• 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

Mrs. Megha D Hegde

Computer Science & Engineering

Designation: Assistant Professor
Qualification: B.E, M.Tech
Phone No: 08258- 262724 / 25
Email Id: meghahegde@aiet.org.in
Teaching Experience: 9 Years
Industry Experience: Years

Educational Details

UG
B.E, CSEAIET2013
PG
M.Tech, CSEAIET2015

Experience

  • 1Period (2016-till date)
    Computer Science and Engineering
    AIET, Moodubidri - Assistant Professor

1. COMPUTER SCIENCE AND ENGINEERING
2. COMPUTER NETWORKS
3. CLOUD COMPUTING

1. COMPUTER ORGANIZATION
2. INIX SYSTEM PROGRAMMING
3. MANAGEMENT AND ENTREPRENEURSHIP FOR IT INDUSTRY
4. CLOUD, GRIDS AND CLUSTER
5. PROGRAMMING IN C AND DATA STRUCTURE
6. STORAGE AREA NETWORK
7. DESIGN AND ANALYSIS OF ALGORITHM
8. CRYPTOGRAPHY, NETWORK SECURITY AND CYBER LAWS

1. TECHNICAL SKILLS ON PROGRAMMING
2. COMMUNICATION AND LEADERSHIP QUALITIES

  1. Skinput: Appropriating the Body as an Input Surface, International Journal of Research in

Engineering, Science and Management Volume-2, Issue-5, May-2019 www.ijresm.com | ISSN (Online): 2581-5792

https://www.ijresm.com/Vol.2_2019/Vol2_Iss5_May19/IJRESM_V2_I5_174.pdf

2.  Automatic Toll Collection System using RFID. International Conference on Recent

Trends in Technologies – 2018 (VOLUME 06 – ISSUE 15)

https://www.ijert.org/automatic-toll-collection-system-using-rfid

3. Review Paper on Smart Parking System. IJERT – RTESIT – 2019     

(VOLUME 7 – ISSUE 08)

https://www.ijert.org/Review-Paper-on-Smart-Parking-System

1. Machine Learning
2. Optimization Techniques For Signal Processing And Network Communication
3. Latex And Research Methodologies
4. Firewall Installation, Configuration And Management
5. Design And Analysis Of Algorithm
6. Mobile Application Development Using Android Platform
7. Applications of Python Programming in Data Analytics and Machine Learning