Blog

Simulation of a Pandemic

I followed @realjasonisaacs for his data gathering and analysis of COVID-19 in Ventura County. I wrote a simple Python3 script (using graphics.py) that provides a visualization of the pandemic. The simulation has a few parameters, but it is essentially a simulation of people’s random but relatively confined movements. It starts with one sick individual in the center, and a population of 300 healthy individuals. What was surprising was how easily I was able to simulate the situations presented by Jason Isaacs (e.g., exponential versus logistic growth) with my simple code. See a recording of a run of a typical development of the pandemic.

My talk in AWS series on remote learning

I am delighted to be participating in an AWS Webinar Series on Remote Learning.

From the page: During this unprecedented time of temporary and sustained school closings, educators across the globe are quickly transitioning to remote learning. This webinar series is designed by educators for educators and based on educator input from a recent survey capturing current challenges. Any educator is invited to join. There’s no cost for participating. The webinar topics are detailed below with links to sign up.

My talk is: Teaching Online: Ten Suggestions for Success
As you shift from traditional instruction to online instruction, learn from Dr. Michael Soltys the things you should consider and actions you should to take for a successful transition. Don’t think of this move to online teaching as a one-off. Think of it as an opportunity to build an online offering that can serve your department and students for years.

Registration is free an open to everyone: https://register.gotowebinar.com/rt/1904846026857359373

Online Solutions Architect class at CI open to students and general public – May 4 to June 26, 2020

We are offering an 8-week course in AWS Solutions Architect certification. The class will be taught by me (Michael Soltys), May 4 to June 26, 2020. In response to the need for online classes during this time of national emergency, we have halved the price of the course. Upon completion of this class, students will be able to take the AWS Solutions Architect certificate exam. This is an advanced level of AWS cloud expertise.

Please contact Jeff Ziskin (jeff.zisking@csuci.edu, 805-437-2653) with any questions. Please not, you do not have to be registered at the university as a student to register for this class.

Also for more information: https://prof.msoltys.com/?p=5203
and here: https://go.csuci.edu/aws to RSVP for an online information session.

My new paper on Cybersecurity in the AWS Cloud

This new paper was just posted as a technical report at Cornell’s arXiv (https://arxiv.org/abs/2003.12905), but it will be submitted for publication in the future. PDF of the paper.

From the abstract: This paper re-examines the content of a standard advanced course in Cybersecurity from the perspective of Cloud Computing. More precisely, we review the core concepts of Cybersecurity, as presented in a senior undergraduate or graduate class, in light of the Amazon Web Services (AWS) cloud.

This paper has three goals: (i) to aid faculty in cloudifying a Cybersecurity offering; (ii) to re-examine Cybersecurity in light of the new paradigm of Cloud Computing; and, (iii) as a guide for preparing for the AWS Security Specialty certification. The paper presents an outline of Cybersecurity, with topics examined in the context of AWS, and with a long bibliography for a more in-depth study of each topic.

It should be mentioned that this paper is a second paper in a sequence on cloudification with AWS; the first one, Cloudifying the Curriculum with AWS, can be found here: https://arxiv.org/abs/2002.04020, and it was mentioned in this blog post.

My book “An Intro to the Analysis of Algorithms”

My book, An Introduction to the Analysis of Algorithms, has been identified by the publisher, World Scientific, as one of the most downloaded ebooks. See my page http://www.msoltys.com/book with all the book details and resources (slides, GitHub repository with implementations of all algorithms, solutions to problems, errata, etc.).

KES 2020 – 24th International Conference on Knowledge Based and Intelligent information and Engineering Systems

KES-202024th  International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES2020) |  16th  –  18th  September 2020  |   Verona, Italyhttp://kes2020.kesinternational.org/index.php

We are pleased to invite contributions for KES2020 taking place in Verona, Italy organised by KES International, in conjunction with the University of Verona.

Continue reading “KES 2020 – 24th International Conference on Knowledge Based and Intelligent information and Engineering Systems”

RDAAPS first annual international conference on research in the broadly defined area of data analytics

Call for papersReconciling Data Analytics, Automation, Privacy, and Security: A Big Data Challenge (RDAAPS) 2020 conference
http://rdaaps.com/conferences/rdaaps20/
July 15 – 17, 2020, McMaster University, Hamilton, ON, CANADA
RDAAPS is the first annual international conference on research in the broadly defined area of data analytics. It brings together researchers from academia, industry, and the public sector to present and discuss various aspects of data analytics, including privacy, security, and automation. This venue is meant to bring together stakeholders whose interests lie at the interface of these concerns, providing a platform for integrating the needs of industry with state-of-the-art scientific advancements, and inspiring original research on solving enterprise data challenges. RDAAPS seeks papers presenting original research in the areas including, but not limited to:
Big Data Analytics for Decision Making– New models and algorithms for data analytics- Scalable data analytics- Optimization methods in data analytics- Theoretical analysis of data systems- Analytical reasoning systems- Decision making under uncertainty- Learning systems for data analytics- Large-scale text, speech, image, or graph processing systems
Accountable Data Analytics– Privacy-aware data analytics- Fairness in data analytics- Interpretable and transparent data analytics- Data analytics incorporating legal and ethical factors
Strings in Data Analytics– Patterns in Big Data- Data compression- Bioinformatics- Algorithms and data structures for string processing- Useful data structures for Big Data- Data structures residing on secondary storage
Security in Data Analysis– Traceability of decision making- Models for forecasting cyber-attacks and measuring impact- Data usage in mounting security threats- Data analytics for better situational awareness
Domain knowledge modelling and generation– Novel ontology representations- Scalability of domain-based reasoning on big data- Modelling and analyzing unstructured data sets
Automation for data analytics, security, and privacy in manufacturing– Application of data analysis in manufacturing- Big data in Industry 4.0- Privacy and security in manufacturing
Challenges of automation of data analytic processes– Case studies of the automation of data analytics processes- Architecture for data analytics and security- Built-in privacy and security in data analytics automation
Submission instructions:Successful papers will address real research challenges through analysis, design, measurement, and deployment of data systems. The program committee will evaluate each paper using metrics that are appropriate for the topic area. All submissions must describe original ideas, not published or currently under review for another conference or journal. 
Submissions must follow the formatting guidelines of IEEE proceedings, and be submitted electronically as a PDF file through the EasyChair author interface for the RDAAPS conference (link to follow soon). Submissions not adhering to the specified format and length may be rejected immediately.
The submitted papers can include up to 8 pages in IEEE format, including references, appendices, and figures. Publication:All accepted papers will be published in the IEEE conference proceeding.

Important dates:– Deadline for abstract submission: March 23rd, 2020- Deadline for full paper submission: March 29th, 2020- Notification to authors: May 15th, 2020- Deadline for camera ready version: June 7th, 2020
We look forward to receiving your submissions!
Best regards,
General ChairsM. Jamal Deen, McMaster UniversityRidha Khedri, McMaster University
Steering CommitteeRidha Khedri, McMaster UniversityWendy MacCaull, St. Francis Xavier UniversityMike Grainge, Adlib Software, Vice President Product EngineeringNeerja Mhaskar, McMaster University
Organizing CommitteeRidha Khedri, McMaster University, Local OrganizerNeerja Mhaskar, McMaster University, Local OrganizerAndrew LeClair, McMaster University, PublicistAlicia Marinache, McMaster University, TreasurerHassan Ashtiani, McMaster University, Publication Co-ChairWenbo He, McMaster University, Publication Co-ChairMike Grainge, Adlib Software, Industrial Liaison
Program Committee ChairsArash Habibi Lashkari, University of New BrunswickRidha Khedri, McMaster UniversityNeerja Mhaskar, McMaster University
Program Committee Members (Current confirmed list)Ken Barker, University of CalgarySolon Pissis, Centrum Wiskunde & Informatica (CWI)Wing-Kin Sung, National University of SingaporeAndrew Malton, Blackberry Ltd.Dan Feng, Beijing University of Posts and TelecommunicationsWendy MacCaull, St. Francis Xavier UniversityKamel Adi, Université du Québec en OutaouaisJian Li, Futurewei TechnologiesMaxime Crochemore, King’s College London and Université Paris-EstJason Jaskolka, Carleton UniversityClaude Baron, LAAS-CNRS, INSAFazle Rabbi, University of BergenYan Liu, Concordia UniversityWilliam F. Smyth, McMaster UniversityCostas Illiopoulos, King’s College LondonNoman Mohammed, University of ManitobaLaurence T. Yang, St. Francis Xavier UniversityHideo Bannai, Kyushu UniversityDon Adjeroh, West Virginia UniversityShunsuke Inenaga, Kyushu UniversityNadia Pisanti, Universita di PisaFei Chiang, McMaster UniversityWenbo He, McMaster UniversityHassan Ashtiani, McMaster UniversityJamal Deen, McMaster UniveristyMourad Debbabi, Concordia UniversityGiovanni Livraga, University of MilanMichael Soltys, California State University Channel Islands

My new paper on cloudifying the curriculum with AWS

This new paper was just posted as a technical report at Cornell’s arXiv (https://arxiv.org/abs/2002.04020), but it will be submitted for publication in the future. PDF of the paper.

From the abstract: The Cloud has become a principal paradigm of computing in the last ten years, and Computer Science curricula must be updated to reflect that reality. This paper examines simple ways to accomplish curriculum cloudification using Amazon Web Services (AWS), for Computer Science and other disciplines such as Business, Communication and Mathematics.

In this paper we present the cloudification journey at our institution, California State University Channel Islands, where we have thriving programs under the department of Computer Science, that include Computer Science, Information Technology, Mechatronics Engineering, and a Masters program in Computer Science. We have partnered with AWS Academy and AWS Educate to bring cloud expertise to the students we serve – about 600 majors, in a campus of over 7,000 students. The paper gives the details.