Sunandan Chakraborty is an Associate Professor of Data Science at the Luddy School of Informatics Computing and Engineering at Indiana University Indianapolis. He is also the co-director of the Data To Action Lab.

Before joining IU Indianapolis, Sunandan was a Moore-Sloan Postdoc Researcher at the Center for Data Science at New York University. There, he worked with Jennifer Jacquet. Sunandan was also a visiting scholar at the Environmental Studies and affiliated with the Big Data Group and the Center for Technology and Economic Development (CTED). He completed his PhD from the Department of Computer Science of New York University in Fall 2015. His PhD supervisor was Lakshminarayanan Subramanian.

Projects

• Causality and Text
  • AI approaches for identifying dynamic clinical data patterns, causal links in text - Link
• Ai for conservation
  • Data science faculty receives $216K NSF grant to address wildlife trafficking - Link
  • Detecting Hotspots of Human-Wildlife Conflicts in India using News Articles and Aerial Images - Link
• AI in education
  • AI chatbot to increase cultural relevancy of STEM lessons, engage marginalized students - Link
  • A Novel AI-based Approach to Facilitate Code-Switching for AAVE Speaking Students - Link

Bio

Angela Murillo is an Assistant Professor at the Luddy School of Informatics, Computing, and Engineering, Department of Library and Information Science. She holds three bachelor’s degrees in Geosciences, English, and Spanish and a master's degree in Library and Information Science from the University of Iowa. She completed her Ph.D. in Information Science at the University of North Carolina at Chapel Hill. In 2017, she joined the Luddy School of Informatics, Computing, and Engineering to develop a new undergraduate program in Data Science, of which she is the Director. Additionally, the Director of the CI Compass Student Fellowship program and the co-director of the Luddy Helsinki Study Abroad program. Angela’s research focuses on data-related education, scientific data management, and data cyberinfrastructure.

Projects

• Data infrastructure and curation
  • CI Compass (Current Project)-Link
  • CI CoE Pilot (Past Project)-Link
• Data education and informal learning
  • Community data curation competency (Current Project)-Link
  • CI Compass Student Fellowship (Current Project)-Link

Bio

Ayoung Yoon is an Associate Professor at Luddy School of Informatics, Computing, and Engineering, Department of Library and Information Science, Indiana University Indianapolis (IUI). She was an RDA/US data share fellow for 2016-2017. She holds a PhD from the University of North Carolina at Chapel Hill and MIS from the University of Michigan. Her research areas include open data, community data, data curation, and data sharing/reuse. She is particularly interested in building community capacity for constructing effective infrastructure for data sharing and reuse through proper curation support.

Projects

• Data infrastructure and curation
  • Big data curation capacity building - Link
• Data for social good
  • Community open data engagement for public libraries (Current Project): - Link
  • Data for local community empowerment (Past Project)- Link
• Data education and informal learning
  • Community data curation competency (Current Project) - Link

Bio

Francesco Cafaro’s work is centered on the use of novel interaction techniques in support of STEM informal learning and cultural heritage. Specifically, he investigates how theories from learning, cognitive, and computer sciences can provide the scaffolding for the design of intuitive, embodied interactions. Cafaro’s recent efforts have focused on:

• Designing and implementing hand gestures and body movements for interactive museum installations that can help visitors to make sense of what they see on the screen.
• Defining design strategies to aid visitors in navigating multiple, complex historic narratives at outdoor cultural heritage campuses.
• Using tracking technologies in augmented mirrors for ballet studios.
• Cafaro’s multi-disciplinary research has involved the design and evaluation of prototype exhibits at Discovery Place in Charlotte, North Carolina, and for the Historic New Harmony program in southern Indiana.

Before joining our school as an assistant professor of human-computer interaction, Cafaro was a research assistant at the Learning Technology Group (Electronic Visualization Laboratory) of the University of Illinois at Chicago, where he served as a key collaborator on multi-disciplinary, federally-funded research projects. These efforts have produced prototype interactive exhibits for collaborative data exploration, first at the Jane Addams Hull House Museum in Chicago, and then at the New York Hall of Science in Queens.

Prior to joining IU Indianapolis, Ming obtained her Ph.D in Informatics at the University of Illinois Urbana-Champaign, working on research projects supported by HathiTrust Research Center. During her Ph.D. study, she interned at Deep Learning Group in Microsoft Research.

Bio

Ming Jiang’s research broadly focuses on trustworthy natural language processing and artificial intelligence. She is particularly interested in developing algorithms and resources to understand how humans and AI systems perceive information from digital objects such as texts and images. With an emphasis on human-centered application context, Ming's research aims to provide more inclusive and reliable NLP support for social good.

Prior to joining IU Indianapolis, Ming obtained her Ph.D in Informatics at the University of Illinois Urbana-Champaign, working on research projects supported by HathiTrust Research Center. During her Ph.D. study, she interned at Deep Learning Group in Microsoft Research.

Projects

• Title: Geo-Cultural Competence of Large Language Models for Intercultural Communication
  Description: This project focuses on augmenting the cultural awareness of large language models (LLMs) to facilitate the support of NLP systems in intercultural communication.
  Theme: Human-centered NLP

Bio

Khairi Reda is an Associate Professor of Data Science and Human-Centered Computing at the Luddy School of Informatics & Computing at Indiana University Indianapolis. His research explores how graphical data interfaces can foster scientific discovery, engagement, and positive social change. His work employs various methods, weaving together techniques from human-computer interaction, machine learning, and design thinking to investigate new approaches for visualizing and interacting with data.

Khairi's research has been recognized through Best Paper and Honorable Mention awards at premier graphics, visualization, and HCI venues. It has also been funded by grants from the NSF, NIH, and DOE national labs, including an NSF CAREER award. He also receives the Indiana University Research Trailblazer Award and the Luddy School of Informatics Research Excellence Award.

Current Research Projects

His research is currently focused on three main areas:

• Developing new tools and techniques to enhance the reliability of analyses within graphical data systems.
• Uncovering perceptual and cognitive factors that contribute to the accurate interpretation and communication of data displays.
• Leveraging computer graphics and visualization techniques in translational research to address pressing and impactful societal issues.

Bio

Saptarshi Purkayastha, Ph.D., is an Associate Professor (tenured) of Data Science and Health Informatics at Indiana University Indianapolis. He is the Program Director of the MS in Health Informatics at the Department of BioHealth Informatics. He has worked on projects in various computing topics in industry and academia and helped implement National Health Information Systems (HIS) in four countries under the auspices of the World Health Organization. His main area of focus has been discipline-based education research, where he combines active learning strategies with process-oriented guided inquiry learning (POGIL) in multi-disciplinary biomedical informatics classes that have students with backgrounds in medicine, nursing, computer science, business, economics, law, and pharmacy.

Dr. Purkayastha’s research interests are in teaching-learning infrastructures, EHR systems, mobile health information systems, health information interoperability, and information infrastructures. He has worked on innovative projects in varied topics of computing in industry and academia and helped implement National Health Information Systems (HIS), telemedicine, CAD applications, mHealth, real-time decision-making in robots, GPGPU acceleration, distributed video encoding, educational technology for dyslexics in multiple places around the world. He has worked as a consultant to ministries of health on behalf of WHO in the South-East Asia Region for the implementation of Health IS in countries like Bangladesh, Nepal, Bhutan, and North Korea. He teaches Biomedical data analytics, database design for health, EHR systems, health information exchange, and clinical decision support systems at IUI.