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Paulo BliksteinView profile

Professor

• Constructionism
• Learning Analytics
• Human-Computer Interaction (HCI)
• +12 more

Paulo Blikstein is a Professor in the Department of Mathematics, Science and Technology at Teachers College, Columbia University, where he leads the Transformative Learning Technologies Lab (TLTL) . He previously held faculty positions at Stanford University and maintains strong interdisciplinary ties across computer science, education, and human-computer interaction. His research spans constructionist learning, learning analytics, data science education, and maker-based pedagogy. Research Interests: Core focus on constructionism , inspired by Seymour Papert, emphasizing learning through creating. Development of tangible and embodied interfaces for STEM learning. Innovation in multimodal learning analytics to assess student behavior in open-ended tasks. Advancing equitable and inclusive models for AI and computing education. Design and scaling of biology cloud labs and no-code data science tools for youth. Recent Research Trends: His latest work (2022–2025) shows a strong focus on integrating computational modeling with real-world data in middle school science, developing no-code platforms for community data science, and analyzing sustainability challenges in classroom technology adoption. He emphasizes teacher-driven curriculum design and systemic implementation of maker education globally. Scientific Awards: Best Pictorial Award Honorable Mention (ACM) Honorable Mention Short Paper Advising and Grants: He actively mentors graduate students, postdocs, and visiting scholars in the TLTL. His lab partners with schools, museums (e.g., New York Hall of Science), and policy makers to translate research into practice. Projects are funded by competitive grants, including awards from Columbia University’s School of Engineering and national competitions like the Learning Engineering Tools Competition. Labs and Teams: He directs the Transformative Learning Technologies Lab (TLTL) , a multidisciplinary research group focused on designing, researching, and scaling innovative STEM education technologies. The lab collaborates with institutions in Brazil, Switzerland, and China, and works closely with educators to ensure real-world impact.

• Artificial Intelligence
• Machine Learning
• Network Security
• +7 more

Johng-CHern Chern is a Professor in the Department of Computer Science within the College of Arts & Sciences at Chicago State University. His academic work spans artificial intelligence, machine learning, network security, and image processing, with a strong emphasis on practical applications in education, security, and multimedia systems. Research Interests: Artificial Intelligence and Deep Learning Machine Learning for Fraud Detection Network and Information Security Image and Video Processing Human-Computer Interaction and Educational Technology Defensive Programming and Cybersecurity Education His recent publications reflect a trend toward integrating deep learning with real-world problems such as low-light image enhancement, financial fraud detection, and secure wireless networks. His earlier work includes foundational contributions to database interfaces, genetic algorithms, and medical decision support systems, showing a long-standing interdisciplinary focus. Professional Memberships: Association of Computing Machinery (ACM) Institute of Electrical and Electronics Engineers (IEEE) Association of Information Technology Professionals (AITP) Dr. Chern has also contributed to STEM education through hands-on lab design and online tutoring systems. While no formal advising or grant information is listed, his extensive publication record and conference participation demonstrate sustained scholarly activity. He is involved in both technical research and pedagogical innovation, particularly in computing education and cybersecurity curriculum development.

Miloš ŽefranView profile

Professor

• Human-Robot Interaction
• Assistive Robotics
• Surgical Robotics
• +4 more

Miloš Žefran is a Professor and Associate Dean for Faculty Affairs at the University of Illinois Chicago (UIC), affiliated with the College of Engineering and the Department of Electrical and Computer Engineering. He conducts research in human-robot interaction, assistive robotics, surgical robotics, and cyber-physical systems. Ph.D., Computer and Information Science, University of Pennsylvania (1996) M.S., Mechanical Engineering, University of Pennsylvania (1995) M.S., Electrical Engineering, University of Ljubljana, Slovenia (1992) His research focuses on Human-Robot Interaction , particularly in assistive systems for aging societies and surgical robotics. Publications highlight work on collaborative manipulation, multimodal interaction, and runtime monitoring of autonomous systems. Recent publications (2024-2018) span robotics, medical applications, and AI in aging care. Key trends include intent recognition in human-robot collaboration, dataset development for surgical robotics, and ethical AI deployment in home-based care systems. 2001 : CAREER Award, National Science Foundation He leads laboratory initiatives at UIC, with drop-in hours for student interaction via Zoom and in-person sessions. His interdisciplinary work bridges robotics, control systems, and healthcare technology.

• Nonverbal Communication
• Stress Management
• Child and Adolescent Behavior
• +7 more

Pierrich Plusquellec is an Associate Professor at the School of Psychoeducation, Université de Montréal, with affiliations to multiple research units including the Centre d'études sur le stress humain (CESH) and Centre de recherche de l'Institut universitaire en santé mentale de Montréal (CR-IUSMM). His research focuses on nonverbal communication, stress management, and biological factors influencing human adaptability. His work integrates objective behavioral coding from video recordings physiological measurements epidemiological tools to study stress indicators and adaptive capacities in children and adults. Recent publications highlight trends in nonverbal behavior analysis stress system regulation autism and service dogs environmental contaminants' mental health impacts with studies spanning from 2010 to 2024. Scientific awards include Prix La collectivité branchée (2015) Prix Excellence de la recherche (2013) Prix d'excellence sur pratiques innovantes (2012) CIHR Postdoctoral Fellowship (2004) He has supervised numerous students in psychoeducation and psychology, including Marie-Laure Watrelot (M.Sc. 2025) Isabelle Faille (M.Sc. 2024) Yannick Hubert Fouda Mah (Ph.D. 2023) and directed projects funded by the Canadian Institutes of Health Research, FRQSC, and industry partners. His lab, CESCNOV (Centre d’études en sciences de la communication non verbale), collaborates with institutions like the Institut universitaire en santé mentale de Montréal and conducts fieldwork with Arctic populations.

Abel AdamView profile

Professor

• Creative Coding
• Algorithmic Design
• 3D Printing
• +4 more

Abel Adam is a Professor at the Academy of Fine Arts in Wrocław , affiliated with the Faculty of Ceramics and Glass and Department of Interdisciplinary Activities in Ceramics and Glass. He specializes in combining creative coding , algorithmic design , and 3D printing with traditional ceramic art to explore digital anatomy and biological analogies. Email: adamabel@asp.wroc.pl Website: adamabel.com Research Focus: Abel's work materializes computational processes into physical ceramic forms, emphasizing the intersection of code, geometry, and organic aesthetics. His projects translate mathematical patterns into tactile objects through advanced digital fabrication techniques. Artistic Trends: Recent projects like Chrysallis (2021) and Cyberboros (2020-2021) demonstrate a recurring exploration of algorithms, metamorphosis, and hybrid materiality using 3D printing technologies. Contact: Available through adamabel@asp.wroc.pl or personal website.

• Internet of Things (IoT)
• Embedded Systems
• Precision Agriculture
• +3 more

Deniz Taşkın is an Associate Professor at the Department of Computer Engineering , Trakya University , Turkey. He has served in various academic and administrative roles since 2002, including Head of Department of Information Technology (since 2024) and Deputy Head of Department (since 2016). Education: PhD in Computer Engineering (2007) Master's in Computer Engineering (2004) BSc in Computer Engineering (2002) Edirne Science High School (1998) Research Interests: His research focuses on Internet of Things (IoT) , Embedded Systems , and Precision Agriculture , with applications in sensor networks, wireless communication, and agricultural monitoring. He explores 3D Modeling techniques for optical systems and contributes to Cybersecurity in multimedia and IoT environments. Publication Trends: Deniz has published 15+ articles on IoT architectures, Bluetooth Low Energy sensor networks, 3D calibration methods, and video encryption. His work bridges Digital Circuit Design with Agricultural Technology , emphasizing energy efficiency and real-time data processing. Scientific Awards: 2017 Trakya Project Market: Electric Motor Driver for Autonomous Vehicles 2016 TÜBİTAK: Electromobile Category Runner-Up and Promotion Award 2015 TÜBİTAK: Solar-Powered Vehicle Design Award 2015 Edirne Governorship: Provincial Achievement Certificate Advising and Grants: He has supervised 5 PhD theses and 7 Master's theses , including projects on IoT in Precision Agriculture and FPGA Circuit Design . As a principal investigator, he led 8 scientific projects funded by Trakya University and KOSGEB, focusing on embedded systems, data security, and smart automation. Labs and Teams: He contributes to IoT Research and Embedded Systems Development at Trakya University, collaborating with multidisciplinary teams in agricultural technology and digital design. His work includes designing self-powered sensor nodes and FPGA-based hardware.

Lu GanView profile

Senior Lecturer

• Signal Processing
• Compressed Sensing
• Machine Learning
• +10 more

Dr. Lu Gan is a Senior Lecturer in the Department of Electronic and Computer Engineering at Brunel University London, within the College of Engineering, Design, and Physical Sciences. She earned her B.Eng and M.Eng in Electronic and Information Engineering from Southeast University, China, in 1998 and 2000, followed by a Ph.D. in Information Engineering from Nanyang Technological University, Singapore, in 2004. Before joining Brunel in 2008, she held faculty positions at the University of Newcastle, Australia (2004-2006) and the University of Liverpool, UK (2006-2007). Her research spans fundamental signal processing theories, machine learning, and applications in image/video coding, non-destructive terahertz/ultrasound imaging, wireless communications, and sparse antenna arrays. Education: B.Eng (Electronic and Information Engineering), Southeast University, China (1998) M.Eng (Electronic and Information Engineering), Southeast University, China (2000) Ph.D (Information Engineering), Nanyang Technological University, Singapore (2004) Her research focuses on structured sparse signal processing for infrared/terahertz systems, super-resolution in non-destructive imaging, deep learning for terahertz data, non-orthogonal pilot design for 5G systems, and separation of singing voice from music. She has secured funding from EPSRC, Innovate UK, BBSRC, UK Atomic Energy Authority, and TWI. She actively contributes to academic service as an Associate Editor for IEEE Signal Processing Letters, IEEE Transactions on Circuits and Systems-I, and as a Meta Reviewer for ICASSP 2025. Her work has been recognized with a Best Paper Award from the Journal of The British Blockchain Association in 2022 and a Gold Medal at the IEEE Audio and Acoustic Signal Processing Challenge (DCASE) in 2022. Dr. Gan also serves as a reviewer for top journals like IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing, and participates in grant panels for the Royal Society and EPSRC. Recent publications emphasize cross-domain speech enhancement architectures, terahertz data reconstruction via spatio-temporal dictionary learning, and coprime array designs using Chinese remaindering over quadratic fields. Her work bridges compressive sensing, lattice structures, and practical applications in healthcare and communication systems. She is a Senior Member of IEEE, Fellow of the Higher Education Academy (UK), and actively contributes to departmental leadership as Course Director for MSc Wireless Communication Systems, Level 3 Coordinator, and Social Media Administrator.

Stephen SwiftView profile

Academic

• Multivariate Time Series Analysis
• Heuristic Search
• Data Clustering
• +4 more

Dr. Stephen Swift is a Reader in the School of Information Systems, Computing and Mathematics at Brunel University London within the College of Engineering, Design and Physical Sciences. His research spans multiple domains including bioinformatics, ophthalmology, and software engineering, with a focus on developing computational methods for analyzing complex data. B.Sc. in Mathematics and Computing from University of Kent M.Sc. in Artificial Intelligence from Cranfield University Ph.D. in Intelligent Data Analysis from Birkbeck College, University of London Dr. Swift's research centers on multivariate time series analysis, heuristic search algorithms, data clustering techniques, and evolutionary computation methods. His work applies these computational approaches to real-world problems in bioinformatics (particularly gene expression analysis), ophthalmology (glaucoma progression modeling), and software engineering (code quality metrics). His interdisciplinary research bridges computer science with medical and biological applications, developing novel algorithms for complex data analysis tasks. Analysis of Dr. Swift's recent publications reveals a strong focus on applying computational intelligence to healthcare challenges, particularly in diabetes management, glaucoma progression, and genetic disorders. His work consistently combines machine learning techniques with domain-specific knowledge to develop practical solutions for medical diagnostics and treatment personalization. The publications also demonstrate his continued interest in software engineering methodologies and computer vision applications. Dr. Swift has secured research funding from major UK research councils including EPSRC (Engineering and Physical Sciences Research Council) and BBSRC (Biotechnology and Biological Sciences Research Council), supporting projects such as 'Modelling Short Multivariate Time Series' and 'Analysing Virus Gene Expression Data to understand Regulatory Interactions.' His research has been conducted through collaborations with multiple institutions including University College London, Moorfields Eye Hospital, and Birkbeck College, demonstrating his ability to work across disciplinary boundaries to address complex scientific challenges.

Sipos MártonView profile

Lecturer

• Distributed Storage Systems
• Network Coding
• Edge Computing
• +7 more

Márton Sipos is an academic at the Department of Automation and Applied Informatics , part of the Faculty of Electrical Engineering and Informatics at the Budapest University of Technology and Economics . His work bridges distributed storage , network coding , and IoT with interdisciplinary collaborations in biomedical research . Contact: Sipos.Marton@aut.bme.hu . Academic Rank : Lecturer Research Focus : Edge-cloud continuum, data security, and network coding His research explores heterogeneous systems for IoT and edge computing, including frameworks like SERRANO and EMPYREAN . He also investigates blockchain-based file sharing (FileTribe) and medical topics like cervical artery dissection . Recent work emphasizes AI-driven resource allocation and time-series compression (Titchy). Key publication trends include: Network Coding for fault-tolerant storage Edge-Cloud integration (2021–2024) Blockchain applications in secure storage (2019) Medical Informatics in neurological studies (2019) Peer-to-Peer optimization via BitTorrent and WebRTC (2015–2017) Erasure Coding in dynamic environments (2018–2019)

Henrik WalterView profile

Professor

• Psychiatry
• Neuroscience
• Psychology
• +8 more

Henrik Walter is a Full Professor (W3) of Psychiatry with a focus on Psychiatric Neuroscience and Neurophilosophy at Charité – Universitätsmedizin Berlin. He serves as Director of the Mind and Brain Research Division and Deputy Medical Director (Research) at the Department of Psychiatry and Psychotherapy, Charité Campus Mitte. Walter is also a faculty member at the Berlin School of Mind and Brain , a faculty member of the Bernstein Computational Center Berlin , and a principal investigator at the Berlin Center for Advanced Neuroimaging . Clinical expertise: Schizophrenia and affective disorders Empirical research: Working memory, volition, reward mechanisms, emotion regulation, mentalization, imaging genetics, connectomics Philosophical research: Philosophy of mind, neurophilosophy, neuroethics, philosophy of psychiatry Research trends in his 15 most recent publications (2009-2024) emphasize connectome-based machine learning , dynamic network reconfiguration , self-control mechanisms , and predictive models for psychiatric relapse . His work explores the intersection of neural network organization , emotional processing , and philosophical frameworks in mental health. Walter oversees major projects including environMENTAL (data harmonization in large cohorts) and FOR5187 PREACT (personalized psychotherapy). His team actively trains students and researchers through internships, theses supervision, and doctoral programs.

• Communication Technologies
• Multimedia Technologies
• Human-Computer Interaction
• +3 more

Dr. Erhan Ekmekcioglu serves as a Visiting Fellow in Digital Technologies at Loughborough University, bringing over a decade of expertise in communication systems and human-computer interaction. Previously a Senior Lecturer (2017-2023) and Chief Programme Director (2019-2022) at the Institute for Digital Technologies, he now advises Ofcom on emerging technologies in UK telecommunications and broadcasting sectors. His academic credentials include: BSc (Hons) in Electrical and Electronic Engineering from Middle East Technical University, Turkey (2006) PhD in Multimedia Communication Technologies from University of Surrey, UK (2010) Ekmekcioglu's research centers on advanced multimedia systems with specific focus on multi-view video coding and next-generation communication interfaces. His work bridges theoretical innovation in signal processing with practical applications in media technologies, emphasizing user experience in emerging digital ecosystems. This expertise stems from his doctoral thesis on "Advanced Multi-view Video Coding Techniques" and subsequent industry-academia collaborations. He has secured research funding from the European Union and British Government as co-investigator on multiple projects, while his academic leadership encompassed curriculum development across MSc programmes and oversight of teaching quality during his tenure as Chief Programme Director. Current advisory work at Ofcom extends this expertise into regulatory frameworks for converging media and communications technologies.

Amy PavelView profile

Assistant Professor

• Human-Computer Interaction
• Accessibility
• Artificial Intelligence
• +4 more

Amy Pavel is an Assistant Professor in the Department of Computer Science at the University of Texas at Austin. Prior to this role, she was a Postdoctoral Fellow at Carnegie Mellon University and a Research Scientist at Apple. Her research bridges Human-Computer Interaction and Accessibility, focusing on AI-driven systems for efficient and inclusive communication. Education: PhD in Computer Science from UC Berkeley (2019), advised by Björn Hartmann and Maneesh Agrawala. Teaching: Regularly teaches Human-Computer Interaction courses at UT Austin and UC Berkeley. Her work addresses accessibility challenges through systems like Rescribe (audio descriptions), CrossA11y (video accessibility), and GenAssist (image generation). Recent projects explore AI applications for low-vision learners, photosensitivity warnings in VR, and collaborative video editing. Award highlights include 2023 UIST Best Paper 2022 UIST Best Paper 2020 CHI Honorable Mention (twice) 2018 UC Berkeley EECS Outstanding Graduate Student Instructor She advises PhD students like Mina Huh and Yi-Hao Peng, as well as undergraduates and masters students. Her lab collaborates with institutions including Google, Carnegie Mellon, and UC Berkeley.

Josef BigunView profile

Professor

• Computer Vision
• Artificial Intelligence
• Biometric Signal Analysis
• +3 more

Josef Bigun is a Professor at the School of Information Technology, Halmstad University , Sweden, since 1998. His research focuses on Computer Vision, Biometric Signal Analysis, and Artificial Intelligence , with emphasis on periocular recognition, iris biometrics, and motion analysis . He has been recognized as a Fellow of the IAPR (2000) and Fellow of the IEEE (2003) , becoming Sweden's first IEEE Fellow in image analysis. Education : M.Sc. and Ph.D. from Linköping University (1983, 1988) Key Projects : EU projects (BBfor2, BIOSECURE, ACTS-M2VTS), Swedish VR/SSF projects, Swiss Fonds National projects His recent publications focus on CNN optimization, periocular biometrics, and cross-spectral recognition . He has developed innovative Continuous Examination systems using spiral codes for educational assessment and contributed to biometric standards for the European Association for Biometrics . Scientific Awards : Fellow of the IAPR (2000) Fellow of the IEEE (2003) Top 10 Scientist in Sweden (Scopus AI & Image Processing, 2024 Stanford study) Listed on research.com's top Computer Science researchers (Sweden) He has served on organizing committees for ICPR, ICIP, ICB conferences and co-founded the Audio and Video Based Person Authentication conference (now ICB). His work appears in journals like Pattern Recognition Letters and IEEE Image Processing .

• Computer Graphics
• Image Processing
• Deep Learning
• +8 more

Prof. Dr. Uluğ Bayazıt is a Professor at Istanbul Technical University's Department of Computer Engineering. His research focuses on computer graphics, image processing, deep learning, and biomedical signal analysis. Doctorate: Rensselaer Polytechnic Institute (1993) BSc: Boğaziçi University Electrical and Electronic Engineering (1991) Research interests include: Smart city solutions using computer vision 3D mesh compression algorithms Electromyography signal analysis for prosthetics Deep learning applications in agricultural monitoring Recent publications span neural computing, multimedia tools, and graphical models. Key projects include: "Eye of the City" smart city initiative Plant phenology classification via image sequences Geometry video compression techniques As Principal Investigator (PI), he leads research grants funded by BAP and TTO. He has 46 research outputs and an h-index of 126 (Scopus). Active in IEEE from 1991-2014, with expertise in signal processing and mesh geometry.

Panayiota KendeouView profile

Professor

• reading comprehension
• knowledge and belief revision
• misinformation
• +3 more

Panayiota Kendeou is a Professor in Educational Psychology at the University of Minnesota. Her research focuses on reading comprehension, knowledge revision, and combating misinformation through digital literacy interventions. 2015: Early Career Impact Award 2012: Tom Trabasso Young Investigator Award 2009: UKLA Research in Literacy Award Key research themes include: Epistemic cognition and self-regulated learning Technology-based assessment tools Misinformation and fake news mitigation Language comprehension disparities Adaptive training for code comprehension Cognitive processes in refutation texts Current projects span partnerships with Arizona State University, McGill University, and the U.S. Department of Education. Her 2025 publications address AI's educational impact, knowledge revision mechanisms, and epistemic emotion dynamics. Active research areas include: Interactive Strategy Training (iSTART-Early) Code comprehension adaptive training Early language comprehension interventions Behavioral energy efficiency education