Dr. Prawar

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.

• 10^th (2013)
• 12^th (2015)
• B.Sc Maths Hons. (2018)
• M.Sc Applied Science (2020)
• Ph.D Mathematics (2024)

• 2 Years R.T.A at amity University Noida

1. 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.
2. 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.
3. 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.
4. Prawar, Anjali Naithani, H. D. Arora, Surbhi Gupta.” Cost Benefit Analysis of Plate Manufacturing Plant with Cold Standby Unit”. Nov 12^th -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