Dr at Techno College of Engineering Agartala India
Dr. Sushma P is an accomplished ICMR Senior Research Fellow at JSS Academy of Higher Education & Research, Mysuru, specializing in bioinformatics and drug discovery. With a strong foundation in statistical computing and bioinformatics tools like R, she excels in analyzing complex datasets. Her expertise extends to molecular modeling and dynamics simulations for structure-based drug design. Dr. Sushma P has received accolades including Best Paper and Poster Presentations at prestigious conferences. She holds research grants, including an ICMR-SRF, focusing on Alzheimer’s disease therapeutics. Her ability to communicate technical findings and her dedication to innovative research underscore her contributions to biomedical science.
profile:
Scholar
š Education:
Ph.D. in Life Sciences (Synopsis Submitted) JSS Higher Education and Research, Mysuru, Karnataka, INDIA July 2019 – Present. M.Sc. in Bioinformatics JSS Higher Education and Research, Mysuru, Karnataka, INDIA July 2017 – May 2019 CGPA: 9.33 (Secured 2nd Rank). B.Sc. in Biotechnology JSS Academy of Higher Education and Research, Mysuru, Karnataka, INDIA July 2014 – May 2017 CGPA: 9.04 (Secured 2nd Rank)
š¬ Skills & Expertise:
Proficient in analyzing and interpreting complex data sets using bioinformatics tools. Statistical computing using Excel, SPSS, and R software; familiarity with basic statistical methodologies. Hands-on experience with molecular modeling, molecular dynamics simulations, and structure-based drug design. Freelance work in research, literature review, book chapters, and thesis writing. Basic programming skills in C, Python, and PERL. Strong interpersonal skills for effective communication with technical and non-technical audiences.
š Research Experience:
ICMR-Senior Research Fellowship Indian Council for Medical Research, Delhi, India November 2022 – Present. JSS University Research Fellowship JSS Academy of Higher Education and Research, Mysuru, Karnataka, INDIA February 2021 – January 2022. Karnataka Ph.D. Fellowship Backward Classes Welfare Department, Karnataka State Government July 2019 – January 2021
š Awards & Achievements:
Best Paper Presentation at Annual KVRSS Research Awards (September 2023)., Young Women Scientist at International Conference on MAESASS-2023 (June 2023)., Best Poster Presentation at International Conference on MAESASS-2023 (June 2023)., Best Poster Presentation at IEEE B-HTC 2023 (March 2023).
š Research Grants Awarded:
ICMR-SRF (18.64 Lakhs) for 3 years (from November 2022) Project: Identification of Novel Therapeutic Lead Molecules through Green Chemistry Approach against AĪ² induced mice model of Alzheimerās Disease. JSS AHER Grant (0.25 Lakhs) for 1 year (October 2020 – October 2021) Project: A prospective study of synergistic effect of combination therapy of FDA approved drugs and in silico characterization against Alzheimerās disease.
Publication:š
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- Title: IoT for promoting agriculture 4.0: a review from the perspective of weather monitoring, yield prediction, security of WSN protocols, and hardware cost analysis
Authors: P Majumdar, S Mitra, D Bhattacharya
Journal: Journal of Biosystems Engineering
Year: 2021
Volume: 46
Issue: 4
Pages: 440-461
Citations: 21
- Title: Application of green IoT in agriculture 4.0 and beyond: Requirements, challenges and research trends in the era of 5G, LPWANs and Internet of UAV Things
Authors: P Majumdar, D Bhattacharya, S Mitra, B Bhushan
Journal: Wireless Personal Communications
Year: 2023
Volume: 131
Issue: 3
Pages: 1767-1816
Citations: 13
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- Title: IoT and machine learningābased approaches for real time environment parameters monitoring in agriculture: an empirical review
Authors: P Majumdar, S Mitra
Book: Agricultural Informatics: Automation Using the IoT and Machine Learning
Year: 2021
Pages: 89-115
Citations: 9
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- Title: Detection of Inflammation from temperature profile using Arthritis knee joint Datasets
Authors: P Majumdar, K Das, N Nath, MK Bhowmik
Conference: 2018 IEEE International Conference on Healthcare Informatics (ICHI)
Year: 2018
Pages: 409-411
Citations: 7
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- Title: Prediction of evapotranspiration and soil moisture in different rice growth stages through improved salp swarm based feature optimization and ensembled machine learning algorithm
Authors: P Majumdar, D Bhattacharya, S Mitra
Journal: Theoretical and Applied Climatology
Year: 2023
Volume: 153
Issue: 1
Pages: 649-673
Citations: 4
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- Title: Demand prediction of rice growth stage-wise irrigation water requirement and fertilizer using Bayesian genetic algorithm and random forest for yield enhancement
Authors: P Majumdar, D Bhattacharya, S Mitra, R Solgi, D Oliva, B Bhusan
Journal: Paddy and Water Environment
Year: 2023
Volume: 21
Issue: 2
Pages: 275-293
Citations: 4
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- Title: Honey badger algorithm using lens opposition based learning and local search algorithm
Authors: P Majumdar, S Mitra, D Bhattacharya
Journal: Evolving Systems
Year: 2024
Volume: 15
Issue: 2
Pages: 335-360
Citations: 2
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- Title: Support Vector Machines for the Classification of Remote Sensing Images: A Review
Authors: P Majumdar, S Dey, S Bardhan, S Mitra
Book: Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0
Year: 2022
Citations: 2