Publications

7 minute read

Publications

Papers

1. Gregor von Laszewski, Anthony Orlowski, Richard H. Otten, Reilly Markowitz, Sunny Gandh, Adam Chai, Geoffrey C. Fox, Wo L. Chang (2021). Using GAS for Speedy Generation of HybridMulti-Cloud Auto Generated AI Services. IEEE COMPSAC 2021: Intelligent and Resilient Computing for a Collaborative World45th Anniversary Conference. http://dsc.soic.indiana.edu/publications/COMPSAC-GAS-openapi.pdf

2. Geoffrey C. Fox, Gregor von Laszewski, Fugang Wang, Saumyadipta Pyne, AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates, J. data sci. 19(2021), no. 2, 293-313, DOI 10.6339/21-JDS1007Geoffrey C. Fox, Gregor von Laszewski, Fugang Wang, and Saumyadipta Pyne “AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates” Technical Report July 3 2020 Arxiv with update. Published in J. data sci.(2021), 1-21, DOI 10.6339/21-JDS1007 https://jds-online.org/journal/JDS/article/124/info

3. Mark McCombe, Gregor von Laszewski and Geoffrey C. Fox, “Teaching Big Data and Open Source Software on Chameleon Cloud”, Chameleon User Meeting, September 13-14 2017 in the Theory and Computer Science building at the Argonne National Laboratory

4. Gregor von Laszewski and Geoffrey C. Fox, “Automated Sharded MongoDB Deployment and Benchmarking for Big Data Analysis”, Chameleon User Meeting, September 13-14 2017 in the Theory and Computer Science building at the Argonne National Laboratory

Courses

4. AI-First Engineering Cybertraining (sp2021) https://cybertraining-dsc.github.io/docs/courses/ai-first/

Reports

AI First Engineering 2021

1. sp21-599-359: Project: Deep Learning in Drug Discovery, Anesu Chaora, https://cybertraining-dsc.github.io/report/sp21-599-359/project/
2. sp21-599-357: Project: Structural Protein Sequences Classification, Jiayu Li, https://cybertraining-dsc.github.io/report/sp21-599-357/project/
3. sp21-599-355: Project: Chat Bots in Customer Service, Anna Everett, https://cybertraining-dsc.github.io/report/sp21-599-355/project/
4. sp21-599-354: Project: Identifying Agricultural Weeds with CNN, Paula Madetzke, https://cybertraining-dsc.github.io/report/sp21-599-354/project/
5. sp21-599-358: Project: Autonomous Vehicle Simulations Using the CARLA Simulator, Jesus Badillo, https://cybertraining-dsc.github.io/report/sp21-599-358/project/
6. sp21-599-356: Project: Forecasting Natural Gas Demand/Supply, Baekeun Park, https://cybertraining-dsc.github.io/report/sp21-599-356/project/
7. sp21-599-353: Project: Stock Level Prediction, Rishabh Agrawal, https://cybertraining-dsc.github.io/report/sp21-599-353/project/

2021 REU Reports

https://cybertraining-dsc.github.io/docs/report/2021-reu

1. reu21-reu-361: Project: Time Series Analysis of Blockchain-Based Cryptocurrency Price Changes, Jacques Fleischer, https://cybertraining-dsc.github.io/report/su21-reu-361/project/
2. su21-reu-362: Project: Breast Cancer and Genetics, Kehinde Ezekiel, https://cybertraining-dsc.github.io/report/su21-reu-362/project/
3. su21-reu-363: Project: AI in Orthodontics, Whitney McNair, https://cybertraining-dsc.github.io/report/su21-reu-363/project/
4. su21-reu-364: Project: Object Recognition, David Umanzor, https://cybertraining-dsc.github.io/report/su21-reu-364/project/
5. su21-reu-365: Project: Cyber Attacks Detection Using AI Algorithms, Victor Adankai, https://cybertraining-dsc.github.io/report/su21-reu-365/project/
6. su21-reu-366: Project: Handwriting Recognition Using AI, Mikahla Reeves, https://cybertraining-dsc.github.io/report/su21-reu-366/project/
7. su21-reu-369: Project: Increasing Cervical Cancer Risk Analysis, Theresa Jeanbaptiste, https://cybertraining-dsc.github.io/report/su21-reu-369/project/
8. su21-reu-370: Project: Marine aninmal population analysis using AI, Tiamia WIlliams , https://cybertraining-dsc.github.io/report/su21-reu-370/project/
9. su21-reu-371: Project: Project: Detecting Multiple Sclerosis Symptoms using AI, Raeven Hatcher https://cybertraining-dsc.github.io/report/su21-reu-371/project/
10. su21-reu-372: Project: Analysing Hashimoto disease causes using AI, Sheimy Paz, https://cybertraining-dsc.github.io/report/su21-reu-372/project/
11. su21-reu-375: Project: Analysis of Covid-19 Vaccination Rates in Different Races, Ololade Latinwo, https://cybertraining-dsc.github.io/report/su21-reu-375/project/
12. su21-reu-376: Project: AI and Dentronics, Jamyla Young, https://cybertraining-dsc.github.io/report/su21-reu-376/project/ 13 su21-reu-377: Project: Project: Analyzing the Advantages and Disadvantages of Artificial, Intelligence for Breast Cancer Detection in Women, RonDaisja Dunn, https://cybertraining-dsc.github.io/report/su21-reu-377/project/
13. su21-reu-378: Project: Analysis of Autism in three different cities using AI, Myra Saunders, https://cybertraining-dsc.github.io/report/su21-reu-378/project/

Big Data Reports

• Benchmarking Multi-Cloud Auto Generated AI Services, Gregor von Laszewski, Anthony Orlowski, et.al.

• “NBA Performance and Injury”, Gavin Hemmerlein, Chelsea Gorius, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-301/project/project

• “Rank Forecasting in Car Racing”, Jiayu Li, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-349/project/project/

• “NFL Regular Season Skilled Position Player Performance as a Predictor of Playoff Appearance”, Travis Whitaker, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-308/project/project/

• “Predictive Model For Pitches Thrown By Major League Baseball Pitchers”, Bryce Wieczorek, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-343/report/report

• “Big Data Analytics in the National Basketball Association”, Igue Khaleel, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-317/report/report

• “Big Data In Sports Game Predictions and How it is Used in Sports Gambling”, Mansukh Kandhari, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-331/report/report

• “How Big Data has Affected Statisicts in Baseball”, Hunter Holden, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-328/report/report

• “Structural Protein Sequences Classification”, Jiayu Li, Technical Report Cybertraining DSC, Indiana University, Jun. 2021 https://cybertraining-dsc.github.io/report/sp21-599-357/project

• “How Big Data Technologies Can Improve Indoor Agriculture”, Cody Harris, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-305/project/project

• “Identifying Agricultural Weeds with CNN”, Paula Madetzke, Technical Report Cybertraining DSC, Indiana University, Jun. 2021 https://cybertraining-dsc.github.io/report/sp21-599-354/project

• “Aquatic Toxicity Analysis with the aid of Autonomous Surface Vehicle (ASV)”, Saptarshi Sinha, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-312/project/project

• “Analysis of Future of Buffalo Breeds and Milk Production Growth in India”, Gangaprasad, Shahapurkar Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-326/project/project

• “Deep Learning in Drug Discovery”, Anesu Chaora, Technical Report Cybertraining DSC, Indiana University, Jun. 2021 https://cybertraining-dsc.github.io/report/sp21-599-359/project

• “Detecting Heart Disease using Machine Learning Classification Techniques”, Ethan Nguyen, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-309/project/project

• “Detect and classify pathologies in chest X-rays using PyTorch library”, Rama Asuri, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-319/project/project

• “How Wearable Devices Can Impact Health and Productivity”, Adam Martin, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-302/project/project

• Project on Gesture recognition and machine learning", Sunny Xu, Peiran Zhao, Kris Zhang, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-315/report/report

• “Music Mood Classification”, Kunaal Shah, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-341/project/project

• Trending Youtube Videos Analysis", Adam Chai Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-327/project/project

• “Using Spotify Data To Determine If Popular Modern-day Songs Lack Uniqueness Compared To Popular Songs Before The 21st Century”, Raymond Adams, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-333/project/project

• “Review of Text-to-Voice Synthesis Technologies”, Eugene Wang, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-350/report/report

• “Using Big Data to Eliminate Racial Bias in Healthcare”, Robert Neubauer, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-304/report/report

• “Autonomous Vehicle Simulations Using the CARLA Simulator”, Jesus Badillo, Technical Report Cybertraining DSC, Indiana University, Jun. 2021 https://cybertraining-dsc.github.io/report/sp21-599-358/project

• “Residential Power Usage Prediction”, Siny P Raphel, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-314/project/project

• “Stock Level Prediction”, Rishabh Agrawal, Technical Report Cybertraining DSC, Indiana University, Jun. 2021 https://cybertraining-dsc.github.io/report/sp21-599-353/project

• “Chat Bots in Customer Service”, Anna Everett, Technical Report Cybertraining DSC, Indiana University, Jun. 2021 https://cybertraining-dsc.github.io/report/sp21-599-355/project

• “Big Data Analytics in Brazilian E-Commerce”, Oluwatobi Bolarin, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-330/project/project

• “Analysis of Financial Markets based on President Trump’s Tweets”, Alex Baker, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-307/project/project

• “Analyzing LSTM Performance on Predicting Stock Market for Multiple Time Steps”, Fauzan Isnaini, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-313/project/project

• “Analyzing the Relationship of Cryptocurrencies with Foriegn Exchange Rates and Global Stock Market Indices”, Krish Hemant Mhatre, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-332/project/project

• “Big Data Application in E-commerce”, Liu Tao, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-339/project/project

• “Predicting Hotel Prices Using Linear Regression”, Anthony Tugman, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-323/project/project

• “Stock Market Earnings to Price Change Project”, Matthew Frechette, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-336/project/project

• “Online Store Customer Revenue Prediction”, Balaji Dhamodharan and Anantha Janakiraman, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-337/project/project

• “Big Data Application in E-commerce”, Wanru Li, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-329/report/report

• “Change of internet capabilities throughout the world”, Matthew Cummings, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-334/report/report

• “Correlation between game genere and national sales, as well as general analysis of the video games industry “, Linde Aleksandr, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-340/report/report

• “Sentiment Analysis and Visualization using an US-election dataset for the 2020 Election”, Sudheer Alluri, Vishwanadham Mandala, Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/report/fa20-523-316/project/project

• “Autonomous Vehicle Simulations Using the CARLA Simulator”, Jesus Badillo, Technical Report Cybertraining DSC, Indiana University, Jun. 2021 https://cybertraining-dsc.github.io/report/sp21-599-358/project

More reports

More reporst can be found at

Books

1. Online Book: E222 Spring 2019 Introduction to Clouds and Machine Learning Undergraduate Class 484 pages

2. Online Book: Cloud Computing Topics Fall 2019 590 pages

3. Online Book: Python for Cloud Computing Fall 2019 242 pages

4. Online Book: Linux for Cloud Computing Fall 2019 40 pages

5. Online Book: E516 Engineering Cloud Computing Class Lectures Fall 2019 62 pages

6. Online Book: E516 Engineering Cloud Computing OpenStack and Chameleon Cloud Fall 2019 78 pages

7. Online Book: E516 Engineering Cloud Computing Proceedings – Student Projects Fall 2019 128 pages

8. Online Book: E534 Big Data Applications and Analytics Class Lectures Fall 2018 141 pages

9. Online Book: E534 Big Data Applications and Analytics Class (Deep Learning version) Lectures Fall 2019 73 pages

Proceedings

1. “Proceedings 2021 FAMU REU supported by Cybertraining-DSC” “Gregor von Laszewski, Yohn Jairo Parra Bautista, Carlos Theran, Geoffrey C. Fox, Richard Alo, Byron Greene”

   • Online: Technical Report Cybertraining DSC, Indiana University, Dec. 2020 https://cybertraining-dsc.github.io/docs/report/2021-reu/
   • PDF: https://cybertraining-dsc.github.io/docs/pub/reu2021.pdf

2. Proceedings: 2021 AI First Engineering, Geoffrey C. Fox and Gregor von Laszewski,

   • Online: https://cybertraining-dsc.github.io/docs/report/2021/
   • PDF: https://cybertraining-dsc.github.io/docs/pub/ai2021.pdf

3. Geoffrey Fox and Gregor von Laszewski, “E534 Big Data Algorithms and Applications Class” as epub or PDF Class Book Fall 2018

4. Gregor von Laszewski Editor “Technology Snapshots Volume 1”, Spring 2017 Intelligent Systems Engineering E616 Student Reports printed August 10 2018

5. Gregor von Laszewski Editor “Technology Snapshots Volume 2”, Spring 2017 Intelligent Systems Engineering E616 Student Reports printed August 10 2018

Tutorials

We have developed more than 300 tutorial pages, which most are integrated in our Book. They will be included also in the web page.

Online publications and tutprials

• under development

We have publications on

• Medium
• Hackio
• opensource
• piplanet