Raj Dandekar - RankMe

13 papers C 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decoders Laugh as Loud as Encoders. CoRR Eli Borodach, Raj Dandekar, Rajat Dandekar, Sreedath Panat
2025	J	`jnl`	Forecasting N-Body Dynamics: A Comparative Study of Neural Ordinary Differential Equations and Universal Differential Equations. CoRR Suriya R. S, Prathamesh Dinesh Joshi, Rajat Dandekar, Raj Dandekar, Sreedath Panat
2025	J	`jnl`	Latent Multi-Head Attention for Small Language Models. CoRR Sushant Mehta, Raj Dandekar, Rajat Dandekar, Sreedath Panat
2025	C	`conf`	Learning and Reasoning with Model-Grounded Symbolic Artificial Intelligence Systems. NeSy Aniruddha Chattopadhyay, Raj Dandekar, Kaushik Roy
2025	J	`jnl`	Model-Grounded Symbolic Artificial Intelligence Systems Learning and Reasoning with Model-Grounded Symbolic Artificial Intelligence Systems. CoRR Aniruddha Chattopadhyay, Raj Dandekar, Kaushik Roy
2025	J	`jnl`	Muon: Training and Trade-offs with Latent Attention and MoE. CoRR Sushant Mehta, Raj Dandekar, Rajat Dandekar, Sreedath Panat
2025	J	`jnl`	NanoVLMs: How small can we go and still make coherent Vision Language Models? CoRR Mukund Agarwalla, Himanshu Kumar, Raj Dandekar, Rajat Dandekar, Sreedath Panat
2025	J	`jnl`	Regional Tiny Stories: Using Small Models to Compare Language Learning and Tokenizer Performance. CoRR Nirvan Patil, Malhar Abhay Inamdar, Agnivo Gosai, Guruprasad Pathak, Anish Joshi, Aryan Sagavekar, Anish Joshirao, Raj Dandekar, Rajat Dandekar, Sreedath Panat
2025	—	`conf`	Regional-TinyStories: A Small Language Model Framework for Evaluating Language Learning, Tokenizers, and Datasets. IJCNLP-AACL (Findings) Nirvan Patil, Malhar Abhay Inamdar, Agnivo Gosai, Guruprasad Pathak, Anish Joshi, Anish Joshirao, Raj Dandekar, Rajat Dandekar, Sreedath Panat
2025	J	`jnl`	Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models. CoRR Sushant Mehta, Raj Dandekar, Rajat Dandekar, Sreedath Panat
2021	J	`jnl`	Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics. Patterns Raj Dandekar, Shane G. Henderson, Hermanus M. Jansen, Joshua McDonald, Sarat Babu Moka, Yoni Nazarathy, Christopher Rackauckas, Peter G. Taylor, Aapeli Vuorinen
2020	J	`jnl`	A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread. Patterns Raj Dandekar, Christopher Rackauckas, George Barbastathis
2020	J	`jnl`	Bayesian Neural Ordinary Differential Equations. CoRR Raj Dandekar, Vaibhav Dixit, Mohamed Tarek, Aslan Garcia-Valadez, Christopher Rackauckas

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.