Research Output per year
Personal profile
Personal profile
Dr Anwaar Ulhaq is serving as a lecturer in School of Computing and Mathematics, Charles Sturt University. Anwaar holds PhD (Artificial Intelligence) from Monash University, Australia. He has an extensive teaching and research experience of working at reputed Australian universities including Victoria University, Swinburne University of Technology and Central Queensland University. He has also worked a research fellow at Institute for Sustainable Industries & Liveable Cities, Victoria University, Australia. His research interests include signal and image processing, deep learning, data analytics and computer vision. He has received CSU Teaching Excellence Award in 2018.
Education/Academic qualification
Artificial Intelligence, PhD
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Network
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Research Output
Active contours with local and global energy based‐on fuzzy clustering and maximum a posterior probability for retinal vessel detection
Wang, X., Jiang, Z., Li, W., Zarei, R., Huang, G., Ul-Haq, A., Yin, X., Zhang, B., Shi, P., Guo, M. & He, J., 10 Apr 2020, In : Concurrency and Computation: Practice and Experience. 32, 7, p. 1-14 14 p., e5599.Research output: Contribution to journal › Article
Open Access
Can data fusion increase the performance of action detection and recognition in the dark?
Ul-Haq, A., 2020, Statistics for data science and policy analysis. Raman, A. (ed.). Springer NatureResearch output: Book chapter/Published conference paper › Conference paper
Detection of vegetation in environmental repeat photography: A new algorithmic approach in data science
Khan, A., Ul-Haq, A., ur Rehman, M. & Robinson, R. W., 2020, Statistics for Data Science and Policy Analysis. Rahman, A. (ed.). 1 ed. Springer SingaporeResearch output: Book chapter/Published conference paper › Conference paper
Evaluating faster-RCNN and YOLOv3 for target detection in multi-sensor data
Ul-Haq, A., Khan, A. & Robinson, R. W., 2020, Statistics for Data Science and Policy Analysis.Research output: Book chapter/Published conference paper › Conference paper
Vegetation high-impedance faults’ high-frequency signatures via sparse coding
Gomes, D. P. S., Ozansoy, C. & Ul-Haq, A., Jul 2020, In : IEEE Transactions on Instrumentation and Measurement. p. 1-10 10 p.Research output: Contribution to journal › Article
Prizes
Press / Media
TC9 Launches Reformed Working Group on Intelligent Communities
Sabih Rehman, Oliver Burmeister, Jenni Greig, Adam Poulsen, Anwaar Ul-Haq, David Kreps, Eduard Fosch-Villaronga & Shah Miah
28/05/20
1 item of Media coverage
Press/Media: Press / Media
Worldwide smartphone COVID19 apps research
Ashad Kabir, Anwaar Ul-Haq, Oliver Burmeister, Lihong Zheng & Zahid Islam
19/05/20
1 Media contribution
Press/Media: Press / Media
Y2K 20 years on: what was all the fuss about?
31/12/19
1 item of Media coverage
Press/Media: Press / Media
Computer science researchers are using thermal imaging to help locate animals in firezones
04/12/19
1 item of Media coverage
Press/Media: Press / Media
Could robots help the elderly feel less lonely?
08/05/19
1 Media contribution
Press/Media: Press / Media