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.

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

List of Publications:

1. Srivastava S., Agarwal A., Bansal P. (2024). Non-homogeneous DEA approach in the presence of negative data: A promising prospective approach to enhance decision-making. Computational and Applied Mathematics. 43: 255. DOI: https://doi.org/10.1007/s40314-024-02769-5.  

2. Bansal P., Srivastava S., Aggarwal A. (2023). Two stage interval dynamic DEA model incorporating cumulative prospect theory. Soft Computing.

DOI: https://doi.org/10.1007/s00500-023-09387-z.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.  

8.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.

9. 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.

10. 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.

Papers Presented:

1. Gulia A. Bansal P. Non-homogeneous DEA model handling undesirable data: An application for assessing performance of Life Insurance Companies. International Conference on Data Envelopment Analysis organized by BIMTECH (Nov 2024)

2. Bansal P. Sequential Malmquist-Luenberge productivity index for interval data envelopment analysis. International symposium on applied optimization and game theoretic models for decision making (ISOGTDM) organized by ISI Delhi center (Feb 2023).

3. Bansal P., Mehra A. Directional distance function based super efficiency integer dynamic data envelopment analysis model. International Conference on DEA organized by University of Economics, Prague, Czech Republic (June 2017).
                  
4. Bansal P., Mehra A. Directional distance based efficiency and super efficiency DEA models. ORSI, BIMTECH (Dec 2016).
    
5. Bansal P., Mehra A. Models and applications of data envelopment analysis (DEA). CMOR-16, BKBIET Pilani (Oct 2016).

Workshops Attended:

1. Participated in workshop on Data Envelopment Analysis (DEA) held in BIMTECH, Greater Noida, during November 2024.

2. Participated in workshop on Data Envelopment Analysis (DEA) held in South Asian University, Delhi, during November 2018.

3. Participated in the Workshop on Computational Statistics being organized by the Interdisciplinary Statistical Research Unit (ISRU), ISI, Kolkata, during March 2018.

4. Participated in workshop on Data Envelopment Analysis (DEA) held in BIMTECH, Greater Noida, during December 2016.

Experience:

1. Early Doc Fellow in Department of Mathematics, IIT Delhi, New Delhi from April 2021-- July 2021.

2.Visiting Faculty in University school of Automation and Robotics, Guru Gobind Singh Inderprastha University, New Delhi, from December 2021-- July 2022 

3. Assistant Professor in Netaji Subhas University of Technology, Dwarka (Main Campus), New Delhi from Jan 2023--Current.

Registered Ph.D. Students:

S. NO.	Name & Roll no.	Supervisor Name	Title of Research Work	Date of Ph.D. Admission	Current Status
1.	Akash Jain (2022RMA1703)	Dr. Pooja Bansal	Mathematical modelling of fuzzy and non-homogeneous DEA.	30-12-2022	Ongoing
2.	Shivani Kalyan (2023RMA1702)	Dr. Pooja Bansal	Efficiency Analysis and Productivity change measurement utilizing data envelopment analysis.	20-07-2023	Ongoing

PG Dissertation Guided:

S.No.	Name & Roll No. of Students	Supervisor Name	Title of Research work	Level	Status	Award Date
1.	Anchal Gulia (2022PMA6926)	Dr. Pooja Bansal	Non-homogeneous DEA models and its applications.	PG	Completed	2024
2.	Nancy Kajal (2022PMA6925)	Dr. Pooja Bansal	Network DEA models and its applications in banking.	PG	Completed	2024
3.	Navya Lohia (2022PMA6928)	Dr. Pooja Bansal	Review of DEA models integrated with multi-criteria decision making	PG	Completed	2024