Principal Research Scientist
CurrentI work on developing machine learning and image processing solutions that enable point of care CT imaging for various applications.
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@umich.edu
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Rupesh Gupta is listed as Algorithm Developer | Computer Vision & Machine Learning Expert | Principal Research Scientist at Xoran Technologies at Xoran Technologies, a company with 68 employees, based in Ann Arbor, Michigan, United States. AeroLeads shows a work email signal at umich.edu and a matched LinkedIn profile for Rupesh Gupta.
Rupesh Gupta previously worked as Principal Research Scientist at Xoran Technologies and Graduate Student Research Assistant at University Of Michigan. Rupesh Gupta holds Master'S Degree, Ee: Signal And Image Processing And Machine Learning, Gpa: 4.0/4.0 from University Of Michigan.
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I am a Principal Research Scientist with expertise in computer vision, machine learning, and medical imaging algorithms. At Xoran Technologies, I have developed advanced imaging solutions for cone-beam CT, including motion correction, metal artifact reduction techniques, and machine learning models like UNet and Cycle-GANs for image enhancement. My contributions have driven innovations such as the MiniCAT IQ+ and advanced research in fast lung imaging and dual cone-beam PET systems.During my M.S. in Electrical and Computer Engineering at the University of Michigan, I gained a strong foundation through coursework in computer vision, machine learning, natural language processing, and optimization methods, which provided me with a deep understanding of natural images and advanced algorithms. And my course projects allowed me to apply these concepts to real-world problems, further solidifying my expertise. Additionally, as a Graduate Student Instructor for Computer Vision (EECS 504), I developed valuable mentoring experience, guiding graduate students through complex problems.I am passionate about leveraging advanced imaging technologies to tackle complex challenges, enhance system performance, and drive innovation in imaging solutions.
Listed skills include C, Microsoft Office, Microsoft Word, Microsoft Powerpoint, and 5 others.
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Ann Arbor, Michigan, United States
I work on developing machine learning and image processing solutions that enable point of care CT imaging for various applications.
Ann Arbor, Michigan, United States
Guide: Prof Jeffrey Fessler, Department of Electrical and Computer EngineeringProf Yuni Dewaraja, Department of RadiologyI'm working on implementing deep learning methods for low-count quantitative image reconstruction in PET (Positron Emission Tomography) and SPECT (Single Photon Emission Computed Tomography) imaging.Full count PET/SPECT scans in clinical.
Bangalore
As a research intern, I developed an unfolded-FISTA deep neural network for parameter estimation in Finite Rate of Innovation (FRI) signals. This model is useful in improving the depth resolution in Ultrasound imaging. Backtested parameters for Ultrasound signal had around 5% lower minimum mean square error at all noise levels compared to benchmark and.
Tiruchchirappalli Area, India
Under the guidance of Prof. P. Palanisamy, I worked on bachelor thesis project on compression of electro-cardiogram (ECG) signals using compressing sensing model, useful in Tele-cardiology applications. I implemented a modified adaptive dictionary learning based reconstruction framework using MATLAB. The model effectively utilizes mutual coherence.
Berlin Area, Germany
Implemented a neural network on a Calliope-mini micro-controller to estimate the height of a person using accelerometer data collected from hand gesture movements. Also, demonstrated optimization in data transmission at wireless sensor nodes.
Bengaluru Area, India
Developed a MATLAB code to analyze the depth resolution of FRI reconstruction method in estimating the layer thickness of a two-layer specimen using Ultrasound pulse. Analyzed and explained the resolution capability using 4th order NP-FRI model for real US data collected at various noise levels.
Mumbai, Maharashtra, India
Worked on Single Board Heater System (SBHS) Remote Triggered Virtual laboratory. SBHS virtual lab is an initiative to help students, teachers and in general enthusiasts to perform experiments in Instrumentation and Control labs virtually. We proposed a new load-balanced architecture for this system, involving slave raspberry pi controllers and single.
Other employees you can reach at xorantech.com. View company contacts for 68 employees →
Jonathan Katz
Colleague at Xoran TechnologiesIsrael, Israel
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Junyan Shi
Colleague at Xoran TechnologiesAnn Arbor, Michigan, United States, United States
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Mitch Robertson
Colleague at Xoran TechnologiesDacula, Georgia, United States, United States
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Greg Varner
Colleague at Xoran TechnologiesAnn Arbor, Michigan, United States, United States
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Andre Savage
Colleague at Xoran TechnologiesBelleville, Michigan, United States, United States
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Ana Teofilovic
Colleague at Xoran TechnologiesAnn Arbor, Michigan, United States, United States
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Floyd Daniels
Colleague at Xoran TechnologiesColumbus, Ohio, United States, United States
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Justin B.
Colleague at Xoran TechnologiesAnn Arbor, Michigan, United States, United States
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Mike Boosey
Colleague at Xoran TechnologiesWhite Lake, Michigan, United States, United States
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Jeremy Layman
Colleague at Xoran TechnologiesAnn Arbor, Michigan, United States, United States
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My focus is on design of theoretical well-founded algorithms using DNNs for image processing applications with emphasis on medical imaging.
Activities and Societies: Manager at Pragyan Workshops team, Pragyan NIT Trichy
Activities and Societies: School Captain in 9th grade; active member of the Science club
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Rupesh Gupta works for Xoran Technologies.
Rupesh Gupta is listed as Algorithm Developer | Computer Vision & Machine Learning Expert | Principal Research Scientist at Xoran Technologies at Xoran Technologies.
AeroLeads has found 1 work email signal at @umich.edu for Rupesh Gupta at Xoran Technologies.
Rupesh Gupta is based in Ann Arbor, Michigan, United States while working with Xoran Technologies.
Rupesh Gupta has worked for Xoran Technologies, University Of Michigan, Indian Institute Of Science (Iisc), National Institute Of Technology, Tiruchirappalli, and Technische Universität Berlin.
Rupesh Gupta's colleagues at Xoran Technologies include Jonathan Katz, Junyan Shi, Mitch Robertson, Greg Varner, and Andre Savage.
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Rupesh Gupta holds Master'S Degree, Ee: Signal And Image Processing And Machine Learning, Gpa: 4.0/4.0 from University Of Michigan.
Rupesh Gupta is listed with skills including C, Microsoft Office, Microsoft Word, Microsoft Powerpoint, C++, Microsoft Excel, Web Development, and Matlab.
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