With Artificial Intelligence (AI) saturating many aspects of our lives (e.g., smart speakers, voice recognition) and the prediction that in the future AI will a playing a more significant role in our everyday lives, it’s no wonder why AI is so popular. As a consequence, the UT Dallas CS Department was motivated to host an AI Conference for students, academics, and industry members this past April. The conference’s mission was to provide undergraduate students, graduate or Ph.D. students, academics, and engineers from industry with exposure to the most recent advances and developments in the field of AI and Machine Learning. The Conference included hands-on workshops, a panel discussion on AI Industry trends, with industry speakers from Google, Adobe, General Motors, Microsoft, Parkland Center for Clinical Innovation (PCCI), Trend Micro, Digital Twin Labs, Infosys, GoAskJay, Harman Connected Services, and more. The event was sponsored by the UT Dallas CS Department, the Naveen Jindal School of Management, and the UT Dallas AI Society.
The Conference began with three parallel workshops in the morning followed by a panel discussion and technical and use-case talks led by prominent speakers from both industry and academia with networking opportunities throughout the day. The workshops, which are led by AI practitioners and professionals, worked to inspire its attendees while helping them to learn and build their skill set as well as grow their professional networks. The following is a list of the hands-on workshops included in the 2019 AI Conference, click here to read a more in-depth description of each workshop.
- Deep Learning with TensorFlow – Anurag Nagar, UT Dallas
- Machine Learning with Python – Nikhil Pareek, UT Dallas
- Analytics with MS Excel – Kannan Ramanathan, UT Dallas
The conference started with a panel discussion by AI experts. Panelists addressed AI industry trends and the revolutionary way that artificial intelligence impacts everyday life. The panel discussion was followed by two parallel sessions—one on technical and foundational aspects of AI and another one on use-cases. The invited talks featured speakers who have directly contributed to successful AI and Machine Learning applications in their respective fields. The following is a list of the talks from the 2019 AI Conference, click here to read a more in-depth description of each talk.
- Reimagining “Care” in Healthcare using Al – Priyanka Kharat, Parkland Center for Clinical Innovation (PCCI)
- The Effects Of Al/ML In Cybersecurity – Brandon Niemczyk, Trend Micro
- Automated Object Detection and Robotic Software for Onboarding Listing Features for Digital Marketplaces – Ganapathy Subramanian, lnfogain
- Al in lnsureTech Market – Where is it going? – Uni Rosales Yost, GoAskJay
- Voice of a Vehicle – Greg Bohl, Harman Connected Services
- Future of Driving and Al – Meltem Ballan, General Motors
- AI/ML & IPA Cognitive Automated Solutions – Chithrai Mani, Infovision
- Azure Cognitive Services and the J.F.K Files – Kenny Kinder and Ray Rios, Microsoft
- Patterns and Field Practices in Frontier Technologies with Al – Gurvinder Ahluwalia, Digital Twin Labs
- Al’s Role in Personalized Care (Life Sciences) – Raj Pallapothu, Bayer & Bio9 Ventures
- Implications of ML, Al and Distributed Ledgers in the Quantum Information Age – John Hooks, Spectramesh
- Digital Transformation using Cloud, Al/ML and Data Analytics – Logan Vadivelu, Google
- Al and Digital Assistant for Enterprise Workforce Collaboration – Ramesh Lakshmanan, Infosys
- Deep-dive into Real-time Sepsis Predictions – Zhijie (Jet) Wang, Parkland Center for Clinical Innovation (PCCI)
- Enterprise Al and Deep Learning with Mobile Technologies – Carlos Lara, Poincare Group
- The Art of Building & Extracting Intelligence from Digital Assets – Suren Konathala, Adobe
- Human Allied Artificial Intelligence – Devendra Dhami, UT Dallas Doctoral Student in CS
- Conversational Al – Priyanath Maji and Ganesh S, Infosys
- Bots in Workplaces – Nipun Sharma, UiPath
Click here to view photos from the 2019 AI Conference.
ABOUT THE UT DALLAS COMPUTER SCIENCE DEPARTMENT
The UT Dallas Computer Science program is one of the largest Computer Science departments in the United States with over 2,800 bachelors-degree students, more than 1,000 master’s students, 190 Ph.D. students, 52 tenure-track faculty members, and 41 full-time senior lecturers, as of Fall 2018. With The University of Texas at Dallas’ unique history of starting as a graduate institution first, the CS Department is built on a legacy of valuing innovative research and providing advanced training for software engineers and computer scientists.