Mr. NISHIDH CHAVDA

Faculty Details

Mr. NISHIDH CHAVDA
  • Designation : Assistant Professor
  • Qualification : B.E. Comp Engg., M.E. Comp Engg.
  • Experience : 6 Years
  • Area Of Interest : Data Mining, Mobile AdHoc Newtork

Educational Qualification

  • M.E. in Computer Engineering with Distinction from Dharmsinh Desai Univeristy, Nadiad.
  • B.E. in Computer Engineering with First class with Distinction from C.C.E.T., Wadhwan.

Work Experience

Currently working as an Assistant Professor at Government Engineering College - Bhavnagar since 29/05/2018

1 Year 6 Month of experience as a Lecturer in R.C.Technical Institute, Ahmedabad

8 Years of  experience as an Assistant Professor in Computer Engineering Department at CHARUSAT, Changa, Gujarat, India


Skills and Knowledge

Tools and Technologies: C, C++, JAVA

Interpersonal Skills: Teaching, Student Counseling


Courses Taught

Following courses are taught (Lecture and Laboratories) at undergraduate, and post-graduate level

Undergraduate

1. Design and Analysis of Algorithm
2. Digital Electronics.
3. Data Structures and Algorithm
4. Computer Networks
5. Microprocessor
6. Database Management System
7. Computer Organization and Architecture

Postgraduate

1. Data Mining and Business Analysis
2. Advanced Computer Networks
3. Machine Learning

Training and Workshop

1. Attended a video conference based STTP on "Recent Trends in Computer and Information Technology" during 02/04/2018 to 12/04/2018.

2. Attended a training on "Digital System Architecture using Verilog HDL" at DA-IICT Gandhinagar during 04/06/2018 to 08/06/2018.

Portfolios

1. Department level co-coordinator for placement activities.
2. Video conferencing co-ordinator.

Publications

1. Nishidh Chavda, Bimal Patel(2013); Issues and Imperatives of Adhoc Networks, International Journals of Computer Application, Volume 62, Issues 13

2. Bimal Patel, Nishidh Chavda, Vishal Rathod; Perfornance Comparison of normal and abnormal AODV under random traffic and node movement.

3. Rikita Choksi, Dippal Israni, Nishidh Chavda(2016); An efficient deconvolution technique by identification and estimation of blur; Conference: 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)