Rajeev Kumar Gupta

32 papers C 6Journal 14Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Real-time lane detection for autonomous driving & GRAD-CAM visualization. Multim. Tools Appl. Rajeev Kumar Gupta, Devshree Jadeja, Yatendra Sahu, Nilesh Kunhare
2024	J	`jnl`	AI-enabled dental caries detection using transfer learning and gradient-based class activation mapping. J. Ambient Intell. Humaniz. Comput. Hardik Inani, Veerangi Mehta, Drashti Bhavsar, Rajeev Kumar Gupta, Arti Jain, Zahid Akhtar
2024	J	`jnl`	An explainable brain tumor detection and classification model using deep learning and layer-wise relevance propagation. Multim. Tools Appl. Saurabh Mandloi, Mohd Zuber, Rajeev Kumar Gupta
2023	J	`jnl`	A CNN-SVM based computer aided diagnosis of breast Cancer using histogram K-means segmentation technique. Multim. Tools Appl. Yatendra Sahu, Abhishek Tripathi, Rajeev Kumar Gupta, Pranav Gautam, Rajesh Kumar Pateriya, Abhishek Gupta
2023	J	`jnl`	Capturing uncertainties through log analysis using DevOps. Int. J. Data Min. Model. Manag. Rajeev Kumar Gupta, Arti Jain, Ruchika Kumar, Rajesh Kumar Pateriya
2023	—	`conf`	Comparative Analysis of Economy-Based Multivariate Oil Price Prediction Using LSTM. MIND Babita Pathik, Rajeev Kumar Gupta, Nikhlesh Pathik
2023	—	`conf`	Crop Yield Prediction Using Machine Learning Approaches. MIND Dhvanil Bhagat, Shrey Shah, Rajeev Kumar Gupta
2023	—	`conf`	Deep Learning Based EV's Charging Network Management. MIND Ishaan Mehta, Santosh Kumar Bharti, Rajeev Kumar Gupta
2023	—	`conf`	Efficient Medical Supply Chain Forecasting Using Time Series Analysis. CVMI Vaishvi Shah, Vivek Gupta, Tushya Gandhi, Rajeev Kumar Gupta
2023	—	`conf`	Facial Emotion Recognition (FER) using Convolutional Neural Network (CNN). ICMLDE Dhvanil Bhagat, Abhi Vakil, Rajeev Kumar Gupta, Abhijit Kumar
2023	—	`conf`	Glaucoma Classification Using Deep Learning and Image Processing. CVMI Ahmed Mulla, Manav Patel, Rajeev Kumar Gupta
2022	J	`jnl`	A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images. Int. J. Heal. Inf. Syst. Informatics Rajeev Kumar Gupta, Nilesh Kunhare, Rajesh Kumar Pateriya, Nikhlesh Pathik
2022	J	`jnl`	An AI-enabled pre-trained model-based Covid detection model using chest X-ray images. Multim. Tools Appl. Rajeev Kumar Gupta, Nilesh Kunhare, Nikhlesh Pathik, Babita Pathik
2022	J	`jnl`	COVID-19 Lesion Segmentation and Classification of Lung CTs Using GMM-Based Hidden Markov Random Field and ResNet 18. Int. J. Fuzzy Syst. Appl. Rajeev Kumar Gupta, Pranav Gautam, Rajesh Kumar Pateriya, Priyanka Verma, Yatendra Sahu
2022	J	`jnl`	Chaotic association feature extraction of big data clustering based on Internet of Things. Informatica (Slovenia) Xiaoming Liu, Rajeev Kumar Gupta, Edeh Michael Onyema
2022	J	`jnl`	Communication MWSN Data Transmission Mechanism Based on a Wireless Sensor Network. J. Sensors Wei Jin, Rajeev Kumar Gupta, Basant Tiwari
2022	J	`jnl`	Predicting Churn of Credit Card Customers Using Machine Learning and AutoML. Int. J. Inf. Technol. Proj. Manag. Rajeev Kumar Gupta, Santosh Kumar Bharti, Nikhlesh Pathik, Ashutosh Sharma
2022	J	`jnl`	Robot visual navigation estimation and target localization based on neural network. Paladyn J. Behav. Robotics Yanping Zhao, Rajeev Kumar Gupta, Edeh Michael Onyema
2022	—	`conf`	Sarcasm Detection in News Headlines using Voted Classification. IC3 Santosh Kumar Bharti, Rajeev Kumar Gupta, Nikhlesh Pathik, Ashish Mishra
2021	J	`jnl`	Deep Learning Based Mathematical Model for Feature Extraction to Detect Corona Virus Disease using Chest X-ray Images. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Rajeev Kumar Gupta, Yatendra Sahu, Nilesh Kunhare, Abhishek Gupta, Deo Prakash
2020	C	`conf`	Challenges in scaling AI-powered distributed software product: a case study of a healthcare organization. ICGSE Rajeev Kumar Gupta, Balaji B, Mekanathan V, Ferose Khan Jeberla
2019	C	`conf`	Challenges in adopting continuous delivery and DevOps in a globally distributed product team: a case study of a healthcare organization. ICGSE Rajeev Kumar Gupta, Mekanathan Venkatachalapathy, Ferose Khan Jeberla
2019	—	`conf`	Key Factors in Scaling up Agile Team in Matrix Organization. ISEC Rajeev Kumar Gupta, Shivani Jain, Bharat Singh, Sanjay Kumar Jha
2018	C	`conf`	Challenges in scaling up a globally distributed legacy product: a case study of a matrix organization. ICGSE Rajeev Kumar Gupta, Shivani Jain, Bharat Singh
2017	J	`jnl`	Balance Resource Utilization (BRU) Approach for the Dynamic Load Balancing in Cloud Environment by Using AR Prediction Model. J. Organ. End User Comput. Rajeev Kumar Gupta, Rajesh Kumar Pateriya
2017	C	`conf`	Knowledge Transfer for Global Roles in GSE. ICGSE Rajeev Kumar Gupta, Tulasi Anand
2017	—	`conf`	Pragmatic Scrum Transformation: Challenges, Practices & Impacts During the Journey A case study in a multi-location legacy software product development team. ISEC Rajeev Kumar Gupta, Prabhulinga Manikreddy, K. C. Arya
2016	—	`conf`	Adapting Agile in a Globally Distributed Software Development. HICSS Rajeev Kumar Gupta, Prabhulinga Manik Reddy
2016	C	`conf`	Challenges in Adapting Agile Testing in a Legacy Product. ICGSE Rajeev Kumar Gupta, Prabhulinga Manikreddy, Abhinandan G. V.
2016	—	`conf`	Pragmatic Approach for Managing Technical Debt in Legacy Software Project. ISEC Rajeev Kumar Gupta, Prabhulinga Manikreddy, Sandesh Naik, Kavi Arya
2015	C	`conf`	Challenges in Adapting Scrum in Legacy Global Configurator Project. ICGSE Rajeev Kumar Gupta, Prabhulinga Manikreddy
2014	—	`conf`	Distributed Implementation of Latent Rating Pattern Sharing Based Cross-domain Recommender System Approach. BigData Congress Anil Kumar, Vikas Kapur, Apangshu Saha, Rajeev Kumar Gupta, Arun Singh, Santanu Chaudhury, Sumeet Agarwal

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.