Dr. Shiv Ram Dubey

Department:

Department of Information Technology

Current Designation:

Assistant Professor

Educational Qualification:

Personal Website:

Mobile:

+91-532-292-2211

Email:

srdubey[at]iiita[dot]ac[dot]in

Office Address:

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Computer Vision, Deep Learning, Image Processing, Biometrics, Medical Imaging, Convolutional Neural Networks, Image Feature Description, Content Based Image Retrieval, Image-to-Image Transformation, Face Detection and Recognition, Facial Expression Recognition, Texture and Hyperspectral Image Analysis

Development of Deep Learning based CCTV Footage Super-resolution for Human Subject Recognition for Defence Applications
Funding Agency: I-DAPT HUB FOUNDATION, Indian Institute of Technology (BHU) Varanasi
Role: Principal Investigator (PI)
Duration: 2023–2025 (2 Years)
Development of Deep Learning based Hashing Techniques for Image Retrieval
Funding Agency: Global Innovation and Technology Alliance (GITA) on behalf of DST (India) and MOST (Taiwan) under India-Taiwan Joint Research Program
Role: Principal Investigator (PI)
Duration: 2020–2023 (3 Years)
EMGNet: Development of Deep Learning Based Model for Hand Movements Classification using Surface EMG Signals
Funding Agency: Science and Engineering Research Board (SERB), Govt. of India (Core Research Grant)
Role: Co-Principal Investigator (Co-PI)
Duration: 2020–2022 (2.5 Years)
Computer Vision Algorithm for Transformation of Night Time Images to Corresponding Day Time Images
Funding Agency: DRDO Young Scientist Lab Artificial Intelligence (DYSL-AI), Bangalore
Role: Principal Investigator (PI)
Duration: 2020–2021 (1 Year)
Development of Image Retrieval Methods for Biomedical and Health Informatics
Funding Agency: Science and Engineering Research Board (SERB), Govt. of India (Early Career Research Scheme)
Role: Principal Investigator (PI)
Duration: 2017–2020 (3 Years)
Development of Robust Image Descriptors for Face Retrieval
Funding Agency: IIIT Sri City, Chittoor, India (Startup Research Grant)
Role: Principal Investigator (PI)
Duration: 2016–2019 (3 Years)