List of publications

  • Unsupervised Representation Learning and Explainable Clustering for Wafer Map Pattern Analysis

    Podder, Itilekha, Marco Miller, Tamas Fischl, and Udo Bub. "Unsupervised Representation Learning and Explainable Clustering for Wafer Map Pattern Analysis." IEEE Transactions on Semiconductor Manufacturing (2025).

    Publication

  • DESIGNING CUFFLESS, CONTINUOUS BLOOD PRESSURE MONITORING SYSTEMS: A MULTIMODAL AND EXPLAINABLE DEEP LEARNING APPROACH GUIDED BY DESIGN PRINCIPLES

    Podder, Itilekha, and Udo Bub. "DESIGNING CUFFLESS, CONTINUOUS BLOOD PRESSURE MONITORING SYSTEMS: A MULTIMODAL AND EXPLAINABLE DEEP LEARNING APPROACH GUIDED BY DESIGN PRINCIPLES." (2025).ECIS 2025 Proceedings. 8.

    Publication

  • A Process Model for the Development of Microservice-based Applications in 5G Edge Computing

    Ogbuachi, Michael Chima, Murad Huseynli, Itilekha Podder, and Udo Bub. "A Process Model for the Development of Microservice-based Applications in 5G Edge Computing." (2025).ECIS 2025 Proceedings. 6.

    Poblication

  • An Explainable Artificial Intelligence Framework for Improving Semiconductor Manufacturing: A Design Science Research Approach

    Podder, Itilekha and Bub, Udo, "An Explainable Artificial Intelligence Framework for Improving Semiconductor Manufacturing: A Design Science Research Approach" (2024). ACIS 2024 Proceedings. 88.

    Publication

  • Smart calibration and monitoring: leveraging artificial intelligence to improve MEMS-based inertial sensor calibration

    Podder, Itilekha, Tamas Fischl, and Udo Bub. "Smart feature selection for fault detection in the mems sensor production process using machine learning methods." 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021). Atlantis Press, 2022.

    Publication

  • Artificial intelligence applications for MEMS-based sensors and manufacturing process optimization

    Podder, Itilekha, Tamas Fischl, and Udo Bub. Telecom. Vol. 4. No. 1. MDPI, 2023.Telecom 2023, 4(1), 165-197; https://doi.org/10.3390/telecom4010011

    Publication

  • Smart Feature Selection for Fault Detection in the MEMS Sensor Production Process Using Machine Learning Methods

    Podder, Itilekha, Tamas Fischl, and Udo Bub. 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021). Atlantis Press, 2022.DOI:10.2991/aisr.k.220201.005

    Publication

  • A Design Science Research Approach Towards Knowledge Discovery and Predictive Maintenance of MEMS Inertial Sensors Using Machine Learning

    Podder, Itilekha, and Udo Bub. International Conference on Computational Collective Intelligence. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-41774-0_25

    Publication

  • A framework for quantifiable process improvement through method fragments in situational method engineering

    Ogbuachi, Michael Chima, Itilekha Podder, Udo Bub, and Murad Huseynli. "A framework for quantifiable process improvement through method fragments in situational method engineering." In Proceedings of the 3rd International Conference on Advanced Information Science and System, pp. 1-7. 2021.

    Publication

  • Digital Innovation and Design Science Research: The State-of-the-art Review and Integrated Innovation Strategies Framework

    Huseynli, Murad, Itilekha Podder, M. Ogbuachi, and Udo Bub. "Digital innovation and design science research: The state-of-the-art review and integrated innovation strategies framework." In 10th Interdisciplinary Doctoral Conference. 2021.

    Publication

  • Towards Knowledge Discovery for Predictive Maintenance in MEMS Inertial Sensors using Artificial Intelligence and Design Science Research

    Podder, Itilekha, Murad Huseynli, Michael Chima Ogbuachi, Tamas Fischl, and Udo Bub. "Towards Knowledge Discovery for Predictive Maintenance in MEMS Inertial Sensors using Artificial Intelligence and Design Science Research." June 2022.

    Publication

Achivements

Corporate Industry Thematic Session speaker at AI Symposium 2025 (HUN-REN), representing Bosch alongside Ericsson and Nokia.https://www.youtube.com/watch?v=pEmwhCX3zvU&pp=ygUPaXRpbGVraGEgcG9kZGVy.

Member of Young Scholar Network at Munchner Kreis, Germany (2024-present).

Speaker at Doctoral Open Day at ELTE Faculty of Informatics 2025. https://www.inf.elte.hu/en/content/doctoral-open-day-2025-speeches.t.5948

Plenary Speaker at EUROSENSORS XXXVI, Debrecen, Hungary, 2024 on ML/AI in MEMS sensor development and production.

Doctoral Open Day at ELTE Faculty of Informatics 2025. https://www.inf.elte.hu/en/content/doctoral-open-day-2025-speeches.t.5948

Featured article: https://www.eitdigital.eu/newsroom/news/2024/itilekha-podder-driving-ai-innovation-from-academia-to-industry/

Featured article: https://www.glamour.hu/plusz/aktualis/mesterseges-intelligencia-magyar-kutato/xq8jdvc

“The best talk of AI and Testing session” for the presentation at the Conference of PhD students in Computer Science, 2022.

Keynote speaker at AI Faculty opening at Eötvös Loránd University, Budapest, Hungary, 2022.

Best Paper Award at 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI ), 2021.

Best Presentation Award in Engineering Materials and Technologies 1, a session in the 10th Jubilee Interdisciplinary Doctoral Conference (IDK), 2021.

Reviewer of many conferences and journals ( e.g. ECIS, DESRIST, Wiley).

Certificate of Merit for the keen sense of responsibility and outstanding dedication to studies in 2019/2020 by the Budapest University of Technology and Economics.