Find Academic Supervisors

• Algorithm Engineering
• Computer Science
• Machine Learning
• +5 more

Prof. Johannes Fischer is a full-time Professor at the Department of Computer Science, TU Dortmund, leading the Algorithm Engineering research group (Chair 11). His affiliation includes the Fakultät für Informatik, where he contributes to academic and technical advancements in algorithm design and software systems. The Chair focuses on foundational and applied research in algorithm engineering, computational methods, and interdisciplinary applications such as medical informatics and environmental data analysis. His research interests span algorithm optimization, machine learning, and their practical implementations in healthcare, environmental monitoring, and software systems. Notable recent work includes AI-driven models for medical imaging analysis (e.g., PneuViT for pneumonia screening), brownfield detection using satellite imagery, and studies on healthcare worker well-being. He actively contributes to the development of efficient algorithms and their real-world deployment. Prof. Fischer’s professional activity is reflected in his role as the last editor of Chair 11’s web content (May 2024), indicating ongoing engagement. While no specific awards or grants are explicitly listed in the provided texts, his contributions to interdisciplinary research projects suggest potential recognition in computational and applied fields.

Luise PufahlView profile

Professor

• Business Process Management
• Process Mining
• Operations Research
• +6 more

Prof. Dr. Luise Pufahl is a Professor of Information Systems at the Technical University of Munich (TUM), leading the Information Systems research group at the Heilbronn Campus since 2023. Previously, she served as a visiting professor at the Software and Business Engineering research group in 2022 after completing postdoctoral work at TU Berlin. Her research focuses on business process management, process mining, and sustainability integration in business processes, particularly in healthcare and logistics. She holds a PhD from the Hasso Plattner Institute (University of Potsdam) and has conducted research in the Netherlands and Austria. Her academic career includes studies at the Berlin School of Economics and Law and Humboldt University of Berlin. She specializes in applying operations research, simulation, and machine learning to optimize resource-intensive processes. Notable awards include the Best Demo Award at BPM 2021 and the Runner-up Dissertation Award at BPM 2018. Her work emphasizes regulatory compliance, sustainability, and the practical application of process mining in healthcare systems. Education : PhD: Hasso Plattner Institute, University of Potsdam MSc: Berlin School of Economics and Law & Humboldt University of Berlin Awards : Best Demo Award (BPM 2021) Runner-up Dissertation Award (BPM 2018) Best Paper Award (International Conference on Business Information Systems 2016) Her research addresses challenges in process automation, sustainability-oriented frameworks (e.g., SOPA), and healthcare process optimization. Current projects include SimuBridge for environmental impact simulation and AB testing with reinforcement learning for process improvements.

Ingo WeberView profile

Professor

• Business Process Management
• Process Mining
• Software Architecture
• +5 more

Prof. Dr. Ingo Weber is a Full Professor at the Technical University of Munich (TUM) in the Department of Information System Development and Operation within the TUM School of Computation, Information and Technology. He also serves as Director of Digital Transformation and ICT Infrastructure at the Fraunhofer-Gesellschaft. Previously, he held a full professorship at TU Berlin (2019–2022) and spent a decade in Australia researching at CSIRO, NICTA, and UNSW. His research focuses on Business Process Management (BPM), Process Mining, Blockchain technology, Software Architecture, DevOps, and AI Systems Engineering. Weber has authored/co-authored influential books including DevOps: A Software Architect's Perspective (Addison-Wesley, 2015) and Engineering AI Systems: Architecture and DevOps Essentials (2025). Education & Career - PhD in Semantic Methods for Business Process Modeling (University of Karlsruhe, 2009) - SAP Research parallel role during doctoral studies - Tenured Professorships at TU Berlin and TUM Research Interests Weber's work bridges academic theory and industrial applications. Key areas include: - Blockchain-based process execution (Caterpillar framework on Ethereum) - AI-driven DevOps practices - Scalable transaction creation in blockchain systems - Sustainability-oriented process analysis (SOPA framework) - Generative AI for large process models Awards - Two-time BPM Best Blockchain Paper Award (2019/2022) - ISSRE Best Paper (2015) - CSIRO/NICTA Excellence Awards (2015–2018) - EDOC 2023 Best Paper Grants & Labs - Leads Fraunhofer's digital transformation initiatives - Collaborates with industry partners like Commonwealth Bank (Australia) - Active in EU/CSIRO-funded blockchain research projects Key Contributions - Pioneered blockchain-based BPM systems (Caterpillar) - Defined blockchain pattern taxonomies - Developed tools like BLF (Blockchain Logging Framework) - Advocates for responsible AI engineering practices

Sebastian MüllerView profile

Professor

• Capital Markets
• Investor Behavior
• Machine Learning
• +5 more

Prof. Sebastian Müller holds a professorship in Finance at the TUM School of Management, TUM Campus Heilbronn since 2019. Previously, he was a professor at the German Graduate School of Management and Law (GGS) in Heilbronn (2016–2019). He earned his PhD from the University of Mannheim in 2011 and was a visiting scholar at UC Berkeley (2012–2013). His research focuses on capital markets, investor behavior, and the digitalization of finance, employing machine learning and text analysis. He has been recognized with awards such as the SUERF/UniCredit Prize (2019) and the Spängler-IQAM Award (2018/2019). Notable contributions include work on market anomalies, ESG integration, and the impact of media on financial trends. His research infrastructure projects, like SLICES-RI and pos framework, emphasize reproducible experimentation in networked systems. Education : Mannheim University (Business Admin, PhD 2011) University of Swansea (Business Admin) Research interests span quantitative finance, AI-driven analytics, and sustainable investing. His recent work explores global market dynamics and the application of generative AI in financial analysis. He has published in top journals like the Journal of Financial Economics and Review of Financial Studies . Awards : 7th SUERF/UniCredit Foundation Research Prize (2019) Spängler-IQAM Award (Runner-Up, 2018/2019) Acatis Value Prize (2018) and Young Talent Award (2015) Prof. Müller collaborates on interdisciplinary projects like the EnGINE infrastructure for time-sensitive networks and SLICES-RI for reproducible experiments. His work bridges finance theory and technological innovation in digital finance.

Amir Shayan AhmadianView profile

Researcher

• Software Engineering
• Privacy-Preserving Technologies
• Data Spaces
• +4 more

Dr. Amir Shayan Ahmadian is a Researcher at the Institute of Software Engineering within Department 4 at the University of Koblenz-Landau. His primary role involves software engineering research and teaching responsibilities. He has been actively involved in academic activities since at least 2015, with notable contributions to privacy-preserving technologies, model-based analysis, and industrial data ecosystems. His work emphasizes ethical AI, algorithmic fairness, and privacy-by-design frameworks. Research Interests: His core research focuses on privacy engineering , data space architectures , algorithmic fairness , and model-driven software development . He explores practical solutions for integrating privacy into system design, developing methodologies for detecting biases in AI, and creating scalable frameworks for secure industrial data sharing. His work often bridges theoretical computer science with real-world applications in healthcare, logistics, and manufacturing. Teaching Highlights: He has taught Web Engineering (2015-2019) and supervised seminars on Engineering Responsible Information Systems (2018). These courses emphasize ethical technology development and responsible innovation. Publications Overview: Ahmadian's recent work (2018-2024) reflects a strong focus on privacy-preserving systems and fairness in AI. Key themes include health data spaces, model-based verification for discrimination analysis, and industrial 4.0 platforms. His publications often propose novel architectures, methodologies, and tools to address emerging challenges in privacy, security, and algorithmic ethics. Labs/Teams: He contributes to the development of the VisiOn Privacy Platform , a tool for visual privacy management, and collaborates on projects like MBFair (model-based fairness verification). His work integrates closely with interdisciplinary teams focusing on healthcare IT, industrial automation, and cybersecurity.

Andreas MautheView profile

Professor

• IT and Data Security
• Cyber-Physical Systems
• Network Resilience
• +3 more

Prof. Dr. Andreas Mauthe is a Professor at the University of Koblenz, affiliated with Department 4 (IT and Data Security). He leads research in cybersecurity, network resilience, and multimedia systems. His work spans cyber-physical systems, adaptive streaming, and smart grid technologies. He has advised numerous research assistants and contributes to projects like Fogbanks and Tectons. Research interests focus on IT security , data privacy , and resilient network design . Recent work addresses challenges in adaptive content delivery, malware detection in cloud environments, and quality-of-experience (QoE) optimization in multimedia systems. Key contributions include frameworks for security cost modeling in cyber-physical systems and novel approaches to decentralized anomaly detection. He collaborates on interdisciplinary projects involving IoT, P2P systems, and emergency communication networks. Publications emphasize empirical studies and system prototyping, such as the Juno middleware for adaptive streaming and the PReSET toolset for network resilience evaluation.

Gero SzepannekView profile

Professor

• Machine Learning
• Data Science
• Statistics
• +4 more

Prof. Dr. rer. nat. Gero Szepannek is a Professor at the Faculty of Business at Stralsund University of Applied Sciences, specializing in Statistics, Business Mathematics, and Machine Learning. He teaches courses such as Analytical Statistics, Exploratory Data Analysis, and Data Science for Business. His research focuses on clustering algorithms for mixed-type data, machine learning interpretability, credit scoring models, and educational technology. Notable contributions include work on k-prototypes initialization strategies, explainable AI, and R package development for data science (e.g., clustMixType , mlr3shiny ). Prof. Szepannek organizes the European Conference on Data Analysis (ECDA2026) and participates in academic committees such as the GfKl. His work emphasizes practical applications in finance, healthcare, and education. He advises students on thesis topics in Machine Learning/Data Science/Statistics and engages in R User communities.

Cristóbal CurioView profile

Professor

• Cognitive Architectures
• Deep Learning
• Computer Vision
• +3 more

Prof. Dr.-Ing. Cristóbal Curio is a Professor of Cognitive Systems at the Faculty of Informatics, Reutlingen University since 2014. He also serves as Prodekan for Research. His academic career includes roles at Max Planck Institute for Biological Cybernetics (2004-2013) and Ruhr-University Bochum. Research focuses on cognitive architectures, deep learning, and experimental methodologies applied to robotics, computer vision, and biomedical engineering. Key projects include EU-funded HEIDI and AIDA initiatives, and BMBF KI Delta Learning. Education: 1992-1998: Electrical Engineering and Computer Science degrees at Ruhr-University Bochum and Purdue University 1998-2003: PhD in Computer Science, Ruhr-University Bochum 2014: Habilitation, University of Tübingen Teaching: Courses include Cognitive Systems (Master's), Advanced Image Processing, and Applied Artificial Intelligence. Labs: Leads the Angewandte Künstliche Intelligenz and Ambient Assisting Cloud Lab . Research interests span cognitive systems, neural networks, and human-centric computing with applications in healthcare and autonomous systems. Active in EU and national research programs, publishing extensively on topics like robotic pose estimation, medical image analysis, and human-robot interaction.

Andreas RohlederView profile

Professor

• Digital Transformation
• Agile Learning
• Business Start-ups
• +3 more

Prof. Andreas Rohleder holds the Chair of Business Start-ups and Management at Technische Hochschule Bingen (TH Bingen), Department 2. He is concurrently CEO of Rohleder.Management.Consulting GmbH and founder of Rohleder.Business.Seminare. His academic roles include professorships at TH Bingen since 2015 and Ruhr University Bochum since 2018, alongside extensive consulting experience. Education: Abitur (1991), Industrial Clerk Training (1993), Business Administration Degree (1994-2000), PhD in Economics (2006) Research focuses on digital transformation in corporate management, agile learning methodologies, and business start-up ecosystems. He leads the THBIC project (digitizing teaching) and BTG project (startup support). Key teaching areas include financial management, taxation, project management, and corporate sustainability. His publications span Excel applications in business, tax law analysis, production optimization, and telecommunications network strategies. Awards include recognition for his doctoral thesis from the University of Münster's economics faculty. Active in academic governance: Departmental Council member, Examination Board member for multiple programs, and Substitute Senate member for startup initiatives. Runs popular training programs like 'Excel for Professionals' and 'Practical Project Management'.

• Computational Fluid Dynamics
• Turbulence
• Heat Transfer
• +3 more

Dr.-Ing. Denis Sotomayor-Zakharov is a postdoctoral researcher at the Institute of Fluid Mechanics, Faculty of Mechanical Engineering, Technische Universität Braunschweig. His work focuses on computational fluid dynamics (CFD), turbulence, and heat transfer, particularly in the context of aircraft icing and cooling systems for fuel-cell-powered aircraft engines. Research Interests : CFD, turbulence modeling, heat transfer, aircraft icing simulations, numerical analysis (LES/RANS), and development of the DICEPS software for ice accretion prediction. Projects : Involved in European initiatives like ICE GENESIS, HyMovDeIce, TRACES, and FAME. Collaborations with Airbus, DLR, and ONERA. Publication Trends : Recent articles emphasize LES/RANS comparisons, ice roughness modeling, and numerical methods for particle-laden flows. Key applications include aircraft safety and thermal management in aerospace systems. Collaborations : Active in interdisciplinary research with regional institutions such as DLR and Fraunhofer WKI. Supports international scientific exchange through EU-funded programs.

• Business Process Management
• Process Mining
• Automated Planning
• +3 more

Andrea Marrella is a researcher at Sapienza University of Rome, Italy, with extensive contributions to Business Process Management (BPM), Process Mining, and Automated Planning. His work bridges process modeling with AI integration, IoT, and human-computer interaction, focusing on adaptive cyber-physical systems and data-driven decision making. He has co-authored over 139 publications since 2008.

• Artificial Intelligence
• Building Information Modeling (BIM)
• Digital Twinning
• +6 more

Sarah Muehlhaus is a researcher at the Chair of Computing in Civil and Building Engineering at the Technical University of Munich . Her work focuses on gamification , augmented reality , and digital communication in urban planning contexts. Research fields include Building Information Modeling (BIM) , Digital Twinning , and Human-Computer Interaction Collaborates on interdisciplinary prototyping and AR interaction projects Publications (2017-2022) highlight her contributions to: Gamified urban planning participation 3D tangible interfaces for AR Digital communication in architectural design Interactive stakeholder engagement systems Teaching involvement includes courses on: Artificial Intelligence in Engineering BIM Fundamentals and Advanced BIM Computational Engineering Software development and databases

Aalok ThakkarView profile

Assistant Professor

• Programming Languages
• Formal Logic
• Artificial Intelligence
• +3 more

Aalok Thakkar is an Assistant Professor in the Department of Computer Science at Ashoka University, specializing in Programming Languages , Formal Logic , and Artificial Intelligence . He earned his Ph.D. in 2023 from the University of Pennsylvania , advised by Rajeev Alur and Mayur Naik. His research focuses on example-guided synthesis of relational queries , with applications in program verification, automated reasoning, and AI. Recent work includes the Mobius framework (OOPSLA 2023) and Relational Query Synthesis ⋈ Decision Tree Learning (VLDB 2023). Published in npj Digital Medicine (2021) on pandemic risk modeling Contributed to Natural Computing (2020) on Boolean network concurrency Workshop papers on synthesis algorithm complexity (SYNT 2022) and reactive systems (SYNT 2020) He was previously affiliated with Adobe Systems, Aptos Labs, Amazon AWS, and Bell Labs. Awards include the Alt Carbon Darjeeling Revival Fellowship . Teaching includes courses on Symbolic Logic , Rust programming , and Games on Graphs . He will host an IndiCS Seminar on Automated Synthesis in 2025.

Mayur NaikView profile

Professor

• Programming Languages
• Artificial Intelligence
• Neurosymbolic Programming
• +5 more

Mayur Naik is the Misra Family Professor in the Department of Computer and Information Science at the University of Pennsylvania’s School of Engineering and Applied Science. His research lies at the intersection of programming languages and artificial intelligence, with a current focus on neurosymbolic programming, trustworthy AI for healthcare, and AI-enabled software engineering tools. Education & Career: Ph.D. in Computer Science, Stanford University (2008) – advisor Alex Aiken M.S. in Computer Science, Purdue University (2003) – advisor Jens Palsberg B.E. in Computer Science, BITS Pilani (1999) Former faculty at Georgia Institute of Technology and researcher at Intel Labs, Berkeley Research Interests: Naik’s group develops languages, algorithms, and compilers for neurosymbolic programming, an emerging paradigm that unites symbolic reasoning with data-driven learning. Their flagship system is the open-source Scallop language and toolchain, applied to computer vision, cybersecurity, medicine, and bioinformatics. He also investigates AI-assisted programming tools that boost productivity and software quality by marrying traditional program analysis with modern machine learning. Recent Highlights: In 2024 he was named Misra Family Professor; his former student Elizabeth Dinella received the 2025 ACM SIGSOFT Outstanding Dissertation Award; his team released IRIS , an LLM-assisted static analysis framework for security vulnerabilities, and published the first comprehensive book on Neurosymbolic Programming in Scallop . Teaching: He regularly teaches CIS 5470 (Software Analysis) every Fall and CIS 5500 (Database Systems) every Spring, both of which are also delivered in Penn’s MCIT Online and Georgia Tech’s OMSCS programs. Advising & Service: Naik has graduated 8 Ph.D. students and mentored numerous postdocs and undergraduates; many alumni now hold faculty or research positions worldwide. He has served on organizing, program, and steering committees for premier venues such as PLDI, POPL, OOPSLA, SPLASH, ESEC/FSE, ISSTA, SAS, and others.

Mira MeziniView profile

Professor

• Software Engineering
• Programming Languages
• Distributed Systems
• +3 more

Mira Mezini is a Professor of Computer Science at Technical University of Darmstadt (TU Darmstadt), Germany. She leads the Software Technology Lab and is co-spokesperson for the Excellence Cluster Reasonable Artificial Intelligence . Mezini serves on the board of the National Research Center for Applied Cybersecurity ATHENE and co-directs hessian.AI, the Hessian Center for Artificial Intelligence. Her academic leadership includes past roles as Dean of Computer Science (2013-2014) and Vice President of TU Darmstadt (2014-2019). PhD in Computer Science, University of Siegen Assistant Professor, Northeastern University (USA) Visiting Professorships: Lancaster University (UK), Università della Svizzera Italiana (Switzerland) Research Interests : Mezini develops programming systems for reliable distributed software and AI, focusing on large-scale module concepts, adaptability, and extensibility. She creates intelligent software development environments leveraging web-based resources to automate programming rules and patterns. Her work spans automated API misuse detection , session types , and foundational code models . Scientific Contributions : Mezini has (co)authored over 200 peer-reviewed publications, including 15 recent representative works on: Modular multi-language analysis (2024) Secure distributed programming models (2023-2024) Effect systems for concurrency (2023) Reactive programming frameworks (2018-2024) Formal verification of cryptographic APIs (2018) Core languages for cloud computing (2016) ACM Fellow ERC Advanced Grant (2012) AITO Dahl-Nygaard Senior Prize (2025) Horst Görtz IT Security Award (2014, second prize) IBM Eclipse Innovation Awards (2005, 2006) Google Research Award (2017) Leadership : Mezini has chaired major conferences (OOPSLA, ECOOP, ICSE) and served on panels including the European Research Council Consolidator Grant, ACM SIGPLAN Executive Committee, and DFG Senate. She mentors through the SIGPLAN long-term program and contributes to DEI initiatives at conferences like SPLASH. Labs & Collaborations : Leads the Software Technology Lab at TU Darmstadt. Collaborates with institutions including EPFL (session types), ETH Zurich (language design), and Carnegie Mellon University (code analysis). Her teams focus on decentralized systems, API security, and programming language foundations.