1. IDSL
2. Publications
3. Papers

Publication list under construction.

2021

1. Journal Paper
   Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing
   Ramezankhani, Milad and Crawford, Bryn and Narayan, Apurva and Voggenreiter, Heinz and Seethaler, Rudolf and Milani, Abbas S
   Journal of Manufacturing Systems.
   pp. 345--354. 2021 [PDF] [Bib]

2020

2. Journal Paper
   Fecal microbiota transplantation efficacy for Clostridium difficile infection: A trans-kingdom battle between donor and recipient gut microbiomes
   Kazemian, Negin and Ramezankhani, Milad and Sehgal, Aarushi and Khalid, Faizan Muhammad and Kalkhoran, Amir Hossein Zeinali and Narayan, Apurva and Wong, Gane Ka-Shu and Kao, Dina and Pakpour, Sepideh
   bioRxiv. 2020 [PDF] [Bib]
3. Journal Paper
   The trans-kingdom battle between donor and recipient gut microbiome influences fecal microbiota transplantation outcome
   Kazemian, Negin and Ramezankhani, Milad and Sehgal, Aarushi and Khalid, Faizan Muhammad and Kalkhoran, Amir Hossein Zeinali and Narayan, Apurva and Wong, Gane Ka-Shu and Kao, Dina and Pakpour, Sepideh
   Scientific reports.
   pp. 1--10. 2020 [PDF] [Bib]
4. Journal Paper
   Deep neural networks for multimodal data fusion and affect recognition
   Bhandari, Dhruv and Paul, Sandeep and Narayan, Apurva
   International Journal of Artificial Intelligence and Soft Computing.
   pp. 130--145. 2020

2019

5. Journal Paper
   Pay attention and you won’t lose it: a deep learning approach to sequence imputation
   Sucholutsky, Ilia and Narayan, Apurva and Schonlau, Matthias and Fischmeister, Sebastian
   PeerJ Computer Science.
   pp. e210. 2019 [PDF] [Bib]

2018

6. Journal Paper
   Mining timed regular specifications from system traces
   Narayan, Apurva and Cutulenco, Greta and Joshi, Yogi and Fischmeister, Sebastian
   ACM Transactions on Embedded Computing Systems (TECS).
   pp. 1--21. 2018 [PDF] [Bib]
7. Journal Paper
   Learning graph dynamics using deep neural networks
   Narayan, Apurva and Roe, Peter HO’N
   IFAC-PapersOnLine.
   pp. 433--438. 2018 [PDF] [Bib]

2017

8. Journal Paper
   A stochastic programming approach for the planning and operation of a power to gas energy hub with multiple energy recovery pathways
   Mukherjee, Ushnik and Maroufmashat, Azadeh and Narayan, Apurva and Elkamel, Ali and Fowler, Michael
   Energies.
   pp. 868. 2017 [PDF] [Bib]
9. Journal Paper
   Risk-averse stochastic programming approach for microgrid planning under uncertainty
   Narayan, Apurva and Ponnambalam, Kumaraswamy
   Renewable Energy.
   pp. 399--408. 2017 [PDF] [Bib]
10. Journal Paper
    A stochastic programming approach for the planning and operation of a power to gas energy hub with multiple energy recovery pathways
    Mukherjee, Ushnik and Maroufmashat, Azadeh and Narayan, Apurva and Elkamel, Ali and Fowler, Michael
    Energies.
    pp. 868. 2017
11. Journal Paper
    Spatial Dependence Modeling of Wind Resource under Uncertainty Using C-Vine Copulas and Its Impact on Solar-Wind Energy Co-Generation
    Narayan, Apurva and Ponnambalam, Kumaraswamy and Pagsuyoin, Sheree A
    . 2017