Date: 7 July 2026 | Time: 13:00 – 15:00 CET | Location: Online
Speaker: Mario Dudjak, Asst. Prof. FERIT Osijek

Description:

We are pleased to invite you to the third workshop in our Scientific Data Manipulation series, organized as part of the NextAIRE project [HORIZON-WIDERA].

This hands-on session with Dr. Mario Dudjak focuses on essential coding skills for working with time-series scientific data, specifically in air quality research.

Workshop Agenda:

• Outlier Detection: Learn to detect and interpret outliers using visual inspection, z-score logic, and the IQR rule.
• Time-Stamped Data: Convert timestamps, set datetime indices, filter by time, and sort data chronologically.
• Time-Series Processing: Resample, align, join, and interpolate measurements from multiple scientific data sources.
• Scientific Visualization: Create and interpret line plots, bar plots, histograms, boxplots, scatter plots, and heatmaps.

Target Audience:
This workshop is designed for researchers, PhD and MSc students, data scientists, and engineers working with environmental and air quality datasets.

Prerequisite: Basic knowledge of Python and Pandas is required.

Previous Sessions:
Participants are encouraged to watch the recordings of Part 1 and Part 2 before attending:

• Part 1
• Part 2

Registration:
Participation is free. To secure your spot, please register via the link below. A formal invitation and meeting link will be sent to your email after registration.

REGISTER NOW

About the Speaker:
Mario Dudjak is an Assistant Professor at the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (FERIT). His research and teaching focus on machine learning, data science, and bio-inspired optimisation, with an emphasis on practical, example-driven approaches to programming and data analysis.

We look forward to your participation.

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

The NextAIRE Horizon Europe project is pleased to invite you to our first workshop in the Scientific Data series.

📅 Date: Monday, 9 June 2026
🕐 Time: 13:00 CET
💻 Format: Online workshop with hands-on exercises

Workshop Agenda:

• Introduction to Pandas DataFrames
• Creating and loading tabular data
• Selecting, filtering, and sorting data
• Creating derived variables
• Grouping and aggregating datasets
• Hands-on exercises with real environmental data examples

🎤 Speaker: Dr. Mario Dudjak
Assistant Professor at the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (FERIT), Croatia.

Dr. Dudjak’s research and professional interests focus on machine learning, data science, and bio-inspired optimisation. His work bridges computational methods with real-world environmental applications.

In his teaching and training, he specializes in practical, example-driven approaches to programming, data analysis, and scientific data manipulation — making complex concepts accessible through hands-on learning. His expertise is particularly valuable for researchers working with large environmental and air quality datasets.

👉 Register here: [REGISTRATION LINK]
Registered participants will receive the meeting link via email.

This workshop is designed for researchers, PhD students, and data practitioners in the air quality and environmental science fields who want to strengthen their Python data manipulation skills.

Join us for the third workshop in our Python series, part of the Project NextAIRE [HORIZON-WIDERA]!

📅 When: Tuesday, 26 May 2026 | 13:00 CET

🎯 Focus: Essential coding skills for air quality research

What we’ll cover:

✓ Functions

✓ Working with files

✓ Advanced Python concepts

Speaker: Mario Lovrić

Coordinator of NEXT-AIR | Group Lead, Institute for Anthropological Research | Assistant Professor, University of Rijeka, Expert in ML applications for environmental & health domains

Register here → https://lnkd.in/d_SbJzYV

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

Missed Parts 1 & 2? Catch up before the workshop:

▶️ Video Part 1: https://lnkd.in/dAbWTGvY

▶️ Video Part 2: https://lnkd.in/dczBq2w9

Don’t miss this chance to boost your Python skills for air quality R&D!

📅 19 May 2026

⏰12:00 CET

🎙️ Speaker: Andrew Rebeiro-Hargrave, Co Founder and Director at @MegaSense Oy, Helsinki, Finland

👉 Join us for an interactive workshop exploring the transition from academic research to entrepreneurship through the real-world case study of MegaSense Oy, an air quality start-up spun out from the University of Helsinki.  The session will discuss how an interdisciplinary research collaboration between computer science and atmospheric science evolved into a deep-tech company working with partners including the Finnish Meteorological Institute – Ilmatieteen laitos Meteorological Institute.

💡Participants will hear practical insights on:

✅ Research commercialisation

✅ Mentoring

✅ Start-up challenges

✅ Adapting to market realities

✅Operating in a rapidly changing professional environment

🎯 This workshop is aimed at researchers, supervisors, mentors, and students interested in innovation, entrepreneurship, and careers across academia and industry.

🔥 Invitation is also open to any other potential mentors from our partner institutions.

To secure your spot, please register by completing the information form at the link below⤵️

Click here to register: https://lnkd.in/eQXrj-tE

#HorizonEU #NextAIRE #Mentoring #Start-up #ResearchCommercialisation

Andrew Rebeiro-Hargrave, is the Co-founder, Director, and CTO of MegaSense Oy, a spinout from the University of Helsinki established in 2022. Originally formed as a research group, MegaSense brought together leading experts in computer science, atmospheric science, and geoscience. His strong academic foundation includes over 30 peer-reviewed publications and a patent focused on enhancing real-time air quality forecasting through 5G networks and low-cost sensor technologies. Now operating as a science-led startup, and supported by a growing international network of public and private partners, MegaSense is actively seeking new pilot projects and collaboration opportunities.

📅 12 May 2026
⏰13:00 CET

🎙️ Speaker: Mario Lovrić, Assistant Professor Institute for Anthropological Research Research, Zagreb, Croatia

💡 What you’ll learn:
✅ Conditional statements
✅ Loop
✅ Modularity: importing libraries
✅ Data visualization

To secure your spot, please register by completing the information form at the link below. Once registered, you will receive a formal invitation and the meeting link via your provided email address. ⤵️

REGISTRATION LINK

https://lnkd.in/eczPJDEb

#HorizonEU#NextAIRE#Phython#AI#Research#DigitalTools

This session will introduce practical digital tools that can help mentors build more efficient and effective workflows, support researchers, and improve academic collaboration.

Speaker

Mario Lovrić is the coordinator of NextAIRE and group leader at the Institute for Anthropological Research. With a background in chemical engineering, he transitioned into computational sciences and currently focuses on machine learning applications in environmental and health settings. He is also an assistant professor at the University of Rijeka, where he teaches Python and AI applications in life sciences.

Topics include

• Claude for productivity and idea support
• Obsidian and Notion for knowledge management
• Reference managers for organising literature
• AI-powered tools for academic search
• Practical mentoring workflows

The workshop is a valuable opportunity for mentors and supervisors to align approaches, exchange experiences, and explore useful tools together.

📅 Date: 23 April 2026
🕐 Time: 13:00 CET

👉 Registration Link:
https://events.teams.microsoft.com/event/c8cfe4e4-b139-4189-a6e1-8118201de132@4c44c624-c76f-42c7-aa11-44f28d6a049c

We look forward to your participation.

This hands-on workshop aims to introduce participants to the basics of Python programming and its applications in research, with a particular focus on air quality.

 Date: 14 April 2026

Time: 13:00 CET

 About the Instructor

Mario Lovrić is the coordinator of NextAIRE and group lead at the Institute for Anthropological Research. With a background in chemical engineering, he transitioned into computational sciences and currently focuses on machine learning applications in environmental and health domains. He is also an assistant professor at the University of Rijeka, where he teaches Python and AI applications in life sciences.

🔗 Register here: https://lnkd.in/djq4KB6M

This online session will focus on Git and GitHub integration within the NextAIRE E-Learning ecosystem, ensuring all partners follow efficient and consistent version control practices.

 📅 Date: 10 March 2026

🕐 Time: 13:00 CET

🎤 Speaker: Mislav Ćaleta

📍 Format: Online

 Workshop Structure

 Part I – E-Learning Platform Administration

The first part of the workshop will provide a practical tutorial on how administrators will use the E-Learning platform, including:

Creating a GitHub account

Uploading materials 

Editing materials 

Deleting materials 

Part II – Git Fundamentals and Collaborative Workflow 

The second part will cover core Git skills and collaborative workflows, including: 

Repository initialization and cloning 

Fundamental Git commands 

Branching and merging 

Collaboration workflow best practices 

This session is essential for ensuring technical alignment and smooth coordination across the project.

🔗 Registration is open until 4 March 2026.

Artificial intelligence and machine-learning techniques are increasingly used to improve the accuracy and reliability of low-cost indoor air quality (IAQ) sensors, helping to address challenges such as sensor drift, environmental interference and limited access to reference equipment. When combined with building automation systems, improved calibration can support more responsive, predictive and data-driven indoor air management.

At the same time, the real-world deployment of AI-supported calibration methods raises important questions. Models that perform well under controlled conditions may fail in complex indoor environments, often without transparent explanations. Sensor variability, uncertainty management and ethical considerations — including the use of IAQ data as potential proxies for occupancy — introduce additional risks. In sensitive application areas, such as healthcare or public buildings, poorly calibrated data or automated responses could have significant consequences and may raise regulatory considerations under the EU AI Act.

This webinar will bring together experts from EU-funded research and innovation projects to discuss both the promise and the perils of AI-driven calibration, with a particular focus on how scientific validation, transparency and human oversight can support trustworthy and policy-ready deployment.

🗂️ Proposed Agenda

10:30–10:35 – Welcome and Introduction

10:35–10:45 – From Sensors to Signals: The Practical Promise and Limits of AI-Driven Calibration

10:45–10:55 – Learning from Data: AI, Calibration and Uncertainty in Real-World Indoor Environments

10:55–11:05 – Why Calibration Matters: From Data Quality to Actionable Indoor Air Management

11:05–11:15 – From Evidence to Trust: Scientific Validation of AI-Supported IAQ Calibration

11:15–11:40 – Panel Discussion

11:40–11:55 – Interactive Dialogue and Q&A

11:55–12:00 – Concluding Remarks

👥 Who should attend

This webinar is relevant for:

researchers and practitioners working on indoor air quality monitoring and sensor technologies, experts in AI, machine learning and data-driven building management, building managers, engineers and technology providers involved in smart ventilation systems, policymakers, regulators and public authorities interested in trustworthy AI and EU AI Act implications, and stakeholders from EU-funded projects and initiatives addressing healthy, sustainable and intelligent buildings.

📅 Date: Friday, 30 January 2026

🕥 Time: 10:30–12:00 CET

💻 Format: Online webinar

👉 Registration link:

https://www.eventbrite.com/e/1977696678002?aff=oddtdtcreator

Participation is free, but registration is required.

Download the official webinar invitation (PDF)