Dr. K.G.S. VENKATESAN

img

Dr. K.G.S. Venkatesan
Associate Professor

Dr. K.G.S. VENKATESAN has completed B.Tech from Jawaharlal Nehru Technological University, Hyderabad , AP, M.Tech from Bharath University, Chennai and Ph.D from Annamalai University, Chidambaram. Currently he is working as a Professor in the Department of CSE at Dr. KVSR Institute of Technology, Kurnool, A.P. He has more than 15 years of teaching experience.

Dr. K.G.S. Venkatesan

Qualification


Qualification

Institution

Year

B.Tech
(CSE)

 Jawaharlal Nehru Technological University, Hyderabad , AP

2004

M.Tech
(CSE)

Bharath University, Chennai

2007

Ph.D

Annamalai University, Chidambaram

2011



Experience


Designation

Institution

From

To

Professor

Dr. K. V. Subba Reddy Institute of Technology

2018

Till Date

Awards / Achievement

MINING LIFE STYLE DISEASES BY SOCIAL NETWORKS FOR MEDICAL DIAGNOSIS

Responsibilities

    • Acts as Organizer for various Events & functions.

Expertise / list of subjects handled

Operating Systems

 Advanced Computer Architecture, Computer Organization and    Architecture

 Computer Networks, Network Design Security and Management, High Performance    Networks

Database Management Systems, Advanced Database

Data Structures & Algorithms, Design and Analysis of Algorithm.

Object Oriented Programming

System Software, Software Engineering

UNIX Shell Programming  

COBOL

C          

C++         

C#      

  Java         

Dot Net.

Research Interest

  1.  Computer Networks
  2.  Network Security
 

Conferences:-
1. National A Multi Resolution volume rendering Framework for large scale time varying Data visualization using Neural Network Bharath University,Chennai
2. National Fast Algorithm to generate Association Rules using encoded Database Bharath University,Chennai
3. National Web-Based smart house Automation using CAN Protocol Dr. N.G.P.Institute of Tech, Coimbatore – 48
4. National Carving & Replaying differential unit Test cases from system Test cases Bharath University,Chennai
5. National Monitoring connectivity in Wireless Sensor Network Bharath University,Chennai.
6. National Inclusion of Flow Management for Automatic & Dynamic route discovery System byARSGuruNanakInstitutions,Hyderabad(A.P)

7. Inter National ( IEEE&CSI ) Time Synchronization & Calibration in wireless Sensor Network S.A.EngineeringCollege,Chennai77

8. Inter National ICCSP - 2012 A User concept model for personalized Information gathering & Retrieval. QIS College of Engineering & Technology, Ongole – 523 272.

9. National ACSIT - 13 A 2 Hop Acknowledgment Scheme for the detection of Routing MisbehaviourinMANET’sVELSUniversity,Chennai
10. Inter National ICECC -2014 Micro Array prediction for Dataset of Cancer Instances Tagore EngineeringCollege,Chennai

 

Journals:-


1. SNS in E-Commerce using data mining analysis, International Journal of Pharmacy andTechnology,Vol1,Issue1,pp.33–40,December-2009.

2. Current web mining technologies for E- Commerce,International Journal of Pharmacy and Technology, Vol 2,Issue 2, pp. 440 – 448, June -2010.

3. Inclusion of flow management for Automatic & Dynamic route discovery system by ARS,Vol.2,Issue12,pp.1–9,December–2012.

4. Enhancement of Social Network Security by Third party Application, Vol. 3, Issue 3, pp. 230 – 237,March – 2013.
5. Implementation of XShare Sharing of Mobile phone by using System Architecture of Win32, System File API, Vol. 3, Issue 3, pp. 357 - 369, March – 2013.

6. SAT : A Security Architecture in Wireless Mesh Networks, Vol. 3, Issue 4, pp. 325 – 331,April2013.

7. Efficient Colour Image watermarking using factor Entrenching method, Vol. 4, Issue 3,pp.529–538, March 2014.

8. Anonymizing Geographic Routing for preserving location privacy using unlinkability and unobservability, Vol. 4, Issue 3, pp. 523-528, March 2014.

9. Comparison of CDMA and GSM Mobile Technology, 13 ( 12 ), pp: 1590 – 1594, 2013

10. Using the Conceptual cohesion of classes for fault Prediction in Object – Oriented Systems,Vol.2,Issue4,pp.75–80,April–2013.

11. Design based Object oriented Metrics to measure Coupling and Cohesion, Vol .2, Issue5,p.78 – 785, 2013.

12. Routing Misbehaviour Detection in MANETs using an ACK based Scheme, Vol. 2, Issue5,pp.261-268,2013.

13. Improved On-Demand Multicast Routing Protocol for Mobile Network to achieve betterperformance,Vol.2,Issue5,pp.1–7,2013.

14. Effective Detection and Security of source code Theft based on software Birthmark, Vol.3,Issue3,March2014.

15. Surety and Security of Transaction using upgrading Web system, Volume 3, Issue 4, April 2014.

16. Secret – Key Generation of Mosaic Image, Volume 3, Issue 6, pp. 164 – 166, June – 2013.

17. Email spam Zombies scrutinizer in email sending network Infrastructures, Vol. 4, Issue4,pp.366–373,April–2013.

18. A Reputation based Scheme for Routing Misbehaviour Detection in MANETs , Vol. 2,Issue6,pp.2701–2708,June-2013.

19. Electronic Mail spam zombies purify in E-mail connection, Vol. 1, Issue 3, June – 2013.

20. Automatic Detection & control of Malware spread in decentralized peer to peerNetwork,Volume1,Issue7,September2013.

21. Planning in FARS by Dynamic multipath Reconfiguration system failure recovery in Wireless Mesh Network, Volume 2, Issue 8, August 2014.

22. Autonomous System ( AS ) for Mesh Network by using packet transmission & failure detection, Vol. 2, Issue 12, pp. 7289 – 7296, December 2014.

23. Implementation of optimized cost, Load & service monitoring for grid computing, Vol.3,Issue2,pp.864–870,February-2015.

24. Transmission of data between sensors by devolved Recognition, Vol. 3, Issue 2, pp. 878–886,February-2015.

25. Secure Data Transaction in Multi cloud using Two-phase validation, Vol. 3, Issue 2, pp.845–853,February-2015.

26. Assist Autism spectrum, Data Acquisition method using Spatio-temporal Model”, Vol.3,Issue2,PP.871–877,February2015

27. Reduced path, Sink failures in Autonomous network Reconfiguration system( ANRS ) Techniques, Vol. 3, Issue 3, pp. 2566 – 2571, March - 2015.
28. Associate Adaptable Transactional information store in the cloud using distributed storage & Meta data manager, Vol. 3, Issue 3, pp. 1548 – 1555, March - 2015.

29. Mining user profile Exploitation cluster from computer program Logs, , Vol. 3, Issue 3,pp.1556–1561,March2015.

30. An advanced moving object detection algorithm for automatic traffic monitoring in real-world limited bandwidth networks, Vol. 3, Issue 3, pp. 2661 – 2668, March - 2015.

31. . Multi-Hop overlay Transport for High Throughput transfers in the Internet, Vol. 3, Issue3,pp.2320–2324,March - 2015.

32. . Neighborhood based framework, Active Learning, Vol. 3, Issue 3, PP. 2535 – 2542, March - 2015.

33. A Stochastic Model to Investigate Datacenter performance & QOS in IaaS cloud computing systems,Vol.3, Isue 3, PP. 2560 – 2565, March - 2015.

34. Traffic Identification Method Engine : An open platform for Traffic classification, Vol.3,Issue3,PP.2475–2481,March - 2015.

35. Human Effects to enhance clustering Techniques that Assists user in grouping the Friends,Vol.3,sue3,PP.1628–1635,March - 2015.

36. Secure multiparty protocol for Data Privacy in Distributed Environment, Vol. 3, Issue4,PP.3399–3403,April – 2015.

37. Safety & Moral Affairs in cyber space : An IT Firm’s prospect, Vol. 3. Issue 7, PP. 67426751,July–2015.

38. Reversible Data hiding with lossless Data Embedding, Vol. 3, Issue 8, PP. 7376 – 7386,August–2015.

39. Identification of Data result using effective probabilistic Flooding, Vol. 3, Issue 8, PP.7309–7314,Augus–2015.

40. An Reconized Data Mining Algorithm for E- Learning System, Vol. 3, Issue 7, PP. 6953–6959, July – 2015.

41. Implementation of secured Data using Key partitioning & IDA Method, vol.3, Issue 2,PP.676–680,February – 2015.

42. Advanced Auto Adaptive Edge-Detection Algorithm for flame monitoring & fire Image Processing, Vol. 9, Issue 22, pp. 5797 – 5802, 2014.

43. Finding the K-Edge connectivity in MANET using DLTRT, Vol. 9, Issue 22, pp. 5898–5907,2014.

44. A System for Retrieving Information directly from online social network user Link, Vol.9,Issue22,pp.6023–6028,2014.

45. Vehicular communication using Fvmr Technique, Vol. 9, Issue 22,pp. 6133 – 6139, 2014.

46. Network monitoring using Test Packet Generation, pp. 1 – 12, March Issue – 2015.

47. Providing security for social networks from inference Attacks, pp. 1 – 9, March – 2015.

48. Scalable multicasting with group mobility in Mobile Adhoc Networks, Vol. 3, Issue 12,December–2014.

49. Two Layer key scheme for Wireless Detector Networks, Vol. 3, Issue 8, August – 2015.

50. pplying Association Rule mining in Education Management Systems, Vol. 4, Issue 5, May – 2015.

51. Adaptive probalistic Algorithm for peer Networks, Vol. 4, Issue 7, July – 2015.

52. Multi-Layer Integrational of cluster computing, JIRAS, A Unit of UIIRS, PRINT ISSN : 2320 1932, ONLINE ISSN – 2348 3636, Vol. 2, Issue 1, PP. 188 – 196, January-June 2016.

53. Construction of Economical coloured Trees for node failures, Vol. 2, Issue 2,PP. 152 –160,Jul-Dec2016.
54. Energy-Minimum Data gathering operations based on dynamic programming using wireless sensor Network, Vol. 2, Issue 2, PP. 169 – 179, Jul-Dec 2016.

55. Automatic Diagnosis using Test Packet Generation, PP. 1 – 7, March – 2015.

Faculty Development Programs and Workshops Attended:

 Workshop High Impact Teaching Skills WIPRO MISSION 10X Bharath University,Chennai.
 Workshop Creative Teaching Skills G.K.M. College of Engineering &Technology,Chennai
 International Workshop Scientific Research Practices Bharath University,Chennai
 International Workshop I.P Subnetting Bharath University,Chennai
 Faculty Development Programme Faculty Development Programme on Staff Bharath University,Chennai
 Technical Workshop Network Security - 2 Bharath University,Chennai
 Staff Development Programme(A.I.C.T.E) Programming Paradigms R.M.K. Engg. CollegeChennai.
 Faculty Development Programme Cloud Infrastructure and Services ICT Academy of Tamil Nadu Government ofTamil Nadu

News Letter

To get more updates subscribe our News Letter
Visit Us On FacebookVisit Us On TwitterVisit Us On YoutubeVisit Us On LinkedinVisit Us On Instagram