Zain Taufique
Doctoral Candidate
zain.taufique@utu.fi Vesilinnantie 5 Turku Office: 452D ORCID identifier: https://orcid.org/0000-0002-5298-6049 |
Biography
Zain Taufique has received his MS degree in Electronics and Embedded Systems from Lahore University of Management and Sciences (LUMS) in 2020. He is currently pursuing his Ph.D. degree at the University of Turku, Finland. His research interest includes bio-medical wearable devices, low power chip designs, FPGA accelerators, high-level synthesis tools, energy-efficient IoT, and AI-based hardware architectures.
Research
Research topic (according to plan)
Design of Reconfigurable and Approximate Functional Units for Wearable Applications
- Interests (research-wise)
- Low Power Wearable Designs
- FPGA based hardware reconfiguration
- Approximate Computing on IoT devices
- Deep Learning on Hardware applications
- Machine Learning based Autonomous Applications
Publications
- Exploiting Approximation for Run-time Resource Management of Embedded HMPs (2025)
- ACM Transactions in Embedded Computing Systems
(A1 Refereed original research article in a scientific journal) - HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms (2025)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(A4 Refereed article in a conference publication ) - Adaptive approximate computing in edge AI and IoT applications: A review (2024)
- Journal of Systems Architecture
(A2 Refereed review article in a scientific journal ) - Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms (2024)
- Proceedings of the Asia and South Pacific Design Automation Conference
(A4 Refereed article in a conference publication ) - Tango: Low Latency Multi-DNN Inference on Heterogeneous Edge Platforms (2024)
- Proceedings : IEEE International Conference on Computer Design
(A4 Refereed article in a conference publication ) - A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials (2021)
- IEEE Transactions on Circuits and Systems II: Express Briefs
(A1 Refereed original research article in a scientific journal) - An 8.7 μJ/class. FFT accelerator and DNN-based configurable SoC for Multi-Class Chronic Neurological Disorder Detection (2021) Taufique Zain, Zhu Bingzhao, Coppola Gianluca, Shoaran Mahsa, Saadeh Wala, Muhammad Awais Bin Altaf
(A4 Refereed article in a conference publication ) - Approximate Feature Extraction for Low Power Epileptic Seizure Prediction in Wearable Devices (2021) 2021 IEEE Nordic Circuits and Systems Conference (NorCAS) Taufique Zain, Kanduri Anil, Bin Altaf Muhammad Awais, Liljeberg Pasi
(A4 Refereed article in a conference publication ) - An ECG Processor for the Detection of Eight Cardiac Arrhythmias with Minimum False Alarms (2019) 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Sohail MA, Taufique Z, Abubakar SM, Saadeh W, Bin Altaf MA
(A4 Refereed article in a conference publication )
UTU Research Portal