snehansu

Qualification :
PhD( Mathematical Sciences), University of Texas at Arlington

Dissertation Title: A Study on The B Family Of Shallow Water Wave Equations
https://repositories.tdl.org/tdl-ir/handle/10106/1638

Professional Experience
Faculty, Mathematical Sciences, University of Texas El Paso 2009-2011
Faculty, Mathematical Sciences, University of Texas Arlington 2005-2008
Instructor, Mathematical Sciences, Clemson University 2003-2004

• Project Co-ordination
• ACM Student Chapter

• Discrete Mathematical Structures
• Pattern Recognition
• Machine Learning
{ Ginde, Saha et.al, ScientoBASE: a framework and model for computing scholastic indicators of nonlocalinfluence of journals via native data acquisition algorithms, Scientometrics (Springer), 107, 1-51, 2016.
{ Bora, Saha et al., CD-HPF: New Habitability Score Via Data Analytic Modeling, Astronomy andComputing (Elsevier), Vol 17, pp 129-143, 2016.
{ Saha, Agrawal,et al., ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform forData Analytics in Astronomy, 2015, http://arxiv.org/abs/1504.07865
{ Basak, Saha et al., Star Galaxy Separation using Adaboost and Asymmetric Adaboost, October 2016,DOI: 10.13140/RG.2.2.20538.59842, 10/2016
{ Agrawal, Saha et al., Exoplanets: Machine Learning Exploration via Mining and Automatic Labeling ofthe Habitability Catalog, October 2016, DOI: 10.13140/RG.2.2.17883.16165, 10/2016
{ Agarwal, B., Ravikumar.A., Saha, S, Big Data Veracity using Crowdsourcing Techniques and BayesianMAP and Multinomial Predictors, ICMLA 2017, URL:http://ieeexplore.ieee.org/document/7838288/.
{ Kusuma,M.., Saha, S., Srikantamurthy.K., A Communication Paradigm Using Subvocalized Speech:Translating Brain Signals into Speech, Augmented Human Research, Springer , Vol 1, 1, 1-14, 2016.
{ Agarwal, B., Ravikumar.A., Saha, S., A Novel Approach to Big Data Veracity using CrowdsourcingTechniques and Bayesian Predictors, ACM Compute 2016, Proceedings of the 9th Annual ACM IndiaConference, 153-160, doi>10.1145/2998476.2998498
{ Jangid, N., Saha, S., Mathur, A., Narasimhamurthy, A., DSRS: Estimation and Forecasting of JournalInfluence in the Science and Technology Domain via a Lightweight Quantitative Approach, CollnetJ.Scientometrics and Information Management, Vol 10, #1, 41-70, 2016 (Taylor and Francis), DOI:10.1080/09737766.2016.1177939
{ Sobin C C, Raychoudhury.V and Saha, S., An Energy-efficient and Buffer-aware RoutingProtocol forOpportunistic Smart Traffic Management, ; ICDCN’17
{ Hebbar, S., Saha, S., Mathur, A., Discrete path selection and entropy based sensor node failuredetection in Wireless Sensor Networks, Cybernetics and Information Technologies (Bulgarian Academyof Sciences), Vol 16, 3, 137-153
{ Sarasvathi.V, Saha, S., N.Ch.S.N. Iyengar and Koti, M.;Coefficient of Restitution based Cross LayerInterference Aware Routing Protocol in Wireless Mesh Networks, IJCNIS; Vol 7 #3, 177-186, 2016

  1. Visiting Research Fellowship}{Department of Statistics}{University of Georgia Athens}{USA}{}
  2. Co-PI, DST EMR, PI-Pritam Ranjan, IIM Indore}{From Small Data to Big Data: Complex Computer Modelling and Optimization}{India}{EMR/2017/003332}
  3. Vice Chair-Development- International AstroStatistics Association, USA
  4. Featured Research in Astronomy and Machine learning---recently covered in a brief news article appearing in one of the issues of Science Letter, Page # 1320}{}{}{NewsRx, http://tinyurl.com/tjbaagy}

  1. Snehanshu Saha, Abu Kurian, Harsha Aladi and Aparna Basu, Predictive Analytics for Safer Smart Cities, IEEE SmartTechCon, August 2017 (accepted)
  2. B. Goswami, J. Sarkar, S. Saha and S. Kar., CD-SFA: Stochastic Frontier Analysis Approach to Revenue Modeling in Cloud Data Centers, J. Computer Networks and Distributed Systems
  3. Sobin. C. C., Roychaudhury, V., Saha. S., An Incentive-based scheme for Mitigating Node Selfishness in Smart Opportunistic Mobile Networks, Wireless Personal Communications, 1-19, (2017); doi:10.1007/s11277-017-4139-x, Springer.
  4. Kusuma.M, S.Saha., Fractional Order Signal Processing in EEG Signal Analysis, Linear and Nonlinear Fractional Order Systems: Analysis and Applications, Elsevier (accepted), 2017
  5. Ginde,G., Aedula,R., S.Saha., Mathur.A., S.Roy Dey, G.S.Sampatrao, B.S.DayaSagar, Big Data acquisition, preparation and analysis using Apache Software Foundation Projects, Big Data Analytics Tools, Technology for Effective Planning, Taylor and Francis, 2017.
  6. Gambhire.S.S, Dey Roy.S, Sai.P, Goswami.B and Saha.S, A Study of Revenue Cost Dynamics in Large Data Centers: A Factorial Design Approach, textit{ACM-ICC, 2017, Churchill College}, ISBN: 978-1-4503-4774-7; Cambridge, UK.
  7. Saha.S and Sarkar.J, Internet Data Centers textit{(Invited Article)}, textit{The SAGE Encyclopedia of the Internet 3v}, SAGE Reference project, 2017.
  8. Dynamics of Amoebiasis Transmission: Stability and Sensitivity Analysis
  9. SES-RREF: The Machine Learning Approach to Credible Metrics of Scholastic Evidence via Recursive Referencing Mathematics 5 (4) 58 2017
  10. A Novel Probabilistic Strategy for Delay Corrected Allocation in Shared Resource Systems Cybernetics and Information Technologies 17 (2) 83-96 2017
  11. Early Prediction of LBW Cases via Minimum Error Rate Classifier: A Statistical Machine Learning Approach Smart Computing (SMARTCOMP) 2017 IEEE International Conference on 1-6 2017
  12. Machine Learning Methods as a Test Bed for EEG Analysis in BCI Paradigms Handbook of Research on Applied Cybernetics and Systems Science 186-206 2017
  13. A Survey of Parallel Community Detection Algorithms
    Handbook of Research on Applied Cybernetics and Systems Science 1-26 2017
  14. An Energy-efficient and Buffer-aware Routing Protocol for Opportunistic Smart Traffic Management
    Proceedings of the 18th International Conference on Distributed Computing 2017
  15. A novel revenue optimization model to address the operation and maintenance cost of a data center, Journal of Cloud Computing, (Springer), 5,1; 1-46, 2016.
  16. ScientoBASE: a framework and model for computing scholastic indicators of nonlocal influence of journals via native data acquisition algorithms, Scientometrics (Springer), 107, 1-51, 2016.
  17. Bora, Saha et al., CD-HPF: New Habitability Score Via Data Analytic Modeling, Astronomy and Computing(Elsevier), Vol 17, pp 129-143, 2016.
  18. Saha, Agrawal,et al., ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy, 2015, http://arxiv.org/abs/1504.07865
  19. Basak, Saha et al., Star Galaxy Separation using Adaboost and Asymmetric Adaboost, October 2016, DOI: 10.13140/ RG.2.2.20538.59842, 10/2016
  20. Agrawal, Saha et al., Exoplanets: Machine Learning Exploration via Mining and Automatic Labeling of the Habitability Catalog, October 2016, DOI: 10.13140/RG.2.2.17883.16165, 10/2016, DOI: 10.13140/RG.2.2.17883.16165
  21. Agarwal, B., Ravikumar.A., Saha, S, Big Data Veracity using Crowdsourcing Techniques and Bayesian MAP and Multinomial Predictors, ICMLA 2016.
  22. Kusuma,M.., Saha, S., Srikantamurthy.K., A Communication Paradigm Using Subvocalized Speech:Translating Brain Signals into Speech, Augmented Human Research, Springer , Vol 1, 1, 1-14, 2016
  23. Agarwal, B., Ravikumar.A., Saha, S., A Novel Approach to Big Data Veracity using Crowdsourcing Techniques and Bayesian Predictors, ACM Compute 2016, Proceedings of the 9th Annual ACM India Conference, 153-160, doi>10.1145/2998476.2998498
  24. Jangid, N., Saha, S., Mathur, A., Narasimhamurthy, A., DSRS: Estimation and Forecasting of Journal Influence in the Science and Technology Domain via a Lightweight Quantitative Approach, Collnet J.Scientometrics and Information Management, Vol 10, #1, 41-70, 2016 (Taylor and Francis), DOI: 10.1080/ 09737766.2016.1177939
  25. Sobin C C, Raychoudhury.V and Saha, S., An Energy-efficient and Buffer-aware Routing Protocol for opportunistic Smart Traffic Management, ; ICDCN’17
  26. Hebbar, S., Saha, S., Mathur, A., Discrete path selection and entropy based sensor node failure detection in Wireless Sensor Networks- Cybernetics and Information Technologies (Bulgarian Academy of Sciences), Vol 16, 3, 137-153
  27. Sarasvathi.V, Saha, S., N.Ch.S.N. Iyengar and Koti, M.;Coefficient of Restitution based Cross Layer Interference Aware Routing Protocol in Wireless Mesh Networks, IJCNIS; Vol 7 #3, 177-186, 2016
  28. Evidence of chaos in EEG signals: an application to BCI ; Kusuma, M.,Saha, S., K.Srikantamurthy, Advances in Chaos Theory and Intelligent Control, Studies in Fuzziness and Soft Computing, Vol 337, 2016, Springer-Verlag, Germany.