Talk on "Complexity to Coherence: Leveraging Investigative Physiology® AI for Precision Health" by Prof. K V Venkatesh

Speaker Name: Prof. K. V. Venkatesh
Date: 04-02-2026 (Wednesday)
Time: 2:30 PM
Venue: LC102

Speaker Name: Prof. K. V. Venkatesh
Date: 04-02-2026 (Wednesday)
Time: 2:30 PM
Venue: LC102
Speaker Name: Dr. Ranjith Chiplunkar (Imperial College London)
Date: 28-01-2026 (Wednesday)
Time: 2:30 PM
Venue: LC102

Speaker Name: Prof. Nitash P. Balsara (University of California)
Date: 21-01-2026 (Wednesday)
Time: 5:15 PM
Venue: F.C. Kohli Auditorium, Kanwal Rekhi Building (KReSIT)
Speaker Name: Dr. Niladri Sekhar Mandal (Pennsylvania State University)
Date: 14-01-2026 (Wednesday)
Time: 2:30 PM
Venue: LC 102
In living organisms chemical patterns determine mechanical heterogeneity ultimately leading to formation of complex shapes starting from a simple shape. In this project we will develop a computational framework to simulate this with the long term goal of finding the minimal ingredient to design an artificial tissue.
In this project, we will adapt the Rouse model, that describes the dynamics of a flexible polymer to account for different chromatin architecture. Specifically, we will develop a framework to study the signature of chromatin architecture in the dynamics of one or few segments in the polymer,
In this project, we will begin from the mechanics of flexible polymer popularly known as Rouse model. We will adapt this model to demonstrate different architecture of chromatin. Specifically, we will study in detail what are the signature of chromatin architecture dynamics of one or few beads carry.
The project relates to pattern formation in a microfluidic network due to reacting and diffusing species. The objective is to estimate conditions under which Turing instabilities emerge in microfluidic networks. It involves mathematical modeling and computation.
Reference: Van Gorder RA. 2021 A theory of pattern formation for reaction–diffusion systems on temporal networks. Proc.R.Soc.A477: 20200753. https://doi.org/10.1098/rspa.2020.0753
We have developed a house-hold scale (16 litre), water purification device, based on nanoparticle-impregnated activated carbon (AC) composite, for disinfection of drinking water. It works by killing of microorganisms by metallic nanoparticles in the composite, whilst the AC part of the composite removes other organic and inorganic pollutants from water. This gives clean, drinking water, in our gravity-driven device, which does not need any electricity to flow water or kill microbes, as in a UV-lamp of a traditional filter, thereby saving energy.
Continuous monitoring of water quality parameters, like total dissolved solids, heavy metals, inorganic ions, organic pollutants etc.is an important measurement, to ascertain quality and use of a water body. This is critical for both a flowing water-stream (river, canal) or a stagnant water-pool, like a lake. To that end, in this project, one has to work with chemical reagants, which have been tested with both synthetic and field-water samples, for various species, like arsenic, fluoride, chromium, iron etc.