Department of Computer Science And Engineering

National Institute of Technology, Warangal - 506004, Telangana, INDIA

: sgs@nitw.ac.in,sgsanjeevi108@gmail.com

: 08702468711

Interests: Machine Learning and Soft Computing; Data Mining, Big Data Analytics, Software defined Networks Software Engineering

Courses Currently Being Taught (2017-2018)

S.No.ClassesDept.SemesterCourse IDCourse Name
1.MCA.CSE3CS6353Software Engineering  Principles


A and B Sections

 CS304Software Engineering 

Courses Taught Previously:

1.  CS452         Machine Learning & Soft Computing

2.  CS304         Software Engineering

3.   CS5111     Machine Learning

4.   CS5354      Algorithm Analysis and Design

5.   CS101         Problem Solving and Computer Programming

6.   CS252        Computer Architecture

7.  CS5111       Pattern Recognition

8.  CS565           Computational Intelligence

9.   CS427          Design and Analysis of Algorithms

10.  CS562        Advanced Topics in Neural Networks and Soft Computing

11.  CS6321     E-Commerce Technologies and Management

12,   CS6323    Advanced Data Structures



Journal Publication Details:

S.No.AuthorsTitleJournal NameVol.,

Page No.,


1.Srilatha Chebrolu and Sriram G. SanjeeviAttribute reduction on real-valued data in rough set theory using hybrid artificial bee colony: extended FTSBPSD algorithm

Soft Computing, Springer (SCI)

August, 2016

2.Srilatha Chebrolu and Sriram G. SanjeeviForward tentative selection with backward propagation of selection decision algorithm for attribute reduction in rough set theory 

  International Journal of Reasoning based Intelligent Systems, 

Inderscience (SCOPUS), 

Vol 7, No. 3-4, pp 221-243, 2015

A. Naga Nikhila, Thaseem Khan and G. Sumathi

Hybrid PSO-SA algorithm

for training a Neural Network

for Classification

International Journal

of Computer Science,

Engineering and Applications (IJCSEA), ISSN: 2230-9616

Vol.1, No.6,




A. Naga Nikhila, Thaseem Khan and G. Sumathi

Comparison of Hybrid PSO-SA algorithm and Genetic algorithm for Neural Network training.Computer Engineering and Intelligent Systems .


 Vol 3, No 2, pp.37-44,



S.G. Sanjeevi and Pushpak BhattacharyyaUse of coarse-coding for the implementation of membership functions of neuro-fuzzy inference systems

WSEAS Transactions on Systems

Vol.5(2), pp. 395-402



S.G. Sanjeevi and Pushpak BhattacharyyaA fault tolerant connectionist model for predicate logic reasoning, variable binding: using coarse-coded distriburepresentations

WSEAS Transactions on Systems

Vol.4(4), pp. 331-336

April, 2005.

Conference Proceedings:

S.No.AuthorsTitleConference NameVol., Page No., Year



Pushpak Bhattacharyya

A connectionist knowledge

based system using coarse-coded

distributed representations

ACM International

Conference and Workshop

on Emerging Trends in Technology, ICWET 2010,


February 26-27, 2010.



Pushpak Bhattacharyya

Connectionist predicate logic model with parallel execution of rule chains.ACM International Conference

and Workshop on Emerging Trends in Technology,

ICWET 2010


February 26-27, 2010.


Sucheta Kolekar

The Framework of an Adaptive User Interface for E-learning Environment using Artificial Neural NetworkEEE'10 - 9th International Conference on e-Learning, e-Business, Enterprise Information Systems, and e-GovernmeLas Vegas, USA.pp.65-69

July 12-15, 2010


Sucheta Kolekar

Acquisition of Users Learning Styles Using Log Mining Analysis through Web Usage Mining Process.3rd International Conference on Intelligent Decision Technologies, KES IDT 2011, University of Piraeus, Greece.pp.809-819

July 20-22, 2011


Sucheta Kolekar

Learning Style Recognition using Artificial Neural Network forAdaptive User Interface in E-learning.IEEE International Conference On Computational Intelligence And Computing Research (ICCIC 2010), Coimbatore.December 28-29, 2010
6.S.G. Sanjeevi,

Srilatha Chebrolu

Attribute Reduction in Decision-Theoretic Rough Set Models using Genetic Algorithm.Joint International conference on Fuzzy and Neural Computing Conference, Lecture Notes in Computer Science, Vishakapatnam.Vol. 7076/2011


19th-21st December 2011

7.S.G. Sanjeevi,

A. Naga Nikhila, Thaseem Khan and G. Sumathi

Using simulated annealing with a neural network for classification.National Conference on recent frontiers in applied dynamical systems. Coimbatore21 - 22, January 2011.

A. Naga Nikhila, Thaseem Khan and G. Sumathi

Function approximation with a neural network trained using simulated annealing.National Conference on recent frontiers in applied dynamical systems, Coimbatore.21 - 22, January 2011.
9.S.G.Sanjeevi and Pushpak BhattacharyyaIntegrating Connectionist Predicate Logic Reasoning System And A Connectionist Semantic Network

International conference on Recent Advances in Mathematical Sciences and Applications, Visakhapatnam.

December, 19 th-22nd, 2009.


10.S.G.Sanjeevi and Pushpak BhattacharyyaPropositional Logic Reasoning System with Connectionist Networks using Coarsecoded RepresentationsInternational Conference on Systemics, Cybernetics and Informatics, ICSCI-2007







11.S.G.Sanjeevi and Pushpak BhattacharyyaNon-Monotonic reasoning with connectionist networks using coarse-coded Representations5th IEEE International conference on Machine Learning and Cybernetics (ICMLC 2006)

Dalian, China



13th-16th August, 2006

12.S.G.Sanjeevi and Pushpak BhattacharyyaA fault tolerant Connectionist Model for Predicate Logic Reasoning, variable binding: using Coarse-coded DistribuRepresentations6th WSEAS International Conferences NN, FS, EC,


Lisbon, Portugal


June 16-18,


13.S.G.Sanjeevi and Pushpak BhattacharyyaA Connectionist Model for Predicate Logic Reasoning using Coarse-coded Distributed Representations9th International conference on Knowledge-based & Intelligent Information and Engineering Systems(KES 2005),


Melbourne, Australia

LNAI, No.3682,


14th to 16th September 2005

14.S.G.Sanjeevi and Pushpak BhattacharyyaA fault tolerant neuro-fuzzy inference system using coarse-coded distributed representationsThe 4th WSEAS InternatioConference on Computational Intelligence, Man-Machine Systems and Cybernetics (CIMMACS )

Miami, Florida, USA.


17th-19th, November, 2005

15S.G.Sanjeevi and Pushpak BhattacharyyaConnectionist Reasoning System using Coarse-coded Distributed RepresentationsInternational Conference on Systemics, Cybernetics and Informatics, ICSCI-2005




6th to 9th January,


16Sushil Baid, Simi Varghese, S.K. Shristav and S.G.SanjeeviObject oriented approach to application-level tunneling: TCP/IP over IPXProceedings of National Conference on Object Oriented Technology (NCOOT 97) , Warangal.


23rd &24th , August ,1997.

17Sowmya Sree Bhagavatula, Sriram G. Sanjeevi , Divya Kumar, Chitranjan Kumar Yadav,Multi-Objective Indicator Based Evolutionary Algorithm for Portfolio optimization

IEEE International Advance Computing Conference (IACC),

 Feb 21-22, 2014
18 S.G. Sanjeevi,

Srilatha Chebrolu

 Attribute Reduction in Decision-Theoretic Rough Set Model using Particle Swarm Optimization with the threshold parameters determined using LMS training rule 3rd International Conference on Recent Trends in Computing 2015 (ICRTC-2015), Ghaziabad 12-13, Mar 2015.
19 Sriram G. Sanjeevi, Srikanth. Grandhe, Himanshu. Shrivastav, Ankit. Yadav, Tapas Kumar. Mahanta, and Ch. Naveen Kumar An Adaptive Clustering and Incremental LearningSolution to Cold Start Problem in Recommendation Systems 3rd International Conferenceon Computer and Intelligent Systems (ICCIS'15), Dubai Jan11-12,2015

S.G.Sanjeevi, Aluguvelli Sindhu, Shrutika Pimpalkar, Sujith .S.A

Efficient Algorithm For Mining High Utility Item Sets From Large Datasets Using Vertical ApproachInternational Conference on Engineering and Technology, HyderabadApril 5th, 2015

Srilatha Chebrolu and Sriram G. Sanjeevi 

Attribute Reduction on Continuous Data in Rough Set Theory using Ant Colony Optimization MetaheuristicACM Proceedings of the Third International Symposium on Women in Computing and Informatics (WCI-2015), Kochi10 - 13 August 2015, pp. 17-24.

Ph.Ds Supervised:

Candidate NameTitleAward
Srilatha ChebroluAttribute Reduction using Rough Sets, Boolean Reasoning and Evolutionary Algorithms August, 2016
P. Lalitha KumariHigh Utility Item-set miningOngoing
G SpoorthyRecommendation SystemsOngoing
P.V. ShaliniSoftware Defined NetworksOngoing

Research Interests:

Machine Learning, Neural Networks and Soft Computing, Fuzzy and Rough Set based Systems, Artificial Intelligence, Data Mining and Big data Analytics.

Workshop/SSTPs/Conference Organized:



Artificial Neural Networks and Applications at NIT Warangal.

6th-7th, May 2006

Soft Computing course at NIT Warangal

28th, July - August 9th , 2008


Machine learning and Soft Computing refresher course

at NIT Warangal

18th, May - May 30th , 2009

FDP on Machine learning and soft computing 

December 28 2015-January 9, 2016

Workshop/SSTPs/Conference Attended:


Organized At


IEEE con ference on Technology for Education,

(T4E 2015) 

 NIT Warangal10th - 12th December, 2015
Technical Co-operation training Program

in Advanced Software Development

and Advanced Databases

Leeds Metropolitan University,

Leeds, England

5th February to

5th June 1996

(4 months)

Work Shop on Management of change

and lifelong learning

REC Warangal, India29th April 1998


Business Development and MarketingIndian Institute of Management (IIM), AhmedabadMar 21 to Apr 9, 1999 (20 days)
MSIT Mentor training program.A.P. State council of Higher education in collaboration with

Carnegie Mellon University, USA

June 15th-June 23rd, 2000

(9 days)

Software Engineering tools and techniquesAnna University, ChennaiDec 27-Dec 29, 2000 (3 days)
Management-Insight for Faculty membersAdministrative Staff College of India , Hyderabad (ASCII), conducted at WarangalJuly 3-7, 2006

(5 days)

Service Oriented Architecture and Cloud computing Tata Consultancy Services (TCS)10th October 2011 (1 day)
Strategic Leadership for Higher EducationIndian School of Business, Hyderabad29th June - 30th June, 2012 (2 days)

National Workshop on Main Phase Pedagogy Methods

NIT Warangal sponsored by MHRD-IITKGP-NITW under Teqip-II.

9-10th, August, 2013

Sponsored R&D Projects:


Project Name

Project Cost

Duration & Sanct.Year

NMEICT, MHRD sponsored Project.

Pedagogy Research Project for

Problem Solving and Programming

10 Lakhs


Pilot Phase completed


Awards Received:

Received best paper award for paper titled "Connectionist Reasoning System using Coarse-coded Distributed Representations", presented at International Conference on Systemics, Cybernetics and Informatics ( ICSCI-2005) during 6th to 9th Jan 2005.


Additional Administrative Responsibilities :

  • Head, Department of Computer Science and Engineering (July 2011-Dec.2012)
  • Head, Computer Centre ( July 2010 to Sept 2011)Faculty Incharge, MIS since Mar 2010
  • Faculty Incharge, MIS since Mar 2010Board of studies Member for CSE, Kakatiya University.
  • Board of studies Member for CSE, JNTU Hyderabad.
  • Board of studies Member for CSE, Kakatiya University.
  • Purchase Committee Member of Computer Centre.(Oct 2012-Dec.2014)
  • Purchase Committee Member of Computer Science and Engineering Jan2013-Dec2015
  • Staff Advisor Computer Science and Engineering Association (CSEA) Jan 2013 onwards
  • Staff Advisor Computer Science and Engineering Association (CSEA) from Aug 2006 to June 2011.
  • Faculty Incharge, MIS since Mar 2010


Course Taught Previously




PHDs Supervised






Awards and Honors


Additional Responsibility