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Steffen WinterView profile

Lecturer

• Fractal Geometry
• Geometric Measure Theory
• Stochastic Geometry
• +1 more

Steffen Winter is a Lecturer (PD Dr.) at the Institute of Stochastics, Karlsruhe Institute of Technology (KIT). His research specializes in Fractal Geometry, Geometric Measure Theory, Stochastic Geometry, and Dynamical Systems. He leads the DFG-funded project Scaling of curvature measures and the modified Weyl-Berry conjecture and serves as Principal Investigator for project 12 ( Morphometric Roughness of Nanostructured Surfaces ) within the DFG Priority Programme 2265 (Random Geometric Systems). Winter's work explores the mathematical foundations of fractals, stochastic processes, and geometric measurements. Key themes include Minkowski content, curvature measures, self-similar sets, percolation models, and applications to materials science and geoscience. Recent publications emphasize fractal dimensionality, surface roughness quantification, and stochastic convergence in complex systems. He teaches advanced courses including Stochastic Geometry , Fractal Geometry , and Markov Chains , and mentors students through seminars and proseminars. No awards or research grants besides DFG projects are documented.

Ofer ShayevitzView profile

Professor

• Information Theory
• Statistical Inference
• Data Science
• +3 more

Prof. Ofer Shayevitz is a faculty member at the School of Electrical Engineering , Tel Aviv University , holding the academic rank of Professor . He is affiliated with the Department of Systems and leads interdisciplinary research at the intersection of information theory , statistical inference , and data science . His research explores theoretical challenges in interactive communication , machine learning , and quantum information , with applications to communication complexity , graph analysis , and non-stationary environments . Notable work includes advances in high-dimensional regression , entropy estimation , and memory-constrained algorithms . The trends in his recent publications highlight information-theoretic bounds , statistical inference under constraints , and interactive protocols . His group has made significant contributions to quantum key distribution , planted graph detection , and guesswork analysis . Scientific awards include the Best Student Paper Award at ISIT 2020 . His research is supported by major grants from the Israel Science Foundation (ISF) , ERC Starting Grant , and Israel Innovation Authority . Prof. Shayevitz advises current PhD students Assaf Ben-Yishai , Uri Hadar , and Shahar Stein Ioushua , as well as M.Sc. students Inbar Pinsly and Oz Ben Hamo . Former advisees include faculty members at institutions like Kyushu University and University of British Columbia .

• Bioinformatics
• Genome Informatics
• Computational Biology
• +3 more

Dr. Kassian Kobert is a researcher at the University of Bielefeld, affiliated with the Faculty of Engineering, the Institute for Bioinformatics Infrastructure (BIBI), and the Center for Biotechnology (CeBiTec). His primary research base is within the Genome Informatics Group, where he focuses on computational approaches to genomic analysis and biological data processing. He maintains an active research presence with recent publications extending to 2022. Dr. Kobert's research interests center on bioinformatics and computational biology, with particular expertise in algorithm development for genomic data analysis. His work bridges computer science and biological applications, focusing on creating efficient computational methods for handling large-scale genomic datasets. His research spans phylogenetic inference, sequence alignment, viral evolution, and the development of specialized software tools for next-generation sequencing data processing. The interdisciplinary nature of his work connects computer science theory with practical biological applications, particularly in evolutionary biology and genomics. Analysis of Dr. Kobert's publication record reveals a consistent focus on developing computational methods for biological data analysis. His work demonstrates a trajectory from fundamental algorithm development to practical software implementation, with notable contributions including the PEAR read merger and ExaBayes phylogenetic analysis tool. His research shows strong emphasis on computational efficiency, particularly for handling the massive datasets generated by modern genomic technologies. The publications indicate expertise in both theoretical computer science aspects (algorithm design, computational complexity) and practical biological applications (viral evolution, phylogenetic analysis). Dr. Kobert appears to have significant involvement in software development for bioinformatics applications, with several publications describing tools that have become standard in genomic analysis workflows. His work on parallel computing approaches suggests engagement with high-performance computing environments necessary for modern genomic research.

• Theoretical Computer Science
• Algorithm Design and Analysis
• Approximation Algorithms
• +3 more

Michael Lampis is a Maître de conférences HDR (Assistant Professor) at LAMSADE , Universite Paris Dauphine. His research focuses on theoretical computer science , particularly in approximation algorithms , parameterized complexity , and graph algorithm design . He has held post-doctoral positions at Kyoto University and KTH, Stockholm, and earned his PhD from the Graduate Center of CUNY under Amotz Bar-Noy. Research Interests include: Structural Graph Parameters (treewidth, pathwidth, clique-width) Algorithmic Meta-Theorems Approximation Schemes Combinatorial Optimization Computational Complexity Recent Research Trends highlight his work on parameterized approximation algorithms for graph problems (e.g., feedback vertex set, matching) and complexity analysis of games/puzzles. His projects S-EX-AP-PE-AL (ANR JCJC), COAL-GAS (CNRS-PSL), and collaborations with Japanese institutions (PARAGA, GRAPA) emphasize cross-border innovation. Scientific Awards include: Best Student Paper Award at WG 2025 Best Paper Award at SOFSEM 2024 Advising involves PhD students Ioannis Katsikarelis, Louis Dublois, and Manolis Vasilakis, alongside Master's advisees like Edouard Nemery and Alban Guerbois. He actively participates in peer review for conferences (ICALP, ESA, STACS) and journals (Algorithmica, JCSS, DAM).

Rita HartelView profile

Senior Lecturer

• Data Compression
• Bioinformatics
• Graph Databases
• +4 more

Dr. Rita Hartel serves as a Senior Lecturer and Research Associate in the Department of Databases and Electronic Commerce at the University of Paderborn's Institute of Computer Science, while also fulfilling the critical role of Academic Advisor for the Computer Science Student Office where she guides undergraduate and graduate students. Her research forms two distinct yet complementary pillars: cutting-edge data compression algorithms for bioinformatics (specializing in Burrows-Wheeler Transform optimizations for DNA sequence data) and graph databases (developing grammar-based compression for knowledge graphs), alongside innovative digital humanities work applying OCR and semantic analysis to comics historiography with a focus on German traditions. This interdisciplinary approach bridges computational rigor with cultural scholarship. Dr. Hartel demonstrates consistent research productivity with five publications from 2021-2025 in premier venues including the Data Compression Conference and specialized workshops. Her work reflects strong international collaboration patterns and likely benefits from active grant funding given the technical resources required for bioinformatics compression research. As an Academic Advisor, she provides essential student support while her dual research focus creates unique opportunities for students interested in either computational methods or digital humanities applications.

Zsombor József FöldiView profile

Researcher

• Assyriology
• Mesopotamian History
• Cuneiform Studies
• +5 more

Zsombor J. Földi is an Academic Councillor at the Institute of Assyriology and Hittitology, Ludwig Maximilian University of Munich (LMU), serving as Deputy to Prof. Enrique Jiménez. His work focuses on data management for the Electronic Babylonian Library (eBL) platform, which curates over 25,000 cuneiform tablets. He holds a Post-Doc from Universität Leipzig and is an alumnus of Eötvös Loránd University (Assyriology and Hebrew). His research bridges Assyriology with digital humanities, material science, and prosopography. Key projects include Quantitative mineral analysis of Mesopotamian cylinder seals using Raman spectroscopy Fragment identification and reassembly in the eBL Fragmentarium Prosopographical studies of Old Babylonian documents from Larsa and Sippar His publications span Sumerian hymns (e.g., Enūma eliš comparisons), wisdom texts ( Counsels of Wisdom ), and glyptic studies. Recent works highlight algorithmic string alignment for cuneiform and the legal implications of seal loss in Mesopotamia. He contributes to open-source cuneiform datasets and APIs, advancing NLP applications in ancient text analysis.

Tevfik BultanView profile

Professor

• software verification
• program analysis
• software engineering
• +1 more

Tevfik Bultan is a Professor and Chair of the Department of Computer Science at the University of California, Santa Barbara. His research focuses on software verification, program analysis, software engineering, and computer security. He directs the Verification Laboratory (VLab) and has authored over 100 refereed publications. Education Ph.D. in Computer Science, University of Maryland, College Park (1998) M.S. in Computer Engineering, Bilkent University (1992) B.S. in Electrical Engineering, Middle East Technical University (1989) Research Focus Bultan's work spans automated verification techniques, security vulnerability detection, quantitative program analysis, and symbolic execution. His lab develops tools for analyzing software systems with applications in cloud security, network protocols, and embedded systems. Awards and Honors ACM Distinguished Scientist (2016) NSF CAREER Award (2000) UCSB Outstanding Graduate Mentor Award (2016) ACM SIGSOFT Distinguished Paper Awards (2005, 2014) NATO Science Fellowship (1993) Professional Activities He has chaired program committees for top conferences including ICSE, FSE, and ASE. Currently serves as associate editor for ACM TOSEM and on steering committees for ISSTA, ASE, and ICSE. Regularly advises PhD students and postdoctoral researchers in verification and security. Laboratory Leads the Verification Laboratory (VLab) focusing on automated reasoning techniques for software systems. Current projects include symbolic analysis for vulnerability detection, quantitative information flow, and security policy verification.