Dr Mahesh Maindarkar
Associate Professor
| MIT School for Bioengineering Sciences and Research
MIT Art, Design and Technology University, Pune
Maharashtra
Expertise:
Computer Science Artificial Intelligence
20
Publications
1
Projects
714
Scopus Citations
690
CrossRef
14 Years 4 Months Total Experience
Scopus
714
Citations
13
h-index
CrossRef
690
Citations
13
h-index
Google Scholar
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Professional Recognition
Best Research Collaborater
2016
JSPM ICOER
Community & Membership
APVS
Artificial Intelligence in HealthcareIEEE
FacultyIJFRP
ProfessionalAPVS
ProfessionalPersonal Details
Doctor of Philosophy
2020
Swami Ramkrishan Pramhansh Teachers Training College
Master of Engineering
2013
Indian Institute of Astrophysics
Bachelor of Engineering
2009
Guru Angad Dev Veterinary & Animal Sciences University, Ludhiana
Associate Professor
Aug 2023 – Present
MIT Art, Design and Technology University, Pune
| MIT School for Bioengineering Sciences and Research
Post-Doctoral Research Associate
Jul 2021 – Sep 2022
North eastern Hill University Tura Campu, Tura
Assistant Professor (Senior Grade)
Jul 2011 – Jun 2021
Jaywant Shikshan Prasarak Mandals Imperial College of Engineering and Research, Gat No. 720 (1 and 2), Pune Nagar Road, Wagholi, Pune 412 207.
Engineering and Technology
Scholarly Work
Design and Development of Cost-effective Artificial Intelligence-based web and mobile application for early detection of Parkinson’s disease
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RF Rectenna for Energy Harvesting at 1.8 GHz to 5.8 GHz to reduce energy crises
Mahesh Maindarkar
-
Application No. :
202021036496
Filed :
19-08-2020
Published :
30-09-2022
Published
Machine Learning and Internet of Thing approach for solar plant control system and fault detection with energy prediction
Mahesh Maindarkar
-
Application No. :
202021036499
Filed :
19-08-2020
Published :
30-09-2022
Published
Scholarly Publications
Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review
Open AccessCPW Fed Triangular Shaped upper Strip Patch Monopole Antenna for RF Energy Harvesting
An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review
Open Access
10.31083/j.rcm2512463
Crossref: 10
An Explainable Transformer-Based Machine Learning Framework for Bilirubin-Derived Severity Classification of Hepatitis B: A Cross-Domain Validation Study
Open AccessCardiovascular Disease Classification Using Machine Learning: A Comparative Study with SMOTE Class-Imbalance Correction
Open AccessRecommender System for the Efficient Treatment of COVID-19 Using a Convolutional Neural Network Model and Image Similarity
Open AccessPatch-based U-NET model and MSqueezeNet-PyramidNet for efficient segmentation and classification of tuberculosis, pneumonia, and COVID-19
Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review
Open Access
Showing 1 to 8 of 20 publications