Back to Supervision Directory
Spring 2026·Dr. Junaid Akram

Supervised Student Project

CompletedSpring 2026BS Software Engineering

HemaAI — Diagnostic Intelligence System

Completed biomedical machine learning project deploying deep convolutional neural networks to classify blood cell microscopic images and detect diagnostic anomalies automatically.

Medical Image AIConvolutional Neural NetworksCell Classification
Students

HemaAI Student Team

Supervision

Dr. Junaid AkramLead Supervisor

Institution

Medical AI ResearchCOMSATS University Islamabad, Lahore Campus

Implementation evidence & interfaces

Interactive Visual Showcase

Use slideshow controls, arrows, or thumbnails to explore architecture and UI layers.

Slide 1 of 1HemaAI Diagnostic Intelligence Poster
HemaAI Diagnostic Intelligence Poster

Supervised Projects Portfolio

Related Research & Supervised Projects

View all projects
AI & Machine Learning

Cric-Craft — AI Cricket Performance Analysis System

Completed sports analytics platform combining computer vision for ball-tracking, player biomechanics assessment, and statistical match prediction.

SP25SE22 Student GroupView Case Study
AI & Machine Learning

ApneaGuard AI — Sleep Apnea Detection System

Completed biomedical signal processing system utilizing audio sensor processing and machine learning to detect nocturnal sleep apnea events in real time.

SP25CS03 Student GroupView Case Study
AI & Machine Learning

AI Dermatologist Diagnostic Platform

Completed computer vision healthcare system utilizing deep convolutional networks for automated skin lesion segmentation and dermatological risk classification.

AI Dermatologist TeamView Case Study