• Sep, 2017: Our project uStash is the winner of 2017 NASSCOM IT Technical Innovation Award. Find Judge’s citation Here.
  • Aug, 2017: Paper accepted in DSAA’17. With data collected during Kumamoto earthquake, we show how a spatio-temporal LSTM deep neural network outperforms existing regressive modes(i.e. ARIMA & SVR) for crowd density estimation in a highly dynamic and disruptive scenario. The result could help improve disaster management and relief.
  • Apr, 2017  I serve as TPC member of Ubicomm’17ICT-DM’17 and ICSNC’17 . I am attending PAM’17 held in Sydney and WWW’17 in Perth. Our paper in IWSC is 1 of Three Selected Papers for WWW Journal Recommendation.
  • Feb, 2017: We have two papers accepted in Elsevier Computer Communication (comcom) and Social Computing workshop (co-located with WWW’17).
  • Dec, 2016: My paper in collaboration with NII received the best paper award in ICT-DM. The acceptance ratio is 35%, and we are nominated from all 26 accepted papers. http://ict-dm2016.ait.ac.at/


I am a Ph.D student in school of EET from UNSW (supervised  by Prof. Aruna Seneviratne & Dr. Kanchana Thilakarathn), and affiliated with Data61, CSIRO. I am a computer science student with strong analytic skills, solid engineering background, and experience in handling and analysing large datasets using advanced data analysis and data mining tools.

I am experienced in applying machine/deep learning models on real-world problems, and I also have interest in quantitative analysis on finance/investing as well as related modelling. My PhD is in the area of improving mobile system performance exploiting human behaviour and context [Abstract].

  • I received B.E. with First Class Honours in Telecommunications from the USYD, Australia in 2014.
    • My thesis was done externally and supported by Network Research Group in National ICT Australia (NICTA).
  • Rich Experience in academic/industry research labs in Europe, Japan and Australia;
  • Experience working with large, often messy, datasets, with a focus on Mobile Data (i.e. Teleco Network Dataset; Multimedia dataset; Geographical data and User App/Behaviour Dataset etc). Experience in Python, Linux, Cloud Computing.
  • I have broad research interests include but not limited to;
    • Mobile Content Distribution, Mobile Computing
    • Applied Data Mining and Machine Learning
    • Data-Driven system performance & User Modelling.
      • Focused on Spatial-Temporal data and User behaviours.

Outside of research, I am in the process of building a start-up company which utilizes deep learning and NLP algorithms to provide English students with access to instantaneous and quality feedback.

I also worked at UNSW Innovation in collaboration with Business Development Managers on assessing new technologies and managing the commercialisation process. Typically includes;

  • Patent & Technical Review
  • Early Commercial Assessment (Commercial viability of new inventions)
  • Marketing Assessments and identifying potential licensees


All PDFs of my published papers could be found below, ResearchGate and Google Scholar.

I also enjoy travelling and photography, if your are interested in the photos I have taken Link.

Find my current CV_2018Apr.


Awards & Honors: 

  • 2017 · Telefonica R&D PhD fellowship Award.
  • 2017 · Winner of NASSCOM IT Technical Innovation Award (1 Australia wide)
  • 2016 · Best Paper Award ICT-DM’16
  • 2016-2017 · National Institute of Informatics (NII) Intern Award (2 recipients)
  • 2015-2016 · UNSW PRSS Travel Grant
  • 2015-2018 · RTP scholarship
  • 2015-2018 · NICTA (Data61) enhanced Ph.D. scholarship (<5% success rate)
  • 2013-2014 · NICTA summer scholarship
  • 2013 · NICTA summer intern Prize winner
  • 2012-2015 · High Performance Certificate in 2nd/3rd/4th year Advanced Engineering & Advanced Engineering Certificate (USYD)
  • 2014 · USYD Tutor Training Certificate


Ph.D in Telecommunications (2015-Present)

The University of New South Wales, Australia

B.E in EE (Telecommunications) First Class Honor (2011-2014)

The University of Sydney, Australia


Under Review

  • F. Jiang, K. Thilakarathna, S. Mrabet, M. Ali Kaafar, A. Seneviratne, “uStash: a Novel Mobile Content Delivery System for Improving User QoE in Public Transport,” [PDF]

Journal Publications

  1. K. Thilakarathna, F. Jiang, S. Mrabet, M. Ali Kaafar, A. Seneviratne, G.Xie “Crowd- Cache: Leveraging on Spatio-Temporal Correlation in Content Popularity for Mobile Networking in Proximity,” Elsevier Computer Communication, 2017. (Impact Factor~2.099) [PDF]
  2. F. Jiang, E. Zarepour, M. Hassan, A. Seneviratne, and P. Mohapatra, “Type , Talk , or Swype : Characterizing and Comparing Energy Consumption of Mobile Input Modalities,” Pervasive and Mobile Computing, 2015. (Impact Factor~1.719) [PDF]

Conference Publications

  1. F.Jiang, L.Zhong, K. Thilakarathna, A.Seneviratne, K.Takano, S.Yamada, Y.Ji, “Supercharging Crowd Dynamics Estimation in Disasters via Spatio-Temporal Deep Neural Network” in The 4th IEEE International Conference on Data Science and Advanced Analytics (DSAA’17) [PDF]
  2. F.Jiang, K. Thilakarathna, M. Hassan, Y.Ji and A. Seneviratne. “Efficient Content Distribution in DOOH Advertising Networks Exploiting Urban Geo-Social Connectivity,”(IWSC17) in WWW ’17: 26th International World Wide Web Conference Companion. [PDF]
  3. F. Jiang, Z. Liu, K. Thilakarathna, Z. Li, Y. Ji, A. Seneviratne. “TransFetch: A Viewing Behavior Driven Video Distribution Framework in Public Transport,”in The 41th IEEE Conference on Local Computer Networks (LCN’16)(Dubai, UAE)  (Core Rank A) [PDF]
  4. F. Jiang, K.Thilakarathna, S. Mrabet and M. A. Kaafar, “uDrop: Pushing Drop-Box to the Edge of Mobile Network,” in 2016 IEEE International Conference on Pervasive Computing and Communications Demonstrations. (Core Rank A*)[PDF]
  5. L.Zhong, K.Takano, F.Jiang, X.Wang, Y.Ji and S.Yamada”. “Spatio-Temporal Data-Driven Analysis of Mobile Network Availability During Natural Disasters,” in International Conference on Information and Communication Technologies for Disaster Management, IEEE (ICT-DM’16). [Best Paper Award] [Acceptance rate: 35%][PDF]
  6. F. Jiang, E. Zarepour, M. Hassan, A. Seneviratne, and P. Mohapatra, “When to type, talk, or swype: Characterizing energy consumption of mobile input modalities,” in Pervasive Computing and Communications (PerCom’15), 2015 IEEE International Conference on, pp. 114–122, March 2015. (Core Rank A*)( Acceptance rate: 8%)[PDF]
  7. F. Jiang, K. Thilakarathna, M. A. Kaafar, F. Rosenbaum, and A. Seneviratne, “A spatio-temporal analysis of mobile internet traffic in public transportation systems: A view of web browsing from the bus,” in Proceedings of the 10th ACM MobiCom Workshop on Challenged Networks, CHANTS ’15, (Paris, France), pp. 37–42, ACM, 2015. [PDF]
  8. S. Seneviratne, F. Jiang, M. Cunche, and A. Seneviratne, “SSIDs in the Wild: Extracting Semantic Information from WiFi SSIDs,” in The 40th IEEE Conference on Local Computer Networks (LCN’15), (Clearwater Beach, Florida, United States), Oct. 2015. (Core Rank A) [PDF]
  9. K. Thilakarathna, F. Jiang, S. Mrabet, M. A. Kaafar, A. Seneviratne, and P. Mohapatra, “Demo: Crowd-cache–popular content for free,” in Proceedings of the 12th annual international conference on Mobile systems, applications, and services, (Mobisys’14), pp. 358–359, ACM, 2014. [PDF]

Honor Thesis 

  • F.Jiang “Factors influencing performance of smart mobile user stashy”, University of Sydney, 2014. [PDF]
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