Skip to main content
  • Book
  • © 2019

From Reactive Systems to Cyber-Physical Systems

Essays Dedicated to Scott A. Smolka on the Occasion of His 65th Birthday

  • Honorary volume dedicated to Scott A. Smolka on occasion to his 65th birthday
  • Written by well-known experts
  • Features the broad range of Scott A. Smolka research topics

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11500)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (16 chapters)

  1. Front Matter

    Pages i-xvi
  2. Scott Smolka and Me

    • Rance Cleaveland
    Pages 1-6
  3. Analysis of Complex Biological Systems

    1. Front Matter

      Pages 7-7
    2. A Comprehensive Comparison of GPU Implementations of Cardiac Electrophysiology Models

      • Abouzar Kaboudian, Hector Augusto Velasco-Perez, Shahriar Iravanian, Yohannes Shiferaw, Elizabeth M. Cherry, Flavio H. Fenton
      Pages 9-34
    3. From Automated MRI Scan to Finite Elements

      • James Glimm, Hyunkyung Lim, Martin Bishop, Soojin Kim
      Pages 35-48
  4. Program Analysis

    1. Front Matter

      Pages 49-49
    2. Invisible Invariants Are Neither

      • Lenore D. Zuck, Kenneth L. McMillan
      Pages 57-72
    3. A Refinement Proof for a Garbage Collector

      • Klaus Havelund, Natarajan Shankar
      Pages 73-103
  5. Synthesis of Models, Parameters and Benchmarks

    1. Front Matter

      Pages 105-105
    2. Model Repair Revamped

      • Milan Češka, Christian Dehnert, Nils Jansen, Sebastian Junges, Joost-Pieter Katoen
      Pages 107-125
    3. Generating Hard Benchmark Problems for Weak Bisimulation

      • Bernhard Steffen, Marc Jasper
      Pages 126-145
    4. Robustness of Neural Networks to Parameter Quantization

      • Abhishek Murthy, Himel Das, Md. Ariful Islam
      Pages 146-161
  6. Model-Based Design

    1. Front Matter

      Pages 163-163
    2. Model-Based Energy Characterization of IoT System Design Aspects

      • Alexios Lekidis, Panagiotis Katsaros
      Pages 165-180
    3. A Logic-Inspired Approach to Reconfigurable System Modelling

      • Alessandro Maggi, Rocco De Nicola, Joseph Sifakis
      Pages 181-201
  7. Data-Driven Design

    1. Front Matter

      Pages 203-203
    2. Topological Interpretation of Interactive Computation

      • Emanuela Merelli, Anita Wasilewska
      Pages 205-224
    3. Conformal Predictions for Hybrid System State Classification

      • Luca Bortolussi, Francesca Cairoli, Nicola Paoletti, Scott D. Stoller
      Pages 225-241
    4. Control Synthesis Through Deep Learning

      • Doron Peled, Simon Iosti, Saddek Bensalem
      Pages 242-255

About this book

This Festschrift is in honor of Scott A. Smolka, Professor in the Stony Brook University, USA, on the occasion of his 65th birthday.
Scott A. Smolka made fundamental research contributions in a number of areas, including process algebra, model checking, probabilistic processes, runtime verification, and the modeling and analysis of cardiac cells, neural circuits and flocking behaviors. He is perhaps best known for the algorithm he and Paris Kanellakis invented for checking bi-simulation. The title of this volume From Reactive Systems to Cyber-Physical Systems reflects Scott's main research focus throughout his career.
It contains the papers written by his closest friends and collaborators. The contributions cover a wide spectrum of the topics related to Scott's research scientific interests, including model repair for probabilistic systems, runtime verification, model checking, cardiac dynamics simulation and machine learning.

Editors and Affiliations

  • Technische Universität Wien, Vienna, Austria

    Ezio Bartocci, Radu Grosu

  • University of Maryland, College Park, USA

    Rance Cleaveland

  • University of Pennsylvania, Philadelphia, USA

    Oleg Sokolsky

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access