EAGE Annual Conference (accepted ORAL paper on Deep Learning for Signal Processing)
Published by
EAGE
Summary
Presented an oral paper on the application of deep learning for signal processing at the EAGE Annual Conference.
Highly accomplished computational scientist with 20+ years of expertise in handling petabytes of data. Experienced to go from definition of research problems to delivering final products. Proven ability to characterize and operationalize complex electronic instruments, develop workflows for passive-sensor data, and apply deep learning for signal processing. As a passionate entrepreneur, I've also spearheaded startups in mobile technologies for Indian languages and logistics, integrating product design, business development, and advanced text processing into a diverse skill set.
CEO
Bangalore, Karnataka, India
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Summary
As CEO, I founded and led a technology startup focused on Indian languages, scripts, and deep learning for image analysis, driving innovation in mobile and medical technology sectors.
Highlights
Spearheaded the development of mobile technologies for Indian languages and scripts, alongside medical technologies for memory-challenged individuals, demonstrating agile product development and market responsiveness.
Directed strategic planning and business development initiatives, acquiring proficiency in product design and text processing to drive venture growth and market penetration.
Applied deep learning for image analysis to create innovative solutions, leveraging scientific expertise to solve real-world problems in consumer and healthcare tech.
Computational Scientist
Bangalore, Karnataka, India
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Summary
Conducted advanced research in deep learning for seismic processing, passive-seismic interferometry, and fiber-optics for acoustic monitoring of pipelines at a leading energy research center.
Highlights
Developed and implemented novel deep learning technology to suppress coherent noise, achieving 100% greater effectiveness compared to existing methods in seismic traces.
Designed and built software pipelines for creating 4-D tomographic maps using non-invasive methods, enabling data acquisition in previously inaccessible areas and enhancing subsurface imaging.
Researched and applied passive-seismic interferometry to compute Green's functions and build tomographic models from continuously acquired data, advancing non-invasive monitoring capabilities.
Pioneered the detection of faint surface waves using fiber-optic data from producing wells, providing non-invasive acoustic monitoring solutions for pipeline integrity.
Dwingeloo, Drenthe, Netherlands
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Summary
Led research and instrument maintenance for the LOFAR telescope, focusing on time-frequency analysis, Fourier imaging, and instrument calibration.
Highlights
Established a new research program in spectral imaging of interstellar gases, successfully proposing and executing independent research while managing routine instrument support.
Managed and executed observations with diverse instrument environments and global scientific teams, contributing to dozens of spectacular discoveries by the LOFAR instrument.
Contributed to the LOFAR research consortium by establishing a key program in spectral lines, enhancing the instrument's scientific output and research impact.
Lecturer in Physics
Goa, Goa, India
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Summary
Taught undergraduate physics and conducted research in Fourier imaging and space telescope simulations, contributing to the development of an 8-antenna system.
Highlights
Conducted research in Fourier imaging of galactic sources and UVIT space telescope simulations, advancing understanding of radio optics.
Designed and implemented an 8-antenna BITS Telescope, leading a boot-strapped experimental project from conception to operationalization.
Delivered cross-disciplinary undergraduate courses in Computing, Image Processing, and Astrophysics, fostering interdisciplinary learning for students.
Winnipeg, Manitoba, Canada
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Summary
Conducted postdoctoral research on 2-D/3-D image data visualization, analysis, and pattern recognition, focusing on exotic stellar objects.
Highlights
Led a small Canadian collaboration to identify and study exotic dead stars and their neighborhoods, contributing to new astronomical insights.
Visualized and analyzed vast 2-D/3-D image data, applying advanced pattern recognition techniques to extract scientific information.
Authored and presented research manuscripts and seminars, disseminating findings to the scientific community.
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Ph.D.
Physics/Astronomy
Courses
Research on time variability of astrophysical signals with extremely high time resolution
Development of exquisite maps of pulsar emission for understanding emission mechanisms
Experiment planning, instrument and personnel management, big-data processing and analysis
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M.Sc.
Physics
Grade: National Merit Scholarship
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B.Sc.
Physics
Grade: First Class Honors, State Merit Scholarship
Published by
EAGE
Summary
Presented an oral paper on the application of deep learning for signal processing at the EAGE Annual Conference.
Published by
Society of Petroleum Geophysicists
Summary
Presented at the 12th Biennial International Conference & Exhibition of the Society of Petroleum Geophysicists.
Multi-node Systems, Image Analysis, Pattern Recognition, Cross-correlations, 1-D/2-D/3-D Spectral Analysis, Filtering, Data Processing, Data Management.
CNNs for Signal Processing, Classification with Mobile Touch Data, Simulations, Statistics.
Diffraction/Interference, Cross-correlation, Calibration, Deconvolution.
Test Antenna Arrays, Nyquist-sampled Voltages, Time-frequency Data.
Android Application Development, Lipee Devnagari Keyboard, New Technology Integration.
Startup Leadership, Strategic Planning, Business Development, Team Management, Project Management.
Scientific Research, Data Analysis, Problem Solving, Experiment Design, Big Data Processing.
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Summary
Patent application for a system and method facilitating 3-party communication for service delivery.
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Summary
Patent application for a system and method enabling emoji input on electronic devices.
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Summary
Co-investigator on a project to investigate physics of supersonic compressible turbulence by high-resolution numerical simulations of molecular clouds in star forming galaxies, funded by Portuguese Science Foundation (€121,568).
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Summary
Principal Investigator for a project focused on creating high-resolution images of stellar remnants, funded by the Department of Science & Technology (Govt. of India).