Understanding the Bacterial Stringent Response Using Reachability Analysis of Hybrid Systems. - Calin Belta; Peter Finin; Luc C. G. J. M. Habets; Ádám M. Halász; Marcin Imielinski; Vijay Kumar 001; Harvey Rubin (HSCC, 2004)

Analysis of the Lactose metabolism in E. coli using sum-of-squares decomposition. - Ali Ahmadzadeh; Ádám M. Halász; Vijay Kumar 001; Stephen Prajna; Ali Jadbabaie (CDC/ECC, 2005)

Investigating metabolite essentiality through genome-scale analysis of Escherichia coli production capabilities. - Marcin Imielinski; Calin Belta; Ádám M. Halász; Harvey Rubin (Bioinform., 2005)

Finite state abstraction of a stochastic model of the lactose regulation system of Escherichia coli. - A. Agung Julius; Ádám M. Halász; Vijay Kumar 001; George J. Pappas (CDC, 2006)

Algorithms for the Analysis and Synthesis of a Bio-inspired Swarm Robotic System. - Spring Berman; Ádám M. Halász; Vijay Kumar 001; Stephen Pratt (Swarm Robotics, 2006)

Controlling biological systems: the lactose regulation system of Escherichia coli. - A. Agung Julius; Ádám M. Halász; Vijay Kumar 001; George J. Pappas (ACC, 2007)

MARCO: A Reachability Algorithm for Multi-affine Systems with Applications to Biological Systems. - Spring Berman; Ádám M. Halász; Vijay Kumar 001 (HSCC, 2007)

Bio-Inspired Group Behaviors for the Deployment of a Swarm of Robots to Multiple Destinations. - Spring Berman; Ádám M. Halász; Vijay Kumar 001; Stephen Pratt (ICRA, 2007)

Dynamic redistribution of a swarm of robots among multiple sites. - Ádám M. Halász; M. Ani Hsieh; Spring Berman; Vijay Kumar 001 (IROS, 2007)

Navigation-based optimization of stochastic strategies for allocating a robot swarm among multiple sites. - Spring Berman; Ádám M. Halász; M. Ani Hsieh; Vijay Kumar 001 (CDC, 2008)

Biologically inspired redistribution of a swarm of robots among multiple sites. - M. Ani Hsieh; Ádám M. Halász; Spring Berman; Vijay Kumar 001 (Swarm Intell., 2008)

Stochastic Modeling and Control of Biological Systems: The Lactose Regulation System of Escherichia Coli. - A. Agung Julius; Ádám M. Halász; Mahmut Selman Sakar; Harvey Rubin; Vijay Kumar 001; George J. Pappas (IEEE Trans. Autom. Control., 2008)

Towards fully automated phototransfection. - David J. Cappelleri; Ádám M. Halász; Jai-Yoon Sul; Tae Kyung Kim; James Eberwine; Vijay Kumar 001 (CASE, 2009)

Specialization as an optimal strategy under varying external conditions. - M. Ani Hsieh; Ádám M. Halász; Ekin Dogus Cubuk; Samuel S. Schoenholz; Alcherio Martinoli (ICRA, 2009)

Optimized Stochastic Policies for Task Allocation in Swarms of Robots. - Spring Berman; Ádám M. Halász; M. Ani Hsieh; Vijay Kumar 001 (IEEE Trans. Robotics, 2009)

Emergence of Specialization in a Swarm of Robots. - Ádám M. Halász; Yanting Liang; M. Ani Hsieh; Hong-Jian Lai (DARS, 2010)

Optimization of stochastic strategies for spatially inhomogeneous robot swarms: A case study in commercial pollination. - Spring Berman; Radhika Nagpal; Ádám M. Halász (IROS, 2011)

The impact of high density receptor clusters on VEGF signaling. - Ye Chen; Christopher Short; Ádám M. Halász; Jeremy S. Edwards (HSB, 2013)

Exploring the Dynamics of Mass Action Systems. - Oded Maler; Ádám M. Halász; Olivier Lebeltel; Ouri Maler (HSB, 2013)

Analytical Solution of Steady-State Equations for Chemical Reaction Networks with Bilinear Rate Laws. - Ádám M. Halász; Hong-Jian Lai; Meghan McCabe Pryor; Krishnan Radhakrishnan; Jeremy S. Edwards (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Exploring Synthetic Mass Action Models. - Oded Maler; Ádám M. Halász; Olivier Lebeltel; Ouri Maler (HSB, 2014)

Characterization of the Experimentally Observed Clustering of VEGF Receptors. - Emine Güven; Michael J. Wester; Bridget S. Wilson; Jeremy S. Edwards; Ádám M. Halász (CMSB, 2018)

Extracting Landscape Features from Single Particle Trajectories. - Ádám M. Halász; Brandon L. Clark; Ouri Maler; Jeremy S. Edwards (HSB, 2019)

Spatial Stochastic Model of the Pre-B Cell Receptor. - Romica Kerketta; M. Frank Erasmus; Bridget S. Wilson; Ádám M. Halász; Jeremy S. Edwards (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)