Zahir Khan
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Scholar at IITB & Monash University | Project JRF at MIU, ISI Kolkata | MTech in Computing & Mathematics, IIT PKD | 3D Reconstruction from Projection Images (Cryo-EM) | Machine Learning
I am a Joint PhD Scholar at IIT Bombay (C-MInDS) and Monash University (ECSE), with specialization in 3D image reconstruction from projection images (Cryo-EM) and Artificial Intelligence for healthcare applications. With a strong foundation in Computing and Mathematics (MTech, IIT Palakkad) and Pure Mathematics (Visva Bharati University), my research bridges advanced image processing, biomedical signal processing, and AI/ML. Previously, I served as a Project JRF at the Machine Intelligence Unit, ISI Kolkata, where I worked on AI-driven frameworks for affordable diabetic retinopathy detection and prediction. My earlier work also includes Photoplethysmography (PPG) signal quality assessment using graph-based features and Graph Neural Networks. I enjoy working at the intersection of mathematics, AI, and healthcare to create solutions that are both scientifically rigorous and practically relevant. Contact me through these email IDs: khanzahiredu@gmail.com, zahir.khan@iitb.ac.in, zahir.khan@monash.edu
Indian Institute of Technology, Bombay
Doctor of Philosophy - PhD, 3D Reconstruction (Cryo-EM) Computer Vision Machine Learning
July 1, 2025 – July 1, 2029
Monash University
Doctor of Philosophy - PhD
July 1, 2025 – July 1, 2029
Indian Institute of Technology, Palakkad
Master of Technology - MTech, Computing & Mathematics (Dept of CSE)
August 1, 2022 – May 1, 2024
Visva Bharati, Shantiniketan
Master's degree, Mathematics
January 1, 2020 – August 1, 2022
Bankura Christian College
Bachelor's degree, Mathematics
August 1, 2017 – August 1, 2020
Bishnupur High School
Higher Secondary(10+2) (WBCHSE) , Science (PCM & CA)
June 1, 2015 – March 1, 2017
Bishnupur High School
Secondary (WBBSE)
March 1, 2015 – Present
Indian Statistical Institute, Kolkata
Project Linked Person (JRF)
August 1, 2024 – July 1, 2025
Kolkata, West Bengal, India · On-site
Raisoni Group of Institutions
Assistant Professor at School of Science and Engineering
June 1, 2024 – July 1, 2024
Pune, Maharashtra, India · On-site
Indian Institute of Technology, Palakkad
Teaching Assistant
February 1, 2023 – May 1, 2024
Chegg India
Q&A expert Mathematics
December 1, 2020 – July 1, 2022
Artificial Intelligence for Affordable Screening and Prediction of Diabetic Retinopathy in the Framework of Big Data.
August 1, 2024 – July 1, 2025
Skills: Deep Learning · Python (Programming Language) · Data Annotation
Biomedical Signal Quality Assessment Using Machine Learning Classifiers On Graph Features and Graph Neural Networks.
August 1, 2023 – May 1, 2024
In Phase 1 (Aug 23 – Dec 23) of this project, we proposed a variant of the Horizontal Visibility Graph algorithm and utilized its graph features for the classification of noisy and clean PPG signals using ML classifiers. The proposed Horizontal Visibility Graph algorithm outperformed the old one significantly in terms of accuracy. Phase 2 (Jan 24 – May 24) of this project was focused on deep learning, specifically utilizing Graph Neural Networks for the classification of PPG and EEG signals.
The Moore-Penrose Generalized Inverse for Sums of Matrices
March 1, 2022 – July 1, 2022
It was the M.Sc thesis project under the supervision of Dr. Anjan Kumar Bhuniya ( faculty of Dept of Mathematics, Visva Bharati University) on the proof of Fill-Fishkind formula and brief discussion on application of it on parallel sum of matrices.
ECAI-24 Conference Attendance Certificate
EasyChair
June 23, 2026 – Present
Social Network Analysis
NPTEL
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, which aligns well with roles requiring deep theoretical understanding and innovation. The diversity of projects, from medical applications to graph neural networks, shows a broad interest within ML. The pursuit of multiple PhDs indicates a strong drive for continuous learning and intellectual curiosity, which can be a good cultural fit for research-intensive organizations. However, the lack of industry experience might require adaptation to a more product-focused environment.
Soft Skills & Operational Fit
The candidate's academic and research background suggests strong analytical and problem-solving skills. The teaching assistant role implies good communication and mentoring abilities. However, there is limited direct evidence of operational fit in a fast-paced industry setting or specific team collaboration scenarios outside of academic projects.