SINNU SUSAN THOMAS
April 22, 2024 2024-05-03 20:07SINNU SUSAN THOMAS
Computer Vision, Image/Video Signal Processing, Bayesian Optimization for Industrial Applications, Machine/Deep/Reinforcement Learning.
Born in the educational hub of coaching institutes in India- Kota, Rajasthan, went for schooling at St. John’s Senior Secondary School, Kota Rajasthan, received the B.E. (Hons.) degree in Electronics and Communication Engineering from Rajasthan University Jaipur and the M.Tech. Degree in Communication Engineering from the National Institute of Technology Karnataka Surathkal, advised by Sumam S. David and received a PhD in Electrical Engineering from the Indian Institute of Technology Kanpur, advised by Sumana Gupta and K. S. Venkatesh. The Ph.D. thesis was entitled “Perceptual Attributes in Video Summarization,” where the videos were summarized based on the human visual perspective.
She taught at Modi Institute of Management and Technology, Kota, Rajasthan, and Viswajyothi College of Engineering and Technology, Muvattupuzha, Kerala. Subsequently, was hosted as a Post Doctoral Research Associate by Matthew B. Blaschko at the Department of Electrical Engineering KU Leuven Belgium in collaboration with FORD Innovation and Research Centre Germany and USA. During her postdoc, she worked on designing a front suspension for Mac-Pherson Architecture. She studied the behaviour of massive stars in space using Bayesian Optimization and working as an Assistant Professor in the Department of Computer Science and Engineering at Digital University Kerala (formerly Indian Institute of Information Technology and Management Kerala) and leading Image and Vision Computing Lab alongwith Optimization and Machine Learning Lab.
- PhD
Electrical Engineering, Indian Institute of Technology Kanpur - MTech
Communication Engineering, National Institute of Technology Karnataka Surathkal - BE (Honors)
Electronics and Communication Engineering from Rajasthan University Jaipur
She taught at Modi Institute of Management and Technology, Kota, Rajasthan, and Viswajyothi College of Engineering and Technology, Muvattupuzha, Kerala. Subsequently, was hosted as a Post Doctoral Research Associate by Matthew B. Blaschko at the Department of Electrical Engineering KU Leuven Belgium in collaboration with FORD Innovation and Research Centre Germany and USA. During her postdoc, she worked on designing a front suspension for Mac-Pherson Architecture. She studied the behaviour of massive stars in space using Bayesian Optimization and working as an Assistant Professor in the Department of Computer Science and Engineering at Digital University Kerala (formerly Indian Institute of Information Technology and Management Kerala) and leading Image and Vision Computing Lab alongwith Optimization and Machine Learning Lab.
- Awards to Students
- Awards
- DAAD Post-Doc-Net AI Fellow for 2021-22.
- Finalist for Falling Wall Labs, Leuven Belgium 2019.
- Nominated for Ranjan Kumar Memorial Award 2018, IIT Kanpur.
- Best PhD Thesis Award at CICT 2018.
- Gandhian Young Technological Innovation Award 2018.
- PhD Scholarship, MHRD, Government of India, 2011
- M.Tech Scholarship, MHRD, Government of India, 2008.
- Best Student, St. Johns Senior Secondary School, Kota, Rajasthan, India 1996.
- “Deep Learning for Computer Vision”, DST SERB Accelerate Vigyan Scheme – ABHYAAS (Vritika), 2023.
- “Developing Policy Inputs for Faster Economic Recovery while Promoting Disaster Preparedness via Artificial Intelligence”, British Council Going Global Partnerships Exploratory Grants, 2021.
- “Causal Optimal Transport for Summarizing the Unpaired Videos”, DST SERB Start-up Research Grant, 2021.
- “Setting Computer Vision Lab”, Kerala State Planning Board, 2021.
- “Event related Modelling of COVID-19”, Google Cloud Platform Credits, 2020.
- “Road Accident Detection using Perceptual Attributes of Video”’, Hari-Om funded project, 2018-2019.
- Video Summarization for Unpaired Videos, Tutorial presented at International Conference on Computer Analysis of Images and Patterns (CAIP 2021), Nicosia, Cyprus, Sep 2021.
- Design Solutions using Bayesian Optimization, Tutorial presented at The International Joint Conference on Neural Networks (IJCNN 2021), Shenzhen, China, 23 Jul 2021.
- Bayesian Optimization, Tutorial presented at IEEE International Conference on Development and Learningand Epigenetics Robotics (ICDL 2020), Valparaíso, Chile, Oct 2020.
- Bayesian Optimization, Tutorial presented at International Conference on Computing and Network Communications(CoCoNet’19), Kerala, India, Dec 2019.
- Deep Learning (DUK)
- Optimization Techniques (DUK)
- Mathematics for Computer Science (IIITMK, DUK)
- Deep Learning & Reinforcement Learning (DUK)
- Computer Vision (IIITMK, DUK)
- Computer Architecture (DUK)
- Pattern Recognition (IIITMK)
- Digital Image Processing (KTU)
- Digital Signal Processing (MGU)
- Signals and Systems (IITK, MGU)
- Circuit Theory (MGU)
- Digital Electronics (MGU, RTU)
- Introduction to Electronics Engineering (MGU, RTU)
- Electronics Engineering Labs (MGU, RTU)
- Communication Engineering Labs (MGU, RTU)
- E. F. Arruda; R. e A. Alexandre; M. D. Fragoso; João B. R. do val; S. S. Thomas, “A Novel Queue-based Stochastic Epidemic Model with Adaptive Stabilising Control,” in ISA Transactions, vol. 140, pp. 121-133, Sep 2023.
- S. S. Thomas; G. Lamine; J. Palandri; M. Lakehal-ayat; P. Chakravarty; F. Wolf-Monheim; M. B. Blaschko, “ Mitigating Bias in Bayesian Optimized Data while Designing MacPherson Suspension Architecture,” in IEEE Transactions on Artificial Intelligence, May 2023. [Code available on request]
- R. Badarinath; B. K. Raju; M. Anshad K; V. Prabhu; S. S. Thomas, “Real-time Vision Sensor for Volumetric Flowrate Estimation in Robotic Fused Filament Fabrication,” in IFAC World Congress, Yokohawa, Japan, Jul 9-14, 2023. [Code]
- S. S. Thomas; J. Palandri; M. Lakehal-ayat; P. Chakravarty; F. Wolf-Monheim; M. B. Blaschko, “ Kinematics Design of a MacPherson Suspension Architecture based on Bayesian Optimization,” in IEEE Transactions on Cybernetics, vol. 53, no. 4, pp. 2261-2274, Apr 2023. [Code available on request]
- E. F. Arruda; T. Sharma; R. e A. Alexandre; S. S. Thomas, “ Epidemic Control Modeling using Parsimonious Models and Markov Decision Processes,” in arXiv:2206.13910, 2022.[Code]
- R. Giriraj; S. S. Thomas, “ Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions,” in arXiv:2106.01043, 2021. [Code]
- V. Kumar; S. S. Thomas, “ Make Bipedal Robots Learn How to Imitate,” in arXiv:2105.07193, 2021.[Code]
- T. Xu; S. S. Thomas, “ Unpaired Video Summarization using COT-GAN,” in CVPR Workshops, 2021.
- M. A. Solis; S. S. Thomas, “ Generalized State-Feedback Controller Synthesis for Underactuated Systems through Bayesian Optimization,” in arXiv:2103.17158, 2021. [Code]
- E. F. Arruda; R. e A. Alexandre; M. D. Fragoso; João B. R. do val; S. S. Thomas, “A Novel Stochastic Epidemic Model with Application to COVID-19,” in arXiv:2102.08213, 2021.
- S. Mukherjee; S. S. Thomas, “Deep Unfolding Approaches for Sparse Dictionary Learning in Video Summarization,” NeurIPS Workshops, Vancouver, Canada, Dec 6-12, 2020.
- O. T. James; S. S. Thomas, “ Bayesian Optimized Event Based Epidemic Modeling in India,” in arXiv:2010.01280, 2020.
- A. M. Paul; S. S. Thomas, “Multifaceted COVID-19 Outbreak,” in arXiv:2008.12127, 2020.
- S. S. Thomas; J. Palandri; M. Lakehal-ayat; P. Chakravarty; F. Wolf-Monheim;M. B. Blaschko,“Designing MacPherson Suspension Architectures using Bayesian Optimization,” BENELEARN, Brussels, Belgium, Nov 6-8, 2019.
- S. S. Thomas; S. Gupta; Venkatesh K. S., “Context Driven Optimized Perceptual Video Summarization and Retrieval,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 10, pp. 3132-3145, Oct 2019.
- S. S. Thomas,“Perceptual Attributes in Video Summarization,” in UPCON , Gorakhpur, India, Nov 2-4, 2018.
- S. S. Thomas,“Video Summarization,” in CICT, Jabalpur, India, Oct 26-28, 2018.
- S. S. Thomas; S. Gupta; Venkatesh K. S., “Event Detection on Roads Using Perceptual Video Summarization,” in IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 9, pp. 2944-2954, Sep 2018.
- S. S. Thomas; S. Gupta; Venkatesh K. S., “Perceptual Video Summarization – a New Framework for Video Summarization,” in ISCAS, Florence, Italy, May 27-30 2018.
- S. S. Thomas; S. Gupta; Venkatesh K. S., “Perceptual Video Summarization – a New Framework for Video Summarization,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 8, pp. 1790-1802, Aug 2017.
- H. Kumar, S. Bhattacharya, S. S. Thomas; S. Gupta; Venkatesh K. S., “Design of Smart Video Surveillance System for Indoor and Outdoor Scenes,” in DSP, London, August 23-25 2017.
- S. S. Thomas; S. Gupta; Venkatesh K. S., “Smart Surveillance Based on Video Summarization,” TENSYMP, Cochin, July 14-16 2017.
- S. S. Thomas; S. Gupta; Venkatesh K. S., “Perceptual Synoptic View based Video Retrieval Using Metadata,” Signal, Image and Video Processing, vol. 11, pp. 549-555, Mar 2017.
- S. S. Thomas; S. Gupta; Venkatesh K. S., “Perceptual Synoptic View of Pixel, Object and Semantic Based Attributes of Video,” Journal of Visual Communication and Image Representation, vol. 38, pp. 367-377, Jul 2016.
- S. S. Thomas; S. Gupta; Venkatesh K. S., “An Energy Minimization Approach for Automatic Video Shot and Scene Boundary Detection,” in IIHMSP, Kitakyushu, Japan, August 27-29 2014, pp. 297-300.
- S. S. Thomas; S. Gupta; Venkatesh K. S., “Non User Interaction Content Summarization,” in DSP, Hong Kong, August 20-23 2014, pp. 286-290.
- S. S. Thomas; S. Gupta; Venkatesh K. S., “AUTOENSUM: Automated Enhanced Summary for Multiple Interacting Objects,” in ICME Workshops, Chengdu, China, July 14-18 2014, pp. 1-6.
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