Adnan Ahmad Cheema

13 papers Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Channel Estimation for Reconfigurable Intelligent Surface-Aided 6G NOMA Systems: A Quantum Machine Learning Approach. IEEE Trans. Netw. Sci. Eng. Nhien Q. T. Thoong, Adnan Ahmad Cheema, Berk Canberk, Dung Thanh Tran, Octavia A. Dobre, Trung Q. Duong
2026	J	`jnl`	Low-Complexity Multi-Step Signal Prediction for Underwater Acoustic Communications: A Joint Reservoir Computing and Transfer Learning Approach. IEEE Open J. Commun. Soc. Senthan Prasanth, Adnan Ahmad Cheema, Gökhan Seçinti, Dac-Binh Ha, Berk Canberk, Octavia A. Dobre, Trung Q. Duong
2025	J	`jnl`	Air Quality and Healthy Ageing: Predictive Modeling of Pollutants Using CNN Quantum-LSTM. IEEE Access Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Bradley D. E. McNiven, Tuan Vu Cao, Ruth F. Hunter, Trung Q. Duong
2025	—	`conf`	Deep Learning for Channel Estimation of 6G RIS-NOMA Systems with Hardware Impairments. ICC Workshops Nhien Q. T. Thoong, Adnan Ahmad Cheema, Saeed R. Khosravirad, Octavia A. Dobre, Trung Q. Duong
2024	—	`conf`	Channel Estimation for Reconfigurable Intelligent Surface-aided 6G NOMA Systems using CNN-based Quantum LSTM Model. VTC Fall Nhien Q. T. Thoong, Adnan Ahmad Cheema, Saeed R. Khosravirad, Octavia A. Dobre, Trung Q. Duong
2024	J	`jnl`	Comprehensive Analysis of Magnetic Flux Density and RF-EMF Exposure in Electric Buses: A Case Study from Samsun, Turkey. Sensors Zafer Albayrak, Çetin Kurnaz, Teoman Karadag, Adnan Ahmad Cheema
2024	J	`jnl`	Deep Learning Models for Time-Series Forecasting of RF-EMF in Wireless Networks. IEEE Open J. Commun. Soc. Chi Nguyen, Adnan Ahmad Cheema, Çetin Kurnaz, Ardavan Rahimian, Conor Brennan, Trung Q. Duong
2024	J	`jnl`	Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond. IEEE Open J. Commun. Soc. Sajjad Hussain, Syed Faraz Naeem Bacha, Adnan Ahmad Cheema, Berk Canberk, Trung Q. Duong
2024	J	`jnl`	Modeling RF-EMF at Sports Events: User Density Impact. IEEE Access Begum Korunur Engiz, Çetin Kurnaz, Adnan Ahmad Cheema, Masood Ur Rehman
2024	J	`jnl`	Two-Stage Feature Engineering to Predict Air Pollutants in Urban Areas. IEEE Access Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Nguyen Trung Viet, Tuan Vu Cao, Ruth F. Hunter, Trung Q. Duong
2021	J	`jnl`	A Deep Neural Network-Based Multi-Frequency Path Loss Prediction Model from 0.8 GHz to 70 GHz. Sensors Chi Nguyen, Adnan Ahmad Cheema
2020	J	`jnl`	A survey of radio propagation channel modelling for low altitude flying base stations. Comput. Networks Abrar Ahmad, Adnan Ahmad Cheema, Dewar D. Finlay
2019	J	`jnl`	Radio Channel Characterization of Mid-Band 5G Service Delivery for Ultra-Low Altitude Aerial Base Stations. IEEE Access Philip A. Catherwood, Brendan Black, Ebrahim Bedeer, Adnan Ahmad Cheema, Joseph Rafferty, James A. D. McLaughlin

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.