About Me

I am a lecturer in IT at the School of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University Australia. Prior to joining Deakin University in 2019, I worked as a lecturer at Federation University Australia and sessional teaching staff at various institutions. Before moving to academia, I worked in industry as a data engineer and software developer for several years. I received my PhD from Monash University, Australia. My research is in the areas of Data Mining (DM), Machine Learning (ML) and Artificial Intelligence (AI). I am interested in applying ML/AI concepts to solve real-world problems in different domains, particularly in defence, healthcare, cyber security, advanced manufacturing, engineering and IoT. I work in a wide range of areas in ML/AI from similarity measures, anomaly detection, classification, clustering, text/image analysis, ensemble learning, learning from small subsamples of data, and robust/explainable machine learning to autonomous systems. I have published more than 35 scientific papers in top tier conferences and journals in the field of DM/ML and have been a named investigator on research grants and contracts of over AUD 1.9 million. My research is supported by US Defence (AFOSR and ONR Global), Defence Science and Technology (DST) Group Australia, and Office of National Intelligence (ONI) Australia.

PhD Scholarships are available to strong domestic and onshore international (already in Australia) candidates at the School of IT, Deakin University. If you are interested in doing a PhD in artificial intelligence, machine learning or data mining, please contact me as soon as possible with your resume, a copy of the academic transcript of your highest qualification, list of publications (if no publications please include title and abstract of your honours /master’s thesis). Applications are closing soon.

Recent updates

  • Sep 2021: A paper accepted for publication by the Knowledge Based Systems journal (Elsevier). Congratulaions and thanks to Dr. Chiranjibi Sitaula for leading the work.
  • Aug 2021: A paper accepted for publication by the IEEE Transactions on Geoscience and Remote Sensing journal. The paper is led by our collaborator Dr Song Xiangyu at the Chinese Academy of Sciences.
  • Jul 2020: Invited to give a guest speach in the 4th National Workshop on Machine Learning & Data Science Nepal.
  • July 2021: Aug 2020: Our research proposal led by Dr Imran Razzak has been selected for funding by the Office of National Intelligence (ONI) under the AI for Decision Making Initiative Round 2 Phase 1 though Defence Science Institute (DSI) [AUD 20,000].
  • Jun 2021: A paper accepted at the European Conference on Machine Learning (ECML) and Principles and Practice of Knowledge Discovery in Databases (PKDD) 2021.
  • May 2021: A paper accepted for publication by the Expert Systems with Applicaions journal (Elsevier). Congratulaions and thanks to Dr. Chiranjibi Sitaula for leading the work.
  • May 2021: Received an approximately $10,000 research grant from the Deakin University School of IT under the ECR Small Grant Scheme 2021.
  • May 2021: I am happy to be a Fellow of the UK Higher Education Academy (HEA).
  • May 2021: I am serving as a workshop co-chair for the International Conference on Advanced Data Mining and Applications (ADMA) 2021.
  • May 2021: Mr Zafaryab Rasool joins our team as an associate research fellow. Welcome to Zafar.
  • May 2021: A paper accepted for publucation by the Artificial Intelligence journal (Elsevier). Congratulations and thanks to Assoc Prof Richard Dazeley for leading the work.
  • Apr 2021: A paper accepted for publication by the Health Information Science and Systems journal (Springer). Congratulaions and thanks to Dr. Chiranjibi Sitaula for leading the work.
  • Apr 2021: A paper accepted at the 2021 International Joint Conference on Neural Networks (IJCNN 2021).
  • Feb 2021: A paper accepted for publication in the PeerJ Computer Scinence Journal. Congratulaions and thanks to Dr. Chiranjibi Sitaula for leading the work.
  • Jan 2021: Received an approximately $5000 research grant from the Deakin University SEBE Faculty under the Peer-Reviewed ECR Support Scheme 2021 (PRESS2021).
  • Jan 2021: Invited to serve as a topic editor for the MDPI journal of Applied System Innovation (ASI).
  • Jan 2021: My first PhD student graduated, congratulations to Dr Chiranjibi Sitaula.
  • Dec 2020: Invited to serve as a reviewer for the journal of ACM TKDE.
  • Nov 2020: Invited to serve as a PC Member at PAKDD 2021 and IJCAI 2021.
  • Oct 2020: A paper accepted for publication in the Health Information Science and Systems journal (Springer).
  • Oct 2020: A paper accepted for publication in the Journal of Machine Learning and Cybernetics (Springer).
  • Sep 2020: Invited to join Critical Mineral Consortium as a machine learning and data mining expert.
  • Sep 2020: Our research proposal led by Assoc Prof Richard Dazeley (Deakin University) and Prof Cindy Bethel (Mississippi State University) has been selected for funding by Defence Science and Technology (DST) Group Australia and US Air Force Office of Scientific Research (AFOSR) under the AFOSR - DST Australia Autonomy Initiative [AUD 208,463 (Australia) and USD 120,002 (USA)].
  • Sep 2020: Our research proposal led by Assoc Profs Peter Vamplew (Federation University) and Richard Dazeley (Deakin University) has been selected for funding by Defence Science and Technology (DST) Group Australia [AUD 44,000 (FedUni) and AUD 53,000 (Deakin)].
  • Aug 2020: Mr. Chiranjibi Situala, a PhD student that I co-supervised, has submitted his PhD thesis for examination. Hope everything will go well for him. He will be my first PhD student to gaduate, all the best to him!
  • Aug 2020: Our research proposal that I led (with Assoc Prof Santosh KC at the University of South Dakota) has been selected for funding by US Air Force Office of Scientific Research (AFOSR), Asian Office of Aerospace Research and Development (AOARD) and Office of Naval Research Global (ONRG) [USD 100,000, USD 50,000/year for two years]
  • Aug 2020: Our research proposal that I led has been selected for funding by the Office of National Intelligence (ONI) under the AI for Decision Making Initiative though Defence Science Institute (DSI) [AUD 20,000].
  • Aug 2020: Delivered a keynote speach in the 3rd National Workshop on Machine Learning & Data Science Nepal.
  • Jul 2020: A paper accepted at the 21st International Conference on Web Information Systems Engineering 2020 (WISE 2020), Congratualtions to PhD student Durgesh Samariya.
  • Jul 2020: Completed Graduate Certificate in Higher Education Learning and Teaching (GCHELT) from Deakin University.
  • Jul 2020: Invited to deliver a keynote speach in the 3rd National Workshop on Machine Learning & Data Science Nepal.
  • Apr 2020: A paper accepted at the 2020 International Joint Conference on Neural Networks (IJCNN 2020), IEEE World Congress on Computational Intelligence (IEEE WCCI) 2020. Congratualtions to PhD student Chiranjibi Sitaula.
  • Mar 2020: Received a $5000 research grant from the Deakin University SEBE Faculty under the Peer-Reviewed ECR Support Scheme 2020 (PRESS2020).
  • Jan 2020: A paper accepted for publication in the Knowledge and Information Systems journal
  • Dec 2019: Attended Modelling Complex Warfare Symposium organised by DST in Canberra
  • Oct 2019: A paper accepted for publication in the Data Mining and Knowledge Discovery journal
  • Sept 2019: Selected to pitch my research in the PACIFIC 2019 Pitchfest, Sydney, Australia
  • Sept 2019: Two papers accepted at the 26th International Conference on Neural Information Processing (ICONIP 2019), Congratulations to PhD student Chiranjibi Sitaula and Master student Arbind Agrahari Baniya
  • Sept 2019: A paper accepted to the 9th Pacific-Rim Symposium on Image and Video Technology (PSIVT 2019), Congratulations to PhD student Chiranjibi Sitaula
  • Jun 2019: A paper accepted for publication in IEEE Access, Congratulations to PhD Student Chiranjibi Sitaula
  • Apr 2019: Our $1.28 million grant proposal led by Mental health organisation Prevention United, Federation University Australia and Ballarat Health Services is approved for funding by WorkSafe, Work Well Improvement Fund (Round 2)
  • Jan 2019: Started at Deakin University as a lecturer in IT