Mr. Manan Nanavati

Faculty Details


  • Designation : Assistant Professor
  • Qualification : M.Eng - Biomedical Engineering
  • Experience : 3 Years
  • Area Of Interest : Biomechanics, Rehabilitation Engineering, Biomedical Data Analysis

Educational Qualification

  • Currently pursuing PhD in Biomedical Engineering from Gujarat Technological University since 2018. 
  • Master in Biomedical Engineering (M.Eng.) from Martin Luther Univeristy Halle-Wittenberg & Anhalt University of Applied Sciences, Germany with GPA of 1.3 (German Grading System; Equivalent to 90-95%).  Master’s Thesis: “A step towards improving diagnosis of Multiple Organ Dysfunction Syndrome through an early detection of oxygen related diseases with help of Radial basis function: Development and Implementation of Novel algorithms tested with IMPROVE data library.”
  • Bachelor of Biomedical Engineering (B.E.) from Government Engineering College, Gandhinagar, Gujarat, India, Affiliated to Gujarat University, with 68.80 % (First class with Distinction).

Work Experience

Current Employment

Employer Name:

  Government of Gujarat (Technical Education Department)

Employer’s Address:

  Government Engineering College, Sector-28, Gandhinagar, Gujarat.

Department:

  Biomedical Engineering

Designation:

  Assistant Professor, GES Class-II

Duration:

  28th June, 2018 to Present 

Past Employment 

Duration

Employer

Designation

Experience

March 2016 – December 2017

U V Patel College of Engineering, Ganpat University, Mehsana

Assistant Professor

21 months

January 2015 – February 2016


Government Engineering College, Gandhinagar

Visiting Faculty

13 months






Research & Publications

Publications

Year

Title of Paper

Journal/Conference Name

August-2014

Comparison of Supervised and Unsupervised Radial Basis Function Networks for Breast Cancer Analysis

36th Annual International Conference IEEE Engineering in Medicine and Biology, Chicago, 2014

September-2014

Implementation, testing and evaluation of center selection method for radial basis network to enhance breast cancer analysis

22nd Annual Symposium Simulation Techniques, Berlin, 2014

January-2015

Implementation, testing and evaluation of center selection method for radial basis network to enhance breast cancer analysis

SNE Simulation Notes Europe, 25(3-4), Vienna, ARGESIM / ASIM / EUROSIM. ISSN/ISBN Print: 2305-9974

Research Projects done

Year
Theme of work
January - 2014 to May 2014

MATLAB based Biomedical data analysis

June 2014 - September 2014

RFID based Medical data localization

STTP / Workshop / Seminar Attended

Sr. No.

Name of Training

Duration

Venue

1

GIAN course on "Creating Solutions in Minutes for Person with disabilities

9th January to 13th January, 2017

IIT – Madras

2

AICTE Sponsored QIP course on “Laboratory Ergonomics & Safety for Engineers”

12th June to 17th June, 2017

IIT – Bombay

3

FDP on “Beyond the classroom towards excellence”

12th July to 18th July, 2018

IITE – Gandhinagar

4

Induction Phase – I

29th November to 7th December, 2018

NITTTR Bhopal

5

Online MOOC Training on “Digital Image Processing”

25th July to 16th November, 2019 (Online NPTEL) equivalent to 1.5 Weeks

NPTEL Online

Courses Taught

Following courses have been taught (Lecture and Laboratories) at undergraduate, and post-graduate level.

Undergraduate (B. E. Biomedical Engineering)

  • Bioelectric Potential and Measurement Techniques (Sem-3)
  • Modelling and Simulation of Biomedical Systems (Sem-5)
  • Digital Signal Processing (Sem-5)
  • Institute Elective - I (Cyber Security) (Sem-5)
  • Biomechanics (Sem-6)
  • Rehabilitation Engineering (Sem-6) 
  • Diagnostic Instrumentation (Sem-6)
  • Biomedical Image Processing (Sem - 7)

Portfolios

Institute Level Portfolios: 


1. Departmental Co-ordinator in Training & Placement Cell 
2. Scholarship 
3. Member in Institute Security Committee 

Department Level Portfolios: 

1. Course File & Lesson Planning (Academic Officer) 
2. Departmental Exam (UG & PG) 
3. Departmental Student Section
4. Staff Student Attendance & Daily Attendance 
5. Media Cell