Dr Anandadeep Mandal

Dr Anandadeep Mandal

The Department of Finance
Associate Professor in Finance
Scotcoin Distinguished Chair of Digital Finance and Programme Director MSc Financial Technology

Contact details

Telephone
+44 (0)121 414 9211
Email
a.mandal@bham.ac.uk
Address
University 麻豆精选
Edgbaston
Birmingham
B15 2TT
UK

Dr Anandadeep Mandal is an applied mathematician with both theoretical and empirical interests in the field of quantitative finance. He also has a keen interest in formulating strategies through ‘data-driven problem solving’ approach. His research underpins a desire to learn, understand and explain the complex dynamics of the key issues in the society ranging from financial economics to healthcare.

Apart from mainstream disciplinary journals, he has several high impact articles involving inter-disciplinary collaborations on health applications, leading to decision making by health organizations like the NHS and the UK government.

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

Qian, B, Tan, Y, Power, G & Mandal, A 2025, '', International Review of Financial Analysis, pp. 1-27.

Mandal, A, Kaushal, A & Acharjee, A 2024, '', National Institute Economic Review.

Kaushal, A, Mandal, A, Khanna, D & Acharjee, A 2023, '', Digital Health , vol. 9.

Reddy, RC, Bhattacharjee, B, Mishra, D & Mandal, A 2022, '', Information Systems and e-Business Management, vol. 20, no. 1, pp. 223-255.

J. Power, G, Rani, N & Mandal, A 2022, '', Review of Quantitative Finance and Accounting, vol. 58, pp. 41鈥�68.

Sethi, S, Manuelpillai, N, Mandal, A, Simpson, O, Morrissey, H, Ball, P, Sharrod-Cole, H, Ford, C, C. Whitttiker, A, Drayson, M, Race, A, Bateman, J, Basu, S & Cotton, J 2022, '', Brain, Behaviour, and Immunity Health, vol. 24, 100492.

Oliveira, AMBDO, Mandal, A & Powers, G 2022, '', Annals of Data Science.

Kaushal, A, Acharjee, A & Mandal, A 2022, '', Scientific Reports, vol. 12, no. 1, 19033.

Morrissey, H, Ball, P, Mandal, A, Nevil, A, Paneesha, S, Basu, S, Karim, F, Hossain, MI, Phillips, N, Khawaja, J, Tanswell, J, Murray , D, Randall , K, Murthy , V, Kishore , B, Nikolousis , M, Pratt, G, Neilson , J, Pemberton , N & Wandroo , F 2021, '', Journal of Blood & Lymph, vol. 11, no. 6, 254. <>

Sethi, S, Kumar, A, Mandal, A, Shaikh, M, Hall, CA, Kirk, JMW, Moss, P, Brookes, MJ & Basu, S 2021, '', Trials, vol. 22, no. 1, 296.

Sethi, S, Kumar, A, Mandal, A, Shaikh, M, Hall, CA, Kirk, J, Moss, P, Brookes, MJ & Basu, S 2021, '', BMJ open, vol. 11, no. 6, e048856, pp. 1-11.

Moreira Barreto de Oliveira, A, Binner, J, Mandal, A, Kelly, L & J. Power, G 2021, '', BMC Public Health, vol. 21, no. 1, 2173 , pp. 1-14.

Chapter (peer-reviewed)

Jangirala, S, Verma, DC, Yadav, JK, Srivastava, SK & Mandal, A 2025, . in ICT Systems and Sustainability. Springer, pp. 225-236.

Sharma, P, Jangirala, S & Mandal, A 2024, . in AK Bairwa, V Tiwari, SK Vishwakarma, M Tuba & T Ganokratanaa (eds), Computation of Artificial Intelligence and Machine Learning. 1 edn, Communications in Computer and Information Science, vol. 2185, Springer, pp. 233-243.

Preprint

Pei, Y, Cartlidge, J, Mandal, A, Gold, D, Marcilio, E & Mazzon, R 2025 '' arXiv, pp. 1-10.

Expertise

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