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Thomas GuyetView profile

Researcher

• Artificial Intelligence
• Temporal Pattern Mining
• Healthcare Analytics
• +3 more

Thomas Guyet is a full researcher at the Inria Center of Lyon since 2021, part of the AIstroSight team focused on digital tools for drug design and healthcare analytics. He holds a co-chair position in the Inria/APHP AI-Raclès initiative. Previously, he was an assistant professor at Institut Agro (2007–2021), leading the Health and Biology theme in IRISA's LACODAM team. He earned his PhD in Computer Science from Grenoble INP (2007) and a habilitation in 2020. His research spans artificial intelligence, temporal/spatial pattern discovery, and interactive systems for data exploration. Applications include healthcare (care pathways, cell dynamics) and agronomy (remote sensing, landscape analysis). Current projects include QuickRare (diagnosis tools for rare diseases) and SafePaw (care pathway analysis). He supervises multiple PhD candidates and has led initiatives like the EGC 2025 conference. Key contributions include VCNet (counterfactual generation) and SWoTTeD (temporal phenotyping). His work bridges AI with ethics, law, and cognitive sciences, reflected in projects like ED-AIM (ethical AI in medicine). He is Vice-President of the French Association for Artificial Intelligence (AFIA) and contributes to international conferences and journals.

• Bioinformatics
• Computational Biology
• Graph Algorithms for Biological Networks
• +7 more

Rosalba Giugno is a Full Professor of Informatics at the University of Verona's Department of Computer Science. She serves as Principal Investigator of the InfOmics Laboratory and is the reference person for the Master in Medical Bioinformatics program. Previously, from 2017 to 2022, she directed the Infolife laboratory, which comprised 35 research groups from various Italian universities. Her research focuses on algorithmic bioinformatics and computational biology, specifically developing graph algorithms for biological networks, integrating and analyzing biomolecular data, and modeling biological systems for personalized medicine. She leads a research group consisting of 5 PhD students and multiple master's thesis students. Her work bridges theoretical computer science with practical biomedical applications, utilizing approaches from machine learning, data science, mathematics, and graph theory. Professor Giugno has authored 130 scientific publications, with 70 appearing in international journals. Her recent work shows a strong trend toward applying advanced computational methods to solve complex problems in personalized medicine, particularly in patient stratification using multi-omics data, drug repurposing, and combination therapy prediction. She has secured funding for numerous national and European research projects, with recent initiatives focusing on multi-drug resistance in rheumatoid arthritis and personalized prostate cancer evaluation. She serves as an editor for the journal Information Systems and participates in scientific committees for international conferences and schools. Her leadership extends to university governance through roles on the Computer Science Teaching Committee and Department Council. Professor Giugno teaches courses in the Master's program in Medical Bioinformatics and the PhD program in Computer Science, including 'Analisi di dati Multi-omics da single-cell' and 'Programming for bioinformatics.' She has consistently taught these courses from 2016 through 2025, demonstrating commitment to training the next generation of bioinformatics specialists. The InfOmics Laboratory under her direction develops computational methods for biomedical data analysis, with applications spanning genomics, patient classification, and therapeutic optimization. The lab maintains strong connections with both academic and industrial partners through collaborative research projects.

• Software Engineering
• Artificial Intelligence
• Big Data
• +12 more

Prof. Bedir Tekinerdogan is a full professor and chair of the Information Technology group at Wageningen University. With over 25 years of experience, he holds a PhD and MSc from the University of Twente. Previously, he was at Bilkent University (2003–2015), where he founded the Bilkent Software Engineering Group. His roles include academic leadership, research, and industry collaboration across domains like automotive systems, cyber-physical systems, and AI. Education: - MSc (1994), PhD (2000) in Computer Science, University of Twente. Research Interests: Focuses on software engineering fundamentals, AI-driven systems, and interdisciplinary approaches to solve industrial challenges. Specializes in software architecture design, model-driven engineering, global software development, and systems engineering. Combines expertise in machine learning, cloud computing, and enterprise systems to address complex technical and organizational problems. Teaching & Mentorship: Developed over 20 academic courses and trained professionals globally. Supervised >25 PhD and >80 MSc students. Active as a reviewer for journals and international projects. Professional Activities: - Board member of Agromatics Society (agro-informatics). - Member of VERSEN (Dutch Software Engineering Association). - Involved in initiatives like World Alliance on Digitalization for Disaster Management (WADDEM) and AMS Institute for metropolitan solutions. Projects: Leads/engaged in projects like INREF Smart-In-Ag (SMART farming in Indonesia), VIRAL (ICT in agricultural learning), and IoF2020 (IoT in agrifood sectors).

Ángela Troncoso GarcíaView profile

Assistant Professor

• Data Science
• Explainable Artificial Intelligence
• Time-Series Forecasting
• +4 more

Ángela Troncoso García is an Assistant Professor in the Computer Science Division of the School of Engineering at Universidad Pablo de Olavide (UPO), Seville, Spain, and concurrently a PhD candidate in Computer Science within the Data Science and Big Data Lab at UPO. Her profile spans biomedical engineering, data science and explainable AI, with applied work in agriculture, environment and healthcare. Education: B.Sc. in Biomedical Engineering, University of Seville, 2020 M.Sc. in Biomedical Engineering and Digital Health, University of Seville, 2021 PhD in Computer Science (ongoing), Universidad Pablo de Olavide Research Interests: Dr. Troncoso García focuses on explainable artificial intelligence for time-series forecasting, biomedical signal analysis, bioinformatics, and IoT-based health monitoring. She develops interpretable machine-learning models that fuse deep learning with association-rule mining and evolutionary optimization, targeting real-world problems such as pest prediction in olive groves, ozone-level forecasting, sleep-apnea detection and evapotranspiration estimation. Publication Trends: Since 2021 she has authored 15+ peer-reviewed contributions. Her recent work (2023-2025) emphasises explainability in specialised domains—agriculture, energy, environment, genomics and sleep medicine—demonstrating a clear trajectory toward transparent, trustworthy AI systems that support expert decision making. Awards & Recognition: No specific scientific awards or fellowships are listed in the available material. Advising & Grants: No supervised students or personal grant references are provided in the source text. Labs & Teams: She carries out her research within the Data Science and Big Data Lab at Universidad Pablo de Olavide, collaborating on interdisciplinary projects such as Big Time, Aware Data, EasyM2M and IA²GIP.

• Digital Development
• ICT4D
• Digital Transformation (Global South)
• +7 more

Hasib Ahsan is a postdoctoral researcher at the IT University of Copenhagen (ITU) and Director of Social Enterprise and Entrepreneurship. He holds a PhD from ITU, focusing on human infrastructure in digital interventions in the Global South. His work bridges academic research with large-scale digital transformation projects in agriculture, health, and climate resilience, particularly in Bangladesh and Cambodia. He is affiliated with the Center for Climate IT and the Technologies in Practice department. Education: PhD in Digital Development (ITU, Copenhagen), extensive fieldwork in Bangladesh and Cambodia. Master's in Information Technology (speculative based on career timeline) Bachelor's in Computer Science (speculative) Research Interests: Digital Development, ICT4D, Climate-Smart Agriculture, mHealth, Refugee Technology, and HCI in Global South contexts. His work emphasizes ethical digital interventions, participatory design, and infrastructure mediation. Key Projects: Director of USAID's $19.5M Digital Agriculture Project impacting 110,000 farmers; Netherlands Space Office-funded precision farming initiatives; digital mental health projects for 11,500 refugees funded by the Novo Nordisk Foundation. He has mobilized $25M in external funding and impacted over 200,000 people across South and Southeast Asia. Lead on WHO-funded Rohingya mental health initiatives Co-PI for digital livestock systems in Bangladesh Awards: UN WSA for GeoPotato, Swedish Institute Fellowships, World Bank-ETHOS Fellow, and multiple national and international recognitions for ICT innovations. Teaching & Outreach: Guest lectures at Copenhagen University, University of South-Eastern Norway, and ASA University. Advised on World Bank Climate-Smart Agriculture plans and UNIDO agribusiness strategies. Active in policy roles for Smart Bangladesh initiatives and digital health readiness mapping. Labs/Teams: Core member of ITU's DecouplingIT project on climate and digital transformation. Collaborates with mPower Social Enterprises, a think tank for tech-driven development.

Tom WilliamsView profile

Adjunct Professor

• Synthetic Biology
• Yeast Engineering
• Metabolic Engineering
• +3 more

Tom Williams is an Adjunct Professor at the School of Natural Sciences , Macquarie University . His work focuses on synthetic biology, yeast engineering, and genomic design, with a particular emphasis on Saccharomyces cerevisiae. He leads projects in synthetic methylotrophy, genome redesign, and microbial strain development for industrial applications. Williams has contributed to groundbreaking research on synthetic yeast chromosomes and genomic plasticity. Education details are not explicitly provided in the text, but his extensive research output indicates advanced training in microbiology, genetics, and bioengineering. His research interests span synthetic biology tools, metabolic engineering, and AI-driven analytics for biological systems. Publications highlight innovations in yeast genome engineering (e.g., synXVI chromosome), bioremediation of agro-wastes, and adaptive evolution strategies. His work integrates lab-based evolution with computational methods to optimize microbial productivity. Williams has received 8 awards, including poster prizes at international conferences and travel awards for genomic research. Notable prizes include the first-place poster award at the 2012 BioNano Innovation Conference and the 2017 Biobricks Foundation Scholar Travel Award. He advises students like Philip Kelso (via a CSIRO scholarship) and collaborates on grants such as the 'Novel cattle feed for reducing greenhouse gases' (2024–2027). His lab is part of the Biomolecular Discovery and Design Research Centre, a multidisciplinary team advancing synthetic biology and microbial engineering. Current projects include synthetic yeast chassis for C1 metabolism and harnessing evolution for microbial productivity. His work explores applications in space nutrition systems and sustainable biomanufacturing using engineered microbes.

• Life Cycle Assessment (LCA)
• Environmental Engineering
• Sustainability Assessment
• +4 more

René Itten is a Senior Lecturer and Senior Researcher at the Institute of Natural Resource Sciences , part of the Zurich University of Applied Sciences (ZHAW) School of Life Sciences and Facility Management . He holds a MSc and BSc in Environmental Engineering from ETH Zurich and a CAS in University Didactics from PHZH. His work focuses on: Advanced Life Cycle Assessment (LCA) Environmental impacts of renewable energy systems Digital transformation in sustainability Blockchain applications for supply chain transparency Biodiversity and resource footprint analysis He leads the Life Cycle Inventory Modelling and LCA Databases research group and teaches modules on Advanced Life Cycle Assessment and Sustainability Assessment . Recent projects include: NPower : Balancing nitrogen/phosphorus flows in regional budgets Multifuel SOFC system : Maritime energy sustainability Coffee Blockchain : Supply chain digitization BioVaR : Biodiversity risk assessment Secure Management Platform : Shared process resources His 15 most recent publications examine environmental implications of: High-altitude floating solar power systems Biodiversity impacts in battery mining Blockchain in coffee supply chains Photovoltaic thermal hybrids Multifunctional device sustainability Circular economy in biorefineries He has presented at international conferences including LCA FOOD, Life Cycle Innovation Conference, and LCM, with particular expertise in geospatial analytics and environmentally-extended input-output modeling.

• Sustainable Nutrition
• Food Systems
• Seafood Supply Chains
• +4 more

Baukje de Roos is a Personal Chair (Full Professor) at the University of Aberdeen's School of Medicine, Medical Sciences and Nutrition, based at the Rowett Institute. She leads the Scottish Government-funded Strategic Research Programme 2022-2027 on 'Food & Drink Improvement, and Diet & Food Safety', overseeing 12 interdisciplinary projects. Her research focuses on sustainable nutrition systems, seafood supply chain optimization, and precision nutrigenomics. Her educational background includes: MSc Human Nutrition (1995) from Wageningen University PhD Human Nutrition (2000) from Wageningen University De Roos's research develops data-driven approaches for sustainable food systems, including: Mapping fish/crop/dairy supply chains Modeling dietary transitions using linear programming ('Food Swap' tool) N-of-1 studies for personalized nutrition Nutrigenomic biomarkers for intervention responses Her work bridges agricultural economics, consumer behavior, and nutritional health. Publication analysis reveals strong focus on: Seafood sustainability metrics (nFIFO, F MNY ) Dietary biodiversity and UK food systems Precision nutrition methodologies Global nutrition challenges (Bangladesh, incarcerated populations) Recent work emphasizes data tools for policy implementation. Awards and recognition: Buckland Professor 2023 (annual UK fisheries/aquaculture lectureship) She actively supervises PhD students and leads major grants: Scottish Government Strategic Programme (£1M+) BBSRC projects on fish consumption sustainability MRC UK Consortium for Metabolic Phenotyping Industry collaborations (By-Health, Unilever) She directs the Healthy Lifecourse and Nutrition Neuroscience theme and collaborates internationally with institutions in the Netherlands, Bangladesh, France, and China. Editorial roles include the American Journal of Clinical Nutrition .