• 08258-262724
  • principalaiet08@gmail.com
  • CET CODE-169

Alva's Institute of Engineering & Technology

A Unit of Alva's Education Foundation(R), Moodubidire

(Affilliated to VTU, Belgaum, Approved by AICTE, New Delhi, Recognized by Govt. of Karnataka)

AIET Faculty

Dr.Roshan Shetty

Electronics & Communication Engineering

Designation: Assistant Professor
Qualification: BE, Mtech Ph.D
Phone No: 08258- 262724 / 25
Email Id: roshan564956@gmail.com
Teaching Experience: 13 Years
Industry Experience: Years

Educational Details

UG
BE(ECE)MIT Kundapura2008
PG
CAIDNIE, Mysore2011
Ph.D
PursuingREVA University,Bangaluru

Experience

  • 1Period (2011-2012)
    BE(ECE)
    MIT Kundapura - Assistant Professor
  • 2Period (2012-2021)
    BE(ECE)
    AIET Moodbidri - Assistant Professor

Artificial Intelligence, Electromagnetics, Embedded Systems

Field Theory, Artificial Intelligence, C-Programming, Analog & Digital Electronics, OOPs with C++, Embedded Systems, Python Programming

C,C++,8086,8051, Pytorch

  1. Publications

Sl.No

Title of Publication

1

Published research review paper “Deep Learning Methods on Chest X-Ray Radiography for Detection and Classification of Thoracic Diseases: A Survey” in 3rd International Conference on “Advances in Computing & Information Technology (IACIT-2021) “ held on 17 – 18th May, 2021 at REVA University Bengaluru. (Scopus)

2

Published research paper titled ”Self-Sequential Attention layer based DenseNet for detection of Thoracic diseases” in “The International Journal of Intelligent Engineering and Systems” Volume 14, Issue 4, 2021. Scopus (Q2).

3

Research paper titled ” Adaptive Data Augmentation Training Based Attention Regularized Densenet for Diagnosis Of Thoracic Diseases” in “Indian Journal of Computer Science and Engineering (IJCSE)” Vol. 12, No. 4, Jul-Aug 2021. Scopus (Q4).

4

Published research paper titled” A Novel Approach for Recognition of Thoracic Pathologies in Chest X-Ray Radiography Using Deep Model in “International Journal of Special Education (IJSE)”. Scopus/WoS (Q3).

5

Published Springer book chapter “A Review Of AI Based Diagnosis Of Multiple Thoracic Diseases On Chest Radiography”,  for the publication in “Lecture Notes in Computer Science (LNCS)”, for a Book titled “Sustainable Computing: Transforming Industry 4.0 to Society 5.0” (SCTIS) Jan. 2023, indexed in Scopus.

6

Published research paper titled An Intermediate learning based Attention regulated DenseNet for Diagnosis of Covid-19 Disease” to “ Indian Journal of Science & Technology” 16(6): 427-434 , Feb 2023, indexed in WoS

 

Workshop Attended

Sl.No

Name of Conference/FDP/Workshop

Year/Month

Number of Days

1.

AICTE – VTUAn Overview of Teaching Techniques in Innovation & Design Thinking

6th to 10th December 2021

5

2.

NIT Warangal & REVA University “AI/ML for Computer Vision and Medical Image analysis Applications”

18 to 27 April, 2022

8

3.

MOE Innovation Cell & AICTE “Innovation Ambassador IA Training Foundation level

31.7.2022

15 hours

4

MOE Innovation Cell & AICTE “Innovation Ambassador IA Training Advanced level”

16.10.2022

15 hours

IP Awareness/Training program under National IP Awareness Mission

27.6.2022

1

5

Machine Learning and IOT applications in VLSI Design” By SEA College of Engineering And Technology Bangalore-49

10th to 14th May 2022.

5

6

Workshop on “Development of IP Ecosystem at Academics” By KSCST & AIET

14th and 15th March 2023

2

10