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Susanne GerberView profile

Professor

• Bioinformatics
• Clinical Genomics
• Multi-omics Integration
• +4 more

Prof. Dr. Susanne Gerber is a tenured-track Professor (W2) for Clinical Genomics and Bioinformatics at Johannes Gutenberg University Mainz, where she serves as Deputy Director of the Institute of Human Genetics within the University Medical Center. Her academic journey includes a PhD in Theoretical Biophysics from Humboldt University Berlin (2011), MSc in Bioinformatics from Free University Berlin (2007), and BSc from Free University Berlin/MPI for Molecular Genetics (2004). Before her current role, she was Assistant Professor at JGU Mainz (2016-2020) and postdoc at Università della Svizzera italiana (2011-2015). Her research integrates multi-omics approaches (transcriptomics, proteomics, epigenomics) with machine learning to investigate neurodegeneration, resilience mechanisms, and healthy aging. The lab specializes in: Development of novel bioinformatics algorithms for high-dimensional data analysis Third-generation nanopore sequencing applications SNP-SNP association studies for 3D chromatin modeling Cross-omics biomarker discovery for brain disorders Recent publications demonstrate strong focus on meta-analyses of neurodegenerative diseases, computational method development, and glial-neurovascular interactions. Her group maintains active research in miRNA patterns in Alzheimer's/Parkinson's disease and their microbiome interactions. Prof. Gerber leads the Computational Systems Genomics Group with 11+ members, conducting research at the Biomedical Research Center. Her work bridges computational science with clinical applications in human genetics.

Michael HauptmannView profile

Professor

• Biostatistics
• Cancer Epidemiology
• Radiation Effects
• +3 more

Prof. Dr. Michael Hauptmann serves as Head of the Institute for Biometry and Registry Research and Scientific Director of ZKS-BB (Center for Clinical Studies) at Brandenburg Medical School Theodor Fontane. He joined the institution on April 9, 2019, establishing himself as a leading academic in biostatistical research and medical education. His research focuses on statistical methods , health services research , and registry research , with particular emphasis on cancer epidemiology, radiation effects, and risk assessment in observational studies. Prof. Hauptmann's work bridges statistical methodology with practical applications in medical research, especially in understanding long-term health outcomes following radiation exposure. Recent publications demonstrate expertise in analyzing radiation-related cancer risks, developing statistical methods for observational studies, and conducting large-scale epidemiological research. His work spans from methodological developments in bias correction to applied studies on cancer risks following medical radiation exposure. Expertise in registries and biostatistics Specialized knowledge in radiation epidemiology Research on cancer risk factors and prevention Methodological work on bias in observational studies Analysis of long-term health effects following radiation exposure As an educator, Prof. Hauptmann teaches biometrics and statistics to medical students and researchers, emphasizing practical applications of statistical methods in medical research and clinical practice. His leadership at the Institute for Biometry and Registry Research supports clinical researchers across the medical school with study design, data analysis, and interpretation of results.

Charlotte KuglerView profile

Researcher

• Health Services Research
• Healthcare Systems
• Systematic Reviews
• +3 more

Dr. Charlotte Kugler is an Academic Staff Member with a Dr. rer. medic. degree at the Institute for Health Services and Healthcare Systems Research (ZVF-BB - Centre for Health Services Research) at Brandenburg Medical School Theodor Fontane. Her work focuses on the intersection of clinical practice and healthcare delivery systems. Dr. Kugler's research interests center around health services research, particularly examining hospital volume-outcome relationships in surgical procedures like total knee arthroplasty. She investigates how hospital procedure volumes affect patient outcomes and explores patient perspectives on minimum volume thresholds. Her work also includes methodological research on systematic review processes and studies on preoperative interventions such as stoma site marking. Her recent publications demonstrate a strong focus on evidence synthesis through systematic reviews and meta-analyses, as well as qualitative approaches to understanding patient perspectives. Dr. Kugler collaborates with researchers across multiple institutions on projects related to surgical outcomes and healthcare quality improvement. Dr. Kugler's scientific contributions include: Hospital volume-outcome relationship in total knee arthroplasty (2021) Patient perspectives on hospital volume thresholds (2021) Effect of preoperative stoma site marking (2021) Author query methodology in systematic reviews (2020) As a researcher at Brandenburg Medical School, Dr. Kugler contributes to advancing evidence-based healthcare practices through rigorous methodological approaches and patient-centered research.

• Algorithms
• Bioinformatics
• Comparative Genomics
• +5 more

Séverine Bérard is a Lecturer in the Computer Science Department at the Faculty of Sciences, University of Montpellier, where she holds a Habilitation à Diriger des Recherches (HDR) since 2016. Her institutional roles include: Co-director of the Bioinformatics Master's program Elected member of the University Board of Directors (since 2021) Elected member of the Faculty of Sciences Council (since 2017) Appointed member of the University Training Committee (since 2016) Her research at ISE-M's Phylogeny and Molecular Evolution Team bridges computer science and bioinformatics, with core focuses on: Development of text algorithms and graph-based methods for genomic analysis Comparative genomics and ancestral genome reconstruction Quality assessment of genome assemblies and meta-assemblies Evolutionary modeling of chromosome rearrangements Her recent publications (2016-2021) demonstrate strong emphasis on algorithmic innovations for evolutionary genomics, including genome scaffolding techniques, DCJ rearrangement models, and ancestral genome reconstruction methods applied to organisms ranging from mosquitoes to bacteriophages. In education, she teaches across all academic levels (L1-M2) in both practical computer science (networks, programming) and theoretical disciplines (discrete mathematics, text algorithms), while leading curriculum development as co-director of the Bioinformatics Master's program.

Shiva NejatiView profile

Professor

• Software Testing and Verification
• Cyber Physical Systems
• Applications of AI to Software Engineering
• +4 more

Shiva Nejati is a Professor at the School of Electrical Engineering and Computer Science at the University of Ottawa, where he leads research in software engineering with a focus on verification and analysis of cyber-physical systems. Previously, he served as a senior scientist (2012-2019) at the SnT Center, University of Luxembourg, and as a scientist (2009-2012) at the Simula Research Laboratory. He earned his M.Sc. and Ph.D. from the University of Toronto in 2003 and 2008, respectively. His research interests span Software Testing and Verification, Cyber Physical Systems, Applications of AI to Software Engineering, and Search-based Software Engineering. Nejati's work draws on techniques from formal software modeling, meta-heuristics optimization, machine learning, system engineering, and empirical methods. He has extensively worked on testing and fault localization of cyber physical systems, particularly applied to autonomous vehicles and IoT systems, while also exploring requirements traceability, automated configuration of product line systems, and simulation modeling of CPS. His recent publications demonstrate a strong trend toward integrating artificial intelligence with traditional software verification techniques, particularly for complex cyber-physical systems. His work bridges search-based testing with formal verification methods to address the challenges of testing compute-intensive models in domains like autonomous vehicles and satellite systems. The research shows increasing focus on applying machine learning to solve longstanding problems in software testing and requirements engineering. Nejati serves in significant leadership roles across major software engineering conferences, including PC Chair for ASE 2026, General Chair for CASCON 2026, and various program committee and organizing committee roles for ICSE, ISSTA, MODELS, and other top-tier conferences. He is also an Associate Editor for EMSE Journal and ASE Journal, and previously served on the IEEE Transactions on Software Engineering editorial board. He teaches advanced courses including 'AI-enabled Software Verification and Testing' and 'Software Construction' at the University of Ottawa, while leading the Sedna lab which focuses on verification, analysis, and testing of complex systems. His research is conducted in close collaboration with industry partners across telecommunication, maritime, energy, automotive, and aerospace sectors.

John GrundyView profile

Professor

• Software Engineering
• Model-Driven Engineering
• Human-Centric Software Engineering
• +5 more

John Grundy is a Professor of Software Engineering and Senior Deputy Dean at Monash University's Faculty of Information Technology in Melbourne, Australia. He is also an Australian Laureate Fellow (2020-2026) and leads the "Human-centric Software Engineering" (HumaniSE) research lab. With over 32 years of academic experience, Professor Grundy has held numerous leadership positions including Pro Vice-Chancellor at Deakin University and Dean roles at Swinburne University and the University of Auckland. BSc(Hons), MSc, PhD and DSc degrees in Computer Science from the University of Auckland IEEE Fellow, Fellow of Automated Software Engineering, Fellow of Engineers Australia Lero Parnas Fellow (2023) Recipient of the ACM SIGSOFT Distinguished Service Award (2023) and Dean's Award for Graduate Research Student Supervision (2024) Professor Grundy's research focuses on making "Software Engineering more like traditional Engineering disciplines" through human-centric visual modeling approaches. His primary research areas include model-driven engineering, software architecture, visual languages, software security engineering, and human factors in software development. He specifically investigates how personality, emotions, gender, age, and disability impact software usage, requirements engineering, design, and testing. His current projects include the Visual Wiki platform for knowledge engineering, Marama meta-tools, and Software Process and Product Improvement initiatives. His research has significant implications for accessibility, usability, and the alignment of software applications with diverse user needs. Professor Grundy has published extensively in top software engineering venues and has supervised numerous PhD students throughout his career. IEEE Technical Council on Software Engineering Distinguished Education Award (2014) ACM SIGSOFT Distinguished Service Award (2023) CORE Distinguished Service Award (2023) Lero Parnas Fellow (2023) Dean's Award for Graduate Research Student Supervision (2024) Professor Grundy has supervised numerous PhD students and has received funding for various research projects, most notably his 5-year Australian Laureate Fellowship (2020-2026) focused on human-centric software engineering. His HumaniSE research lab brings together interdisciplinary teams to address challenges in making software systems more responsive to human needs and contexts. His lab focuses on developing new conceptual foundations and modeling techniques that incorporate human factors throughout the software development lifecycle, with applications in smart homes, digital health, and smart city solutions.

• Virology
• Infectious Disease Epidemiology
• Microbial Genomics
• +4 more

Dr. Michael Owusu is a Lecturer at the Faculty of Allied Health Sciences and Senior Research Fellow at the Kumasi Centre for Collaborative Research in Tropical Medicine at Kwame Nkrumah University of Science and Technology (KNUST) in Ghana. He serves as chairman of the KNUST COVID-19 modelling Committee and has made significant contributions to virological diagnostics in Ghana, particularly during the SARS-CoV-2 pandemic. With over 69 peer-reviewed publications and 4 book contributions, his work spans infectious disease epidemiology, viral zoonosis, and microbial genomics. Dr. Owusu studied Medical Laboratory Technology at the undergraduate level and completed his PhD in Clinical Microbiology. Prior to joining KNUST, he worked for 10 years as a Biomedical Scientist and Microbiologist at the Komfo Anokye Teaching Hospital, where he utilized classical microbiological techniques for pathogen identification. His research focuses on understanding interactions among microbial agents in respiratory and gastrointestinal niches using both classical and molecular techniques. He is particularly interested in viral zoonosis, microbial genomics, and the epidemiology of epidemic-prone infectious diseases. Dr. Owusu has been instrumental in developing Ghana's capacity for virological diagnostics and has contributed significantly to the country's response to emerging infectious disease threats. His recent publications (2020-2025) demonstrate a strong focus on SARS-CoV-2 genomics, respiratory virus epidemiology, typhoid fever surveillance, and innovative diagnostic approaches. His work often addresses public health challenges specific to resource-limited settings in Africa, with particular attention to surveillance systems, diagnostic methods, and disease modeling. Dr. Owusu serves as a reviewer for high-impact journals including BMC Medicine, BMC Infectious Diseases, PLOS One, and PLOS Neglected Tropical Diseases. He was recently appointed to the Board of Reviewers of the American Society of Microbiology, recognizing his expertise in the field. He has served on over 30 university and international committees and is actively involved in public health initiatives in Ghana. His research group focuses on developing laboratory capacity for infectious disease detection and response, with particular emphasis on strengthening Ghana's ability to respond to emerging pathogens.