Anela obtained her MSc degree in Engineering Science in December 2013 and PhD degree in Mechanical Engineering on identification of damping in December 2017, both from the Technical University of Denmark. She has spent considerable time abroad at international institutions. Her first stay abroad was at the University of Auckland, New Zealand as a Graduate Student in Engineering. She worked on statistical pattern recognition methods for structural damage detection as a Visiting Research Scholar at Stanford University in 2014.
In 2016 she was a Visiting Researcher at Sandia National Laboratories, where she developed machine learning algorithms for impact rating of vehicle-bridge collisions. Currently, Anela is a Post Doctoral Research Assistant within the Civil Engineering Group at the University of Oxford, where she is working on the topic of offhore wind structural analysis. She is a committee member of the Women in Engineering (WiE) group at Oxford. WiE actively advocates for equality, diversity and inclusion across STEM disciplines.
Anela's research is concerned with algorithmic developments which can be applied to extract uncertain properties of flexible structures prone to vibrations. At Oxford, she is developing system identification algorithms suitable for extraction of spatial properties of dynamic structures from vibration measurements, such as the foundation stiffness, mechanical damper properties and breaking wave loads on offshore wind turbines.
1. Bajric A and Høgsberg J. Identication of damping and complex modes from structural vibrations, Journal of Sound and Vibration, 2018; 431: 367-389.
2. Bajric A and Høgsberg J. Estimation of hysteretic damping of structures by stochastic subspace identication, Journal of Mechanical Systems and Signal Processing, 2018; 105: 3650.
3. Bajric A, Høgsberg J and Rüdinger F. Evaluation of damping estimates using automated Operational Modal Analysis for oshore wind turbine tower vibrations, Renewable Energy, 2018; 116(B): 153-163.
4. Cantieni R, Bajric A and Brincker R. Experimentelle Bestimmung der Dampfung eines Bauwerkes am Beispiele einer Fuÿgängerbrücke Worauf man achten sollte, Bauingenieur, Springer International Publishing, 2016; 91(4).
1. Bajric A and Høgsberg J. Experimental data for identication of damping and complex modes in structural vibrations, Mendeley Data, version 1.0, 2017.
1. Vemuganti S, Ozdagli A, Liu B, Bajric A, Moreu F, Brake MRW, Troyer K. Impact Rating System for Vehicle and Railway Bridge Collision, International Modal Analysis Conference, 2017.
2. Bajric A. System identication of a linearized hysteretic system using covariance driven stochastic subspace identication, Workshop on Nonlinear System Identifcation Benchmarks, Brussels, Belgium, April 25-27, 2016.
3. Cantieni R, Bajric A and Brincker R. Damping Characteristics of a Footbridge - Mysteries and Truths, Dynamics of Civil Structures, Springer International Publishing, 2016; 2.
4. Bajric A, Brincker R and Thöns S. Evaluation of damping estimates in the presence of closely spaced modes using operational modal analysis techniques. 6th International Operational Modal Analysis Conference, 2015.
5. Bajric A, Georgakis CT and Brincker R. Evaluation of damping using frequency domain Operational Modal Analysis techniques. Dynamics of Civil Structures, Springer International Publishing, 2015; 1: 351-355.
6. Bajric A, Brincker R and Georgakis CT. Evaluation of Damping Using Time Domain OMA Techniques. International Symposium on Intensive Loading and Its Eects, Society of Experimental Mechanics, 2014.
1. Liao Y and Bajric A. Wireless Sensor Monitoring Test Documentation for UCSD Shake Tests, Stanford University, 2014.