Professional Activities

Doctoral Supervision

Ongoing and completed PhD candidates.

• Matias Brax (University of Helsinki): ”Affective Computing” (2026–Present)

• Dominik Rohal (University of Helsinki): “Edge Intelligence for enhancing environmental monitoring via real-time sensing and computer vision processing” (2025–Present)

• Jani Kuurasuo (University of Helsinki): “AI-driven processing and analysis of RGB and multi-spectral drone imagery” (2025–Present)

• Samuel Chua (University of Helsinki): “Sensor networks analysis using remote sensing approaches” (2024–Present)

• Abdur Rahman (University of Helsinki): “Machine learning for automatizing of big environmental data of SMEAR stations” (2024–Present)

• Hasan Sarwar (University of Helsinki): “Sensor network analytics: fault and drift identifications” (2024–Present)

• Pak Lun Fung (University of Helsinki): “Derivation of black carbon proxies in an integrated urban air quality monitoring network” (Completed, 2019–2022)

Master & Intern Supervision

Mentorship of MSc students and research interns across international institutions.

• Dilusha Disanayake: ”The Impact of Local vs. Reanalysis Weather Data on Renewable Energy Forecasting” (MSc, 2025–Present)

• Zekang Chen: ”Spatiotemporal Modeling of Regional Wind and Solar Power Generation in France” (MSc, 2025–Present)

• Matias Brax: ”EduSense: enhancing classroom environments through advanced monitoring and AI analytics” (MSc, 2025)

• Marianna Ojanen: ”Multivariate online change point detection” (MSc, University of Helsinki & Nokia Bell Lab, 2024–2025)

• Golam Wasy Arnob: ”Normalization Techniques for Training Deep Neural Networks” (MSc, University of Helsinki & Nokia Bell Lab, 2024–2025)

• Sergei Panarin: ”Large Language Models for recommendation systems based on IoT systems” (MSc/Intern, 2024–2025)

• Yangyang Wang: ”Developing IoT prototyping systems using LoRawan networks” (Intern, 2024)

• Jani Kuurasuo: ”Automatic data streaming of hyperspectral camera to cloud platforms” (MSc/Intern, 2023–2024)

• Zhanghu Zhao: ”Machine and Deep Learning Methods for Automatic Identification of Atmospheric New Particle Formation” (MSc/Intern, 2023–2024)

• Qianqian Xia: ”Machine learning for automatic analytics of low-cost sensors” (MSc, 2023–2024)

• Yiling Hu: ”Low-cost sensors experiments and validations” (Intern, 2023)

• Alberto Defendi: “Real-time air quality sensing” (Intern, 2022–2023)

• Azad Nabavi: “Artificial Intelligence for Smart Energy Management” (MSc Co-supervisor, 2020–2021)

• Petri Laarne: “Time-delayed mutual information for enhancing new-particle formation analysis” (Intern, 2019–2020)

• Salla Sillanpää: “New generation of air pollution index based on statistical analysis” (Co-supervisor, 2019–2020)

• Vincent Lheureux: “Unsupervised machine learning applied on atmospheric data” (Intern, 2019)

• Mai Allo: “The use of Eureqa software investigation in atmospheric sciences” (MSc Co-supervisor, 2017–2018)

• Kajetan Stanski: “Machine Learning for Quantum Physics” (Intern, Aalto University, 2016)

• Sharat Varma: “Application of Kalman Filter for prognostic health monitoring of gas turbine engine” (MSc Mentor, 2012)

Main Lecturer

Responsibilities include course design, primary instruction, and overall management.

• Data Science for the Internet of Things (University of Helsinki, 2026)

• CAS-INAR Intensive Course: Advanced Aerosol Instrumentation and Analysis 2025 (IIT Delhi, Nov 2025)

• Statistical Analysis of Environmental Field Measurements (University of Helsinki, 2017–2019, 2024–Present)

• Statistical Tools for Climate and Atmospheric Science (University of Helsinki, 2022–2023)

• Engineering Systems & Control (Sultan Qaboos University, Oman, 2015)

• Engineering Dynamics (Sultan Qaboos University, Oman, 2015)

• Prognostics & Health Management (Maryland University, College Park, USA, 2014)

Guest Lecturer

Invited specialized sessions for external universities and intensive seasonal schools.

• Data Science for the Internet of Things (University of Helsinki, 2025)

• Environmental Data Sciences (University of Helsinki, 2018–2023)

• Introduction to Research in Mobile/Wearable Technology (Norwegian University of Science and Technology, 2022)

• Machine Learning Introduction (Spring School in Computational Chemistry, CSC IT, Finland, 2016–2017)

Teaching Assistant & Tutoring

Support for laboratory sessions, intensive field schools, and student mentorship.

• Hyytiälä Winter School: Advanced analysis of atmospheric processes and feedbacks (Senior TA, University of Helsinki, 2018 & 2023)

• EMME-CARE Autumn School: Analysis of aerosols, air pollution and their sources (Senior TA, The Cyprus Institute, 2022)

• Systems Laboratory and Design (TA & Lab Demonstrator, Sheffield University, UK, 2010–2014)

• Control Systems Analysis & Design (TA, Sheffield University, UK, 2010–2014)

• Modelling, Simulation & Control (TA, Sheffield University, UK, 2010–2014)

• Foundations of Control Systems (TA & Lab Demonstrator, Sheffield University, UK, 2010–2014)

• Mathematics and Statistics (Mathematics Tutor, MASH, Sheffield University, UK, 2014)

Professional Memberships

• IEEE (Institute of Electrical and Electronics Engineers): Senior Member (2023 – present), Member (2014 – 2023), and Student Member (2010 – 2014)

• IET (Institution of Engineering and Technology): Member (2019 – present)

• TEK (Academic Engineers and Architects in Finland): Member (2018 – present)

• ACM (Association for Computing Machinery): Member (2023 – present)

• EGU (European Geosciences Union): Member (2020 – present)

• NOSA (Nordic Society for Aerosol Research): Member (2020 – present)

• FAAR (Finnish Association for Aerosol Research): Member (2018 – present)

• RAeS (Royal Aeronautical Society): Student Member (2010 – 2014)

Editorial Services

• Editor: International Journal of Bio-Inspired Computation (InderScience)

• Guest Editor: Special Issue on "Data Fusion/Assimilation of Low-Cost Sensors for Air Pollution Exposure" in International Journal of Environmental Research and Public Health (IJERPH)

Reviewing Activities

• Book Proposals: Reviewer for two book proposals submitted to Elsevier.

• Journal Reviewer:

  • Elsevier: Advances in Engineering Software, Aerospace Science & Technology, Applied Energy, Expert Systems with Applications, Mechanical Systems & Signal Processing, Microelectronics Reliability, and Neurocomputing.

  • Frontiers Media: Frontier in Environmental Science.

  • Copernicus: Atmospheric Chemistry & Physics and Atmospheric Measurement Techniques.

  • IEEE: IEEE Communications Magazine, IEEE Transactions on Automation Science & Engineering, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Industrial Informatics, IEEE Transactions on Network Science & Engineering, IEEE Transactions on Reliability, IEEE Internet of Things Journal, IEEE Sensors Journal, and IEEE Signal Processing Letters.

  • MDPI: Applied Science, Electronics, Energies, International Journal of Environmental Research and Public Health and Sensors.

  • Springer: Air Quality, Atmosphere & Health, International Journal of Advanced Manufacturing Technology, and Mechanical Science & Technology.

Other Academic & Administrative Activities

• Workshop Organizer of the FunSNM workshop on "Enhancing Sensor Network Metrology for Atmospheric Monitoring" (November 2025), organized in collaboration with VTT MIKES Metrologia (Finland) and Federal Institute of Metrology METAS (Switzerland)

• Workshop Chair: EnvSys2023, EnvSys2024, and EnvSys2025 (1st, 2nd, and 3rd International Workshops on Advances in Environmental Sensing Systems for Smart Cities)

• Website Administrator:  

  • Intelligent enviRonmental mOnitoring and aNalytics (IRON) (2023 – Present)

  • InterEarth (2024 – Present)

  • Aerosol Cloud Climate Interaction (ACCI) at University of Helsinki (2017 – 2018)

• Conference Assistant: NOSA-FAAR Aerosol Symposium 2018, Helsinki (March 2018)

• Main Organizer: International workshop on machine learning for material sciences, Aalto University (March 2017)

• Main Organizer: Local workshop on machine learning for applied physics, Aalto University (Feb 2016)

• Course Coordinator: PHM at Maryland University (2014–2015). Responsibilities: inviting guest lectures, arranging schedule/venue/online web, preparing materials, and teaching.

• Mathematics Tutor: Mathematics & Statistics Help (MASH), Sheffield University (2014)

• Publication Design & Editor: UK-India Education Research Initiative (UKIERI) workshop on Health Monitoring Systems, IIT Kanpur, India (2012)

• Student Representative: INTO Newcastle University (2008)

Training Courses

• Pedagogy (University of Helsinki):

  • Learning in Higher Education (Jan – Feb 2020)

  • Assessment of learning and giving feedback (Jan – Feb 2025)

  • Constructive Alignment in Course Design (Mar – April 2024)

  • Academic Supervision and Supervisor Training (Jan – Feb 2024)

  • Development of Teaching and Practical Training (Nov – Dec 2024)

• Teaching Training (University of Sheffield):

  • Small Group Teaching: Laboratory Demonstration & Seminar Facilitation (Oct 2011)

  • Large Group Teaching (Sept 2011)

• ICT & Science Training (CSC - IT Center for Science):

  • Pouta Cloud course (Nov 2019)

  • Introduction to using Google Earth Engine (Feb 2019)

  • Python in High-Performance Computing (Jan 2019)

  • Analysing Large Datasets with Apache Spark (Nov 2018)

  • CodeRefinery workshop (Aalto University, Dec 2017)

  • Linux kernel (Sept 2015)

• Language & Safety:

  • Emergency First Aid (Nov 2023)

  • Fire Extinguishing Exercise (Oct 2023) 

  • Academic English (INTO Newcastle University, 2008)

Social & Community Organizations

• Affiliate: Climate AI Nordics (CAIN)

• Member of Nature (MoNa): World Wide Fund for Nature (WWF) Indonesia

• Member: Indonesian International Scientists Association (I-4)

• Board Member of Experts: Center for Artificial Intelligence and Advanced Technology (Captivate), Trisakti University, Jakarta

• Advisory Board Member: Diaspora Global Aceh Scandinavia (DGAS)

• Member: Komunitas Ilmuwan dan Professional Muslim Indonesia (KIPMI), Dept. of Research and Technology

• Member: Rangkang Nanggroe (Acehnese community in the UK)

Languages & Hobbies

• Languages: English (Active), Malay (Active), Indonesian (Native), Acehnese (Native).

• Hobbies: Reading & Research, Coding & Electronics, Environmental issues, Teaching sciences to children, and Sports (Badminton, Chess, Cycling).