جستجوی استاد راهنمای دانشگاهی

• Process Automation Systems
• Control Engineering
• Numerical Optimization
• +۷ مورد دیگر

Sergio Lucia is a Full Professor (W3) for Process Automation Systems at Technische Universität Dortmund within the Department of Biochemical and Chemical Engineering since 2023. He previously served as a W2/W3 Professor (2020-2023) and W1 Assistant Professor at TU Berlin (2017-2020). His research focuses on the intersection of control engineering, numerical optimization, and machine learning, with applications in chemical processes, biotechnology, and energy systems. He leads the Laboratory of Process Automation Systems (Building G2, North Campus) and has held prestigious roles including Vice Chair of IFAC Technical Committee on Optimal Control since 2020. Education: Dr.-Ing. (summa cum laude) in "Robust multi-stage nonlinear model predictive control" (2014) Postdoctoral: Massachusetts Institute of Technology (2016), Otto-von-Guericke University Magdeburg (2015-2017) Alumni: Research Assistant at TU Dortmund (2010-2014), Diploma in Electrical Engineering (2010) His research explores novel methods to bridge theory and applications in control engineering, particularly through model predictive control (MPC) innovations. Recent work emphasizes robustness under uncertainty , Bayesian optimization , deep learning integration , and privacy-preserving federated learning for industrial applications. His 2025 publications address challenges in chemical recycling networks, crystallization processes, and serverless computing triggers. Scientific recognition includes: Teaching award (2023) Best student paper awards (2022, 2021) VAA Dissertation Award (2015) Erasmus Scholarship (2010) M.Sc. Extraordinary Career Award (2011) As a dedicated educator, he refines courses to enhance learning outcomes and mentors PhD students Sarah Braun and Benjamin Karg. His laboratory at TU Dortmund's North Campus is strategically located near the H-Bahn monorail system for accessibility.

• Automated Theorem Proving
• Machine Learning
• Formal Verification
• +۶ مورد دیگر

Konstantin Korovin is a Reader at the Department of Computer Science, The University of Manchester. He has held various academic roles including Senior Lecturer (2015-2023), Royal Society University Research Fellow (2007-2015), and Research Associate (2004-2007). Current research focuses on automated theorem proving , machine learning integration , and verification of hardware/software . His work includes developing systems like iProver , iProver-ML , and SMLP , which combine formal methods with ML techniques. Key contributions span non-linear constraint solving , quantified Boolean logic , and DNA computing . He has won over 20 international awards, including SMT-COMP and CASC categories. Scientific Awards : Ackermann Award, Best Thesis Prize, Best Paper at FroCoS'19, CASC and SMT-COMP prizes. He supervises PhD and postdoc researchers, with alumni working at Intel, Google, and MathWorks. His tools are applied in industry, notably by Intel for hardware optimization.

• Business Administration
• Industrial Management
• Operations Research
• +۷ مورد دیگر

Prof. Dr. rer. pol. habil. Udo Buscher is a full Professor and Chair of Business Administration, especially Industrial Management, at the Department of Economics, Faculty of Business and Economics, TU Dresden, Germany. He has held this active professorial chair since at least 2003 and is recognized for his extensive research in operations research, production management, logistics, and supply chain optimization. His research interests span Business Administration , Industrial Management , Operations Research , and Logistics , with particular emphasis on: Batch-sizing and lot-sizing models in multi-stage production systems Integrated production and reprocessing/remanufacturing processes Supply chain coordination and cost-oriented logistics management Transfer pricing from organizational and agency-theoretic perspectives Optimization under uncertainty using fuzzy set approaches Across more than two decades, Prof. Buscher has published prolifically in leading journals such as Computers & Operations Research , Journal of the Operational Research Society , OMEGA , and Journal of Business Administration . His work consistently addresses practical decision problems in production and logistics, blending rigorous quantitative models with managerial insights. His monographs include the 2003 habilitation thesis Cost-Oriented Logistics Management in Metalogistics Systems and the 1997 dissertation Transfer Pricing from an Organizational and Agency Theory Perspective , both published by leading German academic presses. These works underpin his reputation in cost-oriented production and logistics research. Prof. Buscher is accessible via email at udo.buscher@tu-dresden.de and is located at Münchner Platz 2–3, 01069 Dresden, Germany. No specific student advisees are listed in the provided sources.

• Combinatorial Optimization
• Quadratic Programming
• Binary Optimization
• +۵ مورد دیگر

Cédric Elloumi is a Professor at the CEDRIC Laboratory within Conservatoire National des Arts et Métiers (CNAM), specializing in combinatorial optimization and mathematical programming. With a continuous publication record since 1992, he has established himself as a leading researcher in quadratic programming, binary optimization, and facility location problems. His research interests focus on developing exact and approximate methods for discrete optimization problems, particularly through convex reformulation techniques. Elloumi has made significant contributions to the p-center and p-median problems, quadratic assignment problems, and more recently, quantum-inspired optimization methods. His work bridges theoretical advancements with practical applications in network design, energy systems, and telecommunications. Analysis of his recent publications (2022-2025) reveals a continued focus on facility location problems, with increasing attention to robust optimization under uncertainty and emerging applications in quantum computing. His research demonstrates consistent methodological innovation, particularly in reformulation techniques that transform difficult non-convex problems into tractable forms. Throughout his career, Elloumi has maintained extensive collaborations with researchers including Billionnet, Lambert, Alès, and Plateau, resulting in numerous publications in top-tier optimization journals such as Journal of Global Optimization, Computers and Operations Research, and Mathematical Programming.

• Control Engineering
• Numerical Optimization
• Machine Learning
• +۶ مورد دیگر

Sergio Lucia is a Full Professor (W3) for Process Automation Systems at the Department of Biochemical and Chemical Engineering, TU Dortmund University. His research integrates control engineering, numerical optimization, and machine learning to address challenges in chemical processes, biotechnology, and energy systems. Education: Dr.-Ing. (summa cum laude) from TU Dortmund University (2014); Diploma in Electrical Engineering from University of Zaragoza (2010) Professional Journey: Full Professor (2023–present), Professor (W2) at TU Dortmund University (2020–2023), Assistant Professor at TU Berlin (2017–2020), Postdoctoral Fellow at MIT (2016) His recent work focuses on combining machine learning with model predictive control (MPC) for robust applications in chemical recycling, bioreactors, and energy networks. Key trends include AI-driven optimization, uncertainty quantification, and real-time control for complex systems. Scientific Awards Teaching award, TU Dortmund (2023) Best student paper award (PhD student Sarah Braun) (2022) Best paper by young author award (PhD student Benjamin Karg) (2021) VAA Dissertation Award for outstanding work in process engineering (2015) Erasmus Scholarship (2010) He has advised PhD students in chemical and biotechnological process optimization and led the Laboratory of Process Automation Systems at TU Dortmund's North Campus. His service includes Vice Chair of IFAC Technical Committee on Optimal Control (2020–present) and editorial roles in leading journals.

Zafeirakis Zafeirakopoulosمشاهده پروفایل

پژوهشگر

• Symbolic Computation
• Discrete Mathematics
• Combinatorics
• +۴ مورد دیگر

Zafeirakis Zafeirakopoulos is a researcher at the National and Kapodistrian University of Athens (Greece) in the ELIDEK project led by Prof. Maria Chlouveraki. His academic career includes roles as an assistant professor at Gebze Technical University (2016-2022) and postdoctoral research at University of Athens (Greece), Galatasaray University (Turkey), and University of Geneva (Switzerland) under the Eccellenza project of Prof. Jehanne Dousse. PhD in RISC - Research Institute for Symbolic Computation (supervised by Prof. Peter Paule and Prof. Matthias Beck) Current affiliations: Mathematics department of National and Kapodistrian University of Athens Service roles: Information Director of ACM SIGSAM, Associate Editor of ACM CCA His research focuses on symbolic computation, discrete mathematics, and computational geometry. He has developed algorithms for parametric curve topology (PTOPO) and linear Diophantine systems (Polyhedral Omega), emphasizing efficiency and geometric interpretations. Recent work involves Julia/Maple implementations for practical applications. Publication trends highlight interdisciplinary work in symbolic algorithms, polyhedral geometry, and combinatorial optimization. He actively contributes to international conferences like ACA 2025 (co-organizer) and SCALE 2022.

Tomer Markovichمشاهده پروفایل

پژوهشگر

• Soft Active Matter
• Condensed Matter Physics
• Thermodynamics
• +۵ مورد دیگر

Dr. Tomer Markovich is a Senior Academic Staff member at the School of Mechanical Engineering , part of the Fleischman Faculty of Engineering at Tel Aviv University . His research focuses on the physics of soft active matter, particularly the development of thermodynamic frameworks for non-equilibrium systems and the study of chiral active materials with unique properties such as odd viscosity. He also explores biological contexts like active gels and active polar liquid crystals. Education B.Sc. in Physics and Computer Science (Magna Cum Laude), Tel Aviv University, 2010 Ph.D. in Condensed Matter Physics, Tel Aviv University, 2016 Dr. Markovich's research spans the study of active field theories , mechanical criticality in disordered systems , and non-linear dynamics in biopolymer networks . His work also addresses chiral active fluids , entropy production , and nonreciprocal interactions , with applications in synthetic and biological active materials. Recent Publications Trends: His recent works focus on non-equilibrium thermodynamics, chiral active matter, and the mechanical properties of disordered and biopolymer networks. Topics include odd elasticity , minimal dissipation control , temporal correlations in chromosome dynamics , and nonaffine deformation mechanisms . Scientific Awards CTBP Postdoctoral Fellowship, Rice University (2018–2022) Blavatnik Postdoctoral Fellowships Program for Israeli Scientists (2016–2018) Dothan Scholarship for Academic Achievements (2016) Getti Scholarship for Excellence in Research (2014) Haya Rozet Scholarship for Academic Excellence (2013) Academic Appointments include postdoctoral research at the University of Cambridge (2016–2018) and Rice University (2018–2022). His current role involves theoretical research in soft active matter, with a focus on thermodynamic frameworks and chiral properties, contributing to both fundamental and applied aspects of mechanical engineering and condensed matter physics.

Yossi Bukchinمشاهده پروفایل

استاد

• Assembly systems design
• Assembly line balancing
• Facility design
• +۵ مورد دیگر

Prof. Yossi Bukchin is a Professor in the Department of Industrial Engineering at The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. His research focuses on manufacturing systems, production engineering, and operations research with particular expertise in assembly line design and optimization. His primary research interests include: Assembly systems design Assembly line balancing Facility design Operational scheduling Human factors engineering Warehouse and storage systems Prof. Bukchin's recent work demonstrates a strong focus on puzzle-based storage systems, assembly line optimization, and operations management. His research spans both theoretical developments in scheduling algorithms and practical applications in manufacturing and logistics systems. He has made significant contributions to the understanding of Bucket Brigade systems, puzzle-based storage optimization, and assembly line balancing with mixed-model production. His scholarly output shows evolution from early work on robotic assembly lines to contemporary research on machine learning applications in warehouse systems and advanced optimization techniques for modern manufacturing challenges. Contact information: Email: bukchin@tau.ac.il Phone: 03-6407941 Fax: 03-6407669 Office: Wolfson - Engineering

Rubi Debnathمشاهده پروفایل

پژوهشگر

• Time-Sensitive Networking
• Machine Learning
• Optimization
• +۳ مورد دیگر

Rubi Debnath is a researcher at the Technische Universität München (TUM) affiliated with the Department of Embedded Systems and Internet of Things . They focus on Time-Sensitive Networking (TSN) , Machine Learning for TSN , and Optimization of TSN Scheduling Algorithms using heuristics, ILP, and DRL. Specializes in TSN Scheduling , Runtime Reconfiguration , and Wireless-TSN Actively teaches IoT Security , Software Architecture for Distributed Embedded Systems , and System Design for IoT since Winter Semester 2018/2019 Supervised over 15 Master's and Bachelor's theses on TSN, ML, and 5G-TSN integration Developed simulation frameworks like CyclicSim and 5GTQ Research Trends : Recent publications address TSN scheduling optimization , ML-assisted traffic classification , and 5G-TSN integration , with a focus on low-latency communication and industrial automation . Scientific Awards : IEEE ComSoc Four Minute PhD Thesis Competition - Third Prize Winner (Round 2), Round 1 Winner Global Fellows Program - Imperial College London, TUM, and NTU Singapore Advising and Grants : Supervised 15+ theses on TSN, ML, and 5G-TSN. Involved in the 6G Research Hub "6G-Life" and nIoVe cybersecurity framework for IoT.

• Evolutionary Ecology
• Marine Biology
• Conservation Ecology
• +۴ مورد دیگر

Nils Anthes is a Tenured Lecturer at the Institute of Evolution and Ecology, Department of Biology, within the Faculty of Mathematics and Natural Sciences at the University of Tuebingen, Germany. His academic career spans over two decades, with research focusing on evolutionary ecology and animal behavior across diverse taxonomic groups. Dr. Anthes completed his Diploma in Landscape Ecology at the University of Münster in 2002 with research on butterfly ecology, followed by his dissertation in 2006 on mating conflicts in hermaphroditic sea slugs through a joint program between Münster and Tuebingen universities. Since 2006, he has been a continuous member of the Animal Evolutionary Ecology group at the University of Tuebingen. His research portfolio includes three major thematic areas: Marine visual ecology investigating fluorescence patterns in fish; Applied Conservation Ecology focusing on farmland birds and endangered butterflies; and Sexual selection in hermaphrodites examining mating systems in marine invertebrates. His work on animal personality and filial cannibalism in fish with paternal care represents another significant research stream. Current projects include marine visual ecology (fluorescence in fish) and applied conservation ecology, while previous work focused on traumatic mating mechanisms and polyandry dynamics. Analysis of his publication record reveals a clear evolution in research focus. Early work (2005-2015) centered on marine invertebrates and sexual selection mechanisms, while more recent publications (2018-2025) demonstrate a shift toward conservation biology, particularly bird population dynamics, statistical ecology, and habitat management. This trajectory reflects both changing ecological priorities and methodological advancements in ecological research. Dr. Anthes maintains active collaborations with numerous researchers including Nico Michiels, Pierre-Paul Bitton, Ulrike Harant, Matteo Santon, and others across multiple projects. His work appears across diverse platforms as evidenced by his profiles on Google Scholar, ResearchGate, ResearcherID, OrcID, and Publons. His laboratory work spans both field and experimental approaches, with research conducted in marine environments, forest ecosystems, and agricultural landscapes. The evolution of his research interests demonstrates adaptability to emerging ecological challenges while maintaining core expertise in evolutionary processes.

• Regularity theory for elliptic and parabolic PDEs
• Maximal parabolic regularity
• Divergence form operators with mixed boundary conditions
• +۷ مورد دیگر

Robert Haller is a Professor in the Faculty of Mathematics at Darmstadt University of Technology, where he specializes in analysis with a focus on partial differential equations and operator theory. His teaching portfolio includes core courses such as Analysis I and Mathematics for Civil Engineering, with upcoming courses scheduled for Winter semester 2025/26. Professor Haller's academic journey includes a PhD thesis titled "Methoden der Banachraum-wertigen Analysis und Anwendungen auf parabolische Probleme" (2004) and a Habilitation "Lp-Regularity Theory for Linear Elliptic and Parabolic Equations" (2008), both completed at TU Darmstadt. His educational background demonstrates deep expertise in mathematical analysis and its applications to parabolic problems. His research program centers on regularity theory for elliptic and parabolic partial differential equations, with particular emphasis on maximal parabolic regularity, divergence form operators with mixed boundary conditions, and non-smooth coefficients and domains. He has made significant contributions to the Kato square root problem and related areas in harmonic analysis and operator theory. His work bridges theoretical mathematics with practical applications in physics and engineering, particularly in areas like sea ice modeling and wave propagation. Analysis of his recent publications reveals a consistent research trajectory focused on boundary value problems and operator theory in non-smooth settings. His work spans pure mathematical theory to applications in climate science, with a recurring theme of establishing regularity properties for solutions to partial differential equations under challenging conditions. Professor Haller actively contributes to the academic community through organizing the International Internet Seminar (ISem27/28) on Harmonic Analysis Techniques for Elliptic Operators, where he serves as a virtual lecturer alongside other leading mathematicians. This seminar provides a platform for master's students, PhD candidates, and post-docs to engage with cutting-edge techniques in harmonic analysis. His research collaborations include prominent mathematicians such as S. Bechtel, R.M. Brown, P. Tolksdorf, H. Meinlschmidt, and J. Rehberg, resulting in publications in prestigious journals including Journal of Evolution Equations, Advances in Mathematics, and Annales de l'Institut Fourier. These collaborations demonstrate his integration within the international mathematical community and his leadership in advancing the field of PDE analysis.

Yariv Aizenbudمشاهده پروفایل

استادیار

• Statistical Recovery
• Geometric Structures
• Latent Tree Models
• +۴ مورد دیگر

Dr. Yariv Aizenbud is an Assistant Professor in the Department of Applied Mathematics at Tel Aviv University's School of Mathematical Sciences. His academic journey includes a Ph.D. in Applied Mathematics from Tel Aviv University and a Gibbs assistant professorship at Yale University's Applied Math Program. Research Focus: Statistical recovery of geometric structures Applications: Latent tree variable models, Manifold Learning, Randomized Algorithms in Numerical Linear Algebra Academic Roles: Organizes the Applied Math Seminar at Tel Aviv University Contact: Office: 108 Schreiber Building, Department of Mathematics, Tel Aviv University, Israel, 69978.

Niv Buchbinderمشاهده پروفایل

استاد

• Combinatorial Optimization
• Online Algorithms
• Algorithmic Game Theory
• +۲ مورد دیگر

Prof. Niv Buchbinder is a faculty member in the Department of Statistics and Operations Research at the School of Mathematical Sciences, Tel Aviv University. His research centers on algorithmic solutions for combinatorial optimization in offline and online contexts, with significant contributions to primal-dual methodologies and algorithmic game theory. His academic background includes a Ph.D. in Computer Science from the Technion (2008) under Prof. Seffi Naor and an M.Sc. in Computer Science from the Technion (2003) under Prof. Erez Petrank. Key research areas encompass Combinatorial Optimization, Online Algorithms, Algorithmic Game Theory, Primal-Dual Methods, and Submodular Optimization, focusing on competitive analysis for problems like set cover, ad-auctions, and caching. Recent publications (2012-2015) reveal a concentrated effort in submodular optimization and online decision-making, with applications in advertising, resource allocation, and machine learning. These works consistently employ primal-dual frameworks to achieve strong competitive ratios in adversarial settings. Scientific recognition includes: Best Paper Award at ESA 2007 for “Online Primal-Dual Algorithms for Maximizing Ad-Auctions Revenue” Best Paper Award at FOCS 2011 for “A Polylogarithmic Competitive Algorithm for the k-Server Problem” No information is available regarding student advising or research grants. Similarly, details about laboratory facilities, research teams, or future projects are not provided in the source materials.

Michael Hipplerمشاهده پروفایل

استاد

• Photosynthesis Research
• Plant Cell Biology
• Proteomics
• +۷ مورد دیگر

Professor Michael Hippler leads a research group at the Institute of Plant Biology and Biotechnology at the University of Münster, Germany. He also serves as a Special Appointed Professor at Okayama University, Japan, from April 2019 until March 2028 (3 months per year) through the Okayama University RECTOR Program. His research focuses on plant cell responses to environmental stresses and the molecular mechanisms involved in photosynthetic machinery. His primary research interests include adaptation to low iron availability, light-harvesting versus light-dissipation mechanisms, hydrogen metabolism, calcium-dependent protein phosphorylation in plants, photosystem function and regulation, N-glycosylation in algae, and bioinformatics and proteomics. He primarily uses the green alga Chlamydomonas reinhardtii as a model system, combining molecular techniques like reverse genetics and proteomics to study these processes. His recent publications demonstrate a strong focus on N-glycosylation in algae, particularly examining protein modifications and their effects on cellular functions. His work also extensively covers photosystem structure and function, employing techniques like chemical crosslinking, mass spectrometry, single particle electron microscopy, and cryo-electron microscopy. The research has significant implications for understanding photosynthetic regulation and adaptation mechanisms. Professor Hippler leads the Mass Spectrometry-based Proteomics Unit Biology of Plants (MSPUB), which provides large-scale proteomic analyses for research groups at the Institute. The laboratory is equipped with a hybrid linear ion-trap mass spectrometer (Q-Exactive plus-Orbitrap) coupled to an Ultimate Nano liquid chromatography system. He supervises numerous PhD, Master's, and Bachelor's students and has developed several bioinformatics tools including GenomicPeptideFinder (GPF), qTRACE, pyQms, SugarPy, and Crosslinx. His research is funded by various sources including the DFG FOR 5573 "Dynamic Regulation of the Proton Motive Force in Photosynthesis" consortium.

Manuel Friedrichمشاهده پروفایل

استاد

• Calculus of Variations
• Multiscale Methods
• Free-discontinuity Problems
• +۷ مورد دیگر

Manuel Friedrich is a Professor at FAU Erlangen-Nürnberg , where he leads the research group in Applied Analysis. Previously, he held a Junior Professorship at the University of Münster and was a Postdoc at Universität Wien. His work bridges the Calculus of Variations , Multiscale Methods , and Materials Science , with a focus on Free-discontinuity Problems , Atomistic Models , and Geometric Rigidity . Education : PhD in TopMath elite graduate program (University of Augsburg, 2015), Masters and Bachelors in Mathematics (TU München). Research : He explores variational models for brittle fracture , crystallization in lattices , and geometric stability of nanostructures , often collaborating with Ulisse Stefanelli and others. Awards : Recipient of the Feodor Lynen Fellowship (2015-2018) from the Alexander von Humboldt Foundation. Students : Collaborates with researchers like Leonard Kreutz , Lennart Machill , and Konstantinos Zemas on projects involving graphene ripples and viscoelastic plate theory . Grants : Funded by DFG grants for fracture models in SBD (2019-2021) and metric gradient flows in solid mechanics (2021-2024).