
Deepak Kukreja
Project Assistant

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About me
Ph.D Scholar at Indian Institute Of Information Technology Allahabad
Education

Rishikul Vidyapeeth Sonipat
2009 - 2011Non medical ScienceSenior Secondary

Indian Institute Of Information Technology Allahabad
2024 - 2029Doctor of Philosophy - PhD Information Technology
Kurukshetra University
2014 - 2016Master's degree Electronic Science
Sri Aurobindo College
2011 - 2014Bachelor’s Degree Electronics Science (Hons) FirstB.SC. (Hons.) Electronic Science
Experience

CSIR-CEERI
Feb 2018 - Jul 2018Project Assistant
CSIR-CEERI
Sept 2018 - Mar 2020Project AssistantMonitoring and management of kubernetes cluster of 5 petaflops (NVIDIA DGX-I) Supercomputing facilities, for prototyping in the fields of Image & Video Analytics, Natural Language Processing and Security etc.

Indian Institute Of Information Technology Allahabad
Jan 2021 - nowLow resolution face recognition on resource-constrained devices is a project that aims to develop a system capable of recognising faces even when the images are of low resolution and captured on devices with limited processing power and memory.The goal of the project is to overcome the challenges of recognizing faces from low-quality images that are often captured in real-world scenarios, such as security cameras, webcams, or even low-end smartphones. Resource-constrained devices, such as embedded systems and IoT devices, often have limited computational power, storage, and battery life, making it challenging to perform complex tasks such as face recognition.The project would involve developing an algorithm or a model that can accurately identify faces from low-quality images and run efficiently on resource-constrained devices. This would require using techniques such as deep learning, image processing, and computer vision to extract features from the low-resolution images and match them against a pre-trained face database.The project would also require optimizing the algorithm for low-power devices by reducing the computational and memory requirements while maintaining accuracy. This could involve using techniques such as pruning, quantization, and compression to reduce the size and complexity of the model.Overall, the low resolution face recognition on resource-constrained devices project is an exciting and challenging area of research that has significant real-world applications in fields such as security, surveillance, and bio-metrics. Show less
Ph.D Scholar
Jan 2024 - nowJunior Research Fellow
Aug 2023 - nowJunior Research Fellow
Jan 2021 - now
Licenses & Certifications
- View certificate

Experience letter
CSIR-CEERIJul 2020 - View certificate

Experience Letter
Indian Institute Of Information Technology AllahabadSept 2023 - View certificate

Experience letter
CSIR-CEERIFeb 2018 - View certificate

Domain Specific Accelerators
Indian Institute of Technology, GuwahatiJul 2021
Languages
- enEnglish
- hiHindi
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