SRF, CSIR-CSIO Chandigarh                                                                 Jan 2021 – Jan 2024

• Advanced Monitoring and Prediction of Anomalies in Ultra-Precision Machining Processes:

• Real-time monitoring using vibrational sensor signal using Convolutional neural networks.
• Development of optimal feature extraction using Mel-frequency cepstral coefficients and machine learning for prediction o machining status.
• Vibrational signal processing using wavelet transforms for tool wear analysis in diamond turning development.
• 3D printing and prototyping for precision applications.
• Analysis in optical and mechanical fabrication using Profilometer for surface finish quality
• Digital twin for quality improvements in manufacturing using GANs and deep

JRF, CSIR-CSIO Chandigarh                                                                 January 2019 – January 21

• Simulation-based Investigation on Ultra-Precision Machining of Additively Manufactured Ti-6Al-4V ELI Alloy:

• 3D printing of Titanium alloy and post-processing of the samples.
• Development of finite element model using Explicit and Implicit analysis by commercial Abaqus.
• Use of user-defined Subroutine include VUMAT, DFLUX, UHARD for laser polishing applications.
• Analysis cutting forces and chip formation of additively manufactured Titanium alloy for surface finish quality

Undergraduate Trainee, Hyundai Motors, Chennai                       Dec 2017 – Feb 2018

• Actively involved in the Blue Contact project

• Improved cylinder valve-seat contact through precise modification of the reference head bolt hole during the drilling process.
• Successfully reduced production losses related to valve-seat contact issues.
• Achieved a noteworthy revenue increase of 1.4% for the plant

• Manjunath, K., Tewary, Suman, Khatri, Neha, & Cheng, Kai. (2023). Monitoring of machining process anomalies in diamond turning of Ti6Al4V alloy using transfer learning-based Computers & Industrial Engineering, 109359. (IF: 7.9).
• Manjunath, K., Tewary, Suman, Khatri, Neha, & Cheng, Kai. (2023). In-process monitoring of the ultraprecision machining process with convolution neural International Journal of Computer Integrated Manufacturing, 1-18. (IF: 4.4)
• Manjunath, K., Tewary, Suman, Khatri, Neha, & Cheng, Kai. (2021). Monitoring and predicting the surface generation   and    surface    roughness    in    ultraprecision    machining:    A    critical Machines, 9(12), 369. (IF: 2.6)
• Manjunath, K., Tewary, Suman, Khatri, Neha, & Cheng, Kai. (2023). “Simulation-based Investigation on Ultra- Precision Machining of Additively manufactured Ti-6Al-4V ELI alloy and the Associated Experimental Study” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Mechanical Engineering Science (IF: 6)
• Manjunath, K., Tewary, Suman, Khatri, Neha, & Cheng, Kai. (2023) “Discreet wavelet transforms analysis of vibration signal for correlating tool wear in diamond turning of Additively manufactured Ti-6Al-4V alloy” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Mechanical Engineering Science (IF: 6)
• Manjunath, K., Tewary, Suman, Khatri, Neha, & Cheng, Kai. (2022). Precipitation effect on Surface roughness at Ti-6Al-4 V ELI alloy during Ultra-Precision International Journal on Interactive Design and Manufacturing (IJIDeM), 1-9. (IF: 2.1)
• Khatri, Neha, Sonam Berwal, Manjunath, and Bharpoor Singh. “Optical design and fabrication of zinc selenide microlens array with extended depth of focus for biomedical imaging.” Nanofabrication 8 (2023). (IF: 2.9)
• Khatri, N., Berwal, S., Manjunath, K., Singh, B., Mishra, V., & Goel, S. (2023). Research on development of aspheric diffractive optical element for mid-infrared imaging. Infrared Physics & Technology, 129, 104582. (IF: 3)
• Neha Khatri, Borad M Barkachary, Sachin Singh, Manjunath K, Nitish Chandra, Anupam Agrawal and Saurav Goel “Diamond machining of additively manufactured Ti6Al4V ELI: Newer mode of material removal challenging the current simulation tools” Journal of Manufacturing process (IF: 6.2)
• Manjunath, K., Tewary, Suman, Khatri, Neha. (2022). Surface roughness prediction in milling using long-short term memory Materials Today: Proceedings, 64, 1300-1304.
• Manjunath, K., Tewary, S., Khatri, N., & Cheng, K. (2024, February). Effect of precipitation on surface roughness in ultra-precision machining of Ti6Al4V ELI alloy fabricated by selective laser melting. In AIP Conference Proceedings (Vol. 2986, No. 1). AIP Publishing.
• Khatri N, Singh B, Manjunath K, and Berwal S, “An Investigation on Manufacturing and Measurement of Toroidal surface,” in Optica Design and Fabrication Congress 2023 (IODC, OFT), Technical Digest Series (Optica Publishing Group, 2023), paper OTu3B.6.

Book Chapter:

• Neha Khatri, K Manjunath, Sonam Berwal, Wenjun Kang and Rongguang Liang “ultra-precision machining of optics”, Reference Module in Materials Science and Materials Engineering (Elsevier).

Under review:

• Manjunath, K, Suman Tewary, Neha Khatri, and Kai Cheng “In-process monitoring and prediction of machining status in ultraprecision diamond turning using Mel-frequency cepstral coefficient approach combined with machine learning” (under review) Journal of Intelligent Manufacturing.
• Manjunath, K, Suman Tewary, Neha Khatri, and Kai Cheng “Prediction of surface roughness in ultra-precision machining of titanium using long-short term memory modelling” Journal of Manufacturing process (Communicated).

Conference Presentations:

• Manjunath, K, Suman Tewary, Neha Khatri, and Kai Cheng “Generative adversarial network-based anomaly detection in diamond turning with imbalanced data” at EUSPEN 24^th International conference, University college of Dublin – 2024 (Accepted).
• Sonam Berwal, K Manjunath, Bharpoor Singh and Neha Khatri “Toric Eyeglasses for Correction of Astigmatism in Indian Eyes”, at Women in photonics, Jena -2023 (Accepted)
• Presented research on “Time-frequency analysis of vibration signals for monitoring the process status in Ultra-Precision machining of complex components” at the EUSPEN Special Interest Group (SIG) on Structured & Freeform Surfaces 2022, University of Huddersfield, UK (September 2022).
• Received the Best Paper Award for presenting research on “Monitoring of process drifts in diamond turning using time-frequency analysis based deep learning” at the Indo-UK conference on advanced manufacturing process (February 2023).
• Received the Best Paper Award for research on “Surface Roughness prediction in milling using Long-Short Term Memory modelling” at ITME-2021 organized by KIET in collaboration with LSBU, London (December 2021).
• Presented research on “Effect of Precipitation on surface roughness in ultra-precision machining of Ti6Al4V ELI alloy fabricated by selective laser melting” at ICFMMP-2022, LPU Punjab (July 2022).

Poster Presentations:

• Sonam Berwal, Bharpoor Singh, K Manjunath, Neha Khatri “Design and Fabrication of Microlens Array for Confocal Laser Scanning Microscopy”, Conference on Optics, Photonics & Quantum Optics, IITRoorkee (Poster Presentation), 10-13 Nov, 2022.
• K Manjunath, Bharpoor Singh, Vishal Rana, Debadutta Acharjya, Sonam Berwal and Neha Khatri “Trends in Predictive Maintenance for Aircraft system using Machine learning”, National conference on Avionics Technologies and Display system, CSIO Chandigarh. 27 June 2023.
• K Manjunath, Suman Tewary, Aprna Akula “Analysis of Flank Wear and its Parameters Using Computer Machine Vision System”, IEEE CSIO student Chapter.

• Received Brunel Fellowship Academy short-term visiting fellowship to Brunel University London.
• Received CSIR-GATE fellowship including contingency funds from the CSIR-Human Resources Development Group (HRDG), Ministry of Science and Technology Government of India, during Integrated dual degree program at CSIO, Chandigarh
• Best Paper Award for research on “Monitoring of process anomalies in Ultra-precision machining” in Indo-UK conference on advanced manufacturing process IEc-Advamap -2023.
• Awarded first prize in the Quiz at Indian workshop on Applied Deep Learning workshop (IWADL-2023) at BITS, Goa Campus.
• Best Paper Award for research on “Surface Roughness prediction in milling using Long-Short Term Memory modeling” at ITME-2021 in Collaboration with London South Bank University.
• Recognized for impactful presentations at international conferences, EUSPEN (University of Huddersfield (2022), University College Dublin (Accepted), SPIE-WIP (Jena-2023), Optica Design and Fabrication Congress (Qubec-2023).
• Best model award for letter writing robots in SAMELLAN at JNTUA-2015
• Participated in Indo-US Robo league on Line-Following robots at IIT Bombay 2014, received first Prize in regional level Robotic competition.