Machine Learning, Data Structures, MATLAB, Python, Algorithms

• Interested in Applications of Machine Learning, apply for an internship
• Interested JRF candidates may apply for PhD

Experience :

Journal Publications:

1. Neha Goyal, Nitin Kumar, &Kapil. (2022). Leaf Bagging: A novel meta-heuristic optimization-based framework for leaf identification.Multimedia Tools Applications. (SCI) Impact Factor: 2.757 ISSN: 1573-7721
2. Priti Maratha &Kapil. (2022). Linear Optimization and Fuzzy based Clustering for WSNs assisted Internet of Things. Multimedia Tools and Applications (Springer). (SCI) Impact Factor: 2.757 ISSN: 1573-7721
3. Priti Maratha &Kapil. (2022). HFLBSC: Heuristic and Fuzzy Based Load Balanced, Scalable Clustering Algorithm for Wireless Sensor Network. Wireless Personal Communications, (Springer)125(1), 281–304. https://doi.org/10.1007/s11277-022-09550-z. (SCI) Impact factor: 1.671 ISSN: 1572-834X
4. Neha Goyal, Kapil& Nitin Kumar. (2022) Clustering-Based Hierarchical Framework for Multiclass Classification of Leaf Images, in IEEE Transactions on Industry Applications, vol. 58, no. 3, pp. 4076-4085, doi: 10.1109/TIA.2022.3153757. (SCI) Impact factor: 3.654 ISSN: 1939-9367
5. Neha Goyal, &Kapil Gupta. (2022). A hierarchical laplacian TWSVM using similarity clustering for leaf classification.Cluster Computing, 25(2), 1541–1560. https://doi.org/10.1007/s10586-022-03534-1, (SCI) Impact factor: 1.809 ISSN: 1573-7543
6. Neha Goyal, Nitin Kumar &Kapil Gupta. (2022). Lower-dimensional intrinsic structural representation of leaf images and plant recognition. Signal, Image and Video Processing. 16(1), pp. 203-210 (SCI) Impact factor: 2.157 ISSN: 1863-1711
7. Priti Maratha &Kapil Gupta (2021). Greedy load balancing energy efficient routing scheme for wireless sensor networks. Recent Advances in Computer Science and Communications, 14 (1), pp. 82-91. (Scopus) Impact factor: ~0.76 ISSN: 2666-2566
8. Neha Goyal, Nitin Kumar, Kapil Gupta. (2020). On solving leaf classification using linear regression. Multimedia Tools and Applications, 80(3), 4533–4551. (SCI) Impact Factor: 2.757 ISSN: 1573-7721
9. Priti Maratha, Kapil Gupta, Pratyay Kuila. (2021). Energy Balanced, Delay Aware Multi-Path Routing using Particle Swarm Optimization in Wireless Sensor Networks. International Journal of Sensor Networks. Inderscience Publishers Ltd. 35(1), 10. (SCI) Impact factor: 1.302 ISSN: 1748-1287
10. Priti Maratha, Kapil Gupta & Ashish Kumar Luhach. (2020). Improved fault-tolerant optimal route reconstruction approach for energy consumed areas in wireless sensor networks. IET Wireless Sensor Systems, 10, 3, pp 112-116. (Scopus) Impact factor:~2.62 ISSN: 2043-6394
11. Neha Goyal, Kapil, & Nitin Kumar (2019). Multiclass Twin Support Vector Machine for plant species identification. Multimedia Tools and Applications, 78(19), 27785-27808.(SCI) Impact Factor: 2.757 ISSN: 1573-7721
12. Priti Maratha &Kapil (2019). A comprehensive and systematized review of energy-efficient routing protocols in wireless sensor networks. International Journal of Computers and Applications, 44(1), 83–100. (Scopus). Impact factor:~1.07 ISSN: 1206-212X
13. Priti Maratha, &Kapil. (2018). Analysis of Route Reconstruction Approach for Energy Consumed Areas in Wireless Sensor Networks. Journal of Advanced Research in Dynamical and Control Systems, Institute of Advanced Scientific Research Publishers. 10(14), 1544-1553. Impact factor:~0.31 ISSN: 1943-023X (Scopus)
14. Anubhav Aggarwal, Jasmeet Singh, &Kapil Gupta. (2018) A Review of Different Text Categorization Techniques. International Journal of Engineering & Technology, [S.l.], v. 7, n. 3.8, p. 11-15, july 2018. ISSN 2227-524X. Available at: doi:http://dx.doi.org/10.14419/ijet.v7i3.8.15210. (Scopus)
15. Kashish Chopra, Pinki Moun, &Kapil. (2016). Smart transport recommender system using hybrid approach. International Journal of Computer Science and Mobile Computing, 5, 11, 122-127.(Google Scholar) ISSN: 2320-088X
16. Subramanian Balasundaram, Deepak Gupta &Kapil (2014). 1-Norm extreme learning machine for regression and multiclass classification using Newton method. Neurocomputing, 128, 4-14. (SCI) Impact factor: 5.719 ISSN: 0925-2312
17. Subramanian Balasundaram, Deepak Gupta &Kapil (2014). Lagrangian support vector regression via unconstrained convex minimization. Neural Networks, 51, 67-79. (SCI) Impact factor: 8.05 ISSN: 0893-6080
18. Subramanian Balasundaram &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.(SCI) Impact factor: 5.606 ISSN: 1433-3058
19. Subramanian 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. (Scopus) Impact factor:~0.63 ISSN: 1755-0394
20. Subramanian Balasundaram &Kapil (2011). Application of error minimized extreme learning machine for simultaneous learning of a function and its derivatives. Neurocomputing 74, 16, 2511-2519.(SCI) Impact factor: 5.719 ISSN: 0925-2312
21. Subramanian Balasundaram &Kapil (2011).Finite Newton method for implicit Lagrangian support vector regression. International Journal of Knowledge-Based and Intelligent Engineering Systems, 15(4), 203–214. (SCI) Impact factor:~1.49 ISSN: 1875-8827
22. Subramanian Balasundaram &Kapil (2010). On Lagrangian support vector regression. Expert Systems with Applications 37, 12, 8784-8792. (SCI) Impact factor: 6.954 ISSN: 0957-4174

Conference Publications:

1. Anupam Kumar Thakur, Suraj Singh, Neha Goyal, & Kapil Gupta. (2022). Wheat spike detection using YOLO. International Conference on Artificial Intelligence and Smart Systems (ICAIS 2022). (Scopus)(23-02-2022)
2. Sumedh Patil, Baba Patra, Neha Goyal &Kapil Gupta. (2021). Recognizing Plant species using Digitized leaves- A comparative study. Proceedings of the 5th International Conference on Trends in Electronics and Informatics, ICOEI 2021. 9453003, pp. 1138-1143 (Scopus) (5-6-2021).
3. Anupam K Thakur, Suraj Singh, Neha Goyal &Kapil Gupta. (2021). A comparative analysis on the existing techniques of wheat spike detection. 2021 2nd International Conference for Emerging Technology, INCET 2021. 9456284 (Scopus) (22-5-21).
4. Shivam Kumar, Aryan Agrahri, Sachchidanand K Jha, Kapil Gupta. (2021). Malware classification based on system call sequence. 2021 2nd International Conference for Emerging Technology, INCET 2021. 9456208 (Scopus) (21-5-21)
5. Manoj Moolchandani, Shivangi Dwivedi, Samarth Nigam, &Kapil Gupta (2021). “A survey on: Facial emotion recognition and classification.” Proceedings – 5th International Conference on Computing Methodologies and Communication, ICCMC 2021, 1677-1686. (Scopus) (9-4-21)
6. Tina, Anmol Sharma, Siddarth Tomar &Kapil Gupta. (2021). “Various Approaches of Human Activity Recognition: A Review.” Proceedings – 5th International Conference on Computing Methodologies and Communication, ICCMC 2021, art. no. 9418226, pp. 1668-1676. (Scopus) (10-4-21)
7. Abhay Gupta, Kuldeep Gupta, Kshama Gupta &Kapil Gupta. (2021). “Human activity recognition using pose estimation and machine learning algorithm.” In the proceedings of International Semantic Intelligence 2021,CEUR Workshop Proceedings, 2786, pp. 323-330. (Scopus) (25-2-21)
8. Manpreet Kaur, Shalini Panwar, Ayush Joshi &Kapil Gupta. (2021). “Residential electricity demand prediction using machine learning.” In the proceedings of International Semantic Intelligence 2021,CEUR Workshop Proceedings, 2786, pp. 331-340. (Scopus) (26-2-21)
9. Neha Goyal, Kapil Gupta, Nitin Kumar. (2020) “A Hierarchical Approach for Multi-class Classification of Leaf Images”, 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON) Oct 2-4, 2020. pp. 268-273. (Accepted/Scopus) (3-10-20)
10. Abhay Gupta, Kuldeep Gupta, Kshama Gupta, Kapil Gupta. (2020). A Survey on Human Activity Recognition and Classification. In the proceedings of International Conference on Communication and Signal Processing. ICCSP2020. pp. 915-919 (Scopus) (29-7-2020).
11. Manpreet Kaur, Shalini Panwar, Ayush Joshi, Kapil Gupta. (2020). A Comparative Study of Machine Learning Algorithms in Demand Power Prediction. In the proceedings of International Conference on Communication and Signal Processing. ICCSP2020. Pp 910-914 (Scopus) (28-7-2020).
12. Apoorva Arya, Vishal Shukla, Arvind Negi &Kapil Gupta. (2020) A Review: Sentiment Analysis and Opinion Mining. Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at http://dx.doi.org/10.2139/ssrn.3602548 (WoS) (16-5-2020)
13. Snehil Saxena, Sidharth Jain, Saurabh Tripathi and Kapil Gupta. (2021). Comparative Analysis of Image Segmentation Techniques. 1^stInternational Conference on Advanced Communication and Computational Technology (ICACCT 2019). Lecture Notes in Electrical Engineering. 668, pp. 317-331. (Scopus) (6-12-2019)
14. Bhawna Vohra, Anjali Pathak, Kapil Gupta. (2019) YOLO-an object detection algorithm. An International Journal Of Engineering Sciences September 2019, Volume 32. In the Proceeding of Bhartiya Bhashaon me Tritiya Antarrashtriya Vigyan Sangoshthi (14-9-2019)
15. Anjali Pathak, Bhawna Vohra & Kapil Gupta. (2019). Performance of feature extracted on leaf images by discriminant analysis on various classifiers. Lecture Notes in Electrical Engineering. In the proceedings of First International Conference on Advanced Communication & Computational Technology– 2019pp. 287-304(Scopus) (6-12-2019)
16. Anjali Pathak, Bhawana Vohra, Kapil Gupta. (2019). Supervised learning approach towards class separability- linear discriminant analysis. 2019 International Conference on Intelligent Computing and Control Systems, ICCS 2019.pp 1088-1093.(Scopus) (16-5-2019).
17. Neha Goyal &Kapil Gupta. (2019). A tutorial on Finite Newton Method. An International Journal Of Engineering Sciences September 2019, Volume 32. In the Proceeding of Bhartiya Bhashaon me Tritiya Antarrashtriya Vigyan Sangoshthi (14-9-2019)
18. Anubhav Aggarwal, Jasmeet Singh, &Kapil Gupta. (2019). News classification, a machine learning approach. An International Journal Of Engineering Sciences January 2018, Volume 31. In the Proceeding of Bhartiya Bhashaon me Diwitiya Antarrashtriya Vigyan Sangoshthi (21-12-2018)
19. Tanmay Biswas, Sushil Kumar, Tapaswani Singh, Kapil Gupta, & Deepika Saxena. (2019). A Comparative Analysis of Unequal Clustering-Based Routing Protocol in WSNs. In Soft Computing and Signal Processing (pp. 53-62). Springer, Singapore. (Scopus) (23-6-2018)
20. Neha Goyal, Kapil& Nitin Kumar. (2018). Plant Species Identification using Leaf Image Retrieval: A Study. “International Conference on Computing, Power and Communication Technologies” (GUCON). 405-411 IEEE (Scopus) (28-9-2018)

1. Priti Maratha &Kapil. (2018). A Comparative Study on Prominent Strategies of Cluster Head Selection in Wireless Sensor Networks. 2nd International Conference on Integrated Intelligent Computing, Communication and Security , ICIIC, India, January 24-25, 2018. Springer. ISBN: 978-981-10-8797-4 (SCI)

22. Ruchika Chawla, Akshay Kaura, Prateek Thakral &Kapil. (2017). Modified Centralized Approach for Preventing Collision at Traffic Intersection. In the proceedings of IEEE 4th International Conference on Signal Processing, Computing & Control ( ISPCC 2017) 35-42 JUIT Solan, 21-23 September 2017 (Scopus) (22-9-2017)
23. Kashish Chopra, Pinki Moun &Kapil (2017). “Smart transport recommender system,” 2017 2nd International Conference on Telecommunication and Networks (TEL-NET), 2017, pp. 1-5, doi: 10.1109/TEL-NET.2017.8343564.(Scopus) (10-8-2017)
24. Kapil (2017). Data Analysis in Indian Context and Indian Data or Data of Indians. In Proceeding of National Conference on “Design & Innovation” organized by Dialogue India held at IIT, Delhi http://dialogueindia.in/wp-content/uploads/2017/09/Final-Journal-copy.pdf (pp.38) 24th June 2017, ISBN No. 819070985-2
25. Himanshu Taneja, Kapil& Ashutosh Kumar Singh. (2015). Preserving Privacy of Patients Based on Re-identification Risk. 4^th International Conference on Eco-friendly Computing and Communication Systems.Procedia Computer Science, 70, 448-454. (Scopus) (7-12-2015)
26. Subramanian Balasundaram &Kapil (2010). Application of Lagrangian Twin Support Vector Machines for Classification. InProceedings of the 2010 Second International Conference on Machine Learning and Computing (ICMLC ’10). Banglore, pp. 193-197, IEEE Computer Society. (Scopus) (10-2-2010)

Book Chapter:

1. Priti Maratha & Kapil. (2019). Load Balancing and Fault Tolerance based Routing in Wireless Sensor Networks. International Conference on Innovative Computing and Communication, ICICC, Czech Republica, March 2019.Advances in Intelligent Systems and Computing. Vol 1059

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:

Leaf Identification and Disease Detection
MOOCS for Different Subjects
Digital Watermarking
Encoding message with LSB
Search Engine

Post Graduate Ongoing Projects:

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

Content Sites

Academic Activities
Personal Blog
Digital India Workshops at NIT Kurukshetra
Youtube Channel
JNU Forum for Mutual Learning

Fellowships:

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)