Dr. Ch.Sudha Sree



Designation: Assistant Professor
Date of Birth:15-07-1979
Date of Joining:14-05-2007
Research Interests: Digital Image Processing
Qualifications:
Ph.D, Acharya Nagarjuna University (2018)
MCA, M.Tech
(as on 22-10-2021)

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Patents Granted/Published
Sl. No. Patent Title Applicant's/
Inventor's Name
Country Name Patent Application No. Date of Publication Status
1 ACDN-OBJECT DETECTION SYSTEM: AUTOMATIC OBJECT DETECTION SYSTEM WITH IMAGE CLASSIFICATION AND DEEP NEURAL NETWORKS. Dr.Ch.Sudha Sree India 202041050684 04-12-2020 Published

Papers published in National/International Journals:
  • Dr.A. Srinagesh, Dr. Ch.Sudha Sree , Dr.B.Prasanthi,P.Rama Krishna, P. Siva Prasad,"Next Word Prediction In Telugu Sentences Using Recurrent Neural Networks", Turkish Online Journal of Qualitative Inquiry (TOJQI) Volume 12, Issue 5, July, 2021: 4284-4292.(SCOPUS Indexed)
  • Ch.Sudha Sree, M.V.P Chandra Sekhara Rao, "Completed Local Ternary Count for Rotation Invariant Texture Classification", Journal of Engineering and Applied Sciences, Vol.13, Issue 10, pp.3633-3641,2018.
  • Ch.Sudha Sree, M.V.P Chandra Sekhara Rao, "Completed Robust Adjacent Evaluation of Local Binary Count for texture classification", Journal of Advanced Research in Dynamical and Control Systems, 592-607, 2017
  • Ch.Sudha Sree, "Survey on Extraction of Texture based Features using Local Binary Pattern", Journal of Engineering Research & Technology (IJERT), Vol. 4 Issue 07, July-2015
  • M.Pompapathi, Dr.A.Sri Krishna, Ch. Sudha Sree, "Edge Detectors on Grayscale Images - A Comprehensive Survey" ANU Journal of Engineering & Technology Vol.II No.2, June-December 2012.
Papers published in Conferences:
  • Ch.Sudha Sree, M.V.P Chandra Sekhara Rao, "Adjacent Evaluation of Completed Local Ternary Count for Texture Classification", IEEE 7thInternational Advance Computing Conference, DOI 10.1109/IACC.2017.135,pp.690-696,2017.
Workshops Attended:
  • Attended Online FDP on "Python Progrtamming" conducted by APSSDC, during 18th to 30th May 2020.
  • Attended Online FDP on "Neural Network and CNN" conducted by AICTE, Curriculum Development Centre Department, NITTR, Chandigarh, durin 20-24 Apr 2020.
  • Attended One Day "Workshop on R" conducted by IIT Bombay, held at R.V.R&J.C College of Engineering, on 9th Nov, 2019.
  • Attended One Week STTP on "MulticoreArchitecture and Programming"', conducted by R.V.R&J.C College of Engineering, during 26-31 Aug 2019.
  • Attended a 2-day SaptahaantShikshakPrashikshan on 'Introduction to Machine Learning', conducted by IIT, Kharagpur, held at R.V.R&J.C College of Engineering, during 16-17 Dec. 2017.
  • Attended a FDP on 'Pedagogy for Online and Blended Teaching-Learning Process' conducted by IIT Bombay, during September 14, 2017 to October 12, 2017.
  • Attended a FDP on 'Foundation Program in ICT for Education' conducted by IIT Bombay, during August 3, 2017 to September 7, 2017.
  • Attended a One Week Short Term Course on 'Artificial Neural Network & Fuzzy Logic through ICT' organized by the Dept. of CSE, RVRJCCE,National Institute of Technical Teachers Training and Research(NITTTR), Chandigarh, during 24- 28April, 2017.
  • Attended a Five Day Faculty Development Program on 'Java Fundamentals and Programming' organized by the Oracle Academy, R.V.R & J.C College of Engineering, Guntur, during 20-24, June, 2016.
  • Attended a One Day Pre-conference Workshop on 'Data Analytics and Information Processing' organized by the Department of Computer Science and Engineering, JNTUH College of Engineering ,Hyderabad, on 28th May,2016.
  • Attended a Three Day program on 'Hands on Evolutionary Algorithms Using Matlab' organized by the Department of Computer Applications and Computer Society of India, PVP Siddhartha Institute of Technology, Vijayawada during 10 - 12 Sept. 2015.
  • Attended a Two Day Workshop on 'Applications of Computational Techniques in Engineering', organized by the Department of Chemical Engineering, RVR & JC during 6 - 7 November 2015.
  • Attended a One Day DBT Sponsored National Seminar on 'Fusion Techniques for Improved, Detection and Diagnosis of Abnormalities in Bio-Medical Images' organized by the Department of Electronics and Communication Engineering, School of Communication and Computer Sciences, Kongu Engineering College, Perundurai, Erode, Tamilnadu,26th June,2015.
  • Attended a Two Day wWorkshop on "Big Data Analytics", organized by the Department of Computer Science & Engineering, University College of Engineering & Technology, Acharya Nagarjuna University, Guntur, during 9 -10 December, 2014.
  • Attended a Two Day Workshop on "Research Issues in Information Retrieval" organized by Department of Computer Science and Engineering, R.V.R & J.C College of Engineering, Chowdavaram, during 2-3 May, 2014.
  • Attended a Two Day Workshop on "Computer Vision and Pattern Recognition Using MATLAB" organized by Department of Information Technology, R.V.R & J.C College of Engineering, Chowdavaram, during 21-22 April, 2014.
  • Attended a Three Day Workshop on "Signal and Image Processing using Lab VIEW" organized by Department of Electronics and Communication Engineering, R.V.R & J.C College of Engineering, Chowdavaram during 11-13 November, 2013.
  • Attended a Two Day National Seminar on "Solar energy harvesting through photovoltaic cells and storage"(SEHTPVAS-13),organized by Department of Physics and Chemical Engineering ,R.V.R & J.C college of engineering,Guntur,during 21-22 June,2013.
  • Attended a Two Day National Seminar on "IMAGE PROCESSING AND ITS APPLICATIONS" from 03.12.2011 to 04.12.2011, held at Acharya Nagarjuna University, GUNTUR.
  • Attended a Two Day National Level Workshop on "BIG DATA ANALYTICS" organized by the Department of Computer Science and Engineering, R.V.R & J.C College of Engineering, Guntur, during 17 -18 April, 2013.
Details of Funded Projects
  • Fund sanctioned by Thinkwright Learning Services Pvt.Ltd. on "Automatic model for disease identification in cotton plants using Deep Learning".

Memberships:
  • IAENG
  • SDIWC

Contact Details:
EMail: chss [at] rvrjc.ac.in
Phones: +91 8632288254 Ext: 391