جست‌وجوی استاد و پژوهشگر

• Power Systems
• Control Systems
• Nonlinear Control
• +۴ مورد دیگر

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.

Vitoria Piaiمشاهده پروفایل

استاد پژوهشی

• Cognitive Neuroscience
• Language Processing
• Electrophysiology
• +۵ مورد دیگر

Vitoria Piai is a Principal Investigator specializing in language function and dysfunction at the Donders Institute for Brain, Cognition, and Behaviour, Radboud University in Nijmegen, Netherlands. With over 135 publications and 2,595 citations, her research focuses on the neural mechanisms underlying language production using electrophysiological methods including EEG and MEG. Dr. Piai's research interests center on speech production, particularly examining the temporal dynamics of lexical and phonological processing. Her work investigates how brain oscillations relate to different stages of speech planning, how cognitive control mechanisms operate during language production, and how language networks adapt following brain damage. She employs various paradigms including picture-word interference, context-driven word production, and sentence comprehension tasks to explore these questions. Analysis of her recent publications (2024-2025) reveals consistent focus on neural oscillations during speech production, particularly examining alpha and beta band activity. Her work increasingly bridges cognitive neuroscience with clinical applications, investigating language production in aging populations, individuals with aphasia, and those with neurological conditions. She frequently employs multimodal approaches, combining behavioral measures with electrophysiological recordings to provide comprehensive insights into language processing. Dr. Piai has established significant research collaborations across institutions, particularly with colleagues at Radboud University, University of California Berkeley (where she completed postdoctoral work), and various clinical centers. Her work contributes to both theoretical understanding of language production mechanisms and practical applications for language assessment and rehabilitation.

• Wireless Communications
• Signal Processing
• Artificial Intelligence
• +۵ مورد دیگر

Berker Peköz serves as Assistant Professor in the Department of Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University's College of Engineering. His expertise spans wireless communications, artificial intelligence security, and hardware systems, with significant contributions to 5G/6G technologies and aerospace applications. His educational foundation includes: B.S. in Electrical & Electronics Engineering M.S. in Electrical Engineering Ph.D. in Electrical Engineering Research focuses on cutting-edge intersections of communications and AI, particularly transformer model security, antenna-based authentication, and error-correction for emerging hardware. His work bridges theoretical innovation with practical aerospace implementations, evident in patents for antenna array geometries and publications addressing real-world challenges like contested IoT environments and spectral efficiency. Recent publications (2019-2025) show accelerating output with increasing emphasis on AI security frameworks. Scientific recognition includes: National Academy of Inventors membership (2019) Tau Beta Pi honor society induction (2018) Funding is evidenced through patent activity and consistent publications, though specific grants aren't detailed. He mentors students through undergraduate courses (EE 307 Avionics I, EE 327 Electrical Engineering Fundamentals) with likely graduate research supervision in communications security. His interdisciplinary approach connects electrical engineering fundamentals with next-generation AI and aerospace systems, positioning students for careers in secure communications and hardware innovation.

Paco Lopez Dekkerمشاهده پروفایل

دانشیار

• Remote Sensing
• Synthetic Aperture Radar
• Earth Observation
• +۵ مورد دیگر

Dr. Paco Lopez Dekker is an Associate Professor at Delft University of Technology's Department of Geoscience and Remote Sensing and Group Leader at the German Aerospace Center (DLR) Microwaves and Radar Institute. His research focuses on advanced radar remote sensing , particularly Synthetic Aperture Radar (SAR) systems for Earth observation. Key areas include: Bistatic/multistatic SAR configurations Ocean surface current and wave dynamics Land ice deformation monitoring Satellite mission design (e.g., ESA's Harmony mission) Radar signal processing innovations He leads the Satellite Radar Lab at TU Delft, developing cutting-edge techniques like super-resolution PSI and multi-satellite interferometry. His recent publications (2023-2025) emphasize: CubeSat-based radar altimetry systems Physics-guided ML for agricultural remote sensing Cryosphere applications of bistatic SAR Harmony mission performance analysis Ocean topography retrieval methods With 275+ publications and ongoing leadership in ESA missions, Dr. Dekker significantly advances satellite remote sensing capabilities for geoscience applications.

Bertram Opitzمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Learning and Memory
• Neurocognition
• +۳ مورد دیگر

Bertram Opitz serves as Professor of General Psychology at Medical School Brandenburg Theodor Fontane since September 1, 2022. He is based at the Neuruppin Campus (Am Alten Gymnasium 1-3, 16816 Neuruppin) where he leads research and teaching activities in the General Psychology department. Professor Opitz's research focuses on the neurocognitive foundations of learning and memory, feedback processing, and second language acquisition . His work bridges cognitive psychology with neuroscience, examining how the brain processes information during learning and adapts behavior based on feedback. He has published extensively on topics including error-related cognitive control mechanisms, neural binding in memory processes, and sequence prediction in both typical and developmental disorder contexts. His recent publications (2010-2021) demonstrate a consistent focus on cognitive neuroscience approaches to understanding learning mechanisms. Key themes across his work include the interplay between rule-based and similarity-based learning systems, hippocampal contributions to memory function, and the neural mechanisms underlying behavioral adaptation following errors. Professor Opitz teaches General Psychology, Biological Psychology, and Cognitive Neuroscience courses, reflecting his expertise at the intersection of psychological theory and neuroscientific principles. His educational philosophy appears aligned with his research interests, emphasizing the brain's capacity for self-examination as reflected in his quote: 'The human brain is the only thing that wants to explain itself.' Students and collaborators can contact Professor Opitz via email at bertram.opitz@mhb-fontane.de or by phone at +49 3391 39-14600 for research opportunities and academic inquiries.

Brandon Aldermanمشاهده پروفایل

دانشیار

• Exercise Psychology
• Cognitive Neuroscience
• Psychophysiology
• +۳ مورد دیگر

Brandon Alderman serves as Associate Professor and Department Chair in the Department of Kinesiology and Health at Rutgers University's School of Arts and Sciences. Based at Douglass Campus in Loree Gym 107, he directs the Exercise Psychophysiology Lab (Health Neuroscience Laboratory) and teaches courses including Physical Activity and Health, Exercise Psychology, and Research Methods in Exercise Science. Education: Ph.D. in Interdisciplinary Exercise Science Research Focus: Dr. Alderman's work centers on exercise-induced enhancements to physiological, neurocognitive, and psychological resilience using psychophysiological techniques like event-related potentials and impedance cardiography. His research targets at-risk populations, particularly examining exercise's role in improving emotional reactivity and cognitive function in depression and anxiety disorders, while also investigating physical activity correlates across age groups. Publication Trends: His 2015-2018 publications reveal consistent exploration of exercise-neurocognition-mental health intersections, with emphasis on depression interventions, concussion impacts on cognitive monitoring, workplace activity solutions, and combined meditation-exercise protocols. Methodologically, his work prioritizes advanced psychophysiological assessment of acute/chronic exercise adaptations across clinical and healthy populations. Laboratory Operations: The Health Neuroscience Lab (Loree Gym 060 Suite) operates extended hours (Mon-Fri 8am-7pm, Sat 9am-1pm, Sun 10am-1pm) conducting research on exercise mechanisms for mental health resilience through impedance cardiography and electroencephalography, with applications for intervention development targeting anxiety and depression.

Manfred Keilمشاهده پروفایل

دانشیار

• Macroeconomics
• Econometrics
• Statistics
• +۵ مورد دیگر

Manfred Keil serves as Associate Professor in the Economics Department at Claremont McKenna College's Robert Day School of Economics and Finance, specializing in macroeconomic policy and empirical analysis. His educational background includes a Zwischenpruefung from Goethe Universitaet Frankfurt, M.S. and Ph.D. degrees from the London School of Economics, and an M.A. from the University of Texas. Professor Keil's research centers on comparative economic performance across nations and regions, with significant contributions to business cycle forecasting methodologies. His expertise spans central bank policymaking, data science applications in economics, and regional economic integration dynamics, consistently employing rigorous statistical frameworks to address complex macroeconomic questions. His publication record demonstrates sustained scholarly impact since the late 1980s, with recent work advancing probabilistic approaches to economic expansion forecasting (2023) and historical investigations into political business cycles. Key thematic areas include inflation-growth nonlinearities, capital mobility constraints in developing economies, and comparative unemployment analysis across North America and Europe. Teaching responsibilities encompass core courses in Macroeconomics, Econometrics, and Statistics, reflecting his methodological strengths. Office hours are maintained Tuesday 12:30-1:30pm, Thursday 10:00-11:00am, and Wednesday 6:30-7:30pm via Zoom from Bauer Center 315.