Olamide Jogunola

21 papers Journal 9Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Federated Learning Architecture for Bird Species Classification in Wetlands. J. Sens. Actuator Networks David Mulero-Pérez, Javier Rodríguez-Juan, Tamai Ramírez-Gordillo, Manuel Benavent-Lledó, Pablo Ruiz-Ponce, David Ortiz-Perez, Hugo G. González-Hernández, Anatoli Iarovikov, José García Rodríguez, Esther Sebastián-González, Olamide Jogunola, Segun I. Popoola, Bamidele Adebisi
2025	—	`conf`	An Explainable Multimodal Framework for Phishing Attack Detection. ESORICS Workshops (3) Shokooh Khandan, Mohammadreza Tabatabaei, Ifeanyi Bryan Uzoatul, Olamide Jogunola, Yakubu Tsado, Tooska Dargahi
2025	—	`conf`	Explainable AI-Driven Threat Detection and Response for Industrial IoT. CNS Shokooh Khandan, Deniz Beyazgul, Olamide Jogunola, Yakubu Tsado, Tooska Dargahi
2025	J	`jnl`	Safeguarding Efficacy in Large Language Models: Evaluating Resistance to Human-Written and Algorithmic Adversarial Prompts. CoRR Tiarnaigh Downey-Webb, Olamide Jogunola, Oluwaseun Ajao
2024	J	`jnl`	Federated Deep Learning for Intrusion Detection in Consumer-Centric Internet of Things. IEEE Trans. Consumer Electron. Segun I. Popoola, Agbotiname Lucky Imoize, Mohammad Hammoudeh, Bamidele Adebisi, Olamide Jogunola, Abiodun M. Aibinu
2024	J	`jnl`	Interlinked Computing in 2040: Safety, Truth, Ownership, and Accountability. Computer Charles Weir, Anna Dyson, Olamide Jogunola, Louise A. Dennis, Katie Paxton-Fear
2024	—	`conf`	Measuring Cyber Resilience of IoT-Enabled Critical National Infrastructures. ACNS Workshops (1) Adeola Adewumi, Mohammad Hammoudeh, Tooska Dargahi, Olamide Jogunola
2024	J	`jnl`	Peer-to-Peer Local Energy Market: Opportunities, Barriers, Security, and Implementation Options. IEEE Access Olamide Jogunola, Abimbola Susan Ajagun, Wayes Tushar, Femi O. Olatunji, Chau Yuen, Craig Morley, Bamidele Adebisi, Thokozani Shongwe
2023	—	`conf`	Machine Learning Algorithms to Detect Illicit Accounts on Ethereum Blockchain. ICFNDS Chibuzo Obi-Okoli, Olamide Jogunola, Bamidele Adebisi, Mohammad Hammoudeh
2022	—	`conf`	A Digital Twin Integrated Cyber-physical Systems for Community Energy Trading. SmartGridComm Yakubu Tsado, Olamide Jogunola, Femi O. Olatunji, Bamidele Adebisi
2022	J	`jnl`	Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices. IEEE Internet Things J. Segun I. Popoola, Ruth Ande, Bamidele Adebisi, Guan Gui, Mohammad Hammoudeh, Olamide Jogunola
2022	—	`conf`	Optimal Dynamic Multi-source Multi-community Power Schedule and Trading. SmartGridComm Olamide Jogunola, Bamidele Adebisi, Haris Gacanin, Mohammad Hammoudeh, Guan Gui
2022	J	`jnl`	VirtElect: A Peer-to-Peer Trading Platform for Local Energy Transactions. IEEE Internet Things J. Olamide Jogunola, Yakubu Tsado, Bamidele Adebisi, Mohammad Hammoudeh
2021	—	`conf`	Comparative Analysis of Hybrid Deep Learning Frameworks for Energy Forecasting. ICFNDS Olamide Jogunola, Abimbola Susan Ajagun, Bamidele Adebisi, Abiodun Musa Aibinu, John Adedapo Ojo
2021	J	`jnl`	Consensus Algorithms and Deep Reinforcement Learning in Energy Market: A Review. IEEE Internet Things J. Olamide Jogunola, Bamidele Adebisi, Augustine Ikpehai, Segun I. Popoola, Guan Gui, Haris Gacanin, Song Ci
2021	—	`conf`	Effect of Variability of Orders in an Auction-based Local Energy Market. ICFNDS Olamide Jogunola, Abimbola Susan Ajagun, Bamidele Adebisi, Craig Morley
2021	—	`conf`	Quantifying Self-consumption and Flexibility Provision through Battery Storage, a Deep Reinforcement Learning Approach. ICFNDS Yakubu Tsado, Olamide Jogunola, Raheel Nawaz, Guan Gui, Bamidele Adebisi
2020	J	`jnl`	Prosumers Matching and Least-Cost Energy Path Optimisation for Peer-to-Peer Energy Trading. IEEE Access Olamide Jogunola, Weizhuo Wang, Bamidele Adebisi
2019	—	`conf`	Demonstrating Blockchain-Enabled Peer-to-Peer Energy Trading and Sharing. CCECE Olamide Jogunola, Mohammad Hammoudeh, Bamidele Adebisi, Kelvin O. O. Anoh
2018	—	`conf`	Virtual microgrids: a management concept for peer-to-peer energy trading. ICFNDS Kelvin O. O. Anoh, Augustine Ikpehai, Dragana Bajovic, Olamide Jogunola, Bamidele Adebisi, Dejan Vukobratovic, Mohammad Hammoudeh
2017	—	`conf`	Cooperative Hybrid Wireless-Powerline Channel Transmission for Peer-to-Peer Energy Trading and Sharing System. ICFNDS Kelvin O. O. Anoh, Bamidele Adebisi, Olamide Jogunola, Mohammad Hammoudeh

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.