M S Upamanyu
VIDWAN ID: 582789

Mr M S Upamanyu

Male Bachelor of Technology
Research Intern
REVA UNIVERSITY, BANGALORE
Karnataka
Expertise: Multidisciplinary Engineering
5 Publications
1 Projects
15 Scopus Citations
17 CrossRef
2 Years 4 Months Total Experience
Publications
5 Total
Chapters
1
Proceedings
4
Activity

No publication activity to display.

Scopus Scopus
15 Citations
1 h-index
CrossRef CrossRef
17 Citations
2 h-index
Google Scholar Google Scholar

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Professional Recognition

6th Place App@thon winner
2022
TiE University

Community & Membership

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IEEE
Student
Jan 2022

Personal Details

Bachelor of Technology
2025
university
Higher Secondary Certificate (Class 12)
2021
N/A
Research Intern
May 2024 – Present
REVA UNIVERSITY, BANGALORE
Engineering and Technology
Multidisciplinary Engineering

Related Profiles

Scholarly Work

Machine Learning-Integrated Computational Drug Discovery for Novel Multi-Target Drugs Against emerging viral outbreaks
Other
Role: Other
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TITLE OF THE INVENTION: EARLY PREDICTION OF TYPE- II DIABETES MELLITUS IN YOUNG ADULTS

M S Upamanyu
- Application No. : 202441077996 A Filed : 15-10-2024
Published : 25-10-2024 Published

Scholarly Publications

Machine Learning (IQ Tree 2) Integrated Phylogenetic Assessment Studies of Avian Influenza Virus A (H5N1) Considering Polymerase Basic Protein 1 (PB-1) Sequences

Conference Paper
Year: 2024.
Authors: M S Upamanyu; Preetham R S; R B Ravi Varma; I M Umesh; Raje Siddiraju Upendra; R Karthik

Early Prediction of Type- II Diabetes Mellitus in Young Adults using LSTM

Conference Paper
Year: 2024.
Authors: M S Upamanyu; M Chandan; H M Amrutha; K N Veena; R S Upendra; R Karthik

A survey on machine learning inspired healthcare informatics studies of COVID-19 disease

Open Access
Book Chapter
Year: 2025. Pages: 256-260 .
Authors: R.S. Upendra; Sanjay Shrinivas Nagar; M.S. Upamanyu; A.R. Sandhya; R. Karthik

Air Quality Prediction Based on Decision Tree Using Machine Learning

Conference Paper
Year: 2023.
Authors: Soumyalatha Naveen; M.S. Upamanyu; Karun Chakki; Chandan M; P Hariprasad

A survey on Machine Learning Methods used for Classification of Cardiovascular disease using ECG and Image Processing Techniques

Conference Paper
Year: 2024. Pages: 1-6 .
Authors: Upamanyu, M.S.; Chakki, K.; Kulkarni, V.P.; Matthew, A.; Seshikala, G.