Find Academic Supervisors

• Early Childhood Education
• Infant Development
• Educational Transitions
• +12 more

Natalia Meireles Santos da Costa is an Associate Professor at Oslo Metropolitan University, affiliated with the Faculty of Teacher Education and International Studies and the Department of Kindergarten Teacher Education. She serves as Study Leader in Area 1 and is actively involved in multiple research groups, including those focused on Sustainability, Nature, Health and Movement; Cultural Diversity and Multilingualism in a Global Perspective; and Methodological Developments in Kindergarten and Educational Research (MUBU). Her research centers on early childhood education, particularly the transitions of infants and toddlers into educational care settings. Key interests include locomotor development, socio-emotional experiences, outdoor learning, time-space organization in routines, and cultural-historical approaches to pedagogy. She frequently employs qualitative and microgenetic methods, with a strong emphasis on embodied and interactive processes in early development. The analysis of her recent publications reveals a consistent focus on infant agency, movement, and pedagogical responsiveness in ECEC environments. Her work spans Brazilian and Nordic contexts, contributing to intercultural dialogues in early education. Themes such as corporeality, rhythm, inclusion, and spatial experience recur across her research, reflecting a deep commitment to understanding and improving early educational transitions. She has participated in numerous international research events, including symposia and panels on educational transitions, and has delivered guest lectures on human development and inclusive education. Her collaborations extend across institutions in Brazil, Finland, and Norway, particularly through the TRACE research team. Research Groups: Sustainability, Nature, Health and Movement Cultural Diversity and Multilingualism in a Global Perspective Methodological Developments in Kindergarten and Educational Research (MUBU) Though no formal advising or grant information is listed, her extensive dissemination activities and collaborative research suggest active engagement in academic leadership and knowledge exchange. She contributes significantly to both scientific and professional discourse in early childhood education.

• Applied Mechanics
• Automotive Transmissions
• Control and Optimization
• +7 more

Enrico Galvagno is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of the Polytechnic University of Turin. He is a member of the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His academic roles include teaching and supervising courses on Mechanical System Dynamics , Hybrid and Electric Propulsion Systems , and Motor Vehicle Mechanics , as well as serving on doctoral college committees for Mechanical Engineering since 2019. His research interests span Applied Mechanics , Vehicle Dynamics , Hybrid and Electric Vehicles , and Noise, Vibration, and Harshness (NVH) . He focuses on Mathematical Modeling , Control Optimization , and Experimental Mechanics in automotive systems. Recent projects include the OWHEEL benchmarking initiative, EFFEREST for energy management in electric vehicles, and CliMAFlux for axial flux motor drives. Galvagno's scholarly work includes collaborative research on electric powertrain vibro-acoustics , off-road tire modeling , and tracked vehicle simulations . His 2024 publications highlight advancements in nonlinear vehicle dynamics , e-NVH performance , and model order reduction techniques. Scientific Awards and Memberships : Effective member of IFToMM Italy (2019-) Scientific Committee member of IFToMM Technical Committee for Engines and Powertrains (2019-) Effective member of SAE International (2010-) He supervises PhD students Luca Biondo , Luca Ciravegna , and Luca Zerbato , and has led commercial research contracts like Off-Road Tyre Model Integration and Tracked Vehicle Kinematic Modeling for industrial clients.

• Information and Communication Technology
• Electrical and Electronic Engineering
• Artificial Intelligence
• +3 more

Paweł Tarnowski is a researcher at the Institute of the Theory of Electrical Engineering, Measurement and Information Systems , Faculty of Electrical Engineering, Warsaw University of Technology. His work focuses on biomedical signal processing, emotion recognition, and machine learning applications in affective computing and human-computer interaction. Research areas include Information and Communication Technology (ICT) Electrical and Electronic Engineering Artificial Intelligence Neuroscience Human Factors His recent publications highlight trends in emotion recognition using multimodal physiological signals (EEG, EOG, GSR), driver fatigue detection, and deep learning techniques like 1D-CNN for medical diagnostics. Articles also address urban traffic monitoring and neuromarketing research via EEG analysis. At Warsaw University of Technology, he supervises thesis projects and contributes to interdisciplinary research in biomedical engineering and signal processing. Labs/Teams: Institute of the Theory of Electrical Engineering, Measurement and Information Systems .

Martin A. VinckView profile

Professor

• Computational Neuroscience
• Systems Neuroscience
• Neural Coding
• +10 more

Prof. Dr. Martin Vinck is a Professor at the Donders Centre for Neuroscience in the Department of Neurophysics , Radboud University. He is also a Research Group Leader at the Ernst Strüngmann Institute for Neuroscience and a faculty member at the International Max Planck Research School for Neural Circuits . Current affiliations: Radboud University, ESI Frankfurt, Max Planck Research School Positions: Professor, Research Group Leader, Review Editor for eLife Research Interests span computational and systems neuroscience, focusing on predictive processing in biological and artificial neural networks. His lab investigates: How distinct excitatory/inhibitory neurons regulate plasticity and flexible information processing Neural ensemble coding via spatio-temporal patterns and spike sequences Self-supervised learning mechanisms using spatial/temporal predictions Gamma oscillations, synchronization, and their role in visual encoding Scientific Contributions include developing algorithms for high-dimensional neural data analysis, co-supervising key studies on interneuron dynamics, and pioneering work on predictive coding in V1. His grants include the ERC Starting Grant (2019) and VIDI Grant (2024) . Lab Members include PhD students Jinke Liu, Jahan Esfandiarii, Athanasia Tzanou and alumni Irene Onorato, Marius Schneider, Ana Clara Silveira Broggini . He actively promotes open science , develops the Spike Toolbox , and reviews for journals like Neuron, eLife, PLoS Computational Biology .

Rucheeta KulkarniView profile

Adjunct Professor

• Educational Equity
• Multicultural Education
• Action Research

Rucheeta Kulkarni, PhD , serves as an Adjunct Professor at the University of San Diego (USD), where she contributes to the university’s online Master of Education (MEd) program. Her role centers on advancing the program’s commitment to equity, social justice, and practitioner-oriented research. Research Focus: Educational Equity – investigating systemic barriers and inclusive practices that ensure fair access to learning for all students. Multicultural Education – exploring culturally responsive pedagogies that honor diverse learners’ backgrounds. Action Research – mentoring in-service teachers to conduct classroom-based inquiry that simultaneously improves student outcomes and teacher professional growth. Her scholarship and teaching emphasize translating theory into practice, empowering educators to become reflective researchers within their own classrooms. Teaching & Mentoring: Within USD’s fully online MEd program, Dr. Kulkarni leverages synchronous and asynchronous modalities to build strong faculty–student relationships, encouraging candidates to connect via phone or video when deeper dialogue is needed.

• Biophysics
• Computational Biology
• Systems Biology
• +2 more

Mathias Spliid Heltberg is an Assistant Professor at the Biocomplexity section of the Niels Bohr Institute, University of Copenhagen. His research focuses on nonlinear dynamics in biological systems, particularly oscillatory mechanisms in cellular processes and medical informatics applications. Current affiliation: Niels Bohr Institute, University of Copenhagen Research areas: Biocomplexity, Systems Biology, Chronobiology His recent publications span topics like p53 dynamics in DNA damage response, signal transmission in excitable media, and medical informatics applications. Collaborations include institutions in Denmark, USA, and China. The research integrates computational modeling with experimental validation in diverse biological contexts. Key contributions include theoretical frameworks for biological oscillations and practical applications in gestational diabetes intervention and surgical outcome prediction. His work on allelic buffering and potassium ion dynamics highlights cross-disciplinary approaches combining physics and biology.

Xiaoyan HongView profile

Associate Professor

• Distributed Systems
• Internet of Things (IoT)
• Wireless Communications
• +4 more

Dr. Xiaoyan Hong is an Associate Professor in the Department of Computer Science at The University of Alabama's College of Engineering. Her research focuses on mobile/wireless networks, vehicular networks, and delay-tolerant systems. Ph.D., Computer Science, University of California-Los Angeles (2003) M.S., Computer Science, Zhejiang University (2000) Research spans Internet of Things (IoT) , Connected Vehicles , and Underwater Wireless Networks . Key projects include NSF-funded underwater robot communication infrastructure and smart traffic light systems. Recent work explores Named Data Networking (NDN) in vehicular environments, Task Synchronization for autonomous vehicles, and V2I Communication for traffic optimization. NSF Research Experience for Undergraduates (REU) grant recipient $1.5M NSF grant for underwater robotics networking Her research integrates with multiple engineering centers, including the Center for Advanced Vehicle Technologies and Center for Transportation Operations .

Ola LindbergView profile

Professor

• Digital Education
• Information and Communication Technology (ICT) in Education
• Teacher Training
• +3 more

Ola Lindberg is a Professor at the Department of Education, Umeå School of Education, Umeå University. Affiliated with the Faculty Office of the Umeå School of Education, he focuses on digital competence in educational contexts through research projects like Remote teaching – a new organizational challenge (2024–2027) and Immersive Technologies for Hybrid Learning (2022–2023). His work bridges policy and practice in Nordic K-12 digitalization. Research Interests : Digital education, ICT policy, teacher training, remote learning equity, and school leadership challenges. Key Awards : No specific scientific awards mentioned in the provided texts. Publications : Over 15 recent articles analyze digital competence frameworks, pandemic-era remote teaching, and cross-Nordic policy comparisons. Projects : Leads initiatives like LIKED (2021–2025), UPGRADE (2020–2024), and GRADE (2018–2022), addressing digitalization in schools.

Hannah KaihovirtaView profile

Senior Lecturer

• Arts Education
• Teacher Training
• Diversity in Education
• +6 more

Senior University Lecturer Hannah Kaihovirta (Docent, PhD, M.A.) holds an academic position at the Faculty of Education of the University of Helsinki , specializing in Swedish-language teacher education with a focus on arts and crafts. She also serves as an Associate Professor at Åbo Akademi University and has held visiting research appointments at NTNU Trondheim . Education : Doctor of Philosophy in Art Education, Åbo Akademi (2009) Master of Arts in Drama Education, Åbo Akademi (2008) Master of Arts in Visual Arts, University of Art and Design Helsinki (2004) Docent in Fine Arts Education, Åbo Akademi (2003) Research interests center on arts-focused learning environments , multimodal/digital/hybrid pedagogy , and diversity in education . Her work explores: Visual methods in teacher training (VISLU project) Arts interventions in special education (EMOS#SOME project) Policy development for multilingual and socially equitable education (DIMISO framework) Materialist ontologies in contemporary art pedagogy Blended learning spaces for creative disciplines Scientific contributions include leadership of three major projects: SKAPA - Strategic visual arts education development (2024-2026) ART INTERVENTION - Arts in comprehensive school reform (2023-2025) VISLU - Visual methods in teacher education (2023-present) Scientific awards highlight her mentorship excellence, including the 2013 Handledarpris . Her supervision extends to master's and doctoral researchers across institutions like Aalto University and Åbo Akademi.

• Philosophy of Science
• Emergence
• Evolutionary Theory
• +5 more

Dr. Vladimír Havlík is an Associate Professor at the Faculty of Philosophy, Masaryk University, and a researcher at the Institute of Philosophy of the Academy of Sciences of the Czech Republic since 1991. His academic career spans philosophy of science, emergence theory, and evolutionary epistemology. Education: PhDr. in Philosophy (1986, Charles University), CSc. (1990, Czechoslovak Academy of Sciences) Key roles: Secretary of the Czech Committee for Logic, Methodology and Philosophy of Science, computer network administrator at the Institute of Philosophy Dr. Havlík's research focuses on the philosophical foundations of science, particularly emergence, evolutionary theory, and the status of special sciences. His work critically examines reductionism, physicalism, and the methodology of cosmology, often bridging physics with metaphysical analysis. His publications analyze the interplay between logical positivism, scientific rationality, and interdisciplinary ontological principles. He has taught courses on philosophy of science, history of physics, and methodological seminars at the University of West Bohemia and Masaryk University. As a translator and editor, he has contributed to disseminating key texts in analytical philosophy, including works by Schlick, Waismann, Popper, and Feyerabend. His academic engagement extends to organizing symposia and serving on institutional IT commissions.

• Brain-Computer Interfaces
• Speech Neuroprosthetics
• Neural Decoding
• +3 more

David Moses is an Assistant Professor in the Department of Neurological Surgery at the University of California, San Francisco (UCSF) School of Medicine. His research focuses on developing advanced brain-computer interfaces (BCIs) and speech neuroprostheses to restore communication in individuals with paralysis or speech impairments. Moses works at the intersection of neuroscience, biomedical engineering, and artificial intelligence, utilizing cortical activity mapping to create real-time decoding systems. Research Areas: Brain-Computer Interfaces Speech Neuroprosthetics Neural Signal Decoding Artificial Intelligence in Medicine Cortical Activity Analysis Cognitive Neuroscience Publication Trends: Moses' recent work (2024-2025) emphasizes streaming brain-to-voice neuroprostheses, bilingual speech decoding, and user agency in neuroprosthetic design. Earlier publications (2016-2022) established foundational methods for continuous phoneme decoding, real-time dialogue systems, and AI-driven cortical signal translation. Key Collaborations: Moses frequently collaborates with Edward Chang (UCSF), Gopala Anumanchipalli (UCSF), Karunesh Ganguly (UCSF), and Adelyn Tu-Chan (UCSF) on high-impact neuroprosthetic research. His work is cited extensively in medical and neuroscience literature, with significant social media and policy influence.

• Visual Perception
• Eye Movement Control
• Sensorimotor Integration
• +3 more

Prof. Dr. Alexander Schütz is a faculty member at the Faculty of Psychology, Philipps-Universität Marburg , leading the Sensorimotor Learning research group. His work explores the interplay between eye movements and visual perception , focusing on trans-saccadic integration, dynamic signal integration, and perceptual stability. Academic Affiliation: Department of General and Biological Psychology Key Collaborators: Karl Gegenfurtner, David Souto, Miriam Spering Research Interests Integration of bottom-up salience and top-down value signals in eye movement control Trans-saccadic information calibration and perceptual adaptation Individual differences in multistable perception and motor learning His 2024-2025 publications reveal trends in: Visual processing in rod vision and occlusion Optical flow models for eye movement prediction Neural mechanisms of cost-benefit trade-offs in visual search Perceptual biases in autism-psychosis spectra Visuotactile integration during spatial judgments Grants ERC Starting Grant PERFORM (2015-2020): Calibration of peripheral and foveal vision ERC Consolidator Grant SENCES (2021-2025): Processing of inferred vs. sensory visual information Laboratory Equipment : EyeLink 1000+ eye trackers, ViewPixx stereoscope, ProPixx projector, and Vizard VR platform for behavioral studies.

• Applied Linguistics
• Critical Applied Linguistics
• Queer Theory
• +3 more

Dr. Jason Ho is a Lecturer in English for Academic Study at the School of Modern Languages & Cultures , University of Glasgow. His research focuses on critical intersections between language education, queer theory, and digital pedagogy. Research Interests: Applied linguistics, queer theory, educational technology, and cross-cultural communication Publications: Recent works explore collaborative learning via online whiteboards and critical perspectives in applied linguistics Supervision: Advises PhD research on postcolonial cultural brokerage in cross-cultural theatrical narratives Contact: Jason.Ho@glasgow.ac.uk

Vlad-Costin AndreiView profile

Researcher

• Integrated Sensing and Communications (ISAC)
• Digital Twinning
• Neuromorphic Computing
• +5 more

Vlad-Costin Andrei is a Researcher at the Chair of Theoretical Information Technology , Technical University of Munich (TUM), specializing in wireless communication systems and digital twinning. He joined the ACES Lab (TUM's Chair of Theoretical Information Technology) in late 2021 after 3.5 years in the aerospace and defense industry. Research Focus: Joint Communications and Sensing (6G), Neuromorphic PHY Layer, Digital Twins, MIMO-OFDM Resilience Projects: 6G-life, 6G Future Lab Affiliation: ACES Lab, TUM His work bridges theoretical foundations with practical implementations, including demonstrations of digital twinning platforms and sensing-assisted receivers. Recent publications emphasize anti-jamming frameworks, federated learning over wireless networks, and trajectory optimization for UAV-enabled ISAC systems. Scientific Awards: Best Paper Award, IEEE Symposium on Joint Communications and Sensing (2023) His research is supported by third-party grants such as BMBF's 6G-life, DFG's Gottfried Wilhelm Leibniz Prize, and multiple collaborative projects.

• Construction Engineering
• Discrete-Event Simulation
• Industrial Construction
• +6 more

Yasser Mohamed is a Professor in the Civil and Environmental Engineering Department at the University of Alberta . His academic and professional focus revolves around construction engineering, discrete-event simulation, and process optimization for industrial and tunneling operations. He has also explored knowledge engineering techniques and the application of TRIZ (Theory of Inventive Problem Solving) to construction processes. Email: yaly@ualberta.ca Location: 7-269 Donadeo Innovation Centre For Engineering, Edmonton, AB Courses Taught: CIV E 603 (Construction Informatics), CIV E 606 (Design and Analysis of Construction Operations) His research emphasizes modeling construction processes using discrete-event simulation to optimize performance and develop synthetic environments for construction operations. Recent publications, however, indicate a shift toward power systems, focusing on DC microgrids , grid-forming converters , and renewable energy integration . Scientific Awards: None explicitly mentioned in the provided data. Advising and Grants: No formal advisees listed. A co-applicant on a CRD grant (2007–present) for synthetic environments in construction simulation.