Predictive Coding Professors and Supervisors in Netherlands

Eva Medico SalsenchView profile

Researcher

Erasmus University RotterdamNetherlands

Eva Medico Salsench is a Researcher in the Clinical Genetics department at Erasmus MC, focusing on the molecular mechanisms of genetic brain disorders. Her work bridges fundamental genetic research with clinical applications, particularly in understanding regulatory elements and enhancer regions in neurodevelopment. Her research interests center on the non-coding genome's role in brain disorders, with specific expertise in enhancer regions, regulatory elements, and zebra fish models for studying neurological conditions. She investigates how mutations in genes like AMFR and YIF1B lead to disorders such as hereditary spastic paraplegia and other neurodevelopmental conditions, with recent work exploring potential statin treatments for genetic neurological disorders. Her publications from 2021-2023 demonstrate a strong focus on integrating multi-omics approaches to understand brain development and genetic disorders. The research spans from basic mechanisms of gene regulation to clinical applications, with particular attention to autosomal recessive inheritance patterns and potential therapeutic interventions. Dr. Medico Salsench collaborates extensively with international research teams across Europe and beyond, as evidenced by her multi-author publications with researchers from various institutions worldwide. Her work has gained attention in academic circles with significant citation counts and social media engagement.

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Anja ErnstView profile

Assistant Professor

University of GroningenNetherlands

Dr. Anja Ernst is an Assistant Professor at the University of Groningen's Faculty of Behavioural and Social Sciences, affiliated with the Psychometrics & Statistics Department. She holds a PhD in Dynamic Clustering (2022) and focuses on statistical modeling for intensive longitudinal data, clustering methods, and software implementation. Her research includes developing latent class vector-autoregressive models and promoting open-source tools via GitHub and the Open Science Framework. Education: BSc Psychology (cum laude), Honours College Research Master in Psychometrics & Statistics (cum laude) PhD on Dynamic Clustering (supervised by Albers & Timmerman) Research Interests: Ernst's work centers on between-individual differences in longitudinal data, statistical software development, and improving statistical methodology adoption in empirical research. She emphasizes practical applications through freely available code and collaboration with researchers globally. Grants & Awards: Recipient of the NWO Research Talent grant supporting her PhD research. Active in promoting research transparency and open science practices. Teaching & Mentorship: Teaches Advanced Statistics and supervises multiple PhD students focusing on psychometrics and statistical techniques. Leads the Methodology shop supporting students and researchers in methodology design.

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Bram BovendeerdView profile

Researcher

University of GroningenNetherlands

Bram Bovendeerd is a researcher at the University of Groningen , specializing in mental health and psychotherapy. His work focuses on systematic client feedback mechanisms to improve treatment outcomes and mental health service delivery. Collaborated internationally on progress feedback implementation frameworks Conducted multidisciplinary research in psychotherapy and evidence-based practice Research Interests: Bovendeerd investigates how measurement-based care, progress feedback systems, and multi-level modeling can enhance psychotherapy processes. His work addresses clinical implementation challenges and contextual factors affecting treatment efficacy. Key Article Trends: Recent publications emphasize cross-country implementation strategies (2025), feedback-driven outcome prediction models (2025), and client-therapist feedback dynamics (2024). Research spans qualitative coding schemes, meta-analysis of psychotherapy interventions, and digital health tool integration. Scientific Awards: RINO Groep Posterprijs (2016) Contributions: Bovendeerd has participated in 4 media contributions, including expert commentary on psychotherapy during the pandemic and client decision-making frameworks. His collaborations with 17 international researchers demonstrate interdisciplinary engagement in mental health policy and clinical practice innovation.

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Charlotte GooskensView profile

Associate Professor

University of GroningenNetherlands

Charlotte Gooskens is an Associate Professor with ius promovendi at the University of Groningen's Faculty of Arts, Department of Applied Linguistics. Her research focuses on multilingualism, sociolinguistics, dialectology, and the mutual intelligibility of closely related languages. She holds a PhD from the University of Nijmegen (1997) and has held academic positions since 1999, progressing from Assistant to Associate Professor in Scandinavian and European linguistics. Her key projects include a Netherlands Organization for Scientific Research (NWO)-funded study on mutual intelligibility across Germanic, Romance, and Slavic languages (2011–2016), and earlier work on Scandinavian language comprehension asymmetries (2006–2011). She explores linguistic and extra-linguistic factors like prosody, syntax, and socio-cultural attitudes influencing language comprehension. Research highlights include studies on Finland-Swedish bilingualism, articulation rates in Scandinavian languages, and computational models of linguistic distances. She advises on language policy, particularly regarding receptive multilingualism in Europe, and collaborates internationally on projects like ELF (English as a Lingua Franca) comprehension compared to native language pairs. Her work spans experimental methods (e.g., web-based intelligibility tests), dialectometry, and psycholinguistic approaches. She has published extensively in journals like Linguistics , Nordic Journal of Linguistics , and Language Variation and Change , and authored a monograph on mutual intelligibility in 2024.

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Syed Hassan ShahView profile

Adjunct Professor

National Research Institute for Mathematics and Computer ScienceNetherlands

Dr. Syed Hassan Shah is a distinguished adjunct faculty member at California State University, Fullerton's Department of Computer Science, where he teaches graduate-level courses. Concurrently, he serves as a Wi-Fi connectivity subject matter expert and Product Director for Short Range Technologies at Quectel Inc., and previously held roles as Product Manager for Mobile & Compute Connectivity at Qualcomm Inc., focusing on Mi-Fi, CPE, and UWB technologies. Ph.D. in Computer Science & Engineering, Kyungpook National University, South Korea (2013-2017) BS in Computer Science, Kohat University of Science & Technology, Pakistan (2007-2012) Dr. Shah's research spans interdisciplinary domains in Wireless Communications , Cyber-Physical Systems , and Smart Cities , with significant contributions to Vehicular Networks , Internet of Things , and Future Internet Architectures . His recent publications demonstrate expertise in Neural Networks , Optimization Theory , and Security & Privacy applications. Scientific recognition includes: Qualcomm Innovation Award (2016) IEEE Senior Member (2018) ACM Distinguished Speaker (2018) Best Research Contribution Award (Brain Korea, 2016) Multiple travel grants from ACM and IEEE KNU Honors Scholarship (2013) Dr. Shah actively contributes to academic governance as: Editorial Board Member for 60+ special issues in top-ranked journals TPC Member for 100+ international conferences including IEEE Globecom and ACM MobiHoc IEEE Vehicular Technology Society Board appointee (2018-2019)

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Guillaume EtterView profile

Researcher

University of GroningenNetherlands

Guillaume Etter is a Researcher at the Faculty of Science and Engineering , University of Groningen , affiliated with the Groningen Institute for Evolutionary Life Sciences . His work bridges neuroscience and artificial intelligence , focusing on learning and memory mechanisms in neural circuits. Education : PhD in Neuroscience (2017) from the University of Strasbourg, supported by the Ministry of Education and Research and the Fondation pour la Recherche Médicale. Postdoctoral training at McGill University (miniaturized head-mounted microscopes) and Quebec Institute of AI (MILA) (AI models inspired by neocortex architecture). Research Interests : Microcircuit dynamics of excitatory and inhibitory neurons in synaptic weight updating. Applying biological neural network insights to artificial intelligence (especially lifelong learning ). Developing predictive methods for neurodegenerative disorders (e.g., Alzheimer’s disease) using combined neuroscience and AI approaches. Articles Trends His publications focus on optogenetics , hippocampal circuits , and memory disorders , with recent work on REM sleep reactivations (2024), theta/gamma oscillations (2023–2024), and seizure modulation (2022–2023). Topics span neural coding , spatiotemporal dynamics , and therapeutic applications for Alzheimer’s. Scientific Awards Amii Emerging Talent Award (2023, 2022). Open Science in Action (2020). Roger J Paiement Award (2017, 2016). Expertise includes deep learning , reinforcement learning , in vivo calcium imaging , electrophysiology , and optogenetics . He contributes to UN Sustainable Development Goals related to healthcare and neurodegenerative diseases .

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Andrew NelsonView profile

Assistant Professor

Eindhoven University of TechnologyNetherlands

Andrew Nelson is a part-time Assistant Professor at the Electronic Systems department, College of Engineering , Eindhoven University of Technology . He also serves as a founder and R&D lead at Verintec Solutions B.V. . Research Focus : Predictable and composable embedded systems, real-time robotics, multi-sensor fusion for industrial positioning, multi-core processor optimization. Key Contributions : Development of the CompSOC platform, CompROS architecture for ROS2, and novel multi-rate control strategies. Recent Article Trends : His work emphasizes predictable execution on multi-core platforms, sensor fusion techniques (linear encoders + vision systems), and real-time robotics. Articles span 2015–2025, highlighting collaborations with institutions like TU/e and ECSEL JU grant projects IMOCO4.E (2021–2023) and COMP4DRONES (2021).

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Kees GoossensView profile

Professor

Eindhoven University of TechnologyNetherlands

Kees Goossens is Full Professor of Real-time Embedded Systems in the Electronic Systems group at Eindhoven University of Technology (TU/e). He leads the CompSOC Lab focused on predictable and composable embedded systems. His research spans composable virtualization, real-time systems, low-power design, and FPGA-based dynamic partial reconfiguration. Previously at NXP Semiconductors, he pioneered networks-on-chip research including the Aethereal NoC architecture. His research interests include: Composable and predictable embedded systems Real-time networks-on-chip (NoC) Memory management and controllers FPGA reconfiguration Hardware verification Low-power electronic design Publication analysis shows consistent focus on real-time systems, networks-on-chip, memory controllers, and embedded systems design, with recent expansion into machine learning applications for networking and error-correction coding. His work frequently addresses automotive and industrial control applications. Editorial contributions include: ACM TODAES editorial board (since 2009) Associate editor for Springer DAEM journal (since 2006) Guest editor for multiple NoC special issues He leads the CompSOC laboratory developing virtualized execution platforms for mixed-criticality systems. Current educational activities include courses on Systems-on-Chip, Embedded Systems, and Computer Architecture.

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Antonios LiapisView profile

Associate Professor

Codarts RotterdamNetherlands

Antonios Liapis is an Associate Professor at the Institute of Digital Games, University of Malta. He completed his PhD in September 2014 under the supervision of Georgios N. Yannakakis at the IT University of Copenhagen. His academic journey includes an M.Sc. in Information Technology from the same institution and a 5-year Diploma in Electrical and Computer Engineering from the National Technical University of Athens. Dr. Liapis has held various academic positions at the University of Malta: Post-doctoral Researcher (2014-2015), Lecturer (2015-2020), Senior Lecturer (2020-2022), and currently Associate Professor (2022-present). He has served as General Chair for multiple international conferences including FDG (2020), GALA (2019), and EvoMusArt (2018-2019). He is an Associate Editor of the IEEE Transactions on Games and a member of the Games Technical Committee of the IEEE Computational Intelligence Society. His research focuses on Artificial Intelligence as an autonomous creator and as a facilitator of human creativity. Key areas include computationally intelligent tools for game design and computational creators that blend semantics, visuals, sound, plot, and level structure to create various game genres including horror, adventure, shooter, and dungeon crawler games. His work has resulted in over 150 peer-reviewed publications and several research awards. Dr. Liapis has secured multiple research grants from the European Commission, including projects on AI-powered robotic material recovery, virtual reality aided design, and learning science through coding and play. His notable project series "Data Adventures" demonstrates the use of open data from Wikipedia, DBpedia, Wikimedia Commons, and OpenStreetMap to automatically generate adventure games with complete plots, characters, items, and locations. His scientific contributions have been recognized with several awards including Best Paper Awards at major conferences, Best Reviewer Award, and Runner-Up Best Student Paper Award. Dr. Liapis has also co-organized 16 workshops in diverse conferences throughout his career. Research interests include: Artificial Intelligence for creative applications Procedural Content Generation in games Computational Creativity systems Machine Learning for game design Affective Computing in virtual environments Human-AI collaboration in creative processes His recent work shows a strong trend toward integrating Large Language Models with game design, exploring quality diversity algorithms for creative applications, and advancing affect modeling for improved player experience. The research spans computer science, artificial intelligence, game studies, and human-computer interaction, with practical applications in education, entertainment, and design.

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Harry HochheiserView profile

Assistant Professor

National Research Institute for Mathematics and Computer ScienceNetherlands

Harry Hochheiser is an Assistant Professor in the Department of Biomedical Informatics at the University of Pittsburgh School of Medicine, where he also serves as Associate Director of the Biomedical Informatics Training Program. His academic career spans multiple disciplines at the intersection of computing and healthcare, with a strong focus on human-computer interaction, bioinformatics, and medical informatics. Dr. Hochheiser's research interests include human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. His work particularly focuses on NIH-funded projects related to bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases. His research demonstrates a commitment to developing technology that addresses real clinical needs while considering user experience and ethical implications. His publication record shows consistent scholarly output across multiple domains, with recent work emphasizing biomedical informatics, machine learning applications in healthcare, epidemiological modeling, and academic publishing practices. His research demonstrates a strong interdisciplinary approach that bridges computer science with clinical medicine and public health, with particular attention to human-centered design principles in healthcare technology. Editorial Board Member, PeerJ - the Journal of Life & Environmental Sciences Editorial Board Member, PeerJ Computer Science Over 2,900 points on PeerJ representing 2,800 editorial contributions and 105 reviews Dr. Hochheiser has made significant contributions across numerous subject areas including Science and Medical Education, Science Policy, Statistics, Human-Computer Interaction, Computational Science, Bioinformatics, and many others. His work has practical implications for healthcare technology development, particularly in creating more effective, user-friendly systems that address real clinical needs while considering privacy and security concerns.

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