Biography
Professor Asim Bhatti has prioneered and leads the area of Neural and Cognititive Systems at Deakin University. His research interests involve understanding the mechanims of brain and how it correlates with the behaviour of the organism. This research involves investigation of brain at cell level to observe the variations subject to external stimuli. Similarly how these stimuli and associated funtional variations at cell level effect the physiological and cognitive behaviour of the individuals.
Prof Bhatti's research and development work also involves quantification of teams human-human, human-machine and human-AI. This work involves investigatio of factors that makes a team effective or ineffective employing varierty of simulated and actual operational scenarios as well as physiological monitoring. This work has led to varitety of funded collaborations with a number of Government and Non-government organisations.
Prof Bhatti is inventor of many technologies, at various levels or maturity, currently adopted in domain inlcuding medical, public Health, manufacuring, transportation and defence. He is involved in number of successful technology spin-offs operating globally.
Read more on Asim's profileBiography summary
Professor Asim Bhatti is affiliated with Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University and leads the areas of research including Neuroengineering, Cognition and Performance Assessment.
Career highlights
- Professor: Jan 2023-Present
Deakin University, Australia
- Associate Professor: Jan 2018-Dec 2022
Deakin University, Australia
- Senior Reserch Fellow: Jan 2012 - Dec 2017
Deakin University, Australia
- Australian Endeavour Research Fellow: Aug 2011 - Feb 2012
Georgia Institute of Technology, USA
Research interests
Prof Bhatti's research interests involve understanding the mechanims of brain and how it correlates with the behaviour of the organism. This research involves investigation of brain at cell level to observe the variations subject to external stimuli. Similarly how these stimuli and associated funtional variations at cell level effect the physiological and cognitive behaviour of the individuals.
Prof Bhatti's research and development work also involves quantification of teams human-human, human-machine and human-AI. This work involves investigatio of factors that makes a team effective or ineffective employing varierty of simulated and actual operational scenarios as well as physiological monitoring. This work has led to varitety of funded collaborations with a number of Government and Non-government organisations.
Prof Bhatti is inventor of many technologies, at various levels or maturity, currently adopted in domain inlcuding medical, public Health, manufacuring, transportation and defence. He is involved in number of successful technology spin-offs operating globally.
Knowledge areas
Neural and Cognititive Systems, AI, Computer Vision, Human Factors
Media appearances
Research groups
- NeuroEngineering
- Cognition and Performance Assessment
- Neural and Cognitive Systems
Awards
- Defence Innovation Awards: Finalist Innovator of the Year (2020)
- Defence Innovation Awards: Finalist Scientist of the Year (2020)
- Defence Innovation Awards: Finalist Academic of the Year (2020)
- IISRI award for Outstanding Research Services (2020)
- Pacific International Maritime Exposition: DSI Innovation Pitch fest (2019)
- On-Prime - Innovation and entrepreneurship Award ($3K) (2018)
- Gold Medal: SAE Australasia Mobility Engineering Excellence Awards 2016
- Australian Endeavour Fellowship Award 2011
- Runner-up in Smart Technology Category of the Smart Geelong Network Researcher of the Year Awards 2009 and 2010
- Runner up SAE Automotive Engineering Excellence Awards 2010 and 2011
- Senior Member IEEE
Projects
https://www.researchgate.net/profile/Asim_Bhatti2/2?page=2&sorting=recent
Publications
Flight traits of dengue-infected Aedes aegypti mosquitoes
Nouman Javed, Adam López-Denman, Prasad Paradkar, Asim Bhatti
(2024), Vol. 171, pp. 1-12, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1
L Nguyen, N Pham, V Do, L Nguyen, T Nguyen, H Nguyen, Ngoc Nguyen, Thanh Nguyen, S Nguyen, Asim Bhatti, Chee Lim
(2023), Vol. 213, Part C, pp. 1-12, Expert Systems with Applications, Amsterdam, The Netherlands, C1
M Algumaei, I Hettiarachchi, R Veerabhadrappa, A Bhatti
(2023), Vol. 23, pp. 1-15, Sensors, Basel, Switzerland, C1
Flight behaviour monitoring and quantification of aedes aegypti using convolution neural network
N Javed, P Paradkar, A Bhatti
(2023), Vol. 18, pp. 1-19, PloS one, San Francisco, Calif., C1
N Javed, A López-Denman, P Paradkar, A Bhatti
(2023), Vol. 16, Parasites and Vectors, England, C1
Comparative study of encoded and alignment-based methods for virus taxonomy classification
M Shaukat, T Nguyen, E Hsu, S Yang, A Bhatti
(2023), Vol. 13, pp. 18662-, Scientific Reports, England, C1
Mohammed Algumaei, I Hettiarachchi, M Farghaly, A Bhatti
(2023), Vol. 11, pp. 1-22, IEEE Access, Piscataway, N.J., C1
Classification of Inflammatory Gene Expression Patterns with Machine Learning Models
Y Ay, Y Choo, A Bhatti, C Lim
(2023), pp. 115-119, PRML 2023 : Proceedings of the 2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning, Urumqi, China, E1
R Brooks, D Nguyen, A Bhatti, S Allender, M Johnstone, C Lim, K Backholer
(2022), Vol. 25, pp. 1291-1299, Public Health Nutrition, Cambridge, Eng., C1
A Bhandari, R Marwah, Justin Smith, Duy Nguyen, A Bhatti, C Lim, A Lasocki
(2022), Vol. 66, pp. 781-797, Journal of Medical Imaging and Radiation Oncology, London, Eng., C1
Towards designing a generic and comprehensive deep reinforcement learning framework
N Nguyen, T Nguyen, N Pham, H Nguyen, D Nguyen, T Nguyen, C Lim, M Johnstone, A Bhatti, D Creighton, S Nahavandi
(2022), pp. 1-22, Applied Intelligence, Berlin, Germany, C1
R Veerabhadrappa, I Hettiarachchi, S Hanoun, D Jia, S Hosking, A Bhatti
(2022), pp. 1-21, Human Factors, London, Eng., C1
R Veerabhadrappa, I Hettiarachchi, A Bhatti
(2022), pp. 1-8, SysCon 2022 : Proceedings of the 16th Annual IEEE International Systems Conference 2022, Montreal, Canada, E1
Gaze Convergence Based Collaborative Performance Prediction in a 3-Member Joint Activity Setting
R Veerabhadrappa, I Hettiarachchi, A Bhatti
(2022), pp. 1-7, SysCon 2022 : Proceedings of the 16th Annual IEEE International Systems Conference 2022, Montreal, Canada, E1
Physiological Compliance during a Three Member Collaborative Computer Task
M Algumaei, I Hettiarachchi, R Veerabhadrappa, A Bhatti
(2022), Vol. 2022-October, pp. 3348-3353, SMC 2022 : Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Prague, Czech Republic, E1
T Nguyen, P Pathirana, T Nguyen, Q Nguyen, A Bhatti, D Nguyen, D Nguyen, N Nguyen, D Creighton, M Abdelrazek
(2021), Vol. 11, pp. 3487-, Scientific reports, England, C1
Efficient neural spike sorting using data subdivision and unification
M Hassan, R Veerabhadrappa, A Bhatti
(2021), Vol. 16, PLoS ONE, United States, C1
Advances in understanding vector behavioural traits after infection
N Javed, A Bhatti, P Paradkar
(2021), Vol. 10, Pathogens, Switzerland, C1
D Khudhair, J Gaburro, H Hamedani, A Barlow, H Garmestani, A Bhatti
(2021), Vol. 9, Processes, C1
Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data
Rakesh Veerabhadrappa, Imali Hettiarachchi, Asim Bhatti
(2021), pp. 1-8, SysCon 2021 : Proceedings of the 2021 IEEE International Systems Conference, Vancouver, Canada, E1
Imali Hettiarachchi, Samer Hanoun, Rakesh Veerabhadrappa, Dawei Jia, Simon Hosking, Asim Bhatti
(2021), pp. 1-7, SysCon 2021 : Proceedings of the 2021 IEEE International Systems Conference, Vancouver, Canada, E1
Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms
Asim Bhatti
(2021), Vol. 13076, pp. 68-80, FDSE 2021 : Preceedings of the 8th Future Data and Security Engineering International Conference, Virtual Event, E1
Rakesh Veerabhadrappa, Imali Hettiarachchi, My Algumaei, Asim Bhatti
(2021), pp. 1-6, SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1
Wavelet Packet Energy Features for EEG-Based Emotion Recognition
My Algumaei, Imali Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti
(2021), pp. 1935-1940, SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1
R Veerabhadrappa, M Ul Hassan, J Zhang, A Bhatti
(2020), Vol. 14, Frontiers in Systems Neuroscience, Switzerland, C1
Outcomes of Harmonics Use in Thyroid Surgery: A Randomized Control Trial
Muhammad Ansari, Husnain Iqbal, Zulfiqar Anjum, Asim Bhatti
(2020), Vol. 14, pp. 522-524, Pakistan Journal of Medical and Health Sciences, Lahore, Pakistan, C1-1
Masood Ul Hassan, Rakesh Veerabhadrappa, James Zhang, Asim Bhatti
(2020), pp. 1286-1291, SMC 2020 : Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, Toronto, Canada, E1
Visualisation and Quantification of Gaze-strategies in a Dynamic Environment
Rakesh Veerabhadrappa, Imali Hettiarachchi, Samer Hanoun, Dawei Jia, Simon Hosking, Asim Bhatti
(2020), pp. 1-2, DHSS 2020 : Proceedings of the 2020 Defence Human Sciences Symposium, Melbourne, Vic., E1
Rakesh Veerabhadrappa, Imali Hettiarachchi, Samer Hanoun, Dawei Jia, Simon Hosking, Asim Bhatti
(2020), pp. 1-2, DHSS 2020 : Proceedings of the 2020 Defence Human Sciences Symposium, Melbourne, Vic., E1
K Saleh, J Iskander, D Jia, M Hossny, S Nahavandi, C Best, S Hosking, B Rice, A Bhatti, S Hanoun
(2019), pp. 3492-3497, SMC 2018 : The making of a human-centereed cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1
H Zhou, L Wei, R Cao, S Hanoun, A Bhatti, Y Tai, S Nahavandi
(2019), pp. 3022-3026, SMC 2018: Proceedings - IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1
Manipulating soft tissues by deep reinforcement learning for autonomous robotic surgery
N Nguyen, T Nguyen, S Nahavandi, A Bhatti, G Guest
(2019), pp. 1-7, SysCon 2019 : Proceedings of the 2019 IEEE International Systems Conference, Orlando, Florida, E1
Task Assignment in Camera Networks: A Reactive Approach for Manufacturing Environments
S Hanoun, A Bhatti, D Creighton, S Nahavandi, P Crothers, G Carroll
(2018), Vol. 12, pp. 173-183, IEEE Systems Journal, C1
A review on cluster estimation methods and their application to neural spike data
J Zhang, T Nguyen, S Cogill, A Bhatti, L Luo, S Yang, S Nahavandi
(2018), Vol. 15, Journal of Neural Engineering, England, C1-1
J Gaburro, A Bhatti, J Harper, I Jeanne, M Dearnley, D Green, S Nahavandi, P Paradkar, J Duchemin
(2018), Vol. 7, Emerging Microbes and Infections, United States, C1
Zika virus-induced hyper excitation precedes death of mouse primary neuron
J Gaburro, A Bhatti, V Sundaramoorthy, M Dearnley, D Green, S Nahavandi, P Paradkar, J Duchemin
(2018), Vol. 15, Virology Journal, England, C1
J Gaburro, J Duchemin, P Paradkar, S Nahavandi, A Bhatti
(2018), Vol. 8, Scientific Reports, England, C1
Dengue virus infection changes Aedes aegypti oviposition olfactory preferences
J Gaburro, P Paradkar, M Klein, A Bhatti, S Nahavandi, J Duchemin
(2018), Vol. 8, Scientific Reports, England, C1
Dengue virus infection changes Aedes aegypti oviposition olfactory preferences
Julie Gaburro, Prasad Paradkar, Melissa Klein, Asim Bhatti, Saeid Nahavandi, Jean-Bernard Duchemin
(2018), Vol. 8, pp. 1-11, Scientific Reports, Berlin, Germany, C1
Eye behaviour as a hazard perception measure
J Iskander, J Iskander, S Hanoun, S Hanoun, I Hettiarachchi, I Hettiarachchi, M Hossny, M Hossny, K Saleh, K Saleh, H Zhou, H Zhou, S Nahavandi, S Nahavandi, A Bhatti, A Bhatti
(2018), pp. 1-6, SysCon 2018 : Proceedings of the 12th Annual IEEE International Systems Conference, Vancouver, British Columbia, E1
A classifier approach to multi-screen switching based on low cost eye-trackers
J Iskander, J Iskander, I Hettiarachchi, I Hettiarachchi, S Hanoun, S Hanoun, M Hossny, M Hossny, S Nahavandi, S Nahavandi, A Bhatti, A Bhatti
(2018), pp. 1-6, SysCon 2018 : Proceedings of the 12th Annual IEEE International Systems Conference, Vancouver, British Columbia, E1
Age-related effects of multi-screen setup on task performance and eye movement characteristics
J Iskander, D Jia, I Hettiarachchi, M Hossny, K Saleh, S Nahavandi, C Best, S Hosking, B Rice, A Bhatti, S Hanoun
(2018), pp. 3480-3485, SMC 2018 : The making of a human-centered cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1
Mechanism of docosahexaenoic acid in the enhancement of neuronal signalling
Bari, Gaburro, Michalczyk, Ackland, Catherine Williams, A Bhatti
(2017), pp. 99-117, Emerging trends in neuro engineering and neural computation, Singapore, B1
Insects neural model: potential alternate to mammals for electrophysiological studies
Julie Gaburro, Saeid Nahavandi, Asim Bhatti
(2017), pp. 119-130, Emerging trends in neuro engineering and neural computation, Singapore, B1
Microelectrode arrays: architecture, challenges and engineering solutions
Dhurgham Khudhair, Saeid Nahavandi, Hamid Garmestani, Asim Bhatti
(2017), pp. 41-59, Emerging trends in neuro engineering and neural computation, Singapore, B1
Synchronization criteria for delay coupled Izhikevich neurons
Imali Hettiarachchi, Lakshmanan Shanmugam, Asim Bhatti, Saeid Nahavandi
(2017), pp. 131-144, Emerging trends in neuro engineering and neural computation, Singapore, B1
R Veerabhadrappa, A Bhatti, M Berk, S Tye, S Nahavandi
(2017), Vol. 249, pp. 299-313, Neurocomputing, C1
Enhancement of electro-chemical properties of TiO
D Khudhair, H Amani Hamedani, J Gaburro, S Shafei, S Nahavandi, H Garmestani, A Bhatti
(2017), Vol. 77, pp. 111-120, Materials Science and Engineering C, Netherlands, C1
Enhanced decision fusion of semantically segmented images via local majority saliency map
M Hossny, S Nahavandi, D Creighton, C Lim, A Bhatti
(2017), Vol. 53, pp. 1036-1038, Electronics Letters, C1
Emerging trends in neuro engineering and neural computation
Bhatti, C Lim, K Lee, H Garmestani
(2017), Singapore, A7
Enhancement of electrochemical properties of micro/nano electrodes based on TiO2 nanotube arrays
D Khudhair, J Gaburro, S Shafei, A Barlow, S Nahavandi, A Bhatti
(2017), Vol. 829, pp. 1-7, ANNIC 2016 : Proceedings of the Applied Nanotechnology and Nanoscience International Conference, Barcelona, Spain, E1
A framework for designing active pan-tilt-zoom (PTZ) camera networks for surveillance applications
S Hanoun, Z Zhang, V Le, B Khan, M Johnstone, M Fielding, A Bhatti, D Creighton, S Nahavandi
(2017), pp. 1-6, SysCon 2017 : Proceedings of the 11th Annual IEEE International Systems Conference, Montreal, Que., E1
Multiclass EEG data classification using fuzzy systems
T Nguyen, I Hettiarachchi, A Khosravi, S Salaken, A Bhatti, S Nahavandi
(2017), pp. 1-6, FUZZ-IEEE 2017 : Proceedings of the IEEE International Conference on Fuzzy Systems, Naples, Italy, E1-1
Target coverage in camera networks for manufacturing workplaces
S Hanoun, A Bhatti, D Creighton, S Nahavandi, P Crothers, C Esparza
(2016), Vol. 27, pp. 1221-1235, Journal of Intelligent Manufacturing, C1
D Khudhair, A Bhatti, Y Li, H Hamedani, H Garmestani, P Hodgson, S Nahavandi
(2016), Vol. 59, pp. 1125-1142, Materials Science and Engineering C, Netherlands, C1
Unified selective sorting approach to analyse multi-electrode extracellular data
R Veerabhadrappa, C Lim, T Nguyen, M Berk, S Tye, P Monaghan, S Nahavandi, A Bhatti
(2016), Vol. 6, Scientific Reports, England, C1
Chaotic synchronization of time-delay coupled Hindmarsh-Rose neurons via nonlinear control
I Hettiarachchi, S Lakshmanan, A Bhatti, C Lim, M Prakash, P Balasubramaniam, S Nahavandi
(2016), Vol. 86, pp. 1249-1262, Nonlinear Dynamics, C1
RNA-seq count data modelling by grey relational analysis and nonparametric Gaussian process
T Nguyen, A Bhatti, S Yang, S Nahavandi
(2016), Vol. 11, PLoS ONE, United States, C1
J Gaburro, J Duchemin, P Paradkar, S Nahavandi, A Bhatti
(2016), Vol. 9, pp. 1-9, Parasites and Vectors, England, C1
Virtual training for procedural skills development: case studies and lessons learnt
D Jia, A Bhatti, S Nahavandi
(2015), pp. 501-535, Contemporary issues in systems science and engineering, London, Eng., B1
Locally sparsified compressive sensing in magnetic resonance imaging
S Nahavandi, F Razzaq, S Mohamed, A Bhatti, P Brotchie
(2015), pp. 195-210, Integrated systems: innovations and applications, New York, N.Y., B1
Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach
Shanmugam Lakshmanan, C Lim, Asim Bhatti, David Gao, Saeid Nahavandi
(2015), pp. 297-305, Neural Information Processing, Cham, Switzerland, B1-1
Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes
T Nguyen, A Bhatti, A Khosravi, S Haggag, D Creighton, S Nahavandi
(2015), Vol. 153, pp. 199-210, Neurocomputing, Amsterdam, The Netherlands, C1
Force reflection distribution of haptic devices
M Hossny, A Bhatti, S Nahavandi, R Tilove
(2015), pp. 1-9, ICSPCS 2014 : Proceedings of the 8th International Conference on Signal Processing and Communications Systems, Gold Coast, Queensland, E1-1
Intuitive haptics interface with accurate force estimation and reflection at nanoscale
A Bhatti, B Khan, S Nahavandi, S Hanoun, D Gao
(2015), Vol. 95, pp. 507-514, WCGO 2015 : Advances in Global Optimization. Proceedings of the 3rd World Congress of Global Optimaization, Gainesville, Fla., E1
Noise level classification for EEG using Hidden Markov Models
S Haggag, S Mohamed, A Bhatti, H Haggag, S Nahavandi
(2015), pp. 439-444, SoSE 2015 : Proceedings of the 10th IEEE International Conference on System of Systems Engineering, San Antonio, Tex., E1
Activity and flight trajectory monitoring of mosquito colonies for butomated behaviour analysis
B Khan, J Gaburro, S Hanoun, J Duchemin, S Nahavandi, A Bhatti
(2015), pp. 548-555, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1
Multivariate autoregressive-based neuronal network flow analysis for in-vitro recorded bursts
I Hettiarachchi, A Bhatti, P Adlard, S Nahavandi
(2015), Vol. 9492, pp. 324-331, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1
Optimal feature subset selection for neuron spike sorting using the genetic algorithm
B Khan, A Bhatti, M Johnstone, S Hanoun, D Creighton, S Nahavandi
(2015), Vol. 9490, pp. 364-370, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1
Dynamical analysis of neural networks with time-varying delays using the LMI approach
L Shanmugam, C Lim, A Bhatti, D Gao, S Nahavandi
(2015), Vol. 9491, pp. 297-305, 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings Part III, Istanbul, Turkey, E1
Statistical modelling of artificial neural network for sorting temporally synchronous spikes
R Veerabhadrappa, A Bhatti, C Lim, T Nguyen, S Tye, P Monaghan, S Nahavandi
(2015), Vol. 9491, pp. 261-272, 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings Part III, Istanbul, Turkey, E1
Neuron's spikes noise level classification using hidden markov models
S Haggag, S Mohamed, A Bhatti, H Haggag, S Nahavandi
(2014), Vol. 8836, pp. 501-508, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1
Sparse coding for improved signal-to-noise ratio in MRI
F Razzaq, S Mohamed, A Bhatti, S Nahavandi
(2014), Vol. 8836, pp. 258-265, Neural Information Processing, Germany, B1
Neurophysiology of insects using microelectrode arrays: Current trends and future prospects
J Gaburro, J-B Duchemin, A Bhatti, P Walker, S Nahavandi
(2014), Vol. 8836, pp. 493-500, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Berlin, Germany, B1
Neural signal analysis by landmark-based spectral clustering with estimated number of clusters
T Nguyen, A Khosravi, A Bhatti, D Creighton, S Nahavandi
(2014), pp. 4042-4049, IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural Networks, Beijing, China, E1
Neural spike representation using Cepstrum
S Haggag, S Mohamed, A Bhatti, H Haggag, S Nahavandi
(2014), pp. 97-100, SOSE 2014 : The Socio-Technical Perspective : Proceedings of the 9th International Conference on System of Systems Engineering, Adelaide, South Australia, E1
Human performance measures for interactive haptic-audio-visual interfaces
D Jia, A Bhatti, S Nahavandi, B Horan
(2013), Vol. 6, pp. 46-57, IEEE transactions on haptics, Piscataway, N.J., C1
H Hamedani, S Lee, A Al-Sammarraie, Z Hesabi, A Bhatti, F Alamgir, H Garmestani, M Khaleel
(2013), Vol. 5, pp. 9026-9033, ACS applied materials and interfaces, Washington, D.C., C1
Performance evaluation of multi-frame super-resolution algorithms
K Nelson, A Bhatti, S Nahavandi
(2013), pp. 1-8, DICTA 2012 : International Conference on Digital Image Computing Techniques and Applications, Fremantle, Western Australia, E1
Image fusion metrics : evolution in a nutshell
M Hossny, S Nahavandi, D Creighton, B Asim, M Hassan
(2013), pp. 443-450, UKSim 2013 : Proceedings of the 15th International Conference on Computer Modelling and Simulation, Cambridge, England, E1
Defining sub-regions in locally sparsified compressive sensing MRI
F Razzaq, S Mohamed, A Bhatti, S Nahavandi
(2013), pp. 360-367, BioMed 2013 : Proceedings of the 10th IASTED International Conference on Biomedical Engineering, Innsbruck, Austria, E1
Cepstrum based unsupervised spike classification
S Haggag, S Mohamed, A Bhatti, N Gu, H Zhou, S Nahavandi
(2013), pp. 3716-3720, SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, England, E1
Locally sparsified compressive sensing for improved MR image qualtity
F Razzaq, S Mohamed, A Bhatti, S Nahavandi
(2013), pp. 2163-2167, SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, England, E1
Haptics interface for modelling and simulation of flexible cables
S Nahavandi, A Bhatti, M Hossny, D Creighton, R Tilove
(2013), pp. 6-11, ICITA 2013 : Proceedings of the Information Technology and Applications 2013 conference, Sydney, N.S.W., E1
Spike sorting using hidden markov models
H Zhou, S Mohamed, A Bhatti, C Lim, N Gu, S Haggag, S Nahavandi
(2013), pp. 553-560, ICONIP 2013 : Neural Information Processing : 20th International Conference, Daegu, Korea, November 2013 Proceedings, Part 1, Daegu, Korea, E1
Generation of 3D sparse feature models using multiple stereo views
M Watson, A Bhatti, H Abdi, S Nahavandi
(2012), pp. 143-160, Current advancements in stereo vision, Rijeka, Croatia, B1
D Jia, A Bhatti, S Nahavandi
(2012), Vol. iFirst article, pp. 1-20, Behaviour & information technology, Colchester, England, C1
Super-resolution of a 3-dimensional scene from novel viewpoints
K Nelson, A Bhatti, S Nahavandi
(2012), pp. 1380-1385, ICARCV 2012 : Proceedings of the 12th International Conference on Control, Automation, Robotics and Vision, Guangzhou, China, E1
Non-uniform sparsity in rapid compressive sensing MRI
F Razzaq, S Mohamed, A Bhatti, S Nahavandi
(2012), pp. 2253-2258, SMC 2012 : Proceedings of the 2012 IEEE International Conference on Systems, Man, and Cybernetics, Seoul, Korea, E1
Impact of wavelets and multiwavelets bases on stereo correspondence estimation problem
A Bhatti, S Nahavandi
(2011), pp. 17-34, Advances in theory and applications of stereo vision, Rijeka, Croatia, B1-1
3D sparse feature model using short baseline stereo and multiple view registration
M Watson, A Bhatti, S Nahavandi
(2011), pp. 1-4, ICMT 2011 : Proceedings of the 15th International Conference on Mechatronics Technology : Precision Mechatronics for Advanced Manufacturing, Service, and Medical Sectors, Melbourne, Vic., E1
D Jia, A Bhatti, S Nahavandi
(2011), pp. 263-272, ASME 2011 : World Conference on Innovative Virtual Reality (WINVR), Milan, Italy, E1
Knowledge visualization for engineered systems
S Nahavandi, D Jia, A Bhatti
(2010), pp. 5-13, Knowledge-based and intelligent information and engineering systems, Berlin, Germany, B1
M Hossny, S Nahavandi, D Creighton, A Bhatti
(2010), Vol. 46, pp. 1266-1268, Electronics Letters, Hertfordshire, England, C1
Towards autonomous image fusion
M Hossny, S Nahavandi, D Creighton, A Bhatti
(2010), pp. 1748-1754, ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision, Singapore, E1
Wavelets/multiwavelets bases and correspondence estimation problem : an analytic study
A Bhatti, S Nahavandi, M Hossny
(2010), pp. 1725-1730, ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision, Singapore, E1
D Jia, A Bhatti, S Nahavandi, D Creighton
(2010), pp. 1-6, SimTecT 2010 : Conference Proceedings : Simulation – Improving Capability and Reducing the Cost of Ownership, Brisbane, Qld., E1
Wavelets/multiwavelets analysis of AFM images for haptics enabled force feedback framework
A Bhatti, S Nahavandi
(2010), pp. 1-1, ICNFA 2010 : : Proceedings of the Nanotechnology : Fundamentals and Applications 2010 International Conference, Ottawa, Canada, E1-1
D Jia, A Bhatti, C Mawson, S Nahavandi
(2009), Vol. 5622, pp. 196-205, Lecture notes in computer science, Heidelberg, Germany, C1
Haptically enabled interactivity and immersive virtual assembly
A Bhatti, D Creighton, S Nahavandi, Y Khoo, J Anticev, M Zhou
(2009), pp. 1-10, AutoCRC Conference 2009 : conference proceedings, Melbourne, Victoria, E1
Haptically enable interactive virtual assembly training system development and evaluation
A Bhatti, S Nahavandi, Y Khoo, D Creighton, J Anticev, M Zhou
(2009), pp. 1-6, SIMTECT 2009 : Proceedings of the 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Adelaide, South Australia, E1
Systematic evaluation of a virtual environment-based training systems
D Jia, A Bhatti, S Nahavandi
(2009), pp. 1-6, SIMTECT 2009 : Proceedings of the 2009 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Adelaide, South Australia, E1
MUSTe method for quantifying virtual environment training system efficacy
D Jia, A Bhatti, S Nahavandi
(2009), pp. 305-308, OZCHI 2009 : Proceedings of the Australian Computer-Human Interaction Special Interest Group 2009 2009 conference, Melbourne, Victoria, E1
Wavelets/multiwavelets in stereo correspondence estimation: a comparative study
A Bhatti, S Nahavandi
(2009), pp. 309-316, DICTA 2009 : Proceedings of the Digital Image Computing : Techniques and Application 2009 conference, Melbourne, Vic., E1
Haptics enabled offline AFM image analysis
A Bhatti, S Nahavandi, M Hossny
(2009), pp. 446-451, ICIVC 2009 : Proceedings of the Image and Vision Computing 2009 international conference, Dubai, United Arab Emirates, E1
Design and evaluation of a haptically enable virtual environmentfor object assembly training
D Jia, A Bhatti, S Nahavandi
(2009), pp. 1-6, HAVE 2009 : Proceeding of the IEEE Haptic Audio Visual Environments and Games 2009 workshop, Lecco, Italy, E1
Stereo correspondence estimation based on wavelets and multiwavelets analysis
A Bhatti, S Nahavandi
(2008), pp. 27-48, Stereo Vision, Vienna, Austria, B1
A Bhatti, S Nahavandi
(2008), Vol. 39, pp. 641-665, Cybernetics and systems, Abingdon, England, C1
Depth estimation of metallic objects using multiwavelets scale-space representation
A Bhatti, S Nahavandi
(2008), Vol. 2, pp. 175-207, Current development in theory and applications of wavelets, India, C1
Depth estimation using multiwavelet analysis based stereo vision approach
A Bhatti, S Nahavandi
(2008), Vol. 6, pp. 481-497, International journal of wavelets, multiresolution and information processing, New Jersey, C1
Haptically enabled interactive virtual reality prototype for general assembly
A Bhatti, Y Khoo, D Creighton, J Anticev, S Nahavandi, M Zhou
(2008), pp. 1-6, WAC '08 : Proceedings of the World Automation Congress '08, Waikoloa, T.H., E1
3D depth estimation for visual inspection using wavelet transform modulus maxima
A Bhatti, S Nahavandi, Y Frayman
(2007), Vol. 33, pp. 48-57, Computers & electrical engineering, Oxford, England, C1
Depth estimation using multi-wavelet analysis based stereo vision approach
A Bhatti, S Nahavandi
(2007), pp. 1471-1476, Wavelet analysis and pattern recognition, Beijing, China, E1
Stereo image matching using wavelet scale-space representation
A Bhatti, S Nahavandi
(2006), pp. 267-272, CGIV 2006 : Proceedings of the 2006 International Conference on Computer Graphics, Imaging and Visualisation, Sydney, New South Wales, E1-1
A multi-wavelet based technique for calculating dense 2D disparity maps from stereo
A Bhatti, S Nahavandi, Y Frayman
(2004), pp. 1-6, Robotics : trends, principles, and applications : proceedings of the Sixth Biannual World Automation Congress (WAC), ISORA, Seville, Spain, Seville, Spain, E1
Image matching using TI multi-wavelet transform
A Bhatti, S Nahavandi, H Zheng
(2003), pp. 937-946, Digital image computing : techniques and applications ; proceedings of the VIIth Biennial Australian Pattern Recognition Society Conference, DICTA 2003, Sydney, Australia, E1
Stereo image matching using multi-wavelets
A Bhatti, S Nahavandi, H Zheng
(2003), pp. 235-238, Proceedings of the 1st International Light Metals Technology Conference 2003 : 18-20 September 2003, Brisbane, Australia, Brisbane, Queensland, E1
Disparity estimation using TI multi-wavelet transform
A Bhatti, S Nahavandi, H Zheng
(2003), pp. 411-418, InTech 03 : Proceedings of the Fourth International Conference on Intelligent Technologies, Thailand, E1
Multi-wavelets from B-spline super-functions with approximation order
H Ozkaramanli, A Bhatti, B Bilgehan
(2002), Vol. 82, pp. 1029-1046, Signal processing, Amsterdam, Netherlands, C1-1
Multi-wavelets from spline super-functions with approximation order
H Ozkaramanli, A Bhatti, B Bilgehan
(2001), Vol. 2, pp. 525-528, Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on, Sydney, NSW, E1-1
Funded Projects at Deakin
Australian Competitive Grants
Enabling Ambient Intelligence for Manufacturing Processes through Distributed Camera Networks
Prof Saeid Nahavandi, Prof Douglas Creighton, Dr Nong Gu, Prof Asim Bhatti
Linkage PhD student, ARC Linkage - Projects Rnd 2
- 2014: $47,961
- 2013: $93,110
- 2012: $89,660
- 2011: $43,169
Other Public Sector Funding
Team State Monitoring and Performance Assessment Using Eye Tracking
Prof Asim Bhatti, A/Prof Samer Hanoun, Prof Chee Peng Lim, Prof Saeid Nahavandi
DSTO Grant - Research - Defence Science & Technology Organisation
- 2018: $29,882
- 2017: $69,726
Operational Readiness Assessment using Virtual Reality
A/Prof Samer Hanoun, Prof Asim Bhatti, Prof Saeid Nahavandi
DSTO Grant - Research - Defence Science & Technology Organisation
- 2018: $29,570
- 2017: $68,998
Low Cost Multi-Operator Eye Tracking in Dynamic Team Tasks
Prof Asim Bhatti, A/Prof Samer Hanoun, Dr Mohammed Hossny, Prof Saeid Nahavandi
DSTO Grant - Research - Defence Science & Technology Organisation
- 2018: $29,923
- 2017: $70,000
Instructor-Student Gaze Coupling in Air-Battle Management Training.
Prof Asim Bhatti, Dr Imali Hettiarachchi, A/Prof Samer Hanoun, Prof Saeid Nahavandi
DSTO Grant - Research - Defence Science & Technology Organisation
- 2019: $99,923
Multimodal Quantification of Operator State through Adaptive Team Training in Command and Control.
Prof Asim Bhatti, Dr Imali Hettiarachchi, A/Prof Samer Hanoun, Prof Saeid Nahavandi
DSTO Grant - Research - Defence Science & Technology Organisation
- 2020: $54,445
- 2019: $20,000
Close quarter battle optimised eye tracking glasses.
Prof Asim Bhatti, Dr Navid Mohajer
DSTO Grant - Research - Defence Science & Technology Organisation
- 2020: $100,000
Quantification of behaviour modification due to electrophysiological changes in the brain.
Prof Asim Bhatti, Mr Nouman Javed
CSIRO Scholarship - Commonwealth Scientific and Industrial Research Organisation
- 2023: $7,000
- 2022: $7,000
- 2021: $7,000
Creating effective teams through physiological and behavioural quantification.
Prof Asim Bhatti, Dr Imali Hettiarachchi
Department of Economic Development, Jobs, Transports and Resources
- 2021: $15,000
Virtual firefighting training simulation with real time performance monitoring - HotFire Trainer
Prof Saeid Nahavandi, Prof Asim Bhatti, A/Prof Samer Hanoun, Dr Darius Nahavandi, A/Prof Shady Mohamed, Dr Matthew Watson, Prof Abbas Khosravi, Dr Navid Mohajer, Mr Syed Salaken
DoD Grant - Research - Department of Defence
- 2023: $1,099,508
- 2022: $2,384,566
- 2021: $1,178,725
DIGITAL-YOUTH: An intelligent systems approach to monitoring harmful online advertising to children and youth
Prof Kathryn Backholer, Dr Bridget Kelly, Dr Becky Freeman, Dr Nicholas Carah, Dr Florentine Martino, Prof Asim Bhatti, Prof Anna Peeters
Victorian Responsible Gambling Foundation, VicHealth - Partnership
- 2023: $70,000
Optimisation of visual display technology for elite pilots.
Dr Amanda Douglass, A/Prof Larry Abel, Miss Kate Coffey, A/Prof Shady Mohamed, A/Prof Houshyar Asadi, Dr Darius Nahavandi, Prof Asim Bhatti
Department of Defence
- 2024: $29,430
- 2023: $90,375
- 2022: $156,780
Industry and Other Funding
Feasibility of Robot vision for dimensional inspection of vision guided assembly
Prof Saeid Nahavandi, Prof Asim Bhatti
Vestas Technology UK
- 2010: $59,026
Enabling Ambient Intelligence for Manufacturing Processes through Distributed Camera Networks
Prof Saeid Nahavandi, Prof Douglas Creighton, Dr Nong Gu, Prof Asim Bhatti
HOLDEN Holden, Boeing Defence Australia
- 2015: $56,000
- 2013: $28,000
- 2012: $28,000
- 2011: $84,000
Project Twenty Twenty Discovery and Scoping Stage
Prof Douglas Creighton, Prof Chee Peng Lim, Prof Asim Bhatti
V\Line Pty Ltd
- 2018: $192,545
- 2017: $171,500
Developing novel methods to monitor the digital marketing of products that increase the risk of cancer to children: An intelligent systems approach
Prof Kathryn Backholer, Prof Asim Bhatti, Prof Chee Peng Lim, Prof Anna Peeters, Prof Colin Bell, Dr Becky Freeman, A/Prof Michael Johnstone, Dr Christina Zorbas, Jane Martin
Cancer Council Victoria Grant - Research
- 2022: $95,849
- 2021: $191,699
- 2020: $95,849
DIGITAL-YOUTH: An intelligent systems approach to monitoring harmful online advertising to children and youth
Prof Kathryn Backholer, Dr Bridget Kelly, Dr Becky Freeman, Dr Nicholas Carah, Dr Florentine Martino, Prof Asim Bhatti, Prof Anna Peeters
Ian Potter Foundation Grant - Research, Cancer Council Victoria
- 2023: $180,000
- 2022: $270,000
Mixed Realty Haptics Simulator for Seldinger based Procedures
Prof Asim Bhatti, Prof Saeid Nahavandi, Dr Rakesh Veerabhadrappa
Haptisim PTY LTD
- 2023: $80,605
- 2022: $105,406
Automated Detection of Task Completion and Quality Assessment using Wearable Technology (iPupilX).
Prof Asim Bhatti
Boeing Defence Australia Ltd
- 2023: $42,000
- 2022: $144,000
Children's exposure to high fat, sugar amd salt food and drink advertising and response to brand advertising: a robust and comprehensive baseline assessment and qualitative exploration.
Prof Kathryn Backholer, Prof Asim Bhatti
National Institute for Health Research NIHR
- 2023: $12,121
- 2022: $18,345
Reducing the exposure of children and adolscents to digital marketing of unhealthy foods.
Prof Kathryn Backholer, Prof Asim Bhatti
The Food Safety Promotion Board (Safefood)
- 2023: $11,319
Other Funding Sources
Ingress / Egress Ergonomic Assessment
Prof Saeid Nahavandi, Prof Douglas Creighton, Dr Mohammed Hossny, Mr Shady Mohamed, Prof Asim Bhatti, Dr Lei Wei
AutoCRC Ltd
- 2016: $5,954
- 2015: $491,403
Ingress/Egress Ergonomic Assessment: Automating Posture Modification
Prof Saeid Nahavandi, Prof Douglas Creighton, Dr Mohammed Hossny, A/Prof Shady Mohamed, Prof Asim Bhatti, Dr Lei Wei, Dr Imali Hettiarachchi, Prof Abbas Khosravi
AutoCRC Ltd
- 2017: $525,600
Supervisions
Nouman Javed
Thesis entitled: Quantification of Viral Infection-Induced Behavioural Changes in Vectors Using Artificial Intelligence
Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation
Rakesh Veerabhadrappa
Thesis entitled: Applied Multimodal Framework for Evaluating and Forecasting Team Performance
Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation
Julie Gaburro
Thesis entitled: Arbovirus and Mosquito Vector: Behaviour and Neurophysiological Interactions
Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation
Dhurgham Ismael Khudhair
Thesis entitled: Nano electrode based on TiO2 nanotubes for neural interfacing
Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation
Dawei Jia
Thesis entitled: Multidimensional Evaluation Framework for Virtual Environment Efficacy Assessment
Doctor of Philosophy (Information Technology), Centre for Intelligent Systems Research.
Ngoc Duy Nguyen
Thesis entitled: A Deep Reinforcement Learning Framework for Human-Level Agents.
Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation
Aung Kyaw Soe
Thesis entitled: A Modular Design Framework for Lab-On-a-Chips
Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation
Fuleah Abdul Razzaq
Thesis entitled: Non-Uniform Sparsity in MRI
Doctor of Philosophy (Information Technology), Centre for Intelligent Systems Research.
Kyle James Nelson
Thesis entitled: Super-resolution of 3-dimensional Scenes
Doctor of Philosophy (Engineering), Centre for Intelligent Systems Research.
Sara Farag
Thesis entitled: Towards parameterless 3D mesh segmentation
Doctor of Philosophy (Engineering), Centre for Intelligent Systems Research.
Matthew Watson
Thesis entitled: Condensing A Priori Data for Recognition Based Augmented Reality
Doctor of Philosophy (Engineering), Centre for Intelligent Systems Research.