Peeter Ross is a Tenured Associate Professor (50% part-time) at Tallinn University of Technology's Department of Health Technologies, School of Information Technologies, and a Radiologist (25% part-time) at East Tallinn Central Hospital. His dual roles bridge academic research and clinical practice, with affiliations spanning over two decades in Estonia's healthcare and academic sectors. Education: Doctor of Philosophy in Health Technologies, Tallinn University of Technology (2007–2011) Specialization in Radiology, University of Tartu (1994–1996) and University of Oulu (1995) Medical Doctor, University of Tartu (1985–1991), with studies at University of Helsinki (1989–1990) Research Focus: His interdisciplinary work integrates Clinical Medicine, Medical Engineering, and Computer Science, particularly in telemedicine, diagnostic imaging, and healthcare data systems. He developed patented medical training technology and contributed to Estonia's e-Health infrastructure through national foundation roles. Career Highlights: Includes 24+ years as a hospital radiologist, academic leadership (Professor/Associate Professor roles since 2012), and innovation in medical devices. His lab work at the eMedicine Laboratory (2014–2016) advanced cardiology-related health technologies.
Juri Belikov is a Tenured Associate Professor at Tallinn University of Technology's School of Information Technologies, Department of Software Science, where he has served since 2019 (initially as an Assistant Professor until 2023). Since February 2022, he has also led the Nonlinear Control Systems group. His academic journey began with a B.Sc. in Mathematics (cum laude) from Tallinn University (2003-2006), followed by M.Sc. and Ph.D. degrees in Computer and Systems Engineering and Information and Communication Technology from Tallinn University of Technology. After completing his doctoral research on polynomial methods for nonlinear control systems in 2012, he conducted post-doctoral research at Technion—Israel Institute of Technology (2015-2017). Professor Belikov's research spans power systems, control engineering, and energy data science, with particular expertise in nonlinear control systems for energy applications. His work addresses critical challenges in renewable energy integration, energy storage management, building energy efficiency, and applications of machine learning in power systems. His approach combines theoretical control methods with practical energy system applications, resulting in publications that bridge engineering theory and real-world implementation. His recent publications demonstrate a clear trend toward integrating advanced data science techniques with traditional power system engineering, particularly in the areas of explainable AI for energy forecasting, stability analysis of renewable-rich power systems, and optimization of building energy management. This interdisciplinary approach has positioned him at the intersection of computer science, control theory, and energy systems engineering. Best paper award from International Conference on Power, Control, and Computing Technologies (2024) Tallinn University of Technology, Young scientist of the 2020 year (awarded 2021) Best-of-the-best conference paper award from IEEE PES General Meeting (2020) Estonian Cultural Foundation of the President, Young IT-scientist award (2019) As an educator, Professor Belikov teaches 'Energy Data Science' (ITS8080), equipping students with IT knowledge and skills for energy sector solutions using data science tools. His administrative roles include membership on the evaluation committee of the Estonian Research Council (ETAG) since 2023, Senior Member of IEEE since 2019, and full membership in Sigma Xi since 2024. His leadership of the Nonlinear Control Systems group demonstrates his commitment to advancing research in control methodologies for modern energy systems, particularly as they integrate increasing amounts of renewable generation and digital technologies.
Elena Safiulina is an Associate Professor at the Centre for Sciences, TTK University of Applied Sciences, and a Visiting Lecturer at Estonian Entrepreneurship University of Applied Sciences. Her academic journey includes a PhD in Mathematics (2013) and an MSc in Educational Technology (2024), both focused on innovative pedagogical approaches. Research Interests: Her work bridges mathematics education with technology, specializing in: AI-driven learning platforms and OER quality assessment E-learning optimization using automated assessment systems Geometry applications in engineering education Preventing AI-assisted cheating through pedagogical design Publication Trends: Recent works (2022-2025) demonstrate strong focus on: AI integration in STEM education Development of multilingual mathematical resources Innovative assessment methods for engineering mathematics Systematic analysis of edtech challenges in higher education Supervision & Projects: Supervised MSc candidate Anna Šeletski (2024) and contributed to 6 EU-funded projects including Erasmus+ initiatives like Gate2Math (OER development) and PRODIMOD (business process education). Secured €369,000+ in research funding.
Mart Ratas (born September 4, 1990) is a researcher with appointments at King's College London's Department of Biostatistics & Health Informatics (2022-2026) and Tallinn University of Technology's Department of Cybernetics. His career spans multiple institutions including University of Reading where he worked as a post-doctoral research assistant in causal discovery (2021-2022). At Tallinn University of Technology, he has held various research positions including Research Fellow and Junior Research Fellow since 2016. Ratas completed his PhD in Physical Sciences in 2020 at Tallinn University of Technology with his dissertation titled Numerical Analysis of Nonlinear Wave Propagation , supervised by Andrus Salupere and Jüri Majak. He previously earned a Master's degree in Engineering Physics in 2016 and a Bachelor's degree in Engineering Physics in 2014, both from Tallinn University of Technology. His research spans several interconnected domains with primary focus on numerical methods for nonlinear wave propagation , particularly using Haar wavelet techniques. His work extends into medical informatics as evidenced by his 2024 publication on NLP for healthcare providers, epidemiological modeling including COVID-19 spread analysis, and biorobotics through contributions to the U-CAT underwater robot project. His mathematical expertise in spectral analysis and nonlinear systems forms the foundation for applications across physics, engineering, and biomedical domains. Analysis of his publication timeline reveals an evolution from fundamental mathematical research on wave propagation and nonlinear systems toward increasingly applied work in healthcare informatics and epidemic modeling. His recent publications demonstrate a strong interdisciplinary approach, bridging computational mathematics with practical healthcare applications, while maintaining his core expertise in numerical methods for differential equations. Ratas has contributed to several significant research projects including the €1.225M Modelling of nonlinear wave processes in advanced materials (2021-2025), the €120K Monte-Carlo analysis of virus spreading during the pandemic (2020-2021), and the €843K Bio-inspired underwater robots project (2015-2020). These projects demonstrate his ability to work on both theoretical mathematical problems and applied engineering challenges. His technical expertise spans computational mathematics, wavelet methods, and software development, with his current role at King's College London focusing on Research CogStack development. His work on the U-CAT biomimetic underwater robot shows practical application of his theoretical knowledge in robotics and control systems.
Anna Saksa serves as a Lecturer in the Department of Cybernetics within the Division of Mathematics at Tallinn University of Technology. Her academic office is located in Room U05-421 at the university's main campus address: Ehitajate tee 5, Tallinn, Estonia. Her research profile centers on Cybernetics and its interdisciplinary applications, with primary focus areas including Control Systems for dynamic processes, Robotics for autonomous systems development, Computer Science foundations for algorithm design, Artificial Intelligence for decision-making frameworks, Systems Theory for complex network analysis, and Automation Engineering for industrial implementations. This research portfolio aligns with the Department of Cybernetics' mission to advance intelligent control solutions and computational methodologies. Professional correspondence may be directed to anna.saksa@taltech.ee , reflecting her active institutional affiliation and academic engagement.
Andrus Salupere is a distinguished Professor and current Dean of the School of Science at Tallinn University of Technology. He holds a Tenured Full Professor position in the Department of Cybernetics, where he previously served as Director from 2017-2020. His academic career spans over three decades with significant leadership roles including Chairman of the Estonian National Committee for Mechanics since 2009 and representing Estonia in the IUTAM General Assembly. Salupere's educational background includes a Doctor's degree earned in 1991 from Tallinn University of Technology with his dissertation on "Optimal design of rigid-plastic stepped circular and annular plates" supervised by Ülo Lepik. His academic journey began at the University of Tartu where he completed his studies in Applied Mathematics (1976-1981) followed by PhD studies (1983-1986). His research focuses on continuum mechanics, nonlinear waves, and soliton theory, with significant contributions to numerical methods for solving nonlinear partial differential equations. Salupere's work bridges mathematical physics with practical applications in materials science and nondestructive testing. His recent publications demonstrate expertise in Haar wavelet methods for nonlinear PDEs, solitonic structures in hierarchical KdV systems, and applications of nonlinear wave phenomena in material characterization. His research portfolio reveals consistent exploration of wave propagation phenomena across multiple media types, from theoretical mathematical models to practical applications in carbon fiber composites and biological tissues. This interdisciplinary approach connects fundamental mathematical physics with engineering applications in nondestructive testing and materials characterization. Honors & Awards Order of the White Star, 4th Class (2013) Salupere maintains active involvement in academic governance as a member of TalTech Senate and its Committee for Academic Affairs. His international collaborations include visiting fellowships at Cambridge University (2002, 1998) and post-doctoral research at the University of Paris 6 (1993-1994). He has organized special issues on nonlinear wave complexity in the Proceedings of the Estonian Academy of Sciences and serves on multiple expert panels including the Estonian Research Council's Expert Panel for Natural Sciences.
Annemai Raidjõe serves as a Lecturer in the Department of Cybernetics at Tallinn University of Technology, based in room U05-410 at Ehitajate tee 5, Tallinn. Her contact email is annemai.raidjoe@taltech.ee, reflecting her active institutional affiliation. Her research interests—deduced from departmental context—span Cybernetics, Control Systems, Robotics, Artificial Intelligence, Computer Science, and Systems Engineering, emphasizing interdisciplinary approaches to complex system design and automation. No scientific awards, student advisement records, or research grants are documented in the available information, indicating limited public academic profiling beyond core teaching responsibilities.
Jaan Varik serves as a Lecturer in the Department of Cybernetics at Tallinn University of Technology, where he contributes to academic instruction and research initiatives within the university's engineering framework. His research expertise encompasses interdisciplinary cybernetics with emphasis on: Theoretical control systems Robotics engineering Artificial intelligence applications Computer science methodologies Systems engineering principles Automated decision-making frameworks This scholarly focus aligns with the department's mission to advance intelligent system design and complex process optimization through rigorous academic inquiry.
Marko Vendelin is a Tenured Full Professor at Tallinn University of Technology's School of Science, Department of Cybernetics, where he also leads the Laboratory of Systems Biology. His academic career spans over two decades with continuous appointments at Tallinn University of Technology since 1997, including prestigious fellowships from Wellcome Trust and EU Marie Curie programs. His educational background includes a Doctor's Degree (2001) and Research Master's Degree (1997), both from Tallinn University of Technology under supervision of Jüri Engelbrecht, focusing on cardiac mechanoenergetics and electrical activation modeling. His research interests center on heart muscle biophysics, bioenergetics, and biomechanics, with particular emphasis on energy transfer systems in cardiomyocytes. Analysis of his recent publications reveals strong focus on cardiac metabolism, sex-specific differences in heart structure, and advanced imaging techniques. His work frequently examines creatine kinase systems, calcium handling mechanisms, and metabolic compartmentalization in cardiac cells. The publications span high-impact journals including American Journal of Physiology, PLoS Computational Biology, and FEBS Letters. Awarded the National Science Award in 2008 and recognized as Tallinn University of Technology's Young Investigator of the Year in 2007, his scientific contributions have been widely recognized. His editorial service includes roles at American Journal of Physiology: Cell Physiology and numerous manuscript reviews for leading journals. Prof. Vendelin has supervised two postdoctoral researchers and served as external reviewer for PhD theses at multiple European institutions. His administrative roles include leadership positions in COST Actions CA16225 and CA15203, and chairing joint meetings of major physiological societies across Europe.
