Mr. SAFVAN VAHORA

Faculty Details

Mr. SAFVAN VAHORA
  • Designation : Assistant Professor
  • Qualification : Ph.D.
  • Experience : 13 Years
  • Area Of Interest : Computer Vision, Image Processing, Neural Network

Papers/Book Publication

  1. S. A. Vahora and N. C. Chauhan, “Group Activity Recognition Using Deep Autoencoder With Temporal Context Descriptor,” International Journal of Next-Generation Computing, November 2018, Vol 9, Issue 3, ISSN (Online): 0976-5034, ISSN (Print): 2229-4678
  2. S. A. Vahora and N. C. Chauhan, “Deep Neural Network Model for Group Activity Recognition Using Contextual Relationship,” Engineering Science and Technology, an International Journal, Vol 22, Issue 1, pp 47-54, Feb-2019 ISSN: 2215-0986,  Elsevier Publication. ISSN: 2215-0986,  Elsevier Publication.
  3. Neel Parikh, Ishita Shah and Safvan Vahora, “Android Smartphone based Visual Object Recognition for Visually Impaired using Deep Learning”, International Conference on Communication and Signal Processing (ICCSP-2018), April 3-5, 2018, ISBN No-  978-1-5386-3520-9.
  4. S. A. Vahora and N. C. Chauhan, “A Comprehensive Study of Group Activity Recognition Methods in Video,” Indian Journal of Science and Technology, Vol. 10, Issue. 23, pp. 1–11, June. 2017. ISSN (Online) : 0974-5645, ISSN (Print) : 0974-6846
  5. Siddharth Shah, Gopi Bhatt, Safvan Vahora, February 2017, “Gender Classification From Faces: A Survey”, International Conference on Research and Innovations in Science, Engineering & Technology (ICRISET-2017). ISBN No-  978-93-84339-38-8
  6. Kinjal  Joshi, Safvan  Vahora, May 2015, “Crowd Behavior Analysis Using Fast Feature”,Journal of Emerging Technologies and Innovative Research (JETIR), Vol. 2, Issue 5., pp 1495-1500   ISSN (Online): 2349-5162
  7. Kinjal  Joshi, Safvan  Vohra, December 2014, “Crowd Behavior Analysis”, International Journal of Science and Research (IJSR) Vol. 3, Issue 12.,pp 835-837,  ISSN (Online): 2319-7064
  8. Krunal Shah, Jaymit Pandya, Safvan Vahora, April 2013, “A Survey On Super Resolution Image Reconstruction Techniques”, International Journal of Engineering Research & Technology (IJERT) Vol. 2, No.4.,pp 1897-1901, ISSN No : 2278-0181
  9. Safvan Vahora, Narendra Chauhan, Nilesh Prajapati, Feb 2012, “A Robust Method for Moving Object Detection Using Modified Statistical Mean Method”, International Journal of Advanced Information Technology (IJAIT) Vol. 2, No.1.,pp 65-73, ISSN No : 2231 - 1548
  10. Safvan Vahora, Narendra Chauhan, Nilesh Prajapati, Jan 2012,  “Moving Object Detection Using Incremental Statistical Mean Technique", Proc. of SPRINGER, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,   The Second International Conference on Computer Science and Information Technology (CCSIT-2012),pp 204-210. ISBN No : 978-3-642-27307-0
  11. Safvan Vahora, Mosin Hasan, Reshma Lakhani, Dec 2011,  “Novel Approach: Naïve Bayes with Vector Space Model for Spam Classification", Proc. of IEEE Xplore, 2nd  International Conference on Current Trends in Technology (NUiCONE 2011)” pp. 450-454. ISBN No : 978-1-4577-2169-4
  12. Safvan Vahora, Narendra Chauhan, Nilesh Prajapati, May 2011,  "A Review Of Moving Object Detection Methods For Visual Surveillance", International Conference On Advances In Engineering and Technology (ICAET 2011), ISBN No : 978-1-4507-6433-9
  13. Safvan Vahora, Mosin Hasan, Chirag Patel, Jan 2011, "Legitimate Spyware Detection using Weighted Feature by Vector Space Model for EULA", International Conference on Intelligent System and Data Processing  (ICISD 2011), ISBN No : 978-1-6123-3002-0
  14. Mosin Hasan, Nilesh Prajapati, Safvan Vahora, June 2010, “case study on social engineering Techniques for persuasion”, International journal on applications of graph theory in wireless ad hoc networks and sensor networks (GRAPH-HOC) Vol.2, No.2., pp 17-23. ISSN No : 0975-7031 (Online) 
  15. Kirti Sharma, Safvan Vahora, Jaymit Pandya, Dec 2009,  "Stemming With Longest Common Substring Algorithm in Data Mining", National Conference on Advance Computing (NCAC’09). ISBN No- 978-81-909376-0-3.

Short Term Training Details

  1. Mobile Application Development Organized by VGEC Chandkheda and GTU during  20-24 Jun 2011
  2. Embedded System Design Organized by GTU and I.C Dept. VGEC  during 25-29 Jun 2012
  3. Induction Phase-1 Organized by NITTR Bhopal during 26 May - 06 Jun 2014
  4. Introduction to Design of Algorithms Organized Organized By IIT kharagpur, at remote center MBICT New V.V.Nagar during 27 Apr - 30 May 2015.
  5. Advanced Image And Video Processing Organized By G H Patel College Engineering & Technology during 16 - 20 Oct 2015

Workshop/Seminar/Expert Talk/Awards

  1. Expert talk delivered on MATLAB on 28-29th March 2014 at MBICT engineering college during ADHISTHAN 14 event.

Skills and Knowledge

  • C,C++, Java
  • Image Processing
  • Computer Vision

Work Experience

  • Assistant Professor (Information and Technology department)
         Vishwakarma Government Engineering College, Chandkheda  (May-2011 to Continue...)

Education Qualification

B. E. (Information Technology)

First Class with Distinction.

M. E. (Computer Engineering)

First Class with Distinction.

PhD

(Pursuing)

Courses Taught

Undergraduate (B. E. Information Technology)

  • Computer Programming and Utilization
  • Database Management System
  • Operating System
  • Python Programming
  • Distributed DBMS
  • Artificial Intelligence
  • Computer Network
  • Software Engineering

Portfolios

  • Institute Website Management
  • Department GTU Coordinator

Research Projects

  • NIL

Patent Filed


Professional Membership


Awards