Biography

Greetings! I am currently a student at Saarland University, pursuing Master of Science in Visual Computing. Moreover, I am a 2020 Electrical Engineering graduate from Zakir Husain College of Engineering and Technology, Aligarh Muslim University, India and was a member of the Centre for Interdisciplinary Biomedical and Human Factors Engineering directed by Professor Yusuf Uzzaman Khan.

My main interests lie at the intersection of Signal and Image Processing, Computer Vision, Machine Learning, Deep Learning, and Biomedical Image Computing with a focus on advancing medical technologies and improving healthcare systems. I have hands-on experience with a variety of different computer vision projects in both industry and academia. Before joining Saarland University, I worked as a Data Science Research Intern at Onward Health, India. There, I developed deep learning models for the multi-class segmentation of positive and negative cells in Ki67 and ER/PR stained breast immunohistochemistry (IHC) images to assist pathologists and radiologists in doing breast cancer diagnosis and prognosis.

Publications

Semantic Segmentation of Oral Buccal Mucosa Lesions using U-Net Convolutional Neural Network Code Thesis

• Working on the classification of the oral cancer to identify whether the segmented lesion is malignant or benign.
• Developed a U-Net based convolutional neural network using EfficientNetb3 as backbone for the task of segmentation of oral lesions.
• Developed an image processing algorithm to segment the marked oral buccal lesions from digital pictures of oral cavity and generated a corresponding binary mask to use it as a ground truth.

Handwritten Signatures Extraction and Verification using Image Processing Code

• Designed a correlation based off-line signature verification system.
• Developed an image processing based algorithm to extract the signatures from personal identifi- cation cards like social insurance cards, driving licenses, and health insurance cards issued by the Government of Canada.
• Subsequently, the signatures were authenticated by calculating the correlation between the extracted features.

Sequential Segmentation of EEG Signals for Epileptic Seizure Detection using Machine Learning Code

• Developed a method to ease the burden of intractable seizures by the automatic recognition of interictal epileptiform activity in the intracerebral EEG of epileptic patients.
• Proposed sequential segmentation of EEG followed by feature extraction and selection by PCA.
• Classification implementing different classifiers and evaluated using 10-fold cross validation.

Smart Parking System Code

• Developed a system to determine the vehicle occupancy and nearest vacant space in a parking lot that updates driver in real-time
• Used optical character recognition to recognise the slot labels and display them on the screen.
• Successfully designed and implemented in MATLAB on a model prototype.

Globalink Research Internship 2019, MITACS

Selected for the prestigious Globalink Research Internship to participate in a 12-week research in Interdisciplinary Research Laboratory in Imaging and Combinatorics at University of Quebec, Trois Rivieres, Canada.

Khorana Program for Scholars 2019, IUSSTF

Selected among the top 50 students from India for the prestigious Khorana Program for Scholars to pursue research internship at Boston University, Boston, USA.

Merit-based scholarship 2019, Aligarh Muslim University

Awarded a scholarship from the university for continuously ranking among the top three students in the class of 76 students of Electrical Engineering.

Global Internship Program in Engineering Design and Innovation (GIPEDI), 2018

Selected among the top 25 students from India for the prestigious GIPEDI Program to pursue research internship at Indian Institute of Technology Delhi, India.