جست‌وجوی استاد و پژوهشگر

Stefan Wirtensohnمشاهده پروفایل

پژوهشگر

• Control Engineering
• Mechatronic Modeling
• Parameter Identification
• +۴ مورد دیگر

Stefan Wirtensohn is a Researcher at the Institute of System Dynamics, Konstanz University of Applied Sciences, where he has served as a research associate since 2012. His work bridges theoretical control engineering with practical marine robotics applications, focusing on autonomous surface vehicle development and advanced control systems. His academic credentials include: Bachelor of Engineering in Mechanical Engineering, HTWG Konstanz (2010) Master of Engineering in Mechatronics, HTWG Konstanz (2012) Wirtensohn's research centers on Control Engineering, Mechatronic Modeling, and Nonlinear Control systems for marine environments. He specializes in parameter identification, motion estimation, and trajectory optimization for autonomous vessels, with significant contributions to docking control, wave filtering, and extended object tracking. His methodology integrates unscented Kalman filters, model predictive control, and sensor fusion techniques to address real-world navigation challenges. Analysis of his 15 most recent publications (2013-2022) reveals consistent focus on marine robotics control systems. Key trends include the application of random matrices for lidar-based target tracking, model predictive path integral control for vessel stabilization, and advanced disturbance estimation techniques. His work demonstrates strong emphasis on experimental validation using autonomous surface vehicles across diverse maritime scenarios. He actively contributes to teaching through Control Engineering 1 exercises and laboratory supervision, emphasizing hands-on implementation of control algorithms. Current projects under his involvement include: Integrated autonomous measuring system for maritime surveying tasks Automated parking systems for truck trailers Collision prevention procedures for inland waterway vessels Wirtensohn operates within the Institute of System Dynamics research team specializing in signal processing, control engineering, and robotics, maintaining close collaboration with Johannes Reuter and other institute members on marine automation challenges.

Dominik Stögerمشاهده پروفایل

استادیار

• Mathematical Foundations of Data Science
• Non-convex Optimization
• Machine Learning Theory
• +۴ مورد دیگر

Dominik Stöger is an Assistant Professor (tenure-track) in the Department of Mathematics at KU Eichstätt-Ingolstadt since 2021, affiliated with the Mathematical Institute for Data Science and Machine Learning (MIDS). His research bridges mathematical theory and data science applications. His educational background includes: B.Sc. in Mathematics, Technical University of Munich (2013) M.Sc. in Mathematics, Technical University of Munich (2015) Ph.D. in Mathematics, Technical University of Munich (2019) Stöger's research centers on mathematical foundations of data science, with emphasis on non-convex optimization in machine learning, theoretical analysis of overparameterized models, and low-rank matrix recovery. He combines optimization theory and high-dimensional probability to develop rigorous guarantees for modern algorithms, addressing critical challenges in deep learning theory. His recent publications (2020-2025) demonstrate consistent output in top venues including COLT, NeurIPS, and ICLR, with particular focus on implicit regularization phenomena and non-convex recovery guarantees. The 2025 pipeline shows active work extending theoretical boundaries in matrix sensing and neural network analysis. Stöger has received significant recognition: NeurIPS 2021 Spotlight Paper (top 3% of submissions) COLT 2025 paper presentation As a tenure-track faculty member, he maintains active collaborations across institutions (USC, TUM) and likely advises graduate students. His research program shows strong momentum with multiple concurrent projects advancing theoretical machine learning. He contributes to the research ecosystem through affiliation with MIDS, fostering interdisciplinary work in mathematical data science at KU Eichstätt-Ingolstadt.

Oren Gazal-Ayalمشاهده پروفایل

استاد

• Criminal Law
• Plea Bargaining
• Sentencing Guidelines
• +۵ مورد دیگر

Oren Gazal-Ayal is the Dean of the Faculty of Law at the University of Haifa, where he also serves as a Professor specializing in criminal law, sentencing, and empirical legal studies. His leadership position as Dean places him at the forefront of legal education and scholarship in Israel. Professor Gazal-Ayal's research focuses on criminal procedure, particularly plea bargaining dynamics, sentencing guidelines, and judicial decision-making processes. His work stands out for its empirical approach, combining legal theory with data analysis to examine how legal rules function in practice. Key areas of investigation include ethnic and gender biases in judicial decisions, power imbalances in alternative dispute resolution, and the economic analysis of legal institutions. His scholarly output reveals trends toward increasingly sophisticated empirical methodologies, with recent work employing randomized experiments and large-scale data analysis to address fundamental questions about justice system functioning. His publications span both Israeli law journals and top international venues, demonstrating his ability to contribute to local legal discourse while engaging with global scholarly conversations. Professor Gazal-Ayal has established himself as a significant voice in criminal justice scholarship, with his work on sentencing reform, plea bargaining, and judicial behavior providing valuable insights for both academics and policymakers. His research often reveals unexpected consequences of legal rules, highlighting the importance of evidence-based legal reform. As an active scholar and academic leader, Professor Gazal-Ayal maintains a robust research agenda while guiding the strategic direction of legal education at the University of Haifa. His collaborative approach to research, working with scholars across disciplines and institutions, reflects a commitment to interdisciplinary understanding of complex legal problems.

Hans-Peter Lenhofمشاهده پروفایل

استاد

• Bioinformatics
• Cancer Biology
• Personalized Cancer Therapy
• +۴ مورد دیگر

Prof. Dr. Hans-Peter Lenhof holds the Chair for Bioinformatics at Saarland University since 2000, where he leads research in computational biology and disease mechanism analysis. His career includes: Postdoctoral research at Max Planck Institute for Informatics (1993-1999) Research Group Leader at MPI (1999-2000) Professor at Saarland University (2000-Present) His group develops innovative bioinformatics methods with three primary focus areas: Personalized Cancer Therapy : Creating AI/ML approaches to optimize drug selection from over 200 cancer therapeutics, addressing tumor heterogeneity through predictive modeling of treatment efficacy. Diagnosis & Prognosis : Pioneering blood-based diagnostic methods using autoantibody and miRNA profiles that demonstrate high clinical sensitivity for multiple cancers and neurological disorders through collaborative studies. Pathogenic Mechanism Analysis : Employing graph-based network models to visualize and analyze deregulated biological processes, particularly signaling cascades in cancer progression. The lab maintains active collaborations with Andreas Keller's Clinical Bioinformatics group and Eckart Meese's Human Genetics team. Computational tools developed include BALLView for molecular visualization, GeneTrail for high-throughput data analysis, and specialized frameworks for therapy optimization (MERIDA) and miRNA networks (miRTargetLink).

Agnes Flöelمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Sleep Physiology
• Brain Stimulation
• +۷ مورد دیگر

Prof Dr Agnes Flöel is a Professor at the University of Greifswald Medical School, where she leads research at the intersection of cognitive neuroscience, sleep physiology, and brain stimulation. Her work focuses on understanding neural mechanisms underlying memory formation and cognitive decline in aging, with particular emphasis on sleep-related processes and non-invasive brain stimulation techniques. Her research interests center on sleep physiology , cognitive neuroscience , and neurostimulation . Dr. Flöel investigates how slow oscillations, spindles, and delta waves interact during sleep to support memory consolidation, particularly in older adults and those with cognitive impairment. Her work extends to developing interventions combining cognitive training with transcranial direct current stimulation (tDCS) to enhance cognitive function in aging and early Alzheimer's disease. She also contributes to methodological advancements in sleep staging through deep learning approaches and addresses technical challenges in neuroimaging. Dr. Flöel's publication record demonstrates consistent productivity with multiple high-impact papers annually, primarily focused on sleep neuroscience, brain stimulation, and cognitive aging. Her work shows strong collaborative patterns with researchers across Germany, particularly within the SFB 1315 research consortium. Recent publications (2022-2024) increasingly incorporate computational approaches, deep learning, and multimodal neuroimaging to address fundamental questions about neural plasticity and memory. Her research has been supported through the Collaborative Research Center 1315 (SFB 1315) funded by the German Research Foundation, focusing on neuronal circuits in aging. Dr. Flöel serves as principal investigator for multiple clinical trials examining brain stimulation approaches for cognitive enhancement in older adults and those with mild cognitive impairment. Dr. Flöel leads a research group investigating sleep-brain interactions in aging, collaborating closely with computational neuroscientists, neurologists, and psychologists. Her team utilizes multimodal approaches including EEG, MRI, and behavioral assessments to understand neural mechanisms of cognitive decline and potential interventions.

Simon Apersمشاهده پروفایل

پژوهشگر

• Quantum Algorithms
• Theoretical Computer Science
• Random Walks
• +۴ مورد دیگر

Simon Apers is a CNRS researcher at IRIF (Institut de Recherche en Informatique Fondamentale) at Université Paris Cité. He focuses on quantum algorithms with broader interests in theoretical computer science, including random walks, graph theory, and combinatorial optimization. His primary research interests span quantum computing, theoretical computer science, and algorithms. Apers has made significant contributions to quantum walks, quantum property testing, graph algorithms, and computational complexity. His work often bridges quantum information with classical theoretical computer science, exploring how quantum techniques can improve classical algorithms and solve problems more efficiently. He has developed quantum speedups for various computational tasks including sampling, optimization, and graph problems. Simon Apers serves as a program committee member for prestigious conferences including TQC'25, QIP'25, TQC'23, SODA'23, and ESA '21. He also serves as an editor for the journal Quantum. His teaching activities include courses at Sorbonne University (2022-present) on Advanced Quantum Algorithms, MPRI (2021-present) on Quantum Algorithms and Complexity, and Bad Honnef (2022). His publication record shows a strong trend toward quantum algorithms for graph problems, quantum walks, and connections between quantum computing and classical theoretical computer science. He frequently collaborates with researchers from various institutions across Europe and has published in top venues including FOCS, STACS, ESA, PRL, and JMLR. Simon Apers actively mentors students and has open positions for PhD students and postdocs in quantum algorithms at IRIF. His research group is involved in cutting-edge work at the intersection of quantum computing and theoretical computer science, with significant contributions to quantum walks, property testing, and computational complexity.

Andrea Arcuriمشاهده پروفایل

استاد

• Software Testing
• Search-Based Software Engineering
• Automated Testing
• +۲ مورد دیگر

Andrea Arcuri is a Professor of Software Engineering at Kristiania University College in Oslo, Norway, where he leads the AISE lab. Since 2020, he also holds a part-time position as Adjunct Professor at Oslo Metropolitan University. After 5 years in industry (WesternGeco and Scienta/Telenor), he returned to academia full-time in October 2016. His research primarily focuses on automated software testing and search-based software engineering. Prof. Arcuri's research interests center around Software Testing , Search-Based Software Engineering , and Automated Testing techniques. He has made significant contributions to the field through the development of testing tools like EvoMaster for system-level test generation and EvoSuite for unit test generation. His work bridges theoretical foundations with practical applications, particularly in RESTful API testing and enterprise systems. His recent publications show a strong trend toward practical applications of search-based testing in industry settings, with particular emphasis on RESTful API testing, fuzz testing, and integration with modern development practices like DevOps. The research spans both theoretical foundations of search-based testing and practical tool development. ACM SIGSOFT Impact Paper Award 2023 for EvoSuite ICST 2022 10-Year Most Influential Paper Award ICSE 2021 10-Year Most Influential Paper Award Ranked 2nd Most Active Early Stage SE Researcher in JSS'18 Multiple Best/Distinguished Paper awards at SSBSE, ASE, and ISSTA Prof. Arcuri actively supervises PhD students and post-docs, including Iva Kertusha, Susruthan Seran, and Onur Duman. He serves in leadership roles for major conferences, including as FSE 2025 Artifact Track Chair and ICST 2022 Test Tool and Demo Track Chair. His research is supported through various academic grants and industry collaborations. He leads the AISE (Artificial Intelligence and Software Engineering) lab at Kristiania University College, where his team develops and maintains the EvoMaster system test generation tool. The lab focuses on practical applications of search-based software testing in real-world enterprise settings.

Alexander Westkampمشاهده پروفایل

دانشیار

• Market Design
• Behavioral Economics
• Matching Theory
• +۲ مورد دیگر

Alexander Westkamp is an Associate Professor of Economics at the University of Cologne's Faculty of Management, Economics and Social Sciences, holding a Cluster position as Associated Investigator since 2019. His research focuses on theoretical market design with applications in behavioral economics and matching theory. His primary research interests include: Market Design & Behavior Theoretical Foundations of Economics Matching mechanisms under complex constraints His work analyzes strategic behavior in centralized matching systems, with significant contributions to understanding stability, strategy-proofness, and implementation in settings ranging from German university admissions to general trading networks. Westkamp's publication record demonstrates consistent contributions to top economics journals, with recent work emphasizing trichotomous preferences, cumulative offer mechanisms, and flexible allotment systems. His research shows strong methodological rigor in game-theoretic modeling and mechanism design. He advises doctoral students in market design and matching theory, though specific advisees are not listed in available materials. His research has been supported through his Cluster of Excellence position at the University of Cologne. Westkamp maintains active collaboration with leading researchers including John Hatfield, Scott Kominers, and Vikram Manjunath, reflecting his integration within the international market design community.

• Perinatal Epidemiology
• Fertility Research
• Assisted Reproductive Technologies
• +۳ مورد دیگر

Siri Eldevik Håberg serves as Centre Director of the Centre for Fertility and Health (CEFH), a prestigious Centre of Excellence (SFF) funded by the Norwegian Research Council and hosted by the University of Oslo's Faculty of Medicine. Her primary institutional affiliation is with the Norwegian Institute of Public Health (FHI), where she leads cutting-edge research at the intersection of epidemiology, reproductive health, and public policy. Her research expertise spans perinatal epidemiology, with a focus on fertility problems, fetal loss, and the safety of assisted reproductive technologies (ART). She specializes in integrating national registry data, cohort studies, and biological analyses to investigate genetic and epigenetic associations with pregnancy outcomes. Current projects include large-scale studies on vaccination safety during pregnancy, environmental exposures, and transgenerational health effects. Her methodological strengths include registry-based population studies and advanced genetic epidemiology. Håberg's publication record demonstrates consistent leadership in high-impact reproductive epidemiology, with recent work examining ART outcomes, epigenetic mechanisms, and pandemic-related health impacts. Her research trends show increasing emphasis on interdisciplinary collaborations, particularly through the ERC Synergy Project on fertility in young adults and the Pregnancy and Childhood Epigenetics Consortium. Centre of Excellence (SFF) grant from Norwegian Research Council Principal Investigator for ERC Synergy Project on fertility Leadership in Nordic registry collaborations for Covid-19 research As Centre Director, she oversees substantial research funding and international collaborations, including the Norwegian Mother, Father and Child Cohort Study (MoBa). Her team comprises epidemiologists, geneticists, and clinicians working across multiple Nordic institutions. Current initiatives include clinical sampling of young adults to address declining fertility rates in Norway, reflecting her commitment to translating research into public health action.