Matthias Parey is a Professor in the Department of Economics at the University of Surrey. He holds additional roles as a Research Fellow at the Institute for Fiscal Studies (IFS) and the Institute for the Study of Labor (IZA), a Researcher at the ESRC Research Centre on Micro-Social Change (MiSoC), and a Research Associate at ZEW. His research spans Labour economics Economics of education Micro-econometrics Inequality Economics of innovation . His recent publications analyze high-skilled migration selection, trade shocks, cannabis market size estimation, and gasoline demand elasticity. He has contributed to journals like Review of Economics and Statistics , Economica , and Journal of the European Economic Association . Scientific awards include fellowships at IFS and IZA. His work on trade shocks examines gender-specific labor supply responses to Chinese import competition, while his cannabis market research introduces a forensic economics approach using legal inputs. Earlier studies focus on maternal education impacts on child development and the long-term labor market effects of Erasmus student exchanges.
Christoph Gehlen is Professor and Chair of Materials and Materials Testing in Civil Engineering at the Technical University of Munich (TUM), based at Franz-Langinger-Str. 10 in Munich. His research group focuses on advanced concrete technologies, materials science, and digital construction methods, with significant contributions to additive manufacturing in civil engineering through the Collaborative Research Center TRR 277. His research spans concrete technology, durability assessment, and sustainable construction practices. Key interests include corrosion mechanisms in reinforced concrete, non-destructive testing methodologies, and additive manufacturing techniques like Selective Paste Intrusion (SPI). Recent work emphasizes 3D concrete printing for structural applications, life cycle assessment of printed elements, and fundamental studies on material behavior under environmental stressors including carbonation, chloride exposure, and freeze-thaw cycles. Analysis of his 15 most recent publications (2024-2025) reveals dominant research trajectories in digital fabrication of concrete structures, particularly SPI-based additive manufacturing. His work integrates materials science with structural engineering to develop functionally graded components, assess sustainability metrics, and solve reinforcement integration challenges. Significant interdisciplinary efforts address durability issues through electrochemical monitoring, coda wave interferometry, and advanced imaging techniques for concrete microstructure characterization. Gehlen leads the Chair of Materials and Materials Testing in Civil Engineering at TUM, which operates advanced laboratories for concrete characterization including confocal laser scanning microscopy and virtual testing environments. His team actively participates in TRR 277 (Additive Manufacturing in Construction), developing fabrication-aware design methods and experimental validation protocols for novel construction technologies.
Prof. Dr. Georg Hein is a Professor in the Department of Mathematics at the University of Duisburg-Essen, Campus Essen. His office is located at WSC-O-3.58, Thea-Leymann-Str. 9, 45117 Essen, with office hours held every Tuesday from 2-3 PM and by appointment. He serves as Director of the Research Group Hein, focusing on Algebraic Geometry. His research centers on Algebraic Geometry with specific expertise in vector bundles, moduli spaces, elliptic surfaces, and sheaf theory. Hein's work demonstrates deep engagement with stability conditions, Fourier-Mukai transforms, and geometric invariant theory. His publications reveal a consistent focus on foundational structures in algebraic geometry, particularly through the lens of vector bundles on curves and surfaces. Analysis of his 15 most recent publications (2017-2007) shows a strong thematic continuity in moduli space theory and vector bundle classification. His work bridges abstract algebraic constructions with computational approaches, as evidenced by algorithmic developments for elliptic surfaces and lattice-theoretic investigations. The publications collectively emphasize stability criteria across diverse geometric contexts. Hein actively supervises PhD students including Asbjørn Michelsen, with former advisees Quyet Thang Truong and Dr. Dario Weißmann. He contributes to academic outreach through the Essen Math Circle for students, organizing weekly sessions for grades 5-13 covering advanced mathematical topics beyond standard curricula. His teaching portfolio includes courses such as Mathematische Miniaturen and Topologie .
Ruben Martins is an Assistant Professor at Carnegie Mellon University's School of Computer Science and serves as the program director of the Master of Science in Computer Science (MSCS) . His research focuses on the intersection of constraint programming, program synthesis, analysis, and verification, with recent work aiming to make formal methods tools more accessible through automated reasoning. Ruben earned his Ph.D. with honors from the Technical University of Lisbon, Portugal (2013) , followed by postdoctoral research at the University of Oxford (2014-2015) and UT Austin (2015-2017) . Research Interests : Ruben's work bridges constraint programming and program synthesis , with applications in software verification , optimization , and automated reasoning . He has developed award-winning tools like Open-WBO , a modular MaxSAT solver that has won gold medals in international competitions. His publications span top-tier venues such as POPL , PLDI , FSE , SAT , and CP , often addressing real-world challenges from program analysis to network security. Scientific Awards include: Distinguished Paper Award at PLDI 2018 Distinguished Paper Award at FSE 2021 Distinguished Paper Award at SAT 2022 Gold medals for Open-WBO in MaxSAT competitions Teaching & Advising : Ruben mentors Ph.D., Master’s, and undergraduate students in research projects related to program synthesis, formal methods, and constraint solving. He teaches courses such as Bug Catching: Automated Program Verification and Advanced Topics in Logic: Automated Reasoning and Satisfiability , emphasizing hands-on experience with tools like Why3. His advising spans topics from AI-driven program repair to network protocol verification , fostering collaboration across disciplines.
Prof. Dr. Christopher Voll is a full Professor at the Faculty of Mathematics, Bielefeld University , Germany. He leads multiple subprojects in the Transregional Collaborative Research Center TRR 358 'Integral Structures in Geometry and Representation Theory' , including A1 (lattices), A4 (Euler products), and A6 (quiver zeta functions). His research bridges algebra, number theory, and combinatorics through zeta functions, subgroup growth, and representation theory.
Brigitte Pientka is a Professor at McGill University's School of Computer Science , where she leads the Computation and Logic group . She earned her PhD from Carnegie Mellon University in 2003 and previously studied at the University of Edinburgh and Technical University of Darmstadt. Education PhD in Computer Science, Carnegie Mellon University (2003) University of Edinburgh Technical University of Darmstadt Research Interests Her work focuses on the theoretical and practical foundations for building reliable software systems, combining logic, type theory, and verification with system-building. Key areas include: Type Theory and Dependent Types Logical Frameworks and Mechanized Metatheory Session-Typed Concurrency and Linear Logic Metaprogramming and Contextual Type Systems Theorem Proving and Formal Verification Functional Programming and Language-Based Security Professional Roles She has served as: PC Chair for ICFP'24 and CPP'24 General Chair for POPL'20 Executive Editor of Logical Methods in Computer Science Steering Committee Member for LICS, POPL, and ESOP Scientific Awards Dr. Pientka has received: Test of Time Award at PPDP'18 Humboldt Fellowship for research at MPI-SWS, Germany Labs & Teams She actively develops the Beluga programming language , a tool for mechanizing meta-theory proofs and type-driven program manipulation.
Elena Zucca is an Associate Professor in the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) at the University of Genoa, Italy. She has a strong research focus on programming languages, particularly in the areas of type systems, formal semantics, and coinduction. Her work bridges theoretical foundations with practical implementations, as evidenced by her publications on topics like Featherweight Java, corecursion, and soundness proofs for programming language features. Her research interests span the theoretical and practical aspects of programming languages. She investigates the formal semantics of programming constructs, particularly focusing on the boundaries between finite and infinite computations. Her work on coinduction and corecursion explores how to safely handle infinite data structures and computations. She has made significant contributions to understanding soundness in programming language features, especially in relation to resource-aware semantics. Her research often combines theoretical foundations with practical implementations, as seen in her work on Featherweight Java extensions and effect systems. Analysis of her recent publications reveals a consistent focus on advanced type systems and semantics. Her work explores the theoretical boundaries of programming language features while maintaining practical relevance. A recurring theme is the relationship between finite and infinite computations, with particular attention to soundness guarantees. Her research has evolved from foundational work on lambda calculus and object-oriented programming toward more specialized topics like graded types, coeffects, and resource-aware semantics. Elena Zucca has been actively involved in the programming languages research community, serving on program committees for major conferences including SPLASH, ECOOP, and POPL. She has mentored students through doctoral courses on Declarative Programming and (Co)Induction. Her research has been supported through participation in various academic programs, including the SEPL research program mentioned in her course materials. She teaches a diverse range of courses at the University of Genoa, from undergraduate to doctoral levels. Her teaching portfolio includes Automata Theory and Computability, Algorithms Analysis and Design, Principles and Paradigms of Programming Languages, and specialized doctoral courses on Declarative Programming and (Co)Induction. Her courses often reflect her research interests, covering theoretical foundations of programming languages, formal methods, and advanced programming paradigms.
Reza Salkhordeh is a Lecturer and Postdoctoral Researcher at Johannes Gutenberg University Mainz, Germany, where he leads the Efficient Computing and Storage Group. He holds a Ph.D. in Computer Engineering from Sharif University of Technology (2018) and has been affiliated with Ferdowsi University of Mashhad and Sharif University of Technology. His research focuses on operating systems, storage systems, and non-volatile memory technologies, with a particular emphasis on high-performance computing and I/O optimization. He has taught courses such as Storage Systems and Advanced Topics in Operating Systems since 2020. His academic journey includes a B.Sc. from Ferdowsi University (2011), M.Sc. and Ph.D. from Sharif University (2013, 2018). He has held roles such as Technical Lead for the High-Performance Data Storage System (HPDS) project in Tehran, Iran, and has mentored 4 M.Sc. and 6 B.Sc. students. His work spans patented technologies like Reconfigurable Cache Architectures and Load Balancers for I/O caching systems. Research interests include heterogeneous memory management, storage system design, and optimizing I/O performance in distributed environments. His recent publications address challenges in NVMM utilization, garbage collection in SSDs, and I/O tracing for HPC systems. He is actively involved in conference committees (e.g., FAST, ARCS, SC) and has reviewed for top journals like IEEE TPDS and ACM Transactions on Storage. Notable recognitions include membership in Iran’s National Elites Foundation (2012–2015) and top rankings in national exams (3rd in PhD, 35th in MSc). His contributions to storage systems have advanced enterprise-grade architectures and decentralized file systems, with a focus on practical implementations for modern computing challenges.
Elena Simone is a Full Professor at the Department of Applied Science and Technology (DISAT) of Politecnico di Torino, Italy, where she serves as Vice Coordinator of the PhD programme in Chemical Engineering. She holds an ERC fellowship and leads the Crystallization & Crystal Engineering Laboratory. Her research integrates crystal engineering, process technology, and materials science for applications in food and pharmaceutical industries. Research Interests: Fundamental crystallization mechanisms and polymorph control Food and pharmaceutical crystal engineering Process analytical technology development Sustainable manufacturing of functional crystalline materials Particle design for emulsion stabilization and delivery systems Her recent publications (2023-2025) demonstrate strong focus on experimental and computational approaches to crystallization control, with applications spanning confectionery fats, pharmaceutical polymorphs, electrocatalysts, and emulsion systems. The work frequently employs advanced characterization techniques including synchrotron X-ray scattering. Awards & Leadership: Excellence Award in Crystallization 2017 (EFCE) Steering Committee Member: EFCE Crystallization Working Party Steering Committee Member: British Association of Crystal Growth Editor: Food and Bioproducts Processing Guest Editor: Crystal Growth & Design She currently supervises five PhD students and leads multiple research projects including the ERC-funded CryForm (2021-2026) on crystallization fundamentals, AdvinPro (2024-2026) on insect processing, and NewOilFactory (2024-2026) on crystalline oleogels.
Dr. Yolita Eggeler is an Assistant Professor in the Department of Physics at the Karlsruhe Institute of Technology (KIT), leading the LEM (Laboratory for Experimental Materials) research group. Her work focuses on advanced materials science, nanotechnology, and additive manufacturing, with a particular emphasis on laser-based fabrication techniques, thermoelectric materials, and micro/nanostructural characterization. She is affiliated with the KIT Physics Department and collaborates on projects involving energy harvesting, semiconductor devices, and high-temperature alloy behavior. Research interests include: Laser microprinting of semiconductors and metals Thermoelectric generator design and optimization Nanoparticle synthesis and applications High-temperature material degradation and creep mechanisms Recent publications highlight innovations in photothermal laser printing of crystalline materials, novel thermoelectric modules, and core-shell nanocrystal engineering. Her work bridges fundamental materials science with applied technologies like flexible electronics and energy conversion systems. Key collaborations involve advanced TEM analysis for microstructural studies and correlative microscopy techniques. She is actively developing new methodologies for in-situ pyrolysis of 3D-printed materials and exploring AI-driven materials discovery through concept graph analysis. Laboratory facilities include state-of-the-art laser printing systems, electron microscopy setups, and thermal characterization equipment. Her team focuses on translating lab-scale innovations into scalable manufacturing processes for next-generation electronic and energy systems.
M. T. Goodman is a Professor in the Department of Gynecologic Oncology at Heidelberg University's Faculty of Medicine, with extensive contributions to ovarian cancer research through major international consortia including the Ovarian Cancer Association Consortium (OCAC) and Ovarian Tumor Tissue Analysis (OTTA) consortium. With 77 publications documented in the DKFZ database from 2022-2025, Dr. Goodman's research focuses on the genetic and molecular underpinnings of ovarian cancer susceptibility and progression. Dr. Goodman's research interests center on ovarian cancer genetics, with particular emphasis on identifying genetic risk variants, understanding tumor microenvironment dynamics, and developing risk stratification models. Their work spans molecular oncology, cancer epidemiology, and translational research, with significant contributions to understanding how genetic factors, hormone receptor expression, and immune responses influence ovarian cancer development and patient outcomes. Recent studies have explored pleiotropic risk alleles at the 19p13.1 locus, immunological features of long-term survivors, and the interplay between RB1 loss and BRCA deficiency in predicting treatment response. The publication record demonstrates consistent involvement in large-scale, multinational studies analyzing genetic risk factors, tumor characteristics, and survival outcomes in ovarian cancer. These studies frequently employ sophisticated statistical frameworks for assessing interactions in risk stratification models and integrate multi-omics approaches to identify functional mechanisms underlying cancer susceptibility. Dr. Goodman's research has been published in high-impact journals including Nature Communications, Journal of the National Cancer Institute, Clinical Cancer Research, and Gynecologic Oncology, reflecting significant contributions to the field of gynecologic oncology and cancer genetics.
Prof. Dr. Carolin König is an Associate Professor (W2) in Computational Chemistry at the Institute of Physical Chemistry and Electrochemistry, Faculty of Natural Sciences, Leibniz University Hannover (LUH). She serves on the Executive Board of the Institute and leads the Computational Chemistry research group (AG Computational Chemistry). Her academic career includes an Emmy-Noether Young Research Group Leader position since 2019 and a tenure-track appointment at LUH since 2020, with the potential to progress to a full professorship (W3). Her educational background includes: Doctorate in Theoretical Chemistry (summa cum laude) from University of Münster (2013) Diploma in Chemistry (grade: 1.1) from Heidelberg University (2009) Erasmus exchange studies at University of Helsinki (2007-2008) Prof. König's research focuses on computational spectroscopy of complex (bio-)molecular systems, with expertise in quantum chemistry, multiscale and fragmentation approaches, and vibrational wave functions. Her work bridges theoretical chemistry with practical applications in biomolecular systems, particularly in understanding spectroscopic signatures of biological molecules. She develops advanced computational methods that enable accurate prediction of vibrational spectra for complex systems, which has implications for understanding protein structures and developing biomarkers for diseases like Alzheimer's. Her publication record demonstrates a consistent trajectory of innovative research in computational chemistry, with a particular emphasis on vibrational spectroscopy and fragmentation methods. Recent work shows increasing sophistication in handling complex biomolecular systems, with applications ranging from understanding protein-ligand interactions in neurodegenerative diseases to developing new materials with tailored optical properties. Her research group has made significant contributions to vibrational embedding theory and tailored multilevel approaches that allow for quantum mechanical vibrational spectra calculations of previously intractable complex systems. Her notable scientific achievements include: Hans G. A. Hellmann award 2023 for Groundbreaking developments in Quantum-Chemical Methods for Spectroscopic Signatures of Biological Systems Emmy-Noether Young Research Group Leader position funded by DFG Marie Sklodowska-Curie Individual Fellowship from the European Commission Feodor Lynen post-doc fellowship from the Alexander von Humboldt Foundation Post-doc fellowship from the Carlsberg Foundation Prof. König has secured significant research funding through prestigious fellowship programs and research grants. Her Emmy-Noether group represents a major investment in her research program by the German Research Foundation (DFG). Her previous Marie Curie Fellowship at KTH Stockholm and post-doctoral fellowships demonstrate her ability to compete successfully for international research funding. She has also been recognized with the Hans G. A. Hellmann award, one of the most prestigious awards in theoretical chemistry in Germany. Her research group, the Computational Chemistry group at Leibniz University Hannover, focuses on developing and applying advanced computational methods for spectroscopy of complex molecular systems. The group works at the intersection of theoretical chemistry, quantum physics, and biochemistry, with particular emphasis on vibrational spectroscopy and fragmentation approaches that enable accurate calculations of molecular properties for large biomolecular systems. Their work has important applications in understanding protein structures related to neurodegenerative diseases and developing new computational tools for materials science.
Lukas Kühne is an Assistant Professor (Juniorprofessor) at Bielefeld University's Faculty of Mathematics. His research focuses on the intersection of combinatorics, algebra, and geometry, with specializations in hyperplane arrangements, matroids, polytopes, and computational methods. He actively contributes to software development for combinatorial mathematics, including the Oscar module for matroids and the CountingChambers.jl package. Education: PhD from Hebrew University of Jerusalem (2017-2020), Master's from University of Bonn (2014-2017), and Bachelor's from TU Kaiserslautern (2011-2014). His work has been supported by grants such as DFG SPP 2458 and SFB-TRR 358. Research interests include experimental methods in combinatorics, geometric realizability of matroids, and applications of discrete mathematics in algebraic geometry. Recent work explores simpliciality in arrangements, cosmological polytopes, and algorithmic approaches to hyperplane arrangement properties. Teaching responsibilities include courses on Linear Algebra, Discrete Mathematics, and Finite Reflection Groups. He organizes conferences such as the 'Dive into Research: Simpliciality in Arrangements and Matroids' and has participated in international workshops on combinatorial algebraic geometry.
Professor Michael Schmidt serves as the head of the Institute of Photonic Technologies (LPT) within the Department of Mechanical Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His research focuses on advanced laser-based manufacturing technologies with particular emphasis on additive manufacturing processes and laser materials processing. The institute maintains state-of-the-art facilities for laser processing research and collaborates extensively with industrial partners in the automotive, medical device, and manufacturing sectors. Professor Schmidt's research interests span laser-based additive manufacturing of metals and polymers, with particular expertise in powder bed fusion (PBF-LB/M), directed energy deposition (DED-LB/M), laser beam shaping, and laser welding technologies. His work addresses fundamental challenges in process optimization, material-property relationships, and quality assurance in additive manufacturing. Recent research has focused on improving process stability for challenging materials like copper, developing novel beam shaping techniques, and advancing in-situ monitoring capabilities for industrial applications. His group maintains strong expertise in both experimental and computational approaches to laser materials processing. Analysis of Professor Schmidt's recent publications reveals a strong focus on advancing the scientific understanding of laser powder bed fusion processes, particularly regarding melt pool dynamics, scan strategy optimization, and material-property relationships. His work spans both metallic and polymer materials systems, with significant contributions to understanding the effects of laser wavelength, beam shaping, and process parameters on final part quality. The research demonstrates strong interdisciplinary connections between mechanical engineering, materials science, and photonics. Professor Schmidt leads a substantial research group comprising numerous doctoral students and postdoctoral researchers who contribute to his extensive publication record. His team collaborates with multiple industrial partners on applied research projects focused on implementing advanced laser processing technologies in industrial manufacturing environments. The research group benefits from state-of-the-art laser processing equipment and characterization facilities at FAU. The Institute of Photonic Technologies under Professor Schmidt's leadership maintains specialized laboratories for laser materials processing, including facilities for metal and polymer additive manufacturing, laser welding, and advanced optical diagnostics. The institute houses multiple laser systems with varying wavelengths and power capabilities, enabling comprehensive research across different material systems and process conditions. The research environment emphasizes both fundamental scientific investigation and practical industrial implementation of laser processing technologies.
Dr. Waldfried Premper is affiliated with the Institute for German Language and Literature I at the University of Cologne, where he has held teaching assignments since 2015, and also taught at the University of Münster in 2015. Previously, he served as a Research Associate at the Ludwig Maximilian University of Munich (2013-2014) and at the University of Wuppertal (2009-2013), where he was a member of Prof. Dr. Monika Rathert's research group and ZefiS (Center for Interdisciplinary Linguistic Research). His academic journey began with studies in biology, Protestant theology, and educational science (1977-1980), followed by general linguistics, German studies, and philosophy (1980-1986) at the University of Cologne. He earned his Magister Artium in 1986 and completed his doctorate in December 2000 with a grade of magna cum laude. His doctoral work focused on Arabic syntax, as evidenced by his 2002 publication "The 'Static Clauses' of Arabic from a Typological Perspective," which was also his dissertation. Dr. Premper's research centers on functional language typology and contrastive linguistics, cognitive linguistics and lexicology, and text linguistics and language theory. His scholarly focus demonstrates particular expertise in Arabic language structures, especially clause constructions, verb systems, and semantic aspects. He has conducted extensive comparative studies between Arabic, German, and Japanese, with special attention to perception verbs and their complements. His long-term engagement with the Cologne Universals Project since 1986 forms a cornerstone of his academic career. His publication record spans multiple decades, with significant recent contributions including his 2018 work on circumstantial clauses in Arabic and his 2017 analysis of translatology and contrastive linguistics. His research shows consistent attention to language universals, Arabic syntax, and cross-linguistic comparison, reflecting both theoretical depth and practical linguistic analysis. Dr. Premper has been involved with the German Research Foundation (DFG) Priority Program Language Typology, working on "Comparative Studies on the Semantics of Perception Verbs and Nominalizations" at the University of Tübingen from 1996-2000. His collaborative work with Yoshiko Ono on perception verbs demonstrates his engagement with international linguistic research. He maintains an office at the University of Cologne (Room 3.219) with consultation hours by appointment, bookable through the RRZK scheduler since the shutdown of Phil-Services in March 2021.
