Fellowship: CV Raman Postdoctoral Fellowship for African Countries
Duration: Sep. 18, 2023 -- Present
Qualification: Ph.D. (Ethiopia)
Project Title: Knowledge-based Model of Offshore Software Development Outsourcing Success; Indian Vendors Perspective

Fellowship: Research Associate under NSM Project
Duration: May 26, 2023 -- Present
Qualification: Ph.D. (Thesis submitted), NIT Silchar
Project Title: Diagnosis of Alzheimer's disease using brain imaging data

Fellowship: Research Associate under NSM Project
Duration: January 2022 - July 2022
Qualification: M. Tech. (Computer Science), AMU Aligarh and Ph.D., IIT Indore
Project Title: Diagnosis of Alzheimer's disease using brain imaging data

Fellowship: Research Assistant
Duration: August - December, 2021
Qualification: M.Sc. (Mathematics), IIT Indore.
Project Title: Support vector clustering
Present Position: Ph.D. Scholar at University of Edinburgh, UK.

Fellowship: SRF under CSIR Project
Position & Duration: SRF, June 2018 to June 2019
Qualification: M.Tech. in Communication and Information Systems from AMU Aligarh
Project Title: Biomedical signal processing
Present Position: Ph.D. Scholar at IIT Guwahati.

Fellowship: JRF under SERB-ECRA Project
Position & Duration: JRF, July 2018 to June 2019
Qualification: M. Tech. in Computer Science from AMU Aligarh
Project Title: Non-parallel SVM for classification problems
Present Position: Assistant Professor of CSE, IIT Ropar.

Fellowship: JRF under SERB-ECRA Project
Date of Joining: July 2019 - December 2020
Qualification: M.Tech. in CSE from NIST
Research Area: Computational Intelligence
Present Position: Ph.D. Scholar at IIT Kharagpur.

Fellowship: JRF under SERB-ECRA Project
Duration: Aug. - Dec., 2017
Qualification: M.Tech. (CSE), NIT AP and Ph.D., IIT Indore.
Research Area: Optimization for machine learning
Present Position: Assistant Professor of CSE, BITS Pilani.

Position: Research Assistant under DST Ramanujan Project
Duration: May - December, 2017
Qualification: M.Sc., Mathematics IIT Indore
Research Area: On classification and prediction of Alzheimer's disease using multimodal imaging data