Tathagato Rai Dastidar

17 papers C 1Misc 2Journal 6Unranked 8

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization. CoRR Abhishek Kushwaha, Sarthak Gupta, Anish Bhanushali, Tathagato Rai Dastidar
2020	—	`conf`	Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization. CVPR Workshops Abhishek Kushwaha, Sarthak Gupta, Anish Bhanushali, Tathagato Rai Dastidar
2020	J	`jnl`	Target-Independent Domain Adaptation for WBC Classification Using Generative Latent Search. IEEE Trans. Medical Imaging Prashant Pandey, Prathosh A. P., Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar
2020	J	`jnl`	Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search. CoRR Prashant Pandey, Prathosh AP, Vinay Kyatham, Deepak Mishra, Tathagato Rai Dastidar
2019	—	`conf`	Automated Focus Distance Estimation for Digital Microscopy Using Deep Convolutional Neural Networks. CVPR Workshops Tathagato Rai Dastidar
2019	—	`conf`	Learning A Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution. ISBI Francis Tom, Himanshu Sharma, Dheeraj Mundhra, Tathagato Rai Dastidar, Debdoot Sheet
2019	J	`jnl`	Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution. CoRR Francis Tom, Himanshu Sharma, Dheeraj Mundhra, Tathagato Rai Dastidar, Debdoot Sheet
2018	—	`conf`	Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning. ISBI Abhishek Vahadane, Ameya Joshi, Kiran Madan, Tathagato Rai Dastidar
2018	—	`conf`	Estimation of Sperm Concentration and Total Motility From Microscopic Videos of Human Semen Samples. CVPR Workshops Karan Dewan, Tathagato Rai Dastidar, Maroof Ahmad
2018	—	`conf`	Improved Extraction of Objects From Urine Microscopy Images With Unsupervised Thresholding and Supervised U-Net Techniques. CVPR Workshops Abdul Aziz, Harshit Pande, Bharath Cheluvaraju, Tathagato Rai Dastidar
2018	—	`conf`	Weakly supervised fluid filled region localization in retinal OCT scans. ISBI Shahrukh Athar, Abhishek Vahadane, Ameya Joshi, Tathagato Rai Dastidar
2017	—	`conf`	Analyzing Microscopic Images of Peripheral Blood Smear Using Deep Learning. DLMIA/ML-CDS@MICCAI Dheeraj Mundhra, Bharath Cheluvaraju, Jaiprasad Rampure, Tathagato Rai Dastidar
2008	C	`conf`	A methodology for efficient design of analog circuits using an automated simulation based synthesis tool. ISCAS Amal Kumar Kundu, I. Kharagpur, Tathagato Rai Dastidar, Tarun Kanti Bhattacharyya, Partha Ray
2007	J	`jnl`	A verification system for transient response of analog circuits. ACM Trans. Design Autom. Electr. Syst. Tathagato Rai Dastidar, P. P. Chakrabarti
2006	Misc	`conf`	A New Device Level Digital Simulator for Simulation and Functional Verification of Large Semiconductor Memories. VLSI Design Tathagato Rai Dastidar, Partha Ray
2005	Misc	`conf`	A Verification System for Transient Response of Analog Circuits Using Model Checking. VLSI Design Tathagato Rai Dastidar, P. P. Chakrabarti
2005	J	`jnl`	A synthesis system for analog circuits based on evolutionary search and topological reuse. IEEE Trans. Evol. Comput. Tathagato Rai Dastidar, P. P. Chakrabarti, Partha Ray

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.