Upinder S. Bhalla

32 papers Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated Hierarchical Block Decomposition of Biochemical Networks. IEEE Trans. Comput. Biol. Bioinform. Manvel Gasparyan, Satya Tamby, Gubbi Vani HarshaRani, Upinder S. Bhalla, Ovidiu Radulescu
2024	J	`jnl`	Mathematical basis and toolchain for hierarchical optimization of biochemical networks. PLoS Comput. Biol. Nisha A. Viswan, Alexandre Tribut, Manvel Gasparyan, Ovidiu Radulescu, Upinder S. Bhalla
2023	J	`jnl`	Using sensitivity analyses to understand bistable system behavior. BMC Bioinform. Vandana Sreedharan, Upinder S. Bhalla, Naren Ramakrishnan
2021	J	`jnl`	HillTau: A fast, compact abstraction for model reduction in biochemical signaling networks. PLoS Comput. Biol. Upinder S. Bhalla
2021	J	`jnl`	SWITCHES: Searchable Web Interface for Topologies of CHEmical Switches. Bioinform. Gubbi Vani HarshaRani, Sahil Moza, Naren Ramakrishnan, Upinder S. Bhalla
2019	J	`jnl`	INDEX-db: The Indian Exome Reference Database (Phase I). J. Comput. Biol. Husayn Ahmed P., Vidhya V., Ravi Prabhakar More, Biju Viswanath, Sanjeev Jain, Mahendra S. Rao, Odity Mukherjee, Naren P. Rao, Janardhanan C. Narayanaswamy, Palanimuthu T. Sivakumar, Arun Kandaswamy, Muralidharan Kesavan, Urvakhsh-Meherwan Mehta, Ganesan Venkatasubramanian, John P. John, Meera Purushottam, Ramakrishnan Kannan, Bhupesh Mehta, Thennarasu Kandavel, B. Binukumar, Jitender Saini, Deepak Jayarajan, A. Shyamsundar, Sydney Moirangthem, Kumar G. Vijay, Jagadisha Thirthalli, Prabha S. Chandra, Bangalore N. Gangadhar, Pratima Murthy, Mitradas M. Panicker, Upinder S. Bhalla, Sumantra Chattarji, Vivek Benegal, Mathew Varghese, Janardhan Y. C. Reddy, Padinjat Raghu
2018	J	`jnl`	FindSim: A Framework for Integrating Neuronal Data and Signaling Models. Frontiers Neuroinformatics Nisha A. Viswan, Gubbi Vani HarshaRani, Melanie I. Stefan, Upinder S. Bhalla
2017	J	`jnl`	Multirate method for co-simulation of electrical-chemical systems in multiscale modeling. J. Comput. Neurosci. Ekaterina Brocke, Mikael Djurfeldt, Upinder S. Bhalla, Jeanette Hellgren Kotaleski, Michael Hanke
2016	J	`jnl`	Efficient Integration of Coupled Electrical-Chemical Systems in Multiscale Neuronal Simulations. Frontiers Comput. Neurosci. Ekaterina Brocke, Upinder S. Bhalla, Mikael Djurfeldt, Jeanette Hellgren Kotaleski, Michael Hanke
2016	J	`jnl`	NSDF: Neuroscience Simulation Data Format. Neuroinformatics Subhasis Ray, Chaitanya Chintaluri, Upinder S. Bhalla, Daniel K. Wójcik
2016	J	`jnl`	Role of DARPP-32 and ARPP-21 in the Emergence of Temporal Constraints on Striatal Calcium and Dopamine Integration. PLoS Comput. Biol. Anu G. Nair, Upinder S. Bhalla, Jeanette Hellgren Kotaleski
2015	J	`jnl`	Spike Detection for Large Neural Populations Using High Density Multielectrode Arrays. Frontiers Neuroinformatics Jens-Oliver Muthmann, Hayder Amin, Evelyne Sernagor, Alessandro Maccione, Dagmara Panas, Luca Berdondini, Upinder S. Bhalla, Matthias H. Hennig
2014	—	`ch.`	MOOSE, the Multiscale Object-Oriented Simulation Environment. Encyclopedia of Computational Neuroscience Niraj Dudani, Upinder S. Bhalla, Subhasis Ray
2012	J	`jnl`	Summation in the Hippocampal CA3-CA1 Network Remains Robustly Linear Following Inhibitory Modulation and Plasticity, but Undergoes Scaling and Offset Transformations. Frontiers Comput. Neurosci. Dhanya Parameshwaran, Upinder S. Bhalla
2011	J	`jnl`	Minimum Information About a Simulation Experiment (MIASE). PLoS Comput. Biol. Dagmar Waltemath, Richard R. Adams, Daniel A. Beard, Frank T. Bergmann, Upinder S. Bhalla, Randall Britten, Vijayalakshmi Chelliah, Mike T. Cooling, Jonathan Cooper, Edmund J. Crampin, Alan Garny, Stefan Hoops, Michael Hucka, Peter J. Hunter, Edda Klipp, Camille Laibe, Andrew K. Miller, Ion I. Moraru, David P. Nickerson, Poul M. F. Nielsen, Macha Nikolski, Sven Sahle, Herbert M. Sauro, Henning Schmidt, Jacky L. Snoep, Dominic P. Tolle, Olaf Wolkenhauer, Nicolas Le Novère
2011	J	`jnl`	Multiscale interactions between chemical and electric signaling in LTP induction, LTP reversal and dendritic excitability. Neural Networks Upinder S. Bhalla
2010	J	`jnl`	NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail. PLoS Comput. Biol. Padraig Gleeson, Sharon M. Crook, Robert C. Cannon, Michael L. Hines, Guy O. Billings, Matteo Farinella, Thomas M. Morse, Andrew P. Davison, Subhasis Ray, Upinder S. Bhalla, Simon R. Barnes, Yoana D. Dimitrova, Angus Silver
2010	J	`jnl`	Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework. Neuroinformatics Mikael Djurfeldt, Johannes Hjorth, Jochen M. Eppler, Niraj Dudani, Moritz Helias, Tobias C. Potjans, Upinder S. Bhalla, Markus Diesmann, Jeanette Hellgren Kotaleski, Örjan Ekeberg
2009	J	`jnl`	Computing with Proteins. Computer Naren Ramakrishnan, Upinder S. Bhalla, John J. Tyson
2009	J	`jnl`	Signaling Logic of Activity-Triggered Dendritic Protein Synthesis: An mTOR Gate But Not a Feedback Switch. PLoS Comput. Biol. Pragati Jain, Upinder S. Bhalla
2008	J	`jnl`	How To Record a Million Synaptic Weights in a Hippocampal Slice. PLoS Comput. Biol. Upinder S. Bhalla
2008	J	`jnl`	Memory Switches in Chemical Reaction Space. PLoS Comput. Biol. Naren Ramakrishnan, Upinder S. Bhalla
2008	J	`jnl`	PyMOOSE: interoperable scripting in Python for MOOSE. Frontiers Neuroinformatics Subhasis Ray, Upinder S. Bhalla
2007	J	`jnl`	Interoperability of Neuroscience Modeling Software: Current Status and Future Directions. Neuroinformatics Robert C. Cannon, Marc-Oliver Gewaltig, Padraig Gleeson, Upinder S. Bhalla, Hugo Cornelis, Michael L. Hines, Fredrick W. Howell, Eilif B. Muller, Joel R. Stiles, Stefan Wils, Erik De Schutter
2005	J	`jnl`	Molecular Switches at the Synapse Emerge from Receptor and Kinase Traffic. PLoS Comput. Biol. Arnold Hayer, Upinder S. Bhalla
2004	J	`jnl`	Adaptive stochastic-deterministic chemical kinetic simulations. Bioinform. Karan Vasudeva, Upinder S. Bhalla
2003	J	`jnl`	Managing models of signaling networks. Neurocomputing Upinder S. Bhalla
2003	J	`jnl`	The Database of Quantitative Cellular Signaling: management and analysis of chemical kinetic models of signaling networks. Bioinform. Sudhir Sivakumaran, Sridhar Hariharaputran, Jyoti Mishra, Upinder S. Bhalla
2002	J	`jnl`	Biochemical Signaling Networks Decode Temporal Patterns of Synaptic Input. J. Comput. Neurosci. Upinder S. Bhalla
2002	J	`jnl`	The chemical organization of signaling interactions. Bioinform. Upinder S. Bhalla
1997	J	`jnl`	Multiday Recordings from Olfactory Bulb Neurons in Awake Freely Moving Rats: Spatially and Temporally Organized Variability in Odorant Response Propertie. J. Comput. Neurosci. Upinder S. Bhalla, James M. Bower
1988	—	`conf`	GENESIS: A System for Simulating Neural Networks. NIPS Matthew A. Wilson, Upinder S. Bhalla, John D. Uhley, James M. Bower

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.