Abhishek Bhatt

17 papers C 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Dcrff-Lhrf: an improvised methodology for efficient land-cover classification on eurosat dataset. Multim. Tools Appl. Abhishek Bhatt, Vandana Thakur
2024	J	`jnl`	Super Resolved Maize Plant Leaves Disease Detection Using Optimal Generative Adversarial Network. Int. J. Image Graph. Srinjoy Roy, D. Binu, B. R. Rajakumar, Vamsidhar Talasila, Abhishek Bhatt
2023	J	`jnl`	An Optimized Deep Belief Network for Land Cover Classification Using Synthetic-Aperture Radar Images and Landsat Images. Comput. J. Abhishek Bhatt, Vandana Thakur
2023	J	`jnl`	Computer vision-based predictive analysis of chronic cardiovascular disease using heartbeat features. Multim. Tools Appl. Abhishek Bhatt, Shruti Bhargava Choubey, Abhishek Choubey, Khushboo Pachori, Vandana Thakur
2023	J	`jnl`	Fruit type classification using deep learning and feature fusion. Comput. Electron. Agric. Harmandeep Singh Gill, Ganpathy Murugesan, Abolfazl Mehbodniya, Guna Sekhar Sajja, Gaurav Gupta, Abhishek Bhatt
2023	J	`jnl`	Optimized active contor segmentation model for medical image compression. Biomed. Signal Process. Control. Shabanam Shabbir Tamboli, Rajasekhar Butta, T. Sharad Jadhav, Abhishek Bhatt
2022	—	`conf`	A Deep Learning-Based Regression Scheme for Angle Estimation in Image Dataset. RTIP2R Tejal Rane, Abhishek Bhatt
2022	J	`jnl`	Adversarial synthesis based data-augmentation for code-switched spoken language identification. CoRR Parth Shastri, Chirag Patil, Poorval Wanere, Shrinivas P. Mahajan, Abhishek Bhatt, Hardik Sailor
2022	J	`jnl`	Automated glaucoma detection from fundus images using wavelet-based denoising and machine learning. Concurr. Eng. Res. Appl. Sibghatullah I. Khan, Shruti Bhargava Choubey, Abhishek Choubey, Abhishek Bhatt, Pandya Vyomal Naishadhkumar, Mohammed Mahaboob Basha
2022	J	`jnl`	Fruit recognition from images using deep learning applications. Multim. Tools Appl. Harmandeep Singh Gill, Ganpathy Murugesan, Baljit Singh Khehra, Guna Sekhar Sajja, Gaurav Gupta, Abhishek Bhatt
2022	J	`jnl`	iReTADS: An Intelligent Real-Time Anomaly Detection System for Cloud Communications Using Temporal Data Summarization and Neural Network. Secur. Commun. Networks Gotam Singh Lalotra, Vinod Kumar, Abhishek Bhatt, Tianhua Chen, Mufti Mahmud
2021	J	`jnl`	A Novel Security Technique Based on Controlled Pixel Based Encryption of Image Blocks for Sharing a Secret Image. Wirel. Pers. Commun. Neeraj Kumar Rathore, Dhiraj Pandey, Rumi Iqbal Doewes, Abhishek Bhatt
2019	—	`conf`	Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning Techniques. CLEF (Working Notes) M. Srinivas, Akshay Nayak, Abhishek Bhatt
2018	J	`jnl`	Spectral indices based object oriented classification for change detection using satellite data. Int. J. Syst. Assur. Eng. Manag. Abhishek Bhatt, S. K. Ghosh, Anil Kumar
2016	—	`conf`	Distributed image processing using Hadoop and HIPI. ICACCI Swapnil Arsh, Abhishek Bhatt, Praveen Kumar
2015	C	`conf`	Automated change detection in satellite images using machine learning algorithms for Delhi, India. IGARSS Abhishek Bhatt, Sanjay Kumar Ghosh, Anil Kumar
2015	—	`conf`	Spectral Indices Based Change Detection in an Urban Area Using Landsat Data. SocProS (2) Abhishek Bhatt, S. K. Ghosh, Anil Kumar

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.