WHAT I DID

MY EXPERIENCE & EDUCATION

  • Mar 2023 - Present
  • Apr 2021 - Mar 2023
  • Aug 2020 - Mar 2021
  • Jan 2016 - Dec 2020
  • 2013 - 2015
  • 2009 - 2013

  • Senior Research Scientist

    Stony Brook Cancer Center, Department of Biomedical Informatics, Stony Brook University

  • Postdoctoral Research Associate

    Stony Brook Cancer Center, Department of Biomedical Informatics, Stony Brook University

  • Research Intern

    Strand Life Sciences, Ground Floor, UAS Alumni Association Building, Bellary Road, Bangalore, India.

  • Ph.D.

    Department of Computer Science and Engineering, Indian Institute of Technology Patna

  • Masters of Engineering

    Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur

  • Bachelor of Engineering

    Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur

WHAT I DO

RESEARCH INTEREST

Protein Function Prediction

Developing deep learning-based multi-modal architecture to predict protein functions by utilizing the protein structure and protein sequence along with protein interaction information which has been converted into a web-based application.

IMPROVING Gene Clustering

Exploited Multi-objective Optimization technique(MOO), Ensemble technique, Generative models, Protein Interaction information for improving gene clustering, which is the primary step to understand the gene characteristics, hub gene prediction, etc.

Computational Model for Multi-omics Data

Developing various deep multi-modal(MM) and multi-task learning(MTL) framework for providing feasible solution for disease gene prognosis, biomedical text mining, and relation extraction from the clinical text.

AI for COVID-19 Solutions

Developing Artificial Intelligence-based models to tackle many aspects of the COVID-19 crisis at different scales including COVID-19 diagnosis from medical imaging, estimate the structure of SARS-CoV-2-related proteins and creating COVID19 Knowledge Graph.

RESEARCH WORKS

MY PUBLICATIONS

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WCCI Tutorial: Multi-modality in Computational Biology

Detailed Discussion on Machine Learning and Deep Learning Frontiers for the Multi-modal aspects of Computational Biology field.

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MultiPred: Protein Function prediction using Protein Structure and Sequence

A user-friendly web-server for Protein Function Prediction. The underlying deep multi-modal architecture utilizes protein sequence, structure and interactions.

Hopefully, One day I will write... 😄😄

ACCOLADES

ACADEMIC RECOGNITIONS

INVITED TALKS

  • Invited to conduct demo/lab session in "Machine Learning and Data Science" workshop, during 16-22 August 2019 at Vinoba Bhave University, Hazaribagh, Jharkhand, 2019
  • Took demo/lab session on the topic of ‘Clustering’ during the workshop on "Unsupervised Data Mining: From Batch to Stream Mining Algorithms" organized by "Global Initiative of Academic Networks (GIAN), an MHRD - Govt. of India program" at IIT Patna.
  • Session Chair of the session "Prediction" in 25th International Conference of Neural Information Processing(ICONIP 2018), Siem Reap, Cambodia, 2018.
  • Invited to conduct demo/lab session in "Training Program on Machine Learning For Ocean Acoustics and Climate Data Analysis", during 22-36 October 2018 at Defence R&D Organization-Naval Physical & Oceanographic Laboratory (DRDO-NPOL), Kochi, Kerala, 2018
  • Invited to conduct demo/lab session in "Faculty Development Program on Machine Learning andApplications", during 26-30 March 2018 at AVB-Indian Institute of Information Technology and Management, Gwalior.
  • Invited as a keynote speaker in "Symposium on Research Trends in Machine Learning", held on 21st December,2017 at University Of Petroleum & Energy Studies (UPES), Dehradun.

AWARDS and Achievements

  • Our proposed tutorial, "Multi-modality for Biomedical Problems: Theory and Applications" is accepted in IEEE World Congress on Computational Intelligence(WCCI 2020), which is the world's largest technical event in the field of computatioonal intelligence.
  • Receipient of Visvesvaraya Travel Grant to attend a international conference IEEE Congress on Evolutionary Computation, Wellington, New Zealand in 2019.
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POSITION OF RESPONSIBILITY

  • Executive member of IEEE Student Branch, IIT Patna from 2016-2019.
  • Organizer of three GIAN (an MHRD, GOI initiative) courses at IIT Patna.
  • Volunteer, #OpenGovDataHack:24Hrs Hackathon,Organized by National Informatics Centre(NIC), Government of India and IAMAI, at IIT Patna from Oct 14-15,2017
  • Teaching Assistant in several courses for B.Tech at IIT Patna, guiding internship candidates from premier Indian institutes on different ML, DL, AI projects along with IIT Patna undergraduate students.