Careers VIT Vellore VIT – AP VIT Bhopal VIT Bangalore

Dr. Venkatraman S

Associate Professor

SCOPE-associateprofessor-grade2

Email: venkatraman.s@vit.ac.in

PhD: National Institute of Technology Puducherry

Research Area: Intrusion Detection Systems, Smart Networks

Employee ID51652
Intercom 
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2019Computer Science & EngineeringNational Institute of Technology Puducherry
M.E2004Software EngineeringAnna University
B.E.2001Computer Science & EngineeringBharathidasan University
  
Research Details
Areas of SpecializationHybrid Intrusion Detection Networks, Smart Networks
ORCID IDhttps://orcid.org/0000-0003-4018-2112
Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=57004474000
H-index (scopus)4
Google Scholar IDhttps://scholar.google.com/citations?user=5NEpy5EAAAAJ
i10 index10
  
Patent Published Details
Patent Published TitlePatent Published Application No.
Label based expert rank for identifying expert users in community question answering system202142025984 A
  
Book / Book Chapter Published Details
TitlePublisherYear
Hybrid Intrusion Detection Systems, ISBN No. 978-93-5396-641-6Amazon2020
Blockchain – Time for Digital Money, ASIN No. B07T9RCJ35Amazon2020
   
Awards & Recognition Details (only national and international awards and recognitions)
Name of the award, awarding agency, year of award
Cleared GATE 2016
Cleared UGC NET 2019
Major International Collaboration Details  – Academic Collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration
Publications:

1.            Venkatraman, S. & B. Surendiran, Adaptive Hybrid Intrusion Detection System for Crowd Sourced Multimedia Internet of Things Systems, Multimedia Tools and Applications (2019), Springer. DOI: 10.1007/s11042 -019-7495-6. SCI Impact Factor 2.101.

2.            Venkatraman, S., B. Surendiran, & Arun Raj Kumar P., Spam E-mail classification for the Internet of Things Environment using Semantic Similarity Approach, The Journal of Supercomputing. Springer. Volume 76, pp 756-776, 2020. DOI: 10.1007/s11227-019-02913-7. SCI Impact Factor 2.157.

3.            Venkatraman Subbarayalu, B Surendiran, P Arun Raj Kumar, Hybrid Network Intrusion Detection System for Smart Environments Based on Internet of Things, The Computer Journal, OUP, Volume 62, Issue 12, December 2019, Pages 1822–1839. SCI Impact Factor 0.98.

4.            Venkatraman, S. & Arun Raj Kumar, P., Improving Adhoc wireless sensor networks security using distributed automaton, Cluster Computing (2018), Springer. Volume 22(6), pp 14551–14557. SCI Impact Factor 1.851.

5.            P. Kuppusamy, S. Venkatraman, C.A. Rishikesha, Y. C. A. Padmanaba Reddy, Deep Learning based Energy Efficient Optimal Timetable Rescheduling Model for Intelligent Metro Transportation Systems, Physical Communication, Volume 42 Issues 5, Page 101131 – 101139 (2020)

6.            R. Saravanakumar, N. Krishnaraj, S. Venkatraman, B. Sivakumar, S. Prasanna, K. Shankar, Hierarchical symbolic analysis and particle swarm optimization based fault diagnosis model for rotating machineries with deep neural networks, Measurement, Volume 171, 2021.

7.            Venkatraman, S., Muthusamy, P., Balusa, B. et al. Time dependent anomaly detection system for smart environment using probabilistic timed automaton. J Ambient Intell Human Comput (2021).

8.            D. Venugopal, T. Jayasankar, N. Krishnaraj, S. Venkatraman, N. B. Prakash and G. R. Hemalakshmi, Multifactorial Disease Detection Using Regressive Multi-Array Deep Neural Classifier,Intelligent Automation &Soft Computing(2021), Vol.28, no.1,2021,pp.27-38.

9.            M Padmaa, T Jayasankar, S Venkatraman, Ashit Kumar Dutta, Deepak Gupta, Shahab Shamshirband, Joel JPC Rodrigues, Oppositional chaos game optimization-based clustering with trust-based data transmission protocol for intelligent IoT edge systems, Journal of Parallel and Distributed Computing,Vol.164, pp 142-151.

10.          D Palanikkumar, Kamal Upreti, S Venkatraman, J Roselin Suganthi, Sridharan Kannan, S Srinivasan, Fuzzy Logic for Underground Mining Method Selection, Intelligent Automation and Soft Computing, Vol. 32, pp. 1843 – 1854.

11.          Venkatraman.S, Arun Raj Kumar P., & Geerthik S., Implementation Of cost Effective Remote Controlled Artificial Driverless Automobile. ARPN Journal of Engineering and Applied Sciences. ISSN 1819-6608 VOL. 11, NO. 21, NOV 2016: 12397-12404 (SCOPUS Indexed).

12.          Geerthik.S, Dr.K.Rajiv Gandhi, and Venkatraman.S(2015). “Progress in QA Systems: A Classification Approach” been published in International Journal of Applied Engineering Research, Vol.10 No.59, PP 482 – 485.

13.          Venkatraman.S, Geerthik.S, and Dr.K.Rajiv Gandhi (2015). “A Novel Approach for Efficient Data Integration and Transformation in Big Data Analytics using Distributed Parallel Automata” been published in International Journal of Applied Engineering Research, Vol. 10 No.87, pp 274 – 277.

14.          D. Srinath, V. Subedha and S. Venkatraman (2015), “ACO Based Mobile Agent for Secured Key Management in MANET” been published in ARPN Journal of Engineering and Applied Sciences, VOL. 10, NO. 11, pp 4877 -4881.

15.          S. Venkatraman, D. Kamalakannan, S. Raja and V. Vijayaraja (2015). “Sifting Undesirable Substance in Online Interpersonal Organization in Light Of Mlsoft Classifier”, been published in ARPN Journal of Engineering and Applied Sciences, VOL. 10, NO 21, pp 9962 – 9967.

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