Bio-Sketch:

Dr. Pooja Bansal is an Assistant Professor in the Department of Mathematics, Netaji Subhas University of Technology, New Delhi. Dr. Pooja Bansal has completed her doctoral degree titled “Data Envelopment Analysis Models for Efficiency Evaluation and Productivity Assessment in the Backdrop of Disparate Data and Structures” in the year 2021 from the department of Mathematics, Indian Institute of Technology Delhi. Prior to that, she has completed her B.sc. and M.sc. from Punjabi University Patiala Punjab. She has Qualified GATE Mathematics and CSIR NET (JRF) examination with AIR-58 in 2014. Her Ph.D. has been funded by the Council of Scientific and Industrial Research (CSIR) for five years. During her Ph.D. in IIT Delhi, she developed solid theoretical models that have made a significant contribution to the field of research. She is well-versed in conducting multidisciplinary research. Her research emphasizes theoretical DEA frameworks that can handle a variety of practical situations arising in real-life problems and fill some of the long-standing research gaps in the existing research in DEA. She has advanced expertise in a variety of softwares like LINGO, R, and Matlab. She has presented her research work in many international conferences abroad as well as India.
Prior to joining NSUT, Dr. Bansal worked as a visiting Assistant Professor in University school of automation and robotics, Guru Gobind Singh Indraprastha University from Dec 2022 to July 2023. Till now, she has published 8 research papers in the peer reviewed journals of national and international repute. 

Areas of Interest: Optimization, Data Envelopment Analysis, Efficiency analysis, Fuzzy DEA.

List of Publications:

(i) Srivastava S., Agarwal A., Bansal P. (2023). Efficiency evaluation of assets and optimal portfolio generation by cross efficiency and cumulative prospect theory. Computational Economics. DOI: https://doi.org/10.1007/s10614-022-10334-7.
(ii) Bansal P., Kumar S., Mehra A.  and Gulati R. (2022). Developing two dynamic Malmquist-Luenberger productivity indices: An illustrated application for assessing productivity performance of public sector banks in India. Omega, 107: 102538. DOI: https://doi.org/10.1016/j.omega.2021.102538.
(iii) Bansal P. and Mehra A. (2022). Malmquist-Luenberger productivity indexes for dynamic network DEA with undesirable outputs and negative data. RAIRO- Operations Research, 56(2022): 649-687. DOI: https://doi.org/10.1051/ro/2022023.
(iv) Bansal P. (2022). Sequential Malmquist-Luenberger productivity index with interval data. Journal of Industrial and Management Optimization (JIMO). 19(4) : 2616-2638 (2023). DOI: https://doi.org/10.3934/jimo.2022058.
(v) Bansal P., Mehra A., and Kumar S. (2021). Dynamic Metafrontier Malmquist-Luenberger productivity index in network DEA: An application to banking data. Computational Economics, 59: 297--324. DOI: https://doi.org/10.1007/s10614-020-10071-9.
(vi) Bansal P. and Mehra A. (2021). A directional distance-based dynamic integer-valued integrated interval DEA model handling negative data. Journal of Industrial and Management Optimization (JIMO), 18(2): 1339--1363. DOI: https://doi.org/10.3934/jimo.2021023.
(vii) Bansal P. and Mehra A (2019). Directional distance function based super efficiency integer dynamic data envelopment analysis model. Data Envelopment Analysis, 4: 149--186. DOI: https://doi.org/10.1561/103.00000025.
(viii) Bansal P. and Mehra A (2018). Multi-period super-efficiency DEA model in presence of non-positive and undesirable data. Opsearch, 55: 642--661. DOI: https://doi.org/10.1007/s12597-018-0343-z.