جست‌وجوی استاد و پژوهشگر

Saniye Vatanseverمشاهده پروفایل

استادیار

• Kant
• Early Modern Philosophy
• History of Modern Philosophy
• +۹ مورد دیگر

Saniye Vatansever is an Assistant Professor specializing in Kant and Early Modern Philosophy. She holds a Ph.D. from the University of Illinois, Chicago, USA, and is actively engaged in scholarly research and publication in both international and Turkish academic venues. Research Interests: Kantian Philosophy Early Modern Philosophy Epistemology and Moral Philosophy Enlightenment and Aesthetics History of Modern Philosophy with focus on Hume, Leibniz, and Plato Intersections between Ancient and Modern Thought (Stoicism, Epicureanism, and Kant) Her recent publications reveal a consistent focus on Kant’s critical philosophy, particularly on autonomy, the highest good, aesthetic judgment, and Enlightenment. She also explores Kant’s philosophical relationships with rationalist and empiricist traditions, including Leibniz and Hume. Her work bridges historical analysis and systematic philosophical inquiry, often connecting Kantian themes with ancient sources such as Stoicism and Epicurus. Selected Scientific Contributions: Forthcoming contributions to Cambridge University Press and Springer/Metzler Publications in AHCI and ESCI-indexed journals such as International Journal of Philosophical Studies , HOPOS , and International Journal for Philosophy of Religion Active contributions to major international Kant congresses and edited volumes She has no listed scientific awards or students in the provided text. There is no mention of grants, advising roles, or institutional affiliations beyond her doctoral background. She publishes in both English and Turkish, indicating a dual academic engagement in international and national philosophical discourse.

Daniel Reidenbachمشاهده پروفایل

استاد

• Formal Language Theory
• Combinatorics on Words
• Algorithmic Learning Theory
• +۳ مورد دیگر

Professor Daniel Reidenbach is the Head of School of Computing and Mathematical Sciences at Birkbeck, University of London. Previously, he served as Head of the Department of Computer Science at Loughborough University (2018–2022) and as Professor of Theoretical Computer Science and Head of the School of Computer Science and Mathematics at Keele University (2022–2025). He holds a PhD in Computer Science from the University of Kaiserslautern (Germany, 2006). His research focuses on formal language theory, combinatorics on words, and algorithmic learning theory. He has made significant contributions to solving longstanding open problems in these areas, particularly in pattern analysis, symbolic sequence properties, and ambiguity reduction in formal languages. His work has been recognized through international academic prizes. Reidenbach’s articles often address theoretical challenges in discrete mathematics, such as the Billaud conjecture and Parikh matrix ambiguity. His publications span leading journals and conference proceedings, including the 12th International Conference on Combinatorics on Words (2019). He is affiliated with the Mathematics Genealogy Project, where his academic lineage and supervision activities are documented. As a leader in his field, he has held administrative roles in multiple universities, contributing to departmental governance and strategic academic planning. His research interests bridge theoretical foundations and algorithmic applications, with a focus on advancing computational methods for linguistic and combinatorial problems.

Christoph Mathejaمشاهده پروفایل

دانشیار

• Formal Verification
• Probabilistic Programming
• Software Systems Engineering
• +۸ مورد دیگر

Christoph Matheja is an Associate Professor at the Technical University of Denmark , affiliated with the Department of Applied Mathematics and Computer Science . His work focuses on formal verification, probabilistic programming, and software systems engineering. Research Highlights : Operational semantics for probabilistic programs, fixed-point characterizations of rewards in MDPs, and data-driven Petri net modeling for process mining. Publications span formal verification techniques, probabilistic programming paradigms, and tools for process mining, emphasizing interdisciplinary applications in computer science and software engineering. Scientific Awards : POPL 2021 Distinguished Paper Advising & Grants : Supervises PhD students in automated reasoning about randomized algorithms, with project funding active from 2023 to 2026. Professional Activities : Serves on committees for ACM SIGPLAN Symposium on Principles of Programming Languages (2022–present), International Conference on Computer Aided Verification (2023–present), and Formal Methods Symposium (2022–present). Organizer of the 2022 Workshop on Verification of Probabilistic Programs.

• Weigh-in-Motion Systems
• Vehicle Weighing
• Sensor Technology
• +۵ مورد دیگر

Piotr Burnos serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His office is located in room 211 of building B-1 (second floor), with contact details including telephone +48 12 617 28 27 and email burnos@agh.edu.pl. Burnos specializes in Weigh-in-Motion (WIM) technology for vehicle enforcement, focusing on sensor accuracy under real-world conditions including temperature fluctuations and pavement mechanics. His research addresses critical challenges in dynamic vehicle weighing systems, particularly for administrative enforcement applications where measurement precision directly impacts road infrastructure protection and legal compliance. Key contributions include thermal error compensation, multi-sensor fusion, and Polish implementation frameworks. Analysis of his 15 most recent publications (2015-2018) reveals consistent advancement in WIM system reliability through temperature modeling, pavement interaction studies, and administrative integration. His work bridges metrological precision with practical enforcement needs, emphasizing Polish regulatory contexts while contributing to broader transportation engineering knowledge. No scientific awards were documented in the source materials. While specific student advisement or grant information isn't provided in available sources, Burnos' research demonstrates sustained focus on applied transportation engineering problems with direct societal impact through infrastructure protection and regulatory enforcement.

• Educational Psychology
• Cooperative Learning
• Transactive Communication
• +۴ مورد دیگر

Prof. Dr. Martin Hänze is a Professor of Educational Psychology at the University of Kassel since 2005. His academic career includes prior professorships at the Technical University of Berlin, University of Siegen, and University of Giessen, alongside research and teaching roles at various institutions. Education: Diplom-Psychologe, University of Göttingen (1990) Promotion zum Dr. phil., University of Kassel (1993) Habilitation, University of Kassel (2001) Research Interests: Martin Hänze’s work focuses on cooperative learning, transactive communication, and pedagogical strategies in higher education and secondary schools. Key areas include cognitive and emotional factors affecting learning, student collaboration, and instructional design for transactive dialogue. Recent Publications: His research emphasizes structured interventions to enhance cooperative learning outcomes, such as training transactive communication, heuristic worked examples in mathematics, and the role of digital media in teacher education. Articles span topics like student motivation, knowledge co-construction, and scaffolding in science education. Grants & Projects: Active projects include DFG-funded studies on sustainable learning mechanisms and BMBF-supported initiatives like PRONET-D, focusing on digital education networks. Past projects address interprofessional learning, cross-age tutoring, and self-directed science instruction. Editorial Roles: He serves on editorial boards for journals like Instructional Science and Educational Psychology , and as a reviewer for numerous educational and psychological publications.

Brenden M. Lakeمشاهده پروفایل

دانشیار

• Computational cognitive modeling
• Machine learning
• Structured probabilistic models
• +۱۶ مورد دیگر

Brenden M. Lake is an Associate Professor of Psychology and Data Science at New York University, transitioning to Princeton University in Fall 2025 as an Associate Professor of Computer Science and Psychology. His work bridges human cognition and machine intelligence , focusing on computational models that explain cognitive phenomena while advancing AI capabilities. Research Themes: Few-shot concept learning, neuro-symbolic modeling, grounded language acquisition from child input, systematic generalization in neural networks, and human-inspired inductive biases. Lab Affiliation: Human & Machine Intelligence Lab at Princeton (formerly NYU’s Human & Machine Learning Lab), utilizing child-centric data and meta-learning frameworks. Scientific Recognition: MIT Technology Review 35 Under 35 (2019) Society of Mathematical Psychology Outstanding Paper Award (2018) Academic Contributions: Pioneering research on few-shot learning, program induction, and systematic generalization in humans and machines. His Nature (2023) and Science (2024) publications demonstrate how human cognitive mechanisms can enhance AI systems.

Mahir Emrah Aktuncمشاهده پروفایل

مدرس

• Working Memory
• Neuroimaging
• Inductive Reasoning
• +۵ مورد دیگر

Mahir Emrah Aktunc serves as a Lecturer in Cognitive Science at Rensselaer Polytechnic Institute (RPI), based in Sage 3203. Holding a Ph.D. in Science and Technology Studies from Virginia Polytechnic Institute and State University, an M.A. in Psychology from the University of Iowa, and a B.A. in Psychology from Koc University, he brings extensive interdisciplinary expertise to his role. His teaching portfolio spans undergraduate and graduate courses in cognitive science, research methods, statistics, logic, and philosophy of science across institutions in the U.S. and Turkiye. Education: Ph.D., Science and Technology Studies, Virginia Polytechnic Institute and State University M.A., Psychology, University of Iowa B.A., Psychology, Koc University Aktunc's research integrates empirical cognitive psychology with philosophical analysis, focusing on human working memory mechanisms, evidence evaluation in neuroimaging, inductive reasoning processes, and symbolic cognition frameworks. His methodology bridges laboratory neuroscience techniques with epistemological inquiry, particularly examining how theoretical assumptions influence fMRI data interpretation and memory model validation. This dual perspective enables novel critiques of methodological practices in cognitive science. His publication trajectory from 2004-2021 reveals consistent thematic evolution: early work established foundational memory paradigms (phonological similarity effects, word-learning stimuli), while mature research confronts epistemological challenges in neuroimaging (theory-ladenness, Duhemian problems, severe testing). Cross-cutting themes include error management in rule discovery and the interplay between cognitive architecture and scientific inference, reflecting his commitment to rigorous interdisciplinary synthesis. No scientific awards are documented in the provided materials. Dr. Aktunc currently teaches PSYC 4330: Introduction to Cognitive Neuroscience and PSYC 4450: Learning at RPI, mentoring students through empirical research design and philosophical analysis. While specific grant funding isn't detailed, his publication record indicates sustained scholarly productivity across cognitive psychology and philosophy of science venues.

Jon Nobleمشاهده پروفایل

مدرس

• Chemical Engineering
• Magnetic Materials
• Induction Heating
• +۳ مورد دیگر

Jon Noble is a Lecturer in the Department of Chemical Engineering at the University of Bath, specializing in electromagnetic heating technologies for sustainable chemical processes. His research directly contributes to UN Sustainable Development Goals through electrification of industrial reactors and renewable chemicals manufacturing. Education: MEng Chemical Engineering, University of Surrey (2001-2005) Research Interests: Dr Noble's work bridges chemical engineering and electromagnetic physics, focusing on induction heating systems, magnetic hysteresis modeling, and in-situ measurement techniques for chemical reactors. He develops novel approaches for temperature inference in particle beds and contact-free impedanceometry, with applications in catalytic processes and fossil fuel displacement. Publication Trends: His recent publications demonstrate cohesive advancement in radio-frequency heating for green chemistry, emphasizing energy loss modeling, scale-up analysis, and magnetic material characterization. Key themes include sustainable reactor design, real-time temperature monitoring, and magnetic-zeolite catalyst development for renewable chemical synthesis. Grants and Projects: Principal Investigator for 'Novel dual-functional magnetic-zeolite catalysts for renewable chemicals manufacture' (2019-present) UK Science Festival Outreach project (2021) involving Swindon community engagement MRes project on advanced radio-frequency applications for continuous flow reactions (2018-2019) Collaborations: He maintains active research partnerships with the Department of Physics at Bath, particularly with Professors Simon Bending and Adrian Hill, and contributes to the Centre for Sustainable Chemical Technologies' mission.

Baris Ozkanمشاهده پروفایل

استادیار

• Service Systems Engineering
• Value Co-Creation
• Business Process Management
• +۷ مورد دیگر

Baris Ozkan is an Assistant Professor at Eindhoven University of Technology, affiliated with the Department of Industrial Engineering and Innovation Sciences under the College of Engineering. His research focuses on Service Systems Engineering, with a particular emphasis on value co-creation in business processes, digital platforms, and mobility ecosystems. PhD in Information Systems (2012) from Middle East Technical University MSc in Software Management (2006) from Middle East Technical University Former Assistant Professor at Atılım University, Turkey His methodological expertise spans Design Science Research, Bayesian inference, and Grounded Theory, applied to domains like business process maturity assessment and digital transformation. Current research explores mobility service ecosystems and collaborative business models for sustainable solutions. Key scientific contributions include systematic reviews on MaaS acceptance factors and capability maturity models for data analytics. He actively participates in international conferences (ICIS, ECIS) and serves as a reviewer for journals like Information and Software Technology.

Yong Chenمشاهده پروفایل

استادیار

• statistical methods for electronic health record data
• meta-analysis
• mathematical statistics
• +۳ مورد دیگر

Yong Chen, PhD, is an Assistant Professor of Biostatistics specializing in advanced statistical methodologies for healthcare data analysis. His research bridges biostatistics, machine learning, and real-world evidence generation with significant contributions to federated learning frameworks and meta-analytic techniques. His core research interests include: Statistical methods for electronic health record data Meta-analysis and network meta-analysis Mathematical statistics with healthcare applications Federated learning for decentralized research networks Causal inference methods for observational data Real-world evidence generation in rare diseases Analysis of Dr. Chen's 2025 publications reveals a dominant focus on privacy-preserving distributed analytics for multi-site healthcare studies, particularly through one-shot lossless algorithms (e.g., COLA-GLM). His work demonstrates methodological innovation in addressing unmeasured confounding through negative control calibration and advancing multitask learning frameworks. Key application areas include SARS-CoV-2 sequelae analysis, neuropsychiatric outcomes, and disparities in obesity treatment access, consistently leveraging electronic health records for real-world evidence generation. Scientific recognition: FACMI (Fellow of the American College of Medical Informatics)

• Software Quality
• Aesthetics in Programming
• Probability and Statistics
• +۵ مورد دیگر

Asst. Prof. Lachezar Tomov, PhD is a faculty member at the Department of Informatics , New Bulgarian University (NBU), with 14+ years of experience in software engineering, optimization methods, and web programming. His research spans software quality, programming aesthetics, probability/statistics, and the history/philosophy of science. He collaborates with Medical University-Sofia and BAS Institute of Mathematics and Informatics on epidemiological studies, particularly in infectious diseases and COVID-19 pandemic modeling. Research Interests include: Software Quality and Aesthetic Metrics Epidemiological Modeling and Medical Statistics Risk Management and Statistical Process Control History/Philosophy of Science and Mathematics Crosstalk between Liberal Arts and STEM Scientific Awards : 2021 BAIT Award - First Place in Practical IT Teaching SUPER STEM AMBASSADOR Gold Medal (2021-2023) Grant Collaborations : NBU Long-Term Energy Consumption Forecasting Project (2016) MU-Sofia Hepatitis A Clinical Data Modeling (2020) NBU Faculty Interdisciplinary Conference (2022) Central Development Fund Project #1603 (2022) Labs & Teams : Collaborates with NBU Risk Analysis Laboratory , multidisciplinary teams at Medical University-Sofia, and contributes to open-access science platforms like BG Nauka and Venets journal.

Joe Watsonمشاهده پروفایل

پژوهشگر

• Robot Learning
• Machine Learning
• Bayesian Inference
• +۵ مورد دیگر

Joe Watson is a Postdoctoral Researcher at the University of Oxford within the Applied Artificial Intelligence Lab at the Oxford Robotics Institute . He earned his PhD in 2024 from the Technical University of Darmstadt , supervised by Prof. Jan Peters, and holds an MEng in Information & Computer Engineering from University of Cambridge . His research focuses on statistical methods for robot learning , particularly the duality between entropy-regularized optimization and Bayesian inference. Key interests include uncertainty quantification , policy optimization , and incorporating structural knowledge into robotics. Scientific contributions include Coherent Soft Imitation Learning (NeurIPS 2023, spotlight) and Monte Carlo Posterior Policy Iteration (CoRL 2022, oral). Recent publications address safe foundation models and tensor motion planning in 2025. 2022 : R:SS Pioneer for robotics research 2016 : Charles Babbage Senior Scholarship at Cambridge He has contributed to open-source projects like i2c and monte-carlo-posterior-policy-iteration , with 534 GitHub contributions in the last year.

Niranjan Balasubramanianمشاهده پروفایل

استادیار

• Natural Language Processing
• Information Retrieval
• Question Answering
• +۳ مورد دیگر

Niranjan Balasubramanian is an Assistant Professor in the Department of Computer Science at Stony Brook University with additional affiliations in the Department of Biomedical Informatics and the Center of Excellence in Wireless & Information Technology (CEWIT). His research focuses on Natural Language Processing and Information Retrieval systems that extract, understand, and reason over textual information. Education: PhD, University of Massachusetts Amherst (Center for Intelligent Information Retrieval) MS, Computer Science, University at Buffalo (2003) His research spans question answering for elementary education, event schema generation from news, machine learning for information retrieval, energy-efficient mobile search, and automatic Wikipedia content generation. Recent work explores causal reasoning in event extraction, multimodal claim verification, authorship fairness, and secure coding with large language models. Analysis of his 15 most recent publications (2024-2025) reveals intensive focus on advancing NLP through causal/temporal reasoning, multimodal verification, and LLM optimization. Key trends include psychological modeling of human language, energy-efficient architectures, and addressing misattribution in authorship analysis. Scientific Awards: No awards mentioned in provided text Advising and grants information was not provided in the source materials. His postdoctoral background at the University of Washington's Turing Center and industry experience at Syracuse University's Center for Natural Language Processing inform his applied research approach. Labs and Teams: Affiliated with Stony Brook's Center of Excellence in Wireless & Information Technology (CEWIT), contributing to interdisciplinary AI initiatives while maintaining primary focus in the Computer Science department.

Sebastian Enqvistمشاهده پروفایل

مدرس ارشد

• Logic
• Philosophical Logic
• Computational Logic
• +۸ مورد دیگر

Sebastian Enqvist serves as a Senior Lecturer and docent at the Department of Philosophy, Stockholm University. His academic work bridges philosophical, computational, and mathematical dimensions of logic. His primary research interests include: Logics of fixpoints, inductive and co-inductive definitions Computational content of proofs Non-wellfounded proof systems Co-algebras and Automata theory Modal logic and Game theory Philosophy of logic and mathematics Enqvist currently leads the research project "Circular reasoning: exploring the power of non-wellfounded proofs," which challenges traditional proof theory by investigating systems where conclusions can be assumed as premises within never-ending inference chains. His work reexamines circular reasoning not as fallacious but as potentially legitimate within specific logical frameworks. Contact information: Email: sebastian.enqvist@philosophy.su.se Workplace: Department of Philosophy, Universitetsvägen 10 D, plan 7, 106 91 Stockholm

Christian Wiesnerمشاهده پروفایل

استاد

• Developmental Pedagogy
• Relationship Pedagogy
• Diversity Pedagogy
• +۹ مورد دیگر

Professor Christian Wiesner is a University Professor of Relationship and Developmental Pedagogy as well as Pedagogy of Diversity at the University College of Teacher Education Lower Austria (Pädagogische Hochschule Niederösterreich). He serves as Academic Director of the university course with Master's degree "Pedagogy of Diversity - emotional, prosocial and social development." Previously, he was responsible for the review of educational standards in Austria at the Austrian Federal Institute for Educational Research, Innovation and Development (BIFIE). His academic affiliations span multiple institutions including the University of Vienna, University of Salzburg, University of Innsbruck, and University of Music and Performing Arts Vienna. Professor Wiesner's research focuses on developmental pedagogy, relationship pedagogy, diversity education, mentoring, educational leadership, and transformative learning. His work integrates phenomenological approaches with attachment theory to understand educational processes, particularly examining the didactic triangle, student-teacher relationships, and professional identity development. A member of both the Society for New Phenomenology and the International Ernst Cassirer Society, his theoretical framework draws heavily on semiotics and phenomenology. Analysis of his recent publications (2023-2024) reveals a strong emphasis on care ethics, futures literacy, teacher well-being, and social-emotional learning. His research consistently bridges theoretical frameworks with practical applications in educational settings, with particular attention to evidence-based approaches to school development and mentoring practices. The work shows increasing collaboration with international researchers across Europe, particularly in projects focused on teacher well-being and social-emotional learning interventions. Jurymitglied Medida-Prix 2003, Mediendidaktischer Hochschulpreis der Gesellschaft für Medien in der Wissenschaft (GMW) Professor Wiesner actively supervises research through multiple funded projects including OPEN2chat (2020-present), COMET for Kids (2023-2026), and Teaching to be (Erasmus+ Project, 2021-2024). His mentoring approach emphasizes relational aspects of professional development, viewing mentoring as "a space of possibility" that fosters both personal and professional growth. As Academic Director of the Master's program in Pedagogy of Diversity, he oversees a significant graduate education program focused on emotional, prosocial, and social development. Professor Wiesner leads the OPEN2chat research platform, which serves as a hub for his work on relationship pedagogy, mentoring, and care ethics in educational contexts. This platform connects multiple research projects focused on social-emotional learning, teacher well-being, and evidence-based educational practices. His team includes collaborators from Karl Landsteiner University of Health Sciences, Caritas Niederösterreich, and the Ludwig Boltzmann Gesellschaft, reflecting the interdisciplinary nature of his work.