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Rajani Kanta Mahapatra
School of Biotechnology
Faculty Profile

Rajani Kanta Mahapatra

Associate Professor

School of BiotechnologyRegular
Email[email protected]
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About the faculty member

Biography and academic profile

Dr. Mahapatra has more than 12 years of experience in teaching at the postgraduate and undergraduate level. He has completed his PhD in Computer-Aided Drug Design and his area of research is comparative genomics, molecular modeling and chemo-informatics. Besides this he also works on the development of Electronic Medical Records (EMR) and their study using AI-ML concepts.

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Academic profile

Expertise, contributions
and professional engagement.

Only the sections completed and approved for this faculty profile are shown below.

01

Research Interests

AI/ML in Health informatics, Computer-Aided Drug Design

02

Educational Qualifications

M.Sc & PhD in Life Sciences from Sambalpur University

03

Administrative Responsibilities

Faculty in charge KSBT website, Members of examination committee.

04

Course Expertise

Computaional and Theoretical Biology

05

Awards and Achievements

  • SERB International Research Experience (SIRE) fellowship by DST, Govt. of India.
  • Awarded travel grant (DBT/CTEP/02/201100924) from Department of Biotechnology, Government of India to participate in InCOB-2011 at Kuala Lumpur, Malaysia.
  • Best oral presentation award for biological sciences in the national seminar held on the occasion of 22nd, 19th Odisha Bigyan ‘O’ Paribesh Congress (2021 & 2017) and 16th Odisha Bigyan Congress (2013).
06

Projects and Collaborations

R and D Projects (Ongoing)

  • Development of Electronic Medical Record (EMR) registry and machine learning model for prediction of diabetic nephropathy using renal biomarkers and clinical data” sanctioned by ICMR. Amount: Rs. 21.71 lakhs.
  • Development of an Electronic Medical Record (EMR) registry and AI (Artificial Intelligence) model for prediction of mortality in liver cirrhosis using hepatic biomarkers and clinical data” sanctioned by ANRF. Amount: Rs. 20.95 lakhs.
  • A deep learning-based genome mining strategy for identification of biosynthetic/ chemotherapeutic gene clusters in the marine actinobacteria Salinispora and its validation study through data analytic approach” sanctioned by MoES. Amount: Rs. 11.88 lakhs.
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