Dr. Amandip Sangha is a Senior Scientist at the Department of Digital Technologies at NILU. He holds a PhD in mathematics from the University of Oslo. His academic interests are in mathematical modelling, data science, ML/AI and HPC applied to fields related to climate and environment.
He is motivated by contributing to socially useful research and knowledge development in the field of climate and the environment.
Dr. Ayan Chatterjee is a Scientist at NILU Digital Technologies, Kjeller, and Adjunct Associate Professor at Kristiania University College, Oslo, with prior academic positions at the University of Agder and Simula R&D. Known for his interdisciplinary research, Dr. Chatterjee bridges fields such as Software Engineering, Data Science, Human-Centered AI, Data Mining, and Digital Health to foster innovation in academia, industry, and the public sector.
Dr. Chatterjee completed his master’s in software engineering at Jadavpur University, India, and holds a Ph.D. in ICT with a focus on eHealth from the University of Agder, Norway. His doctoral work focused on machine learning-based e-coaching for personalized health recommendations, pioneering methods in personal health data management and hybrid decision-making systems. His expertise spans Software Engineering, Data Science, and Knowledge Engineering, equipping him to tackle complex challenges in health and environmental sciences and driving user-centered, data-driven solutions that impact both research and industry.
An active contributor to European Union projects, Dr. Chatterjee leads or collaborates on Work Packages focusing on Data Science, Digital Health, Environmental Monitoring, and Software Engineering. His project leadership includes overseeing deliverables, coordinating tasks, and ensuring alignment with EU research goals. At Kristiania University College, he has designed and taught advanced courses like "Secure Software Development" and "AI for Cybersecurity" for master’s students, focusing on cybersecurity and software reliability and supervising thesis projects.
With an h-index of 24 and over 950 citations, Dr. Chatterjee shares his findings through conferences, presentations, and journals, and serves on the editorial board of Scientific Reports. His career goal is to advance as a Research Professor in Computer Science, promoting interdisciplinary collaboration to address real-world challenges in data analytics across diverse domains. Dr. Chatterjee’s work at the intersection of technology, environmental sustainability, and human well-being underscores his commitment to impactful, innovative research, contributing to meaningful advancements in science, education, and cross-sector collaboration.
Bendik Østrem Svalastog works as a full-stack developer. His core competencies lie in DevOps, Java, discrete math, work methodologies and logic, and professional dissemination. He has a bachelor's degree in programming from the University of Oslo and in addition to his job, he is taking a master's degree in programming and system architecture at the same place, to strengthen academic depth and pursue an interest in research.
Bendik has had many jobs as a teacher, for both children and adults, and has brought it with him to NILU and held courses on Git and Test Driven Development (TDD) for colleagues. He has a diverse work experience from the corporate consulting industry and has worked with major players such as Telenor, Mesta, Vipps, Produsentregisteret, Ardoq, Digital Driver's License and the The Norwegian Directorate for Civil Protection. He has also spent a year at the Frisch Centre as a research assistant on a project immediately after his studies.
Huy Duong Gia is currently a PHD-candidate at Stiftelsen NILU (since 2023).
He has a Bachelor degree in Control engineering and Automation (from 2015 to 2019 at Ho Chi Minh city University of Technology), in which he learned about control engineering, embedded systems, electronic design (PCB) and IoT application.
He then moved on to become an Embedded systems engineer (from 2019 to 2021 at BKASIC Technology cooperation). In 2 years as an engineer, he designed and programmed (C language) embedded system for electronic products, especially with high-speed signal devices. He used IoT application to control the product over internet, and designed hardware (PCB) for embedded system, control board, and high frequency PCB.
Huy then earned his master's degree in Micro and Nano System Technology (from 2021 to 2023 at University of South-eastern Norway). Here he went to the tiny world to study Nano and Micro system technology, especially Photonics devices, Optics, and MEMS (Mechanic-Electronic Micro System) design.
Now he is working under the MISO project. His main focus is on developing ambient monitors for greenhouse gases (GHGs) with low power consumption for long-term deployment in the Arctic and wetlands. By integrating tinyML (Tiny Machine Learning), he aims not only to improve the accuracy and reliability of data collected from these sensors but also to reduce power consumption for prolonged use. The goal is to make air quality data in the Arctic and wetlands more accessible, accurate, and useful for researchers and the general public.
Dr. Mohamed-Bachir Belaid serves as a researcher at NILU based at Kjeller, Norway.
He earned his master’s degree in computer science and optimization in 2016 at USTO university in Oran, Algeria.
He then continued his studies at the University of Montpellier, south of France, where he earned his PhD in Constraint reasoning and Data mining. His PhD work was implemented as part of a library in the Choco constraint solver.
Before joining NILU, he worked as postdoc at Simula and at OsloMet. At Simula, he worked on constraint acquisition and qualitative constraints reasoning. At OsloMet, he worked on learning automata and Tsetlin Machine.
His expertise involves computer science, optimization, data mining, constraint reasoning, concept learning, qualitative constraints, and learning automata.
He also currently works on implementing AI and ML models on earth observation and various environmental applications.
Stefan Jetschny holds a Ph.D. degree in geophysics from the Karlsruhe Institute of Technology, Germany. He combines more than 20 years of experience both in academic and in industry research. His main research activities incorporate application of massive, scalable, numeric algorithms to large datasets to solve applied problems, earlier in the field of subsurface earth characterization and now environmental research.
During his occupation as an assistant professor, he was contributing to and managing projects with respect to seismic modeling and inversion for near surface applications. This also included the development of open source forward and inverse finite difference modeling codes. While working for a technology driven oil and gas service provider, he developed innovative and novel marine survey geometries and strategies by exploring the full chain of geological model building, synthetic data generation and application of state-of-the-art seismic processing algorithms.
In his current role as a Machine Learning Scientist / Senior researcher at NILU, Stefan contributes to the NILU’s aspiring data science team to help apply machine leaning and AI related methods to the institute’s versatile project catalog. He is actively involved in the European Topic Center for Data integration and digitalisation (ETC DI) and coordinates the EU Horizon project FAIRiCUBE. In addition, he is the main safety representative at NILU and enjoys the voluntary work in the welfare committee.
Tuan-Vu Cao received the PhD degree in electronics engineering from the University of Oslo in 2011 with the topic of micro-power sensor interface in nanometer CMOS technology. During his PhD, he stayed at ISN Lab at UC San Diego in a year to implement a frequency adaptive BFSK MICS band (402-405 MHz) transmitter Chip for biomedical application. He has a long experience in both Academia and Industry.
From 2011 to 2012, he worked as a Postdoctoral Fellow at NTNU (Norwegian University of Science and Technology) to design a Delta-Sigma Analog to Digital converter at 65nm CMOS technology.
From 2012-2018, he worked in Industry as Senior Engineer at WINS Instrumentation AS and Prediktor AS for various projects, such as monitoring nutrient food content, and wireless DST real time instrumentation. Since 2018, he has come back Academia by joining NILU where he is currently a Senior Scientist.
- Horizon Europe project MISO - Autonomous Multi-Format In-Situ Observation Platform for Atmospheric Carbon Dioxide and Methane Monitoring in Permafrost & Wetlands; (2023-2026) (The PI and project coordinator)
- EEA Grant project—HAPADS - a novel air mobile monitoring system enables end-users to make information-driven decisions to mitigate air pollution exposure; (2020-2023) (Co-PI and WP leader)
- EEA Grant project SmartFood project “Engaging citizens in food diversity in cities”; (2021-2024) (Co-PI and WP leader)
- NFR IKTPLUSS project: AirQMan: Low Latency Air Quality Management (2021-2025) (WP leader)
- NFR 273394- ‘‘Leopard-Wearable particle detector enabling safer working environments’’ (2018–2020) (Key Designer and Technical Coordinator)
His research interests include enabling technologies (advanced sensors, edge intelligence, IoT, etc...) and other autonomous systems for environmental monitoring and management.
Robert André Logna is a senior system developer in the Digital Technologies department.
He is a specialist in client-server technology. Robert is motivated by developing robust, maintainable and scalable information systems.
His areas of interest are mainly distributed processing systems/frameworks (e.g. Apache Spark/HBase/YARN) and development/implementation of machine learning models in such systems.
Rune Ødegård is the Director of Digitalisation at NILU, leading the Digital Technologies Department. He holds a MSc degree in Environmental Pollution Control Management from Heriot-Watt University in Edinburgh.
Since 1997, Ødegård has been working as an interdisciplinary researcher between environmental science and information technology, building over twenty years of experience in managing, designing, developing, and implementing environmental systems. He has taken on roles as both a participating researcher and project leader across numerous research projects, both national and international.
In 2008, Ødegård became department leader for the Digital Technologies Department, and in 2019, he was appointed Director of Digitalisation.
