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Alessandro De ParisView profile

Associate Professor

• Mathematics
• Theoretical Computer Science
• Differential Geometry
• +4 more

Alessandro De Paris is an Associate Professor in the scientific-disciplinary field MAT/03 - Geometry at Link Campus University in Rome. He transitioned from a 24-year permanent research career to his current role, focusing on tensor rank and combinatorial aspects with applications in theoretical computer science and mathematics. His research intersects algebraic geometry, differential geometry, and computational mathematics. His recent publications highlight expertise in Waring decompositions, tensor analysis, and polynomial complexity. Key contributions include determining sharp bounds for ternary algebraic forms and developing mathematical models for olfactory neuron responses. Notable works address Monge-Ampère equations and geometric invariants. Current research trends emphasize algebraic geometry, computational mathematics, and interdisciplinary neuroscience applications. Collaborative efforts include co-authoring a monograph on linear connections in differentiable vector bundles.

• Statistics
• Machine Learning
• Data Science
• +3 more

Diego Nascimento is an Assistant Professor in Statistics at NEOMA Business School. His research focuses on statistical modeling, machine learning, spatio-temporal dependencies, and data visualization, with applications in supply chain management, neurosciences, and industrial projects. He has published in top-tier journals like the Journal of the Royal Statistical Society Series C and Pattern Recognition , collaborating with companies in South America and healthcare institutions. His work bridges theoretical statistics with practical industry challenges, emphasizing Bayesian methods and dynamic models. Key research areas include spatio-temporal modeling, neural data analysis, and optimization techniques. Recent studies involve clinical trials on transcranial stimulation effects and predictive analytics for supply chains during the pandemic. He actively contributes to interdisciplinary projects, combining statistical rigor with real-world applications in healthcare and environmental monitoring. Award-winning research includes advancements in imbalanced classification, safety-stock prediction, and entropy analysis in clinical trials. His collaborative projects reflect a commitment to both academic innovation and industrial relevance, with ongoing work in neuroimaging and supply chain resilience.

• Mathematics Education
• Epistemology of Mathematics
• Visual Semiotics in Mathematics
• +3 more

Heinz Steinbring is a Professor at the University of Duisburg-Essen, where he leads the Steinbring working group within the Research Group EInmaL. His academic career centers on mathematics education with a distinct epistemological perspective, focusing on primary school learning environments and teacher development. Research Focus: Steinbring investigates how visual materials, manipulatives, and mathematical signs function as epistemological tools in knowledge construction. His work emphasizes the interplay between social interaction and cognitive constraints in mathematical learning, particularly examining how students interpret visual representations and how teachers facilitate meaning-making through discourse. Key themes include the role of semiotic systems in transitioning from concrete to abstract thinking and the epistemological foundations of classroom communication. Publication Trends: Analysis of his 15 most recent publications (2011-2020) reveals consistent exploration of visual-semiotic dimensions in mathematics education. His research demonstrates evolving sophistication in analyzing classroom interactions, with increasing emphasis on stochastic concepts, frame-based interpretation models, and epistemological barriers in primary mathematics. The corpus shows strong continuity in theoretical frameworks while expanding empirical applications across diverse mathematical topics. Academic Leadership: As working group leader, Steinbring supervises doctoral fellow Katharina Mros and maintains active research collaboration within the EInmaL group. His email contact (heinz.steinbring@uni-due.de) and office location (WSC-O-2.43) indicate ongoing institutional engagement at the University of Duisburg-Essen.

José A. Ruipérez ValienteView profile

Associate Professor

• Educational Technologies
• Data Science
• Human-Computer Interaction
• +8 more

José A. Ruipérez Valiente is an Associate Professor at the University of Murcia's Information and Communications Engineering Department. He has held academic positions at institutions such as the Complutense University of Madrid and MIT, focusing on educational technologies and data-driven approaches in learning environments. His research bridges human-computer interaction with online learning, serious games, and cybersecurity. He holds prestigious fellowships like the Juan de la Cierva and Humboldt Awards. Education: PhD in Telematics (2017) from Universidad Carlos III de Madrid MSc and M.Eng. in Telecommunications (2013-2014) B.Eng. in Telecommunications Systems (2011) from Universidad Católica San Antonio de Murcia Research Interests: His work emphasizes AI in education, cybersecurity training, disinformation analysis, and game-based assessment. He develops tools like DISINFOX for threat intelligence and frameworks for interoperable game-based learning. Awards: 2021: Humboldt Research Fellowship 2018: Person from Murcia of the Year 2018: Four Best PhD Thesis Awards Advising & Projects: He advises on cybersecurity training via platforms like SCORPION Cyber Range and collaborates on MOOC analytics. His work spans global education trends and ethical AI applications. Labs & Teams: Associated with MIT's Teaching Systems Lab and the University of Murcia's cybersecurity research groups.

• Behavioral Economics
• Economic Pedagogy
• Education Research
• +3 more

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
• +4 more

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
• +3 more

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 RaysideView profile

Associate Professor

• Autonomous Systems
• Software Engineering
• Formal Methods
• +3 more

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 BhattView profile

Professor

• Artificial Intelligence
• Cognitive Science
• Human-Computer Interaction
• +7 more

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 SinhaView profile

Associate Professor

• Machine Learning
• Artificial Intelligence
• Optimization
• +5 more

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 PanorkouView profile

Professor

• Mathematics Education
• STEM Education
• Integrated STEM Reasoning
• +4 more

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 ValdezView profile

Associate Professor

• Philosophy
• Ethics
• Environmental Ethics
• +3 more

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
• +3 more

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
• +5 more

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 GargantillaView profile

Researcher

• Ontology Merging
• Semantic Integration
• Geospatial Information Systems
• +3 more

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.