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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 25.
PhD Student:
Rik Ghosh (Jan 2020 - ): MSc in Statistics, IIT Kanpur. Area: Adaptive Randomization in Sequential Multiple Assignment Randomized Trial (SMART)
Rahul Goswami (2021 -)[Jointly with Dr. Tanujit Chakraborty]: MSc in Statistics & Computing, BHU, Varanasi. Area: Design and Analysis of Hybrid Machine Learning Systems for Health Care Data
Bittu Karmakar (July 2023 - ): MSc in Mathematics, IIEST Shibpur. Area: Data Privacy
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 (Best MSc Maths & Computing Thesis Award, IITG)
Project 2: Shagun Jaiswal: Prediction of Length Of Menstrual Cycle
AY 2021-22:
Project 1: Kritika Gulati
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:
Bibhas Chakraborty, Duke-NUS Medical School, Singapore
Arijit Sur, Deptment of Computer Science and Engineering, IIT Guwahati
Buddhananda Banerjee, Department of Mathematics, IIT Kharagpur
Souvik Roy, Economic Research Unit, Indian Statistical Institute, Kolkata
Yan Xiaoxi, Duke-NUS Medical School, Singapore
Maria Jahja, Department of Statistics and Machine Learning Department, Carnegie Mellon University, USA
Inbal (Billie) Nahum-Shani, University of Michigan, USA
Bonnie J Spring, Northwestern University, USA
Erica EM Moodie, McGill University, Canada
Augustus John Rush, Duke-NUS Medical School, Singapore
Sujoy Ghosh, Duke-NUS Medical School, Singapore
Ennaliza Salazar, SingHealth, Singapore General Hospital, Singapore
Anup Dewanji, Indian Statistical Institute, Kolkata
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