Research

While we are a commercial organization focused on delivering impactful Applied AI solutions for our clients, we are equally invested in research with several paper publications ranging from Record Linkage Algorithms to Geospatial Events in UFO database.

Our team has published scientific and research papers on several contemporary topics in the field of Advanced Analytics, Artificial Intelligence and Machine Learning. Our team of Scientific Advisers include:

  • Srikanth Ramaswamy, PhD, Silico Neurosciences, EPFL, Lausanne, Vaud

  • Abhinandan S Prasad, PhD, Computer Science, The University of Gottingen

Scientific Papers

1. ”Negative Binomial Classifier for Record Linkage”, In progress of submission to ICML 2021

https://arxiv.org/abs/1908.03830

2. ”Bayesian Networks using Python”, Book to be published by Apress in 2021 - In Progress

3. Harish Krishnamurthy, Anna Lafontant, Ren Yi, A Time-Series Cluster Space Search Scheme for Localization of Geospatial Events in the UFO database., Best Presentation Award, International Conference on Machine Learning Applications (ICMLA), Copenhagen, June 2017. ICMLA , Copenhagen, 2017

https://publications.waset.org/10009995/localization-of-geospatial-events-and-hoax-prediction-in-the-ufo-database

4. “From ProtoTyping to Production, Building an Efficient Pipeline“, Artificial Intelligence Summit, StampedeCon, St. Louis, MO, USA, 2017.

https://stampedeconaisummit2017.sched.com/speaker/harish16

5. Probabilistic Graphical Models (PGMs) for Fraud Detection and Risk Analysis, Open Data Science Conference 2017, Bengaluru, India

https://confengine.com/odsc-india-2018/proposal/6401/probabilistic-graphical-models-pgms-for-fraud-detection-and-risk-analysis

6. Probabilistic Graphical Models, HMMs using PGMPY, ODSC 2017, Bengaluru, India

https://confengine.com/odsc-india-2018/proposal/6398/probabilistic-graphical-models-hmms-using-pgmpy

7. Graduate Course in Machine Learning, State University of New York (SUNY), Buffalo,

8. Classification of Power System Faults using Probabilistic Neural Networks and Wavelet Transforms, IEEE circuits & systems, ISCAS 2003,

https://ieeexplore.ieee.org/abstract/document/1205046

9. Hybrid Neural Networks for Age Identification of Ancient Kannada Scripts, IEEE Circuits & Systems, ISCAS 2003,

https://ieeexplore.ieee.org/abstract/document/1206399

10. Least Square Variational Bayesian Autoencoder with Regularization (In review- Journal of Machine Learning Research)

https://arxiv.org/abs/1707.03134 

11. “Probabilistic Machine Learning”, Book to be Published by Packt in 2021 - In Progress.

12. RAERA: A Robust Auctioning Approach for Edge Resource Allocation, IEEE

https://ieeexplore.ieee.org/abstract/document/6514021/

13. Reconstruction and Simulation of Neocortical Micro-circuitry

https://www.sciencedirect.com/science/article/pii/S0092867415011915

14. Rich cell-type-specific network topology in neocortical micro-circuitry

https://www.nature.com/articles/nn.4576

15. Data‐driven integration of hippocampal CA1 synaptic physiology in silico

https://onlinelibrary.wiley.com/doi/full/10.1002/hipo.23220

16. Regularized covariance matrix estimation with high dimensional data for supervised anomaly detection problems

https://ieeexplore.ieee.org/abstract/document/7727554

17. A spiking neural model for the spatial coding of cognitive response sequences

https://ieeexplore.ieee.org/abstract/document/5578853

18. A hierarchical model of synergistic motor control

https://ieeexplore.ieee.org/abstract/document/6706902

19. Learning Complex Population-Coded Sequences

https://link.springer.com/chapter/10.1007/978-3-642-04274-4_31

20. Effect of second trimester and third trimester weight gain on immediate outcomes in neonates born to mothers with gestational diabetes: a retrospective observational study from India

https://www.tandfonline.com/doi/abs/10.1080/14767058.2018.1482270

21. Methods, systems, and computer readable media for supporting multi-homed connections

https://patents.google.com/patent/US20200204478A1/en

22. Supervised Negative Binomial Classifier for Probabilistic Record Linkage

https://deepai.org/publication/supervised-negative-binomial-classifier-for-probabilistic-record-linkage

23. A Mechanism Design Approach to Resource Procurement in Cloud Computing

https://ieeexplore.ieee.org/abstract/document/6514021

24. RAERA: A Robust Auctioning Approach for Edge Resource Allocation

https://dl.acm.org/doi/abs/10.1145/3098208.3098217

25. On the Security of Software-Defined Networks

https://ieeexplore.ieee.org/abstract/document/7313625