Parag Havaldar

13 papers A* 2B 1Journal 3Unranked 7

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	An Animator-Friendly Chain Simulator for In-Game Animations at Blizzard Entertainment. SIGGRAPH Talks Funshing Sin, Vinod Melapudi, Parag Havaldar
2023	—	`conf`	Simplifying Facial Animation using Deep Learning based Phoneme Recognition. SIGGRAPH Talks Vladimir Ivanov, Parag Havaldar
2021	—	`conf`	Real Time Interactive Deformer Rig Evaluations in Maya using GPUs. SIGGRAPH Talks Funshing Sin, Parag Havaldar, Vinod Melapudi
2021	—	`conf`	Time and Memory Efficient Displacement Map Extraction. SIGGRAPH Talks Vinod Melapudi, Parag Havaldar
2017	—	`conf`	The academy's scientific and technical awards: the technology, the awardees, and the process. SIGGRAPH Panels Barbara Ford Grant, Doug Roble, Brian Whited, Parag Havaldar, Geoff Wedig, Luca Fascione, Larry Gritz, Maurice van Swaaij, Marcos Fajardo, Paige Warner, Vladimir Koylazov, Diane Piepol
2006	—	`conf`	Sony Pictures Imageworks. SIGGRAPH Courses Parag Havaldar
1998	J	`jnl`	Full Volumetric Descriptions From Three Intensity Images. IEEE Trans. Pattern Anal. Mach. Intell. Parag Havaldar, Gérard G. Medioni
1997	J	`jnl`	Synthesizing Novel Views from Unregistered 2-D Images. Comput. Graph. Forum Parag Havaldar, Mi-Suen Lee, Gérard G. Medioni
1996	A*	`conf`	Inference of segmented, volumetric shape from three intensity images. CVPR Parag Havaldar, Gérard G. Medioni
1996	J	`jnl`	Perceptual grouping for generic recognition. Int. J. Comput. Vis. Parag Havaldar, Gérard G. Medioni, Fridtjof Stein
1996	B	`conf`	View Synthesis from Unregistered 2-D Images. Graphics Interface Parag Havaldar, Mi-Suen Lee, Gérard G. Medioni
1995	A*	`conf`	Segmented Shape Descriptions from 3-View Stereo. ICCV Parag Havaldar, Gérard G. Medioni
1994	—	`conf`	Extraction Of Groups For Recognition. ECCV (1) Parag Havaldar, Gérard G. Medioni, Fridtjof Stein

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.