Dr. Eric T. Reifenstein is a neuroscience researcher at Humboldt-Universität zu Berlin's Faculty of Life Sciences, Institute of Biology, specializing in neural mechanisms of spatial navigation and memory. As a key contributor to SFB 1315 (Entorhinal Cortex as Interface between Memory and Space), his work bridges computational modeling and human electrophysiology. His research focuses on egocentric spatial mapping and sequence learning mechanisms , with particular expertise in human single-neuron recordings during virtual navigation tasks. Reifenstein investigates how the brain encodes self-centered spatial representations and how synaptic learning rules enable temporal sequence memorization. His publication trends reveal a strong emphasis on translational neuroscience , connecting rodent studies to human cognition through innovative virtual reality paradigms. Key methodological approaches include single-neuron recordings, computational modeling of neural networks, and behavioral analysis of spatial memory. Scientific contributions include: Identification of egocentric bearing cells in human parahippocampal cortex Mathematical analysis of phase precession in sequence learning Vectorial representation models of egocentric space Reifenstein actively collaborates with leading researchers including Prof. Richard Kempter and Joshua Jacobs, contributing to major neuroscience journals like Neuron and eLife. His work has implications for understanding memory disorders and developing neural prosthetics.
Jie M. Zhang is an Assistant Professor in the Department of Informatics at King's College London, specializing in the intersection of software engineering and artificial intelligence. Her research focuses on two main directions: AI for Software Engineering (leveraging AI technologies to automate software tasks) and Software Engineering for AI (applying SE principles to enhance AI system trustworthiness). Her educational background includes a PhD in Computer Science from Peking University, where she was supervised by Professors Lu Zhang and Dan Hao. Prior to joining King's College London, she was a Research Fellow at University College London working with Professor Mark Harman and Professor Federica Sarro. Dr. Zhang's research interests center on software testing, machine learning trustworthiness, fairness testing, bias mitigation in AI systems, and program analysis. Her work particularly examines how large language models can be utilized for code generation, test case creation, and program repair, while also developing techniques to detect and fix issues within AI models. Her recent publications demonstrate strong trends in evaluating and enhancing the trustworthiness of AI-generated code, with specific emphasis on fairness testing across various domains including autonomous driving systems, machine translation, and decision-making software. Her research increasingly focuses on the efficiency of generated code and detecting hallucinations in large language models. 2025 ACM Sigsoft Early Career Researcher Award for pioneering contributions to software engineering for AI IEEE TSE 2024 Best Paper Award for 'Stealthy Backdoor Attack for Code Models' FSE 2025 Distinguished Paper Award Royal Society International Exchange Grant recipient NMES Enterprise & Engagement Partnerships Fund recipient Dr. Zhang has served in numerous leadership roles across major software engineering conferences including as General Chair for AIware 2025, Area Chair for ASE 2025, and Steering Committee Member for ICST. She has advised multiple PhD students and received significant research funding for her work on LLMs and software engineering. Her research group collaborates with industry partners including Huawei and Facebook, and she leads projects such as ITEA GENIUS and ITEA GreenCode. She is actively involved with King's College London research hubs including the Trusted Autonomous Systems Hub, Security Hub, and Software Systems group, where her work contributes to developing trustworthy AI systems across multiple domains.
Dana Schmalz is a Senior Research Fellow at the Max Planck Institute for Comparative Public Law and International Law in Heidelberg, Germany, and currently serves as a visiting scholar at Columbia Law School and a fellow at the Columbia Center for Contemporary Critical Thought in New York. Funded by an Alexander von Humboldt Foundation fellowship, she pursues a two-year research project examining critical dimensions of international refugee law and migration governance. Her academic profile combines rigorous legal scholarship with theoretical engagement across international law, political philosophy, and migration studies. Dr. Schmalz earned her doctorate from the University of Frankfurt in 2017 with a dissertation on democratic theoretical issues in refugee law, followed by an LL.M. in Comparative Legal Thought from Cardozo Law School, New York, in the same year. She serves as an editor for the journal Kritische Justiz (KJ), contributing to critical legal scholarship in German-speaking academic circles. Her research centers on the intersection of refugee law and democratic theory, examining how political rights are secured for those without voice in democratic processes. She critically investigates population discourse and its relationship to migration governance, exploring how demographic projections shape perceptions of 'too many' migrants. Her scholarship analyzes the language and power structures of international law, examining how legal frameworks construct hierarchies and influence global governance. She has published extensively on European border policies, refugee protection mechanisms, and the theoretical foundations of international legal order. Dr. Schmalz's recent publications reveal a sophisticated analysis of migration governance that connects historical developments with contemporary challenges. She examines how legal concepts like responsibility-sharing function in practice, investigating the role of geopolitical proximity in determining state obligations toward refugees. Her work consistently combines rigorous legal analysis with critical theoretical perspectives, often challenging conventional understandings of migration governance. She explores the internalization of borders in demographic thinking and the ways legal frameworks contribute to perceptions of migration as 'excess.' Alexander von Humboldt Foundation fellowship supporting current research As an active contributor to Völkerrechtsblog, Dr. Schmalz helps shape digital infrastructure for global legal scholarship. Her work connects with broader academic communities through collaborations with scholars across international law and refugee studies. While specific grant details beyond the Humboldt fellowship aren't provided in the source material, her extensive publication record indicates sustained research activity across multiple funding cycles. She engages with practical policy challenges through her analysis of European migration governance and refugee protection mechanisms. Dr. Schmalz's research connects with multiple academic networks through her work at the Max Planck Institute, Columbia University, and her editorial role at Kritische Justiz. Her scholarship bridges German and Anglo-American academic traditions, contributing to transnational legal discourse on migration and refugee protection. She participates in interdisciplinary conversations that connect legal scholarship with political theory, philosophy, and migration studies.
Prof. Dr. Jens Eisert is a Professor at the Free University of Berlin, where he leads the Quantum Many-Body Theory, Quantum Information Theory, and Quantum Optics research group (Eisert AG) within the Institute of Theoretical Physics at the Dahlem Center for Complex Quantum Systems. His office is located at Arnimallee 14, Room 1.3.06 in Berlin-Dahlem. His research focuses on the intersection of quantum information theory and condensed matter physics, specifically exploring what information processing tasks are possible using individual quantum systems as information carriers. His group develops mathematical-theoretical foundations of quantum information, particularly in entanglement theory and tomography, while also investigating quantum optical implementations using light modes or cold atoms in optical lattices. A major emphasis of their work is on quantum many-body systems, including static properties, efficient numerical simulation methods like tensor networks, and non-equilibrium quantum dynamics. Recent publications highlight significant contributions in thermalization of quantum systems (Communications Physics 2025), quantum thermodynamics (Nature Physics 2025), and quantum error correction (PRX Quantum 2025). The group's work is characterized by combining the rigor of mathematical physics with physically motivated applicability, frequently leading to direct collaborations with experimental groups. Quantum Information Theory Quantum Many-Body Theory Quantum Optics Entanglement Theory Tensor Networks Quantum Error Correction Prof. Eisert maintains active supervision of numerous PhD students and postdoctoral researchers, with research positions regularly available in areas including quantum error correction, quantum information theory, tensor networks, and quantum simulation. His group has published extensively in top journals including Nature Physics, PRX Quantum, and Physical Review series.
Allison Sullivan is an Assistant Professor of Computer Science at the University of Texas at Arlington (UTA), where she also serves as the Undergraduate Software Engineering Program Director. She is a member of the Software Engineering Research Center (SERC) at UTA and serves as faculty advisor for UTA's Society of Women Engineers (SWE) club. Dr. Sullivan received her PhD in Software Verification, Validation and Testing (SVVAT) from the University of Texas at Austin in 2017 under Sarfraz Khurshid. Her educational background includes: PhD in Software Verification, Validation and Testing, University of Texas at Austin (2017) M.S. in Software Engineering, University of Texas at Austin (2014) B.S. in Software Engineering, University of Texas at Dallas (2012) Dr. Sullivan's research focuses on two primary areas: Automated Software Engineering : Test/Oracle Generation, Automated Bug Localization and Repair, Mutation Testing, and Regression Testing Formal Methods and Programming Languages : Abstractions, Finite Model Finders, Program Synthesis, and SAT/SMT Solvers She leads the SCOPE lab which focuses on 'showing the correctness of all program executions' and has published extensively on Alloy modeling language applications. Her recent publications demonstrate a strong focus on applying formal methods to software engineering problems, with a growing emphasis on the intersection of large language models and software development practices. Her work spans theoretical foundations, tool development, and empirical studies of how developers use modeling languages. Her scientific achievements have been recognized with: NSF CAREER Award (2024) UTA CSE department Rising Star Research Award (2024) UTA College of Engineering Outstanding Early Career Faculty Award (2025) NSF grant for building an educational tool for software modeling ($400k) Dr. Sullivan has successfully advised two PhD students to completion: Dr. Ana Jovanovic (defended November 2024) and Dr. Anahita Samadi (defended February 2025). She actively mentors undergraduate researchers and has secured significant research funding including the NSF CAREER grant. Her service includes committee roles for major conferences including ASE, ISSRE, and FormaliSE. She leads the SCOPE lab at UTA, which brings together graduate and undergraduate researchers to develop techniques for improving software verification and validation, with particular emphasis on making formal methods more accessible to practitioners.
Prof. Dr. Andrzej M Oleś serves as a Professor at the Institute of Theoretical Physics within the Faculty of Physics, Astronomy and Applied Computer Science at Jagiellonian University in Kraków, Poland. His research centers on condensed matter theory with emphasis on quantum materials and electronic structure phenomena. His primary research interests include spin-orbital coupling in transition metal compounds, electron correlation effects, doping mechanisms in metal oxides, and magnetic phenomena in antiferromagnetic/ferromagnetic systems. He employs advanced theoretical frameworks including model Hamiltonians and density functional theory to investigate quantum phases, lattice dynamics, and topological states in complex materials. Recent publications reveal a strong focus on kagome lattice systems (FeGe, RhPb), infinite-layer nickelates, and quantum computation optimization. His work demonstrates consistent exploration of charge density waves, topological surface states, and nonadiabatic quantum control across high-impact journals including Physical Review series and Condensed Matter. Oleś maintains an extensive international collaboration network with researchers from Italy, the United States, and other European institutions, as evidenced by co-authorship patterns across his publication record. His theoretical contributions address fundamental challenges in strongly correlated electron systems and quantum material design.
Dr. Shahin Ghaziani is affiliated with the University of Hohenheim, serving in dual roles across two departments. As a researcher in the Department of Agricultural Business Administration (410b), he contributes to the EDIF and NOcsPS projects, focusing on agricultural policy and public relations. Concurrently, he supports the Department of Societal Transaction and Agriculture (430b) as an IT specialist and webmaster. His work bridges technical support, policy analysis, and research in food systems sustainability. Research interests include food loss/waste reduction, agricultural data systems, refugee nutrition, and policy-driven interventions. Notable projects address digital maturity in food certification and value stream mapping for wheat lifecycle analysis in Iran. Publications span 2014-2025, emphasizing cross-sector collaboration in policy design and quantitative methods for food waste mitigation. His work highlights gaps in household self-reporting and advocates for hybrid data approaches. Shahin collaborates with organizations like Caritas on asylum seeker nutrition and explores livestock sustainability in tropical regions. Though no awards are listed, his interdisciplinary projects reflect impactful contributions to food systems and refugee welfare.
Prof. Dr. Andreas Beyer holds a faculty position at the University of Cologne, affiliated with the Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases (CECAD) and the Cologne Excellence Cluster for Cellular Mechanisms in Cancer (CMMC). His research focuses on systems-level analysis of aging processes in humans and model organisms, integrating genomic, proteomic, and computational approaches. Key interests include understanding how genetic variation influences protein networks, developing algorithms for big data analysis, and exploring epigenetic mechanisms related to longevity. Research projects include studying age-associated changes in transcriptional elongation, molecular networks in kidney disease, and the impact of dietary restriction on aging. His group develops tools for proteomics and systems biology, such as methods for analyzing limited proteolysis data and single-cell resolution imaging. Collaborative efforts emphasize translational research in aging-related diseases and drug discovery. Prof. Beyer’s work spans computational biology, molecular genetics, and translational medicine. Notable contributions include identifying epigenetic changes linked to longevity and developing predictive models for age-related disease progression. His lab’s projects often involve multi-omics integration and network-based analyses to uncover disease mechanisms. His research has implications for personalized medicine, cancer biology, and interventions to extend healthspan. Current efforts include optimizing drug combinations targeting aging processes and advancing proteomic technologies for clinical applications.
Max Fathi is a Professor of Mathematics at Université Paris Cité, affiliated with the Laboratoire Jacques-Louis Lions (LJLL) and Laboratoire de Probabilités, Statistique et Modélisation (LPSM). He concurrently holds a part-time teaching position at the Department of Mathematics and Applications (DMA) at École Normale Supérieure (ENS). Since 2023, he has been a member of the Institut Universitaire de France (IUF), a prestigious national research fellowship in France. He completed his PhD in 2013 at Université Pierre et Marie Curie under Cédric Villani, followed by a postdoctoral position at the University of California, Berkeley with Lawrence C. Evans and Fraydoun Rezakhanlou. Previously, he was a CNRS researcher at the Institut de Mathématiques de Toulouse before joining Université Paris Cité. His habilitation thesis (2019) focuses on optimal transport applications in analysis and probability. Fathi's research centers on optimal transport theory, particularly its applications to analysis, probability, and statistical physics. Key topics include interacting particle systems, functional inequalities (e.g., Poincaré, log-Sobolev), high-dimensional phenomena, Ricci curvature in discrete/continuous spaces, Stein's method, concentration of measure, and numerical methods for stochastic dynamics. His work is supported by the ANR project 'Conviviality.' He has delivered courses on functional analysis at ENS and participated in summer schools, including an MSRI course on functional inequalities and localization techniques. His teaching materials include lecture notes on optimal transport and stochastic processes. His contributions have been recognized through awards such as the IUF membership. Notable research collaborations include work with Thomas Courtade, Matthias Erbar, and Gabriel Stoltz on topics ranging from stability estimates of inequalities to hypocoercivity and numerical analysis of stochastic systems.
Dr. Shahaf Peleg is the Head of the Energy Metabolism and Epigenetics Working Group at the Research Institute for Farm Animal Biology (FBN). His research focuses on aging biology, epigenetic mechanisms, and metabolic interventions. Key areas include histone acetylation regulation, mitochondrial function, and dietary effects on longevity. He uses models like Drosophila, C. elegans, and mice (e.g., Titan mouse) to study aging pathways. Leading interdisciplinary projects on energy metabolism and epigenetic interactions. Developing optogenetic tools for mitochondrial research. Expertise in lipidomics and circadian metabolism. Recent work emphasizes dietary interventions in obesity-related aging and optogenetic rejuvenation of cellular energetics. Active in collaborative networks like ARDD Emerging Science workshops. Publications span metabolic pathway analysis, alcohol's epigenetic impacts, and longevity biomarkers. His team's Titan mouse model is a key tool for testing frailty attenuation strategies.
Jakob Körbelin is a Principal Investigator at the University Medical Center Hamburg-Eppendorf (UKE), affiliated with the Faculty of Medicine and the II. Medical Clinic and Polyclinic. His research focuses on vascular biology, gene therapy, and neurological disorders, particularly targeting the blood-brain barrier using adeno-associated viral (AAV) vectors. He leads studies on pulmonary hypertension, neurovascular interactions, and genetic diseases like Niemann-Pick type C2. His work bridges basic science and translational medicine, emphasizing AAV engineering and therapeutic applications. Key research interests include endothelial cell biology, neuroinflammation, and the pathophysiology of vascular diseases. Notably, he received the UCCH Hubertus Wald Young Investigator Award 2013 for his contributions. His lab explores mechanisms of vascular dysfunction, gene delivery optimization, and the impact of viral vectors in treating rare diseases. Collaborations span molecular neurobiology, immunology, and translational oncology. Publications highlight breakthroughs in AAV-mediated therapies, such as reversing neurodegeneration in NPC2 models and identifying novel targets for pulmonary hypertension. Ongoing projects address microvascular brain pathology in SARS-CoV-2 infection and the role of transcription factors in vascular diseases.
Jürgen Groeneveld is a researcher at the Department of Ecological Modelling at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. His work focuses on agent-based modelling of ecological and socio-environmental systems, with a particular emphasis on pollinator conservation, climate change impacts, and biodiversity digital twins. He contributes to the BioDT Project and collaborates on initiatives like the BEEHAVE and BEE-STEWARD models for honeybee and bumblebee dynamics. His research integrates computational methods with ecological theory to address challenges in sustainable land use and environmental policy. Key projects include modeling land use transformations, analyzing the effects of pesticides on pollinators, and exploring risk-sharing mechanisms for smallholder farmers. Groeneveld has published extensively on topics such as metapopulation dynamics, forest fragmentation, and the application of standardized protocols (e.g., ODD) for simulation models. His work bridges theoretical ecology with practical applications, aiming to inform conservation strategies and climate adaptation policies. He participates in interdisciplinary collaborations across the UFZ’s research units, including the 'Smart Models / Monitoring' group. His contributions span publications in journals like Ecological Modelling, Ecosphere, and Nature, reflecting his expertise in both ecological and computational methodologies.
Professor Saman Amarasinghe is a full Professor in the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT), and Principal Investigator at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). He leads the Commit compiler research group, which focuses on programming languages and compilers that maximize application performance on modern computing platforms. His work spans multiple academic departments and research centers, with strong affiliations to both MIT's School of Engineering and CSAIL. Professor Amarasinghe's research interests center around high-performance domain-specific languages and compiler technology . His work combines language design with sophisticated compilation techniques to deliver unprecedented performance for targeted application domains. His research spans multiple areas including image processing (Halide), sparse tensor algebra (TACO), graph analytics (GraphIt), stream computations (StreamIt), and bioinformatics (Seq). A significant thread throughout his work is the application of machine learning for compiler optimizations, from Meta optimization in 2003 to the OpenTuner autotuner framework. Analysis of Professor Amarasinghe's recent publications reveals a strong focus on sparse computing , compiler vectorization , and domain-specific language implementation . His work consistently bridges theoretical compiler concepts with practical performance gains across diverse application domains. The progression from earlier work on StreamIt and Halide to more recent projects like GraphIt and TACO shows an evolution toward more specialized, high-performance DSLs targeting specific computational patterns. His 2020-2025 publications particularly emphasize sparse tensor operations, GPU acceleration, and machine learning integration with compiler technology. ACM Fellow (2019) Professor Amarasinghe has made significant contributions to academic entrepreneurship and student development. He founded Determina, Inc. (acquired by VMware) based on security research from his MIT lab and co-founded Lanka Internet Services, Ltd., Sri Lanka's first ISP. As faculty director of MIT Global Startup Labs, his programs across 17 countries have helped create over 20 successful startups. His teaching includes the popular Performance Engineering of Software Systems (6.172) course with Professor Charles Leiserson, as well as innovative project-based courses like the Open Source Software Project Lab and Bring Your Own Software Project Lab. His educational approach emphasizes hands-on experience with compiler and language design concepts. Professor Amarasinghe leads the Commit compiler research group at MIT CSAIL, which has produced numerous influential domain-specific languages and compilers including Halide, TACO, Simit, StreamIt, and GraphIt. The lab maintains strong industry connections through projects like OpenTuner and Determina, and collaborates with researchers worldwide on compiler technology. The group's work spans both theoretical compiler research and practical implementation, with a consistent focus on bridging the performance gap between high-level programming abstractions and hardware capabilities.
Hager Ali is a Doctoral Researcher at the German Institute for Global and Area Studies (GIGA), specifically affiliated with the GIGA Institute for Middle East Studies, and is part of the GIGA Doctoral Programme since October 2018. Ali also serves as an External Editor for the thematic series "Autocracies with Adjectives" at the Loop, ECPR's Political Science Blog since March 2022, and maintains a career as a freelance journalist since 2010. German Institute for Global and Area Studies (GIGA) - Institute for Middle East Studies (2018-present) Central European University (CEU) - Teaching appointments (2025) Institute for Peace Research and Security Policy (IFSH) - Teaching appointments (2024) Ali's research focuses on civil-military relations in the Middle East and North Africa, military coups and civilian control of armies, authoritarian regimes and institutions, regime stability and destabilization, party systems and cleavages, and German military deployments in the MENA-Region and Sahel. The doctoral dissertation examines "Praetorianism in the MENA-Region: Military Governance and Civilian Control across Regime Types." Ali's work demonstrates sophisticated methodological approaches to understanding authoritarian resilience and military politics through comparative analysis. Ali's publication record reveals a consistent focus on Sudanese politics and civil-military relations, with increasing attention to contemporary conflicts since 2022. The research combines theoretical insights from comparative authoritarianism studies with detailed empirical analysis of military institutions and political transitions in the Middle East and North Africa. Recent work shows a growing emphasis on practical policy implications, particularly regarding peace negotiations in Sudan and the role of civilian actors in conflict resolution. Shortlisted for the Best Blog Award of 2022 by ECPR's Political Science Blog "The Loop" (2023) Ali actively contributes to academic discourse through conference presentations, policy papers, and media commentary. Recent engagements include serving as a discussant at the ECPR General Conference 2024 on "Trends in autocratic practices and behaviors" and scheduled lectures on the Sudan conflict in 2025. Ali has established collaborations with institutions like the German Institute for International and Security Affairs (SWP) and maintains strong connections with academic networks across Europe. As a member of the GIGA research programme on Accountability and Participation, Ali contributes to interdisciplinary research on governance and political institutions. Ali participates in multiple ECPR Standing Groups including Political Methodology, Political Violence, Comparative Political Institutions, and Critical Peace and Conflict Studies, demonstrating engagement with diverse methodological and theoretical approaches to political science research.
Prof. Dr. Heike Schinnenburg is a Professor of Business Administration with a focus on Human Resource Management at the Faculty of Economics and Social Sciences, Osnabrück University of Applied Sciences. She directs the Master's program in Business Management and specializes in talent management, international HRM, career research, and change management. Her research explores AI's impact on jobs, gender dynamics in careers, and organizational resilience in global contexts. She holds a PhD from Leibniz University Hannover and has extensive industry experience as a consultant and HR director. Her academic career includes guest professorships at Shanghai University of International Business and Economy. Key research projects include inclusive education's impact on workforce development and cultural factors in change management. Her publications span over 50 articles in journals like Employee Relations and Personalquarterly , addressing topics such as frontline work challenges, virtual leadership, and global talent strategies. She frequently presents at international conferences and collaborates on EU-funded research initiatives.
