Abebe Belay Adege

12 papers Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Research Advances in Maize Crop Disease Detection Using Machine Learning and Deep Learning Approaches. Comput. Thangavel Murugan, N. Nasurudeen Ahamed, Nura Shifa Musa, Eiman Mubarak Masoud Alahbabi, Ruqayyah Ali Ahmed Alyammahi, Abebe Belay Adege, Afedi Abdi, Zemzem Mohammed Megersa
2025	J	`jnl`	AI-Powered Human Activity Detection and Tracking in Dense Crowds Using YOLOv8-DeepSORT. IET Image Process. Abebe Belay Adege, Muluye Fentie Admas, Yitayal Tehone, Boaz Berhanu Tulu, Eyosiyas Tibebu Endalamaw
2025	J	`jnl`	Automatic Identification of Amharic Text Idiomatic Expressions Using a Deep Learning Approach. IEEE Access Habtamu Hunegnaw Limenih, Abebe Belay Adege, Abrham Yaregal Alene, Habtamu Tariku Demasu, Habtamu Molla Belachew
2021	J	`jnl`	D IEEE Internet Things J. Getaneh Berie Tarekegn, Rong-Terng Juang, Hsin-Piao Lin, Abebe Belay Adege, Yirga Yayeh Munaye
2020	J	`jnl`	Mobility Predictions for IoT Devices Using Gated Recurrent Unit Network. IEEE Internet Things J. Abebe Belay Adege, Hsin-Piao Lin, Li-Chun Wang
2019	—	`conf`	Applying Long Short-Term Memory (LSTM) Mechanisms for Fingerprinting Outdoor Positioning in Hybrid Networks. VTC Fall Getaneh Berie Tarekegn, Hsin-Piao Lin, Abebe Belay Adege, Yirga Yayeh Munaye, Shiann-Shiun Jeng
2019	—	`conf`	Deep Learning-Based Throughput Estimation for UAV-Assisted Network. VTC Fall Yirga Yayeh Munaye, Abebe Belay Adege, Getaneh Berie Tarekegn, Yun-Ruei Li, Hsin-Piao Lin, Shiann-Shiun Jeng
2019	—	`conf`	Machine Learning Based Rapid 3D Channel Modeling for UAV Communication Networks. CCNC Jing-Ling Wang, Yun-Ruei Li, Abebe Belay Adege, Li-Chun Wang, Shiann-Shiun Jeng, Jen-Yeu Chen
2019	J	`jnl`	UAV Positioning for Throughput Maximization Using Deep Learning Approaches. Sensors Yirga Yayeh, Hsin-Piao Lin, Abebe Belay Adege, Getaneh Berie Tarekegn
2018	J	`jnl`	An Indoor and Outdoor Positioning Using a Hybrid of Support Vector Machine and Deep Neural Network Algorithms. J. Sensors Abebe Belay Adege, Hsin-Piao Lin, Getaneh Berie Tarekegn, Yirga Yayeh, Lei Yen
2018	—	`conf`	Indoor localization using K-nearest neighbor and artificial neural network back propagation algorithms. WOCC Abebe Belay Adege, Yirga Yayeh, Getaneh Berie, Hsin-Piao Lin, Lei Yen, Yun-Ruei Li
2018	—	`conf`	Multi-UAVs communication for payload data link enhancement under asynchronous access. WOCC Yun-Ruei Li, Hsin-Piao Lin, Li-Chun Wang, Abebe Belay Adege, Li-Yong Chen

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.