Dr Anandadeep Mandal

Dr Anandadeep Mandal

The Department of Finance
Associate Professor in Finance
Scotcoin Distinguished Chair of Digital Finance and Programme Director MBA (Distance Learning)

Contact details

Telephone
+44 (0)121 414 9211
Email
a.mandal@bham.ac.uk
View my research portal
Address
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Anandadeep Mandal is the Distinguished Chair of Digital Finance at the University of Birmingham and the founding director of the MSc Financial Technology programme. An applied mathematician by training, his work sits at the intersection of mathematical modelling, AI, finance and digital innovation. He holds a PhD in Probability Distribution Fitting from Cranfield University, dual Master’s degrees (in Management Science and in Finance & Investment) and an undergraduate degree in Electronics Engineering, laying the foundation for his data-driven, interdisciplinary research. 

His current innovations include a patent-pending AI platform in digital education technology, designed to support educators in assessing complex, multi-modal student submissions with enhanced accuracy, transparency and scalability. This platform applies advanced AI and ensemble methods to streamline feedback and grading in digitally enabled learning environments. 

Dr Mandal has successfully secured over £2 million in research funding, leading numerous projects funded by UKRI, UoB QR Funding and industry partners. His research spans ESG performance measurement, AI-enabled investment strategies, blockchain for financial transparency and the development of the Sustainable Efficiency Index (SEI), a novel metric addressing the limitations of traditional ESG ratings. 

His impact extends beyond academia through strategic collaborations (NHS Trusts, NIHR, UK Government), directly influencing policy and practice in healthcare and finance. A strong advocate of inclusive public engagement, Dr Mandal regularly contributes to science festivals, delivers outreach for young learners, and has provided expert evidence to UK Parliamentary consultations on AI, sustainability and financial innovation.

Qualifications

  • PhD on Probability Distribution Fitting, Cranfield University (2016)
  • MRes in Management Science, Cranfield University (2012)
  • MSc in Finance and Investments, Durham University (2008)

Teaching

Undergraduate: Advanced Finance
Postgraduate: Big Data Management and Risk Management for MSc Financial Technology and MSc Investment students.

Postgraduate supervision

Themes: Machine and Deep Learning Models, AI for Society, Integrative Analytics, Risk Modelling, Cryptography and Digital Finance, Blockchain, Regenerative Finance

Publications

Recent publications

Article

Poshakwale, SS, Qian, B & Mandal, A 2026, 'Market Frictions, Ambiguity and Asset Pricing: Evidence from China', Review of Quantitative Finance and Accounting. https://doi.org/10.1007/s11156-026-01508-7

Kapoor, D, Ahuja, K, Kumar, D, Puri, P, Jangirala, S, Gupta, V & Mandal, A 2026, 'SHIELD: System for Harmful explicit-content Identification and Evaluation through LLM-Driven approach', IEEE Access. https://doi.org/10.1109/ACCESS.2026.3667099

Mhaske, P, Bhattacharjee, B, Haldar, N, Upadhyay, P & Mandal, A 2025, 'Bridging digital skill gaps in the global workforce: A synthesis and conceptual framework building', Research in Globalization, vol. 11, 100311. https://doi.org/10.1016/j.resglo.2025.100311

Qian, B, Tan, Y, Power, G & Mandal, A 2025, 'Economic Policy Uncertainty, Information Production and Transparency', International Review of Financial Analysis, pp. 1-27. https://doi.org/10.1016/j.irfa.2025.104203

Mandal, A, Kaushal, A & Acharjee, A 2024, 'Climate-related discussions on social media: critical lessons for policymakers', National Institute Economic Review. https://doi.org/10.1017/nie.2024.7

Kaushal, A, Mandal, A, Khanna, D & Acharjee, A 2023, 'Analysis of the opinions of individuals on the COVID-19 vaccination on social media', Digital Health , vol. 9. https://doi.org/10.1177/20552076231186246

Reddy, RC, Bhattacharjee, B, Mishra, D & Mandal, A 2022, 'A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy', Information Systems and e-Business Management, vol. 20, no. 1, pp. 223-255. https://doi.org/10.1007/s10257-022-00550-x

J. Power, G, Rani, N & Mandal, A 2022, 'Corporate control and the choice of investment financing: the case of corporate acquisitions in India', Review of Quantitative Finance and Accounting, vol. 58, pp. 41–68. https://doi.org/10.1007/s11156-021-00987-0

Conference contribution

Jangirala, S, Verma, DC, Yadav, JK, Srivastava, SK & Mandal, A 2025, An Investigation into Bitcoin Trading: Are the Bans Sufficient to Regulate the Trade? in M Tuba, S Akashe & A Joshi (eds), ICT Systems and Sustainability: Proceedings of ICT4SD 2024, Volume 2. 1 edn, vol. 2, Lecture Notes in Networks and Systems, vol. 1160, Springer, pp. 213-223, 8th International Conference on ICT for Sustainable Development, ICT4SD 2024, Goa, India, 8/08/24. https://doi.org/10.1007/978-981-97-8591-9_19

Jangirala, S, Verma, DC, Yadav, JK, Srivastava, SK & Mandal, A 2025, Cryptocurrency Policy Stance of BRICS Countries. in M Tuba, S Akashe & A Joshi (eds), ICT Systems and Sustainability: Proceedings of ICT4SD 2024, Volume 2. 1 edn, Lecture Notes in Networks and Systems, vol. 1160, Springer, pp. 225-236, 8th International Conference on ICT for Sustainable Development, ICT4SD 2024, Goa, India, 8/08/24. https://doi.org/10.1007/978-981-97-8591-9_20

Sharma, P, Jangirala, S & Mandal, A 2024, Smart Cities in India: A Bibliometric Analysis. in AK Bairwa, V Tiwari, SK Vishwakarma, M Tuba & T Ganokratanaa (eds), Computation of Artificial Intelligence and Machine Learning: First International Conference, ICCAIML 2024, Jaipur, India, January 18–19, 2024, Proceedings, Part II. 1 edn, Communications in Computer and Information Science, vol. 2185, Springer, pp. 233-243, 1st International Conference on Computation of Artificial Intelligence and Machine Learning, ICCAIML 2024, Jaipur, India, 18/01/24. https://doi.org/10.1007/978-3-031-71484-9_21

Patent

Mandal, A & Madjlesi, S Jun. 12 2025, Automated teacher assistance (ATA) platform for evaluation, interpretation, and consensus-based grading of multi-modal student submissions, Patent No. GB2509323.8.

Preprint

Pei, Y, Cartlidge, J, Mandal, A, Gold, D, Marcilio, E & Mazzon, R 2025 'Cross-Modal Temporal Fusion for Financial Market Forecasting' arXiv, pp. 1-10. https://doi.org/10.48550/arXiv.2504.13522

Issac, SS, Jangirala, S & Mandal, A 2025 'Forecasting Carbon Intensity in Great Britain: A Sarimax Approach' SSRN, pp. 1-17. https://doi.org/10.2139/ssrn.5251053

Review article

Paul, SN, Mary Chacko, A, Bhattacharjee, B & Mandal, A 2026, 'Deep learning-based price forecasting in energy markets: a systematic literature review and future research directions', Engineering Research Express, vol. 8, no. 12. https://doi.org/10.1088/2631-8695/ae76d8

View all publications in research portal

Expertise

Health and NHS, Business and Economy, Benefits, Cost of Living and Tax, Climate and Environment, Foreign Affairs and International Aid