Raghunathan Rengaswamy

58 papers C 12Journal 43Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributed state estimation of linear descriptor systems. Syst. Control. Lett. Juhi Jaiswal, Vikas Kumar Mishra, Raghunathan Rengaswamy, Naim Bajçinca
2025	—	`conf`	Sparse Hyperbolic Convolutional Networks with Enhanced Object Localization via GradCAM Analysis. ICCVW Vijayavallabh Jayamanikandan, Jithamanyu Settur, Lokesh K. Rajulapati, Raghunathan Rengaswamy
2024	J	`jnl`	Discovering governing partial differential equations from noisy data. Comput. Chem. Eng. Nohan Joemon, Melpakkam Pradeep, Lokesh K. Rajulapati, Raghunathan Rengaswamy
2024	J	`jnl`	Upstream flow geometries can be uniquely learnt from single-point turbulence signatures. CoRR Mukesh Karunanethy, Raghunathan Rengaswamy, Mahesh V. Panchagnula
2024	J	`jnl`	User authentication system based on human exhaled breath physics. CoRR Mukesh Karunanethy, Rahul Tripathi, Mahesh V. Panchagnula, Raghunathan Rengaswamy
2022	J	`jnl`	CDiNN - Convex difference neural networks. Neurocomputing Sankaranarayanan Parameswaran, Raghunathan Rengaswamy
2022	J	`jnl`	Reinforcement-Learning designs droplet microfluidic networks. Comput. Chem. Eng. Mohammad Shahab, Raghunathan Rengaswamy
2021	J	`jnl`	CDiNN -Convex Difference Neural Networks. CoRR Sankaranarayanan Parameswaran, Raghunathan Rengaswamy
2021	J	`jnl`	Designing biological circuits: from principles to applications. CoRR Debomita Chakraborty, Raghunathan Rengaswamy, Karthik Raman
2020	J	`jnl`	Incorporating prior knowledge about structural constraints in model identification. CoRR Deepak Maurya, Sivadurgaprasad Chinta, Abhishek Sivaram, Raghunathan Rengaswamy
2019	J	`jnl`	Prediction error-based clustering approach for multiple-model learning using statistical testing. Eng. Appl. Artif. Intell. Sivadurgaprasad Chinta, Abhishek Sivaram, Raghunathan Rengaswamy
2018	J	`jnl`	Actuator network design to mitigate contamination effects in Water Distribution Networks. Comput. Chem. Eng. Venkata Reddy Palleti, Varghese Kurian, Shankar Narasimhan, Raghunathan Rengaswamy
2018	J	`jnl`	Modeling and control of battery systems. Part I: Revisiting Butler-Volmer equations to model non-linear coupling of various capacity fade mechanisms. Comput. Chem. Eng. Resmi Suresh, Raghunathan Rengaswamy
2018	J	`jnl`	Modeling and control of battery systems. Part II: A model predictive controller for optimal charging. Comput. Chem. Eng. Resmi Suresh M. P, Raghunathan Rengaswamy
2017	J	`jnl`	On modeling and optimization of micro-photosynthetic power cells. Comput. Chem. Eng. Hemanth Kumar Tanneru, Resmi Suresh M. P, Raghunathan Rengaswamy
2017	J	`jnl`	On the Detection of Valve Nonlinearities in Otherwise Linear Closed-Loop Systems. IEEE Trans. Autom. Control. Tim Spinner, Babji Srinivasan, Raghunathan Rengaswamy
2017	J	`jnl`	Rapid impedance measurement using chirp signals for electrochemical system analysis. Comput. Chem. Eng. Brian Bullecks, Resmi Suresh M. P, Raghunathan Rengaswamy
2016	J	`jnl`	Multivariate Control Loop Performance Assessment With Hurst Exponent and Mahalanobis Distance. IEEE Trans. Control. Syst. Technol. Laya Das, Babji Srinivasan, Raghunathan Rengaswamy
2016	J	`jnl`	Optimal Power Distribution Control for a Network of Fuel Cell Stacks. CoRR Resmi Suresh M. P, Ganesh Sankaran, Sreeram Joopudi, Shankar Narasimhan, Suman Roy Choudhury, Raghunathan Rengaswamy
2016	J	`jnl`	Sensor network design for contaminant detection and identification in water distribution networks. Comput. Chem. Eng. Venkata Reddy Palleti, Shankar Narasimhan, Raghunathan Rengaswamy, Ravi Teja, S. Murty Bhallamudi
2016	J	`jnl`	Very large scale droplet microfluidic integration (VLDMI) using genetic algorithm. Comput. Chem. Eng. Job S. Kasule, Jeevan Maddala, Parham Mobed, Raghunathan Rengaswamy
2015	J	`jnl`	Classification of High-Temperature PEM Fuel Cell Degradation Mechanisms Using Equivalent Circuits. IEEE Trans. Ind. Electron. Chris de Beer, Paul S. Barendse, Pragasen Pillay, Brian Bullecks, Raghunathan Rengaswamy
2015	C	`conf`	On-line performance monitoring of PEM fuel cell using a fast EIS approach. ACC Laya Das, Babji Srinivasan, Raghunathan Rengaswamy
2015	J	`jnl`	Online Diagnostics of HTPEM Fuel Cells Using Small Amplitude Transient Analysis for CO Poisoning. IEEE Trans. Ind. Electron. Chris de Beer, Paul S. Barendse, Pragasen Pillay, Brian Bullecks, Raghunathan Rengaswamy
2014	C	`conf`	Data driven approach for performance assessment of linear and nonlinear Kalman filters. ACC Laya Das, Babji Srinivasan, Raghunathan Rengaswamy
2014	J	`jnl`	Design of multi-functional microfluidic ladder networks to passively control droplet spacing using genetic algorithms. Comput. Chem. Eng. Jeevan Maddala, Raghunathan Rengaswamy
2014	—	`conf`	Understanding control in microchannels to manipulate drop-drop interactions. ECC Danny Raj M, Raghunathan Rengaswamy
2013	—	`conf`	A generative approach to qualitative trend analysis for batch process fault diagnosis. ECC Kris Villez, Raghunathan Rengaswamy
2013	J	`jnl`	Generalized shape constrained spline fitting for qualitative analysis of trends. Comput. Chem. Eng. Kris Villez, Venkat Venkatasubramanian, Raghunathan Rengaswamy
2013	C	`conf`	Online fault diagnostics and impedance signature mapping of High Temperature PEM fuel cells using rapid small signal injection. IECON Chris de Beer, Paul S. Barendse, Pragasen Pillay, Brian Bullecks, Raghunathan Rengaswamy
2013	J	`jnl`	Receding-Horizon Nonlinear Kalman (RNK) Filter for State Estimation. IEEE Trans. Autom. Control. Raghunathan Rengaswamy, Shankar Narasimhan, Vidyashankar Kuppuraj
2012	J	`jnl`	Control loop performance assessment using detrended fluctuation analysis (DFA). Autom. Babji Srinivasan, Tim Spinner, Raghunathan Rengaswamy
2011	J	`jnl`	Computationally Efficient Identification of Global ARX Parameters With Guaranteed Stability. IEEE Trans. Autom. Control. Ulaganathan Nallasivam, Babji Srinivasan, Vidyashankar Kuppuraj, M. Nazmul Karim, Raghunathan Rengaswamy
2011	J	`jnl`	Kalman-based strategies for Fault Detection and Identification (FDI): Extensions and critical evaluation for a buffer tank system. Comput. Chem. Eng. Kris Villez, Babji Srinivasan, Raghunathan Rengaswamy, Shankar Narasimhan, Venkat Venkatasubramanian
2011	J	`jnl`	Plant Friendly Input Design: Convex Relaxation and Quality. IEEE Trans. Autom. Control. Sridharakumar Narasimhan, Raghunathan Rengaswamy
2010	J	`jnl`	A framework for on-line trend extraction and fault diagnosis. Eng. Appl. Artif. Intell. Mano Ram Maurya, Praveen K. Paritosh, Raghunathan Rengaswamy, Venkat Venkatasubramanian
2010	J	`jnl`	Dimensional optimization of a tubular solid oxide fuel cell. Comput. Chem. Eng. Debangsu Bhattacharyya, Raghunathan Rengaswamy
2010	J	`jnl`	Stiction identification in nonlinear process control loops. Comput. Chem. Eng. Ulaganathan Nallasivam, Babji Srinivasan, Raghunathan Rengaswamy
2009	C	`conf`	Dynamic modeling and system identification of a tubular solid oxide fuel cell (TSOFC). ACC Debangsu Bhattacharyya, Raghunathan Rengaswamy
2009	C	`conf`	Experimental evaluation of linear model based control strategies for PEMFCs. ACC R. N. Methekar, S. C. Patwardhan, Raghunathan Rengaswamy, R. D. Gudi, Vinay Prasad
2009	J	`jnl`	Solid Oxide Fuel Cell Modeling. IEEE Trans. Ind. Electron. Abraham Gebregergis, Pragasen Pillay, Debangsu Bhattacharyya, Raghunathan Rengaswamy
2009	J	`jnl`	Structural Properties of Gene Regulatory Networks: Definitions and Connections. IEEE ACM Trans. Comput. Biol. Bioinform. Sridharakumar Narasimhan, Raghunathan Rengaswamy, Rajanikanth Vadigepalli
2008	J	`jnl`	Approaches for efficient stiction compensation in process control valves. Comput. Chem. Eng. Ranganathan Srinivasan, Raghunathan Rengaswamy
2008	C	`conf`	Blind identification of stiction in nonlinear process control loops. ACC Ulaganathan Ulaganathan, Raghunathan Rengaswamy
2008	C	`conf`	Issues in modeling stiction in process control valves. ACC Ranganathan Srinivasan, Raghunathan Rengaswamy, Ulaganathan Nallasivam, V. Rajavelu
2008	C	`conf`	Multi-objective optimal input design for plant friendly identification. ACC Sridharakumar Narasimhan, Raghunathan Rengaswamy
2008	J	`jnl`	New nonlinear residual feedback observer for fault diagnosis in nonlinear systems. Autom. Sridharakumar Narasimhan, Pramod Vachhani, Raghunathan Rengaswamy
2008	C	`conf`	PEMFC Fault Diagnosis, Modeling, and Mitigation. IAS Abraham Gebregergis, Pragasen Pillay, Raghunathan Rengaswamy
2008	J	`jnl`	Robust sensor network design for fault diagnosis. Comput. Chem. Eng. Mani Bhushan, Sridharakumar Narasimhan, Raghunathan Rengaswamy
2007	J	`jnl`	Fault diagnosis using dynamic trend analysis: A review and recent developments. Eng. Appl. Artif. Intell. Mano Ram Maurya, Raghunathan Rengaswamy, Venkat Venkatasubramanian
2006	C	`conf`	Techniques for stiction diagnosis and compensation in process control loops. ACC Ranganathan Srinivasan, Raghunathan Rengaswamy
2004	J	`jnl`	Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets. Eng. Appl. Artif. Intell. Mano Ram Maurya, Raghunathan Rengaswamy, Venkat Venkatasubramanian
2004	C	`conf`	Multi-objective input signal design for plant friendly identification of process systems. ACC Sridharakumar Narasimhan, Raghunathan Rengaswamy
2004	C	`conf`	Recursive state estimation in nonlinear processes. ACC Pramod Vachhani, Shankar Narasimhan, Raghunathan Rengaswamy
2003	J	`jnl`	A review of process fault detection and diagnosis: Part I: Quantitative model-based methods. Comput. Chem. Eng. Venkat Venkatasubramanian, Raghunathan Rengaswamy, Kewen Yin, Surya N. Kavuri
2003	J	`jnl`	A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies. Comput. Chem. Eng. Venkat Venkatasubramanian, Raghunathan Rengaswamy, Surya N. Kavuri
2003	J	`jnl`	A review of process fault detection and diagnosis: Part III: Process history based methods. Comput. Chem. Eng. Venkat Venkatasubramanian, Raghunathan Rengaswamy, Surya N. Kavuri, Kewen Yin
2003	J	`jnl`	Fuzzy-logic based trend classification for fault diagnosis of chemical processes. Comput. Chem. Eng. Sourabh Dash, Raghunathan Rengaswamy, Venkat Venkatasubramanian

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.