Research

Ongoing:

• Spindle-mounted Vision-based On-machine Inspection System (TIH-iHub DRISHTI), 2024-2026

• Design and Development of Vision-based Robotised Inspection Station, Forbes Marshall India, 2024-2025

• Development of Indigenous Neonatal Transport Incubator with Novel Vital Measurement and onboard Oxygen Generator for Primary Health Centers (PHC), 2022-2024 (Student Awardee: Neha Nagarkoti, Mentors: Dr. Kaushal A Desai, IIT Jodhpur and Dr. Neeraj Gupta, AIIMS Jodhpur)

• Development of Vision System for Integration with Mass Manufacturing Line of Bearing Rollers (TIH-iHub DRISHTI), 2021-2024

Completed:

• Undergraduate Fellowship in the domain of Industrial Computer Vision (TIH-iHub DRISHTI), 2021-2022

• Development of Paired Neck Chamber Device for Assessment of Baroreflex Sensitivity, Department of Science and Technology (DST), 2019-2021

• Compensation of Cutting-Force Induced and Fixture-Dependant Errors in CNC End Milling, Institute Seed Grant - IIT Jodhpur, 2017-2020

• Minimizing Deflection Induced Surface Errors in End Milling of Thin-Walled Components, Science and Engineering Research Board (SERB-DST), 2016-2019

• In-line vision inspection setup - Design Registration under the Indian Patent Office (Number: 393244-001) Journal No. 22/2024 dated 31/05/2024. (Co-Inventors: iHub Drishti Foundation, Swarit Anand Singh, and K. A. Desai)

• Control Panel Cabinet with Operator  Console Enclosure - Design Registration under the Indian Patent Office (Number: 393245-001) Journal No: 42/2023 dated 20/10/2023. (Co Inventors: iHub Drishti Foundation, Swarit Anand Singh, K. A. Desai, and Pratik C Sorathiya)

• Vision-based In-line Surface Defect Detection Algorithm and User Interface for Tapered Roller Inspection System (Computer Software Copyright) - Registered (Ref: SW-17758/2023) (Applicants: iHub Drishti Foundation, Indian Institute of Technology Jodhpur, Authors: Swarit Anand Singh, K A Desai, and Sahil J Choudhari)

• SAMIKSHAK 1.0 (Trademark) - Accepted and Advertised (Ref: 6075594) (Applicants: iHub Drishti Foundation, Inventors: Swarit Anand Singh, and K A Desai)

• Portable Image Acquisition System - Design Registration under the Indian Patent Office (Number: 354560-001) in class 16-01, Journal No. 03/2023. (Inventors: Swarit Anand Singh, Aitha Sudheer Kumar, K A Desai)

• Jaw Rehabilitation Device - Design Registration under the Indian Patent Office (Number: 354559-001) in class 24-01, Journal No. 52/2022 (Inventors: Priyanshu Raj Shrivastava, K A Desai)

• Aitha Sudheer Kumar, Ankit Agarwal, Vinita Gangaram Jansari, K A Desai, Chiranjoy Chattopadhyay, and Laine Mears, HG-XAI: Human-Guided Tool Wear Identification Approach through Augmentation of Explainable Artificial Intelligence with Machine Vision, Accepted for publication in Journal of Intelligent Manufacturing, Springer (2025).

• Swarit Anand Singh, K A Desai, Systematic approach determining lighting arrangement for vision-based in-line inspection of axisymmetric metallic components, Measurement, Elsevier, 256-A (2025), 118134.

• Pratik Sorathiya, K A Desai, Prathamesh Kamble, Suchitra Dube, Anagha Sahasrabuddhe, Chaitali A. Chindhalore, Mrunal Phatak, Ashwini Umredkar, Comparison of the Effects of Left, Right, and Bilateral Carotid Baroreceptor Stimulation on Autonomic and Hemodynamic Responses Using an Indigenously Developed Paired Neck Chamber Device, Cureus, Springer, 17(4), e82470.

• Darshan S., K A Desai, Abir Bhattacharyya, Physics-informed experimental design for neural network-based cutting force model in end milling of carbon fiber reinforced polymer composites, Journal of Manufacturing Processes, Elsevier, 142 (2025), 440-452. 

• Aitha Sudheer Kumar, Ankit Agarwal, Vinita Gangaram Jansari, K A Desai, Chiranjoy Chattopadhyay, and Laine Mears, Realizing On-machine Tool Wear Monitoring through Integration of Vision-based System with CNC Milling Machine, Journal of Manufacturing Systems, Elsevier, 78 (2025), 283-293.

• Sunidhi Dayam, K A Desai, Smart Tool Wear State and Chatter Onset Identification System for Legacy Manual Drilling Machine Operators, The International Journal of Advanced Manufacturing Technology, Springer, 136-2 (2025), 675-692.

• Shubham Vaishnav, Bhupesh Sharma, K A Desai, Enhancing Fidelity of Mechanistic Cutting Force Model using Hybrid Data Mining Approach, The International Journal of Advanced Manufacturing Technology, Springer, 135-11/12 (2024), 5515-5531.

• Sahil J Choudhari, Swarit Anand Singh, Aitha Sudheer Kumar, K A Desai, Image processing framework for in-process shaft diameter measurement on legacy manual machines, The International Journal of Advanced Manufacturing Technology, Springer, 135-9/10 (2024), 4323-4338.

• Swarit Anand Singh, Sahil J Choudhari, K A Desai, Augmenting human-guided progressive learning with machine vision systems for robust surface defect detection, Advanced Engineering Informatics, Elsevier, 62-D (2024), 102906.

• Swarit Anand Singh, B J Sujay, K A Desai, Exploring Feasibility of Vision-based Automated Evaluation during Laboratory Courses in Manufacturing, Manufacturing Letters, Elsevier, 41 (2024), 1624-1634.

• Swarit Anand Singh, Pratik C Sorathiya, and K A Desai, Mobile-Based augmented reality (AR) module for guided operations of CNC surface roughness machine, Manufacturing Letters, Elsevier, 35 (2023), 1255-1263.

• Aitha Sudheer Kumar, Sunidhi Dayam, and K A Desai, Wear monitoring solution for end mills using deep learning and mobile application, Manufacturing Letters, Elsevier, 35 (2023), 1127-1133.

• Vikansh Nath, Chiranjoy Chattopadhyay, and K A Desai, Development of image-based fast defect recognition and localization network (FDRLNet) for steel surfaces, Manufacturing Letters, Elsevier, 35 (2023), 958-964.

• Swarit Anand Singh, Aitha Sudheer Kumar, and K A Desai,  Vision-based System for Automated Image Dataset Labelling and Dimension Measurements on Shop Floor, Measurement, Elsevier, 216 (2023), 112980.

• Swarit Anand Singh, Aitha Sudheer Kumar, and K A Desai, Comparative Assessment of Common Pre-Trained CNNs for Vision-Based Surface Defect Detection of Machined Components, Expert Systems with Applications, Elsevier, 218 (2023), 119623. 

• Ankit Agarwal, Pratik C Sorathiya, Shubham Vaishnav, K A Desai, and Laine Mears, Design-as-a-Service (DaaS) Framework for Enabling Innovations in Small and Medium-Sized Enterprises (SMEs), Transactions of the ASME: Journal of Mechanical Design, ASME, 145-4 (2023), 044501.

• Vikansh Nath, Chiranjoy Chattopadhyay and K. A. Desai, NSLNet: An Improved Deep Learning Model for Steel Surface Defect Classification utilizing Small Training Datasets, Manufacturing Letters, Elsevier, 35 (2023), 39-42.

• Vikansh Nath, Chiranjoy Chattopadhyay and K. A. Desai, On Enhancing Prediction Abilities of Vision-Based Metallic Surface Defect Classification Through Adversarial Training, Engineering Applications of Artificial Intelligence, Elsevier, 117-A (2023), 105553. 

• Swarit Anand Singh and K. A. Desai, Automated Surface Defect Detection Framework using Machine Vision and Convolutional Neural Networks, Journal of Intelligent Manufacturing, Springer, 34-4 (2023), 1995-2011. 

• Shubham Vaishnav and K. A. Desai, Long Short-Term Memory (LSTM)-Based Cutting Depth Monitoring System for End Milling Operation, Transactions of the ASME: Journal of Computing and Information Science in Engineering, ASME, 22-5 (2022), 051001-1-13.

• Ayush Raina, Sanket Nakka, Mukul Bansal, K. A. Desai, S. V. Shah and, C. Venkatesan, Automated Configuration Design Framework for Payload Integration in Unmanned Aerial Vehicles, Engineering Optimization,   Taylor and Francis, 54-12 (2022), 2017-2033.

• Ankit Agarwal and K. A. Desai, Effect of Component Configuration on Geometric Tolerances during End Milling of Thin-Walled Parts, The International Journal of Advanced Manufacturing Technology, Springer, 118 (2022), 3617-3630.

• Sunidhi Dayam, K. A. Desai and, M. Kuttolamadom, In-Process Dimension Monitoring System for Integration of Legacy Machine Tools into the Industry 4.0 Framework, ASTM: Smart and Sustainable Manufacturing Systems, ASTM, 5-1 (2021), 242-263.

• Ankit Agarwal and K. A. Desai, Rigidity Regulation Approach for Geometric Tolerance Optimization in End Milling of Thin-walled Components, Transactions of the ASME: Journal of Manufacturing Science and Engineering, ASME, 143 (2021), 111006-1-13. 

• Ankit Agarwal and K. A. Desai, Modeling of Flatness Error in End Milling of Thin-walled Components, Proc. of IMechE Part B: Journal of Engineering Manufacture, SAGE, 235-3(2021), 543-554.

• Dhrumil Soni and K. A. Desai, Gaussian Approach–Based Cutting Force Coefficient Identification for Flat-End Milling Operation, The International Journal of Advanced Manufacturing Technology, Springer, 110 (2020), 3023–3034.

• Pratik V Paliwal, Prathamesh H Kamble, K. A. Desai, Rajesh Sharma and, Anish Singhal, Preliminary Design and Testing of Neck Chamber Device for Baroreflex Sensitivity Assessment, BMJ Innovations, BMJ, 6-4 (2020), 132-142

• Ankit Agarwal and K. A. Desai, Predictive Framework for Cutting Force Induced Cylindricity Error Estimation in End Milling of Thin-walled Components, Precision Engineering, Elsevier, 66 (2020), 209-219 

• Shubham Vaishnav, Ankit Agarwal, and K. A. Desai, Machine Learning-Based Instantaneous Cutting Force Model for End Milling Operation, Journal of Intelligent Manufacturing, Springer, 31-6 (2020), 1353-1366 

• Ankit Agarwal and K. A. Desai, Importance of Bottom and Flank Edges in Force Models for Flat-End Milling Operation, The International Journal of Advanced Manufacturing Technology, Springer,  107-3 (2020), 1437-1449 

• Manoj Malviya and K. A. Desai, Build Orientation Optimization for Strength Enhancement of FDM Parts Using Machine Learning Based Algorithm, Computer Aided Design and Applications, CAD Solutions LLC, 17-4 (2020), 783-796 

• Neha Arora, Ankit Agarwal, and K. A. Desai, Modelling of Static Surface Error in End-milling of Thin-Walled Geometries, International Journal of Precision Technology, Inderscience, 8-2/3/4 (2019), 107-123 

• Madhvendra Tiwari, Devanshu Kathrecha, Kuldeep Meena, K. A. Desai, and A. K. Plappally, Application of Low-Cost Natural Binders in Direct 3-D Printing of Sand Molds, In: Shunmugam M., Kanthababu M. (eds) Advances in Additive Manufacturing and Joining, Lecture Notes on Multidisciplinary Industrial Engineering, Springer, 2019, 337-345 

• Shricharana Shastry, Ritwik Avaneesh, K. A. Desai, and S. V. Shah, Optimal Design of a Stewart-Gough Platform for Multi-Directional Additive Manufacturing, In: Pande S., Dixit U. (eds) Precision Product-Process Design and Optimization, Lecture Notes on Multidisciplinary Industrial Engineering, Springer, 2018, 1-29 

• Darshan S., K. A. Desai, and Abir Bhattacharyya, Integrating Fiber Loading Effects in Mechanistic Force Model for Carbon Fiber Reinforced Polymer (CFRP) Composites, Proceedings of the 20th CIRP Conference on Modeling of Machining Operations (CIRP-CMMO), UMons and KU Leuven, Belgium, 133 (2025), pp 728-733.

• Shubham Vaishnav, Ankit Agarwal, Pratik C Sorathiya, K. A. Desai, Laine Mears, Research2Market Connect: Cloud-Based Platform to Connect Academic Research With SMEs for Accelerated Innovations, Proceedings of the ASME 2024 - International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC) (August 2024), Washington, DC, USA.

• Aitha Sudheer Kumar, Ankit Agarwal, Vinita Gangaram Jansari, K. A. Desai, Chiranjoy Chattopadhyay, Laine Mears, Vision-Based Tool Wear Classification During End-Milling of Inconel 718 Using a Pre-Trained Convolutional Neural Network, Proceedings of the ASME 2023 - International Mechanical Engineering Congress and Exposition (IMECE), Volume 3: Advanced Manufacturing (2023), New Orleans, Louisiana, USA. 

• Shubham Vaishnav, and K. A. Desai, Physics-Informed Machine Learning Model for In-Process Estimation of Cutter Runout Parameters in End Milling,  Proceedings of the ASME 2023 - 18th International Manufacturing Science and Engineering Conference, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability (2023), Rutgers University, New Jersey, USA.

• Sahil J. Choudhari, Sujay B. J., and K. A. Desai, Utilizing Vision-Based Object Detection Algorithms in Recognizing Uncommon Operating Conditions for CNC Milling Machine, Proceedings of the ASME 2023 - 18th International Manufacturing Science and Engineering Conference, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability (2023), Rutgers University, New Jersey, USA.

• Sunidhi Dayam, and K. A. Desai, Development of a Smart Supervision System for Achieving Chatter-free Manual Drilling Operation, Proceedings of the 19th CIRP Conference on Modeling of Machining Operations (CIRP- CMMO), KIT, Karlsruhe, Germany, 117 (2023), pp 371-377.

• Darshan S., K. A. Desai, and Abir Bhattacharyya, Neural Network-based Model Parameter Estimation for End Milling of Carbon Fiber Reinforced Polymer (CFRP) Composites, Proceedings of the 19th CIRP Conference on Modeling of Machining Operations (CIRP- CMMO), KIT, Karlsruhe, Germany, 117 (2023), pp 365-370.

• Shubham Vaishnav, and K. A. Desai, Machine Learning-Based Cutting Constant Estimation for Mechanistic Force Models of End Milling Operation, Proceedings of the ASME 2022 - 17th International Manufacturing Science and Engineering Conference, Volume 2: Manufacturing Processes; Manufacturing Systems (2022), West Lafayette, Indiana, USA.

• Sunidhi Dayam, and K. A. Desai, Digital Twin-Based Tool State Prognosis Model for Drilling Machines, Proceedings of the ASME 2022 - 17th International Manufacturing Science and Engineering Conference, Volume 2: Manufacturing Processes; Manufacturing Systems (2022), West Lafayette, Indiana, USA.

• Swarit Anand Singh, Aitha Sudheer Kumar, Pratik C. Sorathiya, K. A. Desai, Vision-Sensor Fusion-Based Low-Cost Dimension Measurement System for Machining Shop Floor, Proceedings of the ASME 2022 - 17th International Manufacturing Science and Engineering Conference. Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing (2022), West Lafayette, Indiana, USA.

• Sahil J Choudhari, Swarit Anand Singh, Aitha Sudheer Kumar, K. A. Desai,  Machine Setup Abnormality Detection Using Machine Vision and Deep Learning, Proceedings of the ASME 2022 - 17th International Manufacturing Science and Engineering Conference. Volume 1: Additive Manufacturing; Biomanufacturing; Life Cycle Engineering; Manufacturing Equipment and Automation; Nano/Micro/Meso Manufacturing (2022), West Lafayette, Indiana, USA.

• Ankit Agarwal, and K. A. Desai, Amalgamation of Physics-Based Cutting Force Model and Machine Learning Approach for End Milling Operation,  53rd CIRP Conference on Manufacturing System (CIRP CMS) 2020, Chicago, USA, Elsevier, 93(2020), pp 1405-1410

• Ankit Agarwal, and K. A. Desai, Tool and Workpiece Deflection Induced Flatness Errors in Milling of Thin-walled Components, 53rd CIRP Conference on Manufacturing System (CIRP CMS) 2020, Chicago, USA, Elsevier, 93(2020), pp 1411-1416

• Ankit Agarwal, and K. A. Desai, Effect of Workpiece Curvature on Axial Surface Error Profile in Flat End-Milling of Thin-walled Components, 48th SME North American Manufacturing Research Conference (SME NAMRC 48), Cincinnati, USA, Elsevier, 48 (2020), pp 498-507