Biography
Tim Wilkin received the BSc (Hons) degree in applied mathematics from Monash University in 1997, the Graduate Certificate in Higher Education in 2011 and the PhD degree in computer science and mathematics from Deakin University in 2014. He is currently an Associate Professor in Computer Science, within the School of Information Technology, Deakin University.
Dr Wilkin's research interests cover problems in artificial intelligence, computer vision and sensor analytics, with applications in intelligent control for robotics and autonomous systems, embedded AI and intelligent sensing. His research has been applied in diverse areas, from marine ecology to childhood health, and autonomous aircraft. Dr Wilkin received the Best Paper Award at PRICAI 2000, and the Alfred Deakin Medal for Doctoral Thesis in 2015.
Dr Wilkin is also an innovative and award-winnning teacher. For his work in the development and use of technologies to foster and support independent learning, he was awarded the “Jim and Alison Leslie Award for Outstanding Achievement in Teaching and Learning” by Deakin University in 2013, and an Office for Learning and Teaching Citation for Outstanding Contributions to Student Learning in 2014.
Read more on Tim's profileResearch interests
Embedded AI, intelligent sensing and smart devices; real-time computer vision and sensor analytics, signal processing of streaming spatio-temporal data; intelligent control for robotics and autonomous systems, vision in the control loop.
Affiliations
Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University
Professional activities
Member, Institute of Electrical and Electronics Engineers (IEEE)
Member, Australian Computer Society (ACS)
Awards
2017 Vice Chancellor's Award for Outstanding Contribution to Creating Enchanced Digital Environments (Deakin University)
2015 Alfred Deakin Medal for Doctoral Thesis (Deakin University)
2014 OLT Citation for Outstanding Contribution to Student Learning (Commonwealth Government)
2013 Jim & Allison Leslie Award for Outstanding Achievement in Teaching and Learning (Deakin University)
2000 Best Paper Award, Pacific Rim International Conference on Artificial Intelligence
Publications
Scott Tagliaferri, Patrick Owen, Clint Miller, Maia Angelova, Bernadette Fitzgibbon, Tim Wilkin, Hugo Masse-Alarie, Jessica Van Oosterwijck, Guy Trudel, David Connell, Anna Taylor, Daniel Belavy
(2023), Vol. 13, pp. 1-17, Scientific Reports, London, Eng., 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
Robust aggregation of compositional and interval-valued data: the mode on the unit simplex
T Wilkin, G Beliakov
(2021), pp. 1-20, Fuzzy sets and systems, Amsterdam, The Netherlands, C1
VADER: A hardware and simulation platform for visually aware drone autonomy research
A Buck, M Deardorff, D Anderson, T Wilkin, J Keller, G Scott, R Luke, R Camaioni
(2021), Vol. 11758, pp. 1-15, Proceedings of the SPIE : Unmanned Systems Technology XXIII, Online, E1
Earth Mover's Distance as a Similarity Measure for Linear Order Statistics and Fuzzy Integrals
M Deardorff, D Anderson, T Havens, B Murray, S Kakula, T Wilkin
(2021), Vol. 2021-July, pp. 1-8, FUZZ-IEEE 2021 : Proceedings of the IEEE International Conference on Fuzzy Systems, Luxembourg, E1
A Gaddam, T Wilkin, M Angelova, J Gaddam
(2020), Vol. 9, Electronics (Switzerland), C1
S Tagliaferri, M Angelova, X Zhao, P Owen, C Miller, T Wilkin, D Belavy
(2020), Vol. 3, npj Digital Medicine, England, C1
Information fusion-2-text: explainable aggregation via linguistic protoforms
B Murray, D Anderson, T Havens, T Wilkin, A Wilbik
(2020), Vol. 1239, pp. 114-127, IPMU 2020 : Proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Lisbon, Portugal, E1
Extending deep learning to new classes without retraining
J Schulz, C Veal, A Buck, D Anderson, J Keller, M Popescu, G Scott, D Ho, T Wilkin
(2020), Vol. 11418, pp. 1141803-1-1141803-14, Proceedings of SPIE Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, Online Only, United States, E1
Doing more with less: similarity neural nets and metrics for small class imbalanced data sets
C Veal, J Schulz, A Buck, D Anderson, J Keller, M Popescu, G Scott, D Ho, T Wilkin
(2020), Vol. 11418, pp. 1141802-1-1141802-12, Proceedings of SPIE Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, Online Only, United States, E1
A Weighted Matrix Visualization for Fuzzy Measures and Integrals
Andrew Buck, Derek Anderson, James Keller, Timothy Wilkin, Muhammad Islam
(2020), 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, E1
On a Paradox of Extended Linguistic Summaries
Anna Wilbik, Timothy Havens, Tim Wilkin
(2020), IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom, E1
The mode of interval-valued data
T Wilkin, G Beliakov
(2019), FUZZ-IEEE 2019 : IEEE International Conference on Fuzzy Systems, New Orleans, Louisiana, 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
Aggregation of dependent criteria in multicriteria decision making problems by means of capacities
G Beliakov, S Boswell, T Cao, R Dazeley, V Mak-Hau, M Nguyen, T Wilkin, J Yearwood
(2019), pp. 228-234, MODSIM2019 : Supporting evidence-based decision making: the role of modelling and simulation : Proceedings of the 23rd International Congress on Modelling and Simulation, Canberra, A.C.T., E1
Robustifying OWA operators for aggregating data with outliers
G Beliakov, S James, T Wilkin, T Calvo
(2018), Vol. 26, pp. 1823-1832, IEEE Transactions on Fuzzy Systems, Piscataway, N.J., C1
Identifying items for moderation in a peer assessment framework
S James, E Lanham, V Mak-Hau, L Pan, T Wilkin, G Wood-Bradley
(2018), Vol. 162, pp. 211-219, Knowledge-Based Systems, C1
Fuzzy Connectives for Efficient Image Reduction and Speeding Up Image Analysis
G Beliakov, G Das, H Vu, T Wilkin, Y Xiang
(2018), Vol. 6, pp. 68403-68414, IEEE Access, C1
Aggregation and consensus for preference relations based on fuzzy partial orders
G Beliakov, S James, T Wilkin
(2017), Vol. 16, pp. 409-428, Fuzzy optimization and decision making, Berlin, Germany, C1
Evaluating sensor placement and modality for activity recognition in active games
S Mckenzie, S Bangay, N Jablonsky, T Wilkin
(2017), pp. 1-8, ACSW '17 : Proceedings of the Australasian Computer Science Week Multiconference, Geelong, Victoria, E1
Online peer marking with aggregation functions
S James, L Pan, T Wilkin, L Yin
(2017), pp. 1-6, FUZZ-IEEE 2017 : IEEE International Conference on Fuzzy Systems, Naples, Italy, E1
Robust image denoising and smoothing with generalised spatial-tonal Averages
T Wilkin, G Beliakov
(2017), pp. 1-7, FUZZ-IEEE 2017 : Proceedings of the IEEE International Conference on Fuzzy Systems, Naples, Italy, E1
Robust OWA-based aggregation for data with outliers
G Beliakov, S James, T Wilkin, T Calvo
(2016), pp. 1874-1879, FUZZ-IEEE 2016 : Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, Vancouver, Canada, E1
Weakly monotonic averaging functions
T Wilkin, G Beliakov
(2015), Vol. 30, pp. 144-169, International Journal of Intelligent Systems, NJ, United States, C1
On the weak monotonicity of Gini means and other mixture functions
G Beliakov, T Calvo, T Wilkin
(2015), Vol. 300, pp. 70-84, Information Sciences, Amsterdam, The Netherlands, C1
Characterizing compactness of geometrical clusters using fuzzy measures
G Beliakov, G Li, H Vu, T Wilkin
(2015), Vol. 23, pp. 1030-1043, IEEE transactions on fuzzy systems, Piscataway, N.J., C1
Biased experts and similarity based weights in preferences aggregation
G Beliakov, S James, L Smith, T Wilkin
(2015), Vol. 89, pp. 363-370, EUSFLAT 2015: Proceedings of the 16th World Congress of the International-Fuzzy-Systems-Association (IFSA) / 9th Conference of the European-Society-for-Fuzzy-Logic-and-Technology, Gijon, Spain, E1
Construction and aggregation of preference relations based on fuzzy partial orders
G Beliakov, S James, T Wilkin
(2015), pp. 1-8, FUZZ-IEEE 2015: Proceedings of the IEEE International Conference on Fuzzy Systems, Istanbul, TURKEY, E1
Weakly monotone averaging functions
T Wilkin, G Beliakov, T Calvo
(2014), Vol. 444 CCIS, pp. 364-373, Communications in Computer and Information Science, Cham, Switzerland, B1
On some properties of weighted averaging with variable weights
G Beliakov, T Wilkin
(2014), Vol. 281, pp. 1-7, Information sciences, Philadelphia, PA, C1
Vector valued similarity measures for Atanassov's intuitionistic fuzzy sets
G Beliakov, M Pagola, T Wilkin
(2014), Vol. 280, pp. 352-367, Information sciences, Philadelphia, PA, C1
Three types of monotonicity of averaging functions
G Beliakov, T Calvo, T Wilkin
(2014), Vol. 72, pp. 114-122, Knowledge-Based Systems, Amsterdam , Netherlands, C1
On weak monotonicity of some mixture functions
T Calvo, G Beliakov, T Wilkin
(2014), pp. 297-302, ESTYLF 2014 : Proceedings of the 17th Spanish Congress on Fuzzy Logic and Technology, Zaragoza, Spain, E1
Fuzzy measures of pixel cluster compactness
G Beliakov, G Li, H Vu, T Wilkin
(2014), pp. 1104-1111, FUZZ-IEEE 2014 : Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, Beijing, China, E1
G Beliakov, D Creighton, M Johnstone, T Wilkin
(2013), Vol. 184, pp. 1999-2004, Computer physics communications, Amsterdam, The Netherlands, C1
Emergent effects in massive agent swarms in real-time game environments
O Knight, T Wilkin, S Bangay
(2013), pp. 114-118, IGIC 2013 : Proceedings of the 5th International IEEE Consumer Electronic Society Games Innovation Conference, Vancouver, BC, Canada, E1
Image reduction operators based on non-monotonic averaging functions
T Wilkin
(2013), FUZZ-IEEE 2013 : Proceedings of the IEEE International Conference on Fuzzy Systems, Hyderabad, India, E1
G Beliakov, M Johnstone, D Creighton, T Wilkin
(2012), pp. 1-18, Computing, Wein, Austria, C1
Adaptive control of the closed loop behaviour of manufacturing processes
T Wilkin, Y Frayman, B Rolfe
(2006), pp. 1-9, 8th biennial ASME conference on engineering systems design and analysis July 4-7, 2006, Torino, Italy, Torino, Italy, E1
A probabilistic prediction-based replanning architecture for a UAV
T Wilkin, A Nicholson, T Dix
(2004), Vol. 37, pp. 938-943, IFAC Proceedings Volumes (IFAC-PapersOnline), E1-1
Funded Projects at Deakin
Other Public Sector Funding
Intelligent Power Management for eShepherd Collar
A/Prof Tim Wilkin, A/Prof Chandan Karmakar, Prof Seng Loke
Department of Industry, Innovation and Science
- 2018: $38,959
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
Scaling Force Effectiveness Modelling and Assessment Methods.
Prof Vicky Mak, Prof John Yearwood, Prof Gleb Beliakov, Prof Richard Dazeley, A/Prof Tim Wilkin
The Defence Science and Technology Group of the Department of Defence
- 2021: $49,221
- 2020: $114,880
- 2019: $131,293
A competency-aware multi-agent framework for human-machine teams in adversarial environments.
Prof Richard Dazeley, Dr Sunil Aryal, A/Prof Tim Wilkin
DSTO Grant - Research - Defence Science & Technology Organisation
- 2022: $26,118
- 2021: $125,124
ERP16 USE OF EMERGING TECHNOLOGIES FOR NATIVE WILDLIFE POPULATION ASSESSMENT AND MANAGEMENT
Prof Don Driscoll, Prof Euan Ritchie, A/Prof Desley Whisson, A/Prof Mike Weston, A/Prof Daniel Ierodiaconou, Dr Blake Allan, Dr Shuddha Rafiq, Dr Duc Thanh Nguyen, A/Prof Tim Wilkin, Prof Robin Ram Mohan Doss, Prof Seng Loke
Department of Environment Land Water and Planning
- 2022: $327,000
Industry and Other Funding
Intelligent Power Management for eShepherd Collar
A/Prof Tim Wilkin, A/Prof Chandan Karmakar, Prof Seng Loke
Agersens Pty Ltd
- 2018: $38,959
Supervisions
Sachin Clement
Thesis entitled: Sub-graph ensembles for efficient causal discovery in high-dimensional datasets
Master of Science (Information Technology), School of Information Technology
Aaron Michael Spence
Thesis entitled: Side-Channel Sensing: Systematic Discovery of Side-Channels
Doctor of Philosophy (Information Technology), School of Information Technology
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
Owen Makin
Thesis entitled: Balancing Adversarial Combat Games using Measures of Options and Outcomes
Doctor of Philosophy (Information Technology), School of Information Technology