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The primary mission of the GSU Student Chapter of the ACM is to provide a series of lectures, events, and field trips throughout the regular school year to promote the education and professional development of students as well as faculty members.

Georgia State Student Chapter of ACM

The primary mission of the GSU Student Chapter of the ACM is to provide a series of lectures, events, and field trips throughout the regular school year to promote the education and professional development of students as well as faculty members.

Upcoming Events

Topic Speaker Time
GSU Googe TensorFlow Workshop Day Robert Martin 02/23/2018 - 1:00pm
Cloud Native App Development & What to learn in additional to Computer Science Jake Hadden 03/01/2018 - 12:00pm
UPS Recruitment Drive Victor Huang and UPS Lawyers 03/21/2018 - 5:30pm
Data Science: Challenges and Opportunities Semir Sarajlic 04/04/2018 - 12:00pm

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Past Events

Intelligent Edge : Introduction to a comprehensive IoT solution

Speaker: 
Dr. Devanand Kondur
Affiliation: 
VMware
Time: 
Tuesday, February 13, 2018 - 12:00pm to 1:00pm
Location: 
Student Center East Room 217
Spring
2018

IoT, despite being around for some time now is yet to fully deliver on its potential. Most of IoT services have been about onboarding devices, maintaining gateways, grouping devices, provisioning to devices and to a certain extent analytics of data from devices. It is in acquiring, processing, reacting and intelligent forecasting based on this data in an efficient, real time manner that the potential of IoT lies. Also, the data thus collected needs to be transmitted through secure channels, as well as stored in a secure manner.

Speaker's Bio: 

Dr. Devanand Kondur has over 25 years of experience in the software industry and currently works in the IoT division at VMware. He is involved in exploring new ways to enhance and improve IoT solutions. Dr. Kondur obtained his Masters (1992) and Doctorate in Structural Mechanics from Texas Tech University (1995). He has worked in many industry verticals including the Airline industry and Supply Chain Management. His pastimes include reading, sports and DJ'ing for parties.

Scaling Up Deep Learning for NLP

Speaker: 
Dr. Jonathan Shihao Ji
Affiliation: 
Associate Professor, GSU
Time: 
Thursday, February 1, 2018 - 5:30pm to 6:30pm
Location: 
Student Center East Room 217
Spring
2018

In this talk, I will talk about some of my recent research in the area of deep learning for NLP, especially how to scale up deep NLP algorithms through approximation and HPC techniques. I will show that with appropriate approximation techniques, we can not only speed up the training of deep learning algorithms but also improve their predictive accuracy. Typical deep learning NLP algorithms, such as word2vec, neural language modeling, and neural machine translation will be covered.

Speaker's Bio: 

Dr. Jonathan Shihao Ji is an Associate Professor in the CS department at Georgia State University. His principal research interests lie in the area of machine learning and deep learning with an emphasis on high-performance computing. He is interested in developing efficient algorithms that can learn from a variety of data sources (e.g., image, audio, and text) on a large scale and automate decision-making processes in dynamic environments. Dr. Ji received his PhD in Electrical and Computer Engineering from Duke University in 2006. After that he was an research associate at Duke for about 1.5 years. Prior to joining GSU, he spent about 10 years in industry research labs.

Amazon Web Services Hands On Workshop

Speaker: 
Craig Williams
Affiliation: 
Amazon
Time: 
Monday, November 13, 2017 - 10:00am to 4:00pm
Location: 
Conference Room, Department of Computer Science, 25 Park Place
Fall
2017
 
The Department of Computer Science, in conjunction with ACM and IEEE student chapters at GSU, is organizing a day long workshop on Amazon Web Services (AWS). We are excited to have Craig Williams from AWS, who is a specialist in AWS and a Partner Solutions Architect and IoT specialist. He will be delivering a seminar talk and a workshop on AWS over a day long workshop that will cover the following:
 
Speaker's Bio: 

Craig is a Partner Solutions Architect & IoT Specialist for Amazon Web Services and is responsible for IoT architecture programs and workshops within his team. He has 25+ years of IT experience with over 10 years focused on cloud technologies. Craig has a Digital Systems Engineering background and ran a software and networking company in South Africa before working in London, Amsterdam, Belgium and now the US doing application development, system administration, networking, disaster recovery design and performance profiling. Craig has done a prodigious amount of architectural and coding implementation work for a variety of clients regarding: Cloud Architecture/Development, CRM, Inventory Management, Ecommerce, Reporting, Billing, Risk Analysis, Banking, Payments Processing, Mobile & WAP, Web Services, Database architecture and analysis, hardware infrastructure and many related IT implementation and execution fields.

HPCC - Big Data Platform and Use Cases

Speaker: 
Dr. Flavio Villanustre
Affiliation: 
LexisNexis Risk Solutions
Time: 
Wednesday, November 8, 2017 - 12:00pm to 1:00pm
Location: 
Student Center East Room 217
Fall
2017

There is a significant hype around data analytics and Big Data.

Speaker's Bio: 

Dr. Flavio Villanustre leads HPCC Systems, and is also VP, Technology for LexisNexis Risk Solutions. In this position, he is responsible for Information Security, overall platform strategy and new product development. Dr. Villanustre is also involved in a number of projects involving Big Data integration, analytics, machine learning and business intelligence.

Artificial intelligence using GPU

Speaker: 
Kurt Schmidt and Jeff Layton
Affiliation: 
Nvidia
Time: 
Thursday, October 26, 2017 - 12:00pm to 1:00pm
Location: 
Student Center East Room 217
Fall
2017

Data scientists in both industry and academia have been using GPUs for AI and machine learning to make groundbreaking improvements across a variety of applications including image classification, video analytics, speech recognition and natural language processing. In particular, Deep Learning - the use of sophisticated, multi-level "deep" neural networks to create systems that can perform feature detection from massive amounts of unlabeled training data - is an area that has been seeing significant investment and research.

Speaker's Bio: 

Jeff Layton is a Senior Solution Architect in the Worldwide Field Organization and a Certified Deep Learning Institute (DLI) Instructor at NVIDIA. His primary roles are to support high performance computing and deep learning with AI. He is focused on applying Deep Learning within Artificial Intelligence. Prior to joining NVIDIA, Jeff spent time at Amazon Web Services and Dell providing high performance computing architecture and computational science support to government and educational organizations. Jeff holds a Ph.D. in Aeronautical and Astronautical Engineering from Purdue University. He is also an active contributing writer to ADMIN Magazine, ADMIN Magazine (http://www.admin-magazine.com/ ) as well as HPC ADMIN Magazine (http://www.admin-magazine.com/HPC), in addition to Quinstreet (http://www.enterprisestorageforum.com/ ).

Google Cloud - serverless technology for data analytics and machine learning

Speaker: 
Robert Martin
Affiliation: 
Google
Time: 
Thursday, October 12, 2017 - 12:00pm to 1:00pm
Location: 
Student Center East Room 217
Fall
2017

One of the significant challenges of processing data at scale is management and upkeep of the underlying compute and storage infrastructure.  Hadoop emerged as an innovative solution to horizontally analytic horsepower with commodit

Speaker's Bio: 

Robert Martin is a Cloud Customer Engineer for Google, working with companies from small startups to the largest enterprises to harness the power of Google Cloud Platform.  Robert has worked previously as a software developer, architect, and IT director in financial services, law enforcement, and satellite telecommunications.  Robert graduated with a BS in Computer Science from Georgia Tech and is currently pursuing an MS in Analytics from Georgia Tech.

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