• Post-Doctoral Research Associate in Biomedical Engineering (Artificial Intelligence) at North Eastern Hills University, Shillong, MG, India (A Central University Government of India).
• Ph.D. in Electronics and Communications Engineering
• M.E. Electronics and Communications Engineering
• B.E. Electronics Engineering

Professional Experience

• Post-Doctoral Research Associate in Biomedical Engineering (Artificial Intelligence) at North Eastern Hills University, Shillong, MG, India (A Central University Government of India).
• Worked as Visiting Research Scientist at AtheroPoint, USA.
• Reviewer (Indicative list) for Scientific Reports (Springer), Artificial Intelligence in Medicine (Elsevier), Electronics (MDPI), Cardiology (eCurater), Diagnostics (MDPI), Clinical Medicine (MDPI), Data (MDPI)

Publications

International Journals

• N. N. Khanna, M. A. Maindarkar, V. Viswanathan, J. F. E. Fernandes, S. Paul, M. Bhagawati, P. Ahluwalia, Z. Ruzsa, A. Sharma, and R. Kolluri, "Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment," Healthcare, vol. 10, no. 12, p. 2493, 2022, (Q1, Impact Factor: 3.10).
• N. N. Khanna, M. A. Maindarkar, V. Viswanathan, A. Puvvula, S. Paul, M. Bhagawati, P. Ahluwalia, Z. Ruzsa, A. Sharma, and R. Kolluri, "Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study," Journal of Clinical Medicine, vol. 11, no. 22, p. 6844, 2022, (Q1, Impact Factor: 5.01).
• M. Kuanr, P. Mohapatra, S. Mittal, M. Maindarkar, M. M. Fouda, L. Saba, S. Saxena, and J. S. Suri, "Recommender System for the Efficient Treatment of COVID-19 Using a Convolutional Neural Network Model and Image Similarity," J Diagnostics, vol. 12, no. 11, p. 2700, 2022, (Q1, Impact Factor: 3.99).
• N. N. Khanna, M. Maindarkar, A. Puvvula, S. Paul, M. Bhagawati, P. Ahluwalia, Z. Ruzsa, A. Sharma, S. Munjral, and R. Kolluri, "Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report," Journal of Cardiovascular Development Disease, vol. 9, no. 8, p. 268, 2022, (Q1, Impact Factor: 4.50).
• J. S. Suri, M. A. Maindarkar, S. Paul, P. Ahluwalia, M. Bhagawati, L. Saba, G. Faa, S. Saxena, I. M. Singh, and P. S. Chadha, "Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review," J Diagnostics, vol. 12, no. 7, p. 1543, 2022, (Q1, Impact Factor: 3.99).
• N. N. Khanna, M. Maindarkar, A. Saxena, P. Ahluwalia, S. Paul, S. K. Srivastava, E. Cuadrado-Godia, A. Sharma, T. Omerzu, and L. Saba, "Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction—A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review," J Diagnostics, vol. 12, no. 5, p. 1249, 2022, (Q1, Impact Factor: 3.99).
• S. Munjral, M. Maindarkar, P. Ahluwalia, A. Puvvula, A. Jamthikar, T. Jujaray, N. Suri, S. Paul, R. Pathak, and L. Saba, "Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review," J Diagnostics, vol. 12, no. 5, p. 1234, 2022, (Q1, Impact Factor: 3.99).
• J. S. Suri, S. Paul, M. A. Maindarkar, A. Puvvula, S. Saxena, L. Saba, M. Turk, J. R. Laird, N. N. Khanna, K. Viskovic, I. M. Singh, M. Kalra, P. R. Krishnan, A. Johri, and K. I. Paraskevas, "Cardiovascular/Stroke Risk Stratification in Parkinson's Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review," Metabolite MDPI, vol. 12, no. 4, p. 312, 2022, (Q1, Impact Factor: 5.59).
• S. Paul, M. Maindarkar, S. Saxena, L. Saba, M. Turk, M. Kalra, P. R. Krishnan, and J. S. Suri, "Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson'sDisease: A Narrative Review," Diagnostics, MDPI., vol. 12, no. 1, p. 166, 2022, (Q1, Impact Factor: 3.99).

International Conferences

• M. A. Maindarkar, Dr. Pragya Nema “Different types of substrate material used in rectenna design for RF energy harvesting –A survey”, International Conference on Material and Environment Science (ICMES-2018), Shivaji University, Kolhapur, India, 7th - 8th December 2018.
• M. A. Maindarkar, Dr. Pragya Nema “A Feasibility Study on RF energy rectenna for upcoming Smart Cities in India”, National Conference on Sustainable development of Clean and Green India, Oriental University Indore, India, 26th - 27th October 2018.
• Mahesh A. Maindarkar and Dr. Pragya Nema, “A state of the art RF Energy Harvesting Rectenna for upcoming smart cities in India”, International Conference on Smart Systems (ICSS-2018), School of Engineering, Ajeenkya DY Patil University, Pune, India, 27th - 28th September 2018.
• Mahesh A. Maindarkar, “AI in telecommunications”, International Conference Telecommuniqe-2013, held at Symbiosis International University, Pune. in Apr. 2012.

Patent

• Published Patent on "RF Rectenna for Energy Harvesting at 1.8 GHz to 5.8 GHz to reduce energy crises", Patent ID 202021036496, The Patent Office Journal No. 09/2022, Part 2, Dated 04/03/2022.
• Published Patent on "Machine Learning and Internet of Thing approach for solar plant control system and fault detection with energy prediction", Patent ID 202021036499, The Patent Office Journal No. 09/2022, Part-2, Dated 04/03/2022.