Prof. Dr.-Ing. Bernd Nolting is a faculty member at the Bochum University of Applied Sciences , where he has served since 1996 as Professor of Urban Water Management. He was Dean of the Department of Civil and Environmental Engineering from 1999–2005. His career spans international projects in Germany (Düsseldorf, Regensburg, etc.), India, Palestine, China, Russia, Romania, and Bulgaria. Education: Dipl.-Ing. in Civil Engineering (specializing in Urban Water Management, Hydrology, Hydraulic Engineering) from Technical University of Hanover Doctorate: Ruhr University Bochum His research focuses on wastewater drainage systems , sewer network calculations , rainwater infiltration , and water-sensitive urban planning . He specializes in addressing urban flash floods , rehabilitation of water supply networks , and hydraulic optimization of drainage systems . Publications from 1988–2009 reveal expertise in membrane bioreactors , nutrient removal (nitrogen, phosphorus), stormwater management , and cost-effective wastewater solutions . Key themes include biological and chemical treatment interactions , filtration systems , and sustainable urban infrastructure .
Professor Kathrin M. Möslein holds the Chair of Business Information Systems, specializing in Innovation and Value Creation at Friedrich-Alexander University Erlangen-Nürnberg (FAU). She has been Vice President of FAU since 2016 and has held her professorship since 2007. Previously, she served as Chair of Strategic Management and Organization at HHL Leipzig Graduate School of Management. She is an active academic leader, having served as President of the European Academy of Management (EURAM) and holding significant roles in academic governance. Her research spans strategic innovation, cooperation, leadership, and their IT support within companies, with particular emphasis on digital transformation and Industry 4.0 applications. Her work demonstrates strong interdisciplinary connections between business administration, information systems, and engineering disciplines, reflecting her dual background in computer science and economics. Professor Möslein's recent publications reveal a consistent focus on practical applications of digital technologies in business contexts, particularly examining innovation ecosystems, smart manufacturing, and service systems engineering. Her work bridges theoretical frameworks with real-world business challenges, often incorporating stakeholder perspectives and practical implementation considerations. She maintains significant academic leadership roles including membership in the permanent commission 'Transfer and Cooperation' of the German Rectors' Conference, the board of the Leipzig Foundation for Innovation and Technology Transfer, and as research professor and member of the management of the Center for Leading Innovation & Cooperation (CLIC) at HHL.
Prof. Dr.-Ing. habil. Robert Böhm is a faculty member at the Faculty of Engineering , Leipzig University of Applied Sciences (HTWK Leipzig) , where he holds the Professorship for Lightweight Construction with Composite Materials . His research focuses on sustainable composite material applications, structural health monitoring, and additive manufacturing technologies. Key projects: EuReCOMP (circular economy for composites), SoKoROMed (soft robotics in medicine), and PRINTCAP (3D-printed structural supercapacitors). Active in EU clusters like Essence and Carbon Fibres & Advanced High Performance Composites . Leads the Composite Circularity Lab and Advanced Materials and Structures Lab , collaborating with institutions like York University and TU Dresden. His work bridges lightweight construction with applications in renewable energy, medical devices, and CO2-free mobility systems. He presented at the 2025 Intec Trade Fair in Leipzig, showcasing innovations like rotor blade-repurposed seating and noise-dampening 3D-printed components. The 15 most recent publications emphasize wind turbine blade recycling, structural supercapacitors, 3D-printed composites, and environmental impact assessments. Articles span 2022-2025, with keywords covering materials science, mechanical engineering, and renewable energy.
Prof. Dr. Sven-Erik Behrens serves as a Professor in the Department of Microbial Biotechnology at the Faculty of Natural Sciences I of Martin Luther University Halle-Wittenberg. He is affiliated with the Protein Research Center 'Charles Tanford' and maintains an active research program focused on RNA biology, molecular virology, and biotechnological applications. His primary research interests encompass RNA-based plant protection strategies, viral replication mechanisms (particularly for flaviviruses and plant viruses), and innovative vaccine development using Kluyveromyces lactis yeast expression systems. Behrens' work investigates fundamental RNA-protein interactions, RNA chaperone activities, and the molecular basis of antiviral defense mechanisms in plants. His laboratory explores how RNA accessibility influences viral replication and how this knowledge can be harnessed for developing novel RNA-based antiviral strategies. Analysis of his recent publications (2021-2025) reveals a clear research trajectory focused on identifying accessible RNA sites for targeted antiviral applications, optimizing yeast-based vaccine platforms for both plant and animal pathogens, and investigating the role of non-coding RNAs in plant development and stress responses. His work spans multiple disciplines including plant virology, medical virology, and microbial biotechnology, demonstrating translational research from basic molecular mechanisms to practical applications. Prof. Behrens leads research in the Department of Microbial Biotechnology, collaborating with various groups working on plant-pathogen interactions and vaccine development. His laboratory employs advanced techniques including RNA structure probing, fluorescence-based assays for RNA chaperone activity, and plant in vitro systems for studying viral replication. The research demonstrates significant potential for developing novel approaches to combat viral diseases in both agricultural and medical contexts.
Andreas Lemmer serves as a Privatdozent (equivalent to Associate Professor) at the University of Hohenheim, where he holds a scientific staff position at the State Institute for Agricultural Engineering and Bioenergy. He actively teaches core courses including Fundamentals of Agricultural Engineering, Process Technology of Biogas Production and Utilization, and Project Design of Plants for Renewable Resources for the upcoming Winter Semester 2025/26. His research centers on advancing bioenergy systems through biogas optimization and renewable fuel production. Key focus areas include enhancing methane yield from challenging feedstocks like horse manure using mechanical pretreatment, developing machine learning models for anaerobic digestion stability prediction, and creating resource-efficient bio-LNG production chains. His work bridges agricultural engineering, environmental technology, and sustainable resource management with strong practical implementation in full-scale biogas facilities. Lemmer's recent publications demonstrate a clear trajectory toward industrial-scale bioenergy solutions, particularly in integrating agricultural residues into circular economy models and optimizing process economics for grassland biomass utilization. His work consistently addresses real-world implementation challenges in biogas technology and renewable fuel production chains. He leads significant research initiatives including the Hohenheimer Biogasforum 2023 and industrial research projects on bio-LNG/CNG production chains for bus operations using manure and organic residues. Current projects focus on resource-efficient bio-LNG production processes developed in collaboration with the State Institute for Agricultural Engineering and Bioenergy and the Field of Agricultural Engineering in the Tropics and Subtropics.
Prof. Dr.-Ing. Werner Homberg is Chair holder and Vice Dean at the Faculty of Mechanical Engineering, University of Paderborn. He leads Subproject C03 "Forming and Machining Technology" within Collaborative Research Center Transregio 285 and serves as Dean of Research at the Institute for Lightweight Construction with Hybrid Systems (ILH). Research focus areas: Deep drawing process optimization with intrinsic lubrication Modular 3D roller straightening systems for spring steel wires Forming-based manufacturing of lightweight joining elements Tool life improvement in thermomechanical forming Flow forming of metastable austenitic steel with phase transformation monitoring Recent publications demonstrate expertise in advanced forming technologies, hybrid material processing, and sensor-based monitoring systems. His work addresses both theoretical process understanding and practical implementation for sustainable manufacturing solutions. Contact: wh@luf.uni-paderborn.de | Office: Pohlweg 53, 33098 Paderborn | Space: IW1.801
Professor Friedrich Simmel (*1970) holds the Chair of Physics of Synthetic Biosystems at the Technical University of Munich (TUM) within the TUM School of Natural Sciences, Department of Bioscience. His research laboratory is located at Am Coulombwall 4a in Garching near Munich, where he leads a vibrant research group focused on the physics of synthetic biological systems. Professor Simmel's research interests center on bionanotechnology, particularly artificial molecular machines and nanostructures made from DNA molecules, as well as the design of artificial biochemical control circuits. His work bridges physics, chemistry, and biology to create novel synthetic biosystems with programmable functions. Key research areas include DNA origami, DNA nanotechnology, synthetic gene circuits, and biomimetic systems. His recent publications demonstrate a strong trend toward increasingly complex DNA-based nanodevices with applications in biosensing, nanomedicine, and synthetic biology. The research shows progression from fundamental DNA nanostructure design to functional systems with practical applications in diagnostics and biocomputation. His group has pioneered approaches for creating DNA-based nanorobots, synthetic membrane channels, and programmable biochemical oscillators. ERC Advanced Grant (2015) Human frontier science program (HFSP) young investigator award (2006) Emmy Noether Young Researcher of the German Research Foundation (2002) acatech - the German Academy of Science and Engineering (2013) Professor Simmel actively mentors numerous students and junior researchers, as evidenced by the many co-instructors listed on his practical courses. His research has been supported by prestigious grants including the ERC Advanced Grant. His laboratory maintains strong collaborations across disciplines, working with researchers in microfluidics, synthetic biology, and biomedical engineering. The group operates within TUM's advanced infrastructure for biophysics and nanotechnology, including facilities for electron microscopy, NMR spectroscopy, and X-ray crystallography.
Prof. Dr.-Ing. Zerrin Harth serves as Professor of Mathematics within the Faculty of Mechanical Engineering at RWU Ravensburg-Weingarten University of Applied Sciences. She holds critical administrative roles including Head of the Practice Office, QM Officer, and Equal Opportunities Officer, directly supporting academic operations and student-industry integration for mechanical engineering programs. Her research expertise centers on applied mathematical methodologies for engineering systems, with emphasis on computational techniques and numerical analysis. These disciplines enable rigorous modeling of mechanical processes, bridging theoretical mathematics with practical engineering solutions in areas such as fluid dynamics and structural mechanics. As Head of the Practice Office, Prof. Harth oversees mandatory internships and industry placements for students, managing partnerships with technical enterprises. Her dual roles in quality management and equal opportunities demonstrate institutional leadership in educational standards and inclusive academic practices within the engineering faculty.
Peter Massopust is a Privatdozent at the Technical University of Munich (TUM), where he is affiliated with the School of Computation, Information and Technology and the Department of Mathematics. His research spans multiple areas of mathematical analysis with a focus on fractal geometry, wavelet theory, and approximation methods. His educational background includes: Habilitation in 2011 from Technical University of Munich Ph.D. in Applied Mathematics from Georgia Institute of Technology (1986) MS in Mathematics from Georgia Institute of Technology (1985) MS in Physics from Georgia Institute of Technology (1981) Dr. Massopust's research interests primarily focus on Wavelets and Frames, Harmonic and Functional Analysis, Fractal Geometry and Fractal Interpolation Theory, and Splines and Approximation Theory. His work bridges theoretical mathematics with practical applications in signal processing, image analysis, and computational methods. His approach often combines classical mathematical techniques with innovative fractal-based methods to solve complex problems in approximation theory and functional analysis. His research has significantly contributed to the development of fractal interpolation functions, complex splines, and wavelet theory, with applications spanning from pure mathematics to engineering problems. His publication record demonstrates a consistent focus on fractal-based mathematical methods, with recent work expanding into quaternionic analysis, complex B-splines, and applications in signal processing. His research shows a clear trajectory from foundational work in fractal geometry to increasingly sophisticated applications in multidimensional signal analysis and computational mathematics. His scientific achievements have been recognized through several prestigious awards: Fulbright Scholarship (1980-1981) GIAN (Global Initiative for Academic Network) Award from the Republic of India (2016, 2017) Dr. Massopust has secured substantial research funding from various national and international sources, including the German Research Foundation (DFG), Bayerische Forschungsallianz, VolkswagenStiftung, and collaborations with Sandia National Laboratories and the National Science Foundation. His research program has consistently focused on advancing mathematical methods for signal and image processing, with particular emphasis on fractal-based approaches and wavelet theory. He has also been instrumental in fostering international collaborations, particularly through the EuroTech network and with institutions in Australia and India. Among his notable contributions is the GHM (Geronimo-Hardin-Massopust) Scaling Vector and DGHM (Donovan-Geronimo-Hardin-Massopust) Multiwavelet, developed at the Georgia Tech Research Institute in 1995. This work has had significant impact in the field of wavelet analysis and its applications.
Yuhong Nan is an Associate Professor in the School of Software Engineering at Sun Yat-sen University, China, specializing in software security and privacy leakage analysis for emerging platforms including IoT, mobile systems, and blockchain. Previously a Post-doctoral Research Associate at Purdue University under Prof. Dongyan Xu, she builds practical security tools to detect and mitigate vulnerabilities in real-world systems. Dr. Nan earned her PhD from Fudan University in 2018 supervised by Prof. Min Yang. Her academic journey spans rigorous research in security engineering with emphasis on empirical validation and tool development for complex platform ecosystems. Her research program focuses on uncovering systemic security flaws through innovative analysis techniques. Key contributions include vulnerability detection in smart contracts (e.g., state dependencies, reentrancy), privacy leakage analysis in mobile/IoT ecosystems, and countermeasures against deceptive UI patterns. She employs hybrid approaches combining static/dynamic analysis, machine learning, and large-scale empirical studies to develop deployable security solutions. Analysis of her 15 most recent publications (2023-2025) reveals dominant themes in blockchain security (60%), particularly smart contract/DApp vulnerabilities, with significant work in mobile privacy (30%) and cross-platform threats (10%). Her methodology consistently leverages fine-grained static analysis, semantic enrichment, and feedback-driven fuzzing, yielding tools like SmartAxe and Midas that have influenced industry practices. Dr. Nan actively mentors graduate researchers with 17 advisees including Tencent-employed graduates, and serves as a trusted reviewer for premier journals (IEEE TDSC, TMC, TOPS) and conference committees (ASIACCS, ICICS). Her leadership in security communities bridges academic research with practical defense mechanisms. At Sun Yat-sen University, she directs a high-output research group that collaborates with industry partners to address evolving threats in decentralized systems, maintaining her position among top publishing authors in USENIX Security, CCS, and NDSS venues through rigorous technical innovation.
Claire Le Goues is a Professor of Computer Science at Carnegie Mellon University, primarily affiliated with the Software and Societal Systems Department (S3D) within the School of Computer Science (SCS). She serves as the Associate Department Head for Faculty within S3D and leads the squaresLab research group. Le Goues also co-directs the REUSE@CMU summer program and teaches software engineering and program analysis at undergraduate, master's, and PhD levels. Her research spans software engineering and programming languages, with a particular focus on how to construct, maintain, evolve, improve/debug, and assure high-quality software systems. Le Goues has made significant contributions to automated program repair, program analysis, and defect detection. Her work often bridges theoretical foundations with practical applications, addressing real-world challenges in software development and maintenance. Le Goues' recent publications demonstrate a clear trend toward integrating large language models and generative AI with traditional software engineering techniques. Her research examines how these technologies can enhance program repair (BatFix, AdverIntent-Agent), vulnerability detection (Interpretable Vulnerability Detection Reports), and testing (LWDIFF for WebAssembly). This represents an evolution from her earlier foundational work in program repair (GenProg) toward leveraging contemporary AI advancements. She has mentored numerous students through her squaresLab research group and has been instrumental in developing educational programs that prepare the next generation of software engineers. Le Goues is also known for her advocacy for double-blind review processes in academic conferences, having implemented this approach when co-chairing the Symposium for Search-Based Software Engineering in 2014.
Jinqiu Yang is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Canada. Her research focuses on improving software reliability and quality assurance, particularly in the context of machine learning systems and autonomous vehicles. She leads active research projects in software testing, automated program repair, and mining software repositories, with strong connections to both academic and industrial applications. Her research interests span software reliability, quality assurance of machine learning systems including autonomous vehicles, software testing, automated program repair, text analytics of software artifacts, and mining software repositories. She has developed novel approaches for testing deep learning libraries, evaluating robustness in autonomous driving systems, and tracking the evolution of static code warnings. Her work bridges traditional software engineering with emerging challenges in AI systems, addressing critical issues of reliability and safety in complex software environments. Yang's recent publications (2021-2025) demonstrate a clear trajectory toward AI/ML system reliability, with increasing focus on autonomous vehicles, concept drift detection, and security aspects of large language models. Her work spans both theoretical foundations and practical applications, often involving empirical studies of real-world systems and development of practical tools to address identified challenges. ACM SIGSOFT Distinguished Paper Award Dr. Yang actively mentors graduate students and is currently recruiting Master's and PhD candidates. She has secured significant research funding including NSERC Discovery Grants (2019-2025), Gina Cody Research and Innovation Fellowship (2024-2026), and participation in the NSERC CREATE Program SE4AI (2021-2026). Her research is supported by multiple grants including NOVA – FRQNT-NSERC PROGRAM (2024-2027) and Volt-Age Seed Grant (2024-2026). She leads research in the O-RISA Lab at Concordia University, focusing on reliability and security aspects of intelligent software systems. Her team collaborates with industry partners including IBM, where she previously worked at IBM Watson Research Lab and IBM CAS, bringing practical experience to her academic research.
Naoki Shida is an Associate Professor in the Department of Functional Creation at the Graduate School of Engineering, Yokohama National University. He also holds a concurrent position as a JST PRESTO Researcher. His academic journey began with a BS from Yokohama National University, followed by MS and PhD degrees from Tokyo Institute of Technology, where he specialized in bipolar electrochemistry. He has held postdoctoral positions at Tokyo University of Agriculture and Technology, California Institute of Technology, and worked as a specially appointed assistant professor before joining Yokohama National University. Dr. Shida's educational background includes: BS, Yokohama National University, School of Engineering (2011) MS, Tokyo Institute of Technology, Graduate School of Science and Engineering (2013) PhD, Tokyo Institute of Technology, Graduate School of Science and Engineering (2016) Dr. Shida's research focuses on organic electrosynthesis and electrocatalysis, with particular expertise in flow electrochemistry, bipolar electrochemistry, and polymer electrochemistry. His work bridges fundamental electrochemical principles with practical applications in sustainable chemistry. His research group develops innovative electrochemical methodologies for organic synthesis, with emphasis on green and sustainable approaches that minimize waste and energy consumption. The team specializes in designing novel electrochemical reactors, particularly flow microreactors and membrane-based systems, to enable efficient and selective transformations. Analysis of Dr. Shida's recent publications reveals a strong focus on electrocatalytic hydrogenation processes, particularly for nitrogen-containing heterocycles like pyridines and quinolines. His work also explores the development of novel electrochemical methodologies for C-C and C-N bond formation, as well as the creation of advanced electrochemical reactors using solid polymer electrolytes. A significant portion of his research addresses the fundamental understanding of electrolyte effects on electrochemical reactions, aiming to develop rational design principles for electrolyte systems. Dr. Shida has received numerous prestigious awards recognizing his contributions to electrochemistry, including: Young Scientists Award from the Minister of Education, Culture, Sports, Science and Technology Electrochemical Society Business Creation Pitch Contest Grand Prize Progress Award from the Chemical Society of Japan Electrochemical Society Progress Award Sano Prize Electrochemical Society Best Paper Award As a mentor and researcher, Dr. Shida leads multiple significant research projects funded by the Japan Society for the Promotion of Science, including grants for developing innovative molecular transformation processes based on solid polymer electrolyte electrolysis technology and green catalytic reactions using electrochemically generated main group element radical cations. His collaborative work spans multiple institutions and disciplines, reflecting the interdisciplinary nature of modern electrochemistry research. Dr. Shida's laboratory at Yokohama National University focuses on developing next-generation electrified organic synthesis methods, with particular attention to reactor design, catalyst development, and fundamental mechanistic understanding of electrochemical transformations. The group actively collaborates with researchers across Japan and internationally to advance the field of electrochemical synthesis.
Baishakhi Ray is an Associate Professor of Computer Science at Columbia University, working at the intersection of AI, Software Engineering, and Security. She received her Ph.D. from the University of Texas, Austin, and has established herself as a leading researcher in applying artificial intelligence to software engineering challenges. Her educational background includes a Ph.D. from the University of Texas, Austin, which provided the foundation for her research career at the forefront of AI and software engineering. Dr. Ray's research focuses on leveraging artificial intelligence to solve fundamental challenges in software engineering and security. Her work spans multiple areas including code generation with large language models, vulnerability detection, software testing, and program analysis. She has pioneered approaches that combine deep learning with traditional software engineering techniques to create more robust, secure, and efficient software development processes. Her research has practical implications for improving code quality, enhancing software security, and accelerating development cycles through AI assistance. Her recent work demonstrates a strong emphasis on semantic-aware code generation, execution reasoning, and addressing hallucinations in code language models. She has also made significant contributions to evaluating the functionality and security of AI-generated code, identifying critical challenges in the practical adoption of AI for software development. Dr. Ray has received numerous prestigious awards recognizing her contributions to the field: IEEE TCSE Rising Star NSF CAREER award IBM faculty award VMware Faculty award Distinguished Paper awards at FSE'17, ASE'22, and ISSTA'23 ICSME Most Influential Paper award Publications featured in CACM Research Highlights As an Amazon Visiting Academic and active participant in major software engineering conferences, Dr. Ray has established herself as a thought leader in AI for software engineering. Her research has been widely covered in trade media, indicating its relevance and impact on industry practices. She has mentored numerous students through their research and has been instrumental in shaping the next generation of researchers in this interdisciplinary field. Her work demonstrates a consistent focus on bridging theoretical advances with practical applications, ensuring that her research has tangible benefits for the software development community. The trajectory of her publications shows an evolving research agenda that has successfully adapted to the rapidly changing landscape of AI and its applications to software engineering.
Dr. Antonio Mastropaolo is an Assistant Professor of Computer Science at William & Mary, USA. His research lies at the intersection of Artificial Intelligence, Natural Language Processing, and Software Engineering, with a strong emphasis on the automation of SE-related practices. He promotes explainability, efficiency, and optimization from both model-centric and output-centric perspectives. His research interests focus on the reliability and efficiency of AI systems for software engineering. He investigates robustness and adaptability of foundation models like GitHub Copilot, as well as documentation and summarization of code components. His work addresses critical challenges in AI-driven software development including transparency, scalability, and developer productivity. His publication portfolio shows a strong trend toward neurosymbolic approaches that combine neural learning with symbolic reasoning. Recent articles explore quantization of large code models, code summarization optimization, and resource-efficient AI for software engineering. His work spans both theoretical foundations and practical applications, with emphasis on empirical validation of AI techniques in real-world SE contexts. Distinguished Reviewer Award for service on FSE'25 program committees Distinguished Reviewer Award at ASE 2024 Distinguished Paper Award for 'Unveiling ChatGPT's Usage in Open Source Projects' at MSR'24 Distinguished Paper Award for 'How do Hugging Face Models Document Datasets, Bias, and Licenses?' at ICPC'24 Dr. Mastropaolo advises PhD students, with Saima recently starting her PhD journey with a publication in FORGE 2025. He received an NSF Grant (#2451058) in April 2025 for research on efficient and responsible AI for software engineering. His service includes committee membership for major conferences including ASE, ICSE, ICSME, and FSE across multiple tracks including Research Papers, NIER, and Tool Demonstrations.
