Find Academic Supervisors

José Miguel RojasView profile

Lecturer

• Automated Software Testing
• Search-Based Software Engineering
• Empirical Software Engineering
• +3 more

Dr. José Miguel Rojas is a Lecturer in Software Testing at the University of Sheffield's Department of Computer Science. He holds a PhD from the Technical University of Madrid and has held roles including Research Associate at the University of Sheffield and Lecturer at the University of Leicester. His research focuses on automated software testing, search-based techniques, and education in software engineering. Education: PhD in Software and Systems (Technical University of Madrid, 2013). Research Interests: Automated test generation, mutation testing, empirical software engineering, and teaching methodologies for testing. He leads the development of tools like EvoSuite and Code Defenders , which advance unit test generation and education through gamification. Key Publications include work on test suite generation effectiveness, mutation testing games, and accessibility testing for mobile apps. Awards include ACM Distinguished Paper Awards for contributions to testing methodologies. Grants: PI on EPSRC-funded projects like 'Accelerating Software Development using Gamification' and Co-PI on the UKRI Trustworthy Autonomous Systems Node. Labs/Teams: Active in the Testing Research Group and contributes to the Code Defenders educational platform.

Hugo LedouxView profile

Researcher

• 3D Geoinformation
• Urban Data Science
• Remote Sensing
• +3 more

Hugo Ledoux is an academic affiliated with the Faculty of Architecture and the Built Environment at Delft University of Technology, specializing in Urban Data Science. His research focuses on 3D geospatial modeling, including CityGML standards, terrain analysis, and automated reconstruction of urban structures. He has contributed to projects like the DeltaDTM coastal terrain model and the cjdb database solution for CityGML. Education: Not explicitly detailed in text, but inferred through academic roles and publications. Research interests emphasize 3D geoinformation systems, remote sensing applications, and urban data science. His work addresses challenges in 3D city models, building reconstruction, and geospatial validation tools like Val3dity. Recent efforts include improving global terrain models using ICESat-2 and GEDI lidar data. Publications span automated building reconstruction workflows, terrain accuracy assessments, and semantic-guided facade modeling. Awards include the Best Presentation at 3DGeoInfo 2020 and the U.V. Helava Award for Best Paper in 2011. Ledoux has supervised 4 academic works and actively participates in conferences, editorial activities, and open-source software development for geospatial applications. Labs/Teams: Involved in TU Delft’s 3D geoinformation research, contributing to tools like 3dfier and CityJSON for 3D data interoperability.

David Chaves-FragaView profile

Assistant Professor

• Knowledge Graphs
• Data Integration
• Semantic Web
• +4 more

David Chaves-Fraga is an Assistant Professor at Universidade de Santiago de Compostela (Spain), affiliated with CiTIUS (Center for Intelligent Technologies) and a research collaborator at KU Leuven's DTAI group. His expertise lies in Knowledge Graph Construction (KGC), focusing on declarative mapping rules, data integration, and semantic web technologies. He completed his PhD at Universidad Politécnica de Madrid in 2021, researching Knowledge Graph Construction from heterogeneous data sources. Education PhD in Artificial Intelligence, Universidad Politécnica de Madrid (2016–2021) Master in Artificial Intelligence, Universidad Politécnica de Madrid (2015–2016) Bachelor in Computer Science, Universidade de Santiago de Compostela (2011–2015) Research Interests Dr. Chaves-Fraga specializes in optimizing data integration systems using declarative rules (e.g., RML), scalable KG materialization, and benchmarking tools like KROWN. He emphasizes reproducibility and sustainability in KG creation, advocating for community-driven standards. His work bridges theory and practice, addressing challenges in real-world KG adoption. Contributions He co-chairs the W3C Knowledge Graph Construction Community Group, organizes workshops like KGC and Sem4Tra, and coordinates initiatives like Open Summer of Code. His tools (e.g., SDM-RDFizer, RMLdoc) are widely used in the semantic web community. Key themes include RDF-star generation, SHACL constraint extraction, and ontology-mapping interoperability.

Kevin K. AriënView profile

Professor

• Virology
• HIV Research
• Arboviruses (Chikungunya, Dengue)
• +4 more

Dr. Kevin K. Ariën is a Professor of Virology at the University of Antwerp and Head of the Department of Biomedical Sciences at the Institute of Tropical Medicine Antwerp (ITM). He specializes in virology, with a focus on HIV, arthropod-borne viruses (e.g., Chikungunya, Dengue), and emerging pathogens like SARS-CoV-2. His research spans viral fitness, transmission mechanisms, molecular interactions, and diagnostic tool development. He leads ITM's Virology Unit and directs the WHO Collaborating Centre for HIV/AIDS Diagnostics. Education: Master's (Vrije Universiteit Brussel, 2001), PhD (University of Antwerp, 2005). Affiliations: ITM, University of Antwerp, Outbreak Research Team, Insectary Core. Research interests include virus-host-vector interactions, molecular diagnostics, and (re-)emerging viruses. His team collaborates globally on field applications of diagnostics and reservoir studies. He advises on viral diagnostics and has received the 2015 Royal Flemish Academy Science Communication Prize. Key contributions: Ebola diagnostics during West African epidemics, development of rapid diagnostic tests, and studies on mpox and SARS-CoV-2 immune responses.

Herman BruyninckxView profile

Professor

• Robotics
• Mechatronics
• Bayesian Sensor Processing
• +10 more

Herman Bruyninckx is a Professor at the Faculty of Engineering Sciences , KU Leuven , where he also serves as Vice-Chair of the Department of Mechanical Engineering and head of the Robotics, Automation and Mechatronics (RAM) subdivision. His research focuses on integrating formally represented domain knowledge into robotic systems for real-time, self-explanatory, and certifiable control. He advocates for open standards and software engineering practices in robotics, with a career-long emphasis on knowledge-driven robotic systems over data-driven approaches.

Lirong YanView profile

Associate Professor

• Magnetic Resonance Imaging (MRI)
• Neurovascular Imaging
• Cerebrovascular Disease
• +4 more

Dr. Lirong Yan is a tenured Associate Professor at Northwestern University's Feinberg School of Medicine and McCormick School of Engineering. She specializes in developing MRI techniques for cerebrovascular and perfusion imaging, particularly arterial spin labeling (ASL) and 4D MRA. Her research focuses on translating innovations into clinical applications for stroke, Alzheimer’s disease, and neurodegenerative conditions. She directs the Neurovascular Imaging Technology and Translation (NITT) lab, emphasizing non-invasive diagnostic tools and imaging biomarkers. Education: PhD in Biophysics from Chinese Academy of Sciences (2010), Postdoc at UCLA (2013). Professional roles include leadership in ISMRM and American Society of Neuroradiology. Research interests span MRI sequence development, fast imaging, and clinical translation. Key areas include cerebral vascular disease, neurovascular coupling, and aging-related vascular changes. Awards include Alzheimer’s Greater Los Angeles Young Investigator Award (2018) and multiple ISMRM accolades. Active clinical trials investigate cerebrovascular dysfunction in neurodegenerative diseases, using MRI to assess collateral flow and microvascular health. Her work bridges basic science and clinical practice, advancing early detection and treatment monitoring strategies.

Caleb KemereView profile

Associate Professor

• Neuroengineering
• Data Science
• Computer Engineering
• +7 more

Caleb Kemere is an Associate Professor in the Departments of Electrical and Computer Engineering and Bioengineering at Rice University. His work bridges neuroscience, engineering, and computer science, focusing on neuroengineering, neural decoding, and real-time brain-computer interfaces. He holds a B.S. in Electrical Engineering (with Honors) and a B.A. in Economics from the University of Maryland, College Park, and a Ph.D. in Electrical Engineering from Stanford University. Before joining Rice in 2011, he was a postdoctoral fellow at the Keck Center for Integrative Neurosciences at UCSF. His research explores hippocampal function in spatial navigation and memory, signal processing for neural interfaces, and developing technologies like miniature microscopes and low-power sensors. He has pioneered frameworks such as Spyglass for reproducible neuroscience research and RealtimeDecoder for online neural decoding. Kemere has received prestigious awards including the NSF CAREER Award (2013), HFSP Young Investigator Award (2014), and BRAIN: EAGER Award (2015). His grants include a five-year NSF grant to study Deep Brain Stimulation (DBS) and a neural engineering IGERT grant. His lab, the Realtime Neural Engineering Lab (RNEL), develops tools for understanding and modulating neural activity. Ongoing work addresses closed-loop brain stimulation, environmental uncertainty modeling in foraging behavior, and sleep-based memory consolidation.

Doitsidis EleftheriosView profile

Associate Professor

• Multirobot Systems
• Autonomous Vehicles
• Control Systems
• +5 more

Dr. Eleftherios Doitsidis is an Associate Professor at the School of Production Engineering & Management of the Technical University of Crete (TUC) and a member of the Intelligent Systems & Robotics Laboratory. Previously, he served as faculty at the Department of Electronic Engineering at Hellenic Mediterranean University. His expertise spans multirobot systems, autonomous vehicle control, and computational intelligence. He holds a robust record of EU and national research project involvement. Research Interests: Specializes in multirobot team coordination, autonomous navigation systems for UAVs/AUVs, control systems design, and computational intelligence applications. Recent work focuses on energy-efficient path-planning for swarms, educational robotics frameworks like HYDRA, and digital twin integration in autonomous systems. Publications Trends: His 150+ publications address cutting-edge topics including: Autonomous vehicle control architectures Modular robotics for STEM education Optimization algorithms for multirobot systems Energy efficiency in manufacturing systems Advising & Projects: Lead researcher on numerous funded projects involving UAV/AUV missions, swarm robotics, and educational technology. Active in collaborative research with institutions like the University of South Florida. Labs & Groups: Leads the Intelligent Systems & Robotics Lab at TUC, developing advanced robotic platforms and educational tools. Maintains an open-access research portal at doitsidis.tuc.gr .

Janet FranklinView profile

Professor

• Landscape Ecology
• Global Change Biology
• Conservation Biogeography
• +3 more

Janet Franklin is the Endowed Campanile Foundation Professor of Geography at San Diego State University (SDSU), affiliated with the College of Arts and Letters and the Center for Open Geospatial Sciences. Her research focuses on Landscape Ecology, Global Change Biology, and Conservation Biogeography, addressing ecological resilience to human-induced environmental changes. She holds a Ph.D. in Geography from the University of California, Santa Barbara (1988). Franklin’s career includes roles as Distinguished Professor Emerita at UC Riverside, Distinguished Biogeographer, and Adjunct Professorships at Arizona State University and the University of Queensland. She has led interdisciplinary projects on species distribution modeling, climate change impacts, and geospatial technologies. Her research emphasizes understanding plant community dynamics in forests, shrublands, and other ecosystems under global change. Collaborations with international scholars and practitioners drive solutions to ecological challenges. Notable awards include the James J. Parsons Award (2020), election to the National Academy of Sciences (2014), and Distinguished Fellow of the International Biogeography Society (2024).

• Robotic Vehicles
• Computational Intelligence
• Cooperative Control and Optimization
• +3 more

Lefteris Doitsidis is an Associate Professor at the School of Production Engineering and Management, Technical University of Crete. He holds a PhD in Production and Management Engineering from the same institution (2008), with prior academic positions at the Department of Electronics, Hellenic Mediterranean University. His professional journey includes visiting scholar roles at the University of South Florida, USA. Research focuses on robotic systems, including autonomous navigation of UAVs/AUVs, multirobot teams, computational intelligence, and educational robotics. He leads the Intelligent Systems and Robotics Laboratory, developing tools like HYDRA for STEM education and frameworks for industry 4.0 applications such as bin-picking and precision agriculture. His work integrates control systems optimization, energy efficiency in manufacturing, and digital twin technologies. Over 65 publications span journals, conferences, and books, emphasizing practical implementations like ROS-based autonomous vehicle testbeds and energy management systems for electric vehicles. Key contributions include UAV path planning algorithms, swarm robotics coordination, and sensor fusion techniques. Current research trends emphasize sustainability in manufacturing, educational robotics platforms, and autonomous systems validation through advanced algorithms like Deep Deterministic Policy Gradient.

Margaret KippView profile

Associate Professor

• Social Tagging
• Metadata
• Semantic Web
• +3 more

Margaret E. I. Kipp is an Associate Professor in the School of Information Studies at the University of Wisconsin-Milwaukee. She holds a PhD and MLIS from the University of Western Ontario, and a BSc in Computer Science from the University of Ottawa. Her research focuses on social tagging, metadata, semantic web technologies, and information organization systems. Education: PhD, 2009: Library and Information Science, University of Western Ontario MLIS, 2002: University of Western Ontario BSc, 1999: Computer Science, University of Ottawa Research interests include: Metadata design and standards Semantic web applications Social tagging practices Information retrieval systems Classification systems Her recent work explores metadata schemes for cultural heritage materials like Chinese rubbings data, linked data models for libraries, and user behavior in social tagging platforms. She has published widely on topics such as collaborative tagging effectiveness in medical collections and mappings between MARC standards and linked data formats. Dr. Kipp is affiliated with the Information Organization Research Group and teaches courses in information organization, metadata, and database management.

Titus von der MalsburgView profile

Assistant Professor

• Psycholinguistics
• Cognitive Modeling
• Eye-Tracking
• +12 more

Titus von der Malsburg is a tenure-track Junior Professor of Psycholinguistics and Cognitive Modeling at the Institute of Linguistics, University of Stuttgart . His research focuses on incremental sentence comprehension, implicit gender biases, scanpath analysis, and computational modeling of language processing. He employs experimental methods like eye-tracking, ERP, and Bayesian statistics to investigate how humans integrate linguistic and cognitive cues during reading. Education : PhD in Cognitive Science (University of Potsdam), with postdoctoral positions at UC San Diego, University of Oxford, and University of Potsdam. His work spans psycholinguistics, cognitive science, and natural language processing, with a strong emphasis on reproducibility and open-source software development. He has contributed to debates on agreement attraction, semantic parsing, and the role of conversational principles in cognitive biases. His lab uses advanced eye-tracking equipment and promotes technical rigor in research practices. Recent publications highlight his contributions to understanding memory decay in syntactic dependencies, semantic attraction effects, and scanpath regularity as a predictor of reading comprehension. The lab actively seeks collaborators aligned with its focus on technical quality and open science. Notably, he clarifies his name’s correct formatting to avoid common misattributions.

Janelle JenstadView profile

Professor

• Shakespeare
• Renaissance drama
• London studies
• +3 more

Dr. Janelle Jenstad is a Professor in the Department of English at the University of Victoria, affiliated with the Faculty of Humanities. Her research focuses on Shakespeare, Renaissance drama, London studies, digital humanities, and early modern print culture. She leads major projects such as The Map of Early Modern London (MoEML), a SSHRC-funded digital atlas, and Linked Early Modern Drama Online (LEMDO), an open-access platform for early modern plays. Jenstad has held significant editorial roles, including General Editor of MoEML and Coordinating Editor of the Internet Shakespeare Editions (ISE). Her work emphasizes interdisciplinary collaboration, digital preservation, and pedagogical innovation. Education: BA (Victoria), MA and PhD (Queen's University). She has taught at institutions including Queen's University and the Stratford Festival's Summer Academy. Her grants include SSHRC Insight Grants and a Bibliographical Society Major Fellowship. Jenstad's research spans digital encoding, geospatial analysis, and the intersection of technology with early modern studies. Key achievements include the release of MoEML v.7.0 (2022) and the LEMDO anthology series. She supervises teams of researchers and encoders, fostering global pedagogical partnerships. Jenstad’s awards highlight her contributions to digital scholarship and humanities research sustainability. She actively engages in public lectures, exhibitions, and digital humanities advocacy. Her academic advising focuses on digital editing, textual studies, and early modern performance. Jenstad’s work bridges traditional humanities research with cutting-edge digital methods, emphasizing accessibility and interdisciplinary collaboration.

Iacopo ColonnelliView profile

Assistant Professor

• Scientific Workflow Systems
• High-Performance Computing
• Cloud Computing
• +6 more

Iacopo Colonnelli is an Assistant Professor (RTDA) at the University of Turin's Computer Science Department and a member of the Alpha Research Group (Parallel Computing) and CINI HPC Key Technologies and Tools lab. He has established himself as a leading researcher in scientific workflow systems, bridging cloud computing and high-performance computing environments. His research focuses on workflow modeling and management in heterogeneous distributed architectures, with significant contributions through open-source tools including StreamFlow (a container-native workflow management system), Jupyter Workflow, and CAPIO (middleware for I/O streaming). These tools enable hybrid workflows execution on cloud-HPC infrastructures and have gained recognition through multiple European projects and initiatives. Colonnelli's publication record shows consistent output in top venues related to parallel and distributed computing, with recent work focusing on federated learning, confidential computing, and workflow standardization. His most recent publications (2024-2026) demonstrate strong engagement with cutting-edge challenges in cross-facility federated learning, workflow representation languages, and performance evaluation of confidential computing for bioinformatics applications. Scientific Awards: ITADATA 2023 Best PhD Thesis Award for 'Workflow models for heterogeneous distributed systems' StreamFlow selected as one of the three exploitable results of the EUPEX European project (2023) StreamFlow selected as an exploring technology by the EC Innovation Radar initiative (2023) 'Distributed Workflows With Jupyter' selected as Fall 2022 Editor's Choice by Future Generation Computer Systems journal HPC-Europa3 grant recipient for Barcelona Supercomputing Center visit (2019) HiPEAC grant recipient for ACACES 2019 Summer School (2019) As an active contributor to research infrastructure, Colonnelli serves as a member of the CWL Technical Team and founder of the CWL4HPC Working Group. He has organized multiple international conferences including PDP 2025 as program chair and CWLCon 2024. His service extends to numerous program committees for major HPC conferences and journals, demonstrating his standing in the international research community. Colonnelli leads significant contributions to multiple European research projects including Space Center of Excellence, European Pilot, EUPEX, TEXTAROSSA, ACROSS, DeepHealth, and HPC4AI, focusing on advancing HPC and AI technologies for scientific applications.

• Geographic Information Science and Technology (GIScience)
• Open Source Software for Geospatial Applications (FOSS4G)
• Natural Resources Management
• +2 more

Rafael Moreno is an Associate Professor in the Department of Geography & Environmental Sciences at the University of Colorado Denver. His expertise spans Geographic Information Science and Technology (GIScience), Open Source Software for Geospatial Applications (FOSS4G), Natural Resources Management, and Sustainable Development, with a focus on Latin America. B.S. in Forestry from Universidad Autónoma Chapingo (1982) M.S. and Ph.D. in Natural Resources Management from Colorado State University (1987, 1992) His research focuses on forest fragmentation analysis, anthropogenic pressure on ecosystems, and Decision Support Systems for sustainable forest management. He pioneered the use of FOSS4G in web-based spatial information systems, emphasizing open standards and cross-border collaboration. Recent publications highlight trends in forest conservation, land use/cover mapping, and FOSS4G applications. He has advised students on topics including forest fragmentation in Mexico and geospatial open-source solutions. Scientific awards include a Post Doctoral Fellowship with the Organization of American States—SEMARNAP (1995) He previously served as Director of the National Center for Forest Ecosystems Conservation (Mexico) and led the Master of Science in GIScience program at the University of Denver.