جست‌وجوی استاد و پژوهشگر

Mahdi Saeedi Nikooمشاهده پروفایل

پژوهشگر

• Software Engineering
• Business Process Modeling
• Service Composition
• +۵ مورد دیگر

Mahdi Saeedi Nikoo is a researcher affiliated with the Eindhoven University of Technology under the Mathematics and Computer Science school in the Software Engineering and Technology department. His research focuses on Software Engineering , Business Process Modeling , Service Composition , Clone Detection , and Industrial Internet of Things . The titles of his recent publications reflect a strong emphasis on empirical studies in software engineering, domain-specific languages, and architectural frameworks for IoT. Key trends in his work include the application of variability modeling in software systems, integration of cloud platforms, and analysis of open-source repositories like GitHub. Mahdi's contributions span datasets, conference papers, and journal articles, with citations in areas such as Industrial Internet of Things and Service Composition . He has no listed scientific awards, and his supervised work includes datasets and collaborative research outputs.

Chen Davidovichمشاهده پروفایل

استاد

• Epigenetics
• Chromatin Biology
• Molecular Biology
• +۳ مورد دیگر

Chen Davidovich is a Professor in the Department of Biochemistry & Molecular Biology at Monash University, affiliated with the Monash Biomedicine Discovery Institute. His research focuses on understanding the molecular mechanisms underlying chromatin-modifying complexes, particularly the regulation of Polycomb repressive complexes (PRC2) by RNA, proteins, and DNA. His work contributes to Sustainable Development Goals related to health and innovation. Research Projects: Development of mRNA therapeutics (2023–2028) RNA purification platforms (2021–present) Epigenetic regulation of PRC2 (2021–2025) mRNA Victoria and pre-clinical innovation (2022–2025) Research Interests: His lab investigates how chromatin-modifying complexes maintain gene repression, with a focus on PRC2 and RNA interactions. Techniques include cryo-EM, CRISPR screens, and bioinformatics. Recent work addresses PRC2 dynamics in non-dividing cells and RNA's role in epigenetic regulation. Lab & Collaborations: The Davidovich Lab collaborates globally on chromatin biology and mRNA applications. They offer training in structural biology, molecular biology, and bioinformatics. Positions include postdocs (analytical chemistry, structural biology), PhD students, and research assistants.

Stuart Firesteinمشاهده پروفایل

استاد

• Olfaction
• Signal Transduction
• Neurogenesis
• +۳ مورد دیگر

Stuart Firestein serves as Professor of Biological Sciences and Provost's Senior Faculty Teaching Scholar at Columbia University. His laboratory investigates cellular mechanisms of signal transduction and olfaction, using vertebrate olfactory receptor neurons as models to study receptor-ligand interactions, second messenger modulation, ion channel gating, and adaptation mechanisms. The research employs adenovirus vectors to overexpress cloned odor receptors, enabling study of ligand-binding affinities and structure-function relationships in G-protein coupled receptors. Firestein's work examines the unique regenerative capacity of olfactory neurons, quantifying biophysical parameters in developing neurons through physiological techniques. His interdisciplinary approach combines electrophysiology, molecular biology, immunohistochemistry, and anatomical methods to address fundamental questions about olfactory coding and neuronal development. His publications demonstrate sustained focus on olfactory neurobiology, with recent work exploring neurogenesis, cortical organization, and the role of olfactory receptors in systemic physiology. The research has expanded to include microbial interactions with host physiology and advanced imaging techniques for protein structure analysis.

Jessie Galasso-Carbonnelمشاهده پروفایل

استادیار

• Software Engineering
• Software Reverse Engineering
• Knowledge Extraction
• +۵ مورد دیگر

Jessie Galasso-Carbonnel is an Assistant Professor in the Department of Electrical and Computer Engineering at McGill University's Faculty of Engineering. Her research focuses on software reverse engineering, knowledge extraction, variability management, and software repository mining. She holds a Ph.D. in Computer Science from the University of Montpellier (2018) and completed postdoctoral research at the French National Institute for Sustainable Development (IRD) and the University of Montréal's Geodes group. She is currently co-chairing several international conferences and workshops, including the Poster Track at MODELS’24 and the Doctoral Symposium at SPLC’24. Her academic background includes: Ph.D. in Computer Science, University of Montpellier (2018) Postdoctoral Researcher at IRD (2019–2020) and University of Montréal (2020–2023) Recipient of IVADO Postdoctoral Research Funding (2020) Research interests span: Software product line engineering Formal concept analysis AI-driven code recommendation systems Domain-specific language design Reproducible software development practices Recent contributions include advancements in: Automated repair of semantic errors in model transformations Social diversity metrics for collaborative problem-solving Low-code development frameworks for AI pipelines She actively contributes to the academic community through roles such as PC member for SANER’25 and co-chair of multiple international workshops. Her work intersects software engineering, AI, and formal methods to advance scalable and accessible software development practices.

Martin Robillardمشاهده پروفایل

استاد

• Software Engineering
• Information Privacy
• Human-Computer Interaction
• +۴ مورد دیگر

Martin Robillard is a Professor at McGill University's School of Computer Science, where he leads the McGill Software Technology Lab. He holds a Ph.D. from the University of British Columbia. His research focuses on software engineering, emphasizing human aspects of development, including documentation design, test suite quality, and information privacy. He has authored the textbook Introduction to Software Design with Java and developed the JetUML tool, recognized with the 2024 ACM SIGSOFT Influential Educator Award. He has co-chaired major conferences (FSE 2012, ICSE 2017) and is a Distinguished Member of the ACM. Research Interests: His work bridges software engineering, AI, and HCI, addressing challenges in API usability, automated documentation generation, and privacy-preserving software design. Recent projects include dynamic documentation tools like Casdoc and studies on developer documentation formats. Professional Activities: He serves on editorial boards for IEEE TSE and Empirical Software Engineering, and chairs workshops like DySDoc. His contributions include over 100 publications, six SIGSOFT Distinguished Paper Awards, and leadership in software engineering education. Teaching: Teaches courses on software design (COMP 303), information privacy (COMP 555), and software architecture. His courses emphasize practical skills and ethical considerations in software development. Labs & Collaborations: The McGill Software Technology Lab investigates knowledge discovery in software systems, with projects on API documentation, test quality, and privacy in health contexts. Collaborators include industry partners like ActiveEon and General Motors.

Animesh Rayمشاهده پروفایل

استاد

• Systems Biology
• Cancer Biology
• Genetics
• +۴ مورد دیگر

Animesh Ray is the W. M. Keck Foundation Professor of Systems, Computational, and Molecular Biology at the Riggs School, Keck Graduate Institute (KGI). He holds adjunct roles at the University of California, San Diego (2001–2004) and visiting faculty positions at Caltech. His research spans systems biology, cancer biology, and synthetic biology, with a focus on non-coding RNAs, chromosome instability, and Huntington's disease. Dr. Ray earned his PhD in Microbial Genetics from Monash University (Australia) and conducted postdoctoral work at the University of Oregon and MIT. He was a faculty member at the University of Rochester (1991–2001). Research highlights include discovering the first maternal-effect embryo pattern gene in plants and cloning the DCL1 gene (a key microRNA biogenesis gene) with his student Teresa Golden. His work in DNA computing with Dr. Mitsunori Ogihara was featured in the New York Times and the book One Digital Day . Current projects involve using machine learning to study antigen-antibody interactions and systems biology approaches to cancer drug resistance. Dr. Ray has advised numerous students, including Stephen Schauer (discoverer of plant Dicer genes DCL2-4). He has authored over 100 publications and holds patents related to plant genetics. Beyond academia, he is an accomplished street photographer, with works published in Street Photography Magazine .

Ron Raabمشاهده پروفایل

استاد

• Biotechnology
• Microbiology
• Infectious Disease Research
• +۴ مورد دیگر

Ronald W. Raab is a Professor in the ISAT (Interdisciplinary Studies in Applied Sciences and Technology) department at James Madison University's College of Integrated Science & Engineering. His academic roles include teaching biotechnology and courses on weapons of mass destruction (WMD) awareness, alongside serving as a regional HazMat responder and educator for local fire departments. He also trains National Guard Civil Support Teams and volunteers as a firefighter. Education: Postdoctoral studies at DNAX Research Institute, Ph.D. and M.S. from Texas A&M University, and B.A. from UC Santa Barbara. Research Focus: Cloning and characterization of genes from pathogenic bacteria and viruses for vaccine/therapeutic applications. Current projects target lacritin protein variants for dry eye syndrome and bacterial eye infection treatments. His work intersects microbiology, ophthalmology, and biotechnology. Publications: Over 20 peer-reviewed articles (2006–2018) focus on lacritin structure/function, antimicrobial mechanisms, and bed bug population genetics. Recent work explores lacritin's role in autophagy and epithelial repair mechanisms. Certifications: Certified WMD Radiological/Nuclear Awareness Instructor (Center for Domestic Preparedness), Radiological Response Training (Virginia Emergency Management), and Hazardous Materials Education. Professional Contributions: 15 years in biotech R&D prior to academia, including roles at IDEC Pharmaceuticals and Affymax Research Institute. Collaborates on National Guard Civil Support Team training programs and maintains affiliations with U.S. Army Medical Research Institute of Infectious Diseases.

• Criminal Law
• Medical Ethics
• Cybercrime
• +۳ مورد دیگر

Javier García González is a Full Professor of Criminal Law at CEU Cardenal Herrera University (UCH CEU), where he has served since 1994. He currently holds a Chair in Criminal Law and serves as the General Secretariat of the UCH. He earned his PhD in Law from the University of Valencia in 1999, completing his thesis on the criminal limits of biotechnological advances, which won the Royal Academy of Doctors' award for best doctoral thesis in Social and Legal Sciences. His research spans two primary areas: the criminal regulation of medical advancements in genetics and the legal response to cybercrime and internet-related offenses. Notable studies include works on cyberbullying, gender-based violence via digital platforms, and privacy infringements. He has conducted research stays at institutions such as the University of Glasgow, University of Florence, and the University of Bologna, among others. He has led projects like the Valencia-funded 'Gaps in Protection and International Assistance to Girls Associated with Armed Groups' (2022–2024) and the Madrid-funded 'Judicial Cooperation in Environmental Matters' (2024–2026). His recognitions include positive evaluations from the National Commission for Research Activity (CNEAI), ANECA accreditation for Full Professorship, and multiple grant-funded research initiatives. Education: PhD in Law (University of Valencia, 1999) Awards: Best Doctoral Thesis Award (1999), ANECA Full Professorship Accreditation Grants/Projects: MEC-funded Cybercrime Project (2011–2014), UCH CEU Project (2022–2024), URJC Environmental Justice Project (2024–2026) His work bridges legal theory with practical applications, addressing modern challenges in criminal law, technology, and social justice.

• Computer Science
• Software Engineering
• Algorithms
• +۳ مورد دیگر

Gonzague Yernaux is a Research Professor at the University of Namur's Faculty of Computer Science, affiliated with the Namur Digital Institute. He holds a Doctorate and a Master's degree in Computer Science from the same institution. His research focuses on programming paradigms, logic programming, algorithm optimization, and educational technology. Yernaux has contributed to projects like Algorithmic equivalence and developed tools such as Manim-DFA and Scrimmo. He has presented at international conferences and received awards including the Jean Fichefet Prize (2017) and the Student Encouragement Award (2022). Education : Doctorate, University of Namur (Year unspecified) Master of Computing (Computer Science), Faculty of Computer Science, University of Namur (2015–2017) Research Interests : His work spans logic programming, software engineering, and algorithm design. Key areas include predicate anti-unification, bipartite matching optimization, and semantic clone detection. He also explores educational applications, such as using escape games to teach computer science concepts. His research often combines theoretical frameworks with practical software tools. Grants & Activities : He leads the project Algorithmic equivalence by generalization-driven transformations of logic programs . Active in academic events, he has participated in the International Conference on Advances in Computing Research (2025), the Belgium-Netherlands Software Evolution Workshop (2024), and organized presentations on topics like predicate anti-unification and bipartite matching. Labs & Teams : Associated with the Namur Digital Institute, his work integrates interdisciplinary collaborations in computer science and software development.

Simon Connمشاهده پروفایل

استاد

• Molecular Biology
• Cancer Biology
• Circular RNA Research
• +۴ مورد دیگر

Professor Simon Conn is a Full Member of the College of Medicine and Public Health and the Flinders Health and Medical Research Institute at Flinders University. With expertise in molecular and cellular biology, he leads research on circular RNAs (circRNAs) and their implications in cellular development and cancer, with significant contributions published in top journals including Cell, Nature Biotechnology, and Nature Reviews Cancer. Dr. Conn completed his Bachelor of Biotechnology (Hons) at Flinders University in 2006 and pursued postdoctoral research at the European Molecular Biology Laboratory in France and the Centre for Cancer Biology in Australia. His academic journey demonstrates a transition from plant molecular biology to human cancer research, with a focus on RNA mechanisms. Professor Conn's research primarily investigates circular RNAs and their roles in gene regulation, with particular emphasis on cancer biology (brain cancer, prostate cancer), stem cell biology, and transcriptomics. His work has revealed how circRNAs impact cellular development pathways and contribute to oncogenesis, establishing him as a leader in this emerging field of RNA biology. His recent publications demonstrate a clear progression from fundamental circRNA biology to translational applications, with significant contributions to bioinformatics tools for circRNA analysis, understanding circRNA roles in cancer mechanisms, and developing circRNA-based diagnostic and therapeutic approaches. The research shows strong interdisciplinary integration between molecular biology, bioinformatics, and cancer therapeutics. Australian Research Council Future Fellowship NHMRC-project funding Over $2M in peer-reviewed research grants in the past 3 years h-index of 21 with over 80 citations per article Professor Conn has successfully supervised 12 graduate students across principal and associate supervisions, including Laura Gantley who received the University Medal in April 2023. His laboratory has secured substantial research funding and produced high-impact publications that have significantly advanced the understanding of RNA biology in disease contexts. Based at the Flinders Health and Medical Research Institute, Professor Conn leads a research team within the Alternative Splicing in Human Pathologies Laboratory, investigating RNA biology with direct implications for cancer diagnostics and therapeutics. His work contributes to UN Sustainable Development Goals related to good health and well-being through advancing precision medicine approaches.

Nata Stulovaمشاهده پروفایل

پژوهشگر

• Software Engineering
• Formal Methods
• Natural Language Processing
• +۳ مورد دیگر

Nata Stulova is a Researcher currently working as a staff research scientist at MacPaw's Technological R&D Center, focusing on software engineering research involving formal and informal program specifications. Formerly, she held academic roles including senior postdoctoral researcher at the University of Bern (SCG), researcher at EPFL's LARA Lab, and PhD work at the Technical University of Madrid (UPM). Her research spans software documentation consistency, NLP applications, runtime verification, and low-code tools. She has led multiple projects addressing code comment quality, empirical studies on documentation practices, and tool development for requirements engineering. Despite transitioning to industry in 2022, she maintains active collaboration with academia, publishing in top conferences like ICSE and IEEE Transactions. She holds a PhD in Computer Science from UPM and has authored numerous peer-reviewed articles and conference papers. Her work emphasizes bridging academic research with industry applications, particularly in software analysis and developer productivity. Education: PhD in Computer Science, Technical University of Madrid (2018) MSc in Artificial Intelligence, Technical University of Madrid (2013) BSc in Applied System Analysis, NTUU "KPI" (2012) Research Interests: Her work focuses on improving software quality through automated documentation tools, runtime verification techniques, and low-code solutions for requirements engineering. She explores NLP methods for detecting inconsistent or outdated comments and optimizing static analysis efficiency. Recent projects include SwiftEval (LLM-generated code evaluation) and RepliComment (cloned comment detection). She also emphasizes practical applications of formal methods in dynamic languages like Prolog and Python. Grants & Funding: ASA: Agile Software Assistance TRACES: Resource-Aware Software Tools N-GREENS: Energy-Efficient Software Labs/Teams: Core member of the Ciao system development team at IMDEA Software Institute, contributor to the Software Composition Group (SCG) at UniBe, and collaborator with MacPaw's TR&D team on industry-focused R&D.

Ying Zouمشاهده پروفایل

استاد

• Software Engineering
• Software Maintenance and Evolution
• Empirical Studies
• +۷ مورد دیگر

Dr. Ying Zou is a Professor and Canada Research Chair (Tier II) in Software Evolution at Queen’s University’s Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computing. She is a Visiting Faculty Fellow at IBM Centers for Advanced Studies (CAS) and a member of IEEE. Her research focuses on software engineering, maintenance, empirical studies, and service-oriented computing, with notable contributions to refactoring patterns, performance analysis, and developer tooling. Education: BEng from Beijing Polytechnic University (China), MEng from Chinese Academy of Space Technology (China), and PhD from the University of Waterloo (Canada). Research interests include software evolution dynamics, code clone analysis, and optimizing developer workflows. Notable achievements include the 2014 IBM CAS Research Faculty Fellow of the Year and two IBM Faculty Awards (2007, 2008). Her work bridges empirical software engineering with practical industrial applications. Awards: Canada Research Chair, IBM Faculty Awards, IBM CAS Fellow Grants: IBM CAS collaborations, cross-disciplinary research funding Labs/Teams: Active contributor to the Software Evolution and Analysis Lab (SEAL), focusing on empirical studies and tool development for software maintenance challenges.

Hubert Buch-Hansenمشاهده پروفایل

دانشیار

• Sustainability Transitions
• Degrowth Transformations
• Political Economy
• +۳ مورد دیگر

Hubert Buch-Hansen is an Associate Professor in the Department of Social Sciences and Business at Roskilde University. His research focuses on sustainability transitions, degrowth transformations, and critical realism. He co-authored the influential book ' Deep Transformations: A Theory of Degrowth ' (2024), which explores socio-economic paradigm shifts. His work integrates political economy, corporate networks analysis, and philosophy of science, emphasizing institutional critique and alternative economic frameworks. Research interests include degrowth theory, corporate market control dynamics, and the philosophy of science. Key contributions address the interplay between capitalism, environmental policy, and sustainable welfare. He received the Cheryl Frank Memorial Prize (2021) for his book ' Critical Realism: Basics and Beyond ' and the Lærebogsprisen (2022) for pedagogical excellence. He participates in major research projects like CLONE: Consequences of Longterm Organizational Embeddedness (2023–2025) and Longlinks: Longitudinal Elite Networks (2018–2023). His datasets, such as ' Data and Code for: The Chemical Brothers ', explore historical corporate networks in Europe. Buch-Hansen actively engages in academic seminars, including the Green Futures Seminar Series , and publishes widely in journals like Ecological Economics and Globalizations . His work bridges theoretical innovation with practical implications for post-growth societies.

• Software Engineering
• Machine Learning
• Precision Agriculture
• +۷ مورد دیگر

Önder Babur is an Assistant Professor in the Department of Information Technology at Eindhoven University of Technology. His research focuses on software engineering, machine learning applications, precision agriculture, and digital twin technologies. He has contributed to projects involving business process modeling, drone analytics, and energy market methodologies. Babur collaborates with institutions like Wageningen University & Research and has supervised PhD candidates in generative AI approaches and digital twin systems. His research interests span model analytics, clone detection, API usage analysis, and low-code platforms. Notable projects include an empirical study of business process models on GitHub and foundational work in digital twins for energy markets. Babur has co-developed datasets for drone imagery analysis and systematic reviews of food recommender systems. His work bridges theoretical software engineering advancements with practical applications in agriculture and energy systems. Advising PhD candidates include Gürkan Soykan (digital twins in energy markets) and Jeroen Doornbos (generative AI in drone analytics). Projects emphasize collaborative frameworks like SAMOS for model management and Apache Spark-based distributed analytics. Babur’s contributions span 45+ peer-reviewed publications and two active PhD supervisions.

Michael Godfreyمشاهده پروفایل

استاد

• Software Engineering
• Software Evolution
• Empirical Studies
• +۵ مورد دیگر

Michael Godfrey is a Professor at the University of Waterloo's David R. Cheriton School of Computer Science, affiliated with the Department of Electrical and Computer Engineering. His work focuses on software engineering, empirical studies of software systems, code review practices, and open-source software ecosystems. He holds a Ph.D., M.Sc., and B.Sc. from the University of Toronto (1997, 1988, 1986). Research interests include software evolution, mining software repositories, provenance tracking, code duplication analysis, and program comprehension. He actively explores how developers interact with code reviews, documentation systems, and modern CI/CD pipelines. Recent work investigates app store software ecosystems, Bash scripting vulnerabilities, and deep learning API testing. Publications span empirical studies of developer communities (e.g., Stack Overflow analysis), architectural teaching methods, and automated testing techniques like documentation-guided fuzzing. His work bridges theory and practice, addressing challenges in large-scale systems maintenance and developer productivity. Leverages tools like Elasticsearch for repository mining and explores anomaly detection in software development. Engaged in curriculum development for software architecture education and has contributed to conferences like MSR and ICSE.