13 citations · 27 across the 10 of their papers we have counts for
10 papers
Upstream flow geometries can be uniquely learnt from single-point turbulence signatures
Mukesh Karunanethy, Raghunathan Rengaswamy, Mahesh V Panchagnula
We test the hypothesis that the microscopic temporal structure of near-field turbulence downstream of a sudden contraction contains geometry-identifiable information pertaining to…
User authentication system based on human exhaled breath physics
Mukesh Karunanethy, Rahul Tripathi, Mahesh V Panchagnula +1
This work, in a pioneering approach, attempts to build a biometric system that works purely based on the fluid mechanics governing exhaled breath. We test the hypothesis that the s…
Designing biological circuits: from principles to applications
Debomita Chakraborty, Raghunathan Rengaswamy, Karthik Raman
Genetic circuit design is a well-studied problem in synthetic biology. Ever since the first genetic circuits -- the repressilator and the toggle switch -- were designed and impleme…
CDiNN -Convex Difference Neural Networks
Parameswaran Sankaranarayanan, Raghunathan Rengaswamy
Neural networks with ReLU activation function have been shown to be universal function approximators and learn function mapping as non-smooth functions. Recently, there is consider…
Proof for frequency response analysis using chirp signals
Resmi Suresh, Raghunathan Rengaswamy
Hundreds of applications utilize frequency response characterization of a system. Identification of frequency response requires long experimentation time, use of transformation tec…
Incorporating prior knowledge about structural constraints in model identification
Deepak Maurya, Sivadurgaprasad Chinta, Abhishek Sivaram +1
Model identification is a crucial problem in chemical industries. In recent years, there has been increasing interest in learning data-driven models utilizing partial knowledge abo…
Integrated bio-electrochemical model for a micro photosynthetic power cell
Hemanth Kumar Tanneru, Resmi Suresh M. P, Aravind Vyas Ramanan +6
A simple first-principles mathematical model is developed to predict the performance of a micro photosynthetic power cell (PSC), an electrochemical device which generates electr…
Optimal Power Distribution Control for a Network of Fuel Cell Stacks
Resmi Suresh M P, Ganesh Sankaran, Sreeram Joopudi +3
In power networks where multiple fuel cell stacks are employed to deliver the required power, optimal sharing of the power demand between different stacks is an important problem.…
Origins of periodic and chaotic dynamics in microfluidic loop devices
Jeevan Maddala, Siva A. Vanapalli, Raghunathan Rengaswamy
Droplets moving in a microfluidic loop device exhibit both periodic and chaotic behaviors based on the inlet droplet spacing. We propose that the periodic behavior is an outcome of…
Drop Traffic in Microfluidic Ladder Networks with Fore-Aft Structural Asymmetry
Jeevan Maddala, William S. Wang, Siva A. Vanapalli +1
We investigate the dynamics of pairs of drops in microfluidic ladder networks with slanted bypasses, which break the fore-aft structural symmetry. Our analytical results indicate t…