Developing a vertical Large Multimodal Model (LMM) and AI agents specifically tailored for the art market, combining technical expertise with commercial vision.
Technical Leadership
Santosh is leading technical strategy and product development, while his co-founder handles commercial development, creating a balanced leadership approach.
Secured €500K Funding from Enterprise Ireland
This significant funding supports product development and incubation at the ADAPT Centre in Trinity College Dublin, driving our innovative AI solutions forward.
Major Achievements & Recognition
Commercialisation Fund (June 2025)
Secured €500,000 in funding from Enterprise Ireland to support product development at BigLook, currently incubated at ADAPT Centre in Trinity College Dublin.
Seed Fund Grant (April 2022)
Secured a grant of Rs. 800,000 from the Startup India Seed Fund Scheme to develop an AI-guided personal Yoga assistance platform at Cognix.
Research Technology Innovation (June 2021)
Received $38,000 from LiveSmart Co. Ltd., Tokyo, Japan, to deliver an edge computing system for activity recognition and fall prediction.
TensorFlow Dev Summit 2020 (February 2020)
Selected as one of only 1,000 AI practitioners worldwide to attend this prestigious event at the Google Event Center in Sunnyvale, California.
CSIR - NET/JRF Examination (June 2015)
Secured All India Rank 107 among 300,000 students in Engineering Sciences.
Published in Computer Vision and Image Understanding, Elsevier. Impact Factor: 4.095
Under Review: Multimodal Activity Recognition
"A Novel Two Stream Decision Level Fusion of Vision and Inertial Sensors Data for Automatic Multimodal Human Activity Recognition System" - Under review at Computer Vision and Image Understanding, Elsevier (IF: 4.886)
Yoga Pose Recognition
"An Efficient Deep Convolutional Neural Network Model For Yoga Pose Recognition Using Single Images" - Under review at Computer Vision and Image Understanding, Elsevier (IF: 4.886)
Light Invariant Action Recognition
"LIFT-Net: Dual Stream Fourier Attention For Light Invariant Action Recognition" - Under review at IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 24.314)
Scene Text Understanding
"CoFormer: Convolutional Fourier Transformer for Scene Text Understanding" - Under review at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada (h5-index: 389)
Conference Publications
IEEE WCCI 2022: WTM
"WTM: Weighted Temporal Attention Module for Group Activity Recognition"
Presented at the International Joint Conference on Neural Networks (IJCNN), IEEE World Congress on Computational Intelligence (IEEE WCCI), Padua, Italy, 2022.
IEEE WCCI 2022: TBAC
"TBAC: Transformers Based Attention Consensus for Human Activity Recognition"
Presented at the International Joint Conference on Neural Networks (IJCNN), IEEE World Congress on Computational Intelligence (IEEE WCCI), Padua, Italy, 2022.
IEEE WCCI 2022: MS-KARD
"MS-KARD: A Benchmark for Multimodal Karate Action Recognition"
Presented at the International Joint Conference on Neural Networks (IJCNN), IEEE World Congress on Computational Intelligence (IEEE WCCI), Padua, Italy, 2022.
IEEE WCCI 2022: YogaTube
"YogaTube: A Video Benchmark for Yoga Action Recognition"
Presented at the International Joint Conference on Neural Networks (IJCNN), IEEE World Congress on Computational Intelligence (IEEE WCCI), Padua, Italy, 2022.
IEEE ICCE 2023: SWTF
"SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition"
Presented at IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, 2023.
ICCV Workshop 2021: Eformer
"Eformer: Edge Enhancement based Transformer for Medical Image Denoising"
Presented at the International Conference on Computer Vision (ICCV) Workshop, 2021.
IEEE ICASSP 2023: SLBERT
"SLBERT: A Novel Pre-training Framework for Joint Speech and Language Modeling"
Presented at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Greece, 2023.
Previous Experiences
Senior Data Scientist at WiSAR Labs, ATU Donegal, Ireland
At Data2Sustain (European Digital Innovation Hub) in ATU, Ireland (January 2024 - August 2025), Dr. Yadav designed and implemented scalable AI solutions for startups, handling the complete AI development lifecycle:
Data modeling and pipeline development
API creation and integration
ML model testing and deployment
Technical reporting and documentation
Key Projects Led:
3D Scanning Project
For automated BER assessment
€78,000
Image Processing
Advanced AI-driven solution
€75,000
AI Research Scientist at CeADAR, Dublin, Ireland
During his tenure at CEADAR (Ireland's Centre for Applied AI) in Dublin from March to December 2023, Dr. Yadav developed an automated fruit package detection system for Keeling's using advanced computer vision techniques. His contributions included:
Data Modeling
Created robust data models to handle diverse fruit package types and conditions.
Pipeline Development
Built efficient data processing pipelines for real-time analysis.
API Creation
Developed interfaces for seamless integration with existing systems.
Solution Deployment
Successfully implemented the system in production environments.
Co-Founder & CEO at Cognix, India
From May 2022 to March 2023, Dr. Yadav co-founded and led Cognix in Hyderabad, India, developing an AI-guided personal assistance platform.
Team Leadership
Managed and inspired a diverse team, fostering a collaborative and high-performance environment.
Strategic Planning
Defined the company's vision and long-term strategy, navigating market trends and competitive landscapes.
Product Development Oversight
Supervised the end-to-end development of the AI-guided personal assistance platform.
Investor Relations & Funding
Successfully engaged with investors and secured critical funding for the startup's growth and operations.
Secured a grant under the Startup India Seed Fund Scheme.
The company was incubated at BITS Pilani.
Rs. 800,000
Postdoctoral Scientist at University of Galway, Ireland
As a Postdoctoral Scientist at the National University of Ireland (NUI) in Galway (August 2021 - March 2023), Dr. Yadav pioneered AI solutions specifically tailored for children's technology.
Low-Cost, Low-Power Design
Developed an AI platform optimized for affordability and energy efficiency.
Multimodal AI Integration
Seamlessly integrated advanced sound and vision capabilities for interactiveness.
Voice-Enabled Toy Applications
Designed the platform for SoapBox Labs, powering sophisticated voice recognition.
AI/ML Internship at Xperi Corporation, Ireland
During his internship at Xperi Corporation in Galway from August 2021 to March 2023, Dr. Yadav worked on cutting-edge 3D modeling technologies that have applications across gaming, entertainment, and virtual reality industries.
3D Human Body Modeling
Developed advanced techniques for capturing accurate and realistic 3D human body scans.
Synthetic Humans
Created realistic human virtual avatars for various applications in virtual environments.
Project Lead at LiveSmart in Tokyo, Japan
From November 2020 to July 2021, Dr. Yadav served as a project lead and consultant at LiveSmart in Tokyo, Japan, focusing on innovative AI solutions for health monitoring.
Edge Computing for Health Monitoring
As Project Lead and Consultant, Dr. Yadav deployed an edge computing-based, privacy-preserving system for activity recognition and fall prediction. This innovative system helped monitor vulnerable individuals while maintaining their privacy and dignity.
Neurodegenerative Disease Detection
Additionally, he supported the LiveSmart team in developing gait recognition systems to identify walking patterns and balance scoring algorithms using computer vision for early detection of neurodegenerative disease symptoms and progress tracking for physical therapy.
Project Funding
Received to deliver an edge computing system for activity recognition and fall prediction.
$38,000
Research Fellow at CSIR-CEERI, Pilani, India
At CSIR–Central Electronics Engineering Research Institute (CEERI) in Pilani, Rajasthan, India, Dr. Yadav progressed from Junior to Senior Research Fellow, developing expertise in human activity recognition across multiple modalities and applications.
1
Junior Research Fellow (March 2017 - Aug 2019)
Focused on unobtrusive multimodal human activity recognition, including yoga asana recognition and correction, and recognizing activities of daily living.
2
Senior Research Fellow (Aug 2019 - Aug 2021)
Expanded research to diverse applications including karate action recognition, group activity recognition, video transformers, drone cameras, and WiFi-based activity recognition.
Educational Background
1
Ph.D. in Engineering Sciences (Computer Science)
Academy of Scientific and Innovative Research (AcSIR), India August 2016 - August 2021
Thesis: Unobtrusive Multimodal Human Activity Recognition
2
Bachelor of Technology (B.Tech)
University Institute of Engineering and Technology, Kanpur, India July 2011 - June 2015
Major: Computer Science and Engineering (CSE)
Connect With Dr. Santosh Yadav
Professional Profiles & Affiliations
Personal Website: Explore Dr. Yadav's comprehensive research portfolio, projects, and latest updates on his cutting-edge AI and computer vision work.
LinkedIn Profile: Connect with Dr. Yadav for professional networking, industry insights, and updates on his contributions to applied AI.
Google Scholar: Access his full list of peer-reviewed academic publications and detailed citation metrics across various high-impact journals and conferences.
ResearchGate: Discover his ongoing research activities and preprints, and engage in collaborative projects with the global scientific community.
ORCID: A persistent digital identifier ensuring accurate attribution of his extensive research contributions.
Scopus: Detailed publication and citation data for his works indexed in the Scopus database.
NUI-Galway Profile: Information from his impactful tenure as a postdoctoral scientist at the University of Galway.
WiSAR Labs Profile: Insights into his applied research at the WiSAR Applied AI Centre, focusing on industrial applications of AI.
CSIR-CEERI Profile: Details on his early research contributions and foundational work in electronics and instrumentation.
BITS Pilani: Overview of his doctoral research and contributions during his PhD studies at BITS Pilani.
Interview: Life Journey: A personal perspective on his career trajectory and innovative work in the field of AI.
Contact Information
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