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Contact Info
Anam Bansal
8437800233
H. No. 745, Near Thana Sadar, Dogar Basti, Street No.11, Faridkot
Anam Bansal
Qualification
  • M.E. in Computer Science & Engg. from UIET, Panjab University, Chandigarh, with 9.7 CGPA. (2016-2018) . 
  • B-Tech in Computer Science & Engg. from DAVIET, Jalandhar with an aggregate of 89.3%. (2012-2016).
Experience
Teaching Experience
Sr. No. Name of Organization Designation Period
1 Central University of Punjab, Bathinda-151001 Assistant Professor 2.  28 January, 2019- continue
2 Lovely Professional University, Jalandhar Assistant Professor 12 July, 2018-17 Nov, 2018
 

 

 

 

Research Area

 

Artificial Intelligence, Neural Networks, Deep Learning, Acoustics

Publications
Papers

Sr.

No.

Authors, Title, Journal, Vol., Issue, Pages, Month Year

.DOI

 

Role

Type Of Publication

Publication Year

Detail Of Publication

1.
. Bansal, A., Garg, N.(2022), Environmental Sound Classification: A descriptive review of the literature. Intelligent Systems with Applications.
First Author  
International
2022 Scopus

 

 

 

 

 

1

Bansal A. (2020), Churn Prediction Techniques in Telecom Industry for Customer Retention: A Survey. Journal Of Engineering Sciences, Vol 11, Issue 4

 

 

 

 

 

First Author

 

 

 

 

 

International

 

 

 

 

 

2020

 

 

 

 

 

Scopus

 

 

 

 

2

Bansal,A. ,Aggarwal,N., Vij,D.,Sharma,A.(2019) , An off the shelf CNN features based approach for Vehicle Classificaton using Acoustics.

Lecture Notes in Computational vision and Biomechanics, 30,1163-1170.

 

 

 

First Author

 

 

 

 

International

 

 

 

 

2019

 

 

 

 

Scopus

 

 

 

3

Bansal A. (2019). Review of Convolutional Neural Network for Sound Classification.

International Journal of Technical Innovation In Modern Engineering & Science, 5, 982-

985

 

 

First Author

 

 

 

International

 

 

 

2019

 

 

 

Peer-reviewed

4

Bansal A. (2019). Support Vector Machine And Sounds.

First Author

International

2019

Peer-reviewed

5.

Bansal,A.(2018). Recent Breakthroughs andAdvances in Deep Learning.

 

International Journal Of Computer Science Trends And Technoloy, 6,94-98.

 

First Author International 2018 Peer-reviewed
6          
Papers Presented in National/International Conferences  :

Sr.

No.

Authors, Title, Conference, Vol., Issue, Pages, Month Year .DOI

Role

Type Of Publication

Publication Year

Place

 

 

 

1

Bansal,A. ,Aggarwal,N., Vij,D.,Sharma,A.(2019) , An off the shelf CNN features based approach for Vehicle Classificaton using Acoustics. Lecture Notes in Computational vision and Biomechanics, 30,1163-1170.

 

 

First Author

 

 

 

International

 

 

 

2018

 

 

Palladum, Tamil Nadu

2.

Bansal, A.,Urban Sound Classification using Adaboost, 5 th International Conference on Innovative Computing and Communication (ICICC-2022)

First author

International

-

Online

Conference/ Workshops/Seminars Attended

Sr.

No.

Title of the Program

Organized by

From date

To Date

1. How to Publish Top Grade Scientific Research Articles R&D Committee, Bhagwan Parshuram Institute of Technology, New Delhi 8 Dec, 2021 8 Dec, 2021
2. How to write a quality research paper for Elsevier University Of Stirling 26 Nov, 2021 26 Nov, 2021
3. Insight in Block Chain Technologies Department of Computer Science in collaboration with National Institute of Electronics & Information Technology, Ropar (NIELIT) 29 July, 2021 29 July, 2021

4.

Book & Article Publishing And SpringerLink Platform Demonstration

Guru Nanak Dev University, Amritsar

29 April,

2020

29 April,

2020

 

5.

4th International Conference on Computing Sciences(ICCS)-“Feynman- 100”

 

Lovely Professional University, Punjab

30-

August, 2018

30-

August, 2018

6.

Developing Machine Learning Skills in Python

UIET, Panjab

University, Chandigarh

5 March,

2018

7 March,

2018

 

7.

Recent Research Trends in Social Media And Network Analysis

UIET, Panjab University, Chandigarh

26

March, 2017

28 March,

2017

 

Professional Training Received/Short-Term Courses  Attended :

Sr.

No.

Nature of Training

Organized by

Training Year

Duration

1.

One Week Online Faculty Development Programme (FDP) on “Machine Learning Fundamentals”

DEPARTMENT OF COMPUTER SCIENCE & IT KATHUA CAMPUS, UNIVERSITY OF JAMMU

23 March, 2022

28 March, 2022

2.

Applied Artificial Intelligence(FDP)

Centre for Development of Advanced Computing and AICTE

29 Nov, 2021

3 December, 2021

3.

Application of Artificial Intelligence in Research and development (FDP)

CSIR -Advanced Materials and Processes Research Institute,Bhopal and AICTE

22 Nov, 20 21

26 Nov, 2021

4.

Five days online Faculty Development Program on PYTHON FOR ENGINEERS

VIMAL JYOTHI ENGINEERING COLLEGE CHEMPERI, KANNUR

26 April, 2021

30 April, 2021

 

5

Faculty Development Program on Data Science

 

IIT Kanpur

15 Feb,

2021- 27

Feb, 2021

 

One Week

 

6

Short term training

Programme on “Artificial Intelligence And Machine Learning with Data Science”

Guru Nanak Dev

Enginnering College, Ludhiana

14 Dec,

2020- 19

Dec, 2020

 

One Week

 

 

7

Two Weeks Faculty Development Programme on "MANAGING ONLINE CLASSES and CO- CREATING MOOCS“

Teaching Learning Centre, Ramanujan College University of Delhi

 

April 20 -

May 06,

2020

 

 

Two Week

 

8

Faculty Development Program on Artificial Intelligence

Central University Of Punjab, Bathinda and AICTE

9 Dec, 2019-

13 Dec, 2019

 

One Week

 

 

Conference/ Workshops/Seminars Organised
University Level

Advanced Session on Patenting Strategies and Patent search exercise for inventions in Computational Sciences (workshop)- 2nd December 2021.