Suraj Srivastava

Suraj Srivastava
Department Computer Science & Engineering
Designation Assistant Professor (Temporary Faculty)
Qualification Ph.D., M. Tech., B.Tech.
Research Interests Wireless Sensor Networks, Machine Learning, Data Mining, AI
Email surajsrivastava@pec.edu.in ( Official )
surajsriengg@gmail.com ( Personal )
Phone Number

Sr. No. Title
1 Suraj Srivastava, Deepti Gupta and Harsh K Verma, “Comparative Investigations and Performance Evaluation for Multiple-Level Association Rules Mining Algorithm”, International Journal of Computer Applications (IJCA), Vol 4, No 10, Article 7, pp. 40–45, August 2010. doi: 10.5120/860-1208. (ISSN: 0975-8887). (ISBN: 978-93-80746-49-4). Published By Foundation of Computer Science.
2 Suraj Srivastava, Harsh K Verma and Deepti Gupta, “On Performance Evaluation of Mining Algorithm for Multiple-Level Association Rules based on Scale-up Characteristics”, Journal of Advances in Information Technology (JAIT), Vol 2, No 4, pp. 234-238, November 2011. (ISSN: 1798-2340). Published By Academy Publisher.(Scopus Indexed)
3 Suraj Srivastava, Dinesh Grover, “Fuzzy-based Cluster Head Selection for Pegasis Protocol in WSN”, International Journal of Grid and Distributed Computing (IJGDC), Vol. 11, No. 7 (2018), pp.1-10, Accepted (March 13, 2018). (ISSN: 2005-4262 IJGDC). Published By 2018 SERSC Australia. (Scopus Indexed)
4 Suraj Srivastava, Dinesh Grover, “GA GSA-based Energy Efficient Pegasis Protocol for WSN”, International Journal of Future Generation Communication and Networking (IJFGCN), Vol. 11, No. 5 (2018), pp.37-44, Accepted (July 15, 2018) (ISSN: 2233-7857 IJFGCN). Published By 2018 SERSC Australia. (Scopus Indexed)
5 Suraj Srivastava, Dinesh Grover, “An Optimized Technique for Chain Head Selection in Pegasis Protocol for WSN”, International Journal of Computer Sciences and Engineering (IJCSE), Vol.-6, Issue-12, Dec. 2018, pp.109-112 (E-ISSN: 2347- 2693) Published: 31/Dec/2018.
Sr. No. Recent Books
1 Dr. SURAJ SRIVASTAVA Dr. MOHANRAJ GOPAL Dr. SWAGATIKA DEVI Dr. DHARAMVIR “ Machine Learning Techniques “ ISBN: 9789366741727, 2024.