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

  • Worked on integrating large, noisy data sets for predictive modeling and regression analyses
  • Used regression which allowed to calculate SNIP from an incomplete database, validated SNIP asan indicator for collaboration, analyzed co-citation networks in research papers to determine citationpatterns in journals
  • applied Econometric models and convex optimization to compute globally optimal scholastic score,proposed and quantified a novel scholastic diversity score
  • contributed to the theory of machine learning and meta-heuristics and published in top tier conferencesand journals
    proposed a novel habitability score for exoplanets and used classification scheme to discriminate variousclasses of such planets
  • Co-PI, DST EMR, PI-Pritam Ranjan, IIM Indore, From Small Data to BigData: Complex Computer Modelling and Optimization, India.EMR/2017/003332

G Arun Kumar, Arvind Sundarensan, Snehanshu Saha, Bidisha Goswami, Shakti Mishra; A NovelProbabilistic strategy for Delay corrected allocation in shared resource systems, Cybernetics andInformation Technologies; BulgarianAcademy of Sciences (Accepted)
{ Kusuma.M and Saha.S, Machine Learning Methods as a test bed for EEG Analysis in BCI Paradigms,Handbook of Research on Applied Cybernetics and Systems Science (IGI Global), 2017.
{ Sobin.C.C, Raychaudhury.V and Saha.S, A Survey of Parallel Community Detection Algorithms,Handbook of Research on Applied Cybernetics and Systems Science (IGI Global), 2017.
{ Gambhire.S.S, Dey Roy.S, Sai.P, Goswami.B and Saha.S, A Study of Revenue Cost Dynamics in LargeData Centers: A Factorial Design Approach, ACM-ICC, 2017, Churchill College, Cambridge, UK.
{ Saha.S and Sarkar.J, Internet Data Centers (Invited Article), The SAGE Encyclopedia of the Internet3v, SAGE Reference project, 2017.
{ Saha et.al., A Novel revenue optimization model to address the operation and maintenance cost of adata center, Journal of Cloud Computing, (Springer), 5,1; 1-46, 2016.
{ 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
{ 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.
{ Kusuma.M, Saha,S., K.Srikantamurthy, G.M.Lingaraju, Distinct adoption of k-nearest neighbour andsupport vector machine in classifying EEG signals of mental tasks; Int. J. Intelligent EngineeringInformatics, Vol. 3, No. 3, 313-329,2015(InderScience)
{ Sarasvathi V, N.Ch.S.N.Iyengar, Saha, S., QoS Guaranteed Intelligent Routing using Hybrid PSO-GAin Wireless Mesh Networks, CYBERNETICS AND INFORMATION TECHNOLOGIES, Volume 15, No1, 69-83, 2015 (Bulgarian Academy of Sciences)