جست‌وجوی استاد و پژوهشگر

• Behavioral Economics
• Economic Pedagogy
• Education Research
• +۳ مورد دیگر

Mariya Burdina is an Associate Professor of Economics at the University of Central Oklahoma. She holds a Ph.D. and M.A. in Economics from the University of Colorado, an M.A. in Transportation Economics from North Dakota State University, and a B.B.A. in Management of Industrial Organizations from Kiev National Economic University. Her research focuses on behavioral economics, pedagogical strategies in higher education, and the interplay between socioeconomic factors and human behavior. Key research areas include the relationship between goal-setting and performance, effectiveness of teaching techniques for Generation Y/Z students, and the psychological impacts of environmental disasters like Chornobyl. She has published extensively on topics ranging from property crime analysis to stock market reactions to regulations, demonstrating expertise across applied economics domains. Burdina's work shows a trend towards interdisciplinary research, blending economics with education theory, public policy, and health sciences. Notable contributions include studies on Boston Marathon qualifying standards as performance benchmarks and the long-term psychosocial effects of nuclear accidents in Ukraine. She is also recognized for her 2019 Vanderford Distinguished Teacher Award, reflecting her commitment to innovative pedagogy. In advising and grants, while specific student names are not listed, her publications indicate active collaboration with researchers like N. Metz, S.L. Sasser, and R.S. Hiller. Her office is located in THH 214 (Box 103), and she can be reached at mburdina@uco.edu.

• Human-Robot Interaction
• Affective Computing
• E-commerce Search Algorithms
• +۴ مورد دیگر

Mingming Li is an active professor at the Chinese Academy of Sciences with extensive research contributions across multiple domains including human-robot interaction, e-commerce systems, and wireless communications. With over 110 publications spanning from 2007 to 2025, Dr. Li demonstrates consistent scholarly productivity and leadership in interdisciplinary research. Dr. Li's research interests span Human-Robot Interaction , Affective Computing , E-commerce Search Algorithms , Machine Learning , and Wireless Communications . Recent work focuses on understanding how humanoid robots' multimodal characteristics (appearance, voice, touch) affect users' emotional responses and cognitive processing, employing physiological measures like ECG and fNIRS. Simultaneously, Dr. Li leads research in e-commerce search optimization, developing novel deep learning architectures for improved recommendation systems. The publication record reveals significant trends toward increasingly sophisticated multimodal analysis in HRI and more efficient neural architectures for practical applications. Dr. Li's work bridges theoretical advancements in machine learning with practical implementations in human-centered systems. Dr. Li has advised numerous graduate students including Jiahao Chen, Aung Naing Win, and Songlin Wang, with whom collaborative publications demonstrate strong mentorship. Research has been supported by substantial funding reflected in the volume and quality of publications across top venues. Current research activities include leading projects on digital twin-based thermal error compensation, multimodal affective robot design, and advanced search algorithms for e-commerce platforms, indicating an active laboratory environment with multiple ongoing research threads.

• Cognitive Science
• Artificial Intelligence in Psychology
• Virtual Reality Applications
• +۳ مورد دیگر

Chiara Lucifora is a Junior Assistant Professor (fixed-term) at the Department of Philosophy, University of Bologna. Her research focuses on Cognitive Sciences, integrating Artificial Intelligence and Virtual Reality (VR) to study human cognitive and behavioral processes in ecological environments. She is an Associate Researcher at the Institute of Cognitive Sciences and Technologies (ISTC-CNR) in Rome and collaborates with national and international teams across computer science, philosophy, and neuroscience. As Lab Manager of the XR-GRACE Laboratory, she explores immersive technologies' impact on empathy, moral reasoning, and social cohesion. Her work bridges neuroscience, ethics, and technology, addressing topics like fear conditioning, vaccine hesitancy, and AI's role in creative processes. Education & Experience: Researcher at University of Bologna since 2023 Associate Researcher at ISTC-CNR, Rome Collaborations: IMT School for Advanced Studies Lucca, University of Messina, Human-Tech Institute, IfADo Lab Research Interests: VR applications in experimental psychology Cognitive processes in ecological environments Moral psychology and decision-making AI integration in psychological practice Neuroethical challenges in autonomous systems Her recent studies investigate fear extinction learning, vaccine hesitancy predictors, and empathy enhancement via VR. Lab & Teams: Leads the XR-GRACE Laboratory, focusing on extended reality (XR) for cognitive and social research. Collaborates across disciplines to develop innovative VR paradigms for therapeutic and educational applications.

Derek Raysideمشاهده پروفایل

دانشیار

• Autonomous Systems
• Software Engineering
• Formal Methods
• +۳ مورد دیگر

Derek Rayside is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, and serves as Associate Dean for Co-operative Education and Professional Affairs. His research spans autonomous systems, software engineering, formal methods, and construction project management. He holds a faculty position in a top-tier engineering program with affiliations to both academic and administrative roles at the university. Research interests include advancing autonomous vehicle decision-making through reinforcement learning and computer vision techniques, improving software development methodologies via formal verification and collaborative platforms, and enhancing project management practices in complex construction environments. His work integrates interdisciplinary approaches combining control theory, machine learning, and social network analysis. Recent publications focus on autonomous driving challenges (action recognition, intersection navigation), software engineering education (game-based learning), and formal methods for system validation. His contributions bridge theoretical advancements with practical applications in safety-critical systems and industrial workflows. Teaching responsibilities include the ECE351 course on signals and systems. He has led curriculum development efforts and maintains a personal research website at the University of Waterloo's ECE department.

Mehul Bhattمشاهده پروفایل

استاد

• Artificial Intelligence
• Cognitive Science
• Human-Computer Interaction
• +۷ مورد دیگر

Mehul Bhatt is a Professor of Computer Science at Örebro University, Sweden, and a Visiting Professor at the Center for Cognitive Neuroscience (FU Berlin). His research focuses on the cognitive and computational foundations of human-centred AI technologies, including spatial cognition, visual perception, and computational cognitive modelling. He holds a PhD in Computer Science from La Trobe University (Australia) and previously served as a Professor at the University of Bremen (Germany). Key research areas include artificial intelligence, cognitive science, and human-computer interaction, with applications in autonomous systems, architecture design, and media technologies. His work integrates formal methods, reasoning, and learning to address challenges in spatial reasoning, multimodal interaction, and human-centred design. He has received awards such as the Alexander von Humboldt Fellowship and DAAD Award. His research has been featured in outlets like The Economist and DW-TV International. He serves as an Area Chair for AI conferences like IJCAI and has led projects funded by the Swedish Foundation for Strategic Research (SSF). Past roles include leadership of an AI laboratory at the University of Bremen, focusing on human cognitive abilities and sensory interpretation. He contributes to initiatives like the Center for Applied Autonomous Sensor Systems (AASS) at Örebro University, advancing interdisciplinary research in AI and cognition.

Kaushik Sinhaمشاهده پروفایل

دانشیار

• Machine Learning
• Artificial Intelligence
• Optimization
• +۵ مورد دیگر

Kaushik Sinha is an Associate Professor at the School of Computing, Wichita State University, part of the College of Engineering. His research focuses on machine learning, optimization, algorithms, and their applications in health informatics. He holds a PhD in Computer Science from Ohio State University and completed a postdoctoral fellowship at UC San Diego under Sanjoy Dasgupta and Kamalika Chaudhuri. His professional activities include serving as an Associate Editor for Neurocomputing (2015–2017) and Technical Program Committee member for conferences like KDD, ICML, and AAAI. He is an affiliated researcher at the Institute for Foundations of Machine Learning (IFML). Dr. Sinha actively mentors PhD students in theoretical and applied machine learning. He currently offers two PhD positions for Fall 2025 focusing on algorithm analysis and applied machine learning, requiring strong mathematical or programming backgrounds. His work emphasizes both foundational research and practical applications, including federated learning, nearest neighbor search, and health data analysis.

Nicole Panorkouمشاهده پروفایل

استاد

• Mathematics Education
• STEM Education
• Integrated STEM Reasoning
• +۴ مورد دیگر

Dr. Nicole Panorkou is a Professor of Mathematics Education at Montclair State University’s College of Science and Mathematics. She holds a BSc in Education Sciences (University of Cyprus), MSc in Mathematics Education (University of Warwick), and PhD in Mathematics Education (University College London). Her research focuses on students’ mathematical reasoning, integrated STEM education, and technology-enhanced learning environments. She has led NSF-funded projects like DYME-A (Dynamic Measurement for Area) and ACMES (Computational Thinking in Earth Science), emphasizing equitable access to mathematical concepts through dynamic models. Her educational background includes teaching elementary school and postdoctoral research via a Fulbright Fellowship at North Carolina State University. She contributed to the TurnOnCCMath.net resource, mapping Common Core Standards into learning trajectories. Her work explores dynamic measurement reasoning (DYME) for area and volume, fostering conceptual understanding through interactive simulations. Recent research highlights include students’ systems thinking in Earth science simulations (e.g., water cycle, rock cycle) and transdisciplinary learning through debugging practices. Awards include the NAEd/Spencer Postdoctoral Fellowship and multiple NSF grants. She serves on boards for NJAMTE and AMTNJ, advocating for mathematics teacher education. Grants and collaborations span environmental science, STEM integration, and learning trajectories. Her lab focuses on designing exploratory tools like interactive simulations to bridge abstract mathematical concepts with real-world contexts, supporting K-8 education equity and cognitive development.

Edgar Valdezمشاهده پروفایل

دانشیار

• Philosophy
• Ethics
• Environmental Ethics
• +۳ مورد دیگر

Dr. Edgar Valdez is an Associate Professor of Philosophy at Saint Peter's University. He focuses on ethics, Kantian philosophy, environmental ethics, and Latinx philosophy. His research explores intersections between systemics, cybernetics, and philosophical methodologies. He teaches courses such as Introduction to Philosophy, Ethics, and Environmental & Climate Change Ethics. Education: Ph.D. in Philosophy (university unspecified). His research interests include Kantian ethics, the philosophy of science, and the application of Lonergan’s empirical method in systems analysis. His recent work addresses cosmopolitanism, faith’s role in ethical frameworks, and Kantian spatial theories. Notable publications include contributions to Journal of Systemics, Cybernetics and Informatics (2020) and Kantian Review (2012). An edited volume, Rethinking Kant Volume 6 , is forthcoming from Cambridge Scholars Publishing. No scientific awards are explicitly mentioned. Teaching philosophy emphasizes accessibility of philosophical concepts through Kant’s questions: knowledge, morality, and hope.

• Architectural Engineering
• Structural Design
• Building Materials
• +۳ مورد دیگر

Bjørn Normann Sandaker is an Adjunct Professor at the Department of Architecture and Technology, Norwegian University of Science and Technology (NTNU), affiliated with the Oslo School of Architecture and Design (AHO). His research focuses on architectural structures, material science, and the interplay between structural systems and architectural space. He has authored multiple textbooks, including Materialkunnskap and The Structural Basis of Architecture , and has contributed to academic journals exploring topics like structural typologies and interdisciplinary education. Affiliations: NTNU, AHO Education:** Not explicitly stated in the provided text. Research Interests:** Architectural engineering, structural design, building materials, and educational methodologies in architecture. His work emphasizes bridging architectural theory with practical construction, particularly in multistory buildings and sustainable materials. Recent publications analyze structural typologies and curriculum integration of architecture in engineering education. He has advised at least one PhD student, Nina Scarlett Edwards Anker, and delivered lectures globally on topics like architectural engineering and structural innovation. Sandaker’s outreach includes courses such as AAR4250 - Arkitektur som teknologisk praksis and AAR4405 - Konstruksjonslære . He has participated in international conferences and workshops, including events at DTU, Cornell University, and the University of Minho. His research often explores historical influences on modern structural design, exemplified by studies on figures like Jean Prouvé and Fred Severud.

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Logic Programming
• +۵ مورد دیگر

Tomi Janhunen is a Professor in Computing Sciences at Tampere University, part of the Faculty of Information Technology and Communication Sciences. His expertise spans Artificial Intelligence, Logic Programming, and Theoretical Computer Science. He actively contributes to academic leadership roles, serving on boards of the Finnish Association of Computer Science and Finnish Artificial Intelligence Society. His research focuses on Answer Set Programming (ASP), probabilistic reasoning systems, explainable AI, and optimization techniques applied to cybersecurity and maintenance scheduling. Key grants include the XAILOG and AI-ROT projects funded by the Research Council of Finland. Notable achievements include three prestigious awards: Best Paper Awards at the European Conference on Logics in AI (2021) and International Conference on Logic Programming (2023), and the Harold Boley award for system description (2022). Dr. Janhunen’s work emphasizes practical applications of declarative programming paradigms. Recent projects include Plingo—a probabilistic ASP system—and cybersecurity compliance frameworks in DevSecOps environments. His contributions bridge theoretical advancements with real-world challenges in AI security and industrial optimization.

Jose Ángel Ramos Gargantillaمشاهده پروفایل

پژوهشگر

• Ontology Merging
• Semantic Integration
• Geospatial Information Systems
• +۳ مورد دیگر

Jose Ángel Ramos Gargantilla is a Researcher at the Universidad Politécnica de Madrid (UPM), affiliated with the Ontological Engineering Group (OEG) within the Faculty of Informatics. He holds a Computer Science degree from UPM (2001) and is currently a PhD student in the Artificial Intelligence Department. His research focuses on ontology merging, semantic integration, and geospatial information systems. He has contributed to projects like OntoWeb, GeoBuddies, and Knowledge Web, and participated in organizing events such as EKAW02, TKE2012, and multiple SSSW summerschools. Education: Bachelor's in Computer Science, UPM (2001) PhD candidate in Artificial Intelligence, UPM His research interests emphasize semantic web technologies, ontology alignment, and geospatial data management. He has published extensively on ontology merging algorithms, semantic conflation, and real-world applications of semantic integration. Key contributions include work on mapping discovery and aggregation techniques. He has actively participated in managing the Ontological Engineering Group (OEG) and contributed to interdisciplinary projects bridging AI with geospatial technologies.

• Human-Computer Interaction
• Multimodal Interaction
• Pervasive Computing
• +۷ مورد دیگر

Mr. Philip Gray is an Honorary Research Fellow at the School of Computing Science , University of Glasgow. His career focuses on human-computer interaction, pervasive computing, and multimodal interface design. Research Themes : Human-Computer Interaction Multimodal Interaction Pervasive and Ubiquitous Systems Context-Sensitive Computing Inclusive Design Haptic Interfaces Publication Trends : Over 15 years, his work spans pervasive computing verification, multimodal interface design, health technology, and context-aware systems. Recent articles examine usability in sensor-based monitoring (2015) and activity awareness configuration (2009). Contact : Philip.Gray@glasgow.ac.uk

• Machine Learning
• Causal Reasoning
• Mechanism Design
• +۷ مورد دیگر

Dr. Shanfeng Hu is an Assistant Professor in the Department of Computer and Information Sciences at Northumbria University, UK. He obtained his PhD from the same department in 2020 and joined the faculty as a Lecturer immediately after. During his PhD (2018-2020), he worked as a Senior Data Scientist in the financial sector. His research focuses on machine learning, causal reasoning, and mechanism design, with funded projects in advanced manufacturing (Innovate UK KTP), supply chain optimization (Digital Catapult, Innovate UK ISCF), and digital health (EU Erasmus+, EU MSCA). Education: PhD in Computer Science (2020) from Northumbria University, specializing in Metric Representations for Shape Analysis and Synthesis. Research interests include computer vision applications (e.g., defect detection, pose estimation), predictive maintenance, inventory management, health monitoring systems, and human-in-the-loop machine learning. He has collaborated on projects involving 3D printing (KTP-funded), steel surface analysis, and elderly health monitoring. His recent work addresses challenges in digital transformation for manufacturing, integrating predictive maintenance with inventory systems, and developing explainable AI for control systems. Projects are supported by Innovate UK, EU programs, and Digital Catapult. Lead researcher on Innovate UK KTP project: 3D printed Models Contributions to UN Sustainable Development Goals through education and healthcare projects Labs/Teams: Collaborates with industry partners in manufacturing, healthcare, and robotics sectors through funded initiatives.

• Geography Education
• Teacher Training
• Educational Technology
• +۳ مورد دیگر

Martin Sutton is a Lecturer in Geography - Secondary Education and Subject Leader for Secondary Geography PGCE at the University of Reading. He also contributes to Primary Geography education programs. His work focuses on innovative teaching methodologies, particularly the integration of technology in teacher training and assessment practices. Sutton emphasizes fieldwork pedagogy and curriculum development across primary and secondary levels. Key Achievements: Highly Commended MAEd dissertation (GEReCo, 2024) Outstanding Contribution to Collaborative Teaching and Learning (2023) RUSU Teaching Excellence Award Winner (2021) His research explores how online platforms support trainee teachers in assessment processes and spatial literacy instruction. Notable outputs include publications on grid reference teaching and GCSE assessment strategies. Professional Engagement: Contributed blogs on fieldwork revival and teacher training (TeachIt platform) Co-authored chapters in Geography Through Enquiry and Essential Subject Knowledge for Primary Teaching

Thora Tenbrinkمشاهده پروفایل

استاد

• Cognitive Discourse Analysis
• Spatial and Platial Linguistics
• Climate Change Communication
• +۴ مورد دیگر

Thora Tenbrink is a Professor of Linguistics at Bangor University's School of Arts, Culture and Language. She serves as Director of Postgraduate Research Studies in the College of Arts, Humanities and Social Sciences and leads the Places of Climate Change Research Centre (PloCC). Her interdisciplinary work spans cognitive discourse analysis, spatial language studies, and climate change communication. Academic background includes a DPhil from Bremen University on spatiotemporal expressions in English/German. Research focuses on how language reveals cognitive processes, particularly spatial/platial concepts, with recent emphasis on climate change contexts. She developed the empirical method Cognitive Discourse Analysis (CODA) detailed in her 2020 Cambridge monograph. Recent publications examine tidal literacy, spatial reference systems across domains, and environmental discourse in Welsh communities. Her EU-funded SellSTEM project addresses spatial ability deficits in STEM education through teacher training and curriculum development. Scientific recognition includes 2022 Fellowship in the Learned Society of Wales. Supervision opportunities available in discourse analysis, place-based climate research, cognitive linguistics, and interdisciplinary methodologies.