Dr. Narsing Kumar Jha
Assistant Professor, IIT Delhi
PhD: IISc Bangalore
PostDoc: DAMTP Cambridge, and
Weizmann Institute of Science

The FE²B group is part of the Department of Applied Mechanics, IIT Delhi. Our research focuses on understanding how fluid mechanics governs and influences problems in engineering, environmental systems, and biological contexts. Particularly, our focus is on turbulent, stratified, and elastic flows. We are a group of experimentalists with a strong inclination toward developing first-principles-based models and formulating new concepts for the following applications:

• Air curtain mixing dynamics, building flows, and air pollution
• Vortex ring-droplet interactions and energy extraction via vortex-induced vibrations
• Biofluidic models for cancer cell hemodynamics and airborne disease transmission
• Underwater acoustic signatures, drag reduction for green shipping, and viscoelastic channel flow turbulence
• Vortex-induced vibrations in dam gates, and dry granular mass flows during landslides

Prof. Narsing Kumar Jha leads this FE²B lab with a dedicated PhD, MSR, MTech, PGDIIT (NCW) students, project scientists, and BTech students. He is an Assistant Professor in the Department of Applied Mechanics at IIT Delhi. Previously, he was a PBC VATAT Postdoctoral Fellow at the Weizmann Institute of Science, Israel, working with Prof. Victor Steinberg on flow instabilities in complex fluids. Prior to that, he was a postdoc at the University of Cambridge, exploring air curtains for energy-efficient buildings with Prof. Paul Linden. He completed his PhD at IISc Bangalore, focused on two-phase turbulent flows with Prof. R. N. Govardhan.

Interested students seeking opportunities for Master’s or PhD studies are encouraged to contact Prof. Narsing Kumar Jha at narsingjha@am.iitd.ac.in.

Research

Kelvin-Helmholtz-like elastic instability in plane Poiseuille flow

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To investigate elastic instabilities in polymeric flows, I use a 2D channel with a 7:1 aspect ratio, 0.5 mm height, and a length of 1000 heights. Pressure drop measurements, Laser Doppler Velocimetry (LDV), and Particle Image Velocimetry (PIV) are employed to study drag and velocity. Elastic waves, nonlinear breakdowns leading to elastic turbulence, and coupling between elastic waves and turbulent states were observed. By analyzing wall friction and flow instabilities across varying Weissenberg numbers (Wi = polymer relaxation time/flow time), we identified distinct flow states and transitions, advancing my understanding of elastic turbulence and turbulent drag reduction mechanisms.

Effect of human passage on air curtain sealing effectiveness

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Air curtains minimize heat and mass exchange between cold and warm environments, reducing energy loss and improving comfort. Laboratory experiments studied the impact of a person passing through the curtain, showing decreased effectiveness with increased walking speed. Using dye visualization and time-resolved particle image velocimetry, we examined flow structure and entrainment caused by the curtain-wake interaction, finding the effect independent of travel direction. The feasibility for hospital room containment was evaluated, comparing lab results with real-scale measurements, Fluent simulations, and theoretical models. Additionally, we analyzed the impact of heavier curtain fluids on air curtain stability and effectiveness.

Origin of thin film circular hydraulic jump

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We have also worked on experimental investigation of the unsteady behavior of circular and two-dimensional hydraulic jump and developed a theoretical model. Surfactant, Acetic-acid, and Propanol are separately mixed in water to vary the surface tension and viscosity of the liquid so that we could study the effect of fluid properties on hydraulic jump.

Interaction of bubbles with vortical structures

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Bubbly turbulent flows involve complex interactions between bubbles and turbulence, influencing both bubble dynamics and flow structures. This thesis explores these interactions in three parts. First, the interaction of a single bubble with a vortex ring in water is studied as a simplified model of bubble-vortex interactions in turbulence. Next, single-bubble interactions in fully developed turbulent channel flows are examined. Finally, the dynamics of numerous bubbles injected into turbulent channels are investigated. Bubble motion and deformation are analyzed using high-speed visualization, while time-resolved Particle Image Velocimetry (PIV) and pressure drop measurements provide insights into the surrounding flow fields and turbulence modulation.

Flow physics of air curtains

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The flow due to air curtains presents a fascinating interplay of jet inertia and buoyancy forces. The relative strength of the transverse stack effect determines jet establishment and evolution. In FE2B, we combine experiments and simulations to study these flows, relevant to environmental sciences. Conductivity and density measurements estimate bulk fluid exchange, while particle image velocimetry captures flow evolution. Numerical modeling using RANS and LES provides three-dimensional velocity and density fields, complementing experimental data. Experiments offer time-resolved insights into transient flow patterns, enabling critical analysis when combined with simulations. This integrated approach reveals the complex physics governing air curtain flows.

Correlating indoor spatiotemporal CO₂ and pathogen quanta concentrations

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Ensuring adequate ventilation and maintaining a well-mixed indoor environment is essential for improving Indoor Air Quality (IAQ). However, increasing ventilation can also facilitate the transport of outdoor pollutants into indoor spaces, a significant concern in highly polluted urban areas. This research addresses this dichotomy by analyzing invisible airflow patterns within buildings, using spatiotemporal CO2 data as a proxy at the full-building scale, and integrating reduced-order modeling (ROM). Furthermore, the study investigates the interplay between the spatiotemporal dispersion of CO2, PM2.5, temperature, and relative humidity.

Underwater acoustic signatures

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Bubble dynamics and vortex interactions in liquids are fundamental phenomena responsible for sound generation in multiphase flows. When bubbles grow, detach, oscillate, deform, or collapse in water, they generate pressure fluctuations and induce complex flow structures such as vortices in their wake. These interactions play an important role in underwater acoustics, cavitation physics, and fluid–structure interactions. Understanding how bubble motion and the surrounding flow field produce acoustic emissions is therefore essential for interpreting sound generation mechanisms in many natural and engineering systems. Classical studies have primarily focused on the radial oscillation of bubbles using models such as the Rayleigh–Plesset equation, which describes how bubble expansion and collapse produce pressure waves in a liquid. Later theoretical developments, including Lighthill’s acoustic analogy and Howe’s vortex sound theory, demonstrated that unsteady vorticity and turbulent flow structures can also act as significant sources of sound. Experimental investigations using hydrophones, high-speed imaging, and flow visualization techniques have shown that events such as bubble detachment, shape oscillations, and wake vortex shedding can produce distinct acoustic signatures. However, many previous studies have analyzed either acoustic signals or flow-field dynamics independently. A key challenge in understanding bubble-generated sound is establishing a direct link between instantaneous bubble dynamics, wake vortex evolution, and the resulting acoustic emissions. In most experimental studies, synchronized measurements of bubble motion, flow-field structures, and acoustic pressure are rarely available. As a result, the mechanisms through which bubble shape oscillations, bubble–bubble interactions, and vortex formation influence acoustic spectra remain insufficiently understood. This research investigates the coupling between bubble dynamics, vortex wake structures, and acoustic emissions in water through synchronized experiments. High-speed shadowgraph imaging is used to capture bubble motion and deformation, while hydrophones measure the corresponding acoustic pressure signals. The analysis reveals that different bubble motion regimes—such as rectilinear, oscillatory, and zigzag motion—produce distinct acoustic characteristics. Strong acoustic pressure peaks are associated with bubble detachment, shape oscillations, and vortex shedding events. Spectral analysis further shows that dominant acoustic frequencies correspond to bubbling rates and wake interactions, indicating a strong relationship between bubble behavior and the emitted sound field. The findings contribute to a deeper understanding of sound generation in bubbly flows and provide insights that can improve underwater acoustic sensing, cavitation monitoring, and marine propulsion systems. The outcomes are also relevant for biomedical technologies involving bubble dynamics, such as ultrasound-assisted therapies and targeted drug delivery. Additionally, understanding bubble-induced acoustic signatures can aid in the development of quieter underwater vehicles and propulsion systems, contributing to stealth technologies in naval defence, where reducing detectable acoustic signatures is critical for submarine and underwater vehicle operations.

Dry granular mass flows during landslides

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Granular mass flows such as rock avalanches are widespread natural hazards that cause significant damage to infrastructure, ecosystems, and human life. Rock avalanches are particularly destructive due to their large volumes, rapid movement, and long runout distances on unconfined slopes. These flows behave as dry granular systems, where fragmented material creates air-filled pore spaces, making understanding their kinematics and morphology essential for predicting mobility and deposition. Previous studies have established that granular flows transition between frictional and collisional regimes depending on packing density and confinement. Laboratory flume experiments and optical imaging techniques have further enabled the study of flow regimes, spreading, and velocity fields. However, natural granular flows exhibit strong internal heterogeneity with stochastic density variations, while most studies rely on bulk or depth-averaged measurements that mask local behaviour. As a result, the relationship between local density, kinematics (velocity and acceleration), and evolving morphology—especially for shallow, unconfined slopes—remains poorly understood. To address this gap, my present study quantifies spatial density variations using image-based particle counting and correlates them with local kinematic quantities. Controlled flume experiments were conducted using monodisperse silica sand on an unchanneled inclined plane, and high-resolution imaging was used to map density regions and associated velocity and acceleration fields. Results show that granular kinematics are strongly governed by local spatial density: dilute regions exhibit higher velocities and accelerations, while dense regions experience greater friction and energy dissipation. Denser zones are more sensitive to slope inclination. Increasing slope enhances runout and acceleration while producing anisotropic spreading, with reduced longitudinal and increased lateral spread. Flow depth shows a bimodal temporal pattern, and runout at steeper slopes is governed primarily by mass translation. These findings improve understanding of density-controlled flow dynamics and support better prediction of rock avalanche behaviour for hazard mitigation.

Biofluidic models for cancer cell hemodynamics

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Introduction: Inertial microfluidics harnesses shear-gradient and wall-induced lift forces in laminar flow to drive particles and cells toward well-defined equilibrium positions. It has been observed that larger or stiffer objects experience stronger wall bias. The forces balance to form focused streams that enable high-throughput, label-free separation of cells by size or deformability. Problem Motivation & Research Gap: Understanding how cancer cells behave in flow is vital, as these cells must survive bloodstream shear, adhere to vessel walls, and invade new tissues. While inertial focusing has been studied for rigid spheres and a few model cell lines, it lacks comprehensive analysis across different cancer types. The role of cell stiffness, key to metastatic potential, is underexplored. Real-World Application: This knowledge enables the design of microfluidic platforms that separate soft, metastatic cells from stiffer blood cells without labels. Such devices could enrich circulating tumor cells for diagnostics, drug testing, or real-time analysis, offering rapid, non-invasive tools for cancer management.

Energy extraction from flow-induced motions (autorotation)

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The growing demand for sustainable and decentralized energy systems has accelerated research into novel mechanisms for extracting power from ambient fluid flows. Conventional turbine technologies often perform inefficiently in low-speed wind and water currents, motivating the exploration of alternative energy harvesting approaches based on fluid–structure interactions. Among these, vortex-induced motions of bluff bodies offer a promising pathway, where unsteady aerodynamic forces generated by vortex shedding can drive sustained motion and enable energy extraction. Current research investigates energy harvesting from vortex-induced motions using a simplified drag-based vertical axis turbine concept consisting of an autorotating rectangular flat plate mounted on a shaft through its mid-chord and placed in cross-flow. The system exploits wind- and water-induced autorotation to generate power, with a non-contact eddy-current damper used as a proxy for generator load. While vortex-induced vibrations and bluff-body interactions have been extensively studied in fluid-structure interaction literature, their application to efficient energy harvesting—particularly through freely rotating flat plates—remains relatively unexplored. Existing studies largely focus on oscillatory systems or conventional turbine configurations, leaving gaps in understanding the nonlinear dynamics of autorotation and the role of wake structures in governing power extraction. Motivated by these limitations, this research aims to characterize the dynamics of flat-plate autorotation, quantify the power coefficient as a function of key nondimensional parameters such as damping ratio, inertia ratio, Reynolds number, and tip-speed ratio, develop a physics-based nonlinear rotational model, and investigate the near-wake flow mechanisms responsible for energy transfer. Experiments were conducted in a controlled wind and water tunnel environment, where two-dimensional, two-component time-resolved particle image velocimetry (2D–2C TR-PIV) measurements were performed in the near wake to examine spatio-temporal flow structures associated with energy extraction. The study focuses on understanding vortex dynamics and the role of individual vortices and shear layers in governing the power coefficient using force and momentum partitioning approaches. The outcomes contribute toward the design of compact vortex-induced energy harvesters for low-speed wind and tidal environments, with potential extension to wind farm configurations and flexible turbine systems for improved renewable energy extraction.

Cloud microphysical processes

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Introduction to the Topic: Understanding the rapid growth of cloud droplets from approximately 10–50 μm remains a fundamental challenge in atmospheric science. Classical condensation theory alone cannot fully explain this rapid growth within the short timescales observed in warm clouds. Increasing evidence suggests that turbulence plays a crucial role in accelerating droplet growth through mechanisms such as clustering, preferential concentration, and enhanced collision rates. Literature: Previous studies have shown that turbulence can significantly influence droplet motion and interactions in clouds. Both numerical simulations and laboratory experiments indicate that turbulent eddies enhance droplet collision–coalescence processes. However, many experimental investigations are limited by insufficient spatial resolution or incomplete characterization of turbulence statistics, which restricts a detailed understanding of droplet–turbulence coupling. Problem Motivation: Despite substantial progress, the mechanisms through which turbulence accelerates droplet growth remain incompletely understood. A major difficulty lies in obtaining reliable measurements of turbulent flow structures and their interaction with dispersed particles under controlled conditions. Addressing this challenge is essential for improving the understanding of cloud microphysics and precipitation formation. Research Gaps: Although numerical simulations and theoretical studies have suggested that turbulence can enhance droplet collisions and help overcome the droplet growth bottleneck, experimental evidence under controlled turbulent conditions remains limited. In particular, reproducing cloud-like turbulent environments and obtaining well-resolved turbulence statistics simultaneously is challenging. As a result, the role of turbulence in accelerating droplet growth is not yet fully validated experimentally. Research Objectives: The present research aims to experimentally investigate turbulence characteristics relevant to cloud microphysical processes and establish reliable turbulence statistics under controlled laboratory conditions. Main Results with Conclusions: The study provides detailed turbulence characterization, including mean velocity profiles, RMS velocity fluctuations, and turbulence intensity. The results demonstrate stable turbulent flow conditions suitable for studying particle–turbulence interactions and confirm the ability to obtain statistically consistent turbulence measurements. Real-World Applications: Improved understanding of turbulence–particle interactions can contribute to better cloud modeling, enhanced weather and climate predictions, and improved representation of precipitation formation processes in atmospheric models.

Members

Principal Investigator

Narsing Kumar Jha

Assistant Professor

Department of Applied Mechanics, IIT Delhi

PhD Students

Abhijeet Singh

(Co-advised by Deepanshu Shirole)
Research Topic:
Experimental Investigations on Dry Granular Mass Flow using Flume based Physical Model

Bhramar Sanjay Pustode

(Co-advised by Amitabh Bhattacharya)
Research Topic:
Energy Extraction via vortex Induced Vibration

Kumar Saurabh

(Co-advised by V.K. Chalamalla)
Research Topic:
Drag Reduction Strategies for Green Shipping

Manoj Kumar Gupta

Research Topic:
Experimental Study of Interaction of Vortex Rings with Droplets

Sitaram Sahu

(Co-advised by Sachin Kumar B)
Research Topic:
Development of Bio-Fluidic Model to Study the Role of Hemodynamic Forces on Cancer Metastasis

Suraj Narayan Dhar

Research Topic:
Underwater Acoustic Signatures of Interaction of Bubbles and Vortices

Vamsi K Bankapalli

(Co-advised by Jay Dhariwal)
Research Topic: Synergetic impacts of spatiotemporal CO2 and PM2.5 dynamics on indoor airborne disease transmission

MS(Research) Students

Aditya Mishra

(Co-advised by Ajeet Kumar)
Research Topic:
Numerical Simulation and Physical Modelling of Vortex-Induced Vibrations in Dam Gates

Shubham Singal

Research Topic:
Aerodynamic mechanisms responsible for autorotation of a flat plate

Project Associates

Kiran Kandel

Research Topic:
Drag reduction via the bubble impingement method in ships

PG students

Aditya Suryawanshi

Research Topic:
Design of an optimized array of cylinders to control wake dynamics and reduce drag

Digesh Tandel

Research Topic:
Role of turbulence on droplet growth

Alumni

FE²B Facilities

Experimental Facilities

Particle image velocimetry (PIV) measurements in air curtain flows

Acoustic measurement of compressed air bubble from a sintered nozzle using Hydrophone SONAR NEPTUNE

Flow visualization using time resolved µPIV in a 2D microchannel to study biofluid dynamics and flow instabilities

Study of circular hydraulic jump (CHJ)

Remotely operated underwater vehicle

Multiphase turbulent flow facility to study cloud microphysics

Research publications

Google Scholar

Prof. Narsing PhD Thesis (2015). PDF

Journals

Effects of lateral stratification on the dynamics of turbulent impinging line fountains (2026).
T. Agrawal, V. K. Chalamalla, and N. K. Jha
Journal of Fluid Mechanics (accepted for publication)

Interaction of a bubble with vortical structures in a horizontal turbulent channel flow (2026).
NK Jha, MI Gupta, RN Govardhan
Physics of Fluids 38 (1)

Experimental investigation of acoustically forced helium jet in crossflow using shadowgraphy and modal analysis (2025).
A Kumar, SR Sahu, NK Jha, A Sinha
Physics of Fluids 38 (11)

Implications of the spatiotemporal distribution of CO2 on indoor air quality: A field study with reduced-order modeling (2025).
V Bankapalli, NK Jha, J Dhariwal, S Srirangarajan
Building and Environment 269, 112451

Injectable Hydrogels for Liver: Potential for Clinical Translation (2025)
A Vasudevan, D Ghosal, SR Sahu, NK Jha, P Vijayaraghavan, Sachin Kumar, S Kaur
Chemistry–An Asian Journal 20 (2), e202401106

Performance and flow dynamics of heavy air curtains using experiments and numerical simulations (2024)
T Agrawal, S Agarwal, VK Chalamalla, NK Jha
Environmental Fluid Mechanics 24 (5), 875-898

Numerical investigation of air curtain flows in the doorway of a building using RANS and LES (2023)
T Agrawal, VK Chalamalla, NK Jha
Computers & Fluids 263, 105948

Air curtains: validation of results from small-scale laboratory waterbath experiments by real-scale measurements in climate chambers and numerical simulations (2022)
D Frank, NK Jha, FGH Koene, REJ Kemp, A Twerda, PF Linden
Energy and Buildings 277, 112538

Elastically driven Kelvin–Helmholtz-like instability in straight channel flow (2021)
NK Jha, V Steinberg
Proceedings of the National Academy of Sciences (PNAS) 118 (34), e2105211118

Contaminant transport by human passage through an air curtain separating two sections of a corridor: part I–Uniform ambient temperature (2021)
NK Jha, D Frank, PF Linden
Energy and Buildings 236, 110818

Contaminant transport by human passage through an air curtain separating two sections of a corridor: Part II–two zones at different temperatures (2021)
NK Jha, D Frank, PF Linden
Energy and buildings 236, 110728

Universal coherent structures of elastic turbulence in straight channel with viscoelastic fluid flow (2020)
NK Jha, V Steinberg
arXiv preprint arXiv:2009.12258

Effect of bubble distribution on wall drag in turbulent channel flow (2019)
NK Jha, A Bhatt, RN Govardhan
Experiments in Fluids 60 (8), 127

On the origin of the circular hydraulic jump in a thin liquid film (2018)
RK Bhagat, NK Jha, PF Linden, DI Wilson
Journal of Fluid Mechanics 851, R5

Interaction of a vortex ring with a single bubble: bubble and vorticity dynamics (2015)
NK Jha, RN Govardhan
Journal of Fluid Mechanics 773, 460-497

Controlling air solubility to maintain “Cassie” state for sustained drag reduction
D Dilip, NK Jha, RN Govardhan, MS Bobji
Colloids and Surfaces A: Physicochemical and Engineering Aspects 459, 217-224

Conference proceedings and abstracts:

Hyperlocal outdoor PM2.5 differential and its influence on indoor air quality.
Vamsi Bankapalli, NK Jha, and Jay Dhariwal, National Conclave on Nutrition and Climate goals 2026. (2026). Provided certificate of excellence and merit for winning the second-best poster award

Role of buoyancy-driven infiltration on indoor particulate accumulation.
Vamsi Bankapalli, NK Jha, and Jay Dhariwal, Proceedings of the National Conference on Fluid Mechanics and Fluid Power (FMFP 2025), Nirma University, Ahmedabad, India. (2025).

Bubble interaction dynamics and acoustic signature due to coalescence, impingement, and fragmentation.
Suraj D, NK Jha Proceedings of the National Conference on Fluid Mechanics and Fluid Power (FMFP 2025), Nirma University, Ahmedabad, India. (2025).

Mechanism of fluid infiltration and mixing in plane jets with applications to environmental flow.
T Agrawal, NK Jha, VK Chalamalla, Division of Fluid Dynamics Annual Meeting 2025. (2025).

Influence of salinity and surfactant on wake micro bubbles .
Suraj D, NK Jha India International symposium of Acoustics. (2025). Got best paper award

Full-scale spatiotemporal CO2 measurements as a proxy for understanding the airborne dispersion of infectious microbes in indoor environments.
Vamsi Bankapalli, Narsing K. Jha, Jay Dhariwal, Saran Raj K, Seshan Srirangarajan, Healthy Buildings 2025 Asia.

A reduced-order model to visualize transient passive scalar concentration distribution in indoor spaces.
Vamsi Bankapalli, Narsing K. Jha, Jay Dhariwal, Seshan Srirangarajan, Healthy Buildings 2025 Asia.

Energy Extraction from Fluid Flow via Autorotation of Flat Plate.
Bhramar Pustode, Amitabh Bhattacharya, Narsing Kumar Jha, Proceedings of the 11th International and 51st National Conference on Fluid Mechanics and Fluid Power (FMFP 2024), Aligarh Muslim University (AMU), Aligarh, India. (2024).

Influence of acoustic generation by wake bubbles .
Suraj D, NK Jha International conference on experimental Mechanics. (2024). Got best poster award

Velocity statistics of air curtain flows using LES and PIV.
Tanmay Agrawal, Narsing K. Jha, Vamsi K. Chalamalla Presented in the 1st European Fluid Dynamics Conference, EFDC1 held at RWTH University, Aachen, Germany in September 2024. (2024).

Towards understanding air curtain flows using RANS based numerical simulations.
Tanmay Agrawal, Narsing K. Jha, Vamsi K. Chalamalla Proceedings of the ISHMT-ASTFE Heat and Mass Transfer Conference, IIT Madras, Chennai, Tamil Nadu, India (2021).

On the origin of the circular hydraulic jump: a differential analysis.
P. F. Linden, R. K. Bhagat, N. K. Jha and D. I. Wilson, 21st Australasian Fluid Mechanics Conference; Adelaide, Australia (2018), PDF.

Effect of human walking on air curtain sealing in the doorway of an airtight building..
Narsing K. Jha, Lilian Darracq, Daria Frank, Paul F Linden, Air Infiltration and Ventilation Center (AIVC), Nottingham, UK (2017), PDF.

Effect of liquid surface tension on circular and linear hydraulic jumps; theory and experiments.
Rajesh Kumar Bhagat, Narsing K. Jha, Paul Linden, D I Wilson, APS Division of Fluid Dynamics Annual Meeting, Denver, Colorado (2017).

On the origin of hydraulic jump.
Rajesh Kumar Bhagat, Narsing K. Jha, Paul Linden, D I Wilson, UK Fluids 2018, University of Manchester, UK (2017).

A single bubble in a turbulent channel flow: Towards understanding drag reduction.
R. N. Govardhan, Narsing K. Jha, APS Division of Fluid Dynamics Annual Meeting, Portland, OR (2016).

Vorticity dynamics in the interaction of a single bubble with a vortex ring.
Narsing K. Jha, R. N. Govardhan, Journal of Fluid Mechanics APS Division of Fluid Dynamics Annual Meeting, Boston, MA (2015).

Interaction of a vortex ring and a bubble.
Narsing K. Jha, R. N. Govardhan, Journal of Fluid Mechanics APS Division of Fluid Dynamics Annual Meeting, San Francisco, CA (2014).

Vorticity and bubble dynamics of a vortex ring interacting with a bubble.
Narsing K. Jha, R. N. Govardhan, IUTAM Symposium on Multiphase flows with phase change: challenges and opportunities, IIT Hyderabad, India (2014).

Teaching

• Engineering Mechanics, APL100
• Mechanics of Solids and Fluids, APL105
• Mechanics of Fluids, APL107
• Engineering Thermodynamics, APL206
• Experimental Techniques in Fluids and Solids, APL390
• Solid & Fluids Lab, AMP262
• Applied Fluid Mechanics, AML713

Funding

Projects/Consultancies

May contact for consultancies related to flow measurement/device design, industrial flows, ships, non-Newtonian flows, micro fluidics, environmental flow, energy harvesting from flow etc.

Gallery

Collaborators

Raghuraman N. Govardhan

Professor, Department of Mechanical Engineering, Indian Institute of Science Bangalore

Paul F. Linden

G.I. Taylor Professor Emeritus of Fluid Mechanics, DAMTP, University of Cambridge, UK

Victor Steinberg

Emeritus Professor, Department of Physics of Complex Systems, Weizmann Institute of Science, Israel

Nishkarsh Gupta

MBBS, MD, DNB, PGCCHM, MNAMS, Professor, All India Institute of Medical Sciences, New Delhi

Navneet Kumar

Assistant Professor, Department of Mechanical Engineering, Indian Institute of Technology Jammu

Jay Dhariwal

Assistant Professor, Department of Design, Indian Institute of Technology Delhi

Seshan Srirangarajan

Assistant Professor, Department of Electrical Engineering, Indian Institute of Technology Delhi

Rama Krishna K

Assistant Professor, Department of Mechanical Engineering, Indian Institute of Technology Delhi

Sachin Kumar B

Assistant Professor, Centre for Biomedical Engineering, Indian Institute of Technology Delhi

Sanjeev Sanghi

Professor, Department of Applied Mechanics, Indian Institute of Technology Delhi

Ajeet Kumar

Professor, Department of Applied Mechanics, Indian Institute of Technology Delhi

Amitabh Bhattacharya

Professor, Department of Applied Mechanics, Indian Institute of Technology Delhi

Vamsi K. Chalamalla

Assistant Professor, Department of Applied Mechanics, Indian Institute of Technology Delhi

Murali R. Cholemari

Associate Professor, Department of Applied Mechanics, Indian Institute of Technology Delhi

Photos

Opportunities

I have openings for post-doc and JRF/project scientist. I strongly encourage dedicated students to contact me for their Masters or PhD study. My lab (Fluids lab for Environment, Engineering, and Biology: FE²B) focuses on Understanding Turbulence For Societal And Industrial Need: Two phase, Stratified And Elastic flows. We are basically a group of experimental enthusiasts interested in solving fluid dynamics problems. Interested students are encouraged to contact me personally at narsingjha@am.iitd.ac.in attaching resume and SOP.