Marquee Tag

Mr. Gulab Sah

Assistant Professor
gulab.s@bvrit.ac.in

Ph.D.: National Institute of Technology Arunachal Pradesh, Thesis submitted

M.Tech: CSE, National Institute of Technology Arunachal Pradesh, 2019

B.E: CSE, Visvesvaraya Technological University Belagavi, 2016

DIPLOMA: CSE, Rajiv Gandhi Government Polytechnic, 2013

Teaching Experience: 20 days

As Research Scholar cum Teaching Assistant:  3  years 8 months

Research Experience:  4 years 8 months

Contact Number: 7640986657

BVRITN Employee ID: BVRIT01120

JNTUH Registration ID: 8427-230412-224516

AICTE Registration ID:

  1. Network security: IDS.
  2. Machine learning.
  3. Predictive analytics.
  4. Data mining and data science.
  1. Ph. D. thesis title: A Study and the Implementation of Machine Learning Algorithms with Feature Reduction Mechanism for Intrusion Detection System.
  2. M. Tech. thesis title: Predicting the Popularity of Upcoming Product on E-commerce Platforms.
  1. Student member in IEEE (2018)
  2. IEEE Young Professionals & IEEE Membership (student) (2020)
  1. Qualified in Gate Exam 2017
  2. Qualified in AP JEE Exam.
  1. Gulab Sah, Sweety Singh and Subhasish Banerjee. “Intrusion Detection System Using Classification Algorithms with Feature Selection Mechanism over Real-time Data Traffic.”, China Communications, IEEE ComSoc, (SCI, Q1, impact factor= 3.17, Accepted)
  2. Gulab Sah, Subhasish Banerjee, and Sweety Singh. “Intrusion detection system over real-time data traffic using machine learning methods with feature selection approaches.” International Journal of Information Security (2022): 1-27. (SCI, Q2, impact factor = 2.427).
  3. Gulab Sah, Subhasish Banerjee, and Manash Pratim Dutta. “Ensemble learning algorithms with feature reduction mechanism for intrusion detection system.” International Journal of Information and Computer Security 19, no. 1-2 (2022): 88-117. (Scopus, Q3).
  4. Gulab Sah, Rajat Subhra Goswami, and Sunit Kumar Nandi. “Machine learning methods for predicting the popularity of forth coming objects.” Int. J. Innovative Technol. Exploring Eng. (IJITEE) 9 (2019): 645. (Scopus)
  1. Gulab Sah, and Subhasish Banerjee. “Feature reduction and classifications techniques for intrusion detection system.” In 2020 International Conference on Communication and Signal Processing (ICCSP), pp. 1543-1547. IEEE, 2020.
  2. Gulab Sah, and Subhasish Banerjee. “An Intrusion Detection Approach Based on Decision Tree-Principal Component Analysis Over CICIDS2017.” In Pattern Recognition and Data Analysis with Applications, pp. 559-567. Springer, Singapore, 2022.
  1. Research fellowship: Research and Development Cell, NIT Arunachal Pradesh (2022)
  2. Institute fellowship: MoE, Govt. of India (2021)
  3. Research assistantship: TEQIP-III, Govt. of India (2019)
  4. GATE Scholarship:  AICTE, MHRD under Govt. of India (2017-2019)

S.No

Course

Duration

Month & Year

Grade

1

Introduction to Programming in C

8 weeks

October 2018

Elite

2

Programming, Data Structures and Algorithms using

Python

8 weeks

March 2019

Pass

3

Data Science for Engineers

8 weeks

September 2019

Elite

4

Data Analytics with Python

12 weeks

April 2020

Pass

S.No

Course

Duration

Awarding organization

Month &Year

Grade

1

Computer Hardware and Networking

1 Month

Electronics Service & Training Center, Ministry of MSME, Govt. of India.

July 2012

A+

2

C,C++,OOPS

2 months

Indian Institute of Entrepreneurship, Ministry of MSME, Govt. of India.

November 2012

Pass

3

Diploma in Computer Application

6 months

Microsoftech Computer Institute

March 2012

Credit

  1. Participated in Two week FDP on “Artificial Intelligence, Machine Learning and Internet of Things towards Engineering Applications” organized by North Eastern Regional Institute of Science and Technology (NERIST), organized from 20 -25 February (Online Mode)  and 27 February to 3 March 2023 (Offline Mode) under the AICTE Training & Learning (ATAL) scheme. 
  2. Participated in five days’ workshop on “Recent Trends in Machine learning, Big data and IOT (MLBDI-2017)” sponsored by TEQIP-III from 13-17 November 2017 at NIT Arunachal Pradesh.
  3. Participated in three days’ workshop on “5G Networks” organized by E & ICT Academy, supported by Meit Y, Govt. of India from 22-24 January 2018 at IIT Guwahati.
  4. Participated in five days’ workshop on “Recent Trends in Computing and Computer Networking” sponsored by TEQIP-III from 3-7 September 2018 at NIT Arunachal Pradesh.
  5. Participated in one day workshop on “Optimization Techniques in Engineering Application” sponsored by TEQIP-III from 31st  August 2018  at NIT Arunachal Pradesh.
  6. Participated in five days’ workshop on “Recent Trends in Artificial Intelligence & Machine learning (AIML-2019)” sponsored by AICTE Training and Learning (ATAL) & TEQIP-III I from 23-27 September 2019 at NIT Arunachal Pradesh
  7.  Participated in five days’ workshop on “Cyber Security” sponsored by AICTE Training and Learning (ATAL) & TEQIP-III from 3-7 February, 2020 at NIT AP.
  8. Discovery of ranking frauds for mobile applications” has presented at national conference on Knowledge Discovery in Information Technology & Communication Engineering (KITE-2016).