Conferences related to Computational Models

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE Energy Conversion Congress and Exposition (ECCE)

IEEE-ECCE 2020 brings together practicing engineers, researchers, entrepreneurs and other professionals for interactive and multi-disciplinary discussions on the latest advances in energy conversion technologies. The Conference provides a unique platform for promoting your organization.

  • 2019 IEEE Energy Conversion Congress and Exposition (ECCE)

    IEEE-ECCE 2019 brings together practicing engineers, researchers, entrepreneurs and other professionals for interactive and multi-disciplinary discussions on the latest advances in energy conversion technologies. The Conference provides a unique platform for promoting your organization.

  • 2018 IEEE Energy Conversion Congress and Exposition (ECCE)

    The scope of ECCE 2018 includes all technical aspects of research, design, manufacture, application and marketing of devices, components, circuits and systems related to energyconversion, industrial power and power electronics.

  • 2017 IEEE Energy Conversion Congress and Exposition (ECCE)

    ECCE is the premier global conference covering topics in energy conversion from electric machines, power electronics, drives, devices and applications both existing and emergent

  • 2016 IEEE Energy Conversion Congress and Exposition (ECCE)

    The Energy Conversion Congress and Exposition (ECCE) is focused on research and industrial advancements related to our sustainable energy future. ECCE began as a collaborative effort between two societies within the IEEE: The Power Electronics Society (PELS) and the Industrial Power Conversion Systems Department (IPCSD) of the Industry Application Society (IAS) and has grown to the premier conference to discuss next generation technologies.

  • 2015 IEEE Energy Conversion Congress and Exposition

    The scope of ECCE 2015 includes all technical aspects of research, design, manufacture, application and marketing of devices, components, circuits and systems related to energy conversion, industrial power and power electronics.

  • 2014 IEEE Energy Conversion Congress and Exposition (ECCE)

    Those companies who have an interest in selling to: research engineers, application engineers, strategists, policy makers, and innovators, anyone with an interest in energy conversion systems and components.

  • 2013 IEEE Energy Conversion Congress and Exposition (ECCE)

    The scope of the congress interests include all technical aspects of the design, manufacture, application and marketing of devices, components, circuits and systems related to energy conversion, industrial power conversion and power electronics.

  • 2012 IEEE Energy Conversion Congress and Exposition (ECCE)

    The IEEE Energy Conversion Congress and Exposition (ECCE) will be held in Raleigh, the capital of North Carolina. This will provide a forum for the exchange of information among practicing professionals in the energy conversion business. This conference will bring together users and researchers and will provide technical insight as well.

  • 2011 IEEE Energy Conversion Congress and Exposition (ECCE)

    IEEE 3rd Energy Conversion Congress and Exposition follows the inagural event held in San Jose, CA in 2009 and 2nd meeting held in Atlanta, GA in 2010 as the premier conference dedicated to all aspects of energy processing in industrial, commercial, transportation and aerospace applications. ECCE2011 has a strong empahasis on renewable energy sources and power conditioning, grid interactions, power quality, storage and reliability.

  • 2010 IEEE Energy Conversion Congress and Exposition (ECCE)

    This conference covers all areas of electrical and electromechanical energy conversion. This includes power electrics, power semiconductors, electric machines and drives, components, subsystems, and applications of energy conversion systems.

  • 2009 IEEE Energy Conversion Congress and Exposition (ECCE)

    The scope of the conference include all technical aspects of the design, manufacture, application and marketing of devices, circuits, and systems related to electrical energy conversion technology


2020 IEEE Frontiers in Education Conference (FIE)

The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.


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Periodicals related to Computational Models

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


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Xplore Articles related to Computational Models

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Fast Bottom-Up Computational Models in the Spectral Domain

Selective Visual Attention: Computational Models and Applications, None

This chapter continues the introduction to bottom-up visual attention models. Following the description of models in the spatial (pixel) domain in the previous chapter, the focus is now put on models in the spectral domain. Since frequency domain models can detect the salient object quicker to enable them to meet real-time requirements in engineering, they are the choice for many ...


Computational Models for Top-down Visual Attention

Selective Visual Attention: Computational Models and Applications, None

This chapter mainly discusses the computational models by combining bottom-up and top-down processing. In the combined models, the bottom-up part in almost all models uses all or part of the core of the BS model, and the top-down part often adopts other methods in computer vision, such as neural networks. Seven types of top-down computation are presented in this chapter. ...


Existing Computational Models and Heuristic Techniques for Cloud Scheduling Problems

2015 Second International Conference on Advances in Computing and Communication Engineering, 2015

Scheduling is a major issue in cloud computing. To run remote computers, scheduling is an important task. Many number of complex applications are getting there concern towards cloud computing. Cloud computing is an important paradigm to run through remote centers. Scheduling problems are at heart of cloud scheduling. This explores the various scheduling problems in cloud scheduling and various existing ...


Introducing the Physiome Journal: Improving Reproducibility, Reuse, and Discovery of Computational Models

2017 IEEE 13th International Conference on e-Science (e-Science), 2017

In August 2017 under the auspices of the International Union of Physiological Sciences (IUPS), we will launch a new journal: Physiome. The goal of Physiome is to promote, encourage, and support the wide-spread adoption of technologies and workflows that generally improve the ability of scientists to discover existing computational models which are relevant to their work, reproduce the predictions of ...


Reduced Computational Models of Serotonin Synthesis, Release, and Reuptake

IEEE Transactions on Biomedical Engineering, 2014

Multiscale computational models can provide systemic evaluation and prediction of neuropharmacological drug effects. To date, little computational modeling work has been done to bridge from intracellular to neuronal circuit level. A complex model that describes the intracellular dynamics of the presynaptic terminal of a serotonergic neuron has been previously proposed. By systematically perturbing the model's components, we identify the slow ...


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Educational Resources on Computational Models

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IEEE.tv Videos

BSIM Spice Model Enables FinFET and UTB IC Design
A Historical Perspective on Computational Intelligence in N-player Games - IEEE WCCI 2014
Uncovering the Neural Code of Learning Control - Jennie Si - WCCI 2012 invited lecture
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Risto Miikkilainen - Multiagent Learning Through Neuroevolution
Computational Intelligence Creating Procedural Content for Games - Joseph Alexander Brown
Honors 2020: Michael I. Jordan Wins the IEEE John von Neumann Medal
Self-Supervised Learning & World Models - ICRA 2020
IMS 2011 Microapps - Local Fundamental Frequency Enhancements for X-Parameter Models
LPIRC: Developing Mobile Computer Vision Models
A Conversation About Mind/Brain Research and AI Development: IEEE TechEthics Interview
Piero P Bonissone - Lazy Meta-Learning - Creating Customized Model Ensembles on Demand
IMS 2015: Luca Pierantoni - A New Challenge in Computational Engineering
IMS 2011 Microapps - Beyond the S-Parameter: The Benefits of Nonlinear Device Models
Using Computational Intelligence to automate Craniofacial Superimposition for Skeleton-based Human Identification
Gary P. Fogel: Applications of Computational Intelligence in Biomedicine
Computational Intelligence for Brain Computer Interface
An Introduction to Computational Intelligence in Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff
Reconstructed Brain Models for Virtual Bodies and Robots
ICASSP 2012 Plenary-Dr. Mitsuo Kawato

IEEE-USA E-Books

  • Fast Bottom-Up Computational Models in the Spectral Domain

    This chapter continues the introduction to bottom-up visual attention models. Following the description of models in the spatial (pixel) domain in the previous chapter, the focus is now put on models in the spectral domain. Since frequency domain models can detect the salient object quicker to enable them to meet real-time requirements in engineering, they are the choice for many real-world applications In this chapter, first the properties of the frequency spectrum for image analysis are given in Section 4.1, and then the major bottom-up computational models based on phase spectrum in frequency domain are presented in Sections 4.2-4.6: the SR, PFT, PQFT, PCT and FDN models, respectively. In Section 4.6, FDN and PFDN models have biological plausibility because they simulate each step from the (spatial domain) BS model, but in the frequency domain. In Section 4.7, the AQFT model based on amplitude spectrum of image patches is introduced and Section 4.8 gives a computational model from the JPEG bit- stream. Finally, the advantages and limitations of frequency computational models are discussed in Section 4.9.

  • Computational Models for Top-down Visual Attention

    This chapter mainly discusses the computational models by combining bottom-up and top-down processing. In the combined models, the bottom-up part in almost all models uses all or part of the core of the BS model, and the top-down part often adopts other methods in computer vision, such as neural networks. Seven types of top-down computation are presented in this chapter. The most comprehensive is the population based model in which feature representation is in cell population form, and it is biologically plausible. Many modules are considered in the model such as bottom-up feature extraction, top-down knowledge leaning and storage, feature update by top-down influence, object recognition, inhibition of return (IoR), eye movement map, and so on. This model is first introduced in Section 5.1, then Section 5.2 covers the hierarchical object search model which simulates the human search method from coarse to finer resolution according to top-down intention. The decision tree as top-down knowledge learning, storage and retrieval is introduced in the Sections 5.3 and 5.4. Sections 5.5 and 5.6 illustrate the two models of the simple VOCUS and the model with fuzzy ART. Finally, we introduce the top-down SUN model with Bayesian framework in Section 5.7. The seven typical top-down computation methods combining the bottom-up model give different methods of knowledge representation, storage, learning and influence on visual attention.

  • Existing Computational Models and Heuristic Techniques for Cloud Scheduling Problems

    Scheduling is a major issue in cloud computing. To run remote computers, scheduling is an important task. Many number of complex applications are getting there concern towards cloud computing. Cloud computing is an important paradigm to run through remote centers. Scheduling problems are at heart of cloud scheduling. This explores the various scheduling problems in cloud scheduling and various existing models to solve them. In this, various computational model of cloud computing, scheduling problems are surveyed. Various existing heuristic and meta-heuristic approaches for cloud environment are reviewed. Future concerned issues are also reviewed in this.

  • Introducing the Physiome Journal: Improving Reproducibility, Reuse, and Discovery of Computational Models

    In August 2017 under the auspices of the International Union of Physiological Sciences (IUPS), we will launch a new journal: Physiome. The goal of Physiome is to promote, encourage, and support the wide-spread adoption of technologies and workflows that generally improve the ability of scientists to discover existing computational models which are relevant to their work, reproduce the predictions of those models, and understand the scope, limitations, and provenance of the models in order to appropriately reuse suitable models in the quest to address their own hypotheses. As we prepare for the launch, we present here the current status and future plans for Physiome.

  • Reduced Computational Models of Serotonin Synthesis, Release, and Reuptake

    Multiscale computational models can provide systemic evaluation and prediction of neuropharmacological drug effects. To date, little computational modeling work has been done to bridge from intracellular to neuronal circuit level. A complex model that describes the intracellular dynamics of the presynaptic terminal of a serotonergic neuron has been previously proposed. By systematically perturbing the model's components, we identify the slow and fast dynamical components of the model, and the reduced slow or fast mode of the model is computationally significantly more efficient with accuracy not deviating much from the original model. The reduced fast-mode model is particularly suitable for incorporating into neurobiologically realistic spiking neuronal models, and hence for large-scale realistic computational simulations. We also develop user-friendly software based on the reduced models to allow scientists to rapidly test and predict neuropharmacological drug effects at a systems level.

  • The optimal running time from computational models by comparing two parallel searching procedures

    This paper proposes a parallel implementation of search algorithms on SIMD computers to be efficiently executed. In these parallel searching, the desired data is queried in the random sequence. Objectives of this paper are two-fold; the first demonstrates the SM SEARCH (S, x, k) algorithm in shared memory SIMD computers and MESH SEARCH (S, x, answer) in mesh-connected SIMD computers. The second is to analyze these two procedures in CREW and EREW computational models respectively and compares the running time of these models to get the optimal running time. The querying on data of computer universities will be played in a key role to provide the implementation of two parallel searching methods. This experimental results prove that parallel implementation of MESH SEARCH on a mesh-connected SIMD computer achieves significant speedup and performance over SM SIMD computer.

  • Japanese voxel-based computational models and their applications for electromagnetic dosimetry

    Recent years have seen development of various high-resolution human computational models using advanced computer performance, and their frequent usage in electromagnetic dosimetry for the human body. The National Institute of Information and Communications Technology (NICT) in Japan used magnetic resonance imaging (MRI) data to develop anatomically realistic whole-body computational models of adult males and females, pregnant females and children of average Japanese body types. In this paper, we detail the Japanese computational models and describe various approaches to modeling and simulation with human computational models.

  • Autonomic nervous system regulation of the sinoatrial cell depolarization rate: Unifying computational models

    In the last years different computational models have been proposed to simulate the sinoatrial node cell (SANC) action potential. Also, there has been a great effort to model the heart regulation mechanism by the autonomic nervous system (ANS) through the sympathetic and parasympathetic pathways. Both computational models have tried to fit the rabbit and/or the guinea-pig experimental heart rate data with an increasing success. Thus, the aim of this work was to unify the available models that have been reported to study the heart rate behavior when the SANC is stimulated by using different frequency patterns. Our results contribute to the unification of part of the Scepanovic's model [1] (involved with second messengers dynamics and its influence over specific SANC ionic channels), and the SANC ionic channels computational model proposed by Severi et al. [2] in 2012. In this model unification we did refit some parameters, particularly, those related to the Hill functions in the dynamic modeling of phosphokinase and its effect on the ionic channels currents Ifand ICaL, and over the Pup, parameter that is related to the Ca++uptake by the sarcoplasmic reticulum. Also, we eliminated the neurotransmitter effect over the ionic current IKrthat is not presented in the Severi's model. These modifications were enough to successfully reproduce the heart rate experimental recordings under acetylcholine (Ach) or norepinephrine (NE) for independent stimulation: Ach 10 nM stimulation showed a 21.54% action potential shift compared with the 20% reported for experimental recordings; Isoprenaline 1 μM, also displayed a depolarization increased rate of 29.3%, compared with the experimental data of 28.2%. Furthermore, we were able to reproduce the guinea-pig experimental heart rate recordings, when the SANC model was vagal stimulated by using a 2 Hz, 10 Hz and 20 Hz frequency for 10 seconds and the experimental heart rate data for a sympathetic stimulation of 10 Hz frequency for 10 seconds.

  • Biventricular defibrillation with sequential shocks using patient-derived computational models

    Standard transvenous defibrillation is performed with implantable cardioverter defibrillators (ICD) using a dual-current pathway. The defibrillation energy is delivered from the right ventricle (RV) electrode to the superior vena cava (SVC) electrode and the ICD metallic housing. Clinical studies of biventricular defibrillation, which uses an additional electrode, placed on the left ventricular (LV) free wall, in conjunction with sequential shocks, have reported a 50% reduction in defibrillation threshold (DFT) energy. The goal of our study is to use computational methods to examine the biventricular defibrillation fields together with their corresponding DFTs, and to compare to standard defibrillation. Thoracic models derived from 5 patients were used in this study. The computational models were created from segmented CT images. The electric field distribution during defibrillation was computed using the finite volume method. The critical mass hypothesis was used to define a successful shock and to calculate the DFT. Our simulations show that the biventricular lead system reduces the DFT by 30% in comparison to standard configuration in 3 of the models and increases DFT up to 12% in the remaining 2. These results are consistent with clinical reports and suggest that patient-specific computational models may be able to identify those patients who could benefit from biventricular defibrillation.

  • Parameter discovery for stochastic computational models in systems biology using Bayesian model checking

    Parameterized probabilistic complex computational (P<sup>2</sup>C<sup>2</sup>) models are being increasingly used in computational systems biology for analyzing biological systems. A key challenge is to build mechanistic P<sup>2</sup>C<sup>2</sup> models by combining prior knowledge and empirical data, given that certain system properties are unknown. These unknown components are incorporated into a model as parameters and determining their values has traditionally been a process of trial and error. We present a new algorithmic procedure for discovering parameters in agent-based models of biological systems against behavioral specifications mined from large data- sets. Our approach uses Bayesian model checking, sequential hypothesis testing, and stochastic optimization to synthesize parameters of P<sup>2</sup>C<sup>2</sup> models. We demonstrate our algorithm by discovering the amount and schedule of doses of bacterial lipopolysaccharide in a clinical agent-based model of the dynamics of acute inflammation that guarantee a set of desired clinical outcomes with high probability.



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