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Vikram Jayaram is listed as Founder @ Neuralix Inc. | AI for sustainability and excellence | Distinguished Scientist at Neuralix.ai, based in Houston, Texas, United States. AeroLeads shows a work email signal at pxd.com, phone signal with area code 214, 682, and a matched LinkedIn profile for Vikram Jayaram.
Vikram Jayaram previously worked as Founder at Neuralix.Ai and Board Member at University Of Oklahoma. Vikram Jayaram holds Ph.D., Electrical And Computer Engineering (Machine Learning) from The University Of Texas At El Paso.
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AeroLeads found 1 current-domain work email signal for Vikram Jayaram. Compare company email patterns before reaching out.
Leveraging over two decades in tech and data science, I'm an entrepreneur at the forefront of AI and data-driven innovation for the Energy and Manufacturing sectors. As founder of an AI startup, I lead a highly skilled team tackling digitalization challenges, building on a track record of tech leadership and sustainable advancement. I also contribute as a scientist and advisor, influencing data science education and my work is also widely published in the industry. My goal: to spearhead industry transformation through cutting-edge AI applications and a commitment to continuous learning and collaboration.“Risk more than others think is safe. Care more than others think is wise. Dream more than others think is practical. Expect more than others think is possible.” – Claude Bissell
Listed skills include Image Processing, Signal Processing, Matlab, Algorithms, and 37 others.
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Houston, Texas, US
Neuralix Inc. leverages AI to enhance Industry X.0, focusing on sustainability and Operational Excellence. Our award winning AI engine promotes decarbonization by integrating digital innovation and operational efficiency. We aim to advance industries towards a low-carbon future. Join our mission to use AI for sustainability and operational excellence.
Norman, Oklahoma, US
Industry advisory board member for the Data Science Institute / College of Engineering
Irving, Texas, US
★ Built and directed a multidisciplinary team to create industry-leading tech solutions, supporting $7B operations for real-time command centers (D&C, OPS) and developed analytics for OPEX reduction.★ Modernized reservoir forecasting systems, auto-forecasting for 4K+ oil wells with <2% error.★ Championed automation to boost productivity, cut costs, and.
Southlake, Texas, US
★ Instrumental in the overall growth of the data-driven approaches in Airline retail merchandizing, creating customer segmentation and choice behavior models, as well as travel recommender systems and subsequent product offerings for flights, hotels, and ancillary travel services.★ Ensured operational efficiency by managing flight arrival and departure.
Missouri City, TX, US
★ Developed broadband Marine Seismic Processing algorithms, multiple estimation and attenuation, and predictive filtering.★ Lead several projects in developing Machine learning algorithms for seismic facies recognition aiding seismic interpretation, and statistical reservoir characterization (collaboration with University of Oklahoma).★ Developed.
Norman, Oklahoma, US
★ Led research in Geophysical Machine learning leading to computational program development in the Earth and Energy programs. Also led industry projects, co-supervising Ph.D. dissertation/M.S. thesis work in Seismic attributes for prospect identification and reservoir characterization (C++, JAVA, FORTRAN).★ Development of multi-scale 3D Geophysical image &.
Houston, TX, US
★ Development of high-performance PET detectors, which measures depth-of-interaction (DOI) information with focus on detector response functions to improve PET image quality in novel instrumentation R&D (C++, Qt framework, FORTRAN based simulator GATE).★ Novel geometrical design in PET instrumentation and simulations of preclinical and clinical scan in.
Washington, DC, US
Developed Machine Learning Hyperspectral Classifiers under reduced dimensionality with applications to material identification in Earth observing spaceborne and airborne imagery.
Rochester, New York, US
Worked with Computational Science and Technology Research (CSTR) group on high dimensional machine learning regressors for image processing and modeling applications.
Springfield, VA, US
Joint Compression Classification (Machine Learning) in Hyperspectral Imagery
Bengaluru, Karnataka, IN
Development and Design of Multi-rate Filterbanks with Advanced Systems Division.
Bangalore, Karnataka, IN
Seismic filtering and Signal Processing for pavement analyzers
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Vikram Jayaram works for Neuralix.ai.
Vikram Jayaram is listed as Founder @ Neuralix Inc. | AI for sustainability and excellence | Distinguished Scientist at Neuralix.ai.
AeroLeads has found 1 work email signal at @pxd.com for Vikram Jayaram at Neuralix.ai.
AeroLeads has found 3 phone signal(s) with area code 214, 682 for Vikram Jayaram at Neuralix.ai.
Vikram Jayaram is based in Houston, Texas, United States while working with Neuralix.ai.
Vikram Jayaram has worked for Neuralix.Ai, University Of Oklahoma, Pioneer Natural Resources Company, Sabre Corporation, and Global Geophysical Services.
You can use AeroLeads to view verified contact signals for Vikram Jayaram at Neuralix.ai, including work email, phone, and LinkedIn data when available.
Vikram Jayaram holds Ph.D., Electrical And Computer Engineering (Machine Learning) from The University Of Texas At El Paso.
Vikram Jayaram is listed with skills including Image Processing, Signal Processing, Matlab, Algorithms, Pattern Recognition, Machine Learning, Modeling, and C.
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