Students and Collaborators

PhD position*: 

If you are a bright and hardworking master's student with a solid background in statistics (or mathematics/computer science with good knowledge of statistics) and want to develop statistical methodologies that solve real-life problems in medical science, then drop me an email. 

*For fellowship, you need to qualify for a national-level examination like GATE, UGC/CSIR NET-JRF. Next Admission in March-April 24.


PhD Student:

Rik Ghosh (Jan 2020 - ): MSc in Statistics, IIT Kanpur 

Bittu Karmakar (July 2023 - )

BTech Math & Computing project Students: 

AY 2023-24:

Project 1: Pragyan Banerjee & Sahil Kumar Gupta. Broad Area: Public Health 

Project 2: Soham Roy & Suphal Athlur. Broad Area: Mental Health

Project 3: Aman Bucha & Shivendu Mishra. Broad Area: Privacy

   Enhancing Technology (PET)

Project 4: Aditya Pandey & Chintala Akshay. Broad Area: AI Assisted         Suggestive Mapping


AY 2022-23:

Project 1: Arjun Dey and Vikram Damle. Broad Area: Public Health         System

Project 2: Abhishek Agrahari. Broad Area: Public Health System

Project 3: Gitanjit Medhi and Shashwat Sharma. Broad Area: Mental         Health


AY 2021-22:

Project 1: Eklavya Jain and J. Neeraja (Awarded the prestigious Samsung Fellowship)

Submitted Research Paper: Jain E., Neeraja J., Banerjee B., Ghosh P., A Diagnostic Approach to Assess the Quality of Data Splitting in Machine Learning. (arxiv)

Project 2: Rashi Mohta and Sravya Prathapani: Both Awarded the prestigious Samsung Fellowship

Accepted Research Paper: Mohta R., Prathapani S., Ghosh P., Jump-Drop Adjusted Prediction of Cumulative Infected Cases using the Modified SIS Model. Annals of Data Science (Accepted) (medRxiv)

AY 2020-21: 

Project 1: Trikay Nalamada and Shruti Agarwal: Awarded the prestigious Samsung Fellowship to carry out the translational research for their BTech project, Estimating Optimal Penalized Shared-Parameter Dynamic Treatment Regimens

Project 2: Abhinav Anand  and Saurabh Kumar

Published Research Paper: Anand A., Kumar S., and Ghosh P. Dynamic Data-Driven Algorithm to Predict the Cumulative COVID-19 Infected Cases Using Susceptible-Infected-Susceptible Model. Epidemiologic Methods, 2021 (Get it here). 


MTech Data Science project Student: 

AY 2020-21:

Rohit Jain (Jointly with Prof. Arijit Sur, CSE, IITG): Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network.  (Best MTech Data Science Thesis Award, IITG), Multimedia Tools and Applications (Accepted, 2023).

AY 2022-23:

Jothiprakash K (Jointly with Prof. Arijit Sur, CSE, IITG)


MSc Math & Computing project Students: 

AY 2023-24:

Project 1: Ankit Rajput:      Reinforcement Learning MHealth

Project 2: Gautam Prasad: Recommendation System

AY 2022-23:

Project 1: Deepali Dagar:      Optimum Fertility Rate of India

Project 2: Shagun Jaiswal: Prediction of Length Of Menstrual Cycle

AY 2021-22:

Project 1: Kritika Gulati

Submitted Research Paper: Gulati K., Longkumer I., Ahmed G.N., Baruah M.N., Ghosh P., Understanding the cancer trends: An analysis of HBCR Data from  Northeast India. Submitted.

Project 2: Rohit Rakesh Gupta

Department of Statistics and Applied Probability, National University of Singapore (AY 2020-21):

Fu Teck Liew (Jointly with Dr. Bibhas Chakraborty, Duke-NUS, Singapore): 

Published Research Paper: Liew F.T., Ghosh, P., and Chakraborty, B. Accounting for the Role of Asymptomatic Patients in Understanding the Dynamics of the COVID-19 Pandemic: A Case Study from Singapore. Epidemiologic Methods, 2022 (Get it here )


Collaborators: