جست‌وجوی استاد و پژوهشگر

Ulrich Kortenkampمشاهده پروفایل

استاد

• Mathematics Education
• Digital Learning Environments
• Place Value Understanding
• +۳ مورد دیگر

Prof. Dr. Ulrich Kortenkamp is a Professor for Mathematics Education at the University of Potsdam since October 2014, holding a position in the Institute of Mathematics within the Faculty of Mathematics and Natural Sciences. He also serves as an Adjunct Professor at Griffith University in Gold Coast, Australia since May 2020. His academic career spans multiple institutions across Germany including Martin Luther University Halle-Wittenberg, University of Applied Sciences Karlsruhe, and TU Berlin. Prof. Kortenkamp's research focuses on mathematics education, particularly in the areas of digital learning environments, computational thinking development, place value understanding, and teacher education. His work bridges theoretical frameworks with practical applications in classroom settings, with a strong emphasis on the integration of technology in mathematics instruction. He has extensively studied how digital tools, particularly the Fingu app, can enhance early mathematical understanding and how language affects place value comprehension across different cultural contexts. His recent publications reveal a strong focus on sustainable development in teacher education, cross-linguistic studies of place value understanding, the impact of digital tools on early mathematics development, geometry education, and the integration of subject knowledge with didactic approaches in teacher preparation. His research consistently addresses how digital environments can transform mathematics teaching while maintaining strong conceptual foundations. Ars legendi Faculty Prize in Mathematics category (2020) for outstanding achievements in teaching, advising, and mentoring, awarded by the Stifterverband (Donors' Association) along with major German scientific societies Prof. Kortenkamp leads several significant research projects including DigiProMIN (developing digitally supported continuing education modules for mathematics teachers), Mathematics Education in the Digital Age (fostering international exchange between University of Potsdam and Griffith University), and Place Value Understanding (investigating primary school children's mathematical development across institutions in Germany and Australia). He is also involved in the SPIES-M project focused on quality initiatives for teacher education and the QuaMath project aimed at promoting teaching quality in mathematics through teacher training courses. He directs a research group focused on mathematics didactics at the University of Potsdam, collaborating with colleagues including Prof. Dr. Birte Friedrich and Prof. Dr. Sebastian Geisler, and working with a team of researchers on various aspects of mathematics education research, including digital learning environments, teacher professional development, and early mathematics concepts.

Ralf Hagemannمشاهده پروفایل

مدرس

• Embedded Systems
• Software Engineering
• Programming Education
• +۵ مورد دیگر

Ralf Hagemann is a Lecturer/Research Associate at Osnabrück University of Applied Sciences, specifically within the Faculty of Engineering and Computer Science . His academic work combines Embedded Systems , Software Engineering , and innovative teaching methods like Problem-Based Learning . He actively develops educational hardware and tools for engineering education. Embedded Systems Board design (STMNucleo32-Baseboard) Problem-oriented curriculum development for computer science students Qt-based visualization frameworks for algorithm training His research spans geometric algorithms (2013 dissertation), digital signal processing (1991 thesis), and domain-specific programming languages (1997 PIPL invention). Recent publications focus on multicultural engineering education and cost-effective product development . As a part-time faculty member , he leads technical workshops and contributes to European Project Semester initiatives. His 1991 Diplomarbeit at Fachhochschule Bielefeld laid foundations for his work in hardware-software integration . He regularly demonstrates his MpC-Bildschirmstellwerk software at international model railway exhibitions (2008-2016) and has published in journals like MIBA digital Extra and Eisenbahn Kurier .

Lea Beilkinمشاهده پروفایل

دانشیار

• Acoustic Metamaterials
• Mechanical Metamaterials
• Wave Control
• +۵ مورد دیگر

Dr. Lea Beilkin is an Associate Professor at Tel Aviv University's Iby and Aladar Fleischman Faculty of Engineering, where she leads the School of Mechanical Engineering's Active Wave Control Lab. Her research focuses on actively-controlled metastructures for autonomous and reprogrammable guiding of acoustic and mechanical waves, with significant contributions to the field of quantum-inspired wave phenomena. Dr. Beilkin's research program spans multiple disciplines at the intersection of physics and engineering: Actively-controlled acoustic and mechanical metamaterials Waveguiding inspired by quantum-mechanical phenomena Non-Hermitian systems and their applications in wave control Real-time wave absorbers and acoustic cloaking technologies Artificial acoustic fields and space-time manipulation Feedback-based control of wave propagation Her recent publications demonstrate a consistent focus on non-Hermitian systems and their applications in controlling wave phenomena. The research shows how classical systems can mimic quantum behaviors, particularly in wave tunneling and propagation. Her lab has made significant contributions to understanding how active control can be used to manipulate wave behavior in unprecedented ways, with applications ranging from acoustic cloaking to gravitational lensing analogies in phononic systems. Dr. Beilkin has received several prestigious grants supporting her research: Israel Innovation Authority (Nofar) grant for 2025-26 UK Acoustics Network (UKAN+) Pilot grant PAZY Foundation grant for 2024-27 Israel Science Foundation (ISF) grant for 2024-27 Dr. Beilkin actively mentors graduate students and postdoctoral researchers in her lab. She has successfully guided numerous students through their theses and research projects, including PhD candidates Sayan Jana and Many Manda. Her lab collaborates extensively with international institutions including the University of Southampton, Imperial College London, and others, demonstrating the global impact of her research. The Active Wave Control Lab at Tel Aviv University is at the forefront of research on active metamaterials. The lab combines expertise in Control Theory, Acoustics, Vibrations, Condensed Matter Physics and Electronics to develop innovative solutions for wave manipulation. Current research directions include real-time controlled acoustic cloaking, non-Hermitian wave systems, and quantum-inspired wave phenomena, with potential applications in noise control, vibration isolation, and novel wave-based technologies.

Tiare Feuchtnerمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۴ مورد دیگر

Dr. Tiare Feuchtner is a Tenure-Track Assistant Professor of Human-Computer Interaction at the University of Konstanz since 2021. She previously worked as a postdoctoral researcher at the Technical University of Vienna and Aarhus University, where she coordinated the MADE Fast project. PhD: Computer Science, Aarhus University (2018), thesis: 'Designing for Hand Ownership in Interaction with Virtual and Augmented Reality' Master's: Computer Science, Berlin Institute of Technology Bachelor's: Media Informatics, Technical University of Vienna Her research focuses on Human-Computer Interaction, emphasizing embodiment and novel user interfaces for immersive cross-reality (XR) technologies. She investigates embodied user interfaces that enable direct interaction through virtual bodies ('avatars') with transformations, augmentations, and 'superpowers' via multisensory feedback. Current projects include Interoceptive Signalling in Mixed Reality and Real-Time Optimization of XR User Interfaces. Her recent articles explore hybrid input devices, haptic props for 3D manipulation, physiological feedback in collaboration, and adaptive XR interfaces. She has received awards for her work, including the Microsoft Imagine Cup (2013). She actively contributes to academic service through conference organization (e.g., AlpCHI'26, QiVC'23), program committees (CHI, ISMAR), and workshops (Women* in Computing, Hybrid User Interfaces). Her teaching includes courses on human-computer interaction, Unity, and spatially-aware interactive spaces.

Marco Rahmمشاهده پروفایل

استادیار

• Metamaterials
• Transformation Optics
• Terahertz Technology
• +۷ مورد دیگر

Jun.-Prof. Dr. Marco Rahm is an Assistant Professor in the Department of Physics at Technische Universität Kaiserslautern, where he leads the junior research group on Metamaterials and Transformation Optics. His research focuses on the design and application of artificial electromagnetic materials for terahertz (THz) technology, including active modulation, sensing, and novel optical components. He maintains close collaborations with the Fraunhofer Institute for Physical Measurement Techniques (IPM) and Duke University’s Center for Metamaterials and Integrated Plasmonics. Research Interests: Marco Rahm's research lies at the intersection of metamaterials, transformation optics, and terahertz photonics. He investigates how engineered materials can manipulate electromagnetic waves in unconventional ways, enabling applications such as invisibility cloaking, subwavelength sensing, and dynamically tunable optical devices. His work emphasizes both theoretical design and experimental realization of THz components using metamaterials with reconfigurable properties. Publication Trends: His recent publications reveal a strong focus on terahertz metamaterials, with key themes including gradient-index lenses, surface wave control, active modulation using graphene or semiconductors, and transformation-optical devices. The works span high-impact journals in optics and applied physics, demonstrating expertise in both fundamental theory and device engineering. Scientific Awards: Excellent Poster Award, 4th Workshop on Terahertz Technology (2009) Advising and Grants: He supervises multiple PhD and diploma students, including Benjamin Reinhard, Peter Weis, and Jens Neu, guiding research in THz sensing, tunable metamaterials, and surface waves. His group benefits from institutional support through the Fraunhofer Attract program and international partnerships, particularly with Duke University, enabling cutting-edge research in electromagnetic metamaterials. Labs and Teams: Rahm leads the junior research group 'Metamaterials and Transformation Optics' at TU Kaiserslautern, closely linked with the Fraunhofer IPM group he also directs. The team includes physicists and engineers working on micro/nanofabrication, optical characterization, and simulation of metamaterials, forming an interdisciplinary effort in advanced THz optics.

Jörg Matysikمشاهده پروفایل

استاد

• Analytical Chemistry
• Molecular Spectroscopy
• Solid-State NMR
• +۷ مورد دیگر

Prof. Dr. Jörg Matysik is a Full Professor and Institute Head at the Institute of Analytical Chemistry , University of Leipzig , where he holds the chair for Molecular Spectroscopy and leads the postgraduate Aufbau-Studium "Analytik & Spektroskopie" . He has been a permanent faculty member since 2013 and previously served as an assistant professor at Leiden Institute of Chemistry from 2000 to 2012. Full Professor of Analytical Chemistry, University of Leipzig (2013–present) Director, Magnetic Resonance Center Leipzig (MRZ) (2015–2018) Chair, Fachgruppe Magnetic Resonance, German Chemical Society (since 2021) Chair, COST Action TD1103 "Hyperpolarization" (2012–2015) Associate Editor, Applied Magnetic Resonance His educational background includes a Diplom in Chemistry from Universität-Gesamthochschule Essen (1992), followed by a PhD (Dr. rer. nat.) from the same institution in 1995, based on research at the Max-Planck-Institut für Strahlenchemie on FT-NIR Raman spectroscopy of phytochrome chromophores. He conducted postdoctoral work in Japan with Prof. T. Kitagawa on heme proteins and in the Netherlands with Prof. H. de Groot on MAS NMR of membrane proteins. Matysik's research lies at the intersection of magnetic resonance , photochemistry , and spin chemistry . His group pioneers the study of the solid-state photo-CIDNP effect , one of the few groups worldwide doing so, to generate and utilize hyperpolarization in photosynthetic systems and flavoproteins. The overarching goal is to enhance the efficiency of spin-based technologies by manipulating non-Boltzmann spin order. His work extends to hyperpolarized xenon, photoreceptor mechanisms, and polymer reactivity. His recent publications reveal a strong focus on hyperpolarization mechanisms , NMR of biological systems , and enzyme-substrate interactions . The work combines advanced NMR methodologies with biochemical and materials systems, particularly in photosynthesis and biodegradation. Keywords across publications include photo-CIDNP, flavoproteins, magic-angle spinning, and metabolic profiling, indicating a consistent trajectory in developing and applying magnetic resonance for functional and dynamic studies. His scientific recognition includes the Jonge Chemici Award (2001) and the Vidi Award (2003) . He is also a member of the International Spin-Chemistry Committee and serves in editorial and leadership roles, reflecting broad community impact. Jonge Chemici Award (2001) Vidi Award (2003) As an academic advisor and research leader, Matysik leads a research group focused on cutting-edge magnetic resonance techniques. He has secured significant collaborative funding through EU COST actions and likely national grants (implied by long-term positions and infrastructure). He mentors students and researchers in spectroscopy and analytical chemistry, and organizes advanced training through summer schools on NMR theory and professional postgraduate programs. His leadership in the MRZ and COST networks underscores his role in building research infrastructure and international collaboration. Matysik leads the Magnetic Resonance Center Leipzig (MRZ) and the Matysik Research Group at the Institute of Analytical Chemistry. His team integrates expertise in spectroscopy, biochemistry, and materials science, focusing on spin dynamics in natural and synthetic systems. The group is uniquely positioned as the only one globally studying solid-state photo-CIDNP in photosynthetic systems, indicating a niche and high-impact research direction.

Jan C. Schuhrمشاهده پروفایل

استاد

• Criminal Law
• Medical Criminal Law
• Legal Philosophy
• +۵ مورد دیگر

Prof. Dr. Jan C. Schuhr is a Professor and Chair of Criminal Law and Criminal Procedure Law, Medical Law, and Legal Philosophy at Heidelberg University's Faculty of Law. He leads the Institute for German, European and International Criminal Law and Criminal Procedure Law, and co-directs the IMGB Institute for Medical Law. His academic career includes habilitation (2015), roles as acting professor (2015–2017), and directorships since 2017. He holds a doctorate from Friedrich-Alexander University of Erlangen-Nuremberg (2005) and has been a practicing lawyer (part-time, 2005–2017). Research focuses on legal certainty, medical criminal law, AI ethics in law, and legal philosophy. Notable awards include the Doctoral Prize (2006) and Staedtler Prize (2005). He co-authored major textbooks like Criminal Law, Special Part 2: Property Crimes and edited volumes on legal theory and digital law. His recent work addresses automation, robotics, and ethical dilemmas in law. Prof. Schuhr advises doctoral students like Philipp Weng and contributes to the Digital Law Doctoral Program. His teaching spans criminal law, medical law, and legal philosophy seminars. Key roles include Dean of Studies (2018–2024) and Research Council member.

• Probabilistic Programming
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Jan-Willem van de Meent is an Associate Professor at the University of Amsterdam where he co-directs the AMLab with Max Welling. He also maintains an Assistant Professor position at Northeastern University, though currently on leave while continuing to advise students and collaborate. His research develops AI models by combining probabilistic programming and deep learning, focusing on understanding inductive biases that enable models to generalize from limited data. His research spans multiple domains: Probabilistic programming frameworks and inference methods Inductive biases for generalization from limited data Physical system simulators incorporating domain knowledge Causal structure and symmetries in AI models Applications in robotics, NLP, healthcare, and physical sciences Van de Meent is one of the creators of Anglican, a probabilistic programming language based on Clojure, and currently develops Probabilistic Torch, a library for deep generative models extending PyTorch. He is writing a book on probabilistic programming (draft available on arXiv) and serves as co-chair of the international conference on probabilistic programming (PROBPROG). His recent publications show a strong trend toward developing more efficient inference methods for probabilistic models, exploring disentangled representations across vision and language domains, and applying these techniques to healthcare, robotics, and neuroscience. His work on nested variational inference, energy-based models, and state abstraction in reinforcement learning has been particularly influential. Awards and Recognition NSF CAREER award (2021) Van de Meent actively advises multiple PhD students and postdocs across interdisciplinary projects. His lab maintains strong collaborations with researchers in robotics, healthcare, neuroscience, and other scientific domains, applying advanced probabilistic modeling to challenging real-world problems. He also develops practical tools for the research community, making advanced inference techniques more accessible to practitioners.

• Software Engineering
• Computer Security
• Machine Learning
• +۵ مورد دیگر

Yun Lin is a researcher affiliated with Shanghai Jiao Tong University, with a former position at the National University of Singapore's School of Computing. Their work focuses on software engineering, computer security, and machine learning. Key research interests include formal methods for program verification, adversarial machine learning, phishing detection, and deep learning applications in security. Lin has collaborated extensively with institutions like NUS and the Institute of High Performance Computing, producing over 70 publications since 2014 across venues such as ICSE, USENIX Security, and NeurIPS. Research interests span security (e.g., phishing detection, smart contract vulnerabilities), program analysis (bug localization, delta debugging), and AI-driven software development (code editing recommendations, LLM integration). Their contributions address challenges in software reliability, adversarial robustness, and scalable security solutions. Prominent publications include works on automated program refinement with LLMs, phishing webpage identification via deep vision models, and conflict resolution in version control systems. Lin’s collaborations emphasize interdisciplinary approaches blending formal methods with machine learning. No awards or grants are explicitly listed in the provided text.

• Probabilistic Programming
• Formal Verification
• Programming Languages
• +۳ مورد دیگر

Kevin Batz is a researcher in computer science at RWTH Aachen University, currently affiliated with University College London. He completed his PhD in December 2024 under Professor Joost-Pieter Katoen, focusing on probabilistic program semantics and verification. His work includes co-developing Weighted Programming, a paradigm for mathematical modeling, and advancing deductive verification techniques for probabilistic systems. Education: PhD in Computer Science (RWTH Aachen University, 2024, summa cum laude). Supervised by Prof. J.-P. Katoen. Research Interests: Probabilistic programming semantics, automated verification, formal methods for heap-manipulating systems, and quantitative separation logic. He has pioneered tools like the deductive verification infrastructure for probabilistic programs and contributed to foundational work on expectation analysis. Awards: ETAPS Doctoral Dissertation Award 2025 Best Paper Award at LOPSTR 2020 Springorum Medal 2019 Teaching & Supervision: Taught courses on probabilistic programming, static analysis, and compiler construction. Supervised multiple thesis projects, including award-winning works on quantitative separation logic and invariant-based strategy synthesis. Labs/Teams: Member of the Software Modeling and Verification Group at RWTH Aachen, contributing to the LuFG i2 research unit.

Ravi Chughمشاهده پروفایل

دانشیار

• Programming Languages
• Human-Computer Interaction
• Direct Manipulation Programming Systems
• +۳ مورد دیگر

Ravi Chugh is an Associate Professor in the Department of Computer Science at the University of Chicago. His work bridges Programming Languages (PL) and Human-Computer Interaction (HCI), focusing on direct manipulation programming systems and hole-driven development. Affiliation: University of Chicago Role: Director of Undergraduate Studies Research interests: Direct Manipulation Programming Systems Type Systems Program Synthesis Structured Editing Visual Programming His recent work includes Ragged Blocks (UIST 2025) for structured text rendering, Code Style Sheets (OOPSLA 2025) for styling code, and projects like Sketch-n-Sketch and Hazel for bimodal programming environments. Professional Activities: Program Committee: HATRA 2025, VL/HCC 2023, PLDI 2022, POPL 2021 Artifact Evaluation Co-Chair: PLDI 2018-2020 Editorial Board: Journal of Functional Programming (2020–)

• Inequality
• Distributive Politics
• Clientelism
• +۷ مورد دیگر

Prof. Dr. Miquel Pellicer Gallardo serves as Professor of Inequality and Poverty at the Center for Conflict Research, Philipps University of Marburg, and holds a Research Fellow position at SALDRU, University of Cape Town. His work centers on the Inequality and Distributive Politics (IDP) research group, investigating why democracies struggle to reduce citizen inequality through interdisciplinary political economy approaches. Education: PhD from the European University Institute Pellicer's research spans distributive politics, multidimensional inequality, political behavior, and the psychology of poverty. He employs quantitative causal inference methods—including survey experiments and regression discontinuity designs—to analyze citizen attitudes, policy effects, and political dynamics across global contexts, with emphasis on Africa and developing democracies. His publication trends (2018-2024) reveal concentrated expertise in clientelism mechanisms, political inequality measurement, and redistribution dynamics. Key patterns include comparative analyses of African electoral behavior, experimental studies of poverty psychology, and historical evaluations of education policy impacts, primarily in political science and development economics journals. Scientific Awards: Francis-Wilson Memorial Prize for best development-focused journal article in South Africa Pellicer advises doctoral researcher Nils Strecker on spatial analysis of political inequality and leads major funded projects including VW Stiftung's "Politicians and the Reproduction of Wealth" (2023-2027) and DFG's "Unequal Democracy in Brazil and South Africa" (2023-2026), focusing on wealth concentration and democratic responsiveness. He directs the IDP research group's community initiatives including Marburg inequality mapping projects, maintains an accessible research blog, and publishes a biweekly digest synthesizing global inequality scholarship through a political economy lens.

Alexander Borstمشاهده پروفایل

استاد

• Cellular Neuroscience
• Systems Neuroscience
• Theoretical Neuroscience
• +۷ مورد دیگر

Prof. Dr. Alexander Borst serves as Director and Head of the Department of Circuits – Computation – Models at the Max Planck Institute for Biological Intelligence. His research focuses on understanding neural computation at the level of individual neurons and small neural circuits, with particular emphasis on visual course control in the fruit fly Drosophila melanogaster. His primary research interests span Cellular & Systems Neuroscience, Theoretical Neuroscience & Technical Applications, and Molecular & Developmental Neuroscience. His laboratory investigates how the brain computes visual motion, leveraging Drosophila as a model system due to its tractable neural circuits (typically 10-20 neurons) and genetic accessibility for manipulation and recording. Key research areas include mechanisms of direction selectivity, neuroethology of motion vision, and dendrite development in direction-selective neurons. Analysis of Prof. Borst's recent publications reveals a consistent focus on Drosophila motion vision mechanisms, with emphasis on direction-selective T4/T5 neurons, parallel ON/OFF pathways, and circuit-level computation. His work integrates molecular, cellular, and systems approaches to uncover fundamental principles of neural information processing. Prof. Borst actively mentors graduate students through the GSN program, with current students including Amalia Braun, Cemre Coskun, Melisa Oezmen, and Sophie Schmidt-Hamkens, and numerous successful PhD graduates who have made significant contributions to the field. His department employs a comprehensive experimental toolkit including Neurogenetics, Molecular Characterization, Electrophysiology, 2-Photon Functional Imaging, Tethered and Free Behavior analysis, and Computational Modeling to investigate the neural basis of motion vision in Drosophila.

Jer-Shing Huangمشاهده پروفایل

استاد

• Nanophotonics
• Plasmonics
• Quantum Optics
• +۵ مورد دیگر

Dr. Jer-Shing Huang serves as Head of the Nanooptics Department at the Leibniz Institute of Photonic Technology (Leibniz-IPHT) in Jena, Germany. His research focuses on cutting-edge nanophotonic systems, plasmonic devices, and quantum optical phenomena at the nanoscale. As department head, he leads a research group dedicated to advancing optical science and technology through innovative approaches to light manipulation at subwavelength dimensions. Dr. Huang's research interests span multiple interconnected disciplines: Nanophotonic device engineering and fabrication Plasmonic and metamaterial systems for light manipulation Quantum optical phenomena at room temperature Advanced laser systems and microlaser arrays Chiral light-matter interactions and spectroscopic techniques Nanoscale optical sensing and detection methods Analysis of Dr. Huang's publication record reveals a strong trajectory toward increasingly sophisticated nanoscale optical systems with practical applications. His work demonstrates expertise across the full research spectrum from theoretical modeling to experimental implementation. A notable trend is his growing focus on quantum plasmonic systems that operate at room temperature, potentially enabling more practical quantum technologies. His publications span high-impact journals across physics, optics, and materials science, indicating broad recognition within multiple scientific communities. Recent work shows increasing emphasis on DNA-based nanofabrication techniques and electrically controllable optical systems. Dr. Huang maintains an extensive collaboration network with researchers across German institutions including Friedrich Schiller University Jena, as well as international partners. His work appears consistently in top-tier journals including Nature Communications, Advanced Materials, and Laser & Photonics Reviews. While specific grant information isn't provided in the text, his productive publication record suggests active funding support for his research program. As Head of the Nanooptics Department, Dr. Huang oversees research operations and laboratory facilities that enable cutting-edge work in nanofabrication, optical characterization, and theoretical modeling. The department maintains comprehensive capabilities for developing next-generation optical technologies with applications in sensing, computing, and quantum information processing.

• Programming Languages
• Functional Programming
• Partial Evaluation
• +۴ مورد دیگر

Peter Thiemann is a Professor of Computer Science at the Institute of Computer Science, Faculty of Technology, University of Freiburg, Germany. He leads the Programming Languages research group and serves as a member of the examination committee. His extensive academic service includes chairing the steering committee of the European Symposium on Programming (ESOP) since 2017, having previously served as program chair for ESOP 2016 and general chair for ICFP'12. Thiemann's research spans multiple areas within programming languages, with particular focus on partial evaluation, program transformation, functional programming, type systems, and web programming. His work on the WASH (Web Authoring System Haskell) demonstrates his contributions to server-side web scripting with strong type safety guarantees. He has developed techniques for higher-order redundancy elimination, binding-time analysis, and adaptive programming. His research shows a consistent thread of connecting theoretical foundations with practical implementation concerns, particularly in the areas of program analysis and transformation. Thiemann has been deeply involved in the programming languages community, serving as vice chair of ACM SIGPLAN (2015-2018) and tutorial editor of the Journal of Functional Programming (2017-2020). His extensive program committee service across major conferences like POPL, ICFP, ESOP, and ECOOP demonstrates his standing in the field. He has also contributed to IFIP Working Group 2.8 on Functional Programming and chaired the steering committee for the ACM symposium on Partial Evaluation and Semantics Based Program Generation (2003-2005). His publications reveal a research trajectory focused on bridging theoretical concepts with practical implementation, particularly in the areas of partial evaluation, type systems, and program transformation. His work shows consistent contributions to both the theoretical foundations and practical applications of programming language techniques, with numerous publications in top-tier conferences and journals spanning over two decades.