Dr. Suganthi Srinivasan
Chennai
Summary
- Dynamic and results-driven professional with over 10 years of experience leading technical teams in algorithm design and development using perception sensors for ADAS and Autonomous vehicle systems that include object detection, semantic segmentation, soiling detection, multi sensor and multi object fusion and tracking.
- Strong and proven experience in research and development of algorithm design in health care sector for niche problem statements such as breast cancer screening using infrared and histopathology images
Overview
23
23
years of professional experience
1
1
Certification
Work History
Senior Product Technical Lead
Valeo India Private Limited
05.2024 - Current
- Led cross-functional product development teams to successfully launch multiple vision
based software products. - Managed product backlog, prioritized features, and coordinated with stakeholders to ensure
product roadmap alignment. - Designed and implemented scalable technical solutions to optimize product performance
and user experience. - Currently, involved on various vision based perception algorithms such as
- Infrared image based blockage determination
- Deep learning-based algorithms for object detection,
- semantic segmentation and
- soiling detection using multi-task networks
- Patented Dynamically Asymmetric BEV Grid Generation for Thermal Imagery
Based Perception (Filed). Patent Pending. - Patented Camera based solution for detecting the Abaya /clothes stuck in the vehicle door using Deep learning approach - Patent filing in progress.
Senior R & D Lead
Valeo India Private Limited
10.2021 - 04.2024
- Developed and implemented research projects in a fast-paced corporate environment.
- Led cross-functional teams to design, develop and launch new vision based features.
- Managed a research portfolio with a focus on innovation and market trends.
- Worked on various vision based perception algorithms such as
- Deep learning-based algorithms for emergency vehicle detection using MTL framework
- Deep learning-based algorithms for object detection, semantic segmentation and soiling detection using multi-task networks
- Pedestrian detection, 3D object detection and Soiling detection using machine learning & conventional image processing algorithm
- Patented IR-MultiNet: Infrared Imagery Based End-to-End Multi-task Learning Network For Perception Algorithms, Computer vision based on thermal imaging in a vehicle (DE102022121781A1 Granted).
- Patented Infrared Imagery and Audio Fusion Based Deep Networks For Emergency Vehicle Detection and Tracking (Patent Filed).Patent Pending.
- Patented IR-DN-ABN model: An approach to detect, classify and localize an emergency vehicle using Infrared images and stereo sound signals (Patent Filed). Patent Pending
- Patented Real-time Extremely Low Resource Environment Based Multi-Task Learning Supported Contextual Learning Guided Emergency Vehicle Detection and Tracking (Patent Filed). Patent Pending
- Patented Multi-Task Learning Supported AI Based Emergency Vehicle Detection and Tracking For Low Powered SOC (Patent Filed). Patent Pending
- Published Akshaya, V. G., et al. "Image Quality Assessment for Computer Vision Based Perception Algorithms Using Edge and Structural Features." TENCON 2023-2023 IEEE Region 10 Conference (TENCON). IEEE, 2023.
- Published Srinivasan, Suganthi, Rakesh Rajegowda, and Eshwar Udhayakumar. "Latest Advancements in Perception Algorithms for ADAS and AV Systems Using Infrared Images and Deep Learning." (2023).
Technical Lead (R & D)
Tata Elxsi Limited
05.2015 - 09.2021
- Led a team of software engineers in the development and implementation of innovative perception solutions for level 3 autonomous vehicles using multiple sensors
- Managed perception software projects from concept to delivery, ensuring timely completion and high quality
- Developed and maintained perception software architecture for level 3 autonomous vehicle system in a fast-paced environment
- Design, development, testing and validation of perception algorithms using camera, Lidar and Radar sensors for Level 3 Autonomous vehicles
- Design, development, testing and validation of Multi-sensor multi-object fusion and tracking for Level 3 Autonomous vehicles
- Technical White Papers:
- Multi-Sensor Data Fusion (2020)
Camera based On - Road Multiple Vehicle Detection and Tracking System - A Synergistic Approach towards Autonomous Driving (2016) - A Low-Level Sensor Fusion Approach for an Intelligent Perception of the Environment for ADAS/AD Applications (2020)
Senior Researcher
IIT Madras
02.2015 - 04.2015
- Extensive research knowledge on Medical Image processing on various imaging modalities such as Breast Infrared images, Brain MRI, CT Lung Images, Hep-2 cells and Breast
histopathology algorithm design, experimental setup, data collection, testing and validation - Mentored and collaborated research on medical signal processing on EEG signals and EMG signals experimental setup and data capture and processing
Post Doctoral Researcher
IIT Madras
06.2014 - 01.2015
- Conducted research on the automation of breast cancer diagnosis using Infrared images
- Published multiple research papers in peer-reviewed scientific journals and conferences
Senior Project Officer
IIT Madras
09.2013 - 04.2014
- Research and development on Infrared camera calibration techniques
- Research and development on breast cancer diagnosis using IR images
- Research work on medical devices standards
Assistant Professor(Senior Grade)
Amrita School of Engineering
06.2009 - 12.2010
- Worked as an assitant professor in the department of ECE
- Handled B.Tech. courses such as Wireless communication, adaptive signal processing
- Handled M.Tech courses such as advanced DSP
Member Technical Staff - Software
Sarayu Softech Private Limited
01.2008 - 01.2009
- Worked on Audio, speech and video codec algorithms
- Worked on Embedded C programming - CEVAX platform
- C Level optimization, Framework compliant, Assembly coding, ASM optimization Effective Parallelism, Testing, MCPS Calculation and Profiling & Porting on CEVAX processor.
Member Technical Staff - Hardware
iWave Systems
10.2007 - 12.2007
- Worked on embedded systems for iW-RainboW
Lecturer
Amrita School of Engineering
10.2002 - 07.2005
- Worked as a Lecturer in ECE department
- Mentored B.Tech. student projects
- Handled courses like Electromagnetic fields, signals and systems, tele communication and DSP
Lecturer
Muthayammal Engineering College
08.2001 - 10.2002
- Worked as a Lecturer
- Mentored B.E. Students in Projects
- Handled courses like signals and systems, DSP, Electronic devices etc.,
Education
Ph.D. - Medical Image Processing
Indian Institute of Technology Madras
07.2015
M.Tech. - Communication Systems
Indian Institute of Technology Madras
07.2007
B.E. - Electronics And Communication Engineering
University of Madras
06.2001
Skills
- Technical leadership
- Cross-functional collaboration
- Problem-solving
- Agile methodologies
- Software development
- Teamwork & Leadership
- Adaptability
- Time management
- Innovation & Creativity
- Technical Issue investigation
- Test-driven development
- Requirements gathering
Accomplishments
- Collaborated with Amrita University faculty advisors to co-guide one PhD student on thesis titled "Computer Vision Approach for Breast Cancer Analysis using Thermography and Histopathology Images" successfully defended in March 2024, providing research problem statement, technical solutions, code review, writing research articles, regular feedback and ensuring timely completion of research milestones.
- Patented System for obtaining clinical inference from Thermograms, Indian Patent application No 202441003518, filed on 18 January 2024. Patent pending.
Certification
- Deep Learning Specialization, Coursera
Languages
English
Tamil
Awards
- Received Valeo Innovation Awards for Patents filed since 2021 for consecutive three years
- Awarded with Enhanced Post-Doctoral Fellowship for Six months in appreciation of submitting Ph.D. thesis work within 3.5 years by Indian Institute of Technology Madras
- Qualified in GATE 2005
- First Rank holder in the examination conducted by University of Madras during the academic year 2000-2001 (UG)
- Secured top rank in Under graduation
Patents and Publications
- Filed patents in Indian (1) and European countries (5)
- Published 13 Journal articles in different national and international journals
- Published 12 conference articles in different national and international conferences
Timeline
Senior Product Technical Lead
Valeo India Private Limited
05.2024 - Current
Senior R & D Lead
Valeo India Private Limited
10.2021 - 04.2024
Technical Lead (R & D)
Tata Elxsi Limited
05.2015 - 09.2021
Senior Researcher
IIT Madras
02.2015 - 04.2015
Post Doctoral Researcher
IIT Madras
06.2014 - 01.2015
Senior Project Officer
IIT Madras
09.2013 - 04.2014
Assistant Professor(Senior Grade)
Amrita School of Engineering
06.2009 - 12.2010
Member Technical Staff - Software
Sarayu Softech Private Limited
01.2008 - 01.2009
Member Technical Staff - Hardware
iWave Systems
10.2007 - 12.2007
Lecturer
Amrita School of Engineering
10.2002 - 07.2005
Lecturer
Muthayammal Engineering College
08.2001 - 10.2002
M.Tech. - Communication Systems
Indian Institute of Technology Madras
- Deep Learning Specialization, Coursera
Ph.D. - Medical Image Processing
Indian Institute of Technology Madras
B.E. - Electronics And Communication Engineering
University of Madras
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