Doctor of Philosophy in Electrical and Computer Engineering
Mississippi State University, USA
Profile
About
Simegnew Yihunie Alaba completed his Ph.D. in Electrical and Computer Engineering at Mississippi State University in May 2024. He has been working as a Perception Engineer. His research focuses on computer vision, deep learning, machine learning, and autonomous driving. He is also a Senior Member of IEEE. He is committed to fostering cross-disciplinary collaborations, leveraging state-of-the-art techniques, and remaining at the forefront of research to drive engineering and artificial intelligence advancements.
Training
Education
Master of Science in Computer Engineering
Addis Ababa University, Ethiopia
Bachelor of Science in Electrical Engineering
Arba Minch University, Ethiopia
Focus Areas
Research Areas
Computer Vision
Deep Learning
Machine Learning
Autonomous Driving
Robotics Perception
Localization
Sensor Fusion
Selected Work
Publications
Uncertainty-Aware Adaptive Sensor Fusion for Autonomous Navigation
IEEE Open Journal of Intelligent Transportation Systems, 2026
Quantifying Uncertainty in Deep Learning: Methods, Challenges, and Future Directions
IEEE Transactions on Emerging Topics in Computational Intelligence, 2026
Transformer-Based Optimized Multimodal Fusion for 3D Object Detection
IEEE Access, 2024
Deep Learning-Based Image 3D Object Detection for Autonomous Driving
IEEE Sensors, 2023
A Survey on Deep-Learning-Based LiDAR 3D Object Detection for Autonomous Driving
MDPI Sensing and Imaging, 2022
WCAM: Wavelet Convolutional Attention Module
IEEE SoutheastCon, April 2024
YOLOv8-TF: Transformer-Enhanced YOLOv8 for Underwater Fish Species Recognition with Class Imbalance Handling
Sensing and Imaging, March 2025
Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection
World Electric Vehicle Journal, January 7, 2024
SmRNet: Scalable Multiresolution Feature Extraction Network
IEEE ICECET, November 16-17, 2023
Multi-Sensor Fusion 3D Object Detection for Autonomous Driving
Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea, and Space Vehicles, April 30-May 4, 2023
Optimizing and Gauging Model Performance with Metrics to Integrate with Existing Video Surveys
IEEE Ocean Conference & Exposition, Biloxi, MS, USA, September 25-28, 2023
Probabilistic Model-Based Active Learning with Attention Mechanism for Fish Species Recognition
IEEE Ocean Conference & Exposition, Biloxi, MS, USA, September 25-28, 2023
A Zero-Shot Detection Based Approach for Fish Species Recognition in Underwater Environments
IEEE Ocean Conference & Exposition, Biloxi, MS, USA, September 25-28, 2023
Semi-Supervised Learning for Fish Species Recognition
Ocean Sensing and Monitoring XV: Machine Learning/Deep Learning 1, Orlando, FL, USA, April 30-May 4, 2023
An Enhanced YOLOv5 Model for Fish Species Recognition
Ocean Sensing and Monitoring XV, April 2023
Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset
MDPI Sensing and Imaging, 2022
WCNN3D: Wavelet Convolutional Neural Network-Based 3D Object Detection for Autonomous Driving
MDPI Sensing and Imaging, 2022
Multifish Tracking for Marine Biodiversity Monitoring
Ocean Sensing and Monitoring XVI, April 2024
Active Detection for Fish Species Recognition in Underwater Environments
Ocean Sensing and Monitoring XVI, April 2024
Inconsistency-Based Active Learning with Adaptive Pseudo-Labeling for Fish Species Identification
Ocean Sensing and Monitoring XVI, April 2024
SEAMAPD21: A Large-Scale Reef Fish Dataset for Fine-Grained Categorization
IEEE CVPR FGVC8: The Eighth Workshop on Fine-Grained Visual Categorization, 2021
Writing
Blog
Service
Volunteer Work
Science Fair Judge
High school student science fair judge in Starkville, MS, February 2022 and March 2023.
Journal Reviewer
Reviewer for IEEE Access, IEEE Sensors Journal, and IEEE Transactions on Intelligent Transportation Systems.