جست‌وجوی استاد و پژوهشگر

• Internet of Things (IoT)
• Smart City Learning
• Game-Based Learning
• +۴ مورد دیگر

Monica Divitini is a Professor in Cooperation Technologies at the Department of Computer Science, Norwegian University of Science and Technology (NTNU), since 2002. She holds a PhD in Computer Science from Aalborg University, Denmark. Her research bridges technology-enhanced learning, Internet of Things (IoT), and collaborative systems. Education: PhD in Computer Science, Aalborg University Her work focuses on smart city learning , game-based education , and collaborative technologies . She explores how IoT can transform educational practices and urban planning. Key projects include MIRROR , NORDIC-LEAF , and FABULA , which emphasize social and mobile learning frameworks. Divitini has participated in multiple EU-funded initiatives such as CO-CREAT and ASTRA , and national projects like MOTUS . Her publications span topics like privacy-aware games , urban sensing pedagogy , and digital competences for teachers . She contributes to ACM and IEEE conferences, focusing on crisis management systems and reflective learning tools .

Marieke Kuijjerمشاهده پروفایل

پژوهشگر

• Gene Regulatory Networks
• Cancer Genomics
• Bioinformatics
• +۴ مورد دیگر

Marieke Kuijjer is a Group Leader at the Norwegian Centre for Molecular Bioscience and Medicine, University of Oslo, leading the Computational Biology and Systems Medicine Group. Her academic focus spans gene regulatory networks, cancer genomics, bioinformatics, and systems medicine. She holds a PhD from Leiden University Medical Center (2013) and postdoctoral experience at Harvard and Dana-Farber Cancer Institute (2013–2018). Her research integrates multi-omics data to predict cancer outcomes and develops computational tools for gene network analysis. Key awards include the Charles A. King Postdoctoral Fellowship and National Cancer Institute grants. She has authored over 50 peer-reviewed articles, emphasizing tumor microenvironment dynamics, sarcoma genomics, and machine learning in immunology. Her work bridges computational methods with clinical applications, such as creating digital twins for cancer patients and improving bioinformatics software quality through collaboration. Current initiatives include studying osteosarcoma progression through longitudinal genomic analysis and leveraging single-cell transcriptomics for population-level gene regulatory insights. She collaborates internationally, including in the Fight Osteosarcoma and Euro Ewing consortia, advancing sample collection standards for rare cancers.

Ladislav Hovanمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Computational Biology
• Systems Medicine
• +۳ مورد دیگر

Ladislav Hovan is a Researcher at the University of Oslo's NCMBM, affiliated with the Marieke Kuijjer Group in Computational Biology and Systems Medicine. He earned his PhD from University College London (UCL) in 2020 and completed a postdoctoral position at the University of Geneva (2020-2022) before joining NCMBM in 2022. His educational background includes: PhD from University College London (UCL), 2020 Hovan's research focuses on bioinformatics tool development for gene regulatory network inference, particularly through spatial transcriptomic data analysis. He leads the development of STOAT (a gene regulatory network generator) and SPONGE (a prior network creator), leveraging expertise in Python, C++, and high-performance computing. His work emphasizes software quality, demonstrated through active participation in weekly code review seminars and collaborative development practices within the research group. His sole 2024 publication examines collaborative approaches to enhancing bioinformatics software reliability, highlighting how structured teamwork and code reviews address critical challenges in research tool development. This work aligns with broader trends in computational biology toward reproducible and maintainable software engineering. Notable recognition includes: Scientia fellowship (2022-2024) UiO:Life Science internationalization support grant (awarded twice in 2024) Hovan has secured international collaboration funding, including a planned two-month visit to the University of Helsinki in autumn 2025 to work with Anniina Färkkilä on ovarian cancer data analysis using GeoMx and tCycIF techniques. This grant supports his ongoing research into applying network tools to complex cancer datasets. He is an integral member of the Marieke Kuijjer Group at NCMBM, contributing to a collaborative environment focused on computational approaches to biological systems and medical research through regular software quality initiatives and tool development.