Laha Ale - RankMe

24 papers C 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attention-Based Deep Reinforcement Learning for Joint Trajectory Planning and Task Offloading in AAV-Assisted Vehicular Edge Computing. IEEE Trans. Veh. Technol. Han Zhang, Hongbin Liang, Laha Ale, Guotao Mao, Xintao Hong, Qiong Jia, Dongmei Zhao
2026	J	`jnl`	Defending Backdoor Attacks in Task-Oriented Multi-User Semantic Communication: A Contrastive Training Approach. IEEE Trans. Netw. Sci. Eng. Jincheng Peng, Huanlai Xing, Lexi Xu, Shouxi Luo, Penglin Dai, Li Feng, Laha Ale, Bowen Zhao, Zhiwen Xiao
2026	J	`jnl`	Lightweight Edge Learning via Dataset Pruning. CoRR Laha Ale, Hu Luo, Mingsheng Cao, Shichao Li, Huanlai Xing, Haifeng Sun
2026	J	`jnl`	Switchable Activation Networks. CoRR Laha Ale, Ning Zhang, Scott A. King, Pingzhi Fan
2025	J	`jnl`	A Geometric Theory of Cognition. CoRR Laha Ale
2025	J	`jnl`	Enhancing statistical analysis of real world data. Database J. Biol. Databases Curation Laha Ale, Robert Gentleman, Christopher Endres, Sam Pullman, Nathan Palmer, Rafael S. Gonçalves, Deepayan Sarkar
2025	J	`jnl`	Joint Task Partitioning and Resource Allocation in RAV-Enabled Vehicular Edge Computing Based on Deep Reinforcement Learning. IEEE Internet Things J. Hongbin Liang, Han Zhang, Laha Ale, Xintao Hong, Lei Wang, Qiong Jia, Dongmei Zhao
2025	J	`jnl`	Security Enhanced Computation Offloading for Collaborative Inference at Semantic-Communication-Empowered Edge. IEEE Trans. Mob. Comput. Jincheng Peng, Huanlai Xing, Xiangyi Chen, Yang Li, Yunhe Cui, Danyang Zheng, Laha Ale, Li Feng
2025	J	`jnl`	Two-Hop Partial Task Offloading and Resource Allocation in Air-Ground Integrated Mobile Edge Computing Network: A DRL-Based Method. IEEE Internet Things J. Shichao Li, Bingji Lu, Laha Ale, Hongbin Chen, Fangqing Tan, Jingyue Huang
2024	J	`jnl`	Joint Computation Offloading and Multidimensional Resource Allocation in Air-Ground Integrated Vehicular Edge Computing Network. IEEE Internet Things J. Shichao Li, Laha Ale, Hongbin Chen, Fangqing Tan, Tony Q. S. Quek, Ning Zhang, Mianxiong Dong, Kaoru Ota
2024	J	`jnl`	Joint Optimization of Caching, Computing, and Trajectory Planning in Aerial Mobile Edge Computing Networks: An MADDPG Approach. IEEE Internet Things J. Haifeng Sun, Yuqiang Zhou, Hui Zhang, Laha Ale, Hongning Dai, Ning Zhang
2024	J	`jnl`	nhanesA: achieving transparency and reproducibility in NHANES research. Database J. Biol. Databases Curation Laha Ale, Robert Gentleman, Teresa Filshtein Sonmez, Deepayan Sarkar, Christopher Endres
2022	J	`jnl`	D3PG: Dirichlet DDPG for Task Partitioning and Offloading With Constrained Hybrid Action Space in Mobile-Edge Computing. IEEE Internet Things J. Laha Ale, Scott A. King, Ning Zhang, Abdul Rahman Sattar, Janahan Skandaraniyam
2021	J	`jnl`	D3PG: Dirichlet DDGP for Task Partitioning and Offloading with Constrained Hybrid Action Space in Mobile Edge Computing. CoRR Laha Ale, Scott A. King, Ning Zhang, Abdul Rahman Sattar, Janahan Skandaraniyam
2021	J	`jnl`	Deep Bayesian Learning for Car Hacking Detection. CoRR Laha Ale, Scott A. King, Ning Zhang
2021	C	`conf`	Deep Reinforcement Learning Aided Task Partitioning and Computation Offloading in Mobile Edge Computing. ICCC Laha Ale, Scott A. King, Ning Zhang, Abdul Rahman Sattar
2021	J	`jnl`	Delay-Aware and Energy-Efficient Computation Offloading in Mobile-Edge Computing Using Deep Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. Laha Ale, Ning Zhang, Xiaojie Fang, Xianfu Chen, Shaohua Wu, Longzhuang Li
2021	J	`jnl`	Delay-aware and Energy-Efficient Computation Offloading in Mobile Edge Computing Using Deep Reinforcement Learning. CoRR Laha Ale, Ning Zhang, Xiaojie Fang, Xianfu Chen, Shaohua Wu, Longzhuang Li
2021	J	`jnl`	Spatio-Temporal Bayesian Learning for Mobile Edge Computing Resource Planning in Smart Cities. CoRR Laha Ale, Ning Zhang, Scott A. King, Jose Guardiola
2021	J	`jnl`	Spatio-temporal Bayesian Learning for Mobile Edge Computing Resource Planning in Smart Cities. ACM Trans. Internet Techn. Laha Ale, Ning Zhang, Scott A. King, Jose Guardiola
2019	—	`conf`	Deep Learning Based Plant Disease Detection for Smart Agriculture. GLOBECOM Workshops Laha Ale, Alaa F. Sheta, Longzhuang Li, Ye Wang, Ning Zhang
2019	—	`conf`	Lightweight Deep Learning Model For Facial Expression Recognition. TrustCom/BigDataSE Laha Ale, Xiaojie Fang, Dajiang Chen, Ye Wang, Ning Zhang
2019	J	`jnl`	Online Proactive Caching in Mobile Edge Computing Using Bidirectional Deep Recurrent Neural Network. IEEE Internet Things J. Laha Ale, Ning Zhang, Huici Wu, Dajiang Chen, Tao Han
2018	—	`conf`	Road Damage Detection Using RetinaNet. IEEE BigData Laha Ale, Ning Zhang, Longzhuang Li

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.