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Posts by Collection
portfolio
Portfolio item number 2
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publications
An Efficient Systematic Approach for Adaptability Synthesis of IoT Performance Permalink
Published in Journal of Policy Research, 2023
Ontology driven survey of 158 IoT performance metrics organized across twelve measurement categories for holistic assessment.
Anomaly Detection in IoT Permalink
Published in Contemporary Journal of Social Science Review, 2024
Comparative study of machine learning models for IoT anomaly detection with feature reduction to speed execution.
Enhanced Deep Learning Based Precision Agriculture with CNNs Permalink
Published in Journal of Mechanics of Continua and Mathematical Sciences, 2024
Explainable CNN decision support system that improves crop recommendation accuracy using soil and environmental sensing data.
Efficient ML Technique for Brain Tumor Segmentation and Detection Permalink
Published in Spectrum of Engineering Sciences, 2025
Ensemble U-Net strategy for MRI based brain tumor segmentation with detailed comparison across dice, Hausdorff, and RMSE metrics.
Reliable Federated Learning Assisted Intrusion Detection Using SSL/TLS Permalink
Published in Annual Methodological Archive Research Review, 2025
Federated learning framework that secures network communications with SSL/TLS while boosting intrusion detection accuracy and privacy.
Intelligence Based Self-Healing Network Design for IoT Breaches Permalink
Published in Annual Methodological Archive Research Review, 2025
AI driven automated incident response system that autonomously quarantines, mitigates, and recovers from IoT security breaches.
Enhanced IoT Network Security for Network Intrusion Detection Permalink
Published in Annual Methodological Archive Research Review, 2025
Stacked LSTM based intrusion detection system for IoT security featuring chi-square driven feature selection and high precision against complex attack patterns.
talks
International Conference on Computing & Emerging Technologies (ICCET 2023)
Published:
Presented applied AI research outcomes covering computer vision pipelines for precision agriculture and the operational lessons learned from deploying ML models in production.
Symposium on Indigenous Innovations
Published:
Delivered insights on AI driven solutions for indigenous innovation, highlighting precision agriculture work and community impact initiatives.
International Diversity and Inclusion in Erasmus+ Mobility
Published:
Discussed inclusive mobility strategies within Erasmus+, focusing on equitable access for participants across partner institutions and integrating diversity metrics into program evaluation.
teaching
MM Foundation Village Outreach Program
Community Education, MM Foundation Village Outreach, 2020
From Jun 2018 to Oct 2020 I served as a student volunteer leader with the MM Foundation Village Outreach Program, where we tackled the digital divide in rural Punjab through sustained computer literacy initiatives. I coordinated a cohort of volunteers to deliver over fifty workshops that combined introductory computing, internet safety, and applied problem-solving tailored to local agricultural and small business needs. Our sessions equipped more than five hundred participants with practical digital skills, including spreadsheet-based budgeting and smartphone-enabled market research.
AirClass Coding Tutor
Remote Instruction, AirClass, Remote (Singapore), 2025
During my tenure as a coding tutor with AirClass (Jan 2020 – Jul 2025) I delivered personalised, project-based instruction in Python, data science, and applied AI to more than one hundred learners across Asia-Pacific and the Middle East. I designed modular curricula that paired foundational programming concepts with capstone applications, from computer vision mini-projects to end-to-end analytics dashboards, ensuring that each student built a tangible portfolio demonstrating both algorithmic understanding and practical problem-solving.