Shahina Begum, Professor
Dr. Shahina Begum, Professor, and deputy leader of the Artificial Intelligence and Intelligent Systems group at MDU. Shahina’s research focuses on developing intelligent systems in medical and industrial applications. Shahina Begum received her PhD in Artificial Intelligence in 2011, from Mälardalen University. Her research areas are Artificial Intelligence, Multimodal Machine Learning and reasoning, Generative AI, Explainable AI (XAI), Data Analytics, Decision Support Systems, Knowledge-based Systems, and Intelligent Monitoring and Prediction Systems.
Shahina has been the principal applicant and project manager for a number of research projects at MDU. She received a Swedish Knowledge Foundation’s Prospect individual grant for prominent young researchers in 2011 and is today leading several research projects in the area of intelligent -monitoring and prediction systems in collaboration with industrial partners. Shahina has been listed amongst the 100 most relevant researchers in sustainable AI algorithm development by the Royal Swedish Academy of Engineering Sciences 2020.
Shahina has been involved (as the course main responsible/designer/teacher/examiner) of total 21 distance and campus-based courses/learning modules mainly in Artificial Intelligence and Machine learning at MDU both for regular students and industrial professionals. She is the co-applicant and main responsible for the Artificial Intelligence content for the proposal “Bachelor program in Applied AI” at MDU. Shahina has been involved in several initiatives for lifelong learning at MDU for example,
- IntoDeep: Developed AI and Deep Learning materials for process industries, serving as the project leader.
- KIT: Led the Work Package ‘AI and Big Data for production industries’, responsible for courses ‘Introduction to Machine Learning’ and ‘Machine Learning for Industry 4.0’.
- PROMPT: Professional Master’s program in Software Engineering, course responsible for 'Machine Learning with Big Data', attracting over 500 applicants every year during 2018 – 2024.
- MOOC Course: Designed and facilitated the ‘Basic Knowledge on ML’ MOOC course and AIClass (https://aiclass.se) MOOC course.
- PDF: Implemented a Personalized, Dynamic, and Flexible Educational Model for Industrial Professionals.
- DECREASE: Responsible for the 'Trustworthy AI course' funded by KK-Stiftelsen.
- CyberSäk: AI Security course within the Master’s program in Cybersecurity, funded by KK-Stiftelsen (Swedish Knowledge Foundation).
- FuturE’: courses on 'Predictive Data Analytics' and 'Deep Learning for Industrial Imaging' as part of the NU 17 initiative funded by the Swedish Knowledge Foundation.
Shahina Begum has extensive involvement in both research and teaching activities driven by industry needs and collaborative initiatives with both the public and private sectors. Shahina is active in the research community and has served as a grading committee member, evaluator of promotions, evaluator of funding applications, advisory board member, steering committee member, program chair, co-chair and organizer of international conferences and workshops.
Popular Science Activities
- ‘Business takes on Al slow but smart’ Interviewed by Framgång (a local Swedish newspaper VLT's Business Magazine), published on 23, Apr, 2023
- ‘New research can improve the work environment of textile workers,’ 8 Sep 2024, MDU news
- Press release on 'Kognitivt prediktivt underhåll, en ny trend?' (Cognitive predictive maintenance, a new trend?), Nordiske Medier, 16 Jan, 2024
- Press release published an article in Air Traffic Technology International Magazine based on the interview, 2023
- Interview on P4 Västmanland Radio, ‘ett AI-system som ska minska flygförseningar på flygplatser’, 2023
- Interview and press release on Industry-leading magazine Aviation Today (covering NextGen, connectivity and technical aviation intelligence) 'New AI System Offers Potential Air Traffic Management Solutions', Avionics International, 24 Mar, 2023
- Press release on 'MDU forskare hjalper flygtrafiken', VLT, 28 Feb, 2023
- Interviewed by Framgång (a local Swedish newspaper VLT's Business Magazine) and a press release is published 'Want to increase trust in artificial intelligence' https://framgang.bonniernews.se/vill-oka-fortroendet-for-artificiell-intelligens/, 26 Oct, 2022
- Press release 'Projekt ska förutse behov av underhåll på industrier' (Project will predict the need for maintenance at industries), 25 Mar, 2022
- Interviewed and press release 'Explanation towards Trustworthy AI' published by new papers Dagens Industri, is a financial newspaper, Jun 7, 2022
- Press release on 'MDH-forskning ska förebygga arbetsplatsolyckor på byggen' (MDH research aims to prevent workplace accidents on construction sites), BIg Norden, 1st Jan, 2020
- Press release on 'Mer kunskap om maskininlärning ska förebygga arbetsplatsolyckor' (More knowledge about machine learning should prevent workplace accidents), Hållbart Byggande, 15 Jan, 2020
- Forskning om 'hur folk mar och beter sig i trafiken ska minska olycksriskerna', VLT, Jan, 2020
- Press release 'Free AI-education to improve production in Swedish process industry', MDU news, 05th Nov, 2019
- Press release on 'MDH develops digital twin to strengthen Swedish industry' MDU news, 8th Oct, 2020
- Press release ’Forskning om hur folk mår och beter sig i trafiken ska minska olycksriskerna’ (Research into how people feel and behave in traffic should reduce the risk of
- accidents). Interview published in the local newspaper. VLT 3rd July 2017
- Press release 'With a new system AI vehicles get even smarter- MDH News', Jun 19, 2017
- Press release 'Mälardalens högskola med i stort projekt nytt system ska göra självkörande bilar säkrare' (Mälardalen University with a major new system project to make self-driving cars safer). VLT, 20 Juni, 2017
- Press release on ‘Saving lives with sensors’ article to present my research directions published in 'Pan European Networks Science and Technology', June 2014, issue 11.
- Interviewed and press release ‘Vakna, du håller på att somna vid ratten!’ interview published in the local newspaper. Vestmanlands Läns Tidning, VLT 7th May,2011
- Press release 'Unik forskning förhindrar trafikolycker för yrkesförare' ( Unique research prevents traffic accidents for professional drivers) article published in the "Swedish Newspaper for Research", nr 3/2011.
- Speaker and organiser of the ‘Trustworthy AI Seminar'. Lecture on ‘From Explainability towards trustworthy AI’ and discuss the foundational challenges associated with ensuring the trustworthiness of current AI systems. 30th Jan, 2024
- Invited talk on 'AI overview for Companies' organized by AI Sweden and CGI, 6th Dec, 2023, Kopparbergsvägen, Sweden
- Invited talk on 'ChatGPT: Where the AI bot is moving towards?' arranged by deans of school MDU. 10th Mar 2023
- Invited speaker on 'AI for health care' Seminar on Al in Health Care - research, development, and applications. Region Västmanland, Västerås hospital, 29th Sep 2023
- Seminar on Artificial Intelligence for 25 retired persons (aged between 60 and 80), 14th Mar, 2018, MDH, Västerås.
- Presentation and discussion on Artificial Intelligence and machine learning for year 5 and year 6 students (aged between 10 and 12) during their career day, 6th Dec, 2018, International English School, Västerås
- Invited talk on ''A New Era Of Artificial Intelligence' Kunskapfest (Knowledge Festival), for students (aged between 16-20), 29th Oct 2022, Esklistuna, Sweden
- Speaker on 'Trustworthy AI' for 'Management and IT' conference, 19th Apr 2023, Västerås, Sweden arranged by the national research school with 12 universities cooperating in the field of business administration and information system.
My research activities in the field of AI are centred around research on AI that investigates the underlying principles, theories, and core concepts of AI algorithms, methods, and techniques as well as the demonstration of that in real complex application domains.
As an AI researcher, my main goal is to enhance our understanding of AI systems—their theoretical foundations and capabilities to make the best use of them and promote
the deployment of AI in society and industry.
Shahina has been listed amongst the 100 most relevant researchers in sustainable AI algorithm development by the Royal Swedish Academy of Engineering Sciences 2020.
A Multimodal Approach for Enhancing Decision Support in Remote Digital Tower (Sep 2025) Mobyen Uddin Ahmed, Shaibal Barua, Mir Riyanul Islam, Ricky Stanley D Cruze , Shahina Begum, Sara Kebir , Alexandre Veyrie , Christophe Hurter 2025 10th International Conference on Machine Learning Technologies (ICMLT 2025)
Towards Sustainable AI Development: A Focus on Transparency and Explainability (Jul 2025) Shahina Begum, Mobyen Uddin Ahmed, Mosarrat Farhana 2nd International Conference on Creativity, Technology, and Sustainability (CCTS)
ENHANCING EXPLAINABILITY, ROBUSTNESS, AND AUTONOMY: A COMPREHENSIVE APPROACH IN TRUSTWORTHY AI (May 2025) Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Abu Naser Masud, Gianluca Di Flumeri , Nicolò Navarin IEEE Symposium on Explainable, Responsible, and Trustworthy CI (IEEE CITREx)
In-Depth Analysis of Diverse Driver Behaviors using Hybrid Multimodal Machine Learning (Mar 2025) Mera Abudiab , Francisco Javier Pérez Núñez , Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Arnab Barua International Conference on Computer and Information Technology (ICCIT)
Advanced Hybrid Reasoning and Transfer Learning on Multimodal Data with Transformers (Feb 2025) Arnab Barua, Mobyen Uddin Ahmed, Shahina Begum Springer Nature Computer Science (SNCS)
Role of Multi-modal Machine Learning, Explainable AI and Human-AI Teaming in Trusted Intelligent Systems for Remote Digital Towers (Jan 2025) Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Waleed Reafee Sbu Jmoona, Ricky Stanley D Cruze , Alexandre Veyrie , Christophe Hurter 7th Artificial Intelligence and Cloud Computing Conference (AICCC2024)
Md Mohsin Kabir
Md Rakibul Islam
Mohammed Ghaith Altarabichi (former)
Shaibal Barua (former)
Tahira Salwa Rabbi Nishat
Arnab Barua
Hamidur Rahman (former)
Mir Riyanul Islam (former)
Sara Abbaspour (former)
Sharmin Sultana Sheuly (former)
Taha Kahn (former)