
Members

Joerg Simon Wicker
Group Leader - Senior Lecturer

Yun Sing Koh
Senior Lecturer
Dr Yun Sing Koh is a Senior Lecturer at the School of Computer Science, The University of Auckland, New Zealand. Her research is in the area of machine learning. Within the broad research realm, she is currently focusing on three strands of research: data stream mining, lifelong and transfer learning, and pattern mining

Michael Witbrock
Professor
Michael is building a research group, the Broad AI Lab, at the intersection of machine learning, reasoning and natural language understanding, with an additional focus on achieving the best social and civilizational impacts of increasingly powerful AI.

Jiamou Liu
Senior Lecturer
Jiamou Liu is a Senior Lecturer at the School of Computer Science, The University of Auckland. Before joining the UoA, he was a Senior Lecturer at Auckland University of Technology between 2011 and 2015. Jiamou obtained a PhD in Computer Science from the University of Auckland, and worked as a research associate in University of Leipzig between 2009 and 2010 and Paris Diderot University (Paris 7) in 2013. He was a research intern at Microsoft Research Asia in 2008. During his PhD, he was a visiting student at Cornell University and National University of Singapore. Originally trained as a theoretical computer scientist, Jiamou’s current research is in Artificial Intelligence. In particular, his work revolves around the structural analysis of social networks, multiagent systems, as well as natural language processing. His recent research also connects to health-care, data privacy, computational social science, and spatial-temporal data analysis with application in traffic flow prediction.

Thomas Lacombe
Honorary Academic
My research interests are wide and various, centring on the application of machine learning and data mining to a wide range of fields such as data streams, image processing and computer vision. I have previously worked in industrial computer vision and machine learning applied to develop visual quality control for plastic injection production lines. More recently, I focused on automated hyper-parameter setting in a data stream environment.
I like to stay adaptable to broaden my expertise and I am especially motivated to work on interdisciplinary and applied projects.

Kaiqi Zhao
Lecturer
I have broad research interests in general topics of big data analytics, data mining and machine learning. Particularly, I am specialized in spatio-temporal data mining, text mining and recommender systems. In my recent research, I have worked on probabilistic generative models and deep generative models for mobility modeling and recommendations on spatio-temporal data such as GPS trajectories, location-based check-ins and geo-tagged tweets. I have also worked on efficient and effective topic mining algorithms for big spatio-temporal data.

Daniel Wilson
Professional Teaching Fellow
My academic training is in both philosophy and data science and I have research interests at the intersection of these domains, particularly with respect to professional ethics and socially responsible use of AI and ML. I also investigate privacy techniques employed in the public release of personal information, specifically with respect to confidentiality and usability. I am a member of Te Pokapū, the steering committee of Te Mana Raraunga – the Māori data sovereignty network

Katerina Taskova
Lecturer
My main research lies in the intersection of machine learning, meta-heuristic optimization, mathematical modeling, and data science with major applications in the filed of biology, ecology, engineering and social sciences. My work is strongly motivated by real-life problems that can benefit from data-driven modeling and automated modeling approaches exploiting both domain-specific knowledge and different types of measured data as relevant for systems sciences.

Jason Tam
Honorary Academic
Having started my academic training in Physics that eventually led to handling and analysing huge datasets, my main research interests naturally fall into how applications of advanced data science techniques, including ML and AI, can help transform workflows in scientific and technical disciplines for the future. Having previously applied modern data science tools and techniques in various aspects, from IoT and cloud technologies to custom analytics and visualizations, in disciplines such as Civil Engineering, Seismology and Environmental Science, currently I am mainly focused on improving predictions of chemical reactions in Environmental Chemistry.
I like to stay adaptable to broaden my expertise and I am especially motivated to work on interdisciplinary and applied projects.
Gill Dobbie
Professor
Gill has a wide range of research interests, including databases, the web, and software engineering. She is interested both in structured and semistructured data. More specifically, she is interested in how data can best be organized and managed, how the semantics of the data can be retained and expressed, and how querying can be carried out efficiently. Her main areas of interest pertain to databases and the web. She has worked in the foundations of database systems, defining logical models for various kinds of database systems, and reasoning about the correctness of algorithms in that setting. With colleagues at the National University of Singapore, she has defined a data model for semistructured data (called ORA-SS), providing a language independent description of the data. The group she was working with has used the ORA-SS data model to define a normal form for ORA-SS schema, defined valid views for semistructured databases, and described a storage structure for semistructured databases using object relational databases.
Pat Riddle
Senior Lecturer
My main research interests are in the AI areas of machine learning and datamining. In particular, I am interested in various techniques for machine learning (such as ensemble approaches, techniques which overcome overfitting problems, and data-engineering as incorporating background knowledge) and their applications to real world problems. In addition I have been working in the area of search, planning, and representation increasingly in the last few years.

David Tse Jung Huang
Honorary Academic

Joshua Bensemann
Research Fellow
I am currently working in the field of artificial intelligence after completing a PhD in psychology. My research interests include incorporating concepts from psychology into deep learning as well as applying machine learning techniques to psychological data.

Song Yang
PhD Student
Song Yang, a researcher and practitioner, is keen to turn machine learning technologies into real-world value. His research interests lie in Deep Learning, Graph Neural Networks, Spatio-temporal Data Mining, Computer Vision, and AI in Healthcare. Song Yang started his PhD in December 2019. Before that, he worked as a full-time machine learning engineer with several years of actual work experience. The computer vision/deep learning models he used to work on have been installed in several hospitals and clinics in New Zealand to detect lesions/diseases from medical images automatically. Recently, he is interested in the emerging field of Graph Neural Networks and applying GNNs on graph structure data.
Supervisor: Jiamou Liu and Kaiqi Zhao

Xinglong (Luke) Chang
PhD Student
Xinglong (Luke) Chang is a PhD student at the School of Computer Science, the University of Auckland, New Zealand. His supervisors are Dr Joerg Simon Wicker and Professor Gillian Dobbie. His research interests are adversarial learning and security issues related to machine learning.
Supervisors: Gill Dobbie and Joerg Wicker

Qiming (Bill) Bao
PhD Student
Qiming (Bill) Bao is a PhD student at the School of Computer Science, the University of Auckland, New Zealand. His supervisors are Professor Michael Witbrock and Dr Jiamou Liu. His research interests include soft reasoning related to deep learning.
Supervisors: Michael Witbrock and Jiamou Liu

Qianqian Qi
PhD Student
I received my M.Sc. degree specialised in Communications and Signal Processing from Imperial College London in 2014, and my B.Eng. degree majoring in Electronic and Information Engineering from Dalian University of Technology in 2013. After that, I worked as a software engineer in Singapore for more than four years. I am now researching the field of Natural Language Processing, mainly on natural language understanding and generation.
Supervisors: Michael Witbrock

Duer Wang
PhD Student
My current research centers on developing knowledge-aware machine learning agents that can answer questions and reason over natural languages. Before the doctoral study at the University of Auckland, I completed my bachelor and master at the University of Melbourne, majoring in computer science.
Supervisors: Kaiqi Zhao, Gill Dobbie, and Michael Witbrock

Nooriyan Poonawala-Lohani
PhD Student
Supervisors: Mehnaz Adnan, Pat Riddle, and Joerg Wicker

Jonathan Kim
PhD Student
I am currently pursuing a PhD from the Department of Computer Science, while working as a Senior Research Engineer at Callaghan Innovation. I have a Master of Engineering Management(Hons) and Bachelor of Computer Systems Engineering, both from University of Auckland. My research involves achieving robust semantic scene understanding through joint optimisation of SLAM and DCNNs.
Supervisors: Pat Riddle and Joerg Wicker

Annie Lu
PhD Student
I’m a machine learning PhD student from the department of computer science, the University of Auckland after I completed my Master of professional studies in Data Science. My research is regard with applying machine learning techniques for Growing Up in New Zealand to help obtain insights from longitudinal data.
Supervisors: Yun Sing Koh, Susan Morton, and Joerg Wicker

Ming-Bin (Bryan) Chen
MSc Student
Coming from the multi-disciplines background of science and art, Ming-Bin’s primary research interests are in the intersection of computer science and linguistics, particularly AI in journalism. He is currently a research master student at the School of Computer Science of the University of Auckland, supervised by Professor Michael Witbrock. His current research project is developing an open domain interviewing agent, a dialogue bot capable of asking interviewing questions given a topic.
Supervisors: Michael Witbrock

Katharina Dost
PhD Student
Since July 2019 I am a PhD student in the School of Computer Science. Before, I was employed as a Data Scientist in marketing where my work centered around predictive models and clustering techniques. I did my undergraduate studies in Mathematics and my Master’s degree in Scientific Computer Science at the University of Mainz, Germany. My main research interests are Selection Bias identification and mitigation especially as a pre-processing step for a broad range of supervised or unsupervised models.
Supervisors: Pat Riddle and Joerg Wicker

Olivier Graffeuille
PhD Student
I am working towards a PhD in Computer Science, after graduating from Engineering Science here at the University of Auckland. My current research is on using Machine Learning techniques to detect extreme climate events, namely using satellite data to detect cyanobacterial blooms in New Zealand lakes.
Supervisors: Moritz Lehmann, Yun Sing Koh, and Joerg Wicker

Zhenyun Deng
PhD Student
I am pursuing a PhD from the School of Computer Science at the University of Auckland. My research interests include Machine Learning and Natural Language Processing. My current research focuses on multi-step reasoning for complex question answering.
Supervisors: Michael Witbrock and Pat Riddle

Qiqi Wang
PhD Student
I’m a PhD student from the School of Computer Science at the University of Auckland. I have an M.E from the University of Western Australia and received both B.E and LL.B. from Southwest University, China. My current research focuses on applying Artificial Intelligence in Law.
Supervisors: Kaiqi Zhao and Robert Amor