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Muhammad suhaib

@muhammadsuhaib

I build deep learning systems that extract accessible structured information from charts, document images, and currency.

India

Message

What I'm looking for

I'm seeking a postdoctoral research opportunity in computer science where I can advance accessible, interpretable deep learning systems for document images, charts, infographics, and visual information extraction.

I build end-to-end deep learning systems for document image analysis, chart understanding, and Indian currency recognition, with a focus on converting non-textual visual information into structured representations.

At IIT Ropar, I designed frameworks for currency recognition under occlusion, rotation, illumination variation, and wear-and-tear, alongside chart classification and data extraction pipelines for pie charts and infographics.

My research supports accessibility for blind and visually impaired users through machine-interpretable visual information. I contributed to C3E, PiExtract, ICDRF, and IPCRF, and led the IPSA Lab team to win the ICDAR 2023 competition on harvesting answers and raw tables from infographics.

I also teach as an Assistant Professor at the University of Petroleum & Energy Studies and bring prior research experience in SDN, fog computing, latency-aware routing, resource allocation, and task offloading.

Experience

Work history, roles, and key accomplishments

Current

Assistant Professor in School of Computer Science

Current

University of Petroleum & Energy Studies, Dehradun

Oct 2025 - Present (11 months)

Teaching computer science courses and conducting research in document image analysis and deep learning.

Teaching Computer Science Deep Learning Document Analysis

PhD Research Scholar

Indian Institute of Technology (IIT) Ropar

Jan 2020 - Jan 2025 (5 years)

Designed end-to-end deep learning frameworks for Indian currency denomination recognition and chart understanding. Led accessibility-focused research for blind and visually impaired users.

Deep Learning Computer Vision Document Analysis Chart Analysis Currency Recognition PyTorch TensorFlow OpenCV

M.Tech Research Scholar

National Institute of Technology (NIT) Srinagar

Investigated integration of Software Defined Networking (SDN) with fog computing architectures. Designed latency-aware routing and resource allocation mechanisms.

Software Defined Networking Fog Computing Latency Based Routing Resource Allocation Task Offloading

Education

Degrees, certifications, and relevant coursework

National Institute of Technology Srinagar

M.Tech, Communication and Information Technology

Grade: 7.46

M.Tech in Communication and Information Technology with a thesis focus on Software Defined Networking (SDN) for fog computing with latency-aware routing and resource optimization.

Indian Institute of Technology Ropar

Ph.D., Computer Science and Engineering

2020 - 2025

Ph.D. in Computer Science and Engineering with a thesis focus on document image analysis, chart understanding, non-textual visual element recognition, Indian currency denomination recognition, deep learning, and computer vision.