National Institute Of Technology,Kurukshetra



Name : Kapil
Designation : Assistant Professor
Qualification : Ph.D
Current Address :

DB-25, NIT Campus,

NIT Kurukshetra (Haryana) Pin 136118



Phone 1 (office) : 01744-233540
Phone 2 (office) :
Email :

Area Of Intrest :

  • Machine Learning
  • Data Structures
  • Python
  • Algorithms

Experience :

Assistant Professor

NIT Kurukshetra


Dec 2013 – till now

Assistant Professor

BITS Pilani


10 months(08/02/2013-16/12/2013)

Associate System Engineer

IBM India Pvt. Ltd.


2 yrs. (22/08/2005 to 01/10/2007)

Other :

Journal Publications:

  • Taneja, H., Kapil & Singh, A. K. (2015). Preserving Privacy of Patients Based on Re-identification Risk. Procedia Computer Science, 70, 448-454.
  • Balasundaram, S., Gupta, D. & Kapil (2014). 1-Norm extreme learning machine for regression and multiclass classification using Newton method. Neurocomputing, 128, 4-14.
  • Balasundaram, S., Gupta, D. & Kapil (2014). Lagrangian support vector regression via unconstrained convex minimization. Neural Networks, 51, 67-79.
  • Balasundaram, S. & Kapil (2013). On extreme learning machine for ε-insensitive regression in the primal by Newton method. Neural Computing and Applications, 22(3-4), 559-567.
  • S. Balasundaram & Kapil (2011). Weighted fuzzy ridge regression analysis with crisp inputs and triangular fuzzy outputs. International Journal of Advanced Intelligence Paradigms, Inderscience 3, 1, 67-81.
  • S. Balasundaram & Kapil (2011). Application of error minimized extreme learning machine for simultaneous learning of a function and its derivatives. Neurocomputing 74, 16, 2511-2519.
  • S. Balasundaram & Kapil (2011). Finite Newton method for implicit Lagrangian support vector regression. International Journal of Knowledge-Based and Intelligent Engineering Systems.
  • S. Balasundaram & Kapil (2010). On Lagrangian support vector regression. Expert Syst. Appl. 37, 12, 8784-8792.

Conference Publications:

  • S. Balasundaram & Kapil (2010). Application of Lagrangian Twin Support Vector Machines for Classification. In Proceedings of the 2010 Second International Conference on Machine Learning and Computing (ICMLC '10). IEEE Computer Society.

Courses Taught:

  • Even Semester 2017: Dataware-housing and Data-mining
  • Odd Semesetr 2016: Free Open Source Software Lab
  • Even Semester 2016, 2015, 2014: System Software
  • Odd Semester 2015, 2014, 2013: Discrete Mathematics
  • Odd Semester 2014: Computer Graphics
  • Odd Semester 2013: Computer Programming using Matlab
  • Even Semester 2013: Machine Learning,

Keynote Speaker:

  • Basics of Support Vector Machines, Symposium on Machine Learning and its Application at University of Petroleum and Energy studies, Dehradun on 05/11/2016

Resource Person:

As trainer for Ministry of Empowerment and Social Justice

  • GITC-2016 participants for India

For UGC-Human Resource Development Centre, Kurukshetra University

  • E-Learning for Research 01.12.2015
  • E-Learning for Research 17-11- 2015

PhD Students Ongoing:

  • Ms. Neha Goyal since 11-01- 2017 on “Machine Learning and Data Analytics”
  • Ms. Priti Maratha since 08-02- 2016 on “Wireless sensor networks”
  • Ms. Himanshu Taneja since 25-02- 2014 on “Cloud Computing”

Workshops attended:

  • TEW-Linear Algebra, Analysis of Several Variables, Probability Theory at B. K. C. College, Kolkata during 01-06.2.2016

Conferences/Workshops Organised:

  • Article & Thesis Writing with LaTeX (30-31/03/2017)
  • Vittiya Saksharta Abhiyan (VISAKA: 4-5/01/2017)
  • National IT Challenge for Youth with Disabilities  with Ministry of Social Justice & Empowerment, Department of Empowerment of persons with Disabilities, Government of India (19–20/07/2016)
  • Fourth International Conference on Eco-friendly Computing and Communication Systems (ICECCS: 07-08/12/2015)
  • Digital India Week: Competitions and Workshops on web development and Android Applications Development (07-21/08/2015)

Past Activities:

  • Curriculum revised, which is implemented in Computer Application Department, NIT KKR from Academic Year 2016-2017
  • Participated in 31st Shodhyatra for identification of grassroot knowledge and innovation

Post Graduate Project Guided:

Post Graduate Ongoing Projects:

  • Evaluation of Subjective Exams
  • WSN Pegasis
  • WSN Leech
  • Smart Transportation Recommender
  • WSN Traffic Control

Content Sites


  • CSIR SRF fellow April 2011-December 2012.

Extra Curricular

  • Organized Computer Awareness Classes for undergraduate students for basic computer skills
  • Founded JNU Forum for Mutual Learning, a platform to learn from peer group without compulsions such as grades or degrees.
  • Active member of i-Saksham, an educational initiative using technology to inculcate the quality environment of learning in remotest and naxalite area (Jamui & Munger, Bihar)