Urvashi Sharma

13 papers Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ACAMR: AI-Enabled Communication Algorithm in ROS to Improve Mobile Robot Connectivity in Internet of Robotic Things for AMVs. J. Intell. Robotic Syst. Urvashi Sharma, Shalli Rani, Mohammad Shabaz
2025	J	`jnl`	Fibonacci numbers and n-color compositions. Contributions Discret. Math. Rachna Sachdeva, Bharti Gupta, Urvashi Sharma
2023	J	`jnl`	Ethical behavior a thought for defining loyalty in an offline. Int. J. Syst. Assur. Eng. Manag. Namita Rajput, Urvashi Sharma, Baljeet Kaur, Korakod Tongkachok, Venkata Harshavardha Reddy Dornadula, Dharini Raje Sisodia
2022	J	`jnl`	DBGC: Dimension-Based Generic Convolution Block for Object Recognition. Sensors Chirag I. Patel, Dulari Bhatt, Urvashi Sharma, Radhika Patel, Sharnil Pandya, Kirit Modi, Nagaraj G. Cholli, Akash Patel, Urvi Bhatt, Muhammad Ahmed Khan, Shubhankar Majumdar, Mohd. Zuhair, Khushi Patel, Syed Aziz Shah, Hemant Ghayvat
2022	J	`jnl`	Lossless compression of biomedical images using block-based arithmetic encoding employing resolution independent gradient edge detector. Int. J. Comput. Aided Eng. Technol. Urvashi Sharma, Meenakshi Sood, Emjee Puthooran
2021	J	`jnl`	Region of Interest-Based Coding Technique of Medical Images Using Varying Grading of Compression. Int. J. Image Graph. Urvashi Sharma, Meenakshi Sood, Emjee Puthooran
2021	J	`jnl`	Region of interest based selective coding technique for volumetric MR image sequence. Multim. Tools Appl. Urvashi Sharma, Meenakshi Sood, Emjee Puthooran
2020	J	`jnl`	A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment. J. Digit. Imaging Urvashi Sharma, Meenakshi Sood, Emjee Puthooran
2020	J	`jnl`	A Block-Based Arithmetic Entropy Encoding Scheme for Medical Images. Int. J. Heal. Inf. Syst. Informatics Urvashi Sharma, Meenakshi Sood, Emjee Puthooran, Yugal Kumar
2020	J	`jnl`	Volumetric medical image compression using inter-slice correlation switched prediction approach. Int. J. Imaging Syst. Technol. Urvashi Sharma, Meenakshi Sood, Emjee Puthooran
2014	J	`jnl`	Designing effective visualizations of habits data to aid clinical decision making. BMC Medical Informatics Decis. Mak. Joost de Folter, Hulya Gokalp, Joanna Fursse, Urvashi Sharma, Malcolm Clarke
2012	—	`conf`	Challenges in evaluating telehealth through RCT-the problem of randomization. MIE Urvashi Sharma, Julie E. Reed, Cathal Doyle, Derek Bell
2010	—	`conf`	Clinical users' perspective on telemonitoring of patients with long term conditions: understood through concepts of Giddens's structuration theory & consequence of modernity. MedInfo Urvashi Sharma, Julie Barnett, Malcolm Clarke

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.