Guru Ghasidas Vishwavidyalaya
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Dr. Princy Matlani

Assistant Professor

Work Experience

4 years of Teaching Experience

Area of Specialization

  • •Computer Vision
  • •Surveillance systems
  • •Image processing

Projects & Patents

  • • Smoke Detection Using Computer Vision (PhD)
  • • Forgery Detection in surveillance video.
  • • Online Patient Data Monitoring and Processing In Cloud(M.Tech Thesis Work)

Education

  • •2014-2020 Guru Ghasidas University, Bilaspur Ph.D (Computer Science & Engineering) Course Percentage 82%
  • •2011-2013 National Institute Of Technology Raipur (C.G) M.Tech Computer Technology 8.75( 2nd rank,silver medalist)
  • •2007-2011 CSVTU, Bhilai, (C.G.)(Govt. Engineering College,Bilaspur) B.E.(Computer Science) 80.38%
  • •2007 CBSE 12th Board Mathematics, Physics,Chemistry,Hindi and English 77 %
  • •2005 CSBE 10th Board English, Hindi, Mathematics, S&T, S.Sc 72 %

Achievments/Awards/Honors

  • • Branch Topper and Alumni in B.E(CSE), Government Engineering College, Bilaspur(C.G)
  • • Silver Medalist In M.Tech NIT Raipur(C.G)

Publications

  1. 1. "Matlani, Princy; Shrivastava, Manish; ",Spatio temporal smoke detection using hybrid deep Q learning classifier for educatingengineering students, The International Journal of Electrical Engineering & Education

  2. 2. “An Efficient Algorithm Proposed For Smoke Detection in Video Using Hybrid Feature Selection Techniques”, ETASR(Web of Science) Thomson Reuters indexed Engineering, Technology &Applied Science Research Vol. 9, No. 2, 2019, 3939-394.

  3. 3. “Hybrid Deep VGG-NET Convolutional Classifier for Video Smoke Detection”, Princy Matlani and Manish Shrivastava, CMES: Computer Modeling in Engineering & Sciences, Vol. 119,No. 3, 2019 ,pp.427-458

  4. 4. “A Survey On Video Smoke Detection”, ICT4SD 2016 GOA India, Springer Proceedings, Volume 1 2016.

  5. 5. “A Smoke Detection Algorithm Based On K-Means Segmentation”, IEEE Xplore 2016, ICALIP, CHINA.

  6. 6. ” Vision-Based Smoke Detection”, MTMI 2017, DUBAI

  7. 7. ”Cloud Based Telemedicine Service”,IEEE , EMBS,POCHT-13.

  8. 8. “Real-time Indoor Theft Detection System Using ComputerVision “, International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2018 IJSRCSEIT | Volume 3 | Issue 1 | ISSN : 2456-3307791