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Johannes SchwenkelView profile

Researcher

• Boundary Layer Meteorology
• Atmospheric Modeling
• Fog and Cloud Physics
• +2 more

Dr. Johannes Schwenkel is a Researcher at the Institute of Meteorology and Climatology within the Faculty of Mathematics and Physics at Leibniz University Hannover. As a core member of the Boundary Layer Meteorology Research Group, he conducts advanced numerical studies of atmospheric boundary layer processes with particular expertise in radiation fog dynamics and microphysics. His research program centers on developing and applying large-eddy simulation (LES) techniques to investigate complex fog phenomena. Key contributions include novel splitting algorithms for collisional growth in Lagrangian cloud models, improved representations of fog microphysics through embedded modeling approaches, and analysis of fog's impact on diurnal boundary layer evolution. His work bridges observational studies from projects like ISOBAR with high-resolution modeling to advance fundamental understanding of boundary layer processes. Analysis of Dr. Schwenkel's publication record (2018-2022) reveals consistent methodological innovation in atmospheric modeling, particularly regarding fog and cloud microphysics. His research shows increasing collaboration through major international projects, with significant contributions to the PALM model system development and Arctic boundary layer observations. The work demonstrates strong integration of numerical techniques with physical process understanding, focusing on improving model representations of critical but challenging atmospheric phenomena. Dr. Schwenkel actively participates in collaborative research networks including the ISOBAR project for Arctic boundary layer studies and the Demistify international model intercomparison initiative. His work within the Boundary Layer Meteorology Research Group provides access to advanced computational resources for large-eddy simulations and connections to observational field campaigns, creating a robust environment for investigating complex atmospheric processes through both modeling and data analysis approaches.

Dennis KählerView profile

Researcher

• Mechatronics
• Electrical Engineering
• Hardware-in-the-Loop Simulation
• +4 more

Dennis Kähler is a Senior Researcher (Oberingenieur) at the Institute of Mechatronics in Mechanical Engineering (M-4) at Technische Universität Hamburg. His work focuses on 3D electrical impedance tomography (EIT) for real-time process parameter derivation and hardware-in-the-loop (HIL) simulation of automotive mechatronic components. He excels in programming (Python, C++, MATLAB), data visualization, and hardware-software integration. Education : Master and Bachelor in Mechanical Engineering/Energy Technology from Technische Universität Hamburg-Harburg Research Expertise : Modeling, measurement technology, signal filtering, FPGA development, and numerical methods His recent research includes multi-scale HIL simulations and real-time EIT systems , with applications in automotive and industrial processes. He has supervised numerous student theses in HIL simulation, motor modeling, and automotive electronics. Key labs involved: Haptics Lab , PHiLsLab (Power Hardware-in-the-Loop) , and Optics Lab .

Felix TrögerView profile

Researcher

• Process Automation
• Embedded Systems
• Electrical Measurement Technology
• +5 more

Felix Tröger is a researcher at the Institute for Process Automation and Embedded Systems (PAES) within the Faculty of Engineering at HTWK Leipzig . He is part of the Chair of Process Control and Automation under Prof. Dr.-Ing. Tilo Heimbold. Research areas: electrical measurement technology, circuit design, PCB design, software development, 3D printing, functional prototyping Involved in the EMEK 3D project (02/2021–02/2023) developing electrically conductive carbon yarn composites in collaboration with enspring GmbH Affiliated with the Faculty of Engineering’s focus areas: Advanced Materials, Process Automation & IIOT, Sensors & Signals, Smart Design & Simulation Contact: felix.troeger@htwk-leipzig.de

• Machine Learning
• Collaborative Robotics
• Software-driven Robotics
• +5 more

Daniel Bermuth is a Researcher at the Chair of Software Engineering within the Institute for Software & Systems Engineering at the University of Augsburg . His work focuses on the intersection of Machine Learning and Collaborative Robotics , with a particular emphasis on Software-driven Robotics and Automation . Education Master in Computer Science (2017-2020), University of Augsburg Bachelor in Computer Science (2014-2017), University of Augsburg Research Interests Development of AI-based safety mechanisms for human-robot collaboration Real-time human pose estimation using RGBD imaging and voxel fusion techniques Efficient spoken language understanding architectures via n-grams, tries, and finite state transducers Privacy-aware voice assistants operating in offline environments Fast speech-to-text models for multilingual applications Publications demonstrate expertise in Robotics , Artificial Intelligence , Computer Vision , and Natural Language Processing . Key subfields include Human-Robot Interaction , 3D Pose Estimation , Speech Recognition , Privacy-preserving AI , Efficient Parsing Algorithms , and Multilingual Language Models . Laboratory Works within the Institute for Software & Systems Engineering under Prof. Dr. Wolfgang Reif Active in developing software solutions for robotics and speech processing

Marlene LutzView profile

Researcher

• Language Model Compression
• Bias Mitigation
• Responsible Natural Language Processing
• +2 more

Marlene Lutz is a Researcher at the Chair of Data Science in the Economic and Social Sciences within the Business School at the University of Mannheim, Germany. She works under the supervision of Prof. Dr. Strohmaier and has been active in academic research since 2018. Her contact details include room 323 on the 3rd floor at L 15, 1–6, 68161 Mannheim, and her email: marlene.lutz@uni-mannheim.de. Her research focuses on responsible AI, fairness in algorithmic systems, and interpretability in natural language processing. M.Sc. Computer Science, RWTH Aachen University (2018–2021) Foreign Studies, Seoul National University, South Korea (2020) B.Sc. Computer Science, RWTH Aachen University (2014–2018) Her research interests span several critical areas in modern data science, including language model compression for resource efficiency, bias mitigation techniques in NLP systems, and the development of fair algorithmic ranking frameworks. She also specializes in interpretable word embeddings that enhance transparency in language models, aligning with the broader goals of responsible AI and ethical computational methods. Marlene has contributed to publications in both computational social science and health informatics domains. Her 2025 paper on group fairness measures for rankings demonstrates her focus on fairness evaluation metrics, while her 2022 work on clinical guideline visualization showcases interdisciplinary applications of data science. She has taught multiple Master's level courses at the University of Mannheim since 2022, including Text Analytics, Network Science, and Data Science seminars. These courses emphasize practical implementation of computational methods in information systems and social computing contexts.

Denis ArtiukhinView profile

Researcher

• Theoretical Chemistry
• Quantum Chemistry
• Computational Chemistry
• +3 more

Dr. Denis Artiukhin is a researcher at the Institute of Chemistry and Biochemistry within Freie Universität Berlin , where he leads the Artiukhin Group. His work focuses on theoretical chemistry, quantum chemical methods, and computational modeling of molecular systems. Research Areas: Theoretical Chemistry, Quantum Chemistry, Computational Chemistry, Physical Chemistry, Photochemistry, and Chemical Physics. Key Contributions: Development of quantum chemical software (gmx2qmmm), subsystem density functional theory, frozen-density embedding methods, and studies on proton-coupled electron transfer and potential energy surfaces. Publications: Recent work includes method development for quantum simulations, spin-density calculations in photosynthetic systems, and applications to hydrogen bonding and catalytic processes. Contact: denis.artiukhin@fu-berlin.de

Ivo BoblanView profile

Professor

• Bionic Robotics
• Human-Robot Interaction
• Pneumatic Actuators
• +7 more

Prof. Dr.-Ing. Ivo Boblan holds a professorship at the Berlin University of Technology within the Department of Electrical Engineering . He leads the Compliant Robotics Lab (CoRoLab) and teaches modules in Cognitive Robotics , Pneumatic Robotics , Soft Robotics , and Bionics . His research focuses on biologically inspired robotics, human-robot interaction, and compliant actuator systems. Key research themes include: Development of bionic robotic systems like ZAR5 and BROMMI-TAK Integration of pneumatic muscles and fluidic actuators Biologically motivated control systems for compliant robotics Applications in rehabilitation devices and exoskeletons Human-robot interface design with variable stiffness Exploration of anthropomorphism and ethics in robotics His work emphasizes interdisciplinary collaboration across robotics, bionics, and human factors, with significant third-party funding exceeding €8.9 million. He actively contributes to international conferences and standardization efforts in bionic robotics.

Dirk MüllerView profile

Professor

• Real-time systems
• Scheduling
• Software Engineering
• +5 more

Dirk Müller is a Professor of Software Technology/Operating Systems at the Faculty of Computer Science/Mathematics, Dresden University of Applied Sciences (HTW Dresden). He has been in this position since 2016 and is an active member of the Faculty Council since June 2021. He was awarded IEEE Senior Member status in April 2023. His academic journey includes a doctorate in Engineering from the University of Kassel in 2006, habilitation at Chemnitz University of Technology in 2014, and prior research positions at Philipps University of Marburg and Florida State University. 1995-2002: Studies in Medical Informatics at University of Leipzig 2003-2006: Research Assistant/Doctoral Student at University of Kassel 2006-2008: Research Associate at Philipps University of Marburg 2008-2014: Academic Councillor at Chemnitz University of Technology 2014-2016: Private Lecturer at TU Chemnitz 2016-present: Professor at HTW Dresden Professor Müller's research focuses on real-time systems and scheduling, model-driven software development, digitalization in companies and administration, and the concept of information. His work particularly emphasizes Rust language applications in software engineering. He has published extensively on real-time scheduling algorithms, mixed-criticality systems, and embedded systems. His teaching responsibilities include Operating Systems I, Software Engineering I & II, Model-Driven Software Development, and Programming in Rust. His publication record shows a consistent focus on real-time systems, with a clear progression from theoretical scheduling algorithms to practical implementations. His recent work has expanded into public administration digitization and biometric conference systems, while maintaining his core expertise in scheduling theory. The publications demonstrate strong international collaboration, particularly with researchers like Matthias Werner, Alejandro Masrur, and Robert Baumgartl. IEEE Senior Member (2023) Erdős number: max. 4 Strict Erdős number: max. 5 Professor Müller actively supervises student theses, with over a dozen bachelor's and diploma theses completed between 2023-2025. His students work on diverse topics including Rust programming, workflow automation, user experience optimization, and real-time event processing. He serves as a reviewer for multiple prestigious journals including IEEE Transactions on Parallel and Distributed Systems, Real-Time Systems, and The Computer Journal. He also acts as Senior Editor for Computer Science Books at Versita. His laboratory work focuses on practical implementations of real-time systems, often using Raspberry Pi as a platform for traffic analysis and other embedded applications. His research group maintains strong connections with industry, as evidenced by the applied nature of student projects at companies like IntraConnect GmbH.

Johannes PfauView profile

Researcher

• FPGA Architecture
• Reconfigurable Computing
• Digital Beamforming
• +3 more

Dr. Johannes Pfau serves as a Scientific Assistant at the Institute for Information Processing Technology (ITIV) within Karlsruhe Institute of Technology (KIT), working in Prof. Becker's research group. His position combines postdoctoral research in advanced FPGA architectures with teaching responsibilities including System-on-Chip internships and academic advising for specialized engineering tracks. Education: Doctorate (Dissertation) in Electrical Engineering and Information Technology, Karlsruhe Institute of Technology, 2024 Research Interests: Pfau's work centers on reconfigurable computing with three interconnected pillars: (1) Next-generation FPGA architectures using emerging technologies like RFETs that require fundamental toolchain redesigns; (2) Digital beamforming systems for satellite Earth observation that replace analog processing with FPGA-based solutions to enable on-orbit data compression; and (3) High-throughput data acquisition systems for 6G prototyping handling multi-100Gbps streams through RFSoC platforms. His research bridges semiconductor physics, hardware architecture, and practical applications in communications and remote sensing. Publication Trends: Pfau's 15 most recent publications (2021-2024) reveal a strong focus on practical FPGA implementations addressing real-world constraints. His work increasingly integrates power management (7 papers), 6G infrastructure (5 papers), and novel semiconductor technologies (4 papers), with a clear trajectory toward hardware solutions for satellite communications and next-generation wireless systems. The research demonstrates consistent progression from architectural innovations (RFET, V-FPGAs) to applied systems (beamforming, 6G testbeds). Advising and Mentorship: Pfau maintains an active student supervision portfolio with documented guidance of 7+ Bachelor's and Master's theses since 2021. His projects emphasize hands-on hardware development, spanning power management techniques, beamforming filter design, and prosthetic control systems. The academic advising role for specializations 13 and 21 positions him at the intersection of computer science and electrical engineering education. Research Context: As a core member of Prof. Becker's group at ITIV, Pfau contributes to KIT's leadership in reconfigurable systems research. The group maintains strong industry connections through 6G initiatives and satellite technology development, with Pfau's work directly supporting German and European efforts in secure communications infrastructure and Earth observation systems.

Pooja AryaView profile

Researcher

• Electronic Devices
• Electronic Systems
• Semiconductor Engineering
• +1 more

Dr. Pooja Arya is a doctoral-qualified researcher at Karlsruhe Institute of Technology (KIT) specializing in Electronic Devices and Systems within the Research Unit Aghassi. She holds the German engineering doctorate title (Dr. Ing.) and maintains dual affiliations with KIT and Quantica Gmbh. Her research focuses on: Microelectronic component design Integrated circuit systems Semiconductor device physics Hardware-software co-design As an active researcher in electronic engineering, she contributes to KIT's technical research ecosystem while maintaining industry connections through Quantica Gmbh. Her work bridges academic research and commercial applications in electronic systems development.

• Machine Learning in Computational Chemistry
• Theoretical Chemistry
• Excited-State Molecular Dynamics
• +10 more

Junior Professor Dr. Julia Westermayr leads the Theoretical Chemistry of Materials Design group at the Wilhelm-Ostwald-Institute for Physical and Theoretical Chemistry (Leipzig University). Her interdisciplinary research bridges machine learning , quantum chemistry , and materials science to advance molecular simulations and reaction mechanism discovery. Academic rank: Assistant Professor (Junior Professor) Research focus: AI-driven excited-state dynamics, interatomic potentials, CO₂ conversion, and photocatalysis Key collaborators: Bell Flavors & Fragrances GmbH, ScaDS.AI, TU Berlin, University of Vienna Her team develops transferable ML models for nonadiabatic molecular dynamics , enabling long-timescale simulations of photodriven processes at metal surfaces and solvent environments . Recent work includes equivariant neural networks for UV absorption spectra and generative AI for molecular design . The group actively trains PhD students like Daniel Bitterlich, Peter Fichtelmann, and Robin Curth, while hosting international researchers from institutions like Bologna and Vienna. Research trends span Computational Chemistry (15/15 articles), with subfields including Excited-State Nonadiabatic Dynamics , Interatomic Potential Modeling , Photochemistry , Semiconductor Design , Reaction Mechanism Discovery , and ML-Augmented Quantum Simulations . The group participates in major scientific collaborations (DFG Cluster of Excellence, ScaDS.AI) and industry partnerships (Bell Flavors & Fragrances GmbH). They host regular research stays (e.g., Sascha Mausenberger from Vienna) and student internships , while maintaining active presence at conferences like PsiK2025 .

Steffen HelkeView profile

Professor

• Software Engineering
• IT Security
• Functional Software Security
• +3 more

Prof. Dr.-Ing. Steffen Helke serves as a full Professor in the Department of Electrical Engineering & Information Technology at University of Applied Sciences Südwestfalen. His academic roles include Senate membership, evaluation officer for the department, program coordinator for Media Informatics, and spokesperson for the GI Specialist Group Automotive Software Engineering. Current affiliations span committee work in electrical engineering bachelor programs and leadership in safety-critical software research. His research focuses on functional software security , safety-critical system verification , and model-based quality assurance . Key areas include information flow control languages, automotive software security, hierarchical statechart validation, and requirements delta analysis for efficient development estimation. Methodologies emphasize formal verification, static analysis, and tool-supported refactoring to ensure robustness in embedded systems. Teaching encompasses advanced courses in Software Engineering, IT Security, Ethical Hacking, and Competitive Programming. Thesis supervision occurs in research areas like NLP-based requirements analysis, refactorings for security languages (Jif), and model checking for Statecharts. Industrial collaborations facilitate project/bachelor theses with real-world security applications. Research trends from publications show consistent focus on bridging formal methods with industrial software development. Dominant disciplines include Software Engineering (72% of works) and Formal Verification (58%), with emerging subfields like NLP-assisted requirements engineering (2019) and automotive security frameworks. Keyword analysis reveals sustained emphasis on verification (100% of works), security (80%), and automotive applications (40%). Administrative contributions include leadership in the combined Electrical Engineering bachelor program and active participation in university governance through department councils. Tools developed in his research (e.g., Delta Analyzer, R2BC) are integrated into curricula using ReqView, Matlab/Simulink, and Enterprise Architect for systematic requirement engineering and UML modeling.

Tevfik BultanView profile

Professor

• software verification
• program analysis
• software engineering
• +1 more

Tevfik Bultan is a Professor and Chair of the Department of Computer Science at the University of California, Santa Barbara. His research focuses on software verification, program analysis, software engineering, and computer security. He directs the Verification Laboratory (VLab) and has authored over 100 refereed publications. Education Ph.D. in Computer Science, University of Maryland, College Park (1998) M.S. in Computer Engineering, Bilkent University (1992) B.S. in Electrical Engineering, Middle East Technical University (1989) Research Focus Bultan's work spans automated verification techniques, security vulnerability detection, quantitative program analysis, and symbolic execution. His lab develops tools for analyzing software systems with applications in cloud security, network protocols, and embedded systems. Awards and Honors ACM Distinguished Scientist (2016) NSF CAREER Award (2000) UCSB Outstanding Graduate Mentor Award (2016) ACM SIGSOFT Distinguished Paper Awards (2005, 2014) NATO Science Fellowship (1993) Professional Activities He has chaired program committees for top conferences including ICSE, FSE, and ASE. Currently serves as associate editor for ACM TOSEM and on steering committees for ISSTA, ASE, and ICSE. Regularly advises PhD students and postdoctoral researchers in verification and security. Laboratory Leads the Verification Laboratory (VLab) focusing on automated reasoning techniques for software systems. Current projects include symbolic analysis for vulnerability detection, quantitative information flow, and security policy verification.

Wing-Kwong ChanView profile

Associate Professor

• Software Engineering
• Deep Learning
• Blockchain Systems
• +4 more

Wing-Kwong Chan is an Associate Professor in the Department of Computer Science at City University of Hong Kong. With a background that includes industry experience as a software engineer, Dr. Chan returned to academia and has established himself as a leading researcher in software engineering with a focus on emerging technologies. Dr. Chan received his BEng, MPhil, and PhD all from The University of Hong Kong. His academic journey began with a hardware-oriented Computer Engineering degree before shifting to software engineering for his graduate studies. His research interests center on software engineering, particularly the technical aspects interfacing with machine learning, blockchain, and GPU technologies. He addresses challenges in program analysis and concurrency, with recent work focusing on deep learning model verification and robustness. His publications span top venues including TOSEM, TSE, ICSE, ESEC/FSE, and ASE. Dr. Chan's recent publications demonstrate a strong trend toward integrating software engineering principles with deep learning systems, particularly in verification, testing, and robustness of AI models. His work bridges theoretical software engineering concepts with practical applications in emerging technologies. Best Paper Award from COMPSAC'04 Best Paper Award from COMPSAC'08 Best Paper Award from COMPSAC'10 Best Paper Award from QSIC'11 Best Paper Award from QRS'16 Best Paper Award from ISET'18 CityU President's Award 2017 Dr. Chan has successfully advised numerous PhD and MPhil students, with alumni dating back to 2006. He has secured substantial research funding through multiple Hong Kong Research Grants Council projects, ITF grants, and international collaborations. His current research focuses on patch robustness certification for deep learning models, reflecting his ongoing commitment to advancing software engineering practices for emerging technologies. As Program Leader for the MSc in E-Commerce program from the CS Department, Dr. Chan also contributes significantly to academic administration and curriculum development at City University of Hong Kong.

Zhen DongView profile

Associate Professor

• Software Reliability
• Software Security
• Mobile Computing
• +4 more

Zhen Dong is an Associate Professor at Fudan University, China, specializing in software engineering with a focus on software reliability and security, particularly in mobile computing. Previously, he was a PostDoc and Senior Research Fellow at the National University of Singapore under the guidance of Abhik Roychoudhury. His educational background includes: PhD in Computer Science from Heidelberg University (2017), advised by Prof. Artur Andrzejak Dr. Dong's research centers on developing techniques and tools for improving software reliability and security. His work spans mobile application testing, Android security, flaky test detection, and vulnerability localization. He has made significant contributions to the field of software testing and analysis, with a particular emphasis on practical applications for mobile systems. His research bridges theoretical foundations with real-world software engineering challenges. Analysis of Dr. Dong's recent publications reveals a strong focus on leveraging AI/ML techniques for software engineering tasks, particularly using LLMs for test automation and program analysis. His work consistently addresses critical challenges in mobile computing, especially Android application reliability and security. There's a clear trajectory toward more sophisticated analysis techniques, from traditional testing methods to AI-driven approaches. His notable scientific achievements include: ACM Distinguished Paper Award at ICSE'20 Best Paper Award at AsiaCCS'21 (1/370 submissions) ASE'22 Distinguished Reviewer Award Dr. Dong serves on the Board of Distinguished Reviewers for ACM Transactions on Software Engineering and Methodology and has been an active member of numerous program committees for top software engineering conferences including ICSE, ASE, and ISSTA. His service to the academic community extends to reviewing for prestigious journals such as IEEE Transactions on Software Engineering and Methodology and ACM Transactions on Software Engineering and Methodology. His research has been supported through various academic channels, enabling him to maintain an active lab focused on software testing and analysis, particularly for mobile platforms. The lab has produced numerous tools and techniques that have influenced both academic research and industrial practice in software reliability.