AI Visionaries podcast
Time: September 21, 2024 | 10:00 am – 1:00 pm PST
Address: 4733 Chabot Drive, Suite 175, Pleasanton, CA
Seats are limited – Register NOW!
AI and the Future of Work: Unlocking Potential, Addressing Challenges
Welcome to the NJIT 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.
What You Will Learn
- Benefits of AI in Workplaces: How AI boosts efficiency, fosters innovation, and transforms operations.
- Drawbacks of AI in Workplaces: Potential challenges, including job displacement and ethical considerations.
- Upskilling Workers through Human-AI Collaboration: Strategies to integrate human skills with AI capabilities.
- Enabling Ethical Human-AI Collaboration: Principles for fostering a responsible and fair AI-driven workplace.
- Ongoing AI Efforts at NJIT: Insights into cutting-edge AI research and initiatives at NJIT.
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 discussion equips you with the tools and understanding to thrive in the AI-driven future of work.
About the Event
Hosted by NJIT, a leader in AI research, and ZINFI, a pioneer in Unified Partner Management (UPM) solutions, this 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: Senjuti Basu Roy
Senjuti Basu Roy is the Panasonic Chair in Sustainability and an Associate Professor in the Department of Computer Science at the New Jersey Institute of Technology (NJIT). Her research focuses on data management, data exploration, and Artificial Intelligence (AI), particularly human-AI analytics at scale.
She has published over 85 research papers in high-impact conferences and journals. Notably, she has received the NSF CAREER Award, was nominated for the Presidential Early Career Award for Scientists and Engineers (PECASE), and was one of 100 invited early career engineers by the National Academy of Engineering in 2021.
At NJIT, Professor Basu Roy leads the Big Data and AI Lab (BDAL). Her academic background includes roles at the University of Washington Tacoma and a postdoctoral fellowship at Rutgers University’s DIMACS. She earned her PhD and MS in Computer Science and Engineering from the University of Texas at Arlington (UTA) and a B.Tech from the University of Calcutta.
Research Interests
- Optimization in Human-in-the-loop Computations
- Responsible Data Management for AI
- Human-AI Teaming
- Data Mining and Exploration over Structured and Unstructured Databases
- Discrete Optimization and Algorithm Design
News and Achievements
- Acknowledged and Profiled as one of the three female researchers by Microsoft Research in Grace Hopper
- Computing Conference in 2014
- CAREER Award, National Science Foundation, 2020
- The Presidential Early Career Award for Scientists and Engineers (PECASE) Nomination, National Science Foundation, 2021
- Recognized as one of the 100 early career engineers by the National Academy of Engineers (NAE) in 2021
- Dissertation advisor of Dong Wei, winner of Joseph Leung Award for Best Computer Science Ph.D. Dissertation (2021-2022)
- YWCC’s (Ying Yu College of Computing) Annual Outstanding Achievement in Research Award (2022-2023)
- Distinguished Reviewer Award, PVLDB 2023
- Dissertation advisor of Sepideh Nikookar, winner of Joseph Leung Award for Best Computer Science Ph.D. Dissertation (2023-2024)
- Recipient of more than $4.5 million dollars of federal funding in the last 6 years
Industrial Experience
- Internships at Microsoft Research (2010) and IBM Research (2008)
Funding Sources
- NSF, ONR, NIH, Microsoft Research, and Multicare Health Systems support her research.
