Faculty Profile
Home | PROF. (DR.) MAKARAND MADHUKAR UPKARE

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PROF. (DR.) MAKARAND MADHUKAR UPKARE

Designation:

Professor

Department:

Chemical Engineering

Email :

makarand.upkare@vit.edu

Phone :

9881720314

Educational Qualification :

University Degree Year
Savitribai Phule Pune University Phd 2011
Shivaji University ME 2002
Indian Institute of Science ME 2002
Savitribai Phule Pune University BE 1998


Date of Joining : 31/07/2011


Experience : 20 year:11 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 Pune University Affiliated Institutes Assistant Professor 01-Jan-2002 31-Jul-2010 8
2 Vishwakarma Institute of Technology, Pune Associate Professor 01-Aug-2010 - 12

Professional Contribution :

  1. DEAN - Faculty Development


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Problem Solving With Python NITTR, Kolkata (Ministry of Education, Government of India) AICTE sanctioned FDP FDP Participated 05-Nov-2023 09-Nov-2023

International Journal:

  1. Hydrogen Storage in Defect Induced Pillared Graphene: A Computational Study ,Journal of Physics : IOP conference series,123
  2. A Study on Implementation of Multivariate LSTM in Estimation of Gross Calorific Value of Coals ,Journal of Pharmaceutical Research International,123
  3. Comparative Analysis of Cryptocurrency Price Prediction using LSTM and SVM ,ESTUDIOS DE ECONOMÍA APLICADA (Studies of Applied Economics),123
  4. Comparative study of SVM, ISTM & LR for stock market prediction using OHLC data Mathematical modelling of drug distribution for oral and intravenous routes administration ,Journal of Pharmaceutical Research International,123
  5. Deep Learning Framework for detecting Covid-19 using Chest X-rays ,ICEI-2022 2nd International conference on Emerging trends and Innovations in ICT (ICEI),123
  6. Modern predictive modelling of energy consumption and nitrogen content in wastewater management ,International conference on Emerging trends and Innovations in ICT (ICEI),123
  7. Comparative study of SVM, ISTM & LR for stock market prediction using OHLC data ,ESTUDIOS DE ECONOMÍA APLICADA (Studies of Applied Economics),123

National Conference:

  1. Dynamic Modeling of Hydro?Formylation of 1?Decene on Rh/C Catalyst in Bubble Column Slurry Reactor ,Publisher Logo Conference Proceedings,110

International Conference:

  1. Comparison and Selection of Reactor for Synthesis of Methanol Over Cu/ZnO/Al2O3 Catalyst , 7th International Conference on “Computing, Communication, Control and Automation”, ICCUBEA-2023,123
  2. Mathematical Formulation Handmade paper from Bagasse and Coconut husk ,7th International Conference on “Computing, Communication, Control and Automation”, ICCUBEA-2023,123
  3. Transfer Learning-based Cotton Plant Disease Detection using Resnet152V2 and Dense Neural Network Layers with Image Augmentation and Fine-tuning Techniques ,7th International Conference on “Computing, Communication, Control and Automation”, ICCUBEA-2023,123
  4. Air Quality Prediction using Machine Learning ,7th International Conference on “Computing, Communication, Control and Automation”, ICCUBEA-2023,123
  5. Hyperparameter Optimisation of CNN by Utilising a Particle Swarm Approach for Malarial Cell Images ,Journal of Pharmaceutical Research International,123




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