The Project NextAIRE [HORIZON-WIDERA] project continues the Scientific Data Manipulation workshop series.

📍 Online
🗓️ When: Tuesday, 23 June 2026 | 13:00 CET 
👥 Anyone can view and join

Workshop Agenda:

This session is designed to provide you with the essential coding skills needed for research and development in the air quality field:

• Identifying missing values and outliers in real-world datasets
• Understanding how missing data affects analysis and machine learning
• Applying deletion and imputation techniques for missing values
• Detecting outliers using statistical and visual methods
• Building a data-cleaning workflow for reliable analysis and modeling

Prerequisite: Basic Python/Pandas knowledge. If you missed Part 1, watch the recording.

Register here 

You’ll receive the formal invitation and meeting link via email after registration.

Presenter:

Mario Dudjak
Assistant Professor, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (FERIT)

Mario Dudjak is an Assistant Professor at the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (FERIT), with professional and research interests in machine learning, data science, and bio-inspired optimisation. His teaching and training work focuses on practical, example-driven approaches to programming, data analysis, and scientific data manipulation.

Expert in machine learning, data science & bio-inspired optimisation. Known for practical, example-driven training in programming and data analysis.

Perfect for: Researchers working with air quality & environmental datasets who want to ensure data quality before analysis.

Join us for the third workshop in our Next-Gen Mentoring series, exploring the transition from academic research to market-ready innovation.

Date: Tuesday, 16 June 2026
Time: 13:00 CEST
Format: Online Workshop
Registration: Next-Gen Mentoring: Technology Transfer

About the Workshop:

The presentation “From Lab to Market” by Alexander Sirois (Unico) guides beneficiaries through the key steps of turning research results into market-ready innovations. The sessions cover commercialization pathways, value proposition development, IP considerations, and early market validation.

Following this lecture, Andrew Rebeiro-Hargrave will present a real-world case study of MegaSense Oy, a successful air quality start-up spun out from the University of Helsinki, sharing practical insights on research commercialization and start-up challenges.

Speakers:

Alexander Sirois – Unico
Andrew Rebeiro-Hargrave – MegaSense Oy, University of Helsinki

Who should attend:
Researchers, supervisors, mentors, and students interested in innovation, entrepreneurship, and careers across academia and industry.

👉 Next-Gen Mentoring: Technology Transfer

Previous Workshops:

Next-Gen Mentoring: Embracing AI and New Technologies – [Watch Recording] | Next Gen Mentoring Embracing AI and New Technologies|23 April 2026
Mentoring in Academia vs. Industry – [Watch Recording] | Next Gen Mentoring Mentoring in Academia vs Industry