A Firm Real-Time System Implementation using Commercial Off-the-Shelf Hardware and Free Software. - Balaji Srinivasan; Shyamalan Pather; Robert Hill; Furquan Ansari; Douglas Niehaus (IEEE Real Time Technology and Applications Symposium, 1998)

Hierarchical Error Detection in a Software Implemented Fault Tolerance (SIFT) Environment. - Saurabh Bagchi; Balaji Srinivasan; Keith Whisnant; Zbigniew Kalbarczyk; Ravishankar K. Iyer (IEEE Trans. Knowl. Data Eng., 2000)

Definitions of Managed Objects for the General Switch Management Protocol (GSMP). - Hans Sjostrand; Joachim Buerkle; Balaji Srinivasan (RFC, 2002)

Design of a flash-based reference voltage generator for drain bias circuit. - Rezaul Haque; Kerry Tedrow; Balaji Srinivasan (IET Circuits Devices Syst., 2007)

An improved gas-kinetic BGK finite-volume method for three-dimensional transonic flow. - Georg May; Balaji Srinivasan; Antony Jameson (J. Comput. Phys., 2007)

Countering Atmospheric Turbulence in Free Space Optical Links Using Wavelet Based Signal Processing. - Latsa Babu Pedireddi; Balaji Srinivasan (GLOBECOM, 2008)

0.35µ, 1 GHz, CMOS Timing Generator Using Array of Digital Delay Lock Loops. - Balaji Srinivasan; Vinay Bhaskar Chandratre; Menka Tewani (VLSI Design, 2008)

Implementation of a low cost short-haul optical wireless link. - Arnab Bhattacharya 002; Sudheer Sreedhara Krishna; Balaji Srinivasan; Shubhadip Dasgupta (ICUMT, 2009)

Performance evaluation of a pneumatic-based micromixer for bioconjugation reaction. - Balaji Srinivasan; Ju Seok Lee; Jacob Hohnbaum; Steve Tung; Jin-Woo Kim 001 (NEMS, 2010)

Investigation of a PDMS based micromixer for heterogeneous immunoassays of insulin. - Zhikun Zhan; Yanli Qu; Shuai Wang; Zaili Dong; Balaji Srinivasan; Steve Tung; Wen Jung Li (NEMS, 2010)

An Improved High Resolution CMOS Timing Generator Using Array of Digital Delay Lock Loops. - Balaji Srinivasan; Vinay Bhaskar Chandratre (VLSI Design, 2010)

Multi-Phase 1 GHz Voltage Doubler Charge Pump in 32 nm Logic Process. - Dinesh Somasekhar; Balaji Srinivasan; Gunjan Pandya; Fatih Hamzaoglu; Muhammad M. Khellah; Tanay Karnik; Kevin Zhang 001 (IEEE J. Solid State Circuits, 2010)

Characterization of atmospheric turbulence effects and their mitigation using wavelet-based signal processing. - Latsa Babu Pedireddi; Balaji Srinivasan (IEEE Trans. Commun., 2010)

Low-voltage metal-fuse technology featuring a 1.6V-programmable 1T1R bit cell with an integrated 1V charge pump in 22nm tri-gate process. - Sarvesh H. Kulkarni; Zhanping Chen; Balaji Srinivasan; Brian Pedersen; Uddalak Bhattacharya; Kevin Zhang 001 (VLSIC, 2015)

WEB-Spline-based mesh-free finite element approximation for p-Laplacian. - Sudhakar Chaudhary; Vimal Srivastava; V. V. K. Srinivas Kumar; Balaji Srinivasan (Int. J. Comput. Math., 2016)

A High-Density Metal-Fuse Technology Featuring a 1.6 V Programmable Low-Voltage Bit Cell With Integrated 1 V Charge Pumps in 22 nm Tri-Gate CMOS. - Sarvesh H. Kulkarni; Zhanping Chen; Balaji Srinivasan; Brian Pedersen; Uddalak Bhattacharya; Kevin Zhang 001 (IEEE J. Solid State Circuits, 2016)

The versatility of an entropy inequality for the robust computation of convection dominated problems. - Balaji Srinivasan; Vivek Kumar (ICCS, 2017)

Empirical model for combinatorial data center network switch design. - Ganesh Chennimala Sankaran; Pachava Srinivas; Balaji Srinivasan; Krishna M. Sivalingam (CoRR, 2017)

Detection of Guided Waves in a Composite Plate Using Surface Bonded Fiber Bragg Gratings Sensor. - Tabjula L. Jagadeeshwar; Prabhu Rajagopal; Balaji Srinivasan (IEEE SENSORS, 2018)

Enhanced Image Classification With Data Augmentation Using Position Coordinates. - Avinash Kori; Ganapathy Krishnamurthi; Balaji Srinivasan (CoRR, 2018)

Towards a unified framework for developing ethical and practical Turing tests. - Balaji Srinivasan; Kushal Shah (AI Soc., 2019)

Distributed physics informed neural network for data-efficient solution to partial differential equations. - Vikas Dwivedi; Nishant Parashar; Balaji Srinivasan (CoRR, 2019)

Modelling pressure-Hessian from local velocity gradients information in an incompressible turbulent flow field using deep neural networks. - Nishant Parashar; Sawan S. Sinha; Balaji Srinivasan (CoRR, 2019)

A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. - Mahendra Khened; Avinash Kori; Haran Rajkumar; Balaji Srinivasan; Ganapathy Krishnamurthi (CoRR, 2020)

Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability. - Avinash Kori; Parth Natekar; Ganapathy Krishnamurthi; Balaji Srinivasan (CoRR, 2020)

Physics Informed Extreme Learning Machine (PIELM)-A rapid method for the numerical solution of partial differential equations. - Vikas Dwivedi; Balaji Srinivasan (Neurocomputing, 2020)

Solution of Biharmonic Equation in Complicated Geometries With Physics Informed Extreme Learning Machine. - Vikas Dwivedi; Balaji Srinivasan (J. Comput. Inf. Sci. Eng., 2020)

Investigation on Impact of Magnetic Field on the Corona Discharge Activity in Punga Oil Using Fluorescent Fiber and UHF Sensor Techniques. - Srinivasan Murugesan; A. J. Amalanathan; Ramanujam Sarathi; Balaji Srinivasan; Ravi Samikannu (IEEE Access, 2021)

Numerical Approximation in CFD Problems Using Physics Informed Machine Learning. - Siddharth Rout; Vikas Dwivedi; Balaji Srinivasan (CoRR, 2021)

Distributed learning machines for solving forward and inverse problems in partial differential equations. - Vikas Dwivedi; Nishant Parashar; Balaji Srinivasan (Neurocomputing, 2021)

Impact of Surfactants on the Electrical and Rheological Aspects of Silica Based Synthetic Ester Nanofluids. - S. K. Amizhtan; A. J. Amalanathan; Ramanujam Sarathi; Balaji Srinivasan; Ramesh L. Gardas; Hans Edin; Nathaniel Taylor (IEEE Access, 2022)

A Normal Equation-Based Extreme Learning Machine for Solving Linear Partial Differential Equations. - Vikas Dwivedi; Balaji Srinivasan (J. Comput. Inf. Sci. Eng., 2022)

Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach. - Vivek Oommen; Balaji Srinivasan (J. Comput. Inf. Sci. Eng., 2022)

PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation. - Vikas Dwivedi; Balaji Srinivasan; Ganapathy Krishnamurthi (CoRR, 2023)

Transfer physics informed neural network: a new framework for distributed physics informed neural networks via parameter sharing. - Sreehari Manikkan; Balaji Srinivasan (Eng. Comput., 2023)

Device dependent distortion correction in time-stretch photonic analog to digital converters using deep neural networks. - Mandeep Singh; Joydip Dutta; Sreeraj S. J; Viswanathan Sankar; Balaji Srinivasan; Lakshmi Narasimhan Theagarajan; Deepa Venkitesh (OFC, 2024)

Kernel-Adaptive PI-ELMs for Forward and Inverse Problems in PDEs with Sharp Gradients. - Vikas Dwivedi; Balaji Srinivasan; Monica Sigovan; Bruno Sixou (CoRR, 2025)

Eig-PIELM: A Mesh-Free Approach for Efficient Eigen-Analysis with Physics-Informed Extreme Learning Machines. - Rishi Mishra; Smriti; Ganapathy Krishnamurthi; Balaji Srinivasan; Sundararajan Natarajan (CoRR, 2025)