Sandeep Kumar Yadav

34 papers B 1C 3Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scene Representation using 360° Saliency Graph and its Application in Vision-based Indoor Navigation. CoRR Preeti Meena, Himanshu Kumar, Sandeep Kumar Yadav
2025	J	`jnl`	PNN: A Novel Progressive Neural Network for Fault Classification in Rotating Machinery under Small Dataset Constraint. CoRR Praveen Chopra, Himanshu Kumar, Sandeep Kumar Yadav
2025	J	`jnl`	Scene Inference Using Saliency Graphs With Trust-Theoretic Semantic Information Encoding. IEEE Signal Process. Lett. Preeti Meena, Himanshu Kumar, Sandeep Kumar Yadav
2024	J	`jnl`	A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification. CoRR Preeti Meena, Himanshu Kumar, Sandeep Kumar Yadav
2024	J	`jnl`	A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification. IEEE Trans. Circuits Syst. Video Technol. Preeti Meena, Himanshu Kumar, Sandeep Kumar Yadav
2024	B	`conf`	An Indoor Scene Localization Method Using Graphical Summary of Multi-View RGB-D Images. ICIP Preeti Meena, Himanshu Kumar, Sandeep Kumar Yadav
2024	—	`conf`	Modulation Classification in NOMA Systems using Lightweight Dual-Pooling CNN with Superposed Constellation Density Grids (SCDGs). VTC Fall Surbhi Gehlot, Narendra Kumar, Suraj Srivastava, Sandeep Kumar Yadav
2024	—	`conf`	ResCNNGRU: A Hybrid Deep Learning Based Algorithm for Modulation Classification in NOMA Systems. ANTS Surbhi Gehlot, Narendra Kumar, Suraj Srivastava, Sandeep Kumar Yadav
2023	J	`jnl`	A review on video summarization techniques. Eng. Appl. Artif. Intell. Preeti Meena, Himanshu Kumar, Sandeep Kumar Yadav
2023	C	`conf`	An Integrated Circuit of A Cold Start-up Circuit for A Thermoelectric Energy Harvesting System. ISCAS Xin-Hao Yu, Po-Wei Lin, Cheng-Yang Hsu, Sandeep Kumar Yadav, Zu-Jia Lo, Sheng-Yu Peng
2023	J	`jnl`	Corona product of signed graphs and its application to modeling signed networks. Discret. Math. Algorithms Appl. Bibhas Adhikari, Amrik Singh, Sandeep Kumar Yadav
2023	—	`conf`	Prediction of Muscle Power in Elderly Using Functional Screening Data. MIPR Vivek Vijay, Brajesh K. Shukla, Sandeep Kumar Yadav, Pankaj Yadav
2022	—	`conf`	Advantages of Oversampling Techniques: A Case Study in Risk Factors for Fall Prediction. ICT4AWE (Revised Selected Papers) Gulshan Sihag, Pankaj Yadav, Vivek Vijay, Véronique Delcroix, Xavier Siebert, Sandeep Kumar Yadav, François Puisieux
2022	J	`jnl`	Blind Signal Modulation Classification Using Constellation Pattern Analysis with Oversampling Factor Alteration. Wirel. Pers. Commun. Yogesh Kumar, Gaurav Jajoo, Ashok Kumar, Sandeep Kumar Yadav
2022	C	`conf`	Evaluation of Risk Factors for Fall in Elderly People from Imbalanced Data using the Oversampling Technique SMOTE. ICT4AWE Gulshan Sihag, Pankaj Yadav, Véronique Delcroix, Vivek Vijay, Xavier Siebert, Sandeep Kumar Yadav, François Puisieux
2022	J	`jnl`	Spectrum sensing in cognitive radio networks and metacognition for dynamic spectrum sharing between radar and communication system: A review. Phys. Commun. Sumit Kumar Agrawal, Abhay Samant, Sandeep Kumar Yadav
2021	J	`jnl`	Regulation of Electric Vehicle Speed Oscillations Due to Uneven Drive Surfaces Using ISMDTC. IEEE Trans. Veh. Technol. Shivam Chaturvedi, Rammohan R. Makineni, Deepak M. Fulwani, Sandeep Kumar Yadav
2020	—	`conf`	A Fusion-Based Approach to Identify the Phases of the Sit-to-Stand Test in Older People. NCC Brajesh K. Shukla, Hiteshi Jain, Vivek Vijay, Sandeep Kumar Yadav, David J. Hewson
2020	J	`jnl`	Automatic Modulation Classification Based on Constellation Density Using Deep Learning. IEEE Commun. Lett. Yogesh Kumar, Manu Sheoran, Gaurav Jajoo, Sandeep Kumar Yadav
2020	J	`jnl`	Blind Signal Modulation Recognition through Density Spread of Constellation Signature. Wirel. Pers. Commun. Gaurav Jajoo, Yogesh Kumar, Ashok Kumar, Sandeep Kumar Yadav
2020	J	`jnl`	Implementation of modulation classifier over software defined radio. IET Commun. Gaurav Jajoo, Yogesh Kumar, Ashok Kumar, Sandeep Kumar Yadav
2019	J	`jnl`	Blind Signal PSK/QAM Recognition Using Clustering Analysis of Constellation Signature in Flat Fading Channel. IEEE Commun. Lett. Gaurav Jajoo, Yogesh Kumar, Sandeep Kumar Yadav
2019	J	`jnl`	Corona product of signed graphs and its application to signed network modelling. CoRR Bibhas Adhikari, Amrik Singh, Sandeep Kumar Yadav
2019	C	`conf`	Distribution Feeder Protection Using Uncorrelated Symmetrical Dot Patterns. TENCON Mahmood Shaik, Sandeep Kumar Yadav, Abdul Gafoor Shaik
2019	J	`jnl`	From Sharma-Mittal to von-Neumann Entropy of a Graph. CoRR Souma Mazumdar, Amrik Singh, Supriyo Dutta, Sandeep Kumar Yadav, Partha Guha
2018	—	`conf`	Blind Signal Digital Modulation Classification through k-medoids Clustering. ANTS Gaurav Jajoo, Yogesh Kumar Yadav, Sandeep Kumar Yadav
2017	J	`jnl`	A cross layer protocol to mitigate effects of radio's linear impairments. Int. J. Inf. Commun. Technol. Abhay Samant, Sandeep Kumar Yadav, Venkataramana Badarla, Shirish Mishra
2017	J	`jnl`	Blind signal modulation recognition through clustering analysis of constellation signature. Expert Syst. Appl. Gaurav Jajoo, Yogesh Kumar, Sandeep Kumar Yadav, Bibhas Adhikari, Ashok Kumar
2017	—	`conf`	Fault Diagnosis of Internal Combustion Engine Using Empirical Mode Decomposition and Artificial Neural Networks. ICIC (3) Md. Shiblee, Sandeep Kumar Yadav, B. Chandra
2015	—	`conf`	Latency and cost requirements of systems for teaching MAC protocols. NCC Abhay Samant, Venkataramana Badarla, Sandeep Kumar Yadav, Mythili Vutukuru, Paul Khanna, Erik Luther
2013	—	`conf`	Development of a monitoring system for physical frailty in independent elderly. EMBC David J. Hewson, Rana Jaber, Aly Chkeir, Ali Hammoud, Dhruv Gupta, Jennifer Bassement, Joan Vermeulen, Sandeep Kumar Yadav, Luc P. de Witte, Jacques Duchêne
2011	J	`jnl`	Audio Signature-Based Condition Monitoring of Internal Combustion Engine Using FFT and Correlation Approach. IEEE Trans. Instrum. Meas. Sandeep Kumar Yadav, Kanishka Tyagi, B. Shah, Prem Kumar Kalra
2011	—	`ch.`	Condition Monitoring and Fault Diagnosis Using Intelligent Techniques. Integration of Swarm Intelligence and Artificial Neural Network Sandeep Kumar Yadav, Vrijendra Singh, Prem Kumar Kalra
2010	—	`ch.`	Condition Monitoring of Internal Combustion Engine Using EMD and HMM. Intelligent Autonomous Systems Sandeep Kumar Yadav, Prem Kumar Kalra

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.