Meet Our Researchers
The student researchers behind Afrium's active research tracks — selected from 47+ universities nationwide, working under PhD-supervised mentorship.
Kiran Shams
Research Lead
Kiran Shams
Research Lead Assistant to the Mentor — leading Class of Research
Assistant to the Principal Mentors · Track Orchestration & Milestones
Guiding 4 Parallel Research Groups across 47+ Nationwide Universities
EEG-Based Brain Decoding
Covert and imagined neural decoding from non-invasive biosignals.
Manaal Pervaiz
EEG Neural Decoding / BCIC2020-3
Ayesha Noor
Imagined Speech EEG Decoding
Syeda Radhiya Aamir
Neural Signal Representation & Brain-Computer Interfacing
Wearable Multimodal Biosignal Intelligence
Cross-subject physiological adaptation and real-time stress modeling.
Omama Malik
“A Reliability-Aware, Individual-Adaptive Approach to Multimodal Physiological Stress Detection”
Jamiha Tashfeen
“A Reliability-Aware, Individual-Adaptive Approach to Multimodal Physiological Stress Detection”
Maryam
“A Reliability-Aware, Individual-Adaptive Approach to Multimodal Physiological Stress Detection”
Self-Supervised and Contrastive Learning
Unsupervised representations across heterogeneous biosignal streams.
Muhammad Mohsin
“Self-Supervised Representation Learning”
Rohan Ahmed
“Isolating Hardware Fidelity Degradation from Modality Shift in Cross-Model Physiological Representation Learning”
Muhammad Jamani
“Self-Supervised / Contrastive Learning”
Medical Imaging and AI
Diagnostic foundation vision models and clinical neuroimaging.
Abeera Anwer
“Brain Age Estimation from a Single 3D T1-Weighted MRI Scan”
Hira Arif
Medical Vision & AI Diagnostics
Afrium Research Architecture
Guided by Global PhD Mentors
Explore our faculty of international AI mentors from Meta, OpenAI, UESTC, and top labs challenging assumptions, directing validation, and reviewing code.