Patvardhan Chellapilla

15 papers B 3Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A fast novel heuristic and machine learning-assisted hybrid metaheurics for the Euclidean leaf-constrained minimum spanning tree problem. Evol. Intell. Neha Varshney, Vasantha Lakshmi Chellapilla, Prem Prakash Vuppuluri, Patvardhan Chellapilla
2023	—	`conf`	Does ChatGPT Spell the End of Automatic Question Generation Research? CVMI Monika Singh, Patvardhan Chellapilla, C. Vasantha Lakshmi
2023	J	`jnl`	Socio-inspired evolutionary algorithms: a unified framework and survey. Soft Comput. Laxmikant Sharma, Vasantha Lakshmi Chellapilla, Patvardhan Chellapilla
2021	J	`jnl`	Serial and parallel memetic algorithms for the bounded diameter minimum spanning tree problem. Expert Syst. J. Knowl. Eng. Prem Prakash Vuppuluri, Patvardhan Chellapilla
2017	J	`jnl`	Towards the right amount of randomness in quantum-inspired evolutionary algorithms. Soft Comput. Patvardhan Chellapilla, Sulabh Bansal, Anand Srivastav
2016	J	`jnl`	Parallel Interval Type-2 Subsethood Neural Fuzzy Inference System. Expert Syst. Appl. Vuppuluri Sumati, Patvardhan Chellapilla, Sandeep Paul, Lotika Singh
2015	J	`jnl`	Quantum-Inspired Evolutionary Algorithm for difficult knapsack problems. Memetic Comput. Patvardhan Chellapilla, Sulabh Bansal, Anand Srivastav
2015	J	`jnl`	Solving the 0-1 Quadratic Knapsack Problem with a competitive Quantum Inspired Evolutionary Algorithm. J. Comput. Appl. Math. Patvardhan Chellapilla, Sulabh Bansal, Anand Srivastav
2013	B	`conf`	A New QEA Computing Near-Optimal Low-Discrepancy Colorings in the Hypergraph of Arithmetic Progressions. SEA Lasse Kliemann, Ole Kliemann, Patvardhan Chellapilla, Volkmar Sauerland, Anand Srivastav
2011	J	`jnl`	A Fast Measurement based fixed-point Quantum Search Algorithm CoRR Ashish Mani, Patvardhan Chellapilla
2011	—	`conf`	Some Investigations for Solving Constrained Optimization Problems using Adiabatic Quantum Computation. ITNG Ashish Mani, Patvardhan Chellapilla
2010	J	`jnl`	A hybrid quantum evolutionary algorithm for solving engineering optimization problems. Int. J. Hybrid Intell. Syst. Ashish Mani, Patvardhan Chellapilla
2009	B	`conf`	A Novel Quantum Evolutionary Algorithm for Quadratic Knapsack Problem. SMC Apurva Narayan, Patvardhan Chellapilla
2009	—	`conf`	Is Stochastic Ranking Really better than Feasibility Rules for Constraint Handling in Evolutionary Algorithms? NaBIC Sulabh Bansal, Ashish Mani, Patvardhan Chellapilla
2009	B	`conf`	Solution of real-parameter optimization problems using novel Quantum Evolutionary Algorithm with applications in power dispatch. IEEE Congress on Evolutionary Computation G. S. Sailesh Babu, Devulapalli Bhagwan Das, Patvardhan Chellapilla

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.