Bang Tran - RankMe

17 papers B 1C 1Misc 4Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	Misc	`conf`	Collision-Responsive Micro-Scheduling for 802.11: Broadcast NAKs and Contender-Count Scaled Backoff. ICNC Haoyu Wang, Daniel Kaseya, Bang Tran, Peng Jiang, Bo Sheng, Xiaoqian Zhang
2025	B	`conf`	Exploring Safer Image Sharing: A Vision-Language Approach to Privacy Risk Detection and Protection. MASS Bang Tran, Haoyu Wang, Xiaoqian Zhang, Peng Jiang
2024	J	`jnl`	CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome. Briefings Bioinform. Ha Nguyen, Van-Dung Pham, Hung Nguyen, Bang Tran, Juli Petereit, Tin Nguyen
2023	Misc	`conf`	Early Detection of Cognitive Decline Using Voice Assistant Commands. ICASSP Eli Kurtz, Youxiang Zhu, Tiffany M. Driesse, Bang Tran, John A. Batsis, Robert M. Roth, Xiaohui Liang
2023	—	`conf`	Exploiting Relevance of Speech to Sleepiness Detection via Attention Mechanism. ICC Bang Tran, Youxiang Zhu, James W. Schwoebel, Xiaohui Liang
2023	—	`—`	Novel Techniques for Single-cell RNA Sequencing Data Imputation and Clustering. Bang Tran
2023	C	`conf`	VPASS: Voice Privacy Assistant System for Monitoring In-home Voice Commands. PST Bang Tran, Sai Harshavardhan Reddy Kona, Xiaohui Liang, Gabriel Ghinita, Caroline Summerour, John A. Batsis
2022	Misc	`conf`	Speech Tasks Relevant to Sleepiness Determined With Deep Transfer Learning. ICASSP Bang Tran, Youxiang Zhu, Xiaohui Liang, James W. Schwoebel, Lindsay A. Warrenburg
2022	Misc	`conf`	Towards Interpretability of Speech Pause in Dementia Detection Using Adversarial Learning. ICASSP Youxiang Zhu, Bang Tran, Xiaohui Liang, John A. Batsis, Robert M. Roth
2021	J	`jnl`	A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data. Briefings Bioinform. Hung Nguyen, Duc Tran, Bang Tran, Bahadir Pehlivan, Tin Nguyen
2021	—	`conf`	Exploiting Physical Presence Sensing to Secure Voice Assistant Systems. ICC Bang Tran, Shenhui Pan, Xiaohui Liang, Honggang Zhang
2021	J	`jnl`	Exploiting peer-to-peer communications for query privacy preservation in voice assistant systems. Peer-to-Peer Netw. Appl. Bang Tran, Xiaohui Liang
2021	J	`jnl`	Speech Tasks Relevant to Sleepiness Determined with Deep Transfer Learning. CoRR Bang Tran, Youxiang Zhu, Xiaohui Liang, James W. Schwoebel, Lindsay A. Warrenburg
2021	J	`jnl`	Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning. CoRR Youxiang Zhu, Bang Tran, Xiaohui Liang, John A. Batsis, Robert M. Roth
2021	—	`conf`	scIDS: Single-cell Imputation by combining Deep autoencoder neural networks and Subspace regression. KSE Bang Tran, Quyen Nguyen, Sangam Shrestha, Tin Nguyen
2020	—	`conf`	Disease subtyping using community detection from consensus networks. KSE Hung Nguyen, Bang Tran, Duc Tran, Quang-Huy Nguyen, Duc-Hau Le, Tin Nguyen
2019	—	`conf`	RIA: a novel Regression-based Imputation Approach for single-cell RNA sequencing. KSE Bang Tran, Duc Tran, Hung Nguyen, Nam Sy Vo, Tin Nguyen

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.