office@xavier.ac.in +91 7249371505 / 9920407274

Electronics and Telecommunication Faculty

frfabiansj@xavier.ac.in
+919833916407

Fr. Fabian Barreto SJ

Assistant Professor

Academic Background

  • Master of Engineering, Electronics Engineering, 2009, Fr. Conceiçao Rodrigues College of Engineering, Bandra, Mumbai
  • Bachelor of Engineering, Electronics and Telecommunication, 1990, Government Engineering College, Farmagudi Goa
  • Certificate Program  in Human Resources Development (100 hours), 2010, Don Bosco Institute of Management and Research in collaboration with L. R. Associate

 

Publications
Courses Taught
Continuing Education Programmes
Area of Interest
Research Interest

  • Sarode, Vidya and Chaudhari, Amogh and Barreto, Barreto, Fabian T. R., "A Review of Deep Learning Techniques Used in Breast Cancer Image Classification", Intelligent Computing and Networking, Lecture Notes in Networks and Systems, Vol 146, 177--186, 23 October 2020.

UG Level

  • Digital Communicattions
  • Computer Networks
  • Mobile Comunications
  • Wireless Networks
  • Telcom Network Management
  • Electromagnetic Engineering
  • Basic Electrical and Electronics Engineering
  • Radio Frequency Design

 

 

Workshop / Seminar / STTP Attended

  • Machine Learning and Deep Learning Applications in Engineering & Science organized by Government College of Engineering, Karad, Maharashtra, India from 16th May - 20th May, 2021 Online.
  • Deep Learning Techniques for Image, Audio, Video Processing organized by Department of Electronics Engineering KJSIEIT, Sion, Mumbai, Maharashtra, India from 21st Jan - 23rd Jan, 2021 Online.
  • Outcome Based Education: A Step Towards Excellence organized by Government College of Engineering, Karad, Maharashtra, India from 11th May - 15th May, 2020 Online.

Workshop / Seminar / STTP Conducted

  • Introduction to LaTeX on 15th Jun - 20th Jun, 2020 organized by Department of Electronics and Telecommunication, XIE.

Machine Learning, Deep Learning, Cellular Networks, Digital Communications, Cognitive Radios, Sensor Networks, Computer Networking, Signal Processing, Biomedical Microelectronics 

 Deep Learning Applications