Host City USA: Bengaluru

Ricca Slone

Prof. Ricca Slone has been teaching graduate public policy courses in Northwestern University’s School of Professional Studies for the past 12 years. Most recently, she taught an online course on Congressional procedure in Fall 2023. Before teaching at Northwestern University, Prof. Slone worked on water-supply issues for three years at the Environmental Law & Policy Center, a research and advocacy organization based in Chicago which works in several U.S. Midwestern states. From 1997 to 2005, Prof. Slone served four terms as a state representative in the Illinois House of Representatives, representing the 92nd district in central Illinois. She also chaired the Higher Education Appropriations Committee and was the vice chair of the Energy & Environment Committee.

As a senior scholar near the end of her working years, Prof. Slone hopes to rejuvenate the Sun Oven project by relaunching the assembling and marketing of solar ovens from a new location in Karnataka so that they can help women in South India who cook over wood fires.

Prof. Slone’s Fulbright-Nehru project is identifying strategies to overcome Indian cultural challenges to adopting renewable technologies. The framework for analysis is Nordgren and Schonthal’s friction theory (The Human Element, 2022). The project’s focus is on adoption of clean solar cooking by rural Indian women who otherwise cook over smoky fires, which is time consuming and causes respiratory diseases and deforestation. The research is a case study comparing the relative ease of adoption of the following technologies: wind turbines for energy; electric tuk-tuks for mobility; and solar ovens for cooking. Prof. Slone’s hypothesis is that cooking will encounter the most cultural resistance.

Ramakanth Kavuluru

Dr. Ramakanth Kavuluru is a professor of biomedical informatics (Department of Internal Medicine) in the College of Medicine at the University of Kentucky (UKY). He also has a joint courtesy appointment in the Department of Computer Science at UKY. He graduated with a PhD in computer science in 2009 from UKY with a focus on the security properties of pseudorandom sequences. Subsequently, he worked in knowledge-based search systems for focused bioscience domains as a postdoctoral scholar at Wright State University. Since 2011, he has been working as a faculty member at UKY focusing on natural language processing methods and their use in biomedicine and healthcare.

High-level applications of Dr. Kavuluru’s research include cohort selection for clinical trials, literature-based knowledge discovery, computer-assisted coding, social media-based surveillance for substance abuse, and clinical-decision support for precision medicine. He employs methods from machine learning (including deep learning) and data mining fields to drive his research agenda. His recent methodological contributions deal with zero-shot and few-shot classification, large language models, transfer learning, domain adaptation, and end-to-end relation extraction. Thus far, in his capacity as primary advisor, he has helped seven doctoral students and 10 master’s students attain their graduation.

Predicting disease onset ahead of time is an important application of artificial intelligence (AI) and this is being actively pursued in the U.S. and other western nations. From a global health perspective, it is not clear if the implications of the findings of U.S. patient-based modeling translate to more populous and diverse areas of the world. Thus, using latest machine learning methods and data sets from Indian healthcare facilities, Dr. Kavuluru’s Fulbright-Nehru project is rigorously assessing how well the promise of AI holds when applied to the Indian patient setting compared to the simpler standard-of-care approaches to risk stratification.

Jasmeet Judge

Dr. Jasmeet Judge received her BS in physics from Stillman College, Alabama, and her MS in electrical engineering, and PhD in electrical engineering and atmospheric, oceanic, and space sciences from the University of Michigan. She is a professor in the Agricultural and Biological Engineering Department at the University of Florida, where she is also the director of the Center for Remote Sensing.

Dr. Judge’s research interests include microwave remote-sensing applications to terrestrial hydrology, crop development, and crop growth; electromagnetic models for dynamic agricultural terrains; and machine learning (ML) methods for spatio-temporal scaling and data-model fusion. For her research projects, she has received grants from NASA, the National Science Foundation, and the U.S. Department of Agriculture. She has led many field experiments with active and passive microwave sensors to develop/improve remote sensing, crop growth, hydrology, and ML algorithms. Dr. Judge has also won NASA Group Achievement Awards for interdisciplinary field campaigns. She has over 70 journal publications, three co-authored books, and numerous conference and invited presentations to her credit.

In addition to research, Dr. Judge has been active in advocating for the protection of the EM spectrum as the past member, vice chair, and chair of the National Academies Committee on Radio Frequency. She is also a member of the American Geophysical Union and a senior member of the IEEE Geoscience and Remote Sensing Society, where she has served in different roles on many committees for the past three decades.

Dr. Judge’s Fullbright-Kalam project is being carried out in collaboration with researchers in the Interdisciplinary Center for Water Research at the Indian Institute of Science in utilizing data from the upcoming NASA ISRO Synthetic Aperture Radar (NISAR) mission for the availability of timely soil and crop information in India. In addition, she is training the next generation of Indian scientists in microwave remote sensing.