.

Veronica Humanityمشاهده پروفایل

دانشیار

• Probability
• Mathematical Statistics
• Operator Algebras
• +۲ مورد دیگر

Veronica Humanity serves as an Associate Professor in the Department of Mathematics (DIMA) at the University of Genoa, Italy, within the School of Mathematical, Physical and Natural Sciences. She holds a position on the Joint Teacher-Student Commission and teaches advanced courses including Operator Algebras for the Master's Degree in Mathematics, Calculus 2 for Computer Science, and Stochastic Processes for Mathematical Statistics and Computer Data Processing programs. Her research centers on Quantum Probability and Operator Algebras, with specialized focus on quantum Markov semigroups, decoherence-free subalgebras, and invariant states. She investigates mathematical structures governing open quantum systems, contributing to quantum information theory through rigorous analysis of covariance relationships, stability basins, and projection invariance in quantum stochastic processes. Her work bridges abstract operator algebra with practical quantum computing applications. Professor Humanity's publication record (2019-2023) demonstrates consistent advancement in quantum stochastic modeling, particularly through collaborative work with Emanuela Sasso and Franco Fagnola. These studies systematically explore structural properties of quantum Markov processes across multiple dimensions including dynamical stability, error correction frameworks, and symmetry preservation, establishing cohesive contributions to the mathematical foundations of quantum information science.

Simon Aeschbacherمشاهده پروفایل

پژوهشگر ارشد

• Population Genomics
• Speciation
• Local Adaptation
• +۵ مورد دیگر

Simon Aeschbacher is an Independent Research Fellow at the Department of Evolutionary Biology and Environmental Studies, University of Zurich. His work bridges mathematical theory, computational methods, and genomic data to address fundamental questions in evolutionary biology. His educational background includes: M.Sc. in Zoology (2007) and undergraduate studies (2001-2003) at University of Zurich Ph.D. in Evolutionary Biology (2008-2011) at University of Edinburgh/IST Austria under Nick Barton Postdoctoral positions at University of Vienna (2011-2013), UC Davis (2014-2016), and University of Bern (2017) Aeschbacher's research centers on population genomics, specializing in the interplay between gene flow, natural selection, and recombination. His work combines mathematical modeling with genomic analyses to investigate local adaptation, speciation, and human evolutionary history. Key contributions include developing methods for demographic inference and quantifying selection against gene flow. His publication record shows a clear trajectory from theoretical foundations (early work on linkage effects) to applied genomic methodologies (recent development of gIMble for barrier detection). Current research emphasizes human evolution, plant speciation, and hybridization dynamics across diverse taxa. Scientific recognition includes: Swiss NSF Advanced Postdoc.Mobility Fellowship While not explicitly mentioned in the text, his role as Independent Research Fellow implies grant leadership and potential mentoring responsibilities. His work with multiple international collaborators suggests active participation in research networks across Europe and North America.

João Niza Bragaمشاهده پروفایل

استادیار مدعو

• Consumer Behavior
• Marketing
• Intuition in Decision Making
• +۳ مورد دیگر

João Niza Braga serves as an Adjunct Assistant Professor and Post-doctoral Research Fellow at the Catholic University of Portugal, primarily affiliated with the Católica Lisbon School of Business and Economics while also teaching in the Faculty of Human Sciences. His academic roles encompass graduate instruction and research leadership at CUBE (Católica Lisbon Research Unit in Business and Economics). Braga holds advanced degrees in Psychology from the University of Lisbon, including both Master's and Ph.D. qualifications. His international research experience includes visiting positions at Indiana University and New York University. Ph.D. in Psychology, University of Lisbon Master's in Psychology, University of Lisbon His research program investigates intuitive cognitive processes in consumer behavior, economic decisions, and social interactions, with particular emphasis on heuristic processing in online contexts and hedonic experiences. Key contributions examine how representativeness and availability heuristics operate in consumer decision-making, sports prediction, and conspiracy thinking, bridging experimental psychology with real-world business applications. Current work explores digital environment effects on health-related choices and mindfulness interventions. Analysis of his 15 most recent publications (2015-2024) reveals a methodological focus on disentangling cognitive mechanisms through controlled experiments, with recurring themes in hot-hand fallacies, online shopping behavior, and causal perception errors. His work consistently applies psychological theory to business contexts, particularly in marketing and managerial decision-making. Scientific recognition includes: FCT Postdoctoral Research Grant (2017) As a Post-doctoral Research Fellow at CUBE, Braga directs funded research projects examining heuristic processing in digital environments while mentoring graduate students in consumer behavior methodology. His academic service includes developing curriculum for Master's programs across business and human sciences disciplines. He maintains active research collaboration through CUBE, a multidisciplinary hub fostering innovation in business and economics scholarship at Catholic University of Portugal, where his work integrates psychological science with practical business insights.

• Catchment Modelling
• Urban Hydrology
• Climate Change Impact on Flood Estimation
• +۳ مورد دیگر

James Ball is an Adjunct Professor at the School of Civil and Environmental Engineering , University of Technology Sydney. With a career spanning academia, consulting, and government roles, his expertise focuses on catchment modeling , urban drainage systems , and climate change impacts on hydrology. He has held positions at UNSW Australia and contributed to foundational guidelines like Australian Rainfall and Runoff . Education: Doctor of Philosophy, Master of Engineering, and Bachelor of Civil Engineering from the University of Newcastle, Australia. Research Interests: Development of catchment modeling systems for urban environments, integration of deep learning in land use/land cover classification, hydrological software calibration with genetic algorithms, and stormwater-green infrastructure interactions such as green roofs. Recent Trends: His 2024–2021 publications emphasize agent-based groundwater-society interactions , deep learning for impervious surface estimation , and hybrid machine learning methods for dam reservoir evaporation under climate change scenarios. Articles also address flood modeling accuracy , scour mitigation structures for bridges, and socio-hydrology in resource conflicts. Leadership: Editor-in-Chief of the International Journal of River Basin Management , editorial roles in Urban Water Journal , Hydrology , and Water Science and Technology . Past Vice-President of IAHR and technical editor for Australian Rainfall and Runoff . Supervision: Available for Masters and PhD student supervision . Funded Research: Projects include stormwater modeling , hydrological ensemble prediction , phosphorus release studies , and stochastic rainfall generation for flood estimation.