COVID-19 impact on ASU SummerUp Camps

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Three Week Camp - June 14 – July 2, 2020
Grade in Fall of 2020: 9th to 12th grades
(FULL)

Program Overview

Grade in Fall of 2020: 10th Grade, 11th Grade, 12th Grade

Arizona State University AI4ALL (Artificial Intelligence for All) is a program promoting greater diversity and inclusion in the field of Artificial Intelligence. Students who will be a freshman through senior in high school in the fall of 2020 are eligible to apply. During the 3-week program, participants will explore the field of AI through projects creation, industry field trips, and presentations from guest speakers. The program will conclude with a small group research project and a presentation for friends and family.

Learn more about the national organization at ai-4-all.org.

Read more about the organization in an article from the Atlantic.

Carolyn Starr: Program Manager

Carolyn Starr

Carolyn has an extensive background in education, non-profit management and event planning. Put all that together and you can have a huge educational gathering  with awesome young people that is so much fun no one will want to go home! Carolyn comes to New College from six years at Fulton Schools of Engineering to develop camps, community outreach and Professional Development programs. With over 25 years in K-12, experience leading STEM programs through the Arizona Science Center, Six Six Sigma and International Student programing with GOEE, Fulton Schools of Engineering Carolyn brings a wealth of experience to the team of New College at ASU West! 

Kuai Xu: Program Director

Kuai Xu

Kuai Xu is an Associate Professor of Applied Computing program at the School of Mathematical and Natural Sciences, New College of Interdisciplinary Arts & Sciences, Arizona State University West campus. Kuai Xu received Ph.D. degree in Computer Science from the University of Minnesota in September 2006, and B.S. and M.S. degrees in Computer Science from Peking University, China, in 1998 and 2001.

Dr. Xu's research interests include network security, network measurement and analysis, cloud computing, home networks, and online social networks. 

The sponsors for AI4All 2020 include:

ON Semiconductor

 

The sponsors for AI4All 2020 include:

ON Semiconductor

The camp curriculum consists of three-weekly learning modules:

ASU AI4ALL 2020 SummerUP Camp Program (Weekly Agenda)

Week 1

  • Introduction to Artificial Intelligence (AI)

  • Introduction to Python Programming

  • Machine Learning (ML) and Data Mining (DM)

  • Hands-on Projects on AI   

  • Hands-on Projects with Python Programming 

  • Hands-on Projects on ML & DM

  • Guest Lectures by Professors, Scientists and Engineers 

 Week 2

  • Mentor-led AI projects 

  • Guest Lectures by Professors, Scientists and Engineers 

  • AI Hackathon

Week 3

  • Mentor-led AI projects 

  • AI Hackathon   

  • Guest Lectures by Professors, Scientists and Engineers

  • Project Demo 

What is the origin of AI4ALL?

AI4ALL is a non-profit organization whose mission is to increase diversity and inclusion in artificial intelligence. AI4ALL was founded by leading AI technologists including Fei-Fei Li, Professor of Computer Science and Director of AI Lab at Stanford University, funded by key influencers including Melinda Gates and Jensen Huang and is led by Tess Posner, a social entrepreneur with more than a decade of experience working on job training and digital skills initiatives. Since the program was first piloted at Stanford in 2015, AI4ALL has created transformative impact for more than 1000 underrepresented youth and is tripling its impact in 2020 in partnership with Universities including Boston University, Princeton, Carnegie Mellon, UC Berkeley and companies like NVIDIA, Autodesk and Google.

What are the Arizona State University SummerUP AI4ALL dates and times?

Three Week Camp - June 14 – July 2, 2020

This is a virtual camp. Students must agree to attend all three weeks online.

Who can apply?

  • In order to be eligible for AI4ALL, you must be in 10th through 12th grade in high school in fall of 2020 (that means you are currently in 9th-11th grade in high school).
  • Have leadership skills and the potential to make broader impact.
  • Be passionate about creating an inclusive and diverse environment.

Is programming experience necessary?

No, all you need is a curiosity about AI and a desire to learn!

What is the cost of the program?

It is our goal to provide full scholarships to as many students as possible. Students who can pay full tuition are encouraged to apply to the program also. For everyone, there is a non-refundable $100 registration fee required of all students who attend the program.

How do I apply?

The application period for this camp is now closed.

How do I contact the program?

Send email to summerupcamps@asu.edu, subject line: AI4ALL

Before you apply to AI4ALL, please read over the information below:

1. In order to be eligible for AI4ALL, you must be in 10th through 12th grade in high school in fall of 2020 (that means you are currently in 9th-11th grade in high school).

2. You must be able to attend all three weeks of the program:  June 14 – July 2, 2020

If you are compliant with all of the above, proceed with the application below.

STEP 1: Click THIS LINK to submit your application. Please do not ask for any references to be submitted on your behalf until after you have completed your application. APPLY HERE

STEP 2: Once you have submitted your application, ask your two references to submit recommendations for you via THIS LINK

At least one reference must be a science or math teacher, you may choose to select an additional reference from a second, adult supporter who is not a family member (e.g. coach, summer program director, supervisor at work, etc.) Each adult you list must be willing to write a recommendation for you.

Once all your application materials have been received, you will receive an email confirming that your application is complete. If you have not received a confirmation email, keep checking with your teachers to ensure that they have submitted their recommendations. Note: Teachers who submit recommendations for you will receive an email confirmation, so if in doubt, ask them to forward you a copy of the confirmation they received.

Remember, it is your responsibility to make sure that all your materials are submitted so that your application can be considered for the program.

Dr. Mickey Mancenido is an assistant professor of statistics at the School of Mathematical and Natural Sciences in Arizona State University – Glendale. An industrial engineer by education and training, Dr. Mancenido’s advocacy is the sound application of statistics and data science in scientific and industrial research. Her research interests include the design of statistical experiments, quality control, measurement systems, statistical methods in the forensic sciences, and trust, fairness, and transparency of machine and deep learning algorithms.

Dr. Joel Nishimura's interests span Network Science, Dynamical Systems, Machine Learning and Mathematical Biology. Throughout, his research, Dr. Nishimura is drawn to questions of fairness, design and surprise, in systems where the accumulated effects of small rules is profound. He teaches and researches on the West Campus of Arizona State University in the School of Mathematical and Natural Sciences, in the New College of Interdisciplinary Arts and Sciences. Dr. Nishimura earned his Ph.D in Applied Mathematics from Cornell University in 2013, with adviser Eric Friedman and graduate committee members: Steven Strogatz, Jon Kleinberg, and Kevin Tang. While at Cornell, he also earned a M.S. in computer science from Cornell in 2012 and completed courses in Introduction to Wines, Culinary Arts, Riflery, Archery, Racquetball, Badminton and Entrepreneurship for Scientists and Engineers. In undergrad, he worked with Nathan Kutz at the University of Washington, graduating with a B.S. in mathematics in 2007 and earning the President's Medal for outstanding Freshman for the 2003-2004 year. He lives in Glendale Arizona with his wife, two daughters and dog Misty.

ASU Dr. Haitao Xu

Dr. Haitao Xu is an assistant professor in the School of Mathematical and Natural Sciences. His research focuses on the intersection of Cyber Security, User Privacy, and Data Analytics. His work on underground cybercrime investigation has been covered by multiple medias, including the Wall Street Journal and Forbes.

 

 


Dr. Yunpeng Zhao is an assistant professor in the School of Mathematical and Natural Sciences in New College of Interdisciplinary Arts and Sciences at Arizona State University. His primary research interest includes machine learning methodology and theory in network analysis with applications in biology and the social sciences. He is also working on high dimensional data analysis with applications in genomics.

Program Co-Directors

Dr. Feng Wang is a Professor of Applied Computing Program at the School of Mathematical and Natural Sciences at Arizona State University. She got her PhD degree from the University of Minnesota Twin Cities, her Master from Peking University, and her Bachelor degree from Wuhan University, all in Computer Science. She is interested in graph theory, algorithm design and optimization, social network analysis, and network security. She is a member of IEEE.

 

Dr. Kuai Xu is an Associate Professor of Applied Computing program at the School of Mathematical and Natural Sciences, New College of Interdisciplinary Arts & Sciences, Arizona State University West campus. Kuai Xu received Ph.D. degree in Computer Science from the University of Minnesota in September 2006, and B.S. and M.S. degrees in Computer Science from Peking University, China, in 1998 and 2001. Dr. Xu's research interests include network security, Internet measurement, big data, data mining, and machine learning.

 

 

Mansooreh Karami

 Mansooreh Karami is a 3rd year Ph.D. student at Arizona State University, working on employing deep neural networks for different artificial intelligent projects. She received her master's degree in computer engineering with a focus on artificial intelligence. Through her Master’s degree study, she had been working on 3D reconstructions algorithms in the field of machine vision. She is a passionate lecturer of AI and has been teaching core courses such as artificial intelligence, algorithm design, and signals and systems.

Adrian Avram - AI4ALL

Adrian Avram is a researcher, educator, and mathematician. He has a dual bachelors degree from ASU West in Applied Computing and Applied Mathematics, and has worked on several research papers concerning disease modeling and geotagging. Currently, he teaches high school math, but is aiming to be a college Professor once he finishes his Master’s degree in computer science. He was also one of the instructors at last year’s AI4ALL summer camp, focused on teaching Python. Outside of teaching, he enjoys playing guitar, going to the gym, and hiking.

Vishnu Pratzeek

 Vishnu Prateek Kakaraparthi is an engineer, researcher, and educator. He is a second-year Ph.D. Student in Computer Science at Arizona State University working on Data Science, User Experience, and Augmented Reality to solve real-world problems with partners from FedEx, Pizza Hut, Adidas, Amazon, Edgenuity. He holds a Master's degree in computer science from ASU. He committed to teaching from high school students to college seniors. Outside work, you can find him cooking, traveling, hiking, backpacking, and clicking photos.

 

 

Kumarage Tharindu Kumarage

 Tharindu Kumarage is a passionate researcher in the field of Computer Science. Machine Learning applications, in particular, the deep generative models have greatly influenced his work over the years, and he believes that investigating the potential for ML to augment human life is a worthy pursuit. Currently, Tharindu is a full-time academic researcher at Data Mining and Machine Learning Laboratory (DMML) of Arizona State University and a Graduate Teaching Assistant for the ASU School of Computing, Informatics, and Decision Systems Engineering.

 

 

Details

Registration Deadline: FULL

Applicants will be notified of decisions the week of April 13, 2020

When: Three Week Camp - June 14 – July 2, 2020

Where: West campus

Eligibility: Grade in Fall of 2020: 10th to 12th grades

Registration Fee: $100

ASU AI4ALL seeks to provide full tuition scholarships to as many students as possible, however all students accepted into the program must pay a $100 registration fee. These scholarships are made possible by AI4ALL Foundation and OnSemiConductor.

Full tuition: $100 registration fee

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For program inquiries, contact: summerupcamps@asu.edu or 602-543-6695