Dr. Badri Adhikari of University of Missouri-St. Louis (UMSL)

Students today face a decision: how and when should they use AI tools for assignments? One approach to responsible AI use is focusing on the working process. This talk will introduce Process Feedback, a free web application that encourages students to reveal and examine their process. The application has built-in safeguarded AI features and works for writing, computer programming, Google Docs, and Google Colab. When the attention shifts to students' processes, a unique culture of learning begins to take shape. The talk will conclude with how teachers and students can begin using the resource immediately.

Biography:

Dr. Badri Adhikari is a Senior Member at IEEE and an Associate Professor in the Department of Computer Science at the University of Missouri-St. Louis (UMSL). At UMSL, he teaches Artificial Intelligence, Deep Learning, Interpretable Machine Learning, and Data Visualization. Dr. Adhikari’s research focuses on Bioinformatics, EdTech, and Deep Learning applications. He has received funding from NVIDIA, Google, NASA, and the US National Science Foundation. His research has been featured in prestigious journals, including Education Sciences and IEEE Frontiers in Education, focusing on topics like visualizing students’ writing process and integrating AI into education with safeguards.

Email:

Address:University of Missouri-St. Louis (UMSL), MO, St. Louis, Missouri, United States

Abhijeet Chaudhary of ADP

Topics and Abstract will be updated shortly.

Avi Vatsa

Biography:

Abhijit Choudhary is a seasoned Data Scientist with 20 years of experience in the software industry across multiple generations of data science—from classical statistical methods to transformer-based architectures, with a strong focus on NLP, machine learning, and AI-driven automation. Since the emergence of BERT, which marked the beginning of the transformer era in 2018, he has worked extensively on real-world NLP, NLU, and Generative AI projects, gaining deep hands-on experience with their evolution, promise, and limitations.

 He is currently a Senior Data Scientist at ADP, where he has played a pivotal role across several AI initiatives in various functional areas of payroll automation—delivering high-impact solutions at enterprise scale. Prior to ADP, Abhijit played critical roles in several greenfield, data science–driven projects for leading clients, including metadata smart search at J.P. Morgan, an early warning system at Salesforce, credit and business strategy analytics at Capital One, and loss mitigation strategy and risk/compliance for Truist.

 In addition to his product-focused data science experience, Abhijit brings a strong consulting background, having worked with Accenture Technology Consulting and Infosys Management Consulting Services—building trusted partnerships and solving complex problems across domains for leading clients across the USA, Singapore, and India.

Email:

Address:ADP, , Parsipenny , New Jersey, United States