OPTImization for MAchine Learning (OPTIMAL) Research Group
INDIAN INSTITUTE OF TECHNOLOGY INDORE
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OPTImization for MAchine Learning (OPTIMAL)
Research Group
Please see GitHub respository for codes.
RESEARCH FUNDING @IITI

Development of the deep learning-based risk prediction and diagnostic model for Alzheimer's Disease using integration of functional and structural MRI Scans

Sponsoring Agency : SERB Core Research Grant
Period : 2022-2025
Role : Co -Principal Investigator
Other Investigators: PI - Dr. Tripti Goel (NIT Silchar) and Co-PI - Prof. Manjari Tripathi (AIIMS, Delhi)
Sanctioned Amount : INR 30 Lakhs Status : Approved

Novel large-scale machine learning algorithms and their applications

Sponsoring Agency : SERB, Govt of India
Period : 2022-2025
Role : Principal Investigator
Sanctioned Amount : INR 6.60 Lakhs Status : Ongoing

Classification and prediction of Alzheimer disease using multimodal imaging data

Sponsoring Agency : Science and Engineering Research Board (SERB), New Delhi, INDIA under Ramanujan Scheme
Period : 2016-2021
Role : Principal Investigator
Sanctioned Amount : INR 89 Lakhs Status : Completed

Diagnosis of Alzheimer's disease using brain imaging data

Sponsoring Agency : National Supercomputing Mission under DST and Miety, Govt of India
Period : 2021-2023
Role : Principal Investigator
Sanctioned Amount : INR 19.06 Lakhs Status : Ongoing


Development of novel machine learning algorithms for automated detection of seizure using EEG signals

Sponsoring Agency : Department of Science and Technology (DST) research project under ICPS - Data Science Research Initiative Scheme
Period : 2019-2022
Role : Principal Investigator
Other Investigators : Joint PI: Anirban Chakraborti (JNU New Delhi) and Dr. Akshansh Gupta (CSIR CEERI Pilani)
Sanctioned Amount : INR 15 Lakhs Status : Completed


Prognostic biochemical markers for COVID-19 associated neurological sequelae: Understanding through Machine Learning

Sponsoring Agency : ICMR
Period : 2022-2024
Role : Co -Principal Investigator, PI - Dr. Hem C Jha
Sanctioned Amount : INR 28 Lakhs Status : Ongoing



Identification of blood and associated parameters in COVID-19 linked comorbidity through multiomics and machine learning approaches

Sponsoring Agency : ICMR
Period : 2022-2024
Role : Co -Principal Investigator, PI - Dr. Hem C Jha
Sanctioned Amount : INR 15 Lakhs Status : Ongoing


Optimization models and algorithms for non-parallel support vector machines

Sponsoring Agency : Science and Engineering Research Board (SERB), New Delhi, INDIA under Early Career Research Award Scheme
Period : 2017-2020
Role : Principal Investigator
Sanctioned Amount : INR 26 Lakhs Status : Completed


Detection of human brain disorders using novel machine learning approaches

Sponsoring Agency : Council of Scientific & Industrial Research (CSIR), New Delhi, INDIA under Extra Mural Research (EMR) Scheme
Period : 2018-2021
Role : Principal Investigator
Sanctioned Amount : INR 31 Lakhs Status : Completed


Digital forensic knowledge integration and intelligence (DIREKT-Intel)

Sponsoring Agency : MHRD under SPARC scheme
Period : 2019-2021
Role : Co-Principal Investigator
Sanctioned Amount : INR 65 Lakhs Status : Completed


Personalized Healthcare Recommender System

Sponsoring Agency : TEQIP-III
Period : 2019-2020
Role : Principal Investigator
Sanctioned Amount : INR 1.25 Lakhs Status : Completed


Predicting Brain Disorders using multi-model Neuroimaging Biomarkers

Sponsoring Agency : TEQIP-III
Period : 2019-2020
Role : Principal Investigator
Sanctioned Amount : INR 1.25 Lakhs Status : Completed

PAST RESEARCH GRANTS

Optimization methods and twin support vector machines

Sponsoring Agency : Deanship of Research, Prince Sattam bin Abdulaziz University, Saudi Arabia
Period : 2015-2016


Knowledge data image elicitation

Sponsoring Agency : Rolls-Royce@NTU Corporate Lab, NTU Singapore
Period : 2015-2016


On support vector machine methods for classification and regression problems

Sponsoring Agency : UGC under faculty research promotion schemes (FRPS), Government of India
Period : 2014-2016