Veerababu Dharanalakota

@iisc.ac.in

Postdoctoral Fellow, Electrical Engineering
Indian Institute of Science

Veerababu Dharanalakota


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https://researchid.co/dveerababu
Dr. Veerababu Dharanalakota has been working in the field of Acoustics and Vibration. He obtained his master's degree from Indian Institute of Science, Bengaluru, and his Ph.D. degree from Indian Institute of Technology Hyderabad, India. Before joining the Ph.D. programme, he worked as an Assistant Manager in R&D at Bajaj Auto Limited in Pune, India. As part of his PhD work, he developed a semi-analytical method using Green's functions to study sound propagation in lined circular ducts. He received prestigious awards from the International Union for Pure and Applied Physics (IUPAP), the Acoustical Society of America (ASA), and the International Institute of Noise Control Engineering (I-INCE). He is currently a member of the Acoustical Society of India, ASA, IIAV, INCE-USA, AIAA, and IEEE. His expertise includes Computational Acoustics, Numerical Modelling, Scientific Machine Learning, and Numerical Optimization. Currently, he is working as a postdoctoral fellow at IISc Bangalore, India

EDUCATION

Jul 2015 – Oct 2020 PhD in Acoustics, Indian Institute of Technology Hyderabad, India
Dept. of Mechanical and Aerospace Engineering
Dissertation: Green’s function approach to predict the acoustic performance of circular expansion chamber with concentric liners
Cumulative GPA: 9.8/10
Aug 2011 – Jun 2013 ME in Acoustics, Indian Institute of Science, Bengaluru, India
Dept. of Mechanical Engineering
Dissertation: Flow-acoustic analysis and design of multiply-connected automotive mufflers
Cumulative GPA: 6.9/10 (First class)
Sep 2007 – May 2011 B. Tech in Mechanical Engineering
Jawaharlal Nehru Technological University, Kakinada, India
Aggregated Percentage: 75.9 % (First class with Distinction)
Jun 2005 – Apr 2007 Intermediate
Board of Intermediate Education, Andhra Pradesh, India
Aggregated Percentage: 95.2 % (A - Grade)
Jun 2004 – Apr 2005 Secondary School Certificate
Board of Secondary Education, Andhra Pradesh, India
Percentage: 89.3 % (First class)

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Artificial Intelligence, Acoustics and Ultrasonics, Modeling and Simulation
15

Scopus Publications

42

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Improving neural network training using dynamic learning rate schedule for PINNs and image classification
    Veerababu Dharanalakota, Ashwin Arvind Raikar, Prasanta Kumar Ghosh
    Machine Learning with Applications, 2025
    Training neural networks can be challenging, especially as the complexity of the problem increases. Despite using wider or deeper networks, training them can be a tedious process, especially if a wrong choice of the hyperparameter is made. The learning rate is one of such crucial hyperparameters, which is usually kept static during the training process. Learning dynamics in complex systems often requires a more adaptive approach to the learning rate. This adaptability becomes crucial to effectively navigate varying gradients and optimize the learning process during the training process. In this paper, a dynamic learning rate scheduler (DLRS) algorithm is presented that adapts the learning rate based on the loss values calculated during the training process. Experiments are conducted on problems related to physics-informed neural networks (PINNs) and image classification using multilayer perceptrons and convolutional neural networks, respectively. The results demonstrate that the proposed DLRS accelerates training and improves stability. • An algorithm is proposed to improve the efficiency of the network training process. • The method adjusts the learning rate based on the loss values. • Performance is tested against the standard backpropagation algorithm. • Algorithm is applied to solve PINNs, and image classification problems.
  • Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks
    D. Veerababu, Prasanta K. Ghosh
    Journal of Sound and Vibration, 2025
  • Prediction of Acoustic Field in 1-D Uniform Duct with Varying Mean Flow and Temperature Using Neural Networks
    Veerababu Dharanalakota, Prasanta K. Ghosh
    Journal of Theoretical and Computational Acoustics, 2025
    Neural networks constrained by the physical laws emerged as an alternate numerical tool. In this paper, the governing equation that represents the propagation of sound inside a one-dimensional duct carrying a heterogeneous medium is derived. The problem is converted into an unconstrained optimization problem and solved using neural networks. Both the acoustic state variables: acoustic pressure and particle velocity are predicted and validated with the traditional Runge-Kutta solver. The effect of the temperature gradient on the acoustic field is studied. Utilization of machine learning techniques such as transfer learning and automatic differentiation for acoustic applications is demonstrated.
  • Estimation of the Acoustic Field in a Uniform Duct with Mean Flow using Neural Networks
    D. Veerababu, Namra Quasim, Prasanta K. Ghosh
    International Journal of Acoustics and Vibrations, 2024
    The study of sound propagation in a uniform duct having a mean flow has many applications, such as in the design of gas turbines, heating, ventilation, and air conditioning ducts, automotive intake and exhaust systems, and the modeling of speech. In this paper, the convective effects of the mean flow on the plane wave acoustic field inside a uniform duct were studied using artificial neural networks. The governing differential equation and the associated boundary conditions form a constrained optimization problem. It is converted to an unconstrained optimization problem and solved by approximating the acoustic field variable to a neural network. The complex-valued acoustic pressure and particle velocity were predicted at different frequencies and validated against the analytical solution and the finite element models. The effect of the mean flow is studied in terms of the acoustic impedance. A closed-form expression that describes the influence of various factors on the acoustic field is derived.
  • Neural network based approach for solving problems in plane wave duct acoustics
    D. Veerababu, Prasanta K. Ghosh
    Journal of Sound and Vibration, 2024
  • Prediction of one-dimensional acoustic field with axial temperature gradient using neural networks
    Veerababu DHARANALAKOTA, Prasanta Kumar GHOSH
    53rd International Congress and Exposition on Noise Control Engineering Internoise 2024, 2024
    The study of sound propagation inside the ducts finds extensive application in aerospace, automobiles, speech, and biomedical sectors. This paper presents a neural network-based formulation to estimate the acoustic field inside a uniform duct with temperature gradient along the axial direction. The governing differential equation is derived from the momentum, energy, and state equations. The acoustic field is approximated with a feedforward neural network, and the problem is converted to an unconstrained optimization problem using the trial solution method. The training process is performed using the L-BFGS optimizer and the sine activation function. The acoustic field inside the duct is predicted up to 2000 Hz for linear and exponential temperature profiles. The predicted results are in good agreement with those obtained from the traditional Range-Kutta solver with a maximum relative error of 0.1%. Furthermore, the classical Helmholtz equation without the temperature gradient is solved using the developed neural network formulation. Using these results, a comparative study is conducted to understand the effect of the temperature gradient on the acoustic field inside the duct.
  • SOLUTION OF 1-D HELMHOLTZ EQUATION USING ARTIFICIAL NEURAL NETWORKS
    Proceedings of the International Congress on Sound and Vibration, 2023
  • Acoustic Modeling and Analysis of Automotive Air-Filters
    D. Veerababu, C. Sachin, P.V.S. Subhashini, B. Venkatesham
    International Journal of Acoustics and Vibrations, 2023
    Air filters are placed upstream of internal combustion engines to remove dust particles in the suction air. In this article, we examine the acoustic characterization of an air-filtering unit in the absence of mean flow. For this purpose, a circular air-filtering unit with an axial inlet and side outlet widely used in the automobile industry is considered. The air-filter element is modeled as an equivalent acoustic fluid with finite flow resistivity. The flow resistivity of the region is estimated from the permeability of the filter paper and the geometrical arrangement of the paper folds (pleats) inside the air-filter element using an electrical analogy. A numerical model based on the finite element method (FEM) and an analytical model using classical one-dimensional plane wave analysis (1-D PWA) was developed. Experiments were carried out using an impedance tube to estimate transmission loss. A good correlation is observed between the FEM model and the experiments. The results obtained from the 1-D PWA are in reasonable agreement with those obtained from the other two methods.
  • A Green's Function Solution for Acoustic Attenuation by a Cylindrical Chamber with Concentric Perforated Liners
    D. Veerababu, B. Venkatesham
    Journal of Vibration and Acoustics, 2021
    In this study, a Green’s function-based semi-analytical method is presented to predict the transmission loss (TL) of a circular chamber having concentric perforated screens. Initially, the Green’s function is developed for a single-screen configuration as the summation of eigenfunctions of the inner pipe in the absence of the mean flow. The inlet and the outlet ports are modeled as oscillating piston sources. A transfer matrix is formulated from the velocity potential generated by the piston sources. The results obtained from the proposed method are validated with the numerical and analytical models and with the experimental results available in the literature. Later, the method has been extended to the double-screen configuration. The effect of the additional perforated screen on the TL is studied in terms of the surface impedance of the chamber. Along with grazing flow considerations, guidelines are provided to incorporate more concentric perforated screens into the formulation.
  • Transmission loss of lined Helmholtz resonator with annular air gap: A Green's function based approach
    D. Veerababu, B. Venkatesham
    Noise Control Engineering Journal, 2021
    The present article discusses a Green's function-based semi-analytical method to predict the transmission loss of a lined Helmholtz resonator with annular air gap. In the analysis, the walls of the chamber are assumed to be acoustically rigid except at the neck portion where it is treated as a piston source moving with uniform velocity. The Green's function is developed as the summation of eigenfunctions of the central duct. The cumulative effect of the lined portion and the annular air gap including the perforated screens is incorporated as the reflection coefficient in the eigenfunctions. By using the Kirchhoff-Helmholtz integral equation, the velocity potential generated by the piston inside the chamber is evaluated. A transfer matrix relating the acoustic pressure and volume velocity across the neck in the main duct is formulated. The effect of the neck length is included as an added inertance to the impedance in the transfer matrix. The results obtained from the proposed method are validated with the developed numerical models and the experimental data available in the literature. A parametric study has been conducted to investigate the effect of porosity of the perforated screens, thickness and flow resistivity of the absorptive material on the transmission loss of the chamber.
  • Evaluation of acoustic performance of multi-perforate lined chamber by means of green's function
    Advances in Acoustics Noise and Vibration 2021 Proceedings of the 27th International Congress on Sound and Vibration Icsv 2021, 2021
  • Green's function approach for the transmission loss of concentrically multi-layered circular dissipative chamber
    D. Veerababu, B. Venkatesham
    Journal of the Acoustical Society of America, 2020
  • Acoustic analysis of extended inlet/extended outlet concentric tube resonator using Green’s function
    Inter Noise 2018 47th International Congress and Exposition on Noise Control Engineering Impact of Noise Control Engineering, 2018
  • Three-dimensional acoustic analysis of concentric tube resonator using green's function
    24th International Congress on Sound and Vibration Icsv 2017, 2017
  • Numerical prediction of perforated tube acoustic impedance
    24th International Congress on Sound and Vibration Icsv 2017, 2017

RECENT SCHOLAR PUBLICATIONS

  • Improving neural network training using dynamic learning rate schedule for PINNs and image classification
    D Veerababu, AA Raikar, PK Ghosh
    Machine Learning with Applications 21, 100697 , 2025
    2025
    Citations: 11
  • Prediction of Acoustic Field in 1-D Uniform Duct with Varying Mean Flow and Temperature Using Neural Networks
    D Veerababu, PK Ghosh
    Journal of Theoretical and Computational Acoustics 33 (2), 2440003 , 2025
    2025
    Citations: 1
  • Physics-informed neural networks for predicting acoustic pressure inside ducts
    A Singh, D Veerababu, PK Ghosh
    IEEE International Conference on Acoustics, Speech, and Signal Processing 2025 , 2025
    2025
  • Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks
    D Veerababu, PK Ghosh
    Journal of Sound and Vibration 607, 119022 , 2025
    2025
    Citations: 6
  • Estimation of the Acoustic Field in a Uniform Duct with Mean Flow using Neural Networks
    D Veerababu, PK Ghosh
    International Journal of Acoustics and Vibration 29 (4), 391-399 , 2024
    2024
  • Prediction of one-dimensional acoustic field with axial temperature gradient using neural networks
    D Veerababu, PK Ghosh
    INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270 (6), 5930-5937 , 2024
    2024
  • Neural network based approach for solving problems in plane wave duct acoustics
    D Veerababu, PK Ghosh
    Journal of Sound and Vibration 585, 118476 , 2024
    2024
    Citations: 9
  • Acoustic modelling and analysis of automotive air-filters
    D Veerababu, C. Sachin, P. V. S. Subhashini, B. Venkatesham
    International Journal of Acoustics and Vibration 28 (4), 353–361 , 2023
    2023
    Citations: 1
  • Achieving stable convergence of neural networks for estimating acoustic field in uniform ducts
    D Veerababu, AA Raikar, PK Ghosh
    Acoustic 2023 Sydney 154 (4_supplement), A98-A98 , 2023
    2023
  • Loss-based optimizer switching to solve 1-D Helmholtz equation using neural networks
    D Veerababu, PK J, PK Ghosh
    Acoustic 2023 Sydney 154 (4_supplement), A98-A98 , 2023
    2023
    Citations: 1
  • Solution of 1-D Helmholtz equation using artificial neural networks
    D Veerababu, Prasanta K Ghosh
    International Congress on Sound and Vibration (ICSV) 29 , 2023
    2023
    Citations: 1
  • Scaling laws for acoustic duct performance measurement
    D Veerababu, B Shivateja, B Venkatesham
    50th National Symposium on Acoustics, NSA – 2023 , 2023
    2023
  • Evaluation of acoustic performance of multi-perforate lined chamber by means of Green's function
    D Veerababu, B Venkatesham
    International Congress on Sound and Vibration (ICSV) 27 , 2021
    2021
  • A Green’s function solution for acoustic attenuation by a cylindrical chamber with concentric perforated liners
    D Veerababu, B Venkatesham
    Journal of Vibration and Acoustics 143 (2), 021004 , 2021
    2021
    Citations: 2
  • Transmission loss of lined Helmholtz resonator with annular air gap: A Green's function based approach
    D Veerababu, B Venkatesham
    Noise Control Engineering Journal 69 (2), 112-121 , 2021
    2021
  • Green's function approach for the transmission loss of concentrically multi-layered circular dissipative chamber
    D Veerababu, B Venkatesham
    The Journal of the Acoustical Society of America 147 (2), 867-876 , 2020
    2020
    Citations: 7
  • Green’s Function Approach to Predict the Acoustic Performance of Circular Expansion Chamber with Concentric Liners
    V Dharanalakota
    IIT HYDERABAD , 2020
    2020
  • Acoustic Analysis of Extended Inlet/Extended Outlet Concentric Tube Resonator using Green's Function
    D Veerababu, V Balide
    INTER-NOISE and NOISE-CON Congress and Conference Proceedings 258 (5), 2170-2178 , 2018
    2018
  • Effect of shell compliance on the axial transmission loss of concentric tube resonator
    D Veerababu, V Balide
    13th Western Pacific Acoustics Conference, WESPAC2018 , 2018
    2018
  • Numerical prediction of perforated tube acoustic impedance
    G Pradeep, TT Raja, D Veerababu, B Venkatesham, S Ganesan
    International Congress on Sound and Vibration, ICSV24 4, 2361 – 2368 , 2017
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Improving neural network training using dynamic learning rate schedule for PINNs and image classification
    D Veerababu, AA Raikar, PK Ghosh
    Machine Learning with Applications 21, 100697 , 2025
    2025
    Citations: 11
  • Neural network based approach for solving problems in plane wave duct acoustics
    D Veerababu, PK Ghosh
    Journal of Sound and Vibration 585, 118476 , 2024
    2024
    Citations: 9
  • Green's function approach for the transmission loss of concentrically multi-layered circular dissipative chamber
    D Veerababu, B Venkatesham
    The Journal of the Acoustical Society of America 147 (2), 867-876 , 2020
    2020
    Citations: 7
  • Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks
    D Veerababu, PK Ghosh
    Journal of Sound and Vibration 607, 119022 , 2025
    2025
    Citations: 6
  • Three-dimensional acoustic analysis of concentric tube resonator using Green’s function
    D Veerababu, B Venkatesham
    International Congress on Sound and Vibration (ICSV) 24 4, 2305 – 2312 , 2017
    2017
    Citations: 3
  • A Green’s function solution for acoustic attenuation by a cylindrical chamber with concentric perforated liners
    D Veerababu, B Venkatesham
    Journal of Vibration and Acoustics 143 (2), 021004 , 2021
    2021
    Citations: 2
  • Prediction of Acoustic Field in 1-D Uniform Duct with Varying Mean Flow and Temperature Using Neural Networks
    D Veerababu, PK Ghosh
    Journal of Theoretical and Computational Acoustics 33 (2), 2440003 , 2025
    2025
    Citations: 1
  • Acoustic modelling and analysis of automotive air-filters
    D Veerababu, C. Sachin, P. V. S. Subhashini, B. Venkatesham
    International Journal of Acoustics and Vibration 28 (4), 353–361 , 2023
    2023
    Citations: 1
  • Loss-based optimizer switching to solve 1-D Helmholtz equation using neural networks
    D Veerababu, PK J, PK Ghosh
    Acoustic 2023 Sydney 154 (4_supplement), A98-A98 , 2023
    2023
    Citations: 1
  • Solution of 1-D Helmholtz equation using artificial neural networks
    D Veerababu, Prasanta K Ghosh
    International Congress on Sound and Vibration (ICSV) 29 , 2023
    2023
    Citations: 1
  • Physics-informed neural networks for predicting acoustic pressure inside ducts
    A Singh, D Veerababu, PK Ghosh
    IEEE International Conference on Acoustics, Speech, and Signal Processing 2025 , 2025
    2025
  • Estimation of the Acoustic Field in a Uniform Duct with Mean Flow using Neural Networks
    D Veerababu, PK Ghosh
    International Journal of Acoustics and Vibration 29 (4), 391-399 , 2024
    2024
  • Prediction of one-dimensional acoustic field with axial temperature gradient using neural networks
    D Veerababu, PK Ghosh
    INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270 (6), 5930-5937 , 2024
    2024
  • Achieving stable convergence of neural networks for estimating acoustic field in uniform ducts
    D Veerababu, AA Raikar, PK Ghosh
    Acoustic 2023 Sydney 154 (4_supplement), A98-A98 , 2023
    2023
  • Scaling laws for acoustic duct performance measurement
    D Veerababu, B Shivateja, B Venkatesham
    50th National Symposium on Acoustics, NSA – 2023 , 2023
    2023
  • Evaluation of acoustic performance of multi-perforate lined chamber by means of Green's function
    D Veerababu, B Venkatesham
    International Congress on Sound and Vibration (ICSV) 27 , 2021
    2021
  • Transmission loss of lined Helmholtz resonator with annular air gap: A Green's function based approach
    D Veerababu, B Venkatesham
    Noise Control Engineering Journal 69 (2), 112-121 , 2021
    2021
  • Green’s Function Approach to Predict the Acoustic Performance of Circular Expansion Chamber with Concentric Liners
    V Dharanalakota
    IIT HYDERABAD , 2020
    2020
  • Acoustic Analysis of Extended Inlet/Extended Outlet Concentric Tube Resonator using Green's Function
    D Veerababu, V Balide
    INTER-NOISE and NOISE-CON Congress and Conference Proceedings 258 (5), 2170-2178 , 2018
    2018
  • Effect of shell compliance on the axial transmission loss of concentric tube resonator
    D Veerababu, V Balide
    13th Western Pacific Acoustics Conference, WESPAC2018 , 2018
    2018