Find Academic Supervisors

Gilles PerrouinView profile

Research Professor

• Software Engineering
• Testing
• Artificial Intelligence
• +3 more

Gilles Perrouin is a Research Professor in the Faculty of Computer Science at the University of Namur, affiliated with the Research Center on Information Systems Engineering and the Namur Digital Institute. His expertise spans Software Engineering, Testing, Artificial Intelligence, and Machine Learning, with a focus on software product lines, configuration management, and automated testing techniques. He leads projects such as SQUAL.AI (Software Quality through Artificial Intelligence) and SmartTune (Hyper-parameter Optimization for Deep Learning). Perrouin has received awards including the Distinguished Reviewer Award (2023 and 2019) and the VAMOS 2024 ten-year Most Influential Paper Award. He actively participates in organizing conferences like the Belgium-Netherlands Software Evolution Workshop and contributes to initiatives promoting diversity in science, such as Women and Girls in Science events. His research involves advancing testing methodologies for complex systems, exploring energy-efficient neural architectures, and addressing fairness in machine learning. Collaborations span international institutions, reflecting his global impact in software engineering and AI.

• Computer Security
• Web Security
• Formal Methods
• +4 more

Lorenzo Veronese holds the position of PostDoc Researcher at the Technische Universität Wien (TU Wien), affiliated with the Department of Security Engineering within the Faculty of Informatics . His work focuses on formal methods applied to web and mobile security, including browser security mechanisms, firewall policies, and automated detection of security vulnerabilities. Education: He holds a Dr.techn. (Doctor of Technical Sciences) from TU Wien, with his 2024 doctoral dissertation titled Computer-aided formal security analysis of the Web platform . Research Interests include: Formal verification of security protocols Web platform vulnerability analysis Browser security mechanisms Automated firewall policy synthesis Mobile security (Android) Session integrity protection Publications trends show a focus on web platform security with contributions in: Exploiting Android custom tab vulnerabilities Breaking/fixing web session integrity Machine-checked browser specifications Automated detection of web threats (WPT tool) Projects include leadership in Browsec (2018–2024), W4MP (2023–2027), and IoTIO (2020–2025). He has also contributed to firewall management via FireWall Synthesizer (FWS) and ViSP . Advising: Supervised Lee A. 's 2024 diploma thesis on WebAPISpec. Active in teaching courses like Formal Methods for Security and Privacy and Introduction to Security . Lab affiliations: Member of TU Wien's Security and Privacy research group, collaborating with industry partners on practical security solutions.

Rudolf SchilderView profile

Associate Professor

• Animal Locomotion
• Comparative Physiology
• Biomechanics
• +3 more

Rudolf Schilder is an Associate Professor of Entomology and Biology at Pennsylvania State University, affiliated with the Department of Biology and Huck Institutes of the Life Sciences. His research focuses on Animal Locomotion through the lens of Comparative Physiology and Biomechanics , exploring how animals adapt morphologically and physiologically to diverse environments. Key themes include insect movement mechanics, thermal physiology, pesticide impacts, and parasite-host interactions. Current projects investigate metabolic effects of neonicotinoids on monarch butterflies, thermal tolerance in solitary bees, and biomechanics of dragonfly flight. The Schilder Lab actively recruits researchers with backgrounds in biology, engineering, and coding. Recent articles highlight interdisciplinary approaches to understanding energy use, body size scaling, and environmental stressors on insect performance.

Danny HuiView profile

Lecturer

• Data Analytics
• Data Visualization
• Social Media Analytics
• +7 more

Danny Hui is a Lecturer (Sessional Employment) at the School of Communication , Queensland University of Technology (QUT). He also serves as a Chief Investigator in QUT's Digital Media Research Centre. With over two decades of professional experience in digital projects across Hong Kong and Australia, he specializes in computational methods for data collection, analysis, visualization, and storytelling, particularly using Google Maps, YouTube APIs, and social media data. Education: Master of Science in IT Management (Chinese University of Hong Kong) Master of Digital Communication (QUT) Research & Teaching: Focus areas: Social media analytics, data-driven programming, audience analytics, and web accessibility Coordinates/teaches units like 'Coding for Communicators', 'Social Media Data Analytics', and 'Data-Driven Storytelling' Awards & Affiliations: Fellow of the Higher Education Academy (FHEA) Active in EdTech and Open Data initiatives Professional Experience: Two decades of digital project leadership in higher education and corporate sectors Extensive work with APIs, Tableau, Python, and web accessibility standards

• High Performance Computing
• MPI Programming
• Parallel Algorithms
• +2 more

Ioannis Vardas is a Researcher in Parallel Computing at TU Wien's Faculty of Informatics. His work focuses on optimizing high-performance computing systems through advanced process mapping, MPI programming, and performance analysis tools. Key research areas: Topology-aware process mapping for HPC MPI library development and optimization Performance profiling of parallel applications Resource allocation in hierarchical architectures Energy-efficient parallel computing He contributes to projects improving MPI performance tools and develops methods for efficient resource utilization in supercomputing environments.

• Earthquake Engineering
• Numerical Modeling
• Solid Mechanics
• +3 more

Prof. Dr. Abdullah Gedikli is a Professor in the Civil Engineering Department at Istanbul Technical University's Faculty of Construction. He holds a PhD in Civil Engineering from ITU and has extensive experience in academic roles, progressing from Assistant Professor (1997–2007) to Associate Professor (2008–2013) before becoming a full Professor in 2013. His research focuses on earthquake engineering, numerical modeling, and solid mechanics, with notable contributions to structural analysis, geotechnical systems, and masonry behavior. Education: PhD in Civil Engineering, Istanbul Technical University (1992–1996) MSc in Structural Engineering (Thesis), Istanbul Technical University (1987–1989) BSc in Civil Engineering, Mediterranean University (1981–1985) His research interests span seismic vulnerability assessment of infrastructure, numerical simulations of masonry and pipeline systems, and experimental studies on erosion and sediment transport. Over 30 years, he has supervised 20+ theses, including works on seismic isolation, masonry wall behavior, and soil-structure interaction. His articles address critical civil engineering challenges such as earthquake-resistant design, fluid-structure interaction in storage tanks, and hydrological modeling. Notably, his work combines theoretical modeling with experimental validation, contributing to both academic and practical solutions for infrastructure resilience. He actively teaches courses like statics and structural analysis, reflecting his commitment to both research and education.

• Evolutionary Biology
• Genetics
• Chemical Ecology
• +5 more

Hiromu Suzuki is a Research Fellow in the Department of Genetics at Yale School of Medicine. His research focuses on understanding evolutionary adaptations in insect chemosensory systems, particularly in Drosophilids and butterflies, with an emphasis on herbivory, detoxification mechanisms, and sensory receptor evolution. He investigates how genetic changes underpin ecological adaptations such as host plant specialization and defense against environmental toxins. His work combines molecular genetics, genomic analysis, and behavioral studies to explore topics like TRPA1 channel functions in sensory adaptation, olfactory receptor tuning to mustard oils, and the genomic basis of herbivory in leaf-mining flies. Recent studies include insights into how chemosensory and detoxification gene families evolve in response to ecological pressures. Key themes in his research include evolutionary genomics, chemical ecology, and the interplay between sensory systems and ecological adaptation. While no specific awards are listed, his contributions to understanding insect adaptation have advanced our knowledge of ecological and molecular mechanisms underlying species diversification. Suzuki collaborates with teams in genetics, ecology, and neurobiology, focusing on lab-based studies of model organisms like Drosophila and butterflies. His findings bridge evolutionary theory and molecular biology, offering insights into how organisms adapt to specialized niches through genetic innovation.

Andrey SobolevView profile

Researcher

• Neuroscience
• Electrophysiology
• Data Management
• +3 more

Dr. Andrey Sobolev is a PostDoc researcher at the Faculty of Biology, Ludwig Maximilian University of Munich, affiliated with the Benedikt Grothe Research Group. His work focuses on neurophysiological data management, electrophysiological data handling, and neural systems analysis. Key contributions include developing the Neo Python library for electrophysiology data handling and the G-Node Python Client for reproducible research workflows. Research interests span computational neuroscience, data management systems, and behavioral paradigms in freely moving animals. Notable publications include studies on hippocampal ensemble remapping under sensory conflicts (2021), the Sensory Island Task behavioral paradigm (2020), and metadata standards in neurophysiology (2016). Technical contributions include creating integrated platforms for electrophysiological data storage (2014) and foundational database systems for biomedical applications (2011). Collaborates widely with neuroscientists and software engineers to advance open science practices in neuroscience research.

Michalis FamelisView profile

Assistant Professor

• Software analysis
• Software design
• Empirical software engineering
• +3 more

Michalis Famelis is an Assistant Professor at the Department of Computer Science and Operations Research , affiliated with the Faculty of Arts and Sciences at Université de Montréal . He leads research in the GEODES Software Engineering Research Group , focusing on formal yet practical methods for software development. His work integrates formal verification, model-driven engineering, and empirical methods to address challenges in software design and uncertainty management. Educated at the University of Toronto (PhD 2016, MSc 2010) and the National Technical University of Athens (DiplEng 2008), he completed a postdoctoral fellowship at the University of British Columbia . He teaches courses such as IFT1025 Programming 2 and IFT6755 Software Analysis . His research projects include a Wellcome Trust-funded platform for climate-sensitive disease modeling and CRSNG grants for formal software design support. He has supervised 6 master’s students, focusing on topics like design uncertainty, API usage verification, and software product lines. Notable collaborations involve Climate-Sensitive Infectious Disease Modelling and Formal Support for Software Design . His work emphasizes improving developer workflows through tool development and empirical studies.

Fahim RazaView profile

Research Fellow

• Veterinary Science
• Apiculture
• Microbiology
• +3 more

Fahim Raza is a Research Fellow in the Department of Veterinary Pathology at the Western College of Veterinary Medicine, University of Saskatchewan. His research focuses on honeybee health, microbial pathogen detection, and innovative methods for managing bee diseases. Supervised by Dr. Elemir Simko, he investigates American foulbrood and European foulbrood diseases, antibiotic resistance in bee pathogens, and the application of artificial diets in Apis mellifera studies. His research integrates microbiological techniques with environmental and nutritional studies, addressing challenges in beekeeping and agricultural pest control. Notable projects include developing sampling methods for Paenibacillus larvae detection, evaluating the impact of oxalic acid on honeybee colonies, and exploring honeybees as models for neurodevelopmental disorders like Fetal Alcohol Spectrum Disorder. Raza’s work spans entomopathogenic fungi for pest control, gut microbiota roles in insect stress resistance, and the molecular mechanisms underlying Tephritidae fruit fly biology. His contributions advance both veterinary science and sustainable agricultural practices. Publications highlight interdisciplinary approaches to bee health, including diagnostic methodologies, antibiotic efficacy assessments, and biocontrol strategies for insects like Diaphorina citri. His research bridges laboratory studies with field applications, emphasizing practical solutions for global apiculture challenges.

Rico PiconeView profile

Associate Professor

• Control Systems
• Robotics
• Artificial Intelligence
• +5 more

Rico Picone is an Associate Professor of Mechanical Engineering and Director of the MSME program at Saint Martin's University's Hal and Inge Marcus School of Engineering. His research focuses on control systems, robotics, artificial intelligence, and real-time computing, with applications in magnetic resonance technologies and augmented human intelligence. He holds a Ph.D. from the University of Washington (2014), alongside an M.S.M.E. and B.S.M.E. from the same institution and the University of Nevada, Las Vegas, respectively. His teaching emphasizes hands-on exploration of dynamical modeling, control systems, and robotics, integrating real-world applications. Research highlights include advancing magnetic resonance force microscopy (MRFM) via hyperpolarization and exploring the philosophical dimensions of engineering's role in human-technology interaction. Recent work includes developing real-time computing frameworks for mechanical systems and investigating metastimuli in human learning through machine learning. Publications span 2024–2009, with a focus on real-time control systems, embedded software, and interdisciplinary engineering challenges. While no explicit awards are listed, his contributions reflect sustained innovation in both pedagogy and applied research. Advising and grants are not detailed in the provided text, though his role as program director suggests active engagement with student mentorship and academic leadership. His work bridges theoretical foundations with practical engineering solutions, emphasizing the ethical and societal implications of technological advancement.

Nico FranzView profile

Professor

• Biocollections Infrastructure
• Biodiversity Data Science
• Insect Systematics and Evolution
• +4 more

Dr. Nico Franz is a Professor in the Department of Ecology and Evolutionary Biology at the University of Kansas and serves as the Krishtalka Director of the Biodiversity Institute and Natural History Museum. He holds a Ph.D. in Systematic Entomology from Cornell University (2005), an M.Sc. from the University of Costa Rica (1999), and a Prediploma in Biology from the University of Hamburg (1996). His research focuses on biocollections infrastructure, biodiversity data science, insect systematics (particularly weevils), and societal engagement in science. Dr. Franz leads the development of Symbiota, an open-source software platform managing biodiversity data across over 1,900 collections. His work emphasizes equitable data access, FAIR principles, and global collaboration. Key projects include digitizing natural history collections in Guatemala and advancing taxonomy through molecular phylogenetics. He has secured NSF funding for initiatives like the Lepidoptera of North America Network (LepNet) and collaborates internationally on biorepository networks. Publications highlight his contributions to specimen management standards, taxonomic interoperability, and mosquito biodiversity. He advocates for early-career scientist involvement in data science and promotes ethical use of biodiversity data. His lab oversees the NEON Biorepository and integrates ecological observations with museum specimens to study global environmental change.

Scott HaagView profile

Academic

• Health Informatics
• Machine Learning
• Computer Vision
• +7 more

Scott Haag is an Assistant Research Professor in the Department of Computer Science at Drexel University's College of Computing & Informatics (CCI), with a co-appointment at The Children's Hospital of Philadelphia (CHOP). His work integrates computational science with pediatric health research, focusing on translational applications of machine learning and data systems. Education: PhD in Computer Science, Drexel University, 2019 MS in Ecology, Evolution, Systematics, and Population Biology, Rutgers University Graduate Certificate in Engineering Geophysics, Rutgers University BS in Natural Resources Management and Policy, Rutgers University Dr. Haag's research lies at the intersection of computer science and child health, employing techniques in machine learning, object segmentation, remote sensing, and combinatorial geometric modeling. His expertise extends to algorithm design, complexity analysis, relational database development, and the design and deployment of Application Programming Interfaces (APIs), all applied to health-informing systems. This multidisciplinary background enables innovative approaches to biomedical data challenges. No recent articles were listed in the source text, so no trend analysis can be provided. There are no scientific awards mentioned in the provided information. Dr. Haag is involved in a research-intensive academic environment at CCI, contributing to interdisciplinary projects linking computer science with healthcare. While no formal advisees or grants are listed, his affiliation with both Drexel and CHOP suggests active participation in funded research initiatives and collaborative teams focused on health informatics and computational medicine. He is associated with the research labs and infrastructure of Drexel’s College of Computing & Informatics, which are equipped with high-performance computing resources, specialized instrumentation, and robust network access, supporting advanced research in computer science and its applications.

Leif BonordenView profile

Researcher

• Interfaces in Modular Software Systems
• API Evolution and Deprecation
• API Specification and Documentation
• +3 more

Leif Bonorden is a Research Associate and Doctoral Student at the Department of Informatics, Faculty of Mathematics, Computer Science and Natural Sciences, University of Hamburg. He works within the Software Engineering and Construction Methods research group led by Professors Matthias Riebisch and André van Hoorn. His academic background includes a B.Sc. and M.Sc. in Mathematics from Technische Universität Berlin (2010-2018), with thesis work in Probability Theory and Functional Analysis. Since 2019, he has been pursuing doctoral research at the University of Hamburg while also studying for an M.A. in Higher Education. 2010-2018: Student, B.Sc. and M.Sc. Mathematics, Technische Universität Berlin 2012-2015: Student Teaching Assistant, Software Engineering group, TU Berlin 2015-2017: Assistant Researcher, FZI Forschungszentrum Informatik 2019-present: Research Associate & Doctoral Student, University of Hamburg 2020-present: M.A. Higher Education student, University of Hamburg Bonorden's research centers on API evolution and deprecation processes, with particular focus on how deprecated web APIs can be detected through tracing techniques. His work bridges theoretical software engineering with practical applications in API design and documentation. He has developed expertise in systematic mapping studies of API deprecation practices and their impact on software maintenance. His publication record demonstrates consistent focus on API-related research, with multiple systematic studies and empirical analyses. He has also contributed significantly to software reengineering knowledge through the SREBOK initiative and explored innovative educational approaches for teaching software engineering concepts through research-based learning. Active member of Software Engineering and Construction Methods research group Contributor to German Informatics Society's software reengineering special interest group Member of ACM, GI (Gesellschaft für Informatik), and DMV professional organizations Bonorden serves on multiple university committees including the Committee for Teaching and Studies, Building Committee, Faculty Council, and various examination boards for computer science programs. His teaching portfolio includes Software Design, Introduction to Software Engineering, and Bachelor Seminars in Software Engineering at both University of Hamburg and TU Berlin.

David WeintropView profile

Associate Professor

• Computational Learning
• Equity in Computing Education
• Learning Sciences
• +3 more

David Weintrop is an Associate Professor at the University of Maryland , holding a joint appointment in the Teaching & Learning, Policy & Leadership (TLPL) department within the College of Education and the College of Information Studies (iSchool) . He leads the Technology, Learning, and Leadership specialization in TLPL. His research focuses on computational learning experiences, equity in computing education, and designing technologies to broaden participation in computing. He has received NSF funding and awards, including a NSF CAREER Award and the 2022 University of Maryland Mentor of the Year award. Education: PhD in Learning Sciences from Northwestern University (advisor: Uri Wilensky), Postdoc at UChicago STEM Education (advisor: Diana Franklin), B.S. in Computer Science from University of Michigan, and prior software development experience at startups. Research Interests: Computational thinking, block-based/text-based programming transitions, culturally responsive curricula (e.g., Scratch Encore), and equity in STEM education. He collaborates with school districts (e.g., DCPS, CPS) and industry partners (e.g., VEX Robotics, Sphero). Grants & Projects: NSF awards totaling over $2.5M, including projects like API Can Code (high school data science) and Scratch Encore (elementary CS curriculum). Current work explores interest-driven data science and hybrid programming tools. Awards: NSF CAREER Award (2022), Spencer Foundation Postdoctoral Fellowship, and recognition for mentorship. His work emphasizes bridging theory and practice in K-12 computing education.