Artificial Intelligence/Machine Learning Symposium - AI Frontiers

Artificial Intelligence/Machine Learning Symposium - AI Frontiers: Innovations, Challenges and Future Directions in Applying Technologies to Interdisciplinary Artificial Intelligence Research

The Artificial Intelligence & Machine Learning Symposium is a premier gathering of researchers, exploring the latest advancements in artificial intelligence (AI) and machine learning (ML). This symposium serves as a platform for thought leaders to share innovative research, innovative applications, and emerging trends shaping the future of AI-driven technologies. Attendees will engage in panel discussions and technical sessions covering topics such as Natural Language Processing, Deep Learning,  AI and National Security, Machine Learning Fundamentals and Advances, Robotics and Autonomous Systems, AI in Health, AI in Environmental Sciences, Generative AI & Creative Applications,  Human Computer Interaction, AI Ethics, AI for Cultural and Historical Preservation, and real-world AI applications in healthcare, finance, cybersecurity, and beyond.  A central theme of the symposium is AI for Social Good and Interdisciplinary approaches to  emphasizing the role of artificial intelligence in addressing challenges in healthcare, cybersecurity, environmental sustainability, and equity.The symposium fosters collaboration between academia, industry, and government, promoting interdisciplinary dialogue on AI's societal impact, challenges in responsible AI development, and future research directions. With interactive discussions,  and networking opportunities, this event is an invaluable experience for AI professionals, researchers, students, and technology enthusiasts looking to stay ahead in the rapidly evolving AI landscape. 

Join us for an exciting exchange of ideas and innovations that will shape the next generation of intelligent systems! 

Presenters:  

• Dr. Anietie Andy, Assistant Professor, College of Engineering & Architecture 
• Dr. Imtiaz Ahmed, Assistant Professor, College of Engineering & Architecture  
• Dr. Saurav Aryal, Senior Research Scientist, Office of Research, HCAI Institute 
• Dr. Jeremy Blackstone, Assistant Professor,  College of Engineering & Architecture 
• Dr. Legand Burge III, Professor, College of Engineering & Architecture  
• Dr. Kofi Deh, Assistant Professor, College of Arts & Sciences  
• Dr. Harry Keeling, Associate Professor, College of Engineering & Architecture  
• Dr. Mirza Galib, Assistant Professor, College of Arts & Sciences   
• Dr. Jaye Nias, Senior Research Scientist, Office of Research, HCAI Institute 
• Dr, Shaolei Teng, Associate Professor, College of Arts & Sciences  
• Dr. Lucretia Williams,  Senior Research Scientist, Office, HCAI Institute