Core Members

Dr Rohitash Chandra

Director and Senior Lecturer in Data Science, University of New South Wales. Google Scholar Web

Dr Ehsan Farahbakhsh

Deputy Director, Postdoc Research Associate, University of Sydney. Google Scholar Web

Dr Ratneel Deo

Deputy Director, Postdoc Research Associate, University of Sydney. Google Scholar

Dr Rodney Beard

Centre for Artificial Intelligence and Innovation, Pingla Institute. Google Scholar

Dr John Hawkins

Centre for Artificial Intelligence and Innovation, Pingla Institute. Google Scholar Research Profile

Dr Pavel Krivitsky

Senior Lecturer in Data Science, University of New South Wales. Google Scholar Web

Dr Saman Forouzandeh

Postdoc at RMIT Melbourne Google Scholar

Dr Eka Shinjikashvili

Lecturer in Data Science, University of New South Wales Google Scholar Web

Dr Shuang Liu

Postdoc at UNSW Sydney. Google Scholar

Dr. Pierre Lafaye de Micheaux

Associate Professor in Data Science and Statistics, University of New South Wales Google Scholar Web

Ph.D Students

Arpit Kapoor

PhD student, School of Mathematics and Statistics, UNSW Sydney

Amuche Ibenegbu

PhD student, School of Mathematics and Statistics, UNSW Sydney

Guoxiang Ren

PhD student, School of Mathematics and Statistics, UNSW Sydney

Mahsa Tavakoli

PhD student, University of Western Ontario, Canada

Masters and Honours Research Students

  • Jack Choi, “Transformation of abusive comments using LLMs”, Honours in Quantitative Data science, Since February 2025 (Principal Supervisor)
  • Yathin Suresh, “Ananysis of songs on Billboard charts using NLP”, Honours in Computational Data Science, Since February 2025 (Principal Supervisor)
  • Thoma Duffy, “Analysis of antisemitic trends in media using LLMs”, Masters in Statistics, Since February 2025 (Principal Supervisor)
  • Yue Zhang, “Evaluation of LLM-based language translation for Mandarin to English, Masters in Data Science and Decisions, Since May 2025 (Principal Supervisor)

Research Interns

  • Vamshika Sutar, Indian Institute of Technology Bombay, India (January 2024 - July 2024)
  • Samiz M. Haghighi, UNSW Sydney, Australia (January 2024 - July 2024)
  • Siddharth Khedkar, Indian Institute of Technology Guwahati, India (January 2024 - May 2024)

Research Student Alumni

Ph.D

  • Dr Saman Forouzandeh, “Recommender systems using graph-based deep learning’’, School of Mathematics and Statistics, UNSW Sydney, April 2025 (Joint Principal Supervisor with Dr Pavel Krivitsky)
  • Dr Ratneel Deo, ‘‘Deep learning for understanding geo-coastal and reef development``, University of Sydney, April 2025 (External Supervisor with Prof. Jody Webster and Dr Tristan Salles)
  • Dr Nhat Minh Megan Nguyen, “Bayesian Inference for Complex Models”, University of Sydney, September 2024 (External Supervisor with A/Prof. Minh-Ngoc Tran and Dr Tongliang Liu)
  • Dr Amit Kumar, “Multimodal approach for clustering risk level in pulmonary fibrosis patients using respiratory and EMG data”, Beijing Institute of Technology, April 2023 (External Supervisor)
  • Dr Ehsan Farahbakhsh, “Developing a novel method for three-dimensional modelling of ore deposits by integrating data layers”, Amirkabir University of Technology, Tehran, December 2020 (External Supervisor)

Honours

  • Raine Bianchini, “Language models for audio transcription analysis in movies”, Honours in Quantitative Data Science, August 2025 (Principal Supervisor)
  • Omkar Chaudhary, “Financial fraud detection in cryptocurrency using graph-based deep learning”, Honours thesis in Economics, BITS Pilani -Goa, India, July 2025 (Principal Supervisor)
  • Xuechun Wang, “Evaluation of Google Translate for selected Chinese texts: sentiment and semantic analysis”, Honours in Quantitative Data Science, August 2024 (Principal Supervisor with Dr Rodney Beard)
  • Shuhao Huang, “Explainable artificial intelligence for drought prediction in Australia”, Honours in Computer Engineering, May 2024
  • Albert Demskoy, “Bayesian model for high category cyclone forecasting using sea-surface temperature: four decades ahead”, Honours in Data Science, December 2023
  • Rahul Ahluwalia, “Data augmentation for extreme value forecasting using deep learning”, Honours in Data Science, December 2023
  • Sean Luo, “Evaluation of GANs with dimensional reduction approach”, Honours in Data Science, May 2022 (Joint supervision with Dr Sahani Pathiraja)
  • George Maksour, “Evaluation of deep reinforcement learning models for horse-race betting”, Honours in Data Science, May 2022 (Joint supervision with Dr Sahani Pathiraja)
  • Jim Ng, “ Conditional ensemble deep learning for modelling Australian climate extremes: streamflow and floods“, Honours thesis, UNSW Sydney, December 2022 (Primary Supervisor with A/Prof Willem Vervoot)
  • Eric Chen, “Deep learning for modelling historic ground-water levels via stream-flow and precipitation data”, Honours thesis, UNSW Sydney, December 2022 (Primary Supervisor with A/Prof Martin Anderson)
  • Royce Chen, “Pruning Bayesian neural networks with MCMC”, Honours thesis, UNSW Sydney, December 2022 (Joint supervision with Dr Sahani Pathiraja)
  • George Bai, “Bayesian neural ensemble learning with parallelised and tempered Langevin MCMC”, Honours thesis, UNSW Sydney, December 2021 (Principal Supervisor)

Masters (coursework - minor thesis)

  • Zhenyu Zhu, “Sanskrit optical character recognition using advanced deep learning models”, Master’s in Data Science and Decisions, August 2025 (Principal Supervisor)
  • Ziyu Lei, “Political leaning analysis by large language models”, Master’s in Statistics, May 2025 (Principal Supervisor)
  • Yizhen Fan, “Electric load forecasting using deep learning models”, Master’s in Financial Mathematics, August 2025 (Principal Supervisor)
  • Junru Hua, “Extreme value forecasting with data augmentation and deep learning “, Master’s in Data Science and Decisions, August 2025 (Principal Supervisor)
  • Chen Wang, “Sinophobia during COVID-19: Twitter “, Master’s in Data Science, August 2024 (Principal Supervisor)
  • Tanay Panat, “ Global ease of living index with data imputation and dimentionality reduction”, Master’s in Data Science, December 2024 (Principal Supervisor)
  • Yeshwanth Rayavarapu, “Comparison of GPT and Google Translate for translation of selected Indian languages”, Master’s in Data Science, May 2024, (Principal Supervisor)
  • Ruoni Wen, “Remote sensing and deep learning for landcover classification in Fiji”, Master’s in Statistics, August 2023, (Principal Supervisor), Co-supervisor Dr Ehsan Farahbakhsh)
  • Alex Bradford, “Variational deep learning for stock price prediction”, Master’s in Statistics, August 2023, (Principal Supervisor)
  • Mukuan Hsu, “Topic modelling for COVID-19 vaccine-related tweets”, Master’s in Computing Science, August 2023, (Principal Supervisor)
  • Hamish Haggerty, “Self-supervised deep learning”, Master’s in Statistics, May 2023, (Principal Supervisor)
  • Tianyi Wang, Revisiting world economic outlook post-COVID-19 with deep learning”, Master of Statistics, UNSW Sydney, December 2022, (Primary Supervisor)
  • Yuhao Ke, “Machine learning for NBA”, Master of Statistics, School of Mathematics and Statistics, UNSW Sydney, December 2022 (Primary Supervisor)
  • Mingyue Kang, “COVID-19 mutation over time”, Master of Statistics, UNSW Sydney, May 2022 (Principal Supervisor in collaboration with Prof. Seshadri Vasan (CSIRO)
  • Jiaxin Cathy Yu, “COVID-19 diagnosis study with big data”, Master of Statistics, UNSW Sydney, May 2022 (Principal Supervisor in collaboration with Prof. Seshadri Vasan (CSIRO)
  • Kelin Liu, “Clustering methods for vessel tracking with satellite data”, Master of Statistics, UNSW Sydney, May 2022 (Principal Supervisor in collaboration with Dr Rodney Beard (FFA)
  • Zhilin Wei, “Computer vision for aerial tracking of coastal plastic waste”, Master of Statistics, UNSW Sydney, December 2021 (Principal Supervisor)
  • Dizhou Feng, “Graph neural networks for spatiotemporal forecasting”, Master of Statistics, UNSW Sydney, December 2021 (Principal Supervisor)
  • Yueyang Zhang, “Gradient Boosting LSTM for reducing model uncertainty”, Master of Statistics, School of Mathematics and Statistics, December 2021 (Principal Supervisor)
  • Shaodong Lin, “World economic outlook post-COVID-19 with deep learning”, Master of Statistics, School of Mathematics and Statistics, December 2021 (Principal Supervisor)
  • Yixuan He, “Bayesian neural learning for financial prediction”, Master of Financial Mathematics, UNSW Sydney, August 2020 (Principal Supervisor)

Masters by Research (major thesis)

  • Honghui Wang, “Deep learning for instant pedestrian path prediction”, Master’s by Research, 2024(Principal Supervisor with A/Prof Gustavo Batista and Dr William Zhi)
  • Chaarvi Bansal, “Machine learning Framework for COVID-19 Drug Repurposing”, M.Sc. Biological Sciences, Birla Institute of Technology and Science Pilani and UNSW Sydney, 2022 (Principal Supervisor with Prof. P. R. Deepa )
  • Julian Rodriguez, “Machine learning for spatial-temporal mineral prospecting using plate tectonic models, M.Phil, University of Sydney (External Supervisor with Prof. Dietmar Muller, 2019-2020)
  • Ratneel Deo, “Neural network methodologies for cyclone wind intensity and path prediction”, Master of Science in Computing Science, University of the South Pacific, Suva, Fiji, December 2017 (Primary Supervisor - External Supervisor) (Nominated for Best Thesis - Gold Medal)

Research Intern Alumni

2025

  • Divisha Naharas, University of Nevada - Reno, USA (January -June 2025)
  • Fangli Cheng, UNSW (January -June 2025)
  • Aditya Pramar, Pingla Institute (January - June 2025)
  • Jiaming Yang, UNSW (January - June 2025)
  • Liang Long, UNSW (January - June 2025)
  • Sungkyun Yoo, Pingla Institute (January - June 2025)
  • Viswas Dubey, Vellore Institute of Technology (January - June 2025)
  • Sai Rugved, Indian Institute of Technology Guwahati, India (April - September 2025)

2024

  • Aryan Chaudhary, National Institute of Technology Rourkela, India (September 2024- March 2025)
  • Vamshika Sutar, Indian Institute of Technology Bombay, India (July 2024 - March 2025)
  • Tanuj Chaudrary, Indian Institute of Technology Guwahati, India (July 2024 - November 2024)
  • Kartik Disawal, Indian Institute of Technology Goa, India (January - June 2024)
  • Omkar Chaudhary, BITS Pilani -Goa, India, (June-December 2024)

2023

  • Mahek Vora, Indian Institute of Technology Guwahati, India (January - May 2023)
  • Naman Jain, Indian Institute of Technology Delhi, India (May - July 2023)
  • Akshat Shukla, Indian Institute of Technology Guwahati, India (January - April 2023)
  • Azal Khan, Indian Institute of Technology Guwahati, India (June 2023 - December 2023)
  • Omkar Chaudhari, Indian Institute of Technology Guwahati, India (June 2023 - December 2023)
  • Siddharth Khedkar, BITS Pilani, Rajasthan, India (September 2023 - December 2023)
  • Tvisha Malik, Indian Institute of Technology Delhi, India (March 2023 - August 2023)

2022

  • Azal Khan, Indian Institute of Technology, Guwahati, India (January - August 2022)
  • Saharsh Bharve, Manipal Institute of Technology, India (January - May 2022)
  • Shirin Jain, Indian Institute of Technology, Guwahati, India (May-August 2022)
  • Snigdha Jain, Indian Institute of Technology, Guwahati, India (May-August 2022)
  • Janhavi Lande, Indian Institute of Technology, Guwahati, India (January - March 2022)
  • Chaarvi Bansal, Birla Institute of Technology and Science, Pilani, Rajasthan, India (January - May 2022)
  • Pranjal Singh, Indian Institute of Technology, Guwahati, India (January - April 2022)
  • Gunjan Dhanuka, Indian Institute of Technology, Guwahati, India (January - April 2022)
  • Suryansh Shrivastava, Indian Institute of Technology, Guwahati, India (January - April 2022)
  • Pranshu Kandoi, Indian Institute of Technology, Guwahati, India (January - April 2022)
  • Pandaya Pranshu, Indian Institute of Technology, Guwahati, India (January - April 2022)
  • Dhiraj Pimparkar, Indian Institute of Technology Jammu, India ( May 2022 - September 2022)
  • Dakshi Goel, Indian Institute of Technology Jammu, India ( May 2022 - September 2022)

2021

  • Sweta Rathi, Indian Institute of Technology Guwahati, India (June - August 2021)
  • Mukul Ranjan, Indian Institute of Technology Guwahati, India (June - August 2021)
  • Amandeep Singh, Indian Institute of Technology Bombay, India (June - August 2021)
  • Ritam Manabendra, Indian Institute of Technology Guwahati, India (June - August 2021)
  • Anshul Negi, Indian Institute of Technology Roorkee, India (June - August 2021)
  • Rishabh Sharma, Indian Institute of Technology Guwahati, India (June - August 2021)
  • Sahil Bohra, Indian Institute of Technology Delhi, India (June - August 2021)
  • Ayush Bhagat, Manipal Institute of Technology, India (April 2021 - June 2021)
  • Venkatesh Kulkarni, Indian Institute of Technology Guwahati, India (November 2021 - February 2022)
  • Sandeep Nagar, International Institute of Information Technology, Hyderabad, India (November 2021 - February 2022)

2020

  • Ritij Saini, Indian Institute of Technology Bombay, India (December 2020 - February 2021)
  • Aswin Krishna, Indian Institute of Technology Guwahati, India (December 2020 - February 2021)
  • Prabhat Singh, Indian Institute of Technology Guwahati, India (December 2020 - February 2021)
  • Jiaxin Yu, School of Mathematics and Statistics, UNSW Sydney, (December 2020 - February 2021)
  • Jiaxi Zhao, School of Mathematics and Statistics, UNSW Sydney, (December 2020 - February 2021)
  • Animesh Renanse, Indian Institute of Technology Guwahati, India (May 2020 - August 2020)
  • Shaurya Goyal, Indian Institute of Technoritamlogy Delhi, India (May 2020 - August 2020)
  • Yash Sharma, Indian Institute of Technology Roorkee, India (May 2020 - August 2020)
  • Ashish Gupta, Indian Institute of Technology Delhi, India (May 2020 - August 2020)
  • Manavendrasinh Maharana, Manipal Institute of Technology, India (Jan 2020 - June 2020)
  • Animesh Tiwari, Indian Institute of Technology Guwahati, India (May 2020 - August 2020)
  • Eshwar Nukala, Indian Institute of Technology Guwahati, India (May 2020 - August 2020)
  • Arya Arya, Indian Institute of Technology Jammu, India ( August 2020 - December 2020)
  • Mahir Jain, Manipal Institute of Technology, India ( August 2020 - December 2020)
  • Ayush Bhagat, Manipal Institute of Technology, India ( August 2020 - December 2020)
  • Ayush Jain, Indian Institute of Technology Guwahati, India (May 2020 - August 2020)
  • Divyanshu Singh, Indian Institute of Technology Guwahati, India ( August 2020 - December 2020)
  • Kousik Rajesh, Indian Institute of Technology Guwahati, India (May 2020 - August 2020)

2019

  • Aakarsh Yadav, Indian Institute of Technology, India (June 2019 - August 2019)
  • Ashray Aman, Indian Institute of Technology Delhi, India (June 2019 - August 2019)
  • Rishab Gupta, Indian Institute of Technology, India (June 2019 - August 2019)

2018

  • Konark Jain, Indian Institute of Technology, India (May 2018 - July 2018)
  • Arpit Kapoor, SRM Institute of Technology, India (June 2018 - August 2018)
  • Ratneel Deo, University of the South Pacific, Fiji (December 2017 - February 2018)
  • Wil Grebner, University of Sydney, Australia (February 2018 - June 2018)

Collaborators

  • Prof. Scott Sisson, UNSW Sydney, Australia
  • A/Prof Gustavo Batista, UNSW Sydney, Australia
  • Dr William Zhi, Carnegie Mellon University, USA
  • Prof. Dietmar Muller, University of Sydney, Australia
  • Prof. Christian Omlin, Agder University, Norway
  • Prof. Willem Vervoort, University of Sydney, Australia
  • Prof. Jody Webster, University of Sydney, Australia
  • Prof. Lucy Marshall, Macquarie University, Australia
  • A/Prof. Cedric John, Imperial College London, UK
  • A/Prof Cristian Bravo Roman, Western Ontario University, Canada
  • Dr Amit Kumar, Vietnam
  • Prof. Alok Sharma, RIKEN, Japan
  • Dr Abhishek Gupta, Indian Institute of Technology Goa, India
  • Prof. Yew Soon Ong, A* and Nanyang Technological University, Singapore
  • Dr Kavitesh Bali, A* and Nanyang Technological University, Singapore
  • Dr Anurag Sharma, University of the South Pacific, Fiji
  • A/Prof. Bibhya Sharma, University of the South Pacific, Fiji

We are looking for new PhD students, Postdocs, and Master’s/Honours students to join the team.