Mr. Chaitanya A. Patil


NAME : Mr. Chaitanya A. Patil
DESIGNATION : Assistant Professor
QUALIFICATION : M.Tech (Computer Science and Engineering)

  • M.Tech (Computer Science and Engineering), Dr. AIT, Bengaluru, 2012
  • B.E (Information Science and Engineering), BLDEA’s VP Dr. P.G.Halakatti CET, Vijaaypur, Karnataka, 2009.

OVERVIEW OF PROFILE :

Mr. Chaitanya Patil is Assistant Professor in the School of Computer Engineering and Technology, MIT Academy of Engineering. He received B.E in Information Science and Engineering 61.25% in 2009 from BLDEA’s VP Dr. P.G.Halakatti CET, Vijaaypur, Karnataka, 2009 and M.Tech in Computer Science & Engineering in 2012 from Dr. Ambedkar Institute of Technology, Bengaluru.

FORE FRONT AREA OF RESEARCH : Machine Learning and Data Science
EMAIL ID : patil.chaitanya@mitaoe.ac.in
CONTACT NO : 02030253500
EXPERIENCE : Teaching: 4, Industry: 6.5, Research: 0


  • Best Teacher of the Department Award from Computer Engineering Department in Year 2014.
  • Best Teacher of the College Award in Year 2015

RESEARCH PUBLICATIONS :

PUBLICATIONS

A. Journals

  • Research paper titled “Forecasting Stock Price Using CNN and Optimization Technique, international journal of advanced computer science and applications, Volume 13, Issue 11 November 2022 (Scopus, Web of Science indexed).
  • Research paper titled “Forecasting Stock Price Using Modified Firefly Algorithm and Multi-Channel Convolutional Neural Network, International Journal of Engineering Trends and Technology (Scopus Indexed Submitted)
  • Research paper titled “Identification of appropriate Machine Learning Algorithm to predict Wine Quality”, International Journal of Scientific Research in Engineering and Management, Volume: 05, Issue: 05, May – 2021.
  • Research paper titled “Modified Kerberos For IOT By Dynamic Expansion,” International Journal Of Pure & Applied Mathematics ISSN: 1314-3395 Volume 118, No. 24 2018.

B. Book Chapters

  • Analysis of a Machine Learning Algorithm to Predict Wine Quality, Machine Vision for Industry 4.0, CRC Press Taylor & Fransis Group, DOI: 10.1201/9781003122401

C. International Conferences

  • Forecasting Stock Price Using Time Series Analysis and Deep Learning Techniques 4th International Conference on Data, Engineering and Applications 2022 (IDEA-2k22)(Springer)
  • Stock Forecasting Using Multichannel CNN and Firefly Algorithm, International Conference on Cognitive & Intelligent Computing 2022(Springer)