Panchamy Krishnakumari

17 papers Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dynamic Spatial-Temporal Graph Convolutional Neural Networks Approach for Active Mode Traffic Prediction. IEEE Trans. Intell. Transp. Syst. Xiamei Wen, Panchamy Krishnakumari, Serge P. Hoogendoorn
2025	J	`jnl`	Evaluating Crowd Flow Forecasting Algorithms for Indoor Pedestrian Spaces: A Benchmark Using a Synthetic Dataset. IEEE Trans. Intell. Transp. Syst. Weiming Mai, Dorine Duives, Panchamy Krishnakumari, Serge P. Hoogendoorn
2025	J	`jnl`	The Role of Spatial Features and Adjacency in Data-Driven Short-Term Prediction of Trip Production: An Exploratory Study in The Netherlands. IEEE Trans. Intell. Transp. Syst. Zahra Eftekhar, Saman Behrouzi, Panchamy Krishnakumari, Adam J. Pel, Hans van Lint
2024	J	`jnl`	A causal discovery approach to study key mixed traffic-related factors and age of highway affecting raveling. Comput. Aided Civ. Infrastructure Eng. Zili Wang, Panchamy Krishnakumari, Kumar Anupam, Hans van Lint, Sandra Erkens
2023	—	`conf`	A Data Protection Method for Short-Term Traffic Prediction with Applications to Network Active Mode Operations. ITSC Xiamei Wen, Panchamy Krishnakumari, Serge P. Hoogendoorn
2023	—	`conf`	A Data-Driven Integrated Framework for Fast-Charging Facility Planning Using Multi-Period Bi-Objective Optimization. ITSC Mingjia He, Panchamy Krishnakumari, Ding Luo, Jiaqi Chen
2023	J	`jnl`	A Data-Driven Integrated Framework for Fast-Charging Facility Planning using Multi-Period Bi-Objective Optimization. CoRR Mingjia He, Panchamy Krishnakumari, Ding Luo, Jiaqi Chen
2023	J	`jnl`	A data-driven approach to predict decision point choice during normal and evacuation wayfinding in multi-story buildings. CoRR Yan Feng, Panchamy Krishnakumari
2023	—	`conf`	Augmenting Ridership Data with Social Media Data to Analyse the Long-term Effect of COVID-19 on Public Transport. MT-ITS Yanyan Xu, Panchamy Krishnakumari, Neil Yorke-Smith, Serge P. Hoogendoorn
2023	J	`jnl`	Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events. CoRR Panchamy Krishnakumari, Sascha Hoogendoorn-Lanser, Jeroen Steenbakkers, Serge P. Hoogendoorn
2023	—	`conf`	Exploring and Enriching the Effect of Different Road Incidents on Traffic Spatiotemporal Characteristics. ITSC Mahsa Movaghar, Saman Behrouzi, Panchamy Krishnakumari, Serge P. Hoogendoorn, Hans van Lint
2021	J	`jnl`	Day-to-day and seasonal regularity of network passenger delay for metro networks. CoRR Panchamy Krishnakumari, Oded Cats, Hans van Lint
2020	J	`jnl`	Heuristic Coarsening for Generating Multiscale Transport Networks. IEEE Trans. Intell. Transp. Syst. Panchamy Krishnakumari, Oded Cats, Hans van Lint
2020	—	`—`	Multiscale Pattern Recognition of Transport Network Dynamics and its Applications: A bird's eye view on transport. Panchamy Krishnakumari
2019	—	`conf`	Exploring Demand Patterns of a Ride-Sourcing Service using Spatial and Temporal Clustering. MT-ITS Theo L. K. Liu, Panchamy Krishnakumari, Oded Cats
2018	—	`conf`	Understanding Network Traffic States using Transfer Learning. ITSC Panchamy Krishnakumari, Alan Perotti, Viviana Pinto, Oded Cats, Hans van Lint
2016	—	`conf`	Traffic COngestion pattern classification using multi-class SVM. ITSC Hong Nam Nguyen, Panchamy Krishnakumari, Hai Le Vu, Hans van Lint

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.