Interest Area(s)
machine learning for predictive analytics, biomechanics for healthcare, aviation system reliability, fuzzy networks, image processing, and inventory management, Block chain and cyber security.
Reliability modeling is a key area of my research, focusing on predicting the reliability and failure behavior of complex systems across industries such as transportation, energy, and manufacturing. Using advanced statistical techniques, I analyze failure data to enhance system reliability, addressing aging mechanisms, fault diagnosis, and maintenance optimization to improve availability, safety, and cost-efficiency. My interdisciplinary interests include machine learning for predictive analytics, biomechanics for healthcare, aviation system reliability, fuzzy networks, image processing, and inventory management. Through innovative methodologies, I aim to address complex challenges and drive advancements across these domains.
- 10th (2013)
- 12th (2015)
- B.Sc Maths Hons. (2018)
- M.Sc Applied Science (2020)
- Ph.D Mathematics (2024)
- 2 Years R.T.A at amity University Noida
- Prawar, Anjali Naithani, H. D. Arora, Surbhi Gupta. “Reliability And Cost Assessment Of Manufacturing Unit With Switching On Demand”. May 23rd, 25th 2023, IRST-2023, Shobhit University Merrut.
- Prawar, Anjali Naithani, H. D. Arora, Surbhi Gupta.” Reliability Evaluation of Three Unit Hot Standby Parallel System Working as Per Demand”. Dec 21st 22nd 2021, FIAM-2021, SLIET Longowal Punjab.
- Prawar, Anjali Naithani, H. D. Arora, Surbhi Gupta.” Probabilistic Assessment Of Optical Smoke Detectors Used Inn Aircrafts”. Feb 3rd-5th 2023, IEMSC- 2023, IEM- Kolkata.
- Prawar, Anjali Naithani, H. D. Arora, Surbhi Gupta.” Cost Benefit Analysis of Plate Manufacturing Plant with Cold Standby Unit”. Nov 12th -13th 2022,ICAMS-2022, Gujrat University.
- Enhancing System Predictability and Profitability: The Importance of Reliability Modelling in Complex Systems and Aviation Industry
Source: prawar via Scopus – Elsevier Added: 2024-05-30 - Optimizing Maintenance and Control Strategies for Induced Draft Fan Systems in Thermal Power Plants: A Reliability and Profit Analysis Source: Web of Science Researcher Profile Sync
Added: 2024-10-23 - Optimizing System Efficiency and Reliability: Integrating Semi-Markov Processes and Regenerative Point Techniques for Maintenance Strategies in Plate Manufacturing
Source: Web of Science Researcher Profile Sync Added: 2024-10-23 - Reliability and Cost Assessment of a Plate Manufacturing System with Cold Standby and On-Demand Switching
Source: Web of Science Researcher Profile Sync Added: 2024-10-11 - Optimizing Industrial Reliability: A Comparative Study of Hot and Cold Standby Configurations in Three-Unit Parallel Systems
Source: prawar Added: 2024-05-23