1. IDSL
2. Publications
3. All Publications

Publication list under construction.

• Please see Google Scholar for a full list of publications.

• Videos and presentations are available in our YouTube page.

• Posters, data and other documents are also available in our Figshare page.

2021

1. Conference Proceedings
   Retrieval Enhanced Ensemble Model Framework For Rumor Detection On Micro-blogging Platforms
   Sharma, Rishab and Fard, Fatemeh H and Narayan, Apurva
   2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
   pp. 227--232. 2021 [PDF] [Slides] [Bib] [Video]
2. Conference Proceedings
   Self-Attention Mechanism in GANs for Molecule Generation
   Chinnareddy, Sandeep and Grandhi, Pranav and Narayan, Apurva
   2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
   pp. 57--60. 2021 [PDF] [Slides] [Bib] [Video]
3. Conference Proceedings
   An active transfer learning (atl) framework for smart manufacturing with limited data: Case study on material transfer in composites processing
   Ramezankhani, Milad and Narayan, Apurva and Seethaler, Rudolf and Milani, Abbas S
   2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS).
   pp. 277--282. 2021 [PDF] [Slides] [Bib] [Video]
4. Conference Proceedings
   A novel fuzzy approach towards in silico B-cell epitope identification inducing antigen-specific immune response for Vaccine Design
   Chharia, Aviral and Narayan, Apurva
   2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE).
   pp. 1--6. 2021 [PDF] [Slides] [Bib] [Video]
5. Conference Proceedings
   Is Timing Critical to Trace Reconstruction?
   Tobia, Javier Perez and Narayan, Apurva
   2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
   pp. 2700--2705. 2021 [PDF] [Slides] [Bib]
6. Conference Proceedings Best Paper Award Runner Up (In Top 10 in 300)
   MINTS: Unsupervised Temporal Specifications Miner
   Mahato, Pradeep K and Narayan, Apurva
   2021 IEEE 21th International Conference on Software Quality, Reliability and Security (QRS).
   pp. . 2021 [PDF] [Slides] [Bib]
7. 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]
8. Conference Proceedings
   Probabilistic Robustness Quantification of Neural Networks
   Kishan, Gopi and Narayan, Apurva
   Proceedings of the AAAI Conference on Artificial Intelligence.
   pp. 15966--15967. 2021 [PDF] [Bib]
9. Conference Proceedings
   Driving Scene Understanding: How much temporal context and spatial resolution is necessary?
   Gaurav, Ramashish and Tripp, Bryan and Narayan, Apurva
   The 34th Canadian Conference on Artificial Intelligence. 2021 [PDF] [Bib]

2020

10. 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]
11. Conference Proceedings
    QMine: A Framework for Mining Quantitative Regular Expressions from System Traces
    Mahato, Pradeep K and Narayan, Apurva
    2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C).
    pp. 370--377. 2020 [PDF] [Slides] [Bib]
12. 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]
13. Conference Proceedings
    GWAD: Greedy Workflow Graph Anomaly Detection Framework for System Traces
    Setiawan, Wiliam and Thounaojam, Yohen and Narayan, Apurva
    2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
    pp. 2790--2796. 2020 [PDF] [Bib]
14. Conference Proceedings
    Light Weight Dilated CNN for Time Series Classification and Prediction
    Khanna, Pranav and Narayan, Apurva
    2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
    pp. 2179--2183. 2020 [PDF] [Bib]
15. Conference Proceedings
    MA2DF: A Multi-Agent Anomaly Detection Framework
    Thounaojam, Yohen and Setiawan, Wiliam and Narayan, Apurva
    2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
    pp. 30--36. 2020 [PDF] [Bib]
16. Conference Proceedings
    Robust Supply Chains with Gradient Boosted Trees
    Mahato, Pradeep K and Narayan, Apurva
    2020 IEEE Symposium Series on Computational Intelligence (SSCI).
    pp. 2633--2639. 2020 [PDF] [Slides] [Bib]
17. 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

18. 
    Multimodal data fusion and prediction of emotional dimensions using deep neural network
    Bhandari, Dhruv and Paul, Sandeep and Narayan, Apurva
    Computational Intelligence: Theories, Applications and Future Directions-Volume II.
    pp. 215--228. 2019
19. Conference Proceedings
    Deep learning for system trace restoration
    Sucholutsky, Ilia and Narayan, Apurva and Schonlau, Matthias and Fischmeister, Sebastian
    2019 International Joint Conference on Neural Networks (IJCNN).
    pp. 1--8. 2019 [PDF] [Bib]
20. 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]
21. Conference Proceedings
    A Neural Word Embedding Approach to System Trace Reconstruction
    Lakhani, Karuna and Narayan, Apurva
    2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).
    pp. 285--291. 2019 [PDF] [Bib]
22. Conference Proceedings
    Mining time for timed regular specifications
    Narayan, Apurva and Fischmeister, Sebastian
    2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).
    pp. 63--69. 2019 [PDF] [Bib]

2018

23. 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]
24. 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

25. 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]
26. Conference Proceedings Tool Paper
    TREM: A Tool for Mining Timed Regular Specifications from System Traces
    L. Schmidt, A. Narayan, S. Fischmeister
    In Proceedings 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017).
    pp. . 2017 [PDF] [Slides] [Supplementary Info] [Bib] [Code] [Thesis] [Poster] [Video]
27. 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]
28. 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
29. 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
30. Conference Proceedings
    Long Short Term Memory Networks for Short-Term Electric Load Forecasting
    Narayan, Apurva and Hipel, Keith W
    . 2017 [PDF] [Bib]
31. Conference Proceedings
    Mining specifications using nested words
    Narayan, Apurva and Benann, Nirmal and Fischmeister, Sebastian
    2017 6th International Workshop on Software Mining (SoftwareMining).
    pp. 9--16. 2017 [PDF] [Bib]
32. Conference Proceedings
    System call logs with natural random faults: Experimental design and application
    Narayan, Apurva and Kauffman, Sean and Morgan, Jack and Tchamgoue, Guy Martin and Joshi, Yogi and Hobbs, Chris and Fischmeister, Sebastian
    SELSE-13: the 13th workshop on silicon errors in logic, system effects, Boston, MA, USA. 2017 [PDF] [Bib]

2016

33. Conference Proceedings
    Mining timed regular expressions from system traces
    Cutulenco, Greta and Joshi, Yogi and Narayan, Apurva and Fischmeister, Sebastian
    Proceedings of the 5th international workshop on software mining.
    pp. 3--10. 2016 [PDF] [Bib]

2015

34. Conference Proceedings
    Spatial dependence modeling and allocation of wind/solar resources using C-Vine copulas and value-at-risk
    Narayan, A. and Ponnambalam, K.
    2015 AMMCS-CAIMS Congress, Waterloo, Canada. 2015 [PDF] [Bib]
35. PhD Thesis
    A Framework For Microgrid Planning Using Multidisciplinary Design Optimization
    Narayan, Apurva
    . 2015

2013

36. Conference Proceedings
    Moments Based Fitting of Kumaraswamy PDF for Estimating VaR in Portfolio Optimization
    Narayan, A. and Ponnambalam, K.
    Industrial-Academic Workshop on Optimization in Finance and Risk Management. 2013

2012

37. Conference Proceedings
    Model based extreme value analysis and its application in Great Lakes
    Narayan, A. and Ponnambalam, K.
    55th Annual International Conference on Great Lakes Research, IAGLR. 2012

2011

38. Conference Proceedings
    Neuro-fuzzy inference system (ASuPFuNIS) model for intervention time series prediction of electricity prices
    Narayan, Apurva and Hipel, Keith W and Ponnambalam, K and Paul, Sandeep
    2011 IEEE International Conference on Systems, Man, and Cybernetics.
    pp. 2121--2126. 2011 [PDF] [Bib]
39. Conference Proceedings
    Extreme Value Analysis using Stochastic Differential Equations
    Narayan, A. and Ponnambalam, K.
    Conference on Probabilistic Methodologies in Water and Wastewater Engineering, Toronto. 2011

2009

40. Conference Proceedings
    A novel quantum evolutionary algorithm for quadratic Knapsack problem
    
    .
    pp. 1388-1392. 2009 [PDF] [Bib]
41. Conference Proceedings
    A novel quantum evolutionary algorithm for quadratic knapsack problem
    Narayan, Apurva and Patvardhan, Chellapilla
    2009 IEEE International Conference on Systems, Man and Cybernetics.
    pp. 1388--1392. 2009
42. Conference Proceedings
    Dynamic fuzzy controller based multilayered architecture for extended battery life in mobile handheld devices
    Srivastava, Tamanna and Narayan, Apurva
    2009 IEEE International Conference on Systems, Man and Cybernetics.
    pp. 3035--3040. 2009 [PDF] [Bib]

2008

43. Conference Proceedings
    Dynamic fuzzy load balancing on LAM/MPI clusters with applications in parallel master-slave implementations of an evolutionary neuro-fuzzy learning system
    Singh, Lotika and Narayan, Apurva and Kumar, Satish
    2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).
    pp. 1782--1788. 2008 [PDF] [Bib]

2007

44. Conference Proceedings
    Enhanced quantum evolutionary algorithms for difficult knapsack problems
    Patvardhan, C and Narayan, Apurva and Srivastav, Anand
    International Conference on Pattern Recognition and Machine Intelligence.
    pp. 252--260. 2007 [PDF] [Bib]