Aayush Dhakal - RankMe

27 papers A* 2A 3C 2Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GeoDiT: Point-Conditioned Diffusion Transformer for Satellite Image Synthesis. CoRR Srikumar Sastry, Dan Cher, Brian Wei, Aayush Dhakal, Subash Khanal, Dev Gupta, Nathan Jacobs
2026	J	`jnl`	SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images. CoRR Aayush Dhakal, Subash Khanal, Srikumar Sastry, Jacob Arndt, Philipe Ambrozio Dias, Dalton D. Lunga, Nathan Jacobs
2025	J	`jnl`	Global and Local Entailment Learning for Natural World Imagery. CoRR Srikumar Sastry, Aayush Dhakal, Eric Xing, Subash Khanal, Nathan Jacobs
2025	J	`jnl`	ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology. CoRR Srikumar Sastry, Subash Khanal, Aayush Dhakal, Jiayu Lin, Dan Cher, Phoenix Jarosz, Nathan Jacobs
2025	A*	`conf`	RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings. CVPR Aayush Dhakal, Srikumar Sastry, Subash Khanal, Adeel Ahmad, Eric Xing, Nathan Jacobs
2025	J	`jnl`	RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings. CoRR Aayush Dhakal, Srikumar Sastry, Subash Khanal, Adeel Ahmad, Eric Xing, Nathan Jacobs
2025	J	`jnl`	Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping. CoRR Subash Khanal, Srikumar Sastry, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs
2025	A	`conf`	TaxaBind: A Unified Embedding Space for Ecological Applications. WACV Srikumar Sastry, Subash Khanal, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs
2024	C	`conf`	Aligning Geo-Tagged Clip Representations and Satellite Imagery for Few-Shot Land Use Classification. IGARSS Pallavi Jain, Diego Marcos, Dino Ienco, Roberto Interdonato, Aayush Dhakal, Nathan Jacobs, Tristan Berchoux
2024	A	`conf`	BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping. WACV Srikumar Sastry, Subash Khanal, Aayush Dhakal, Di Huang, Nathan Jacobs
2024	—	`conf`	FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-supervised Learning. ECCV (89) Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis Gonzalo Sánchez Giraldo
2024	J	`jnl`	GEOBIND: Binding Text, Image, and Audio through Satellite Images. CoRR Aayush Dhakal, Subash Khanal, Srikumar Sastry, Adeel Ahmad, Nathan Jacobs
2024	C	`conf`	GeoBind: Binding Text, Image, and Audio through Satellite Images. IGARSS Aayush Dhakal, Subash Khanal, Srikumar Sastry, Adeel Ahmad, Nathan Jacobs
2024	—	`conf`	GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis. CVPR Workshops Srikumar Sastry, Subash Khanal, Aayush Dhakal, Nathan Jacobs
2024	J	`jnl`	GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis. CoRR Srikumar Sastry, Subash Khanal, Aayush Dhakal, Nathan Jacobs
2024	A*	`conf`	PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping. ACM Multimedia Subash Khanal, Eric Xing, Srikumar Sastry, Aayush Dhakal, Zhexiao Xiong, Adeel Ahmad, Nathan Jacobs
2024	J	`jnl`	PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping. CoRR Subash Khanal, Eric Xing, Srikumar Sastry, Aayush Dhakal, Zhexiao Xiong, Adeel Ahmad, Nathan Jacobs
2024	—	`conf`	Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. CVPR Workshops Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Hannah Kerner, Nathan Jacobs
2024	J	`jnl`	TaxaBind: A Unified Embedding Space for Ecological Applications. CoRR Srikumar Sastry, Subash Khanal, Aayush Dhakal, Adeel Ahmad, Nathan Jacobs
2023	J	`jnl`	BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping. CoRR Srikumar Sastry, Subash Khanal, Aayush Dhakal, Di Huang, Nathan Jacobs
2023	J	`jnl`	Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems. CoRR Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik
2023	—	`conf`	Eroding Trust in Aerial Imagery: Comprehensive Analysis and Evaluation of Adversarial Attacks in Geospatial Systems. AIPR Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik
2023	J	`jnl`	FroSSL: Frobenius Norm Minimization for Self-Supervised Learning. CoRR Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis Gonzalo Sánchez Giraldo
2023	J	`jnl`	LD-SDM: Language-Driven Hierarchical Species Distribution Modeling. CoRR Srikumar Sastry, Xin Xing, Aayush Dhakal, Subash Khanal, Adeel Ahmad, Nathan Jacobs
2023	A	`conf`	Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. BMVC Subash Khanal, Srikumar Sastry, Aayush Dhakal, Nathan Jacobs
2023	J	`jnl`	Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. CoRR Subash Khanal, Srikumar Sastry, Aayush Dhakal, Nathan Jacobs
2023	J	`jnl`	Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. CoRR Aayush Dhakal, Adeel Ahmad, Subash Khanal, Srikumar Sastry, Nathan Jacobs

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.