Taesu Cheong - RankMe

25 papers Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Period Multi-Depot Vehicle Routing Problem for Mobile Center-Based Last Mile Delivery. IEEE Access Minseo Choi, Hyungjoo Cha, Taesu Cheong
2025	J	`jnl`	A Three-Dimensional Pipe Routing Problem in Semiconductor Fabrication Industry. IEEE Access Junghwa Lee, Wonhee Cho, Hyungjoo Cha, Taesu Cheong
2025	J	`jnl`	An optimisation model and algorithm for job scheduling with extra resource allocation in shipbuilding. Int. J. Prod. Res. Seokhyun Chung, Cheonggi Park, Hyungjoo Cha, Taesu Cheong
2025	J	`jnl`	Driving-Pattern-Based Ensemble Clustering for SOC Prediction in Battery-Swapping Electric Two-Wheeled Vehicles. IEEE Access Musun Choi, Gwang-Jong Ko, Tossapon Boongoen, Natthakan Iam-On, Seungdon Zu, Taesu Cheong
2025	J	`jnl`	Extracting Supply Chain Information From News Articles Using Large Language Models: A Fully Automatic Approach. IEEE Access Jaewon Kim, Eunbi Kim, Dongsoo Kim, Yoojoong Kim, Taesu Cheong
2025	J	`jnl`	FDN: A Real-Time Ensemble Fire Detection Network. IEEE Access Dong Hwan Shin, Jang Mook Kang, Taesu Cheong
2024	J	`jnl`	An Exact A*-Based Tree Search Algorithm for TSP With Sequence-and-Load Dependent Risk. IEEE Trans. Intell. Transp. Syst. Hyungjoo Cha, Chanho Lee, Chi Xie, Qing-Chang Lu, Joonyup Eun, Taesu Cheong
2024	J	`jnl`	Dynamic-Persistent CSMA: A Reinforcement Learning Approach for Multi-User Channel Access. IEEE Access Chanho Lee, Seungkeun Park, Taesu Cheong
2024	J	`jnl`	Smart Battery Swapping Control for an Electric Motorcycle Fleet With Peak Time Based on Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. YoonShik Park, Seungdon Zu, Chi Xie, Hyunwoo Lee, Taesu Cheong, Qing-Chang Lu, Meng Xu
2022	J	`jnl`	Analysis on Benefits and Costs of Machine Learning-Based Early Hospitalization Prediction. IEEE Access Eunbi Kim, Kap Su Han, Taesu Cheong, Sung Woo Lee, Joonyup Eun, Su Jin Kim
2022	J	`jnl`	Flexible Delivery Routing for Elastic Logistics: A Model and an Algorithm. IEEE Trans. Intell. Transp. Syst. Minyoung Lee, Jinseok Hong, Taesu Cheong, Hongchul Lee
2021	J	`jnl`	A reinforcement learning approach to distribution-free capacity allocation for sea cargo revenue management. Inf. Sci. Dong-Wook Seo, Kyuchang Chang, Taesu Cheong, Jun-Geol Baek
2021	J	`jnl`	Integer programming approach and application of reformulation-linearization technique to liver exchange problem. Expert Syst. Appl. Junsang Yuh, Joonyup Eun, Taesu Cheong
2021	J	`jnl`	Unmanned Aerial Vehicle Last-Mile Delivery Considering Backhauls. IEEE Access Ahram Jeon, Joohang Kang, Byungil Choi, Nakyung Kim, Joonyup Eun, Taesu Cheong
2020	J	`jnl`	A mathematical programming approach for integrated multiple linear regression subset selection and validation. Pattern Recognit. Seokhyun Chung, Young Woong Park, Taesu Cheong
2020	J	`jnl`	Intelligent traffic control for autonomous vehicle systems based on machine learning. Expert Syst. Appl. Sangmin Lee, Younghoon Kim, Hyungu Kahng, Soonkyo Lee, Seokhyun Chung, Taesu Cheong, Keeyong Shin, Jeehyuk Park, Seoung Bum Kim
2019	J	`jnl`	Effects of Yield and Lead-Time Uncertainty on Retailer-Managed and Vendor-Managed Inventory Management. IEEE Access Soonkyo Lee, Young Joo Kim, Taesu Cheong, Seung Ho Yoo
2017	J	`jnl`	Impact of supply chain power and drop-shipping on a manufacturer's optimal distribution channel strategy. Eur. J. Oper. Res. Dennis Z. Yu, Taesu Cheong, Daewon Sun
2016	J	`jnl`	Solving the Dynamic Vehicle Routing Problem Under Traffic Congestion. IEEE Trans. Intell. Transp. Syst. Gitae Kim, Yew-Soon Ong, Taesu Cheong, Puay Siew Tan
2015	J	`jnl`	Effect of Inventory Information Discrepancy in a Drop-Shipping Supply Chain. Decis. Sci. Taesu Cheong, Mark Goh, Sang Hwa Song
2014	J	`jnl`	A minimax distribution-free procedure for a newsvendor problem with free shipping. Eur. J. Oper. Res. Kysang Kwon, Taesu Cheong
2013	J	`jnl`	Inventory replenishment control under supply uncertainty. Ann. Oper. Res. Taesu Cheong, Chelsea C. White III
2012	J	`jnl`	Dynamic Traveling Salesman Problem: Value of Real-Time Traffic Information. IEEE Trans. Intell. Transp. Syst. Taesu Cheong, Chelsea C. White III
2006	—	`conf`	Mobile Phone + RFID Technology = New Mobile Convergence Toward Ubiquitous Computing Environment. OTM Workshops (2) Taesu Cheong, Marie Kim
2005	—	`conf`	RFID Data Management and RFID Information Value Chain Support with RFID Middleware Platform Implementation. OTM Conferences (1) Taesu Cheong, Youngil Kim

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.