Scientist Profile

Profile Details

Contact Details

Academic Qualifications:

  • 1. B.Tech in Information Technology from National Institute Technology (NIT) Allahabad, U.P
    2. M.Tech in Computational Systems Biology from Jawaharlal Nehru University (JNU), New Delhi.
    3. Ph.D in Computational Biology & Bioinformatics from Jawaharlal Nehru University (JNU), New Delhi.

Address(O):

  • RMRC NE Region (ICMR), Post Box No: 105, Dibrugarh-786001, Ph: +91-373- 2381494, 2381506, 2381548, 2381566, 2915681

Dr. Saurav Mandal

Scientist B

ICMR- Regional Medical Research Centre, NE, Dibrugarh

About Profile

I specialize in developing predictive models using state-of-the-art Machine Learning and Deep Learning algorithms, particularly focused on biomedical image, genomics, transcriptomics, proteomics data. I am also involved in understanding complex biological systems characterized by non-linear dynamics and self-organization.

Area of Interest

Machine Learning, Deep Learning, Computer Vision, Next Generation Sequencing, Complex Systems

Research Experience

Designation Institution
ICMR-SRF Jawaharlal Nehru University (JNU), New Delhi.
CSIR-SRF Jawaharlal Nehru University (JNU), New Delhi.
JRF Jawaharlal Nehru University (JNU), New Delhi.

Awards & Acheivements

Professional Experience

Designation Institution / Industry
Scientist-B ICMR-Regional Medical Research Center, Dibrugarh
Scientific Manager Excelra Pvt. Limited, Hyderabad

Publications

  1. Hanuman Verma, Saurav Mandal and Akshansh Gupta. “Temporal deep learning architecture for prediction of COVID-19 cases in India” Expert Systems with Applications 195, (2022): 116611
  2. Saurav Mandal, Tanmoy Roychowdhury, and Alok Bhattacharya. “Pattern of genomic variation in SARS-CoV-2 (COVID-19) suggests restricted non-random changes: Analysis using Shewhart control charts.” Journal of Biosciences 46 (2021): 1-7.
  3. Saurav Mandal, et al. “Complex multifractal nature in Mycobacterium tuberculosis genome, Scientific reports.” (2017): 46395.
  4. Roychowdhury, Tanmoy, Saurav Mandal, and Alok Bhattacharya. “Analysis of IS 6110 insertion sites provide a glimpse into genome evolution of Mycobacterium tuberculosis.” Scientific reports 5.1 (2015): 12567.
  5. Saurav Mandal, et al. “Stochastic method to control Mycobacterium tuberculosis epidemic.” Computational Biology and Chemistry 87 (2020): 107250
  6. Saurav Mandal, et al. “Complexity in SARS-CoV-2 genome data: Price theory of mutant isolates” BioRxiv, 2020.05. 04.077511

Projects

Staff

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