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, 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
- 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.
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[Google Scholar author page]
Latest publications: Balancing Fairness: Unveiling the Potential of SMOTE-Driven Oversampling in AI Model Enhancement
(May 2024) Md Alamgir Kabir , Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Md Rakibul Islam International Conference on Machine Learning Technologies (ICMLT)
Examining Decision-Making in Air Traffic Control: Enhancing Transparency and Decision Support Through Machine Learning, Explanation, and Visualization: A Case Study
(Mar 2024) Christophe Hurter
, Augustin Degas
, Arnaud Guibert
, Maelan Poyer
, Nicolas Durand
, Alexandre Veyrie
, Ana Ferreira
, Stefano Bonelli
, Mobyen Uddin Ahmed, Waleed Reafee Sbu Jmoona, Shaibal Barua, Shahina Begum, Giulia Cartocci
, Gianluca Di Flumeri
, Gianluca Borghini
, Fabio Babiloni
, Pietro Aricò 16th International Conference Agents and Artificial Intelligence (ICAART2024)
iXGB: Improving the Interpretability of XGBoost using Decision Rules and Counterfactuals
(Mar 2024) Mir Riyanul Islam, Mobyen Uddin Ahmed, Shahina Begum 16th International Conference Agents and Artificial Intelligence (ICAART2024)
Second-Order Learning with Grounding Alignment: A Multimodal Reasoning Approach to Handle Unlabelled Data
(Feb 2024) Arnab Barua, Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Andrea Giorgi 16th International Conference Agents and Artificial Intelligence (ICAART2024)
Multi-scale Data Fusion and Machine Learning for Vehicle Manoeuvre Classification
(Nov 2023) Arnab Barua, Mobyen Uddin Ahmed, Shahina Begum IEEE International Conference on System Engineering and Technology (ICSET2023)
Heuristic Approach for Cognitive Digital Twin Technology – A Technical Report
(Nov 2023) Atiq Ur Rehman, Mobyen Uddin Ahmed, Shahina Begum