Biography
I joined Deakin University in January 2017 as a Professor of Data Analytics and Machine Learning. From January 1997 to December 2016 I worked at Northumbria University, UK, where I was a Professor of Mathematical Physics from 2004. I was a College Lecturer in Physics in Somerville and Worcester Colleges and a member of the Theoretical Physics Sub-Department at Oxford University for 6 years from 1991 to 1996, and Assistant Professor in Physics at Sofia University from 1988 to 1991. I am a Visiting professor at the National University of Mexico from 2015 and an Honorary Professor at Amity University. I was a Visiting Researcgh Fellow at the Department of Chemistry at University of Kent at Canterbury from 1988 to 1991.
Read more on Maia's profileBiography summary
I am a Professor of Data Analytics and Machine Learning at the School of Information Technology at Deakin University from January 2017. I was a Professor of Mathematical Physics at the Department of Mathematics, Physics and Electrical Engineering at Northumbria University at Newcastle upon Tyne from 2004 to 1996. Before that I was a reder in Applied Mathematics from 2001 to 2004 and Senior and Prinvipal Lecturer in Mathematics at Northumbria University from 1996 to 2001. I worked in Oxford University from 1991 to 1996 as a College Lecturer in Physics at Somerville College and a member of Theoretical Physics Sub-Department.
Affiliations
Professor of Data Analytics and Machine Learning - School of IT, Deakin University 2017 - to date
Visiting Professor - National University of Mexico, 2015 - to date
Honorary Professor - Amity School of Engineering and Technology - 2018 to date
Professor of Mathematical Physics - Department of Mathematics, Physics and Electrical Engineering, Northumbria University 1997-2016
Lecturer in Physics - Somerville College, Oxford University 1991-1996
Assistant Professor in Physics - Faculty of Physics, Sofia University 1988-1991
Visiting Research Fellow, Departmnent of Chemistry, University of Kent at Canterbury 1988 -1991
Knowledge areas
Data analytics, machine learning and data mining, biomathematics, bioinformatics, mathematical physics, group theory, financial mathematics, condensed matter physics, mathematical crystallography.
Professional activities
Fellow of The Institute of Physics
Member of The London Mathematical Society
Member of The Australian Mathematical Society
Member of The International Union of Crystallography
member of The European Women in Mathematics
Projects
2015-2019: Loss of Complexity of human physiological signals with ageing and degenerative disease, funded by The Academy of Medical Sciences.
2011-2014: Models for Ageing and Technological Solutions for Improving and Enhancing the Quality of Life (MATSIQEL), I was the Coordinator and principal investigator of the European research project funded by FP7-People-IRSES programme;
Publications
`Friend or foe' and decision making initiative in complex conflict environments
Mathew Zuparic, Sergiy Shelyag, Maia Angelova, Ye Zhu, Alexander Kalloniatis
(2023), Vol. 18, pp. e0281169-e0281169, PLOS ONE, United States, C1
Hierarchical clustering that takes advantage of both density-peak and density-connectivity
Y Zhu, K Ting, Y Jin, M Angelova
(2022), Vol. 103, Information Systems, C1
Weighted dynamic time warping for traffic flow clustering
M Li, Y Zhu, T Zhao, M Angelova
(2022), Vol. 472, pp. 266-279, Neurocomputing, Amsterdam, The Netherlands, C1
Clustering-enhanced stock price prediction using deep learning
M Li, Y Zhu, Y Shen, M Angelova
(2022), pp. 1-26, World Wide Web, Berlin, Germany, C1
Smartphone as a Disease Screening Tool: A Systematic Review
Jeban Moses, Sasan Adibi, Nilmini Wickramasinghe, Lemai Nguyen, Maia Angelova, Sheikh Islam
(2022), Vol. 22, pp. 1-16, Sensors, Basel, Switzerland, C1
Smart Home Technology Solutions for Cardiovascular Diseases: A Systematic Review
J Moses, S Adibi, M Angelova, S Islam
(2022), Vol. 5, Applied System Innovation, C1
Chronic back pain sub-grouped via psychosocial, brain and physical factors using machine learning
Scott Tagliaferri, Tim Wilkin, Maia Angelova, Bernadette Fitzgibbon, Patrick Owen, Clint Miller, Daniel Belavy
(2022), Vol. 12, pp. 1-15, Scientific Reports, London, Eng., C1
Modelling host population support for combat adversaries
M Zuparic, S Shelyag, M Angelova, Y Zhu, A Kalloniatis
(2022), Journal of the Operational Research Society, London, Eng., C1
Delay-differential equations for glucose-insulin regulation
Maia Angelova Turkedjieva, Sergiy Shelyag
(2021), Vol. MXBS Vol. 4, pp. 299-306, 2019-20 MATRIX Annals, Cham, Switzerland, B1
M Zuparic, M Angelova, Y Zhu, A Kalloniatis
(2021), Vol. 95, Communications in Nonlinear Science and Numerical Simulation, C1
Global stability and periodicity in a glucose-insulin regulation model with a single delay
M Angelova, G Beliakov, A Ivanov, S Shelyag
(2021), Vol. 95, Communications in Nonlinear Science and Numerical Simulation, C1
Effect of Stress on Cardiorespiratory Synchronization of Ironman Athletes
M Angelova, P Holloway, S Shelyag, S Rajasegarar, H Rauch
(2021), Vol. 12, Frontiers in Physiology, Switzerland, C1
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
Y Zhu, K Ting, M Carman, M Angelova
(2021), Vol. 117, Pattern Recognition, C1
S Kusmakar, C Karmakar, Y Zhu, S Shelyag, S Drummond, J Ellis, M Angelova
(2021), Vol. 8, Royal Society Open Science, England, C1
Emran Ali, Radhagayathri Udhayakumar, Maia Angelova, Chandan Karmakar
(2021), pp. 1083-1085, EMBC 2021 : Proceedings of the 43rd Annual Conference of the IEEE Engineering in Medicine & Biology Society, Mexico, E1
A Bridgewater, B Huard, M Angelova
(2020), Vol. 30, pp. 737-766, Journal of Nonlinear Science, C1
Density estimates on the unit simplex and calculation of the mode of a sample
M Angelova, G Beliakov, S Shelyag, Y Zhu
(2020), Vol. 35, pp. 850-868, International Journal of Intelligent Systems, C1
A Gaddam, T Wilkin, M Angelova, J Gaddam
(2020), Vol. 9, Electronics (Switzerland), C1
Machine Learning Enabled Team Performance Analysis in the Dynamical Environment of Soccer
S Kusmakar, S Shelyag, Y Zhu, D Dwyer, P Gastin, M Angelova
(2020), Vol. 8, pp. 90266-90279, IEEE Access, C1
Automated Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data
M Angelova, C Karmakar, Y Zhu, S Drummond, J Ellis
(2020), Vol. 8, pp. 74413-74422, IEEE Access, C1
S Tagliaferri, M Angelova, X Zhao, P Owen, C Miller, T Wilkin, D Belavy
(2020), Vol. 3, npj Digital Medicine, England, C1
Multi-Scale Shapelets Discovery for Time-Series Classification
B Cai, G Huang, Y Xiang, M Angelova, L Guo, C Chi
(2020), Vol. 19, pp. 721-739, International Journal of Information Technology and Decision Making, C1
L De Jong, P Gastin, M Angelova, L Bruce, D Dwyer
(2020), Vol. 15, PLoS ONE, United States, C1
Flexible Shapelets Discovery for Time Series Classification
B Cai, G Huang, M Angelova Turkedjieva, Y Xiang, C Chi
(2020), Vol. 1179, pp. 211-220, ICDS 2019 : Data science : 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, revised selected papers, Ningbo, China, E1
Deterministic and Stochastic Models of Arabidopsis thaliana Flowering
E Haspolat, B Huard, M Angelova
(2019), Vol. 81, pp. 277-311, Bulletin of Mathematical Biology, United States, C1
Investigation of Complexity and Regulatory Role of Physiological Activities during a Pacing Exercise
M Angelova, S Shelyag, S Rajasegarar, D Chuckravanen, S Rajbhandari, P Gastin, A St Clair Gibson
(2019), Vol. 7, pp. 152334-152346, IEEE Access, C1
Density-based clustering using approximate natural neighbours
Maia Angelova, Gleb Beliakov, Ye Zhu
(2019), Vol. 85, APPLIED SOFT COMPUTING, C1
Ultradian rhythms in glucose regulation: a mathematical assessment
A Bridgewater, B Stringer, B Huard, M Angelova Turkedjieva
(2019), Vol. 2090, pp. 050010-1-050010-9, Proceedings of the XV Mexican Symposium on Medical Physics 2018, Mexico City, Mexico, E1
L Álvarez-Millán, D Castillo-Castillo, A Pérez-Pacheco, R Quispe-Siccha, M Angelova, J Rivera-Sánchez, R Fossion
(2019), Vol. 2090, pp. 050002-1-050002-6, Proceedings of the XV Mexican Symposium on Medical Physics, Mexico City, Mexico, E1
Anomaly detection models for detecting sensor faults and outliers in the iot-a survey
A Gaddam, T Wilkin, M Angelova
(2019), pp. 1-6, ICST 2019 : Proceedings of the 13th International Conference on Sensing Technology, Sydney, New South Wales, E1
Design and development of IoT based rehabilitation outdoor landscape for gait phase recognition
A Gaddam, T Wilkin, M Angelova, A Valera, J McIntosh, B Marques
(2019), pp. 1-7, ICST 2019 : Proceedings of the 13th International Conference on Sensing Technology, Sydney, New South Wales, E1
Quantification of irregular rhythms in chronobiology: a time-series perspective
Ruben Fossion, Ana Rivera, Juan Toledo-Roy, M Angelova Turkedjieva
(2018), pp. 33-58, Circadian rhythm: cellular and molecular mechanisms, London, Eng., B1
User Activity Pattern Analysis in Telecare Data
M Angelova, J Ellman, H Gibson, P Oman, S Rajasegarar, Y Zhu
(2018), Vol. 6, pp. 33306-33317, IEEE Access, C1
A distance scaling method to improve density-based clustering
Y Zhu, K Ting, M Angelova
(2018), Vol. 10939, pp. 389-400, PAKDD 2018 : Advances in Knowledge Discovery and Data Mining : Proceedings of 22nd Pacific-Asia Conference, Melbourne, Victoria, E1
Modeling telehealth services with generalized nets
M Stefanova-Pavlova, V Andonov, T Stoyanov, M Angelova, G Cook, B Klein, P Vassilev, E Stefanova
(2017), Vol. 657, pp. 279-290, Recent contributions in intelligent systems, Cham, Switzerland, B1-1
B Huard, A Bridgewater, M Angelova
(2017), Vol. 418, pp. 66-76, Journal of theoretical biology, Amsterdam, The Netherlands, C1
R Fossion, A Rivera, J Toledo-Roy, J Ellis, M Angelova
(2017), Vol. 12, PLoS ONE, United States, C1
Investigating the effect of cognitive stress on cardiorespiratory synchronization
M Angelova Turkedjieva, P Holloway, L Rauch
(2017), pp. 85-85, Physical and Mathematical Aspects of Symmetries : Proceedings of the 31st International Colloquium in Group Theoretical Methods in Physics, Rio De Janeiro, Brazil, E1
B Huard, J Easton, M Angelova
(2015), Vol. 26, pp. 211-222, Communications in nonlinear science and numerical simulation, Amsterdam, The Netherlands, C1-1
Complexity analysis of human physiological signals based on case studies
M Angelova, P Holloway, J Ellis
(2015), Vol. 597, pp. 1-9, Group30 2014 : Proceedings of the 30th Group Theoretical Methods in Physics International Colloquium, Ghent, Belgium, E1-1
Complexity analysis of sleep and alterations with insomnia based on non-invasive techniques
P Holloway, M Angelova, S Lombardo, A St Clair Gibson, D Lee, J Ellis
(2014), Vol. 11, pp. 1-8, Journal of the Royal Society: interface, London, Eng., C1-1
J Easton, C Stephens, M Angelova
(2014), Vol. 54, pp. 199-210, Computers in biology and medicine, Amsterdam, The Netherlands, C1-1
Experimental wavelet based denoising for indoor infrared wireless communications
S Rajbhandari, Z Ghassemlooy, M Angelova
(2013), Vol. 21, pp. 13779-13784, Optics express, Washington D.C., C1-1
S Rajbhandari, J Faith, Z Ghassemlooy, M Angelova
(2013), Vol. 124, pp. 4192-4196, Optik - international journal for light and electron optics, Amsterdam, The Netherlands, C1-1
HACDB: handwritten Arabic characters database for automatic character recognition
A Lawgali, M Angelova, A Bouridane
(2013), pp. 255-259, EUVIP 2013 : Proceedings of the 4th European Workshop on Visual Information Processing, Paris, France, E1-1
Validation of artificial neural network model for share price UK banking sector short-term trading
E Turkedjiev, M Angelova, K Busawon
(2013), pp. 6-11, UKSim 2013 : Proceedings of the 15th International Conference on Computer Modelling and Simulation, Cambridge, U.K., E1-1
A framework for density weighted kernel fuzzy c-means on gene expression data
Y Wang, M Angelova, Y Zhang
(2013), Vol. 212, pp. 453-461, BIC-TA 2013 : Proceedings of the Eighth International Conference on Bio-Inspired Computing: Theories and Applications, HuangShan, China, E1-1
adaptive 'soft' sliding block decoding of convolutional code using the artificial neural network
S Rajbhandari, Z Ghassemlooy, M Angelova
(2012), Vol. 23, pp. 672-677, Transactions on Emerging Telecommunications Technologies, Chichester, ENg., C1-1
squeezed coherent states and the one-dimensional morse quantum system
M Angelova, A Hertz, V Hussin
(2012), Vol. 45, pp. 1-15, Journal of Physics A: Mathematical and Theoretical, Bristol, Eng., C1-1
Generalized net model for telehealth services
V Andonov, M Stefanova-Pavlova, T Stoyanov, M Angelova, G Cook, B Klein, K Atanassov, P Vassilev
(2012), pp. 221-224, IS'2012 : Intelligent systems: methodology, systems, applications in emerging technologies : Proceedings of the 2012 6th IEEE International Conference Intelligent Systems, Sofia, Bulgaria, E1-1
Weighted kernel fuzzy c-means method for gene expression analysis
Y Wang, M Angelova
(2012), pp. 1-4, S-CET 2012 : Sharing, cooperating and improving : Proceedings of the 2012 Spring Congress on Engineering and Technology, Xi'an, China, E1-1
Modelling techniques for analysis of human activity patterns
P Holloway, A Gibson, D Lee, E Lambert, M Angelova, S Lombardo, J Ellis, L Rauch
(2012), pp. 275-280, IS'2012 : Intelligent systems: methodology, systems, applications in emerging technologies : Proceedings of the 2012 6th IEEE International Conference on Intelligent Systems, Sofia, Bulgaria, E1-1
Wavelet-artificial neural network receiver for indoor optical wireless communications
S Rajbhandari, Z Ghassemlooy, M Angelova
(2011), Vol. 29, pp. 2651-2659, Journal of lightwave technology, Piscataway, N.J., C1-1
S Rajbhandari, Z Ghassemlooy, M Angelova
(2011), Vol. 23, pp. 1502-1504, IEEE photonics technology letters, Piscataway, N.J., C1-1
S Rajbhandari, Z Ghassemlooy, M Angelova
(2011), Vol. 5, pp. 1025-1030, IET microwaves, antennas and propagation, Stevenage, United Kingdom, C1-1
S Rajbhandari, Z Ghassemlooy, M Angelova Turkedjieva
(2011), Vol. 4, pp. 513-519, American journal of engineering and applied sciences, Ellicott City, Md., C1-1
Automatic segmentation for Arabic characters in handwriting documents
A Lawgali, A Bouridane, M Angelova, Z Ghassemlooy
(2011), pp. 3529-3532, ICIP 2011 : Proceedings of the 2011 18th IEEE International Conference on Image Processing, Brussels, Belgium, E1-1
Dynamic model of gene regulation for the lac operon
M Angelova, A Ben-Halim
(2011), Vol. 286, pp. 1-5, CMMP10 : Proceedings of the Condensed Matter and Materials Physics Conference, Coventry, Eng., E1-1
S Rajbhandari, Z Ghassemlooy, M Angelova
(2009), Vol. 27, pp. 4493-4500, Journal of lightwave technology, Piscataway, N.J., C1-1
Generalized and Gaussian coherent states for the Morse potential
M Angelova, V Hussin
(2008), Vol. 41, pp. 1-13, Journal of physics a: mathematical and theoretical, Bristol, United Kingdom, C1-1
Targeted projection pursuit for visualizing gene expression data classifications
J Faith, R Mintram, M Angelova
(2006), Vol. 22, pp. 2667-2673, Bioinformatics, Oxford, Eng., C1-1
Applications of classical and quantum algebras to molecular thermodynamics
M Angelova
(2002), Vol. 33, pp. 1-12, SYMPHYS9 : Proceedings of the 9th International Conference on Symmetry Methods in Physics, Yerevan, Armenia, E1-1
On the classification and enumeration of the irreducible co-representations of magnetic space groups
M Angelova, L Boyle
(1996), Vol. 29, pp. 993-1010, Journal of physics a: mathematical and general, Bristol, Eng., C1-1
The Jahn-Teller effect in icosahedral symmetry: extension of Ham factors in strongly coupled systems
J Cullerne, M Angelova, M O'Brien
(1995), Vol. 7, pp. 3247-3269, Journal of physics: condensed matter, Bristol, Eng., C1-1
M Angelova Turkedjieva, J Kotzev, M Aroyo
(1988), Vol. 185, pp. 282-285, Zeitschrift für kristallographie - new crystal structures, München, Germany, C1-1
On the factorisation of matrix elements for systems with anti-unitary symmetry
M Angelova, M Aroyo, J Kotzev
(1986), Vol. 19, pp. 1279-1289, Journal of physics a: mathematical and general, Bristol, Eng., C1-1
On the Racah algebra for Shubnikov magnetic groups
J Kotzev, M Aroyo, M Angelova Turkedjieva
(1985), Vol. 201, pp. 416-419, Group theoretical methods in physics, Berlin, Germany, C1-1
Isoscalar factors for anti-unitary point groups
J Kotzev, M Aroyo, M Angelova
(1982), Vol. 114, pp. 533-537, Physica A: statistical mechanics and its applications, Amsterdam, The Netherlands, C1-1
Differentiating acute from chronic insomnia with machine learning from actigraphy time series data
S Rani, S Shelyag, C Karmakar, Ye Zhu, R Fossion, J Ellis, S Drummond, M Angelova
(), Vol. 2, Frontiers in Network Physiology, C1
Funded Projects at Deakin
Other Public Sector Funding
Multiple networks in dynamical combat modelling and critical phenomena.
Prof Maia Angelova Turkedjieva, Dr Ye Zhu
Department of Defence
- 2018: $12,778
Intelligent Sensor processing for Enhancing Defence Decision Support.
Prof Maia Angelova Turkedjieva, Dr Ye Zhu, A/Prof Tim Wilkin, Dr Dan Dwyer, Dr Alex Kalloniatsis, Prof Paul Gastin
Defence Science Institute
- 2019: $30,000
- 2018: $20,000
Adversarial decision making networks and directed fires with non-combatant populations.
Prof Maia Angelova Turkedjieva, Dr Ye Zhu, Dr Sergiy Shelyag
DSTO Grant - Research - Defence Science & Technology Organisation
- 2019: $30,000
Modelling networked combat, adversarial C2 and information operations.
Prof Maia Angelova Turkedjieva, Dr Sergiy Shelyag, Dr Ye Zhu
Department of Defence
- 2020: $30,000
PlayerImpact: Data-driven Performance Evaluation of Player and Team via machine Learning Approach.
Prof Maia Angelova Turkedjieva, Dr Shitanshu Kusmakar, Dr Sergiy Shelyag
DSTO Grant - Research - Defence Science & Technology Organisation
- 2020: $20,000
Supervisions
Scott Tagliaferri
Thesis entitled: Towards data-driven biopsychosocial classification of non-specific chronic low back pain
Doctor of Philosophy (Nutrition & Exercise) (Low Cost), School of Exercise and Nutrition Sciences
Emran Ali
Thesis entitled: Minimising Electroencephalogram Channels for Epileptic Seizure Detection
Master of Science (Information Technology), School of Information Technology