Jason Williams
Jason Williams publishes mostly in Artificial Intelligence, Computer Networks and Communications and Aerospace Engineering, on topics such as Target Tracking and Data Fusion in Sensor Networks, Gaussian Processes and Bayesian Inference and Distributed Sensor Networks and Detection Algorithms.
- World rank
- #83,638 of 1,633,909 ranked researchers
- Rank in Australia
- #2,258 of 35,497
- Works
- 36
- Citations
- 235
- Citations per work
- 6.5
What does Jason Williams research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence35% of their works
- 2Computer Networks and Communications11% of their works
- 3Aerospace Engineering8% of their works
- 4Control and Systems Engineering5% of their works
- 5Hardware and Architecture5% of their works
- 6Astronomy and Astrophysics5% of their works
Research topics
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
- Distributed Sensor Networks and Detection Algorithms
- Fault Detection and Control Systems
- Reinforcement Learning in Robotics
- Bayesian Methods and Mixture Models
- Bayesian Modeling and Causal Inference
- Machine Learning and Algorithms
Which keywords describe Jason Williams's research?
The keywords of their largest research topics: Bayesian Inference, Nonlinear Estimation, Particle Filters, Machine Learning, Deep Learning, Gaussian Processes, Variational Inference and Distributed Detection.
- Reinforcement Learning
- Mixture Models
- Causal Inference
- Active Learning
- Sparse Regression
- Probabilistic Models
- Distributed Detection
- Gaussian Processes
- Machine Learning
- Nonlinear Estimation
- Bayesian Inference
- Particle Filters
- Deep Learning
- Variational Inference
- Fault Detection
- Process Monitoring
- Wireless Sensor Networks
- Bayesian Networks
- Clustering
- Neural Networks
- Semi-Supervised Learning
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 21 words, with their numbers
- Bayesian Inference103 topics
- Nonlinear Estimation71 topic
- Particle Filters71 topic
- Machine Learning53 topics
- Deep Learning43 topics
- Gaussian Processes32 topics
- Variational Inference32 topics
- Distributed Detection21 topic
- Fault Detection21 topic
- Probabilistic Models21 topic
- Process Monitoring21 topic
- Sparse Regression21 topic
- Wireless Sensor Networks21 topic
- Active Learning11 topic
- Bayesian Networks11 topic
- Causal Inference11 topic
- Clustering11 topic
- Mixture Models11 topic
- Neural Networks11 topic
- Reinforcement Learning11 topic
- Semi-Supervised Learning11 topic
Where does Jason Williams work?
Jason Williams's main affiliation in the publication record is Defence Science and Technology Group, Australia.
How many publications and citations does Jason Williams have?
Science Explorer counts 36 works and 235 citations for Jason Williams, ranking #83,638 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Other researchers named Jason Williams
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