Tushar Sandhan

Associate Consultant

Kanpur, Uttar Pradesh, India11 yrs 3 mos experience

Highly Stable

Key Highlights

Expert in AI and Computer Vision technologies.
Led development of biometric systems for smartphones.
Currently teaching and researching at IIT Kanpur.

Stackforce AI infers this person is a specialist in Consumer Electronics with a focus on AI and Computer Vision.

Contact

Skills

Core Skills

Computer VisionMachine LearningDeep LearningBiometric Algorithms

Other Skills

RoboticsVideo ProcessingImage ProcessingImage AnalysisProgramming

About

I have worked in the industry as a research engineer and have experience in R&D of AI and Computer Vision products ('Intelligent Scan' in Samsung Galaxy Note 9, fingerprint and face recognition in smart phones, and smart image gallery applications). Currently I am doing research and teaching in Electrical Engineering department at Indian Institute of Technology Kanpur.

Experience

11 yrs 3 mos

Total Experience

7 yrs

Average Tenure

4 yrs 3 mos

Current Experience

Indian institute of technology, kanpur

2 roles

Associate Professor

Promoted

Jul 2025 – Present · 9 mos

Assistant Professor

Jan 2022 – Present · 4 yrs 3 mos

Research areas: Computer Vision, Machine Learning and Robotics

Computer VisionMachine LearningRobotics

Samsung electronics

2 roles

Senior Engineer (Advanced research lab, Multimedia R&D group)

Jan 2018 – Jan 2021 · 3 yrs · South Korea

Designed a method for significant activity detection from the videos; and thereby enhanced the deep learning/ML model performance for smart phones and portable devices.
Worked on quick detection of night-shot images, distinguishing them from shadow images, blur detection and de-blurring on smart phones

Deep LearningMachine LearningVideo Processing

Engineer (Biometric algorithm team, Multimedia R&D group)

Jan 2014 – Jan 2018 · 4 yrs · South Korea

Developed and programmed hierarchical CNN models for high-speed reliable liveness detection over face-iris combined biometric data (Intelligent Scan product of Samsung Galaxy Note 9)
Developed methods for radar and miniature wifi image analysis for face liveness detection, fingerprint anti-spoofing and image analysis of under-display sensors in smart phones
Contributed in R&D for auto-image enhancement, gallery image categorization and stable GIF creation via temporal content analysis

Biometric AlgorithmsImage AnalysisDeep Learning