Bio


I am a first year PhD student in the Institute for Computational and Mathematical engineering at Stanford University. My research interests broadly lie in Linear Algebra and optimization. I have a bachelors degree (with Honours) in Chemical engineering from Indian Institute of Technology Madras, India. My undergraduate research was in the area of Computational Microfluidics. Also I did a summer research internship in Process Control at EPFL, Switzerland.

I was born and brought up in Neyveli, an industrial town in south India. I enjoy listening to Indian music and reading novels.

Education & Certifications


  • B.Tech (Honours), Indian Institute of Technology Madras, Chemical Engineering (2016)

Service, Volunteer and Community Work


  • Managerial team member, National Service Scheme, IIT Madras, Indian Institute of Technology Madras (May 1, 2013 - May 30, 2014)

    I served as a part of the team that organized and conducted lectures, discussions and various community service events at the IIT Madras chapter of the National Service Scheme, India. Multiple collection drives were organized and the collected food, clothes and other necessities were distributed to the needy through NGOs.

    Location

    IIT Madras, Chennai, India

  • Volunteer, IVil - IIT for Villages, Indian Institute of Technology Madras (September 1, 2012 - May 30, 2013)

    I volunteered with IVil (IIT for villages) with the objective to improve life in rural India through various social projects. We taught basic Science and English lessons to local children and also facilitated women self-help groups to outsource their projects through various projects.

    Location

    IIT Madras, Chennai, India

All Publications


  • On the role of hydrodynamic interactions in the engineered-assembly of droplet ensembles SOFT MATTER Raj, M., Gnanasekaran, A., Rengaswamy, R. 2019; 15 (39): 7863–75

    Abstract

    Droplets, as they flow inside a microchannel, interact hydrodynamically to result in spatio-temporal patterns. The nature of the interaction decides the type of collective behaviour observed. In this context, we study the application of droplet microfluidics in the area of complex-shape particle synthesis. We show how the dynamics of droplet motion, the steady-state characteristics, the short and long-range hydrodynamics, the dependence on inlet conditions etc. are all related to the features that characterize a device like the functionality (producing many shapes) and robustness (insensitivity to fluctuations). Two primary operating regimes are identified, one where long-range interactions are dominant and the other where they are short-range. In the former, the shapes formed by droplets are steady-state solutions to the governing equations, while in the latter they are a function of how the droplets enter the channel (frequency of entry). We show that identifying the inlet conditions for producing a particle of the desired shape requires the use of a systematic approach to design which involves solving an optimization problem (using genetic algorithms) to identify the optimal operating strategy. With the knowledge of the hydrodynamics between the droplets, we demonstrate how one can reduce the complexity of the design process. We also discuss the control strategies required if one were to realize the identified operating strategy experimentally.

    View details for DOI 10.1039/c9sm01528k

    View details for Web of Science ID 000496486700013

    View details for PubMedID 31531495