A. Pouyan Nejadhashemi

27 papers B 3C 1Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Closing the gap between crop simulation and practical decision-making. Comput. Electron. Agric. Josué Kpodo, A. Pouyan Nejadhashemi, Parisa Kordjamshidi, Rasu Eeswaran, Younsuk Dong
2026	J	`jnl`	Evaluating the logical and mathematical reasoning capabilities of language models in agricultural water management. Comput. Electron. Agric. Josué Kpodo, A. Pouyan Nejadhashemi, Rasu Eeswaran
2026	J	`jnl`	Graph neural networks for per- and poly-fluoroalkyl substances concentration prediction in water supply wells. Eng. Appl. Artif. Intell. Vahid Rafiei, A. Pouyan Nejadhashemi
2026	J	`jnl`	Integrating interactive decision making into evolutionary multiobjective agricultural optimization. Comput. Electron. Agric. Ian Kropp, A. Pouyan Nejadhashemi, Prakash Jha, Elijah Spinner, Gregorio Toscano Pulido
2025	J	`jnl`	Next-generation techniques for parameter reduction for BMP multiobjective optimization in watershed planning. Environ. Model. Softw. Hoda S. Razavi, Gregorio Toscano, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker
2024	J	`jnl`	AgXQA: A benchmark for advanced Agricultural Extension question answering. Comput. Electron. Agric. Josué Kpodo, Parisa Kordjamshidi, A. Pouyan Nejadhashemi
2024	J	`jnl`	Improved Evolutionary Operators for Sparse Large-Scale Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. Ian Kropp, A. Pouyan Nejadhashemi, Kalyanmoy Deb
2024	J	`jnl`	Large-Scale Multiobjective Optimization for Watershed Planning and Assessment. IEEE Trans. Syst. Man Cybern. Syst. Gregorio Toscano Pulido, Hoda Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker
2024	J	`jnl`	Leveraging innovization and transfer learning to optimize best management practices in large-scale watershed management. Environ. Model. Softw. Kalyanmoy Deb, A. Pouyan Nejadhashemi, Gregorio Toscano, Hoda Razavi, Lewis C. Linker
2023	J	`jnl`	Minimizing Expected Deviation in Upper Level Outcomes Due to Lower Level Decision Making in Hierarchical Multiobjective Problems. IEEE Trans. Evol. Comput. Kalyanmoy Deb, Zhichao Lu, Ian Kropp, Juan Sebastian Hernandez-Suarez, Rayan Hussein, Steven Miller, A. Pouyan Nejadhashemi
2023	B	`conf`	Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed Problem. CEC Gregorio Toscano, Hoda Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker
2022	J	`jnl`	Agricultural Innovization: An Optimization-Driven solution for sustainable agricultural intensification in Michigan. Comput. Electron. Agric. Ian Kropp, A. Pouyan Nejadhashemi, Prakash Jha, Juan Sebastian Hernandez-Suarez
2022	J	`jnl`	An improved calibration technique to address high dimensionality and non-linearity in integrated groundwater and surface water models. Environ. Model. Softw. Vahid Rafiei, A. Pouyan Nejadhashemi, Shahbaz Mushtaq, Ryan T. Bailey, Duc-Anh An-Vo
2022	J	`jnl`	Benefits of sparse population sampling in multi-objective evolutionary computing for large-Scale sparse optimization problems. Swarm Evol. Comput. Ian Kropp, A. Pouyan Nejadhashemi, Kalyanmoy Deb
2022	J	`jnl`	Groundwater-surface water interactions at wetland interface: Advancement in catchment system modeling. Environ. Model. Softw. Vahid Rafiei, A. Pouyan Nejadhashemi, Shahbaz Mushtaq, Ryan T. Bailey, Duc-Anh An-Vo
2022	B	`conf`	Large-scale Multi-objective Optimization for Water Quality in Chesapeake Bay Watershed. CEC Gregorio Toscano, Juan Sebastian Hernandez-Suarez, Julian Blank, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker
2022	J	`jnl`	Performance of Sentinel-1 and 2 imagery in detecting aquaculture waterbodies in Bangladesh. Environ. Model. Softw. Juan Sebastian Hernandez-Suarez, A. Pouyan Nejadhashemi, Hannah Ferriby, Nathan J. Moore, Ben Belton, Mohammad Mahfujul Haque
2021	J	`jnl`	A novel multi-objective model calibration method for ecohydrological applications. Environ. Model. Softw. Juan Sebastian Hernandez-Suarez, A. Pouyan Nejadhashemi, Kalyanmoy Deb
2020	J	`jnl`	Quantitative model of irrigation effect on maize yield by deep neural network. Neural Comput. Appl. Babak Saravi, A. Pouyan Nejadhashemi, Bo Tang
2019	J	`jnl`	Crop yield simulation optimization using precision irrigation and subsurface water retention technology. Environ. Model. Softw. Proteek Chandan Roy, Andrey K. Guber, Mohammad Abouali, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Alvin J. M. Smucker
2019	C	`conf`	Simulation Optimization of Water Usage and Crop Yield Using Precision Irrigation. EMO Proteek Chandan Roy, Andrey K. Guber, Mohammad Abouali, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Alvin J. M. Smucker
2017	J	`jnl`	Food System Resilience and Sustainability in Cambodia. Int. J. Appl. Geospat. Res. Joseph P. Messina, Tanita Suepa, Sieglinde Snapp, Jennifer Olson, A. Pouyan Nejadhashemi, Sarah Murray, Nathan J. Moore, April Frake, Peilei Fan, Umesh Adhikari
2016	J	`jnl`	MATLAB Hydrological Index Tool (MHIT): A high performance library to calculate 171 ecologically relevant hydrological indices. Ecol. Informatics Mohammad Abouali, Fariborz Daneshvar, A. Pouyan Nejadhashemi
2016	J	`jnl`	Two-phase approach to improve stream health modeling. Ecol. Informatics Mohammad Abouali, A. Pouyan Nejadhashemi, Fariborz Daneshvar, Sean A. Woznicki
2015	B	`conf`	An integrated approach involving EMO and HYDRUS-2D software for SWRT-based precision irrigation. CEC Cem Celal Tutum, Andrey K. Guber, Kalyanmoy Deb, Alvin Smucker, A. Pouyan Nejadhashemi, Berna Kiraz
2015	J	`jnl`	Integrating statistical and hydrological models to identify implementation sites for agricultural conservation practices. Environ. Model. Softw. Subhasis Giri, A. Pouyan Nejadhashemi, Zhen Zhang, Sean A. Woznicki
2015	J	`jnl`	Linking watershed-scale stream health and socioeconomic indicators with spatial clustering and structural equation modeling. Environ. Model. Softw. Georgina M. Sanchez, A. Pouyan Nejadhashemi, Zhen Zhang, Sandra Marquart-Pyatt, Geoffrey Habron, Ashton M. Shortridge

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.