Courses

2019 July - November

  • AE 225: Incompressible Fluid Mechanics.

2019 January - May

  • AE 102: Data analysis and interpretation.

  • AE 312: Aerodynamics Laboratory (along with several other faculty members)

2018 July - December

On sabbatical at the Department of Mechanical and Industrial Engineering, UMass Amherst!

2018 January - May

  • AE 102: Data analysis and interpretation.

2017 July - December

  • AE 625: Particle methods for fluid flow simulation.

  • AE 663: Engineering Mathematics (along with Prof. K. Bodi)

  • AE 611: Aerodynamics Laboratory (along with several other faculty members).

2017 January - May

  • AE 102: Data analysis and interpretation.

  • AE 320/AE 706: Computational fluid dynamics (along with Prof. K. Bodi)

  • AE 312: Aerodynamics Laboratory (along with several other faculty members)

2016 July - December

  • AE 625: Particle methods for fluid flow simulation.

  • AE 425/AE 663: Software Development Techniques for Engineering and Scientists. (along with Prof. Madhu Belur and Prof. Kumar Appaiah)

  • AE 611: Aerodynamics Laboratory (along with several other faculty members).

2016 January - May

  • AE 102: Data analysis and interpretation.

  • AE 320/AE 706: Computational fluid dynamics (along with Prof. K. Bodi)

  • AE 312: Aerodynamics Laboratory (along with several other faculty members)

2015 July - December

  • AE 625: Particle methods for fluid flow simulation.

  • AE 611: Aerodynamics Laboratory (along with several other faculty members).

2015 January - May

  • AE 625: Particle methods for fluid flow simulation.

  • AE 425/AE 663: Software Development Techniques for Engineering and Scientists. (along with Prof. Madhu Belur and Prof. Shankar Balachandran)

2014 July - December

  • AE 102: Data analysis and interpretation.

2014 January - May

  • AE 625: Particle methods for fluid flow simulation.

2013 July - December

  • AE 207: Introduction to Engineering Design (along with Prof. R. K. Pant).

  • AE 332/ AE 714: Aircraft design (along with Prof. R. K. Pant).

2011 July - 2013 July

On Lien.

  • AE 425/AE 663: Software Development Techniques for Engineering and Scientists. (along with Prof. Madhu Belur)

2011 January - May

  • AE 305/AE 717 Flight Mechanics II/Aircraft flight dynamics.

2010 July - December

  • AE 305/AE 717 Flight Mechanics II/Aircraft flight dynamics.

  • AE 625: Particle methods for fluid flow simulation.

2009

Spring

  • AE 305/AE 717 Flight Mechanics II/Aircraft flight dynamics.

2008

Fall

  • AE 625 Particle methods for fluid flow simulation: Introduces the student to particle methods (viscous/inviscid vortex methods in 2D, 3D, SPH and DSMC).

  • AE 705: Introduction to flight (along with Prof. V. Menezes)

Spring

  • AE 451 Numerical methods for engineers /AE 771 Matrix computations

  • AE 152 Flight Mechanics I (along with Prof. K. Sudhakar)

2007

Fall

  • AE 705: Introduction to flight

Summer

  • Short term course on Python for scientific computing (along with Dr. Eric Jones, Enthought, Inc. Austin, TX). This 4 day course is conducted at IITB between 16th-19th July 2007.

Spring

  • AE451 Numerical methods for engineers / AE771 Matrix computations

  • AE 152: Flight Mechanics I (along with Prof. S. D. Sharma).

  • HS 699: Communication and Presentation Skills: This is a humanities course but as the faculty advisor of the M.Tech's this year, Prof. Chatterjee and I have to examine and evaluate 50% of the grade for this course as well.

2006

Fall

  • AE 705: Introduction to flight

  • HS 699: Communication and Presentation Skills: This is a humanities course but as the faculty advisor of the PhD's this year, Prof. Chatterjee and I have to examine and evaluate 50% of the grade for this course as well.

Summer

  • AE 152: Flight Mechanics I (along with Prof. K. Sudhakar) : Instruction is between 9th May -- 30th June.

Spring

  • AE451 Numerical methods for engineers / AE771 Matrix computations: This course is an introduction to numerical methods and matrix computations. The emphasis of the course is to provide a general idea of the various methods and their pitfalls while giving one a hands-on feel for numerics. The Python programming language is taught and used for the course.