Our Team

Meet the dedicated researchers and students pushing the boundaries of AI and machine learning at the Fifth Paradigm Lab

Head

Prof. G. Narahari Sastry

Prof. G. Narahari Sastry FNA, FNASc, FASc, FRSC

Professor (HAG scale), Dean SRC, IIT Hyderabad

Department of Biotechnology
Indian Institute of Technology (IIT), Hyderabad, India

    Former Director: CSIR-NEIST, Jorhat, Assam, India
    Former Professor: Academy of Scientific and Innovative Research (AcSIR)
    Former Adjunct Professor: Department of Biotechnology, IIT Hyderabad
    Former Adjunct Professor: Department of Computational Biology, IIIT Delhi
    Former Adjunct Professor: NIPER, Kolkata, India

Dr. G. Narahari Sastry is a Professor in the Department of Biotechnology, IIT Hyderabad. His research interests are working in the interdisciplinary areas of chemistry, biology, material science, software development and artificial intelligence. In the last decade, GNS group was involved in developing an indigenous software which aims to strengthen the computational drug discovery called Molecular Property Diagnostic Suite (MPDS), and thereby working towards Aatma Nirbhar Bharat. Dr. Sastry has also made fundamental contributions in the field of non-covalent interaction, Bucky bowl chemistry, aromaticity, pericyclic reaction. He has made a great contribution in open-source software development in the field of Computer Aided Drug Discovery, databases, web servers, all the resources developed by his group are freely accessible to the scientific community. He has published more than 340 research articles in reputed journals with an active average impact factor. Most of his papers are well cited with the citation score nearly 15,300+ an h-index of 59, and an i10-index of 267, as per the google scholar. Dr. Sastry and his group have mainly contributed and maintained various web-based platforms and databases like a) MPDS (for several diseases), b) CAD, c) A2ID, d) PLID e) NEI-MPDB, f) OSADHI

Species Named After Prof. G. Narahari Sastry

The species, named “Begonia narahari”, honours Prof. Garikapati Narahari Sastry, former Director of CSIR-NEIST Jorhat, for his remarkable efforts in establishing the Germplasm Conservation Centre for the bio-resources of Northeast India and for his dedication to the welfare of the region.

Reference

AWARDS

RECOGNITIONS

EVENTS ORGANIZED

INVITED TALKS

Academic Journey & Areas of Research

University of Hyderabad

Ph.D.

  • Quantum Chemistry
  • Electronic Structure Calculations
1994

Switzerland

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  • Theoretical & Physical Organic Chemistry
  • Molecular Modelling
1996–1997

CSIR-IICT, Hyderabad

Chief Scientist

  • Non-covalent interactions
  • Materials Modelling
  • Bioinformatics
  • Computer-Aided Drug Design
2002–2019

IIT Hyderabad

Senior Professor

  • Artificial Intelligence & ML
  • Molecular Modelling
  • Bioinformatics
  • Computer-Aided Drug Design
2024–Till Date

Israel

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  • Valence Bond Modeling
  • Electron Transfer Reactions
1994–1996

Pondicherry University

Assistant Professor

  • Theoretical & Physical Organic Chemistry
  • Molecular Modelling
1997–2002

CSIR-NEIST, Jorhat

Director

  • AI-ML applications
  • Molecular Modelling
  • Bioinformatics
2019–2024

PhD Students

Ananya

Ananya

After her master's, she worked as a Project Associate-I at NIAB, Hyderabad. She cleared JGEEBILS 2022, GATE 2023, and CSIR-JRF Dec 2023. Now, as a Ph.D. scholar funded under CSIR JRF, Ananya is engaged in "Deciphering aging signature and drug repurposing in geroprotection using bioinformatics and machine learning approaches."

Education

  • M.Sc. in Bioinformatics, Central University of South Bihar
  • B.Sc. in Zoology, BRABU, Bihar

Research Focus

Aging Signature Drug Repurposing Geroprotection Machine Learning Bioinformatics
Milind Bose

Milind Bose

He has qualified CSIR-UGC NET (2023) and JGEEBILS (2024). Beyond academics, he is an avid reader and has a keen interest in sketching, finding inspiration and creativity in his free time.

Education

  • M.Sc. in Botany, Visva Bharati University
  • B.Sc. in Botany A P C Roy Government College of Science, Siliguri

Research Focus

Cellular Heterogeneity Precision Oncology Generative Models Single-Cell Omics Spatial Omics Machine Learning
Chalsi B P

Chalsi B P

She has qualified CSIR-UGC NET JRF, ICAR, GATE, and KSET. Her research focuses on the application of Generative AI models to predict DNA methylation patterns and epigenetic signatures associated with mental health disorders.

Education

  • M.Sc. in Microbiology, Mangalore University
  • B.Sc. in MCZ (Microbiology, Chemistry, Zoology) Field Marshal K M Cariappa College, Karnataka

Research Focus

Epigenetics Mental Health Precision Psychiatry Machine Learning
Sanskriti Singh

Sanskriti Singh

She has gained hands-on industrial training, including proficiency in microbiological, molecular biology, and biochemical techniques at Helix Biogenesis, Noida. Additionally, she completed specialized industrial training at Dugdh Utpadak Sahakari Sangh Ltd. (PARAG), Varanasi, acquiring practical expertise in bioprocessing. Her academic accomplishments include qualifying several national-level examinations, such as GATE-BT (2022, 2023, and 2024), GATE-XL (2023), and CSIR-NET-JRF (2024, AIR-142).

Education

  • B.Tech in Biotechnology, Dr. A. P. J. Abdul Kalam Technical University, Lucknow

Research Focus

Neuropsychiatric Disorder Predictive Modeling MRI Image Processing Multi Modal Learning
Vishnu Kumar Pandey

Vishnu Kumar Pandey

He is a seasoned Data Scientist and AI specialist with over a decade of experience in machine learning, generative AI, and data analytics.
Currently serving as Vice President – Data Science & AI at Knight Frank India. His work bridges applied machine learning with domain-specific challenges in healthcare, finance and bioinformatics.

Education

  • M.Tech, IIT Bombay

Research Focus

Chatbot Mental Health Software Development Signal Processing
Abhijith Paul T.

Abhijith Paul T.

He gained professional experience as a Quality Control Executive at Megasys Biotek Pvt. Ltd. during the period 2022 to 2024. Abhijith further strengthen his credentials by qualifying GATE (Chemistry) in 2023. Now, as a Ph.D. scholar funded under the DIRECT MoE scheme.

Education

  • M.Sc. in Chemistry, National Institute of Technology (NIT), Calicut
  • B.Sc. in Chemistry, Maharaja’s College, Ernakulam (Government Autonomous)

Research Focus

Neurotransmitter CNS Disorders Drug Discovery Cheminformatics Machine Learning
Aman Parashar

Aman Parashar

He secured the CSIR-JRF fellowship in June 2024.His research focuses on the intersection of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) with a strong emphasis on core computer science applications such as deep learning architectures, generative modeling, and large-scale data processing.

Education

  • M.Sc. in Biotechnology, Jaypee University of Information Technology
  • B.Sc. in Bioinformatics, Govt. Holkar Science College, Indore

Research Focus

Artifical Intelligence Drug Discovery Deep Learning

M.Tech Students

pratiksha kala

Pratiksha Kala

She is currently pursuing her M.Tech in Medical Biotechnology at the Indian Institute of Technology Hyderabad.She has qualified GATE in both Biotechnology (BT) with an All India Rank of 193 and in Life Sciences (XL) as well.

Education

  • B.Tech in Biotechnology, Uttarakhand Technical University, Dehradun

Research Focus

Secondary Metabolites Machine Learning Molecular Distribution Models
kalyani gajbhiye

Kalyani Gajbhiye

She is an M.Tech student in Medical Biotechnology at IIT Hyderabad. She qualified the GATE-BT examination in 2024, GPAT and NIPER-JEE. Her academic interests lie at the intersection of biotechnology and advanced computational technologies, aiming to enhance drug safety and healthcare outcomes.

Education

  • B.Pharm, Sant Gadge Baba Amravati University, Maharashtra

Research Focus

Pharmacovigilance Adverse Drug Reaction (ADR) Ayurvedic Medicine Natural Language Processing (NLP)