AI Visionaries Networking Event
Time: December 7, 2024 | 10:00 am – 2:00 pm PST
Address: 4733 Chabot Drive, Suite 175, Pleasanton, CA
Seats are limited – Register NOW!
AI and the Future of Work
Welcome to the New Jersey Institute of Technology AI and Future of Work in-person networking event, where we explore how AI is reshaping workplaces and the balance of its benefits and challenges.
Why You Should Attend
AI is revolutionizing industries by enhancing efficiency, reducing errors, and streamlining operations. However, it also raises concerns about job displacement and income inequality. Our in-person discussion addresses these issues, highlighting a new paradigm of human-AI collaboration, where the harmony of human creativity and AI intelligence drives unparalleled productivity.
Join the Networking Event
Gain valuable knowledge and actionable insights from leading AI and high-performance computing experts. Whether you’re a professional, researcher, or student, this event equips you with the tools and understanding to thrive in the AI-driven future of work.
About the Networking Event
Hosted by New Jersey Institute of Technology, a leader in AI research, and ZINFI, a pioneer in Unified Partner Management (UPM) solutions, this networking event features thought leaders, industry experts, and academic pioneers discussing AI’s impact on workplaces and society. We aim to foster collaboration, knowledge sharing, and innovation in AI and high-performance computing through engaging talks and expert analyses.
Be a part of the future. Register today and join us on an enlightening journey into the AI-driven transformation of work.
Speaker Bio: Jamie Payton
Dr. Jamie Payton is the Dean of Ying Wu College of Computing (YWCC), New Jersey Institute of Technology’s largest college. She is the former chair of Temple University’s Department of Computer and Information Sciences. Her research focused on pervasive computing systems for smart health and well-being, broadening participation in computing, and evidence-based improvements in computer science education.
Before joining Temple University, she was a faculty member in the Department of Computer Science at the University of North Carolina at Charlotte.
As the Principal Investigator (PI) and director of the STARS Computing Corps, a national alliance of over 50 institutions, Dr. Payton led efforts to expand participation in computing. Through STARS, over 2,500 college students engaged in service-learning projects with regional K-12 schools, industry, and community partners, preparing more than 140,000 future students for computing education.
Additionally, Dr. Payton directed the NSF-funded Socially Relevant Computing Research Experiences for Undergraduates (REU) Site at UNC Charlotte and later the REU Site in Pervasive Computing for Smart Health, Safety, and Well-being at Temple. Her work supported her role as co-PI on the Connected Learner project, a $2 million NSF-funded initiative to transform undergraduate computer science education. She also served as co-PI and director of broadening participation for the NSF AI Institute for Inclusive and Innovative Technologies for Education (INVITE), advancing opportunities to develop knowledge of AI and foster a diverse AI workforce.
Research Interests
- Incentive mechanisms for participatory sensing: Survey and research challenges
- The impact of component architectures on interoperability
- An overview of UPnP-based IoT security: threats, vulnerabilities, and prospective solutions
- Semantic self-assessment of query results in dynamic environments
- Modeling adaptive behaviors in context UNITY
- The effects of integrating service learning into computer science: An inter-institutional longitudinal study
- Crowdsensing: Embracing best practices for and Simplifying Creation of Participatory Sensing Applications
- Gander: A search engine for Dynamic Pervasive Computing Networks
- Query Fidelity: Formal semantics of Query Processing in Dynamic Pervasive Computing Environments
- GameChanger: Promoting Health and Well-Being with Social Exergames
- Middleware: Programming Support for Context-aware Applications
- Formalizing Context: Formal Models for Context-awareness
News and Achievements
- New Jersey Institute of Technology Names Temple’s Jamie Payton to Lead Its College of Computing
