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Faculty Members

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Assistant Professor

Saheli Bose

: 8902644031
: sahelib@bitmesra.ac.in

Qualification → PhD

Area of Interest

  • Development Economics
  • Political Economy
  • Social Networks

Field of Interest → Development Economics, Political Economy, Social Networks


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Assistant Professor

Tina Dutta

: 9113423225
: tina.dutta@bitmesra.ac.in

Qualification → Ph.D. (Fellow, IIM Calcutta)

Area of Interest

  • Labour Migration
  • Gender
  • Public Health
  • Business Analytics (HR analytics, Operations Analytics, Health Analytics, Marketing Analytics)
  • Mathematical Demography

Field of Interest


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Assistant Professor

Shrimoyee Ganguly

: 8777611522
: shrimoyee@bitmesra.ac.in

Qualification → B.A. (Hons.), M.A., M.Phil., Ph.D. in Economics (Jadavpur University)

Area of Interest

  • International Trade policy
  • Product Quality
  • Labour market
  • Monetary policy
  • Infrastructure development
  • Export promotion

Field of Interest


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Assistant Professor

Mrinal Jana

: 9681121689
: mjana@bitmesra.ac.in

Qualification → Ph.D. in Mathematics (IIT Kharagpur)

Area of Interest

  • Optimization theory
  • Optimization under interval uncertainty
  • Numerical optimization
  • Portfolio optimization
  • Interval matrices

Field of Interest → Optimization


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Joined : 12-Sep-2009
Assistant Professor

Kusum Lata Mishra

: 6378354466
: dr.kusum@bitmesra.ac.in

Qualification → PhD

Area of Interest

General Management  and Human Resource

Field of Interest → Human Resource


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Joined : 20-Sep-2021
Assistant Professor

Manish K Pandey

: 7388140147
: manishkpandey@bitmesra.ac.in

Qualification → Ph.D. (Computer Science)

Area of Interest

  • Artificial Intelligence for Climate Change Analytics
  • Hyperspectral Data Analytics
  • Big Data Analytics in Agriculture
  • Web Services Recommendation
  • Machine Learning for Vehicular & Financial Analytics
  • Cloud Computing

 

Field of Interest → Healthcare Stream Analytics, Vehicular Analytics, Climate Extremes, Hyperspectral Image Processing, Precision Agriculture


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Joined : 2-Jan-2025

Ashkamini

: 7759855642
: ashkamini14@bitmesra.ac.in

Qualification → PhD

Area of Interest

Bayesian Analysis, Bayesian Inferences

Field of Interest → Reliability, Copula Models


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Joined : 6-Jan-2025

Shreyashi Basak

: 9674213870
: shreyashibstat@bitmesra.ac.in

Qualification → Ph.D.

Area of Interest

Statistical Inference, Data Science

Field of Interest → Statistical Inference


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Joined : 3-Jan-2025

Sunny Bhushan

: 9559034846
: sunnyb@bitmesra.ac.in

Qualification → Ph.D.

Area of Interest

Law and Economics, Economics of Conflict, Geopolitics

Field of Interest → Law and Economics, Economics of Conflict, Microeconomics, Contract Economics


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Pushkal Kumar

: 7004991033
: pushkal.k@bitmesra.ac.in

Qualification → PhD

Area of Interest

  • Statistical Classification Problem
  • Bayesian Inference 
  • Inference based on Censored Data
  • Inference under the Equality Restrictions

Field of Interest → Bayesian Data Analysis, Statistical Inference , Decision Theory, Mathematical Statistics 


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Joined : 7-Jan-2025

Sumit Kumar

: 8707811277
: schaurasia@bitmesra.ac.in

Qualification → B.tech, M.Tech, Ph.D

Area of Interest

Machine Learning 

Deep Learning

Image Processing

Field of Interest → Machine Learning, Image Processing


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Joined : 13-Dec-2024

Lakshman Mahto

: 6200824744
: lakshman@bitmesra.ac.in

Qualification → PhD

Area of Interest

Dynamical systems & control: Modelling forced or unforced evolution in a state space & establishing its stability and control. Theoretical & data driven system dynamics in statistical learning framework, computing system dynamics, stability & control to estimate perception, prediction & planning in an autonomous control system.
Statistical learning: Designing a predictive function in statistical learning framework with discriminative modelling (e.g. regression) or generative modelling (e.g. multi-modality with CVAE) by minimizing a suitable loss function. Transforming a learning problem as an optimization problem.
Optimization: first order & second order adaptive descent algorithms, interior point method for convex problems. Convexification or relaxation or breaking symmetry or introducing uncertainty in non-convex problems & transforming geometrical or physical intuition of the problem into a scalable optimization algorithm.

Field of Interest → Learning dynamical systems and control, autonomous control systems