Prof. Dr. Martin Middendorf is a faculty member at the Department of Computer Science , Faculty of Mathematics and Computer Science , Leipzig University , Germany. He leads the Swarm Intelligence and Complex Systems Group and focuses on interdisciplinary research at the intersection of computational methods and biological systems. Fields of Interest Swarm Intelligence Bioinformatics Genome Rearrangement Analysis Combinatorial Optimization Evolutionary Algorithms Task Allocation in Multi-Agent Systems His recent research emphasizes mitochondrial genome annotation , predator-prey dynamics in swarm systems , and metaheuristic algorithms for dynamic optimization . Key trends include de-Bruijn graph applications , pheromone-dependent movement modeling , and automated behavior tracking in social insects . Supervised Students Dr. Nicolas Wieseke Dr. Hoang Thanh Le Dr. Fatma Turna Tobias Jagla Carsten Seemann Prof. Middendorf's group develops tools like DeGeCI 1.1 for mitochondrial gene annotation and explores swarm-controlled emergence in ant clustering systems. They apply swarm intelligence principles to solve real-world problems in vehicle routing , sewer network design , and biomedical signal processing .
Prof. Dr.-Ing. Tim Wilhelm Nattkemper leads the Biodata Mining Group at the Faculty of Engineering , Universität Bielefeld , while holding affiliations with the Center for Biotechnology (CeBiTec) and the Institute for Bioinformatics Infrastructure . His work bridges bioinformatics with marine environmental monitoring , focusing on machine learning and computer vision applications. The group specializes in multivariate bioimage analysis , developing platforms like BioIMAX for web-based high-dimensional data exploration. Research spans from MALDI imaging to deep-sea megafauna classification , integrating information visualization and web technologies . Recent projects address seafloor macrolitter monitoring , coral stress response analysis , and self-supervised learning for diatom classification. Their 15 most recent publications (2023-2025) highlight advancements in marine imaging , automated annotation systems , and AI-driven biodiversity assessment , particularly in polymetallic nodule fields. The group also tackles technical challenges like data imbalance in marine image classification and FAIR data principles implementation. As module responsible for courses like Information Visualization and Introduction to Bioinformatics , Nattkemper contributes to academic training in bioinformatics and data science . His interdisciplinary collaborations span physics , chemistry , and ecology within Bielefeld's Material World strategic research area.
Stefan Brandle is a Professor of Computer Science & Engineering at Taylor University, serving as cybersecurity researcher and point of contact for Lockheed Martin Advanced Technology (9+ years, $1M+ funding) and satellite communications architect for NearSpace Launch (10+ years). His international experience includes teaching in Mauritius, Ecuador, and South Korea. His educational background includes: PhD in Computer Science, Illinois Institute of Technology MS in Computer Science, Illinois Institute of Technology BA in Philosophy, Wheaton College Brandle's research spans Satellite Communications (CubeSats, GPS tracking, debris mitigation), Cybersecurity , Artificial Intelligence (malware classification), and Software Engineering Education . His work integrates practical satellite deployments with educational innovations in programming pedagogy. Publication trends (2024-2003) reveal dual expertise: satellite technology dominates recent work (constellations, flight results, beacon systems), while earlier research focuses on software engineering education (automated grading, data structures labs, team-based studios). His scientific recognition includes: Fulbright Scholar at University of Mauritius Brandle secured over $1 million in Lockheed Martin funding for cybersecurity research and mentors students through programming teams and software studio projects, as evidenced by publications on team preparation and professional software engineering pedagogy. He leads satellite initiatives at Taylor University with international collaborations across Africa and Asia, emphasizing real-world applications for church and missions communities.
Guillermo García Martín serves as an Associate Professor at ESIC Business & Marketing School within the Faculty of Communication and Social Sciences. His teaching responsibilities span multiple programs including Financial Mathematics and Macroeconomics for 2nd-year Business Administration students, eCommerce for 4th-year Business Administration (Internationalization track), Business Models on the Web for Computer Engineering undergraduates, and Project Management in Digital Environments for Marketing degree candidates. Education and Accreditation Doctorate in Economics (Cum Laude distinction) Nationally accredited by ANECA (Spain's National Agency for Quality Assessment and Accreditation) Research Profile : Dr. García Martín's scholarly work centers on labor economics with specialized focus on gender-based economic disparities. His primary investigations examine occupational segregation patterns and systemic wage discrimination against women in contemporary labor markets. Complementing this, he actively develops pedagogical innovations in economics education and analyzes broader labor market dynamics. His publications appear in specialized academic journals and conference proceedings, reflecting consistent contributions to labor economics discourse. Professional Engagement : While specific student advising details and research grants remain undocumented in source materials, his active participation in national and international labor economics conferences demonstrates sustained scholarly involvement. The absence of award mentions or laboratory affiliations suggests primary focus remains on teaching excellence and targeted research publication within his specialized domains.
Scott K. Hyde is a Professor of Mathematics at Brigham Young University - Hawaii, where he has served since 2004, progressing from Assistant Professor to Associate Professor and ultimately to Professor. He holds leadership positions including past Chair of the Mathematics Department (2012-2018) and current Program Lead for Mathematics. His academic journey includes a Ph.D. in Statistics from Montana State University (2004), an M.S. in Statistics from the same institution (1999), and undergraduate degrees in Mathematics and Computer Science from BYU-Hawaii (1996). Ph.D., Statistics, Montana State University, 2004 M.S., Statistics, Montana State University, 1999 B.S., Mathematics, Brigham Young University - Hawaii, 1996 A.S., Computer Science, Brigham Young University - Hawaii, 1996 Professor Hyde's research spans mathematical statistics with particular focus on robust statistical methods, linear models, multivariate analysis, and numerical methods. His work bridges theoretical statistics with practical applications, notably in environmental monitoring and educational technology. He has developed expertise in implementing statistical methods using computational tools, particularly the R programming environment, which informs both his research and teaching approaches. His publication record reveals a dual focus: methodological statistical research and innovative approaches to mathematics education. The earlier part of his career shows strong work in robust statistical methods and multivariate analysis, while more recent publications demonstrate increasing engagement with environmental applications and educational technology, particularly the integration of R programming into mathematics instruction. BYUH Faculty Recognition award (2016) BYUH Ten-Year Service award (2015) College of Math and Sciences Dean's Special Leadership award (2010, 2009) BYUH Five-Year Service award (2010) Upsilon Pi Epsilon Honor Society membership (2007) Outstanding Graduate Teaching Assistant (2002) Outstanding PhD student in Statistics (2000) Professor Hyde has extensive experience mentoring students and colleagues, serving as department chair, and leading curriculum development initiatives. He has chaired multiple faculty search committees and program review committees, including the Mathematics Department's program review in 2013 which led to the creation of specialized tracks within the mathematics major. His service extends to statistical consulting for students and faculty across campus, demonstrating his commitment to interdisciplinary collaboration. As Mathematics Department Technology Chair since 2004, he has led initiatives to integrate technology into mathematics education, including implementing the MyStatLab system, automating classroom note capture systems, and developing the department's web presence. His technical expertise spans multiple programming languages and operating systems, supporting both his research and educational innovations.
Anders P. Tøttrup is a Research Professor and Deputy Museum Director at The Natural History Museum of Denmark, University of Copenhagen. He holds the position of Associate Professor in the Department of Biology within the Faculty of Science. His work bridges academic research with museum leadership, focusing on ornithology, conservation, and citizen science initiatives. Education: PhD in Migration Ecology, University of Copenhagen, Denmark (2009) MSc in Population Ecology, University of Copenhagen, Denmark (2004) Dr. Tøttrup's research focuses on studying migratory birds throughout their annual cycle, with particular interest in how global climate change and nature management strategies affect avian populations. His work examines long-term changes at spatiotemporal scales, including phenology, mortality patterns, and species interactions. He has extensive field experience across multiple continents including Africa, North America, and Europe, with specialized expertise in bird identification, surveys, and tracking technologies. His recent publications demonstrate a strong focus on migratory bird ecology, climate change impacts, and citizen science applications. The research spans from detailed tracking studies of individual species to continent-wide analyses of breeding productivity and migration patterns. His work often combines cutting-edge tracking technology with ecological modeling to understand complex migration phenomena. Scientific Recognition: 49 peer-reviewed scientific papers H-index of 21 with 1,350 citations in Web of Science Regular symposium convener at major ornithological conferences Reviewer for top journals in General Biology, Ecology, and Ornithology Dr. Tøttrup actively supervises students, mentoring approximately 4 MSc and 3 BSc students annually. He has secured significant research funding including Carlsberg and Villum Fonden postdoctoral grants, and major project grants from the Aage V. Jensen Foundation for the Golden Eagle Project and Citizen Science initiatives. He serves as Chairman of the scientific committee of BirdLife Denmark and has extensive experience in science communication through popular articles and media appearances. His organizational work includes directing education at the Natural History Museum and leveraging citizen science to enhance conservation efforts. He has developed innovative approaches for tracking and studying migratory birds, with applications for biodiversity conservation across multiple ecosystems.
Hana Habib is an Assistant Professor at Carnegie Mellon University's Software and Societal Systems Department in the School of Computer Science . She serves as Associate Director of the Master's in Privacy Engineering program and contributes to the Collaboratory Against Hate through human-centered design interventions. Ph.D. in Societal Computing (2021), Carnegie Mellon University MSIT in Information Security (2015), Carnegie Mellon University BS in Computer Science/ECE (2013), Cornell University Her research investigates privacy engineering challenges through human-computer interaction lenses, focusing on user behaviors in digital ecosystems, privacy choice interfaces , and hate speech mitigation strategies. Current work examines iconography effectiveness in privacy communication and regulatory compliance implementation. Recent publications analyze GDPR compliance mechanisms , CCPA implementation challenges, and behavioral advertising controls across platforms. Her empirical approach combines user studies with policy analysis to advance usable security frameworks. Scientific Recognition : Facebook Research Award recipient for advertising control usability Three-time CyLab Presidential Fellowship awardee Executive Women's Forum full-tuition scholarship Stokes Educational Scholarship Program participant Rising Stars Workshop invitee Habib previously served as a Program Committee member for EuroUSEC, USEC, and WAY conferences, and held leadership roles in CMU's OurCS Conference Committee and INI Alumni Leadership Council . Her work has been cited in CCPA rulemaking and influenced NIST Digital Identity Guidelines through password policy research.
Dr. hab. Julia Sowińska-Heim serves as an Assistant Professor in the Department of History of Architecture within the Faculty of Philosophy and History at the University of Lodz. Her academic profile shows active engagement with current office hours listed for Fridays (10:00-11:00) at Narutowicza 65, room 207. Her research interests focus on architectural history with particular emphasis on Polish architecture, urban identity, and cultural heritage. The research profile indicates specialization in arts studies (ARS) and architecture and urban planning (AUP), with documented work on Łódź's industrial architecture, European art, and visual culture. Dr. Sowińska-Heim maintains an active research profile with 47 documented publications and has supervised 4 promoted theses. Her work shows consistent thematic focus across multiple publications as evidenced by the recurring keywords in her research profile. She actively participates in academic activities with 19 documented professional activities and has received 2 academic achievements, though specific details about these awards are not provided in the available information. For contact, she can be reached at julia.sowinska@uni.lodz.pl and maintains office hours at the University of Lodz campus. Her scholarly work is tracked through ORCID (0000-0003-3810-596X) and other academic databases including Scopus and Web of Science.
Professor Christian Barton is a leading academic and clinician in physiotherapy at La Trobe University's School of Physiotherapy, specializing in musculoskeletal rehabilitation and implementation science. He maintains an active dual career spanning research, teaching at the Bundoora campus, and private clinical practice treating sports injuries in Melbourne. His educational background includes a PhD and Master of Communications from La Trobe University, a Graduate Certificate in Implementation Science from UCSF, and a Bachelor of Physiotherapy (Honors) from Charles Sturt University. Barton leads major implementation initiatives including GLA:D Australia (education/exercise for osteoarthritis) and TREK (Translating Research Evidence and Knowledge), with research focusing on knee osteoarthritis, patellofemoral pain, running injuries, and digital health solutions. Barton's publication record demonstrates significant impact in orthopedics and rehabilitation science, with recent work examining remote versus face-to-face osteoarthritis management, biomechanical outcomes of exercise therapy, and patient belief systems. As Associate Editor of the British Journal of Sports Medicine , he influences global discourse while advising the Australian Physiotherapy Association on policy. His work bridges clinical practice and research through funded projects including HERknee CRE, KNEECAPs!, and SUPER rehabilitation studies. His research collaborations span international networks with projects implemented across Australia, the UK, Europe, and Scandinavia, reflecting his status as a sought-after speaker and course developer for knee pain management. Barton's expertise in implementation science drives real-world application of evidence through structured programs like GLA:D Australia, which has trained hundreds of physiotherapists nationwide.
Michael Pradel is a full professor at the University of Stuttgart and a faculty member at the CISPA Helmholtz Center for Information Security. He leads the Software Lab at the University of Stuttgart and holds additional affiliations with the International Max Planck Research School (IMPRS) for Intelligent Systems and the Stuttgart ELLIS Unit. Previously, he served as an assistant professor at TU Darmstadt, a postdoctoral researcher at UC Berkeley, and a lecturer and postdoctoral researcher at ETH Zurich, where he completed his PhD. His educational background includes computer science studies at TU Dresden and engineering studies at Ecole Centrale Paris, with a master's thesis conducted at EPFL. He has taken sabbaticals at Facebook, UC Berkeley, and UCLA. Pradel's research spans software engineering, programming languages, security, and machine learning, with a focus on tools and techniques for building reliable, efficient, and secure software. He is particularly interested in neural-symbolic software analysis, analyzing web applications, dynamic analysis, and test generation. His recent work increasingly incorporates large language models for software engineering tasks including bug detection, test generation, and program repair. His research group has produced significant work in WebAssembly analysis, Python dynamic analysis, quantum program analysis, and automated program repair, with notable tools including Wasm-R3, DynaPyt, LintQ, and RepairAgent. Ernst-Denert Software Engineering Award Emmy Noether grant by the German Research Foundation (DFG) (1.3 million Euro) ERC Starting Grant (1.5 million Euro) Best/Distinguished Paper Awards at FSE (3x), ISSTA, ASE, ASPLOS, and MSR ACM Distinguished Member Multiple ACM SIGSOFT Distinguished Paper and Artifact Awards Pradel has advised numerous PhD students including Matteo (thesis on "Testing and Analysis of Quantum Software"), Luca (thesis on "Supporting Software Evolution via Search and Prediction"), and Daniel (thesis on program analysis for WebAssembly). His research has been supported by significant grants including the Emmy Noether grant and ERC Starting Grant. He serves in leadership roles for major conferences including PC co-chair for FSE 2027 and area chair for ICSE 2026. Pradel leads the Software Lab at the University of Stuttgart, which includes visiting professors Cristian Cadar and Prem Devanbu (both supported by Humboldt Research Awards). The lab maintains active collaborations with institutions including CMU, Google, KAIST, and USI Lugano, and regularly contributes to major software engineering conferences.
Lili Wei is an Assistant Professor in the Department of Electrical and Computer Engineering at McGill University's Faculty of Engineering. She specializes in software engineering research with a focus on Android applications, smart contracts, and IoT software. Prior to joining McGill, she completed her PhD at HKUST under Prof. S.C. Cheung and was a Postdoctoral Fellow in the CASTLE group at HKUST, receiving the Hong Kong Research Grant Council Postdoctoral Fellowship. Her research interests center on software analysis, testing, and mining code repositories, particularly addressing compatibility issues in Android applications, security vulnerabilities in smart contracts, and testing methodologies for mobile software. She has made significant contributions to understanding and solving fragmentation-induced compatibility issues in Android apps, which has been a persistent challenge for developers due to the diverse ecosystem of Android devices and OS versions. Dr. Wei's publication record shows a consistent trajectory of impactful research in top software engineering venues including ASE, ICSE, FSE, ISSTA, and IEEE Transactions on Software Engineering. Her recent work has expanded into blockchain security with a focus on front-running vulnerabilities in smart contracts. Her research combines empirical studies with practical tool development to address real-world software engineering challenges. Peter Silvester Faculty Research Award in Electrical & Computer Engineering (McGill University) Distinguished Reviewer (ASE 2022) Hong Kong RGC Postdoctoral Fellowship Scheme (2020) ACM SIGSOFT Distinguished Artifact Award (ICSE 2019) Google PhD Fellowship (in Mobile Computing, 2018) Microsoft Research Asia PhD Fellowship (2018) ACM SIGSOFT Distinguished Paper Award (ASE 2016) Dr. Wei has been actively involved in the academic community, serving on program committees for major software engineering conferences including ICSE, ASE, FSE, ISSTA, and MOBILESoft. She has held leadership roles such as Tutorials Track Chair for ASE 2023, PC Chair for MOBILESoft 2023, and is currently seeking PhD students interested in software engineering research, particularly in program analysis, test generation, and mobile computing. Her teaching at McGill includes ECSE 250: Fundamentals of Software Development, ECSE 321: Introduction to Software Engineering, and ECSE 688: Automated Software Testing and Analysis.
Abhishek Tiwari is an Associate Professor of Software Engineering at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark, where he was promoted from Assistant Professor in September 2025. His academic journey includes positions as Senior Researcher at Software Institute, USI Lugano (2024), Senior Researcher at University of Passau (2022-2023), and Research Fellow at National University of Singapore (2020-2021). He completed his PhD in Software Engineering at University of Potsdam, Germany in 2019 under supervision of Prof. Dr.-Ing Christian Hammer. His research focuses on the intersection of programming languages and software engineering, with particular expertise in static program analysis, language-based security, information flow control, and automated program repair. His work has significant practical applications in Android security and privacy, addressing critical challenges in information flow analysis, vulnerability detection, and program repair. His research has evolved from foundational work on Android security mechanisms like PendingIntent analysis and anti-theft frameworks to more recent sophisticated approaches for information flow security repair and multilingual program analysis. Trends in his publication record show a consistent focus on Android security challenges, with increasing sophistication in analysis techniques from 2017 through 2025. His work spans theoretical foundations of program analysis while maintaining strong practical relevance to real-world Android security issues. Recent publications demonstrate growing interest in multilingual program analysis and formal specification challenges. ACM SIGSOFT Distinguished Paper Award (MOBILESoft 2023) Dr. Tiwari actively contributes to the academic community through program committee service for major conferences including ASE (2024, 2025), ICSE (2025), and ISSTA (2022-2024). His teaching portfolio includes Advanced Software Engineering Methodologies (2024), Automated Program Repair (2022-2023), and Mobile Security (2022) courses. He has received research funding from prestigious sources including Deutsche Forschungsgemeinschaft (DFG), German Federal Ministry of Education and Research, and EIT Digital for projects related to programming principles for privacy, SmartPriv, and SMAPPER.
August Shi is an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin. His research focuses on software testing, particularly regression testing, with emphasis on improving reliability with respect to flaky tests and increasing testing speed without compromising quality. Dr. Shi obtained his PhD in Computer Science from the University of Illinois at Urbana-Champaign in 2020. Prior to that, he earned a B.S. in both Computer Science and Electrical and Computer Engineering from The University of Texas at Austin in 2013. Dr. Shi's research interests center on software testing and regression testing , with a particular focus on addressing challenges related to flaky tests . His work aims to make regression testing both more reliable (by tackling issues with flaky tests) and faster (without sacrificing testing quality). His research spans multiple aspects of software testing including test prioritization, test scheduling, flaky test detection and repair, and optimization of continuous development processes. Dr. Shi's publication record shows a consistent focus on flaky tests and regression testing across multiple top-tier software engineering conferences including ASE, ICSE, ISSTA, and ESEC/FSE. His research has evolved from foundational work on test suite reduction and mutant generation to more recent innovations in flaky test classification, debugging, and repair. A notable trend is his increasing application of machine learning techniques to testing problems, particularly in his 2024-2025 publications. Dr. Shi actively contributes to the software engineering research community through committee service on major conferences including ASE, ICSE, ISSTA, and ESEC/FSE, where he has served on program committees for Research Papers, NIER tracks, and Tool Demonstration tracks. Dr. Shi is currently seeking PhD students to work on projects related to his research interests in software testing. He has supervised or co-supervised multiple student projects presented at major software engineering conferences, demonstrating his commitment to mentoring the next generation of researchers.
Dr. Oleg Zendel is a Research Fellow at RMIT University's Research & Innovation department, based at the City Campus in Australia. His academic focus lies in advanced information systems and data science, with expertise in query performance prediction, human information interaction, and large language models (LLMs) applied to information retrieval. He holds a Ph.D. in Computer Science from RMIT University (2020–2024). Research Interests: His work bridges theoretical and applied aspects of information retrieval, emphasizing practical frameworks for evaluating query effectiveness and leveraging LLMs to enhance interactive systems. Key areas include conversational AI, automated annotation, and data-driven methodologies for IR optimization. Collaborations: Open to collaborative projects, industry partnerships, and supervising Masters/PhD students in his research domain. He actively participates in organizing workshops like the Search-Oriented Conversational Artificial Intelligence (SCAI) and contributes to events such as ACM SIGIR and ECIR conferences. Publications: Recent work explores LLM evaluation validity, entropy-based neural IR systems, and simplified query performance prediction tools like QPPTK. His publications reflect a trend toward integrating AI advancements into scalable, user-centric IR solutions.
Prof. Dr. Meinard Müller is a Professor at Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), leading the Chair of Semantic Audio Signal Processing within the International Audio Laboratories Erlangen (a joint institute with Fraunhofer IIS). He specializes in Music Processing, Music Information Retrieval, Audio Signal Processing, and Motion Processing. His work bridges fundamental research and practical applications in music technology, including audio decomposition, source separation, and computational musicology. Research Interests: Focus on algorithmic methods for music analysis, audio feature extraction, and real-time audio processing. Teaching: Supervises a large group of doctoral and master’s students, offering courses on audio processing and music technology. Awards: Recognized as an IEEE Fellow (2020) and ACM Senior Member (2020). His research group develops open-source tools like the FMP Notebooks and libfmp, and maintains datasets such as the Wagner Ring Dataset and Dagstuhl ChoirSet. He actively contributes to conferences like ISMIR and ICASSP, with over 200 publications in top-tier journals and conferences.
