جست‌وجوی استاد و پژوهشگر

• Clinical Psychology
• Borderline Personality Disorder
• Emotion Regulation
• +۵ مورد دیگر

Lars Schulze is a scientific Assistant at the Department of Clinical Psychology and Psychotherapy within the Department of Education and Psychology at Free University of Berlin. His research spans multiple areas of clinical psychology with a particular focus on emotion regulation processes across various mental disorders. Dr. Schulze's research interests primarily center on clinical psychological intervention research, with special emphasis on emotion regulation and cognitive control mechanisms. His work extensively investigates borderline personality disorder, depression, and trauma-related disorders, employing both laboratory and real-world assessment methods. He has made significant contributions to understanding the temporal dynamics of affective processes using experience sampling methodology and has been active in developing and evaluating digital mental health interventions. Analysis of his recent publications reveals a strong trend toward methodological innovation in clinical psychology research, with increasing focus on ambulatory assessment techniques, digital interventions, and open science practices. His work bridges basic emotion regulation research with clinical applications, particularly examining how momentary emotional processes relate to psychopathology across disorders. Dr. Schulze is actively involved in several major research initiatives including the ProChild Project, I-REACH Project, German Center for Mental Health (DZPG), and Smart-e-Moms. His collaborative work extends across multiple institutions and research groups focused on advancing clinical psychological science through rigorous methodology and innovative intervention approaches.

• Cognitive Neuroscience
• Computational Modeling
• Predictive Coding
• +۴ مورد دیگر

Ryszard Auksztulewicz serves as Visiting Professor and Group Leader of the Prediction and Memory unit within the Department of Education and Psychology at Freie Universität Berlin. Based at Habelschwerdter Allee 45, Room JK 25/220 in Berlin, he leads research at the intersection of cognitive and systems neuroscience. His research focuses on neural mechanisms of prediction, attention, and memory , employing multimodal approaches including EEG, fMRI, MEG, ECoG, TMS, electrophysiology, and calcium imaging. He integrates these with computational modeling (Bayesian models of neural/behavioral data) and multivariate decoding techniques. Key research themes include: Predictive coding frameworks for understanding sensory processing Neural gain modulation in temporal expectation Auditory cortex representations of memory and prediction Task-dependent modulation of sensory predictions Recurrent processing in perceptual awareness Analysis of his 34 publications (h-index: 18) reveals consistent focus on computational neuroscience approaches to memory systems , with recent work emphasizing cross-species auditory processing and neural representation dynamics. His 2022-2018 publications particularly highlight mechanistic distinctions between "what" and "when" predictions in sensory cortex. Teaching responsibilities include: Probabilistic and Statistical Modeling (Lecture) Introduction to Programming (Seminar) Research Colloquium for Qualification Theses

Nuray Yozbatiranمشاهده پروفایل

دانشیار

• Neurorehabilitation
• Stroke Rehabilitation
• Spinal Cord Injury Rehabilitation
• +۷ مورد دیگر

Dr. Nuray Yozbatiran is an Associate Professor for Research in the Department of Physical Medicine and Rehabilitation at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth). She is affiliated with the Neuromodulation and Rehabilitation Laboratories at the UTHealth NeuroRecovery Research Center at TIRR Memorial Hermann, where she conducts cutting-edge research in neurorehabilitation. Dr. Yozbatiran's research focuses on developing and optimizing treatment protocols for upper-limb movement rehabilitation in individuals with stroke, spinal cord injury, and traumatic brain injury. Her work integrates various approaches including non-invasive brain stimulation techniques (transcranial direct current stimulation and transcranial magnetic stimulation), robotic exoskeletons, and exercise therapies. She also investigates the underlying neural mechanisms of recovery using advanced neuroimaging techniques such as diffusion tensor imaging and functional MRI. Her research has been supported by significant grants including a Principal Investigator role on a Mission Connect/TIRR Foundation-funded project examining combined tDCS and robotic-assisted training for spinal cord injury, and a Co-Investigator role on an NIH-National Institute of Neurological Disorders and Stroke grant focused on brain-machine interface control of therapeutic exoskeletons. Dr. Yozbatiran has published extensively in her field, with research spanning from fundamental neuroimaging of motor recovery to clinical trials of novel rehabilitation techniques. Her publication record demonstrates a consistent focus on translating basic neuroscience into practical rehabilitation applications for patients with neurological conditions. Her research methodology combines clinical assessment with advanced neurophysiological and neuroimaging techniques to understand both the behavioral outcomes and neural mechanisms underlying rehabilitation interventions. This comprehensive approach allows her to develop more targeted and effective treatment protocols for patients with neurological injuries.

Urs Maurerمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Language Processing
• Reading Acquisition
• +۴ مورد دیگر

Urs Maurer is an Associate Professor in the Department of Psychology at The Chinese University of Hong Kong. His office is located in Room 325, Sino Building. With a Ph.D. from the University of Zurich, Professor Maurer specializes in cognitive and neural aspects of language processing, with particular expertise in reading development and dyslexia. Education: Ph.D., University of Zurich Professor Maurer's research focuses on cognitive and neural aspects of spoken and written language processing, with special emphasis on reading acquisition, dyslexia, and second language learning. His work aims to use neural markers of language processing to inform screening and intervention practices for dyslexia. His methodology combines behavioral approaches with functional neuroimaging techniques, particularly EEG and fMRI, and he has pioneered work on combining EEG with eye tracking data for more comprehensive analysis of language processing. Analysis of Professor Maurer's recent publications (2021-2025) reveals a consistent focus on neural mechanisms underlying reading and language processing, with particular attention to dyslexia in Chinese-speaking populations. His work spans multiple methodologies including ERP studies, EEG-fMRI integration, and meta-analyses of reading interventions. A notable trend is his increasing focus on Chinese language processing, reflecting both the local context of his research at CUHK and the linguistic uniqueness of Chinese as a logographic writing system. Professor Maurer teaches PSYC2350 (Memory and Cognition) and PSYC5140 (Cognitive Psychology) across multiple academic years (2021-2025). His research appears to be conducted through the Cognitive Neuroscience of Language Laboratory, as indicated in the university's research infrastructure.

Bojan Bankovićمشاهده پروفایل

استادیار

• Electric Motor Drives
• Power Electronics
• Renewable Energy Integration
• +۲ مورد دیگر

Bojan Banković is an Assistant Professor at the Power Engineering Department of the Faculty of Electronic Engineering, University of Niš. His academic career focuses on electrical engineering with specialization in electric motor drives, power electronics, and renewable energy integration. His research interests include: Research and development of modern motor control algorithms in industrial drives Implementation of renewable energy sources in industrial drives and their impact on operational quality Industrial drives with energy regeneration to the grid Power quality and grid integration of renewable energy systems Banković has published extensively in the field of power electronics and electric drives, with recent publications focusing on microgrid operation, grid synchronization algorithms, multi-motor drive systems, and power quality issues. His work demonstrates a strong trend toward integrating renewable energy sources with industrial applications while maintaining power quality and system stability. Many of his publications appear in reputable journals like Energies and in proceedings of international electrical engineering conferences. His scientific contributions include: Development of novel control algorithms for electric motor drives Research on grid-connected power converters and their impact on power quality Design methodologies for industrial drive systems with energy regeneration Analysis of renewable energy integration in industrial settings Banković maintains strong industry connections, providing consulting and design services for various industrial applications including packaging lines, metal processing equipment, and pumping stations. He has contributed to technical solutions for industrial drive systems, motor control algorithms, and laboratory testing facilities. His work bridges theoretical research with practical industrial applications, making significant contributions to both academic knowledge and industrial practice. He is affiliated with the Laboratory for Electric Motor Drives and Traction, where he conducts research and supervises student projects related to his areas of expertise.

• Quantitative Linguistics
• Speech Production
• Articulatory Speech Synthesis
• +۴ مورد دیگر

Konstantin Sering is a researcher at the University of Tübingen within the Faculty of Philosophy, specifically working at the Seminar for Linguistics as part of the Quantitative Linguistics group. His academic journey bridges physics and psychology with computational linguistics, culminating in his 2023 PhD thesis on the PAULE (Predictive Articulatory speech synthesis Utilizing Lexical Embeddings) model. He maintains active collaborations with the Cognitive Modeling Group led by Martin V. Butz and the Quantitative Linguistics Group led by Harald Baayen. Sering's research interests center on the computational modeling of human speech production, with particular focus on the articulatory aspects of language. He approaches spoken language from the perspective of computer-aided modeling and simulation, extending the VocalTractLab model to produce spontaneous human speech. His work emphasizes the information-bearing nature of language over its meaning-bearing aspects, investigating how language signals contextual states and conditions. He combines artificial neural networks with predictive forward approaches to model vocal tract control parameters across multiple target spaces, including meaning and acoustic representations. Analysis of Sering's publication record reveals a consistent trajectory in articulatory speech synthesis and quantitative linguistics. His work demonstrates increasing sophistication in modeling the human speech apparatus, with recent publications focusing on improving the PAULE model through speech/non-speech classification, somatosensory feedback integration, and benchmarking methodologies. His research spans both theoretical computational linguistics and practical applications, with strong connections to cognitive science and psycholinguistics. The publications show interdisciplinary collaboration across linguistics, computer science, and cognitive psychology. Sering actively contributes to the academic community through teaching and software development. He has taught courses including Introduction to Psycholinguistics, Physics of Human Speech Production, and seminars on Predictive Articulatory Speech Synthesis. As software author and maintainer, he has developed several important tools for the field: Articubench (an articulatory speech synthesis benchmark), PAULE (his namesake speech synthesis model), create_vtl_corpus, and contributions to pyndl and other packages. His technical expertise spans Python, R, and specialized instrumentation for speech analysis. Based in room 188 at Keplerstr. 2 in Tübingen, Sering maintains an active research program with regular publications and software releases since 2013. His work environment benefits from the resources of the University of Tübingen's linguistics infrastructure and collaborative opportunities across disciplines.

• Cognitive Psychology
• Executive Control
• Task Switching
• +۳ مورد دیگر

Professor Thomas Kleinsorge serves as Head of the Flexible Behavior Control Research Group at the Institute for Work Medicine, Social Medicine and Environmental Medicine (IFADO) within the Psychology & Neuroscience division at Ruhr University Bochum. His research focuses on cognitive processes related to executive control, task switching, and cognitive ergonomics. Dr. Kleinsorge's research interests center on the cognitive mechanisms underlying human behavior control. His work explores how individuals manage multiple tasks, resolve stimulus-response conflicts, and maintain cognitive flexibility while balancing stability in performance. His research integrates cognitive psychology with practical applications in work environments and clinical settings. His recent publications demonstrate a strong focus on cognitive control mechanisms, with particular emphasis on task switching paradigms, affective distraction, and the interplay between emotional processing and executive functions. His work spans both theoretical cognitive frameworks and applied contexts such as remote work during the pandemic and clinical applications of cognitive conflict tasks. Dr. Kleinsorge has maintained an active publication record with numerous articles in reputable journals including Psychological Research, Frontiers in Psychology, Cognition, and the Quarterly Journal of Experimental Psychology.

Juliane Scheilمشاهده پروفایل

پژوهشگر

• Cognitive Psychology
• Task Switching
• Executive Functions
• +۳ مورد دیگر

Dr. Juliane Scheil serves as a Scientific Associate at the Institute for Occupational Safety and Health of the German Social Accident Insurance (IFA) within Technische Universität Dortmund, specializing in Flexible Behavior Control research. Her position falls under the Psychology & Neuroscience department, where she investigates cognitive control mechanisms and executive functions. Dr. Scheil's research primarily focuses on task switching paradigms , inhibition control , and motor imagery . Her work examines how humans manage competing tasks, with particular attention to n-2 repetition costs, task shielding effects, and the relationship between motor imagery and cognitive control processes. She employs experimental psychology methodologies to investigate executive functions and cognitive flexibility in human performance. Analysis of her publication record (2013-2024) reveals consistent contributions to understanding cognitive control mechanisms, particularly in task switching scenarios. Her research shows evolution from examining basic task switching phenomena toward investigating more complex interactions between task preparation, inhibition processes, and response selection. The work frequently appears in high-impact cognitive psychology journals including Psychologische Forschung, Acta Psychologica, and Quarterly Journal of Experimental Psychology. Dr. Scheil collaborates extensively with Prof. Thomas Kleinsorge and Dr. Boris Liefooghe, establishing herself as a significant contributor to the field of cognitive control research. Her experimental work has provided important insights into how humans manage multiple tasks and inhibit competing responses during cognitive processing.