Daljeet Singh

32 papers Journal 19Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A comprehensive survey on software-defined wide area network (SD-WAN): principles, opportunities and future challenges.
J. Supercomput.
Mohamed Amine Ouamri, Turki E. A. Alharbi, Daljeet Singh, Sylia Zenadji
2025 J jnl
CARRAS: Combined AOA and RBFNN for Resource Allocation in Single Site 5G Network.
IEEE Trans. Netw. Serv. Manag.
Numidia Zaidi, Sylia Zenadji, Mohamed Amine Ouamri, Daljeet Singh, F. Hamida Abdelhak
2025 — conf
Coverage Analysis for Unmanned Aerial Vehicle Assisted 5G Network Over Fox's H Channel.
ICC
Mohamed Amine Ouamri, Daljeet Singh, Yacine Benallouche
2025 J jnl
Machine Learning Regressors Calibrated on Computed Data for Road Traffic Noise Prediction.
Mach. Learn. Knowl. Extr.
Domenico Rossi, Aurora Mascolo, Daljeet Singh, Claudio Guarnaccia
2025 J jnl
Microwave Technique for Brain Monitoring: State of the Art, Promising Applications, Challenges, and Future Directions.
IEEE Access
Daljeet Singh, Mariella Särestöniemi, Teemu Myllylä
2025 — conf
Microwave Technique for Skull Fracture Detection: A Comparative Study with three UWB antennas.
ISMICT
Emmi Kaivanto, Daljeet Singh, Mikael von und zu Fraunberg, Jarmo Reponen, Teemu Myllylä, Ping Jack Soh, Mariella Särestöniemi
2024 — conf
A Hybrid Images Deep Trained Feature Extraction and Ensemble Learning Models for Classification of Multi Disease in Fundus Images.
NCDHWS (2)
Jyoti Verma, Isha Kansal, Renu Popli, Vikas Khullar, Daljeet Singh, Manish Snehi, Rajeev Kumar
2024 — conf
A Novel Adaptive Spreading Waveform for Integrated Sensing and Communication.
JC&S
Daljeet Singh, Atul Kumar, Hem Dutt Joshi, Ashutosh Kumar Singh, Mariella Särestöniemi, Teemu Myllylä, Maurizio Magarini
2024 — conf
A Novel Multicarrier Modulation for Integrated Sensing and Communication in Sub-THz Band.
NCC
Daljeet Singh, Atul Kumar, Hem Dutt Joshi, Ashutosh Kumar Singh, Mariella Särestöniemi, Teemu Myllylä, Maurizio Magarini
2024 — ed.
Digital Health and Wireless Solutions - First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part I
NCDHWS (1)
Mariella Särestöniemi, Pantea Keikhosrokiani, Daljeet Singh, Erkki Harjula, Aleksei Tiulpin, Miia Jansson, Minna Isomursu, Mark J. van Gils, Simo Saarakkala, Jarmo Reponen
2024 — ed.
Digital Health and Wireless Solutions - First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7-8, 2024, Proceedings, Part II
NCDHWS (2)
Mariella Särestöniemi, Pantea Keikhosrokiani, Daljeet Singh, Erkki Harjula, Aleksei Tiulpin, Miia Jansson, Minna Isomursu, Mark J. van Gils, Simo Saarakkala, Jarmo Reponen
2024 — conf
Digital Twins for Development of Microwave-Based Brain Tumor Detection.
NCDHWS (1)
Mariella Särestöniemi, Daljeet Singh, Charline Heredia, Juha Nikkinen, Mikael von und zu Fraunberg, Teemu Myllylä
2024 J jnl
Generalized Adaptive Spreading Modulation: A Novel Waveform for Integrated Sensing and Communication Oriented Vehicular Applications.
IEEE Internet Things J.
Daljeet Singh, Atul Kumar, Hem Dutt Joshi, Ashutosh Kumar Singh, Waqar Anwar, Teemu Myllylä, Maurizio Magarini, Lewis Nkenyereye, Kapal Dev
2024 — conf
Microwave Technique Based Noninvasive Monitoring of Intracranial Pressure Using Realistic Phantom Models.
NCDHWS (2)
Daljeet Singh, Erkki Vihriälä, Mariella Särestöniemi, Teemu Myllylä
2024 J jnl
Next-Gen Connectivity: Exploring UAV Swarm Applications in Cell-Free Massive MIMO for IIoT.
IEEE Access
Reem Alkanhel, Ghada Atteia, Mohamed Amine Ouamri, Mohammed Saleh Ali Muthanna, Daljeet Singh, Ahmed A. Abd El-Latif, Ammar Muthanna
2024 — conf
Preliminary Studies on mm-Wave Radar for Vital Sign Monitoring of Driver in Vehicular Environment.
NCDHWS (2)
Daljeet Singh, Theresa Eleonye, Lukasz Surazynski, Hany Ferdinando, Atul Kumar, Hem Dutt Joshi, Mariella Särestöniemi, Teemu Myllylä
2024 J jnl
Realistic 3D Phantoms for Validation of Microwave Sensing in Health Monitoring Applications.
Sensors
Mariella Särestöniemi, Daljeet Singh, Rakshita Dessai, Charline Heredia, Sami Myllymäki, Teemu Myllylä
2023 J jnl
Double Deep Q-Network Method for Energy Efficiency and Throughput in a UAV-Assisted Terrestrial Network.
Comput. Syst. Sci. Eng.
Mohamed Amine Ouamri, Reem Alkanhel, Daljeet Singh, El-Sayed M. El-Kenawy, Sherif S. M. Ghoneim
2023 J jnl
Joint Energy Efficiency and Throughput Optimization for UAV-WPT Integrated Ground Network Using DDPG.
IEEE Commun. Lett.
Mohamed Amine Ouamri, Yasmina Machter, Daljeet Singh, Dina Alkama, Xingwang Li
2023 J jnl
Nonlinear Energy-Harvesting for D2D Networks Underlaying UAV With SWIPT Using MADQN.
IEEE Commun. Lett.
Mohamed Amine Ouamri, Gordana Barb, Daljeet Singh, Abuzar B. M. Adam, Mohammed Saleh Ali Muthanna, Xingwang Li
2023 J jnl
Performance analysis of UAV multiple antenna-assisted small cell network with clustered users.
Wirel. Networks
Mohamed Amine Ouamri, Daljeet Singh, Mohammed Saleh Ali Muthanna, Ahcène Bounceur, Xingwang Li
2023 J jnl
Request delay and survivability optimization for software defined-wide area networking (SD-WAN) using multi-agent deep reinforcement learning.
Trans. Emerg. Telecommun. Technol.
Mohamed Amine Ouamri, Mohamed Azni, Daljeet Singh, Waleed Almughalles, Mohammed Saleh Ali Muthanna
2022 J jnl
Performance Analysis of Wireless Power Transfer Enabled Dual Hop Relay System Under Generalised Fading Scenarios.
IEEE Access
Daljeet Singh, Mohamed Amine Ouamri, Mohammed S. Alzaidi, Turki E. A. Alharbi, Sherif S. M. Ghoneim
2021 J jnl
Development of an adaptive neuro fuzzy inference system based vehicular traffic noise prediction model.
J. Ambient Intell. Humaniz. Comput.
Daljeet Singh, Rahul Upadhyay, Husanbir Singh Pannu, Dimitri Leray
2021 J jnl
Online Monitoring Technology of Power Transformer based on Vibration Analysis.
J. Intell. Syst.
Junhong Meng, Maninder Singh, Manish Sharma, Daljeet Singh, Preet Kaur, Rajeev Kumar
2021 J jnl
Performance Analysis of Target Information Recognition System for Agricultural Robots.
Int. J. Agric. Environ. Inf. Syst.
Yun Ji, Rajeev Kumar, Daljeet Singh, Maninder Singh
2019 J jnl
Symbol Error Rate Analysis of OFDM System with CFO Over TWDP Fading Channel.
Wirel. Pers. Commun.
Daljeet Singh, Atul Kumar, Hem Dutt Joshi, Maurizio Magarini, Rajiv Saxena
2018 — conf
BER Analysis of SFBC-OFDM System with Different Detection Schemes over Fading Channels.
ISWCS
Daljeet Singh, Hem Dutt Joshi
2018 J jnl
Performance analysis of SFBC-OFDM system with channel estimation error over generalized fading channels.
Trans. Emerg. Telecommun. Technol.
Daljeet Singh, Hem Dutt Joshi
2016 J jnl
BER Performance of SFBC OFDM System Over TWDP Fading Channel.
IEEE Commun. Lett.
Daljeet Singh, Hem Dutt Joshi
2011 — conf
Measuring Cohesion and Coupling of Sequence Diagram Using Program Slicing.
SPIT/IPC
Daljeet Singh, Sunint Kaur Khalsa
2007 — conf
Reception and Measurement of MIMO-OFDM Signals with a Single Receiver.
VTC Fall
Mustafa Emin Sahin, Hüseyin Arslan, Daljeet 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.