Natenaile Asmamaw Shiferaw

I'm currently an Erasmus Mundus master's student in Intelligent Photonics for Security, Reliability, Sustainability and Safety (iPSRS) , a joint triple-degree program offered by Université Jean Monnet (France), the University of Eastern Finland (Finland), and Université Paris-Est Créteil (France). Previously, I completed my B.Tech in Computer Science and Engineering at C. V. Raman Global University, India.

Email / Scholar / LinkedIn / Github

Research

My background is in computer vision, with a strong foundation in machine learning. I am currently interested in computational imaging, 3D vision, and diffusion models.

	Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers Natenaile Asmamaw Shiferaw, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Ganapati Panda, Prince Jain, Adyasha Rath, Md. Shabiul Islam, Mohammad Tariqul Islam IEEE Access, 2025 IEEE Access Combining CNN-based feature extraction with classical machine learning classifiers enables accurate and robust recognition of handwritten Amharic characters, achieving strong performance for complex and underrepresented scripts.
	An Efficient Baseline Restoration Circuit for Real-Time Impedance Cardiography: FPGA-Based Calibration with MultiSensor Integration Priya Darshini Kumari, Ksh Milan Singh, Zefree Lazarus Mayaluri, Natenaile Asmamaw Shiferaw, Ganapati Panda, Sujeevan Kumar Agir JSIR, 2025 JSIR Multisensor-driven adaptive baseline correction significantly reduces motion and respiratory artifacts in impedance cardiography for reliable real-time monitoring.
	Enhancing compact convolutional transformers with super attention Simpenzwe Honore Leandre, Natenaile Asmamaw Shiferaw, Dillip Rout arXiv, 2025 arXiv A token-mixing vision architecture achieves strong accuracy and efficient inference on fixed-length image tasks, outperforming attention-based transformers with improved training stability.
	BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AI Natenaile Asmamaw Shiferaw, Simpenzwe Honore Leandre, Aman Sinha, Dillip Rout arXiv, 2024 arXiv An explainable BERT-based framework accurately automates Course Articulation Matrix construction by learning semantic alignment between course and program outcomes.
	Hybrid Hand Detection and Segmentation for Ego-Centric Interaction Using YOLO (v8-v11) and RT-DETR for Detection, Followed by SAM and SAM 2 for Segmentation Natenaile Asmamaw Shiferaw, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Ganapati Panda Elsevier's Image and Vision Computing*, Under review Elsevier Combining lightweight YOLO-based detection with prompt-based SAM segmentation enables accurate ego-centric hand detection and segmentation for human–robot interaction.
	Lightweight Hybrid CNN–Transformer Ensembles with Explainable AI for Lung Disease Detection from Chest X-rays Natenaile Asmamaw Shiferaw, Zefree Lazarus Mayaluri IEEE JBHI, Under review IEEE JBHI An efficient, explainable CNN–ViT ensemble approach delivers high-accuracy lung disease diagnosis from chest X-ray images.
	Comparative Analysis of YOLOv8 and YOLOv11 for Brain Tumor Instance Segmentation Natenaile Asmamaw Shiferaw, Simpenzwe Honore Leandre, Dillip Rout, Aman Sinha MAiTRI, 2025 (Accepted) MAiTRI A YOLO-based instance segmentation framework enables efficient and accurate localization and delineation of brain tumors in medical images.

Miscellanea

Scholarships & Awards

Erasmus Mundus Full Ride Master’s Scholarship (2025): Selected among 20 students for a joint Master’s program in Intelligent Photonics across France and Finland.
ISACA Cybersecurity Month Scholarship (2024): Recipient of a US$2,500 award, selected among 5 students for academic performance in computer vision applications in cybersecurity.
Digital Trust Scholarship (2024): Recipient of a US$1,000 award, selected among 15 students in recognition of academic excellence in cybersecurity.
Study in India Undergraduate Scholarship (2021): Selected among 2000 candidates from 50,000+ applicants to pursue a B.Tech in Computer Science and Engineering in India.

Thanks Jon Barron for the website source code.