Vikram Jayaram, Ph.D.
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Machine Learning Scientist

My research and development foci are centered on following themes: Machine learning models for mathematical and physical exploitation in imaging, data analytics, signal/image enhancement & interpretation. My expertise include statistical signal processing, pattern recognition, parametric / non-parametric estimation & inverse problems.

I have also focused on STEM curricular reform assessment and student retention strategies. I have  experience in leading academic-industry consortia, higher-ED teaching / research, mentoring Ph.D. and M.S. thesis work & bringing external agency funding.


Summary

• Experienced technology leader in Healthcare, Oil and Gas and Travel Technology industries. 
• 10+ years of industry-academic experience in derived/applied Machine Learning / Artificial Intelligence technologies leading to breakthrough technology products. 
• 10+ years of experience in managing diverse corporate R&D groups / industry-academic consortium, university teaching experience and bringing external agency funding for research.
• 12+ years of consistent publications record in international conferences and journals. 
• Computer language proficiencies include S/W development experience in JAVA, C, C++, FORTRAN, R, Python, MATLAB and GPU/DSP architectures.
• Experienced in prototyping novel technologies, online learning via controlled experimentation. Familiarity with Big Data architectures and cloud computing solutions (AWS / GCP).
• Technical expertise span across Pattern Recognition, statistical analysis, artificial neural networks (including deep learning), design of controlled experiments (Multi-armed bandit, A/B testing), Multi-dimensional signal processing algorithms, non-linear regression, spatial modeling, matrix factorization, finite element / finite difference numerical modeling, time-frequency analysis, Wavelet/fractals Analysis and high dimensional visualization.



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