Tsega Asresa Mengistu

Category	Item	Details
Personal Information	Full Name	Tsega Asresa Mengistu
	Academic Rank	Lecturer
	Position	Lecturer & Researcher, Department of Computer Science
	Institution	Injibara University, College of Engineering & Technology, Ethiopia
Biography	Profile Summary	Lecturer and researcher in Computer Science with expertise in intelligent systems and real-world AI applications. Previously served at Wolaita Sodo University (May 2019 – Dec 2024). Holds an M.Sc. in Computer Science from Arba Minch University (2022) and a B.Sc. from Wolaita Sodo University (2018). Research focuses on Computer Vision, Deep Learning, Machine Learning, Imaging, Cloud Computing, Digital Twins, and AI for real-world impact.
Education	M.Sc. Computer Science	Arba Minch University, 2022
	B.Sc. Computer Science	Wolaita Sodo University, 2018
Professional Experience	Lecturer & Researcher	Wolaita Sodo University (May 2019 – Dec 2024)
	Lecturer & Researcher	Injibara University (Jan 2025 – Present)
Research Interests	AI & Intelligent Systems	Computer Vision; Deep Learning; Machine Learning; Deep Reinforcement Learning
	Applied Imaging	Medical & Agricultural Imaging
	Emerging Technologies	Cloud Computing; Digital Twins
Publications (2025)	Enhancing ATM Security via Deep Transfer Learning-Based Face Recognition	International Conference on Information and Communication Technology (2025) IEEE
	Indigenous Knowledge-Based Enset Crop Medicinal Value Identification Using Computer Vision	International Conference on Information and Communication Technology (2025) IEEE
	Deep Learning-Powered Metric-Based Model for Multi-Label Classification of Traditional Foods in Wolaita Sodo	International Conference on Advanced Science and Technology 2025, Bahir Dar, Ethiopia Springer
Publications (2022)	Aromatic Medicinal Plant Classification Using Deep Learning	ICCV Conference, World Academy of Science, Engineering & Technology
	CNN-Driven Computer Vision-Based Facial Emotion Recognition	Indian Journal of Computer Graphics and Multimedia
Peer-Reviewed Contributions	Large-Scale Multi-Label Classification of Aromatic Medicinal Plants	Tsega Asresa; Yididiya Abraham Mojo; Ayodeji Olalekan Salau; et al.
	Multi-Class Image Classification for Rosemary Varieties	Tsega Asresa Mengistu; Ayodeji Olalekan Salau
	Interpretable Bone Fracture Classification using Deep Learning	Yididiya Abraham Mojo; Tsega Asresa Mengistu; et al.
Ongoing Research Project	Title	Deep Learning for Early Detection and Classification of Colic in Horses
	Role	Principal Investigator (PI)
	Institution	Injibara University
	Collaborating Field	Veterinary Medicine & Animal Health
	Description	Development of a deep learning system for early detection and classification of equine colic using computer vision and physiological data.
	Objectives	Early detection • Severity classification • Real-time monitoring • Indigenous knowledge integration
	Methodology	CNN-based image/video analysis • Multimodal data integration • Field data collection • AI monitoring interface
	Expected Outcomes	Early warning system • Veterinary decision support • Real-time monitoring • Scientific outputs & community impact
	Status	Ongoing
Contact Information	Office	College of Engineering & Technology, 4th Floor, Room 410, Injibara University, Ethiopia
	ORCID	0000-0001-9876-6685
	Email	tsegavision@gmail.com ; tsega.asresa@inu.edu.et
	Phone	+251 934 600 382