Kristian Folta-Schoofs is a Professor at the Institute of Psychology , University of Hildesheim Foundation, and Spokesperson of the Research Unit Neurobiological Fundamentals at the Lower Saxony Early Childhood Competence Center. His work bridges psychology, educational science, and cognitive/affective neuroscience through the interdisciplinary field of Neurodidactics (brain-friendly learning research). Research Focus: Fundamental and applied studies on learning mechanisms, spatial cognition, inclusive education, and neuropsychological interventions. Methodologies: EEG, eye-tracking, and field experiments to evaluate learning processes. Awards: Multiple teaching and innovation prizes from 2012–2019. Publications (2015–2021) span topics including insight learning, inclusive preschool programs (STARK/STRONG), neural correlates of comprehension, and interdisciplinary educational research. His team develops practice-oriented interventions for optimizing learning environments, particularly for early childhood education. Scientific Recognition: Teaching Award (2019, 2018) University Society Award (2016) Posterpreis DGVP/DGVM (2013) Georg-Elias-Lehrpreis (2013, 2012)
Dr. Pavel Dvurechensky is a Research Fellow at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) since 2015 and a member of Math+, the Berlin cluster of excellence. His research focuses on theoretical and applied aspects of optimization algorithms, particularly first- and second-order methods for convex and non-convex large-scale problems. 2023: Habilitation in mathematics at Humboldt University Berlin 2014-2015: Research assistant at Institute for Information Transmission Problems, Moscow 2009-2015: Junior researcher at Moscow Institute of Physics and Technology His work addresses stochastic optimization, optimal transport, distributed computing, and applications in machine learning, energy systems, and traffic modeling. He has contributed to complexity analysis of mirror descent variants, barrier methods for non-convex problems, and high-probability bounds in heavy-tailed noise scenarios. Recent publications appear in top venues like ICML, NeurIPS, and Mathematical Programming. Selected Scientific Awards: Habilitation in mathematics (2023) He has taught courses on modern optimization at Humboldt University and Higher School of Economics, covering gradient methods, mirror descent, and optimal transport. Collaborations include projects with Math+ cluster on energy system equilibria and brain signal analysis.
Dr. Joerg Polzehl is a senior researcher at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany, where he leads research in the Stochastic Algorithms and Nonparametric Statistics group. His work focuses on developing statistical methodologies for analyzing complex imaging data, particularly in the field of magnetic resonance imaging. Polzehl maintains active collaborations with neuroscientists and medical researchers to advance quantitative analysis techniques for brain imaging. Polzehl's research interests center on statistical modeling, adaptive smoothing techniques, and dimension reduction methods with primary applications in image processing and neuroscience. He has pioneered structural adaptive smoothing approaches that preserve edges and boundaries in medical images while reducing noise. His work bridges theoretical statistics with practical applications in neuroimaging, where he develops methods that account for the specific challenges of MRI data including low signal-to-noise ratios and complex spatial dependencies. Analysis of Polzehl's recent publications reveals a strong focus on advancing MRI data analysis techniques across multiple modalities including diffusion MRI, functional MRI, and quantitative MRI. His work consistently emphasizes the development of statistical methods that are both theoretically sound and practically implementable, with a particular emphasis on reproducibility and open science. The integration of nonparametric statistical approaches with domain-specific knowledge of MRI physics represents a distinctive feature of his research program. Polzehl has made significant contributions through the development of several R software packages that implement his methodological innovations, including aws (Adaptive Weights Smoothing), adimpro (Adaptive Smoothing of Digital Images), dti (dMRI Analysis), qMRI (Analysis of quantitative MRI Experiments), and fmri (Analysis of fMRI Experiments). These packages have become important tools in the neuroimaging community, enabling researchers to apply advanced statistical methods to their imaging data. As co-author of the book "Magnetic Resonance Brain Imaging: Modeling and Data Analysis using R" (2019) with Karsten Tabelow, Polzehl has created a comprehensive resource that bridges the gap between statisticians and neuroimaging researchers. The book provides practical guidance on analyzing various types of MRI data using R, with fully reproducible examples that demonstrate best practices in neuroimaging data analysis.
Barbara Colombo is a Professor and Co-Program Director of the Psychology BS program at Champlain College in the United States, where she founded and currently directs the Neuroscience laboratory. Her academic leadership spans program development and laboratory direction within the institution's psychology framework. Her research concentrates on neuropsychological factors in healthy aging, non-invasive brain stimulation for neurorehabilitation, and emotion regulation. She extensively investigates creativity mechanisms including metacognitive experiences during creative processes, imagery's role in cognition, and neural correlates of musical creativity. This work bridges cognitive neuroscience, gerontology, and psychological rehabilitation with strong interdisciplinary applications. Analysis of her 2020-2021 publications reveals three dominant research trajectories: (1) Cognitive aging studies examining psychological symptoms' impact on divergent thinking and cognitive reserve in neurodegenerative diseases; (2) Creativity neuroscience utilizing tDCS to probe mirror systems and metacognitive processes; (3) Media psychology research on how visual editing density affects time perception through oculomotor mechanisms. These streams demonstrate methodological diversity spanning laboratory experiments, clinical observations, and neurostimulation techniques. As Neuroscience laboratory director and Psychology program co-leader, Colombo mentors students in cognitive aging and creativity research while securing institutional support for neurorehabilitation initiatives. Her editorial roles include Associate Editor for Psychology for Clinical Settings at Frontiers in Psychology and Review Editor for Aging Neuroscience, indicating active contribution to scholarly infrastructure. The Neuroscience laboratory she founded serves as an interdisciplinary hub for aging and creativity research, fostering collaborations with institutions like Catholic University of the Sacred Heart in Milan. Current projects integrate eye-tracking, neurostimulation, and cognitive assessment methodologies to explore neuroplasticity in older adults.
Professor Mooly Sagiv is a Chair of Software Systems at the School of Computer Science, Tel Aviv University , focusing on static program analysis and formal verification. His work bridges automated theorem proving with abstract interpretation to develop practical techniques for verifying software systems. Key Research Areas : Static analysis, formal verification, abstract interpretation, and automated reasoning about distributed systems and smart contracts. Notable Contributions : Development of the IVY tool for distributed protocol verification and frameworks for dynamic information flow control in cloud applications. Scientific Recognition : Fellow of the ACM Best Paper Award at PLDI'12 Recent Publications focus on binarized neural networks, stateful network verification, and liveness properties in infinite-state systems using decidable logic fragments.
Jiaqi Liu is an Associate Professor in the Department of Computer Science and Engineering at Southern University of Science and Technology in Shenzhen, China. His research spans multiple domains within artificial intelligence, with a particular focus on autonomous systems, multimodal learning, and computer vision. He maintains active collaborations with researchers across China and internationally, particularly with Jian Sun and Peng Hang on autonomous driving projects. Dr. Liu's research interests encompass a broad spectrum of AI and computer science topics. His work in autonomous driving involves developing sophisticated decision-making frameworks for cooperative vehicle systems. In multimodal learning, he has pioneered approaches for handling missing modalities and creating adaptive fusion networks. His signal processing research includes innovative methods for sleep staging and EEG analysis using dynamic mode decomposition techniques. Additional research areas include photonic computing accelerators, graph neural networks, and quantum neural networks. The publication trend shows significant growth in output quality and quantity, with numerous papers in top-tier venues including IEEE Transactions, CVPR, AAAI, and IJCAI. His work demonstrates a strong interdisciplinary approach, bridging computer science with applications in healthcare, robotics, and telecommunications. Recent publications indicate increasing focus on the integration of large language models with reinforcement learning for autonomous systems. Dr. Liu has received recognition through publications in high-impact journals and conferences including: IEEE Transactions on Intelligent Transportation Systems IEEE Robotics and Automation Letters Expert Systems with Applications CVPR (Computer Vision and Pattern Recognition) AAAI Conference on Artificial Intelligence His research program involves collaborations across multiple domains, with current projects focusing on language-guided autonomous driving, multimodal sentiment analysis, and advanced signal processing techniques. He leads research efforts in developing novel deep learning architectures for complex real-world problems, particularly in the domains of autonomous systems and healthcare applications.
Professor Konstantinos Anastassiadis serves as the Chair for Stem Cell Engineering at the Biotechnology Center (BIOTEC), which is part of the Center for Molecular and Cellular Bioengineering (CMCB) at Dresden University of Technology. He has held this professorship since 2016, following his appointment as Research Group Leader for Stem Cell Engineering at BIOTEC from 2004-2016 and Junior Group Leader at the Center for Regenerative Therapies Dresden (CRTD) from 2006-2011. Dr. Anastassiadis earned his Dr. sc. agr. from TU Berlin in 1993, followed by postdoctoral work at TU Munich (1993-1995), EMBL Heidelberg (1996-2001), and BIOTEC, TU Dresden (2002-2003). His academic journey reflects a strong foundation in molecular biology and genetics that has shaped his current research focus. The research interests of Prof. Anastassiadis center on unraveling the molecular pathways that regulate self-renewal and lineage commitment of stem cells, with particular focus on the molecular mechanisms involved in cellular reprogramming. His lab works with various stem cell types including mouse and human embryonic stem cells (mES, hES), neural stem cells (NSCs), mesenchymal stromal cells (MSCs), and induced pluripotent stem cells (iPS). A significant portion of his work involves developing and applying genetic engineering tools to address fundamental questions in stem cell biology. His research has particularly concentrated on the role of histone 3 lysine 27 demethylases UTX (KDM6A) and UTY (KDM6C) in embryonic development and hematopoiesis. Analysis of Prof. Anastassiadis's recent publications reveals a strong focus on stem cell regulation, epigenetic mechanisms, and genetic engineering applications. His work spans multiple model systems including mouse models, human stem cells, and other organisms. A recurring theme is the investigation of chromatin modifiers (particularly histone methylation complexes like MLL/SET proteins) and their roles in development, disease, and stem cell maintenance. His lab has made significant contributions to developing genetic engineering tools including codon-optimized recombinases (Flp, Dre, Vika), transposon-mediated BAC transgenesis, and CRISPR-associated protocols. Prof. Anastassiadis is actively involved in teaching for the international Master's programs in Molecular Bioengineering and Regenerative Biology and Medicine (RegBioMed) at CMCB. He teaches courses including Stem Cell Engineering (every winter semester) and Stem Cells, Development and Regeneration, as well as supervising the Genome and Stem Cell Engineering lab course. The Anastassiadis Group operates within the Biotechnology Center at TU Dresden, where they maintain facilities for stem cell culture, genetic engineering, and molecular analysis. Their research integrates approaches from molecular biology, genetics, epigenetics, and bioengineering to address fundamental questions about stem cell behavior and to develop new tools for stem cell research and potential therapeutic applications.
Jan Marek Ache serves as an Emmy Noether Group Leader at the Chair of Neurobiology and Genetics within the Biocenter of the University of Würzburg. His research program focuses on unraveling the neuronal mechanisms that enable flexible and adaptive behavior in animals, using Drosophila as a model system. Ache's research interests center on understanding how animals respond flexibly and context-dependently to sensory stimuli. His work combines cutting-edge methodologies including optogenetics , in vivo electrophysiology , and calcium imaging with detailed anatomical reconstruction of neuronal circuits. His lab investigates two complementary research lines: (1) sensorimotor circuits controlling innate behaviors such as walking, flying, and feeding, and (2) modulatory circuits that allow anatomically constrained circuits to process information in flexible, state-dependent ways, with a current focus on the insulin system. Emmy Noether Fellowship (prestigious DFG-funded research position for early-career scientists) As an Emmy Noether Group Leader, Ache directs an independent research team investigating how internal states shape behavior and vice versa. His laboratory employs a comprehensive suite of techniques including in-vivo patch-clamp recordings, calcium imaging in behaving flies, optogenetics, automated behavioral analyses, and connectomics to address fundamental questions about behavioral flexibility. His research has significant implications for understanding the neural basis of decision-making and state-dependent processing across species. Ache's research group operates within the Biocenter infrastructure at the University of Würzburg, utilizing advanced neurobiological and genetic tools to study Drosophila neural circuits. The lab maintains a strong focus on both experimental and computational approaches to neuroscience, as evidenced by publications spanning electrophysiology, behavioral analysis, and computational modeling of neural systems.
Prof. Dr. Babette Renneberg is a distinguished Professor of Clinical Psychology and Psychotherapy at the Department of Education and Psychology, Freie Universität Berlin. She currently serves as Dean of the Department of Education and Psychology and previously held the position of President of the European Society for the Study of Personality Disorders (ESSPD) from 2020 to 2022. Her academic leadership extends to directing the university outpatient clinic for psychotherapy, diagnostics, and health promotion since 2009 and leading the training program for child and adolescent psychotherapy since 2012. Prof. Renneberg earned her Diplom (Dipl.-Psych.) at Philipps-Universität Marburg in 1986, followed by her doctoral degree (Dr. rer. nat.) from the same institution in 1991. She achieved her Habilitation with Venia Legendi in Psychology from Universität Heidelberg in 2002, establishing her academic credentials for professorial positions. Her career includes significant appointments at Goethe-Universität Frankfurt and extensive research experience at Heidelberg University. Her research focuses on cognitive behavioral therapy for anxiety and personality disorders, particularly borderline personality disorder. She investigates psychosocial factors in physical illnesses and conducts foundational and therapeutic research on personality disorders. Her work emphasizes clinical-psychological intervention research (process and outcome), social cognition and interaction, emotional regulation and cognitive control, and prevention, health promotion, and resources. She has developed specialized training programs for mothers with borderline personality disorder and conducts extensive research in the university outpatient clinic. Prof. Renneberg's recent publications demonstrate a strong focus on digital mental health interventions, particularly smartphone-based applications for postpartum depression (Smart-e-Moms project). She continues extensive research on personality disorders, especially borderline personality disorder, with emphasis on parenting challenges and mentalizing capacities. Her work increasingly incorporates transdiagnostic approaches to emotional disorders and explores therapeutic alliance across different treatment modalities. She also contributes significantly to the implementation of ICD-11 diagnostic criteria for personality disorders and leads large-scale naturalistic studies on cognitive behavioral therapy effectiveness. 2018: Preis der DGVT im Bereich der Persönlichkeitsstörungen 2012: Hamburger Preis für Persönlichkeitsstörungen 2007: Vortagspreis auf dem Kongress der Deutschen Gesellschaft für Verhaltensmedizin und Verhaltensmodifikation (DGVM) 2007: Vortragspreis der Tagung der Deutschsprachigen Arbeitsgemeinschaft für Verbrennungsmedizin (DAV) 2000: 'Little Albert' Preis für besonderes Engagement in der Lehre 1992: Heinz-Heckhausen-Jungwissenschaftler Preis der Deutschen Gesellschaft für Psychologie As head of the training program for child and adolescent psychotherapy at ZGFU since 2012 and leader of the university outpatient clinic for psychotherapy, diagnostics, and health promotion since 2009, Prof. Renneberg has supervised numerous students and early-career professionals. She currently leads multiple third-party funded projects including the G-BA-funded 'Smart-e-Moms' smartphone intervention for postpartum depression, the BMBF project 'ProChild' evaluating a parenting skills training for mothers with borderline personality disorder, the I-REACH project on transdiagnostic psychotherapy for Arabic-speaking refugees, and the DFG-funded PANDA project on social anxiety disorder treatment and neural activity changes. Prof. Renneberg leads the Clinical Psychology and Psychotherapy department at Freie Universität Berlin, which includes a team of researchers and clinicians focused on personality disorders, anxiety disorders, and digital mental health interventions. Her team operates the university outpatient clinic where they conduct research on depression and social anxiety disorders. She also coordinates the I-REACH consortium for refugee mental health care and collaborates with multiple international research groups on personality disorder research through her past presidency of ESSPD.
Dr. Philipp Terhörst is a Research Group Leader at Paderborn University, specializing in Responsible AI for Biometrics . His work focuses on fairness, privacy, explainability, and uncertainty in machine learning systems for biometric applications. Education: Ph.D. in Computer Science (2021) from Technical University of Darmstadt Previous Affiliations: Fraunhofer IGD (2017–2022), ERCIM Fellowship at Norwegian University of Science and Technology His research addresses critical ethical challenges in biometric AI, including demographic bias mitigation , privacy-enhancing technologies , and confidence-aware verification systems . Recent publications explore explainability frameworks, backdoor attacks, and fairness in deepfake detection. Scientific contributions have earned awards from the European Association for Biometrics and International Joint Conference for Biometrics . He actively participates in academic service as a reviewer for TPAMI, CVPR, and IEEE journals. Teaching: Offers courses in Human-Centered Machine Learning Collaborations: Member of Transregional Collaborative Research Centre 318 Management Programs: Alumnus of the BMBF-funded 'Software Campus' initiative
Dr. Madjid Tavana is a Professor and Distinguished Chair of Business Systems and Analytics at La Salle University's School of Business. He additionally holds an Honorary Professorship in Management Information Systems and Operations Research at the University of Paderborn in Germany and serves on the Scientific Committee of the Doctoral Program in Business and Economics at Sapienza University of Rome in Italy. His educational background includes an MBA, PMIS, and PhD in Management Information Systems, plus a Post-Doctoral Diploma in Strategic Information Systems from the Wharton School at the University of Pennsylvania. He has held Visiting Professorships in France, Italy, Switzerland, Korea, China, Ukraine, and Mexico, and was a Visiting Scholar at UCLA Anderson Graduate School of Management. Dr. Tavana's research spans Decision Sciences, Business Analytics, Information Sciences, and Supply Chain Analytics, with particular expertise in Multi-criteria Decision Making and Fuzzy Logic applications. His recent work focuses on cryptocurrency price prediction, industry 4.0 resource allocation, metaverse technologies, medical supply chain analytics, and advanced ranking methodologies. His publications from 2024 demonstrate strong interdisciplinary work connecting artificial intelligence techniques with practical business applications across multiple domains including finance, manufacturing, healthcare, and virtual environments. Space Act Award by NASA Dr. Tavana has published over 370 research papers and 22 edited books. He serves as Editor-in-Chief for multiple journals including Decision Analytics Journal (Elsevier), Healthcare Analytics (Elsevier), and Supply Chain Analytics (Elsevier). He is also a Distinguished Research Fellow at NASA facilities including Kennedy Space Center, Johnson Space Center, Naval Research Laboratory, and Air Force Research Laboratory. His teaching philosophy emphasizes interactive classroom experiences that blend theory and practice while challenging students to take active roles in their education.
Thomas Schanze serves as Professor at Central Hesse University of Applied Sciences within the Faculty of Life Science Engineering, holding multiple leadership roles including Dean of the Faculty, Head of the Institute of Biomedical Engineering, and Senate Member. His office is located at Ringallee 37, D14.2.05. His research spans Biomedical Engineering , with specialization in Biosignals, Neuroprosthetics, and Computational Physics . Key focus areas include neural signal processing, machine learning applications in medical diagnostics, and control systems for biomedical devices. His work bridges theoretical physics with clinical applications, particularly in ECG analysis and neuroprosthetic development. Recent publications demonstrate consistent contributions to biomedical signal processing, with emphasis on noise reduction techniques (2017), ECG classification methods (2017), and advanced particle tracking algorithms (2016-2017). His research shows strong interdisciplinary connections between physics, engineering, and clinical medicine. Schanze actively promotes young talent through student competitions, mentoring award-winning participants in DGBMT contests (2014-2020). He serves on doctoral committees including the Doctoral Center for Engineering Sciences at Research Campus Central Hesse. Administratively, he organizes major conferences including AUTOMED (2013-2018) and BMT Annual Conferences (2012-2018), and previously led the Master's program in Biomedical Engineering until March 2024.
Prof. Dr. Markus Degünther is a Professor at Technische Hochschule Mittelhessen (THM), affiliated with the Department of Measurement, Navigation, and Detection (MND). He serves as Head of the Optics Center Wetzlar and is the Spokesperson for the LOTuS Competence Center. His work focuses on applied and commercializable optics, optical systems and technologies, optical design, and optical measurement technology. Prof. Degünther's research spans multiple domains with a strong emphasis on practical applications. His recent work shows a clear progression toward integrating additive manufacturing with optical systems, developing precision mounting structures that maintain alignment under thermal variations. He has also made significant contributions to computer vision through his work on facial landmark detection using hybrid CNN-MRF models. This interdisciplinary approach demonstrates his ability to bridge theoretical optics with practical engineering solutions across diverse fields. His publication history reveals an evolution from fundamental atmospheric optics research in the late 1990s and early 2000s to more applied optical engineering in recent years. The current focus on additive manufacturing for optical applications represents the cutting edge of his research program, with numerous patents demonstrating strong commercial potential. Prof. Degünther has an extensive patent portfolio with dozens of granted patents in optical technologies, often developed in collaboration with researchers from institutions like Carl Zeiss. His patent work demonstrates a consistent focus on commercial applications of optical research throughout his career. As Head of the Optics Center Wetzlar, Prof. Degünther leads a team focused on advancing optical technologies and their practical implementation. The center serves as a hub for collaboration between academia and industry, facilitating the transfer of research成果 into commercial products. His role as Spokesperson for the LOTuS Competence Center further demonstrates his leadership position in the German optics research community.
Anna Rysop is a Doctoral Researcher at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, conducting her PhD work in cooperation with University Medicine Greifswald. Her research bridges cognitive neuroscience and clinical linguistics with a focus on neurorehabilitation for language disorders, utilizing advanced neurostimulation techniques to develop innovative therapeutic interventions. Her academic credentials include: M.Sc. in Cognitive and Integrative Systems Neuroscience, Philipps University of Marburg (2014-2018) M.A. in Clinical Linguistics, Philipps University of Marburg (2013-2017) B.A. in Language and Communication, Philipps University of Marburg (2010-2013) Rysop's research program investigates neural mechanisms of speech comprehension across the lifespan, with particular emphasis on aging effects and neurological conditions like stroke-induced aphasia and primary progressive aphasia. She pioneers home-based telerehabilitation protocols combining transcranial direct current stimulation (tDCS) with speech therapy, exploring neural network dynamics through multimodal approaches including TMS-EEG. Her work demonstrates how non-invasive brain stimulation can enhance language recovery in challenging listening conditions and neurodegenerative contexts. Analysis of her 2021-2025 publications reveals a clear evolution from foundational neural mechanism studies to clinical translation, with 2024-2025 work dominating in home-based tDCS applications and international consensus-building for primary progressive aphasia outcomes. Her research consistently integrates patient-centered design, as seen in participatory intervention development and cross-cultural core outcome sets. No scientific awards or fellowships were documented in available sources. As a doctoral researcher, Rysop currently has no formal advisees but contributes to training through workshops like her 2019 TMS session. Her work is fundamentally supported by the International Max Planck Research School NeuroCom framework, which facilitates interdisciplinary collaboration between cognitive scientists and clinicians. She operates within the Research Group Cognition and Plasticity at the Max Planck Institute, utilizing advanced neuroimaging and brain stimulation laboratories. Her current projects focus on telerehabilitation scalability, neural biomarker identification for treatment response, and developing standardized protocols for global clinical implementation in aphasia rehabilitation.
Pablo Lara-Gonzalez is an Assistant Professor in the Department of Developmental and Cell Biology at the University of California, Irvine, within the Dunlop School of Biological Sciences. His research program investigates molecular mechanisms regulating cell cycle decisions in development, with emphasis on quiescence and mitotic fidelity using C. elegans as a model organism. He earned a Bachelor's degree in Biochemistry from Universidad de Concepcion (Chile), followed by a PhD at the University of Manchester (UK) under Dr. Stephen Taylor, and completed postdoctoral training at the Ludwig Institute for Cancer Research in San Diego with Arshad Desai. Dr. Lara-Gonzalez's research addresses two core questions: (1) How developmental cues regulate entry/exit from G2 quiescence—a critical but understudied cell cycle pause state—and (2) How mitotic timing is controlled to balance chromosome segregation accuracy with developmental viability. His lab employs cell biology, genomic editing, live imaging, and proteomics to dissect these mechanisms, revealing implications for developmental disorders and cancer where cell cycle control fails. Analysis of his recent publications shows consistent focus on spindle assembly checkpoint dynamics, kinetochore-microtubule interactions, and APC/C regulation in embryonic cell cycles. The work predominantly leverages C. elegans to uncover evolutionarily conserved principles of cell division, with increasing exploration of neural development contexts in newer studies. As Principal Investigator of the Lara-Gonzalez lab, he leads a research team while contributing to academic service including the Journal of Cell Biology Editorial Committee. He actively participates in UCI outreach initiatives such as ReachOut TeachOut and Hispanic Heritage Month events, and enjoys traveling, hiking, and classical cinema outside research.
