Sudip Das Email and Phone Number
I am deeply immersed in the realm of theoretical statistics, with a particular emphasis on unraveling the intricate mechanisms behind how the human brain comprehends visual scenes. Under the esteemed guidance of Associate Prof. Dr. Ujjwal Bhattacharya from the Indian Statistical Institute, I am privileged to delve into this captivating domain.In my professional journey, I have embarked on a role within the DSW product line of the CDA product group and a member of AI & Perception Team at Valeo in India . One of the key aspects of my role is to bridge the gap between research and production, ensuring that the latest developments in machine learning are effectively implemented in real-world applications.During my tenure at the Indian Statistical Institute, I have had the privilege of contributing to multiple noteworthy publications in esteemed conferences and journals. My research endeavors primarily revolve around crafting sophisticated algorithms for machine learning, with a laser focus on the intricate task of detecting and recognizing activities within images or videos. Specifically, my efforts are concentrated on tackling pertinent challenges such as Unsupervised Learning, Curriculum Learning, Transfer Learning, and Domain Adaptation.However, beyond the technical intricacies lies a profound passion for delving into the realm of Visual Scene Understanding (VSU). I am deeply fascinated by the opportunity to apply machine learning methodologies to decipher how the human brain perceives and comprehends visual stimuli. This interdisciplinary pursuit not only fuels technological advancement but also enriches our understanding of the complex workings of cognition.•Specialties: Research targeted topics, project design and management, code completion, performance evaluation and tuning, writing scientific papers.•Abilities: Excellent problem solving, Abstract thinking, Quick learning ability, and Building research team.Additionally, In various research projects, I maintain strong collaboration with academia and parallelly leading a group of Computer Vision at Indian Statistical Institute, Kolkata. I jointly supervised students with Prof. Ujjwal Bhattacharya, Indian Statistical Institute, kolkata in the area of Computer Vision and Deep Learning. We are always looking for self motivated students to join our Vision Group.
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Lead Research EngineerValeo Nov 2024 - PresentChennai, Tamil Nadu, IndiaI help Valeo in achieving their goals in computer vision and deep learning by bridging the gap between business objectives and research needs. My focus is on developing deep learning-based algorithms for the features of automotive parking and driving perceptions. As part of a multidisciplinary research team, I tackle some of the most pressing challenges in autonomous driving. I identify key areas for specialization, set clear goals, develop strategic plans, and oversee their execution. -
Senior Research EngineerValeo Mar 2023 - Nov 2024Chennai, Tamil Nadu, IndiaI joined DSW product line of Comfort and Driving Assistant(CDA) product group, and a member of AI & Perception Team at Valeo in India. My role revolves around assimilating cutting-edge technology into our operations to ignite the software product line. One of the key aspects of my role is to bridge the gap between research and production, ensuring that the latest developments in machine learning are effectively implemented in real-world applications. This involves collaborating closely with… Show more I joined DSW product line of Comfort and Driving Assistant(CDA) product group, and a member of AI & Perception Team at Valeo in India. My role revolves around assimilating cutting-edge technology into our operations to ignite the software product line. One of the key aspects of my role is to bridge the gap between research and production, ensuring that the latest developments in machine learning are effectively implemented in real-world applications. This involves collaborating closely with both researchers and engineers across the different group of Valeo over all to translate theoretical advancements into practical solutions.Within my research focus, I concentrate on developing algorithms for machine learning that can accurately detect and recognize objects in images or videos. This encompasses a range of challenges, including unsupervised learning, curriculum learning, transfer learning, and domain adaptation, all of which are critical for advancing the capabilities of ADAS technology. By addressing these challenges, I aim to contribute to the ongoing evolution of ADAS systems, ultimately enhancing safety, convenience, and overall driving experience for consumers. My work at Valeo allows me to be at the forefront of innovation in the automotive industry, driving forward the development of next-generation technologies. Show less -
MemberBritish Machine Vision Association Andsociety For Pattern Recognition Nov 2024 - Present -
MemberIeee Signal Processing Society Jul 2023 - Present -
Lead Research EngineerHcl Engineering And R&D Services Feb 2021 - Apr 2023Chennai, Tamil Nadu, IndiaMy principal research focuses on Document Image Analysis and OCR. Generally speaking, I am passionate to work on extracting the foreground and reconstructing the broken characters from Degraded Document Images for the purpose of making the recognition task better. Additionally, I am working on 'retrieval of textual information' from images, also called as OCR, which represents a process of conversion of electronic images containing typed, printed, painted or hand written into machine encoded… Show more My principal research focuses on Document Image Analysis and OCR. Generally speaking, I am passionate to work on extracting the foreground and reconstructing the broken characters from Degraded Document Images for the purpose of making the recognition task better. Additionally, I am working on 'retrieval of textual information' from images, also called as OCR, which represents a process of conversion of electronic images containing typed, printed, painted or hand written into machine encoded text, specifically to build a scalable OCR with minimal supervision. Show less
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Data ScientistAviso Ai May 2020 - Feb 2021Redwood City, California, United States -
Visiting ScholarKaust (King Abdullah University Of Science And Technology) May 2020 - Jun 2020Jeddah, Makkah, Saudi ArabiaWorked on Continual Learning -
ResearcherIndian Statistical Instiute, Kolkata Aug 2017 - May 2020Kolkata Area, IndiaCurrently, I am working at CVPR(Computer Vision and Pattern Recognition) Unit of Indian Statistical Institute, Kolkata on Machine/Statistical/Deep Learning to detect & recognize objects from Images. Area of my preferences include Scene Image Understanding, Unsupervised Adversarial Learning, Domain Adaptation and Transfer Learning. During my tenure, I have published multiple papers in the top conferences. I have supervised lots of undergraduate and post graduate students in the domain of Deep… Show more Currently, I am working at CVPR(Computer Vision and Pattern Recognition) Unit of Indian Statistical Institute, Kolkata on Machine/Statistical/Deep Learning to detect & recognize objects from Images. Area of my preferences include Scene Image Understanding, Unsupervised Adversarial Learning, Domain Adaptation and Transfer Learning. During my tenure, I have published multiple papers in the top conferences. I have supervised lots of undergraduate and post graduate students in the domain of Deep Learning and Computer Vison domain during my stay at ISI. Show less -
Research InternIndian Statistical Instiute, Kolkata Feb 2017 - Aug 2017Kolkata Area, IndiaROCRDD: Developed an improved OCR system for degraded Bangla document images. Various modules of this OCR system include (1) an effective preprocessing operation based on a modified Markov Random Field performing (i) foreground text extraction from noisy background, and (ii) enhancing faint parts of degraded texts/characters that would otherwise be wrongly recognized due to their ’broken’ nature in the intervening foreground segmented image, (2) a new encoder-decoder based deep architecture… Show more ROCRDD: Developed an improved OCR system for degraded Bangla document images. Various modules of this OCR system include (1) an effective preprocessing operation based on a modified Markov Random Field performing (i) foreground text extraction from noisy background, and (ii) enhancing faint parts of degraded texts/characters that would otherwise be wrongly recognized due to their ’broken’ nature in the intervening foreground segmented image, (2) a new encoder-decoder based deep architecture consisting of either a multitask learning or a transfer learning scheme. Show less
Sudip Das Education Details
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Birati High SchoolHigh School
Frequently Asked Questions about Sudip Das
What company does Sudip Das work for?
Sudip Das works for Valeo
What is Sudip Das's role at the current company?
Sudip Das's current role is Lead Research Engineer at Valeo Brain | DSW India | AI & Perception Team | Research | Theoretical Statistics | Innovation | Member of Signal Processing Society | Member of British Machine Vision Association.
What schools did Sudip Das attend?
Sudip Das attended Maulana Abul Kalam Azad University Of Technology, West Bengal Formerly Wbut, Birati High School.
Who are Sudip Das's colleagues?
Sudip Das's colleagues are Norsabihah Adnan, Jérémie Sauvé, Ronald Nascimento Silva, Marta Grzechacka, Abraham Perez Jimenez, Mary Halion, Fabrizio Saccato.
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