Welcome to my home page!

I am currently a Data Scientist at SEEK and an Honorary Machine Learning Scientist at the profile2Data Mining and Knowledge Discovery group at the Department of Computing and Information Systems, the University of Melbourne. From 9/2010 to 5/2013, I was a postdoctoral research fellow in Bioinformatics & Data Mining at the Faculty of Information Technology, Monash University.
  I have published 50+ research papers on a wide array of machine learning and data science topics, which attracted over 1000 Google Citations. I received the best paper awards from the APBC’2013 and SDM’2016 conferences.
I am enthusiastic about applying data science to real-world problems. I am a Kaggle Master on Kaggle, a website that hosts international data science competitions. As of Aug 2016, I rank within the top 0.5% of all 47K+ Kagglers.

NEWS

– Nov 2016: I won the  Discovery Early Career Researcher Award (DECRA) fellowship from the Australian Research Council.

– May 2016: We won the best paper award from the SDM’16 conference.

– May 2016: KDD paper on tensor factorization accepted

Research Interests

  • Data mining & Machine learning:
    • Bayesian networks, dynamic Bayesian networks
    • Clustering, feature selection, outlier detection and explanation, non-negative matrix and tensor factorization
    • Information theoretic approaches for machine learning
    • Big urban data and smart city
    • Deep learning
  • Bioinformatics:
    • Gene regulatory network modeling
    • Microarray data analysis
  • Applied optimization: convex and non-convex optimization, discrete global optimization, evolutionary computation

Professional activities:

– External expert assessor for the Romanian National Research Council (2011, 2012, 2016).
– Peer reviewer for the Australian Research Council (ERA 2012).
– Member of the Association for the Advancement of Artificial Intelligence (AAAI).

– Program committee member for:

  • AAAI’17, SDM’17
  • NIPS’16, KDD’16, SDM’16, AAAI’16, ICDM’16, ICPR’16, ACML’16, PAKDD’16, ACIIDS’16
  • SIG KDD’15, AAAI’15, SDM’15, IEEE ICDM’15, IEEE ISSNIP’15, PAKDD 2015, ACML’2015
  • AAAI’14, ACML’ 14, PAKDD’14, ICPR’14, ICONIP’14, CSoNet’14
  • IEEE ICDM’13, EMBC’13, Aus-AI’13, ICONIP’13
  • IEEE ICDM’12, EMBC’12, Aus-AI’12, ICPR’12, PAKDD’12, ACIIDS’12, ICONIP’12
  • IEEE ICDM’11, ICONIP’11, ACIIDS’11
– Session chair: AAAI’14, PAKDD’15
– Journal reviewer:
  • IEEE Transactions on Knowledge and Data Engineering, 2014, 2015
  • IEEE Transactions on Neural Networks and Learning Systems, 2014
  • Gene (Elsevier) 2014
  • Transactions on Knowledge Discovery from Data (ACM), 2013, 2014, 2015
  • The Journal of Machine Learning Research (MIT press), 2013, 2016
  • Pattern recognition (Elsevier), 2013
  • International journal of data mining and bioinformatics (Inderscience), 2012
  • Bioinformatics (Oxford University Press), 2012
  • Neurocomputing (Elsevier), 2012, 2013, 2015
  • Journal of Classification (Springer), 2012
  • International Journal of Machine Learning and Cybernetics (Springer), 2011
  • Evolutionary Bioinformatics (Libertas Academica), 2013
  • Knowledge and Information Systems (Springer), 2012, 2013
  • Eurasip Journal on Bioinformatics and Systems Biology, 2015

Funding

– Australian Research Council Discovery Early Career Researcher Award (DECRA) valued at A$360,000

– UniMelb ECR grant, Next Generation Association Measures for Big Metropolitan Data, Sole CI, 2015-2016, $40K

– Amazon Education Research Grant, 2014

– NVIDIA Hardware Grant (K40c GPU)

Teaching

– COMP90051: Statistical and Evolutionary Learning (S2, 2014, Co-Lecturer)

– COMP30024: Artificial Intelligence (S1, 2015, Guest-Lecturer)

– COMP90049: Knowledge Technologies (S2, 2015, Guest-Lecturer)

– COMP20008: Elements of Data Processing (S1, 2016, Guest-Lecturer)

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