Aditya Gahlawat

45 papers A* 2C 4Journal 30Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ℒ CoRR Astghik Hakobyan, Amaras Nazarians, Aditya Gahlawat, Naira Hovakimyan, Ilya V. Kolmanovsky
2025	J	`jnl`	Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy. CoRR Aditya Gahlawat, Ahmed Aboudonia, Sandeep Banik, Naira Hovakimyan, Nikolai Matni, Aaron D. Ames, Gioele Zardini, Alberto Speranzon
2025	J	`jnl`	L IEEE Trans. Control. Syst. Technol. Zhuohuan Wu, Sheng Cheng, Pan Zhao, Aditya Gahlawat, Kasey A. Ackerman, Arun Lakshmanan, Chengyu Yang, Jiahao Yu, Naira Hovakimyan
2025	—	`conf`	Wasserstein Distributionally Robust Adaptive Covariance Steering. CDC Aditya Gahlawat, Vivek Khatana, Duo Wang, Sambhu H. Karumanchi, Naira Hovakimyan, Petros G. Voulgaris
2025	J	`jnl`	Wasserstein Distributionally Robust Adaptive Covariance Steering. CoRR Aditya Gahlawat, Vivek Khatana, Duo Wang, Sambhu H. Karumanchi, Naira Hovakimyan, Petros G. Voulgaris
2025	J	`jnl`	ℒ CoRR Aditya Gahlawat, Sambhu H. Karumanchi, Naira Hovakimyan
2024	J	`jnl`	Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation. Robotics Pan Zhao, Ziyao Guo, Yikun Cheng, Aditya Gahlawat, Hyungsoo Kang, Naira Hovakimyan
2024	J	`jnl`	Robust Model Based Reinforcement Learning Using L CoRR Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat, Naira Hovakimyan
2024	A*	`conf`	Robust Model Based Reinforcement Learning Using L1 Adaptive Control. ICLR Minjun Sung, Sambhu H. Karumanchi, Aditya Gahlawat, Naira Hovakimyan
2023	J	`jnl`	Generalization of Safe Optimal Control Actions on Networked Multiagent Systems. IEEE Trans. Control. Netw. Syst. Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou
2023	J	`jnl`	Ls CoRR Zhuohuan Wu, Sheng Cheng, Pan Zhao, Aditya Gahlawat, Kasey A. Ackerman, Arun Lakshmanan, Chengyu Yang, Jiahao Yu, Naira Hovakimyan
2022	A*	`conf`	L1Adaptive Augmentation for Geometric Tracking Control of Quadrotors. ICRA Zhuohuan Wu, Sheng Cheng, Kasey A. Ackerman, Aditya Gahlawat, Arun Lakshmanan, Pan Zhao, Naira Hovakimyan
2022	J	`jnl`	Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. IEEE Robotics Autom. Lett. Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan
2021	C	`conf`	Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. ACC Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou
2021	—	`conf`	Contraction ℒ L4DC Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou
2021	C	`conf`	Cooperative Path Integral Control for Stochastic Multi-Agent Systems. ACC Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris
2021	J	`jnl`	Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems. CoRR Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris
2021	J	`jnl`	Generalization of Safe Optimal Control Actions on Networked Multi-Agent Systems. CoRR Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou
2021	J	`jnl`	Guaranteed Contraction Control in the Presence of Imperfectly Learned Dynamics. CoRR Pan Zhao, Ziyao Guo, Yikun Cheng, Aditya Gahlawat, Naira Hovakimyan
2021	J	`jnl`	L CoRR Zhuohuan Wu, Sheng Cheng, Kasey A. Ackerman, Aditya Gahlawat, Arun Lakshmanan, Pan Zhao, Naira Hovakimyan
2021	C	`conf`	Risk-Sensitive Rendezvous Algorithm for Heterogeneous Agents in Urban Environments. ACC Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan
2021	J	`jnl`	Safe Sampling-Based Air-Ground Rendezvous Algorithm for Complex Urban Environments. CoRR Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan
2021	J	`jnl`	Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. CoRR Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan
2020	J	`jnl`	$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning. CoRR Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou
2020	J	`jnl`	Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. CoRR Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou
2020	J	`jnl`	Cooperative Path Integral Control for Stochastic Multi-Agent Systems. CoRR Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris
2020	—	`conf`	L1-GP: L1 Adaptive Control with Bayesian Learning. L4DC Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou
2020	J	`jnl`	Learning Probabilistic Intersection Traffic Models for Trajectory Prediction. CoRR Andrew Patterson, Aditya Gahlawat, Naira Hovakimyan
2020	J	`jnl`	RL CoRR Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou
2020	J	`jnl`	Risk Sensitive Rendezvous Algorithm for Heterogeneous Agents in Urban Environments. CoRR Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan
2020	J	`jnl`	Safe Feedback Motion Planning: A Contraction Theory and L CoRR Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan
2020	—	`conf`	Safe Feedback Motion Planning: A Contraction Theory and ℒ1-Adaptive Control Based Approach. CDC Arun Lakshmanan, Aditya Gahlawat, Naira Hovakimyan
2020	J	`jnl`	Stability Analysis of Linear Partial Differential Equations With Generalized Energy Functions. IEEE Trans. Autom. Control. Aditya Gahlawat, Giorgio Valmorbida
2018	J	`jnl`	Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems. CoRR Hyung-Jin Yoon, Huaiyu Chen, Kehan Long, Heling Zhang, Aditya Gahlawat, Donghwan Lee, Naira Hovakimyan
2017	J	`jnl`	A Convex Sum-of-Squares Approach to Analysis, State Feedback and Output Feedback Control of Parabolic PDEs. IEEE Trans. Autom. Control. Aditya Gahlawat, Matthew M. Peet
2017	J	`jnl`	A Semi-Definite Programming Approach to Stability Analysis of Linear Partial Differential Equations. CoRR Aditya Gahlawat, Giorgio Valmorbida
2017	—	`conf`	A semi-definite programming approach to stability analysis of linear partial differential equations. CDC Aditya Gahlawat, Giorgio Valmorbida
2016	C	`conf`	Optimal state feedback boundary control of parabolic PDEs using SOS polynomials. ACC Aditya Gahlawat, Matthew M. Peet
2015	J	`jnl`	A Convex Approach to Analysis, State and Output Feedback Control Parabolic PDEs Using Sum-of-Squares. CoRR Aditya Gahlawat, Matthew M. Peet
2015	—	`—`	Analysis and control of parabolic partial differential equations with application to tokamaks using sum-of-squares polynomials. (Analyse et contrôle des équations aux dérivées partielles parabolique aide de polynômes somme des carrés avec une application sur les tokamaks). Aditya Gahlawat
2015	J	`jnl`	Output Feedback Control of Inhomogeneous Parabolic PDEs with Point Actuation and Point Measurement using SOS and Semi-Separable Kernels. CoRR Aditya Gahlawat, Matthew M. Peet
2015	—	`conf`	Output feedback control of inhomogeneous parabolic PDEs with point actuation and point measurement using SOS and semi-separable kernels. CDC Aditya Gahlawat, Matthew M. Peet
2014	J	`jnl`	A Convex Approach to Output Feedback Control of Parabolic PDEs Using Sum-of-Squares. CoRR Aditya Gahlawat, Matthew M. Peet
2012	—	`conf`	Bootstrap current optimization in Tokamaks using sum-of-squares polynomials. CDC Aditya Gahlawat, Emmanuel Witrant, Matthew M. Peet, Mazen Alamir
2011	—	`conf`	Designing observer-based controllers for PDE systems: A heat-conducting rod with point observation and boundary control. CDC/ECC Aditya Gahlawat, Matthew M. Peet

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.