Ai Research Scientist
Current* Generative AI techniques to enhances surgical view in real-time
Sep 2024 - Present
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Sukesh Adiga V Email & Phone Number
AI Research Scientist
at
Vope Medical
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✓ Verified August 2026
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Sukesh Adiga V is listed as AI Research Scientist at Vope Medical, based in Montreal, Quebec, Canada. AeroLeads shows a matched LinkedIn profile for Sukesh Adiga V.
Sukesh Adiga V previously worked as Graduate Research Assistant at Mila - Quebec Artificial Intelligence Institute and Research Scholar at École De Technologie Supérieure. Sukesh Adiga V holds Doctor Of Philosophy - Phd, 4.3/4.3 from École De Technologie Supérieure.
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Vope Medical
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About Sukesh Adiga V
Machine learning researcher with 7+ years of experience developing and prototyping innovative algorithms. Proficient in leveraging deep learning techniques for medical image analysis, resulting in 9+ peer-reviewed publications. Proven ability to bridge research and industry through 4+ years of software engineering in a R&D.I graduated in July 2024 and am open to opportunities in either ML research or engineer roles.𝗔𝗿𝗲𝗮 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Deep Learning, Computer Vision, Medical Image Analysis, Image Segmentation, Semi-supervised learning, Weakly-supervised learning, Uncertainty, Representation learning, Interpretability, Calibration, Image retrieval, Image enhancement, CNN, Generative adversarial network, Geometric deep learning, and Generative AICurrently, I am a Ph.D. candidate at Shapets lab, ETS Montreal, under the supervision of Prof. Herve Lombaert and Prof. Jose Dolz. Previously, I did a master's (by research) at the Center for Visual Information Technology, IIIT Hyderabad, India, under the guidance of Prof. Jayanthi Sivaswamy. Before that, I worked as a Software Engineer at LG Soft India, Bengaluru. I received my B.E. degree in Electronics and Communication Engineering from the SJCE, Mysuru, India, in 2012.My research focuses on applying Machine Learning techniques to medical images. In my doctoral studies, I am working on leveraging uncertainty for medical image segmentation (MR, CT, dermoscopy) under full and limited supervision. Prior to this, I developed algorithms for retinal image enhancement in my Master's. In particular, I improved the quality of smartphone-based fundus and optical coherence tomography (OCT) images using unsupervised and limited supervised techniques.As a researcher, I recognize the importance of reliable and affordable technologies for social good. I would love to connect with you and explore potential opportunities.
Current workplace
Sukesh Adiga V's current company
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7 roles
Sukesh Adiga V work experience
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Graduate Research Assistant
Research Scholar
* Applied machine learning researcher in medical image segmentation, uncertainty, semi-supervised learning, weakly-supervised learning, representation learning, and calibration* 5+ publications, including top journals (MedIA, JBHI) and conferences (MICCAI, MIDL)* FRQNT merit scholarship by Ministry of Education, Quebec (Ranked 1st)* Quebec Bio-imaging Network (QBIN) Travel award to present my work at MIDL 2023 (oral presentation)
Sep 2019 - Aug 2024
Research Assistant
* Applied ML researcher in Medical Image Processing, including image enhancement, denoising, and inpainting of smartphone-based fundus images and OCT images using deep learning techniques* 3 publications including Top-tier conferences (acceptance < 35%)* Indian Council of Medical Research (ICMR) travel award to present my work at the ISBI 2019 conference* Top 3 position in Fingerprint Denoising and Inpainting Competition, ECCV Satellite Event, 2018
Jan 2017 - Jul 2019
Teaching Assistant
Delivered tutorials, designed and evaluated assignments and projects for Medical Image Analysis Course.
Jan 2019 - Apr 2019
Senior Software Engineer
My contributions to the development of the WebOS multimedia platform are as follows:* Implemented the audio policies service for different audio streams* Developed a low-power media pipeline using Gstreamer and PulseAudio framework
Jan 2015 - Jul 2016
Software Engineer
* A voice service based on PulseAudio is designed and developed for tts and stt support* Developed a GStreamer-based Media Server for audio and video playbacks for WebOS
Jul 2012 - Dec 2014
4 education records
Sukesh Adiga V education
Doctor Of Philosophy - Phd, 4.3/4.3
4.3/4.3
Ms By Research, Medical Image Processing, 8.43/10.0
Bachelor Of Engineering (Be), Electrical, Electronics And Communications Engineering
FAQ
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What company does Sukesh Adiga V work for?
Sukesh Adiga V works for Vope Medical.
What is Sukesh Adiga V's role at Vope Medical?
Sukesh Adiga V is listed as AI Research Scientist at Vope Medical.
Where is Sukesh Adiga V based?
Sukesh Adiga V is based in Montreal, Quebec, Canada while working with Vope Medical.
What companies has Sukesh Adiga V worked for?
Sukesh Adiga V has worked for Vope Medical, Mila - Quebec Artificial Intelligence Institute, École De Technologie Supérieure, Centre For Visual Information Technology (Cvit), and Iiit Hyderabad.
How can I contact Sukesh Adiga V?
You can use AeroLeads to view verified contact signals for Sukesh Adiga V at Vope Medical, including work email, phone, and LinkedIn data when available.
What schools did Sukesh Adiga V attend?
Sukesh Adiga V holds Doctor Of Philosophy - Phd, 4.3/4.3 from École De Technologie Supérieure.
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