Dr. Jianlong Zhou is an Associate Professor in the School of Computer Science, Faculty of Engineering and IT, University of Technology Sydney, leading the UTS [Human Centred AI](http://www.hcai-lab.org) research lab. His current work focuses on AI for social good, AI fairness, AI explainability, smart agriculture, visual analytics, behaviour analytics, human-computer interaction, and related applications.

Before joining UTS, Dr. Zhou was a senior research scientist in Data61, CSIRO and NICTA, Australia. He has extensive research experiences on various fields ranging from AI, visual analytics, VR/AR, to human-computer interaction in different universities and research institutes in USA, Germany and Australia. Dr. Zhou is a leading researcher in trustworthy and transparent machine learning, and has done pioneering research in the area of linking human and machine learning. He also works with industries in advanced data analytics for transforming data into actionable operations particularly by incorporating human user aspects into machine learning and translate machine learning into impacts in real world applications.

AWARDS

• Young Scientist Award from International Engineering and Technology Institute (IETI) in 2026 International Conference on Intelligent Optimisation and Big Data Management, 7-10 August 2026, South Korea. 
• Sugi Lee, Jianlong Zhou, and Jing Sun, "PromptSense: Sentiment-Aware Mental Health Chatbot with Dynamic Prompting", in International Conference on Intelligent Optimization and Big Data Management, August 7-10, 2026, Seoul, South Korean. (Best Presentation Award)
• E-LENS: AI Ethics Audit Platform, Finalist of iAwards 2026 in Artificial Intelligence Technology, 2026. (The iAwards are Australia's longest-running and most prestigious technology innovation awards hosted by the Australian Information Industry Association (AIIA)).
• Jichao Kan, Zhidong Li, Jianlong Zhou and Fang Chen. "Robust Weed Detection with Evidential Neural Network-based Uncertainty Quantification", In Australasian Conference on Data Science and Machine Learning. Springer Nature Singapore, 2024. (Best Paper Award)
• Yadav, Jitendra, Avikshit Yadav, Madhvendra Misra, Nripendra P. Rana, and Jianlong Zhou. "Role of social media in technology adoption for sustainable agriculture practices: Evidence from Twitter analytics." Communications of the Association for Information Systems 52, no. 1 (2023): 833-851. (2023 Paul Gray Award for Most Thought Provoking Paper)
• Islam, Md Rafiqul, Md Kowsar Hossain Sakib, Anwaar Ulhaq, Shanjita Akter, Jianlong Zhou, and David Asirvathamt. "Sidvis: Designing visual interactive system for analyzing suicide ideation detection." In 2023 27th International Conference Information Visualisation (IV), pp. 384-389. IEEE, 2023. (Best Paper Award in IV2023)
• Angerschmid, Alessa, Jianlong Zhou, Kevin Theuermann, Fang Chen, and Andreas Holzinger. "Fairness and explanation in AI-informed decision making." Machine Learning and Knowledge Extraction 4, no. 2 (2022): 556-579. (Machine Learning and Knowledge Extraction Top 1 Highly Cited Paper in 2022)
• Zhou, Jianlong, Amir H. Gandomi, Fang Chen, and Andreas Holzinger. "Evaluating the quality of machine learning explanations: A survey on methods and metrics." Electronics 10, no. 5 (2021): 593. (Electronics 2023 Best Paper Award)
• Zhou, Jianlong, Syed Z. Arshad, Simon Luo, and Fang Chen. "Effects of uncertainty and cognitive load on user trust in predictive decision making." In Human-Computer Interaction–INTERACT 2017: 16th IFIP TC 13 International Conference, Mumbai, India, September 25-29, 2017, Proceedings, Part IV 16, pp. 23-39. Springer International Publishing, 2017. (Reviewer’s Choice Award, The Brian Shackel Award in recognition of the most outstanding contribution with international impact in the field of human interaction with, and human use of, computers and information technology)