System Development Professors and Supervisors in Germany | ApplySharif

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Jie M. ZhangView profile

Assistant Professor

Max Planck Institute for Security and PrivacyGermany

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.

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Dana SchmalzView profile

Research Fellow

Alice Salomon University of Applied Sciences BerlinGermany

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.

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Jens EisertView profile

Professor

Free University of BerlinGermany

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.

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Allison SullivanView profile

Assistant Professor

Max Planck Institute for Security and PrivacyGermany

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.

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Juan ZhaiView profile

Assistant Professor

Max Planck Institute for Security and PrivacyGermany

Juan Zhai is an Assistant Professor in the Manning College of Information & Computer Sciences (CICS) at University of Massachusetts Amherst, where she co-directs the Laboratory for Advanced Software Engineering Research (LASER) and participates in the UMass NLP group. Her academic career spans over 7 years of active service including program committee roles at top-tier conferences like ICSE, FSE, and ASE. Her research focuses on Software-AI Synergy with core areas including: Formal Specification Synthesis for precise software behavior definition Comment Generation and Maintenance using LLMs Trustworthy AI through bias detection and framework testing Deep Learning Infrastructure Reliability Recent work demonstrates strong emphasis on practical tools for AI safety and software dependability. Her publication trends show consistent output in top software engineering venues (ASE, ICSE, FSE) with increasing focus on AI/ML conferences (ACL, CVPR, ICLR). Key themes include metamorphic testing for deep learning frameworks, bias analysis in LLMs, and formal methods for specification synthesis. She actively serves the community through: Program committees for 13 major conferences Reviewing for 5 top journals including TOSEM and TSE 40+ total reviews across SE and AI venues Juan mentors PhD students including Gehao Zhang (research focus: Software Engineering, AI Safety) and teaches graduate courses like CS520 (Theory and Practice of Software Engineering) and CS692P (Hot Topics in SE Research). She leads the LASER lab which develops tools like C2S, CPC, and DevMuT for software reasoning and AI infrastructure testing.

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Phil KingView profile

Professor

Max Planck Institute for Chemical Physics of SolidsGermany

Professor Phil King leads a research group within the School of Physics and Astronomy at the University of St Andrews, where he is part of the Centre for Designer Quantum Materials. His research focuses on the electronic structure and many-body interactions of quantum materials using electron spectroscopy, particularly angle-resolved photoemission (ARPES), and creating new designer quantum materials through atomic layer-by-layer growth. King's research interests center on quantum materials, with particular emphasis on topological matter, transition-metal oxides, and 2D quantum materials. His group investigates strain and pressure tuning of quantum materials, photoemission spectroscopy of correlated systems, and engineering band structures in 2D conductors. They develop methods to exploit strong electronic interactions in 2D systems to create new functional materials with tunable properties. Their approach combines experimental screening of candidate materials, bottom-up atomic assembly of custom heterostructures, and advanced spectroscopic feedback. Analysis of King's recent publications reveals a strong focus on the electronic structure of quantum materials, particularly transition metal dichalcogenides, delafossite metals, and topological systems. His work frequently examines charge density waves, spin-orbit coupling effects, Van Hove singularities, and quantum phase transitions. A notable trend is the integration of materials synthesis with advanced spectroscopic characterization, enabling precise control over electronic properties through strain engineering, doping, and heterostructure formation. King actively supervises PhD students on projects related to quantum materials, including probing elastic coupling in exotic magnets, angle-resolved photoemission from tailored mesostructures, thermodynamics and spectroscopy, oxide metals, and gate tuning of 2D quantum materials. His research is supported by major funding sources that enable access to cutting-edge equipment and international facilities. The King Group operates advanced experimental facilities including a high-resolution lab-based ARPES system with multiple light sources, and two DCA R450 molecular-beam epitaxy systems optimized for transition-metal oxides and chalcogenides. They are developing the UK's first spin-resolved ARPES capability. The group regularly utilizes major international facilities including Diamond Light Source, Elettra, SOLEIL, and HiSOR synchrotrons, as well as the ARTEMIS facility for time-resolved studies.

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Shahin GhazianiView profile

Researcher

University of HohenheimGermany

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.

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Maxim RomanovView profile

Research Fellow

University of HamburgGermany

Maxim Romanov heads 'The Evolution of Islamic Societies' project at University of Hamburg's Asia-Africa-Institut, funded by DFG's Emmy Noether Program. Former positions include senior research fellow at KITAB Project and University of Vienna. Research reconstructs social history of Islamic world (c.600-1600 CE) through computational analysis of Arabic chronicles and biographical collections. Research Focus: Digital humanities approaches to premodern Islamic history including OCR development for Arabic manuscripts, corpus linguistics, and geospatial modeling of historical data. Technical Contributions: Developed OpenITI corpus infrastructure, al-Ṯurayyā gazetteer system, and computational methods for large-scale historical text analysis. Recent work enhances NLP for classical Arabic with OCR accuracy exceeding 90%.

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Andreas BeyerView profile

Professor

University of CologneGermany

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.

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Shahaf PelegView profile

Researcher

Research Institute for Farm Animal BiologyGermany

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.

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Juergen GroeneveldView profile

Researcher

Helmholtz Centre for Environmental ResearchGermany

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.

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Marcel FratzscherView profile

Professor

German Institute for Economic ResearchGermany

Marcel Fratzscher serves as President of the German Institute for Economic Research (DIW Berlin) and Professor of Macroeconomics at Humboldt University of Berlin. He holds membership on the Advisory Board of the German Federal Ministry for Economic Affairs and Energy and maintains a prominent public presence as a columnist for Zeit Online, Financial Times, and Project Syndicate. His research spans macroeconomics, financial markets, economic inequality, European integration, monetary policy, and gender distribution. Fratzscher critically examines the social market economy, focusing on how economic policies affect inequality across demographic groups. His expertise includes pension systems, labor market dynamics, migration economics, and climate policy impacts on industry. His approach combines rigorous academic analysis with practical policy recommendations, often challenging conventional wisdom in economic discourse. Fratzscher's recent publications reveal a consistent thematic focus on economic inequality and social justice. His articles analyze paradoxical trends like falling wage inequality alongside rising overall income inequality, discrimination in the workplace (including weight-based discrimination), and the economic costs of social issues like crime fear and gender-based violence. He consistently advocates for policy reforms in pension systems, minimum wage structures, migration policy, and housing markets. As an advisor and public intellectual, Fratzscher bridges academic research and policy implementation. His recommendations often challenge conventional wisdom, such as his arguments against the notion that migration is economically costly or that minimum wage increases necessarily harm employment. He has proposed innovative solutions like the 'Boomer solidarity tax' to address old-age poverty without burdening younger generations. Fratzscher leads DIW Berlin, one of Germany's premier economic research institutions, where he oversees research on critical economic and social issues facing Germany and Europe. The institute's Socio-Economic Panel (SOEP) provides longitudinal data that informs much of his research on inequality and social dynamics. Under his leadership, DIW Berlin continues to shape economic policy debates through evidence-based analysis and forward-looking recommendations.

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Saman AmarasingheView profile

Professor

Max Planck Institute for Software SystemsGermany

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.

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Marcel GebhardtView profile

Professor

Mannheim University of Applied SciencesGermany

Marcel Gebhardt (born 1987) is a Professor in the Department of General Business Administration at the Faculty of Industrial Engineering, Mannheim University of Applied Sciences since April 2022. His expertise spans B2B Marketing, Technical Sales, and Data-driven Marketing & Sales, with a focus on Digital Sales and Business Performance Methods. University: Mannheim University of Applied Sciences School: Faculty of Industrial Engineering Rank: Professor Research Interests: Digital Marketing & Sales Marketing & Sales Analytics Data-driven Marketing & Sales Cost Management in Industrial Engineering Publications Trends: His research focuses on data-driven approaches in B2B marketing, lead scoring models, cost analysis for engineering changes, and optimization of production systems. His work bridges academic theory with industrial applications, particularly in machine building and laser technologies. Scientific Awards: Dissertationspreis der Péter Horváth-Stiftung (2018) Other Contributions: Gebhardt has served as a researcher and consultant in public and industry-funded projects, including roles at the International Performance Research Institute (IPRI).

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Heike SchinnenburgView profile

Professor

Osnabrück University of Applied SciencesGermany

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.

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