🏢 Work Experience

Oxford Brookes University, Oxford, Wheatley, OX33 1HX Professor in Mechanical Engineering (Leading research, teaching, and supervising PhD and MSc students in Reliability, Risk, and Probabilistic Modeling within the Department of Engineering and Mathematical Sciences, Oxford Brookes University) (Promoted to a top professorial level in 2011, based on strong references from US research institutions.)Cranfield University, Cranfield, Bedford, MK43 0AL(Led research, consultancy, and teaching in Reliability, Risk, and Probabilistic Modeling within the School of Applied Sciences, Cranfield University) Cranfield University, Cranfield, Bedford, MK43 0AL (Conducted research, consultancy, teaching, and supervised PhD and MSc students in Reliability, Risk, and Probabilistic Modeling within the School of Applied Sciences) The University of Birmingham, Birmingham, Edgbaston, B15 2TT, UK Research Scientist (Managed research in probabilistic modeling of fracture and fatigue, thermal and residual stress modeling after heat treatment, and improving mechanical component reliability through mathematical modeling.)Technical University of Sofia, Bulgaria Research Scientist (Managed research in heat and mass transfer, phase transformations modeling, funded by the Bulgarian Ministry of Science and Education)

🌟 Highlights of Scientific Accomplishments

Created foundational theory for repairable flow networks and networks with disturbed flows. Authored the pioneering book in this domain. Proved the dual network theorem for networks with disturbed flows, forming the basis of this theory. Developed a fast algorithm for decongesting flow networks and maximizing throughput flow after component failure. Discovered a fundamental flaw in algorithms for maximizing throughput flow in networks since 1956.

Developed Fundamental Theories:

Created foundational theories in repairable flow networks, networks with disturbed flows, and their optimization, leading to the first-ever published book in this field. Algorithms and Optimizations: Pioneered ultra-fast algorithms for decongesting flow networks and maximizing throughput flow, rectifying flaws in existing algorithms, and creating efficient algorithms for topology optimization. Revolutionary Discoveries: Revealed fundamental flaws in established theories, corrected models like the Weibull distribution, and challenged theories like the Johnson-Mehl-Avrami-Kolmogorov equation. Risk-Based Reliability: Spearheaded research in risk-based reliability analysis, setting quantitative reliability requirements, and driving progress in risk reduction principles, leading to pioneering publications. Materials Science and Engineering: Made breakthroughs in materials science, crack initiation criterion, phase transformations, and stress-related studies, unveiling new models and equations. Innovative Statistical Methods: Introduced statistical tests, empirical distributions, and simulation-based methods for diverse applications in materials science and engineering.

Top Noted Publication:

Reliability and risk models: setting reliability requirements Published on 2015/9/3 Cited by 154

Risk-based reliability analysis and generic principles for risk reduction Published on 2006/11/3 Cited by 99

Necessary and sufficient condition for additivity in the sense of the Palmgren–Miner rule Published on 2001/5/1 Cited by 76

On some limitations of the Johnson–Mehl–Avrami–Kolmogorov equation Published on 2000/11/8 Cited by 74

Is Weibull distribution the correct model for predicting probability of failure initiated by non-interacting flaws Published on 2009/2/1 Cited by 57

Maximum principal tensile stress and fatigue crack origin for compression springs Published on 1999/3/1 Cited by 53

A probabilistic method for predicting fatigue life controlled by defects Published on 1998/10/31 Cited by 50

Flow Networks: Analysis and optimization of repairable flow networks, networks with disturbed flows, static flow networks and reliability networks Published on 2013/1/16 Cited by 46

Reliability analysis based on the losses from failures Published on 2006/4 Cited by