Pankaj Verma

16 papers A 1Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	STDSE-Net: A GIS-Driven AI Framework for Dynamic Ensemble-Based Energy Emission Prediction. IEEE Access Pankaj Verma, Krishna Gandhi, Salma Idris, Faten S. Alamri, Muhammad I. Khan
2025	J	`jnl`	A multi-agent deep Q-learning-based joint relay and jammer selection in dual-hop wireless networks. Ann. des Télécommunications Anil Kumar Kamboj, Poonam Jindal, Pankaj Verma
2025	A	`conf`	Spectrum Sensing in Cognitive Radio Using Transformer Based Deep Learning Architecture. DIS Pankaj Verma, Avi Porwal
2024	J	`jnl`	Multi-agent Q-learning algorithm-based relay and jammer selection for physical layer security improvement. Int. J. Wirel. Mob. Comput. Anil Kumar Kamboj, Poonam Jindal, Pankaj Verma
2024	J	`jnl`	Reinforcement learning-based secure joint relay and jammer selection in dual-hop wireless networks. J. Supercomput. Anil Kumar Kamboj, Poonam Jindal, Pankaj Verma
2022	—	`conf`	Machine Learning Approach for SPR based Photonic Crystal Fiber Sensor for Breast Cancer Cells Detection. RTSI Pankaj Verma, Amit Kumar, Poonam Jindal
2022	J	`jnl`	Power reserve control strategy of PV system for active power reserve under dynamic shading patterns. Array Pankaj Verma, Tarlochan Kaur
2021	J	`jnl`	Intelligent Physical Layer Secure Relay Selection for Wireless Cooperative Networks with Multiple Eavesdroppers. Wirel. Pers. Commun. Anil Kumar Kamboj, Poonam Jindal, Pankaj Verma
2021	J	`jnl`	Machine learning-based physical layer security: techniques, open challenges, and applications. Wirel. Networks Anil Kumar Kamboj, Poonam Jindal, Pankaj Verma
2020	J	`jnl`	Adaptive Threshold Based Energy Detection over Rayleigh Fading Channel. Wirel. Pers. Commun. Pankaj Verma
2019	—	`conf`	Weighted Eigenvalues based Spectrum Sensing for Cognitive Radio Systems. BDIOT Pankaj Verma, Brahmjit Singh
2018	J	`jnl`	Joint optimization of sensing duration and detection threshold for maximizing the spectrum utilization. Digit. Signal Process. Pankaj Verma, Brahmjit Singh
2018	—	`conf`	Oscillation Reduction in Frequency Response of a small Utility System using PV Generator. ICIIS Pankaj Verma, Tarlochan Kaur, Raminder Kaur
2017	J	`jnl`	On the decision fusion for cooperative spectrum sensing in cognitive radio networks. Wirel. Networks Pankaj Verma, Brahmjit Singh
2016	—	`conf`	On-Chip Delay Measurement Circuit for Reliability Characterization of SRAM. ISVLSI Pankaj Verma, Rohit Halba, Hemant Patel, Maryam Shojaei Baghini
2014	—	`conf`	Throughput analysis in cognitive radio networks. ICACCI Pankaj Verma, Brahmjit Singh

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.