Abdul Joseph Fofanah

15 papers Misc 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CAST-CKT: Chaos-Aware Spatio-Temporal and Cross-City Knowledge Transfer for Traffic Flow Prediction. CoRR Abdul Joseph Fofanah, Lian Wen, David Chen, Alpha Alimamy Kamara, Zhongyi Zhang
2026	J	`jnl`	Enhancing Imbalanced Node Classification via Curriculum-Guided Feature Learning and Three-Stage Attention Network. CoRR Abdul Joseph Fofanah, Lian Wen, David Chen, Shaoyang Zhang
2026	J	`jnl`	FAMAFuse: Functional-Anatomical Multiscale Attention for Multimodal Image Fusion. IEEE Trans. Circuits Syst. Video Technol. Alpha Alimamy Kamara, Shiwen He, Abdul Joseph Fofanah
2026	J	`jnl`	GRAFNet: Multiscale Retinal Processing via Guided Cortical Attention Feedback for Enhancing Medical Image Polyp Segmentation. CoRR Abdul Joseph Fofanah, Lian Wen, Alpha Alimamy Kamara, Zhongyi Zhang, David Chen, Albert Patrick Sankoh
2026	J	`jnl`	PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting. CoRR Abdul Joseph Fofanah, Lian Wen, David Chen
2026	J	`jnl`	PIMPC-GNN: Physics-Informed Multi-Phase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks. CoRR Abdul Joseph Fofanah, Lian Wen, David Chen
2025	J	`jnl`	CHAMFormer: Dual heterogeneous three-stages coupling and multivariate feature-aware learning network for traffic flow forecasting. Expert Syst. Appl. Abdul Joseph Fofanah, David Chen, Lian Wen, Shaoyang Zhang
2025	J	`jnl`	EATSA-GNN: Edge-Aware and Two-Stage attention for enhancing graph neural networks based on teacher-student mechanisms for graph node classification. Neurocomputing Abdul Joseph Fofanah, Alpha Omar Leigh
2025	J	`jnl`	MDPNet: Multiscale Dynamic Polyp-Focus Network for Enhancing Medical Image Polyp Segmentation. IEEE Trans. Medical Imaging Alpha Alimamy Kamara, Shiwen He, Abdul Joseph Fofanah, Rong Xu, Yuehan Chen
2025	Misc	`conf`	WaveFSL: Wave Interference-Based Meta-learning for Few-Shot Cross-Modality Traffic Forecasting. AusDM Abdul Joseph Fofanah, Lian Wen, David Chen, Shaoyang Zhang, Alpha Alimamy Kamara
2025	J	`jnl`	nnSAM2: nnUNet-Enhanced One-Prompt SAM2 for Few-shot Multi-Modality Segmentation and Composition Analysis of Lumbar Paraspinal Muscles. CoRR Zhongyi Zhang, Julie A. Hides, Enrico De Martino, Abdul Joseph Fofanah, Gervase Tuxworth
2024	J	`jnl`	Addressing imbalance in graph datasets: Introducing GATE-GNN with graph ensemble weight attention and transfer learning for enhanced node classification. Expert Syst. Appl. Abdul Joseph Fofanah, David Chen, Lian Wen, Shaoyang Zhang
2023	J	`jnl`	FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.
2022	J	`jnl`	Medical images lossless recovery based on POB number system and image compression. Multim. Tools Appl. Qingdan Li, Yao Fu, Zehui Zhang, Abdul Joseph Fofanah, Tiegang Gao
2020	—	`conf`	Dual Watermarking for Protection of Medical Images based on Watermarking of Frequency Domain and Genetic Programming. ICIAI Abdul Joseph Fofanah, Tiegang Gao

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.