Farid U. Dowla

14 papers Misc 5Journal 5Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Optimal Communication System With Power Control and Ultra-Wideband Propagation Channel Model Designs for Monitoring Harsh Through-Wall Environments. IEEE Access Xiangjian Gao, Hamid R. Sadjadpour, Farid U. Dowla, Faranak Nekoogar
2020	J	`jnl`	Use of Doppler and Doppler Rate for RF Geolocation Using a Single LEO Satellite. IEEE Access Patrick Ellis, Donald Van Rheeden, Farid U. Dowla
2018	—	`conf`	A Single Satellite Geolocation Solution of an RF Emitter Using a Constrained Unscented Kalman Filter. SSP Patrick Ellis, Farid U. Dowla
2018	—	`conf`	Performance Bounds of a Single LEO Satellite Providing Geolocation of an RF Emitter. ASMS/SPSC Patrick Ellis, Farid U. Dowla
2013	—	`conf`	Location-based tracking using long-range passive RFID and ultrawideband communications. Multimedia Content and Mobile Devices Faranak Nekoogar, Farid U. Dowla
2012	—	`conf`	Ultra-wideband RF systems for harsh propagation environments. ICUWB Faranak Nekoogar, Farid U. Dowla
1991	J	`jnl`	Backpropagation Learning for Multilayer Feed-Forward Neural Networks Using the Conjugate Gradient Method. Int. J. Neural Syst. Erik M. Johansson, Farid U. Dowla, Dennis M. Goodman
1991	J	`jnl`	Ship wake-detection procedure using conjugate gradient trained artificial neural networks. IEEE Trans. Geosci. Remote. Sens. J. Patrick Fitch, Sean K. Lehman, Farid U. Dowla, S. Y. Lu, Erik M. Johansson, Dennis M. Goodman
1987	Misc	`conf`	Direction estimation of vector-planewave fields. ICASSP Farid U. Dowla, David B. Harris
1985	J	`jnl`	Direction determination of wideband signals. IEEE Trans. Acoust. Speech Signal Process. S. Hamid Nawab, Farid U. Dowla, R. T. Lacoss
1985	Misc	`conf`	Resolution property of the improved maximum likelihood method. ICASSP Farid U. Dowla, Jae S. Lim
1984	Misc	`conf`	A new method for wideband sensor array processing. ICASSP S. Hamid Nawab, Farid U. Dowla, R. T. Lacoss
1984	Misc	`conf`	Relationship between maximum-likelihood-method and autoregressive modeling in multidimensional power spectrum estimation. ICASSP Farid U. Dowla, Jae S. Lim
1983	Misc	`conf`	Improved maximum likelihood method for two-dimensional spectral estimation. ICASSP Jae S. Lim, Farid U. Dowla

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.