Mr. Chintan Shah

Faculty Details


  • Designation : Assistant Professor
  • Qualification : Ph.D.
  • Experience : 4 Years
  • Area Of Interest : Artificial Intelligence, Image processing

Educational Qualification

  • B.E. - Biomedical Engineering (2009), Gujarat University
  • M.E. - Biomedical Instrumentation (2011), Pune University 
  • Ph.D.- Instrumentation and Control (2019), GTU

Work Experience

  • Assistant Professor at UVPCE, Mehsana from December-2011 to February-2016
  • Lecturer at GP, Ahmedabad from March-2016 to June-2017
  • Assistant Professor at GEC,Gandhinagar from July-2017

Skill and Knowledge

 Software knowledge: 

  1. MATLAB
  2. LabVIEW
  3. Python packages
  4. C,C++
  5. MS Office Components
Platform Knowledge:
  1. Windows
  2. Ubuntu

Courses Taught

  • Biomedical Image Processing
  • Microprocessor and its Interfacing
  • Microcontroller and Interfacing
  • Embedded System Design
  • Therapeutic Technology and Instrumentation
  • Biostatistics
  • Control System Analysis
  • Modelling and simulation of Physiological Control System
  • Introduction to Virtual Biomedical Instrumentation

Training and workshop

  1. Induction Training Programme Phase-I
  2. Faculty develop programme at IITE
  3. Computer Vision (MOOCS)

Duty Assigned

  • Departmental Time Table and Overload
  • Co-Curricular Activities,
  • Final Year Mentor
  • Departmental IT maintenance

Publications

  1. Brain Computer Interface implementation using Clustering techniques, INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCH TECHNOLOGY(IJESRT) ISSN: 2277-9655
  2. EEG Channels selection based on Higher order Statistics for BCI Applicatrion, International Journal of Computational Engineering Research (IJCER) ISSN: 2250-3005
  3. A Statistical Feature Extraction approach to detedt Executed Movement from EEG Signals, International Journal of Research in Advent Technology E-ISSN 2321-9637
  4. Review on classification of EEG data for different Applications International Journal OF Engineering Sciences & Management Research ISSN: 2349-6193