Critical Care Digital Twin - Pathway towards Affordable Healthcare FOF
Principal Investigator
Transforming Systems through Partnership India Grant 2025 (by invitation)
Funding Agency: Royal Academy of Engineering, UK
UK Partners: University of Cambridge, University College London
Digital Twins for Manufacturing Optimization
Principal Investigator
Industry Consultancy Project
Funding Agency: Kennametal Inc.
Critical Care Digital Twin - Pathway towards Affordable Healthcare
Principal Investigator
Transforming Systems through Partnership India Grant 2023
Funding Agency: Royal Academy of Engineering, UK
UK Partner: University of Cambridge
Charak Center for Digital Healthcare
Principal Investigator
Capacity Building in Cyber-Physical Systems 2024
Funding Agency: IITI DRISHTI CPS Foundation under National Mission on Inter-disciplinary Cyber-Physical Systems, Department of Science and Technology, India
Link: www.charak.center
Autonomous State Mapping and Inference (ASMI): Making Industrial Digital Twins Self-Aware
Principal Investigator
Young Faculty Research Seed Grant 2023
Funding Agency: IIT Indore
Autonomous Relationship Mapping in a Network of Industrial Digital Twins
Principal Investigator
Young Faculty Research Seed Grant - Dream Lab 2024
Funding Agency: IIT Indore
International Partner: Industry 4.0 Lab, Politecnico di Milano, Italy.
Method and System for Providing Smart Communications for Distributed Operations Planning in an Industrial Network
B. K. Lad, M. S. Kulkarni, V. Pandhare, N. Agrawal, K. Upasani, M. Bakshi
2016, Indian Patent Application No. 201621007003
Date of Filing: 29/02/2016
Date Published: 20/10/2017
Patent No: 511113
Monitoring System For Estimating the Useful Life Of A Machine Component
M. Azamfar, V. Pandhare, M. Miller, F. Li, P. Li, J. Singh, H. Davari, J. Lee, J. Sanders, K. Yamaguchi
(in partnership with Mazak North America)
2021, US Patent No. US- 20220187798- A1
Date of Filing: 15/12/2021
Date Published: 16/06/2022
Tool Condition Monitoring System
M. Azamfar, V. Pandhare, M. Miller, F. Li, P. Li, J. Singh, H. Davari, J. Lee, J. Sanders, K. Yamaguchi
(in partnership with Mazak North America)
2021, US Patent No. US- 20220187164- A1
Date of Filing: 15/12/2021
Date Published: 16/06/2022
Triboelectric nanogenerator-based Machine Skin Integrated with Smart Controller for Digital Twin Development
D. Jaurker, V. Pandhare, I. A., Palani, S. Joshi
2024, Indian Patent Application No. 202421017372
Date of Filing: 11/03/2024
Pandhare V., Negri E., Ragazzini L., Cattaneo L., Macchi M., Lee J., Digital Twin-enabled robust production scheduling for equipment in degraded state, Journal of Manufacturing Systems, 2024, vol. 74, pp. 841-857, https://doi.org/10.1016/j.jmsy.2024.04.027 | Impact Factor = 12.1
Chorge S., Kumar R., Kulkarni M. S., Pandhare V., Lad, B. K., Smart scheduling for next generation manufacturing systems: a systematic literature review, Journal of Intelligent Manufacturing, 2024, https://doi.org/10.1007/s10845-024-02484-2 | Impact Factor = 5.9
Pandhare V., Miller M., Vogl W. and Lee J., Ball Screw Health Monitoring with Inertial Sensors, IEEE Transactions on Industrial Informatics, vol. 19, no. 6, pp. 7323-7334, June 2023, https://doi.org/10.1109/TII.2022.3210999 | Impact Factor = 12.3
Pandhare V., Li X., Miller M., Jia X. and Lee J., Intelligent Diagnostics for Ball Screw Fault Through Indirect Sensing Using Deep Domain Adaptation, IEEE Transactions on Instrumentation and Measurement, 2021, vol. 70, pp. 1-11, https://doi.org/10.1109/TIM.2020.3043512 | Impact Factor = 5.6
Negri E., Pandhare V., Cattaneo L., Singh J., Macchi M. and Lee J., Field-synchronized Digital Twin framework for production scheduling with uncertainty, Journal of Intelligent Manufacturing, 2020, vol. 32, pp. 1207–1228, https://doi.org/10.1007/s10845-020-01685-9 | Impact Factor = 8.3
Upasani K., Bakshi M., Pandhare V., and Lad B. K., Distributed Maintenance Planning for Industry 4.0, Computers and Industrial Engineering, 2017, vol. 108, pp. 1-14, https://doi.org/10.1016/j.cie.2017.03.027 | Impact Factor = 7.9
Lee J., Davari H., Singh J., and Pandhare V., Industrial Artificial Intelligence for Industry 4.0-based Manufacturing Systems. Manufacturing Letters, 2018, vol. 18, pp. 20-23, https://doi.org/10.1016/j.mfglet.2018.09.002 | Impact Factor = 3.9
Upasani K., Bakshi M., Pandhare V., and Lad B. K., Memetic Algorithm to Optimize Preventive Maintenance Schedule for a Multi-component Machine, International Journal of Performability Engineering, vol. 12, No. 2, Mar. 2016, pp. 183-195, https://doi.org/10.23940/ijpe.16.2.p183.mag | Impact Factor = 1.44
Purushothaman V., Pandhare V., Computer Vision-based Learning for Event Modeling in Digital Twins, accepted and presented at the IEEE 18th Conference on Industrial and Information Systems (ICIIS), IIT Madras, 21-23 December 2024.
Bhat V., Gaekwad V., Kunte A., Sreenivasan A., Pandit S., Kumar H., Pandhare V., One-Class SVM Using Domain-Based sEMG Features for Detection of Neuromuscular Disorders, International Conference on Brain Computer Interface & Healthcare Technologies (iCon-BCIHT), Thiruvananthapuram, India, pp. 101-108, 2024, https://10.1109/iCon-BCIHT63907.2024.10882404.
Aarzoo, Ghosh A., Pandhare V., Bhattacharjee S., Agrawal D., Lad B. L., Expert-in-Loop Digital Twin-based Decision Support System for Early Detection of Ventilator-Induced Lung Injury, Procedia Computer Science, vol. 251, pp. 651-659, 2024, https://doi.org/10.1016/j.procs.2024.11.164
Kumar, R., Gaur S., Kulkarni M. S., Kumar S., Pandhare V., Lad, B. K., Industry 4.0 Readiness Assessment for Micro Small and Medium-sized Enterprises (MSMEs), IET Conference Proceedings, vol. 2024, no. 11, pp. 146-152, 2024, https://doi.org/10.1049/icp.2024.3499
Singla S., Bhattacharjee S., Pandhare V., Deriving Inferences through Natural Language from Structured Datasets for Asset Lifecycle Management, IFAC-PapersOnLine, vol. 58, no. 8, pp. 145-150, 2024, https://doi.org/10.1016/j.ifacol.2024.08.064
Pandhare V., Jia X. and Lee J., Collaborative Prognostics for Machine Fleets Using a Novel Federated Baseline Learner, In Annual Conference of the PHM Society, 2021, vol. 13, no. 1, https://doi.org/10.36001/phmconf.2021.v13i1.2989
Pandhare V., Singh J and Lee J., Convolutional Neural Network Based Rolling-Element Bearing Fault Diagnosis for Naturally Occurring and Progressing Defects Using Time-Frequency Domain Features. 2019 Prognostics and System Health Management Conference (PHM-Paris), , May 2019, https://doi.org/10.1109/PHM-Paris.2019.00061
Negri E., Cattaneo L., Pandhare V., Macchi M. and Lee J., Integrating PHM into production scheduling through a Digital Twin-based framework, IFAC Conference on Advanced Maintenance Engineering, Services and Technology (AMEST), vol. 55, no. 19, pp. 31-36, 2022, https://doi.org/10.1016/j.ifacol.2022.09.180
Azamfar M., Jia X., Pandhare V., Singh J., Davari H. and Lee J., Detection and diagnosis of bottle capping failures based on motor current signature analysis. Procedia Manufacturing. vol. 34, pp. 840 – 846, Jan. 2019, https://doi.org/10.1016/j.promfg.2019.06.165
Agrawal N., Pandhare V., and Lad B. K., A Bayesian Algorithm for Cyber-Physical System Realization for Industry 4.0, 3rd International Conference on Business Analytics and Intelligence, Data Centre & Analytics Lab, IIM Bangalore, India, 2015
Pandhare V., Sankhla V. K., and Lad B. K., Design and Development of a Machine Simulator for Cyber-Physical Systems Based Operations Planning, Proceedings of the 57th National Convention of IIIE, SVNIT, India, Nov. 2015, pp. 807-812.
Lee, J., Jia, X., Pandhare, V. and Miller, M. Analyzing data obtained via wind farm supervisory control and data acquisition, Utility-Scale Wind Turbines and Wind Farms (IET), p.105, 2021, ISBN: 9781839530999
Lee J., Singh J., Azamfar M. and Pandhare V., Industrial AI and predictive analytics for smart manufacturing systems, Smart Manufacturing (Elsevier), pp. 213-244, 2020, ISBN: 9780128203804
• Design and Development of Digital Threads for Process Optimization
• Dieset Condition Monitoring and Useful Life estimation for Optimal Asset Utilization
Kennametal Inc., India
Digital Twin and Artificial Intelligence Lab (DTAIL), IIT Indore
June 2024 onwards
Digitalization of End of Line Visual Inspection on the Assembly Line
Cummins India Ltd., India
Digital Twin and Artificial Intelligence Lab (DTAIL), IIT Indore
June 2024 onwards
Advancing Data-Driven Decisions in Contactless Remote Patient Monitoring
Dozee, India
Digital Twin and Artificial Intelligence Lab (DTAIL), IIT Indore
June 2024 onwards
PAST ENGAGEMENTS:
Development of Health Assessment Tool using NIST Inertial Measurement Unit (IMU)
National Institute of Standards and Technology, U.S.A.
IMS Center, University of Cincinnati
Nov. 2018 – Nov. 2021
Physics-informed Digital Twins for Robust Ball Screw Condition Monitoring
Hiwin Corporation, Taiwan
IMS Center, University of Cincinnati
Sep. 2020 – Nov. 2021
Expansion of Spindle Health Assessment Tool to Multiple Machine Models
Mazak Corporation, Florence, KY, U.S.A
IMS Center, University of Cincinnati
May. 2019 – Dec. 2019
Condition Monitoring of Diesel Engines using Engine Control Unit (ECU) Data
Weichai America Corp., IL, U.S.A.
IMS Center, University of Cincinnati
May. 2018 – May. 2019
Designing a Predictive Maintenance Tool for Injection Molding Machine using Text-Mining on Maintenance Records
Plastic Omnium, Anderson, SC, U.S.A.
IMS Center, University of Cincinnati
Mar. 2018 – Apr. 2021
A Feasibility Study on Designing a Predictive Solution for Capping Quality Control
Procter & Gamble Co, Lima, OH, U.S.A.
IMS Center, University of Cincinnati
Jan. 2018 – Dec. 2018
Design and Development of a System for Spindle Health Assessment and Fault Diagnosis
Mazak Corporation, Florence, KY, U.S.A.
IMS Center, University of Cincinnati
Jan. 2018 – Sep. 2018
Design and Development of a Reliability Estimation Tool for Naval Equipment
Indian Naval Ship Maintenance Authority (INSMA), India
NCAIR, IIT Bombay
Jan. 2018 – Sep. 2018
A Smart Communication Network for Shop-floor Planning in Industries
IEDC, Ministry of Sci. & Tech., Govt. of India, India
Intelligent Manufacturing Planning Lab, IIT Indore
Mar. 2015 – Mar. 2016
Design and Development of a Smart Manager Android App for Industries
IEDC, Ministry of Sci. & Tech., Govt. of India, India
Intelligent Manufacturing Planning Lab, IIT Indore
Mar. 2014 – Mar. 2015
DTAIL | Dr. Vibhor Pandhare | IIT INDORE
Room No. FC 507, Learning Resource Center (LRC), IIT Indore, Khandwa Road, Simrol, Indore, MP - 453552, India
Email: vibhorpandhare[at]iiti[dot]ac[dot]in