Indian Institute of Science Archives

Sandip Mazumder

Dr. Sandip Mazumder is professor and associate chair of mechanical and aerospace engineering at The Ohio State University (OSU). He joined OSU in March 2004. Prior to OSU, he was employed at the CFD Research Corporation in Huntsville, AL, for seven years. He is one of the architects and early developers of the commercial code, CFD-ACE+™. His research is computational in nature and spans three main areas: computational fluid dynamics and heat transfer emphasizing on chemical reactions, with applications in combustion, catalytic conversion, fuel cells, batteries, and chemical vapor deposition; thermal radiation and its applications; and non-equilibrium transport phenomena as occurring in nanoscale systems. He has been active in raising awareness about global warming and climate change among engineering students and the general public through his classroom teaching and seminars. Dr. Mazumder is the author of two graduate-level textbooks, more than 65 journal papers, and over 65 peer-reviewed conference publications. He is the recipient of the McCarthy Engineering Teaching Award and the Lumley Research Award from the OSU College of Engineering. He has also been a fellow of the American Society of Mechanical Engineers since 2011.

In light of the fact that the U.S. and India are ranked second and third, respectively, among the highest carbon dioxide-producing nations, Dr. Mazumder’s Fulbright-Kalam project involves a collaborative one-semester part-teaching, part-research stint at the Indian Institute of Science (IISc), Bengaluru. For this, he is creating and deploying two modules with the objective of increasing awareness about global warming and its causes among the future engineering workforce in both the countries. While the teaching module has a short ambit, the research module, titled “Hierarchical Models for Atmospheric Solar Radiation Transport and Earth’s Temperature Predictions”, is attempting to answer long-standing questions on the impact of greenhouse gases on global warming.

Caroline Troy

Caroline Troy is a recent graduate of Brown University where she earned her BSc in environmental science, with a focus on conservation science and policy. For her senior honors thesis, she researched environmental predictors of biogeographical variations in woodpecker drumming. She has interned with the Smithsonian Conservation Biology Institute’s ForestGEO program, Brooklyn College’s Urban Ecology and Environment NSF REU, Morgan State University’s Patuxent Environmental & Aquatic Research Laboratory, New York City Department of Parks and Recreation, and the Brown University Herbarium.

For her Fulbright-Nehru project, Caroline is researching the effect of urbanization on bat diversity in South India. In this context, she is carrying out passive acoustic monitoring across undeveloped to highly urbanized bat habitat sites in and around Bengaluru. India is home to around 130 bat species. However, these remarkable mammals are threatened by habitat loss due to urbanization, logging, and agriculture. It is estimated that a quarter of the bat species in India are vulnerable or endangered. In order to create effective conservation strategies, Caroline is examining which bat species can coexist with humans in developed regions and which may be threatened without habitat preservation.

Anish Bagga

As a graduate from Emory University with aspirations of entering the medical field and a passion for mathematics and computer science, Anish Bagga seeks to connect the medical world with math and machine learning. By bridging these fields, he hopes to bring a unique approach to patient care and medical research. At Emory, he was involved with the Emory International Relations Association as the head delegate of the Model UN team and also helped found Oxford’s Asian Pacific Islander Desi American Activist organization. Anish’s current research involves modeling influenza reassortment, building a computational model of the human thyroid hormone, and using machine learning to reconstruct electrocardiography profiles. His research in influenza resulted in a publication which stated that avian hosts do not stringently select against less-fit influenza A virus (IAV) strains, thus facilitating the reassortment of diverse IAVs which increases the likelihood of zoonosis. His second publication regarding influenza A reassortment ascertained that the respiratory structure within a host like swine could support increased diversity through reassortment; this he did through the construction of reassortment simulations in non-compartmentalized respiratory systems and compared its results to the data from the extensively compartmentalized swine lungs. Based on the results, it was determined that compartmentalization does not increase viral diversity; instead, it provides pockets where viruses that are less fit for swine but more fit for humans can thrive. The research helped elucidate the importance of swine in the 2009 H1N1 “swine flu” pandemic.

Vaccines elicit a stronger immune response through the injection of a weakened virus which facilitates the formation of germinal centers containing a viral fragment: i.e., an antigen. In affinity maturation, B cells with B cell receptors (BCRs) that strongly bind to the antigen are selected for. These B cells secrete antibodies identical to their BCRs which bind to the viral components during infection, thus marking the virus for destruction. The more selective this process, the greater the antibody binding affinity, and thus a greater future immune response. To optimize the influenza A vaccine, a stochastic simulation of affinity maturation is also being developed during the study.

Karen Daniels

Prof. Karen Daniels is a distinguished professor of physics at North Carolina State University. She received her BA in physics from Dartmouth College in 1994, taught middle and high school for several years, and then pursued a PhD in physics from Cornell University. After receiving her doctorate in 2002, she moved to North Carolina to do research at Duke University and then joined the faculty at NC State in 2005. In 2011–2012, she received an Alexander von Humboldt fellowship which allowed her to spend the year conducting research at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany. She has served as chair of the American Physical Society Division on Soft Matter, and as divisional associate editor for Physical Review Letters, and currently serves on the editorial board of the Annual Reviews of Condensed Matter Physics. She is also a fellow of the American Physical Society and of the American Association for the Advancement of Science.

Her main research interests center around experiments on the non-equilibrium and nonlinear dynamics of granular materials, fluids, and gels. These experiments have allowed her lab to address questions of how failure occurs, how non-trivial patterns arise, and what controls the transitions between different types of flows or material properties. When not working with her students on experiments in the lab, Prof. Daniels likes to spend time in the outdoors, which leads her to contemplate on the implications of her research for geological and ecological systems. In her work, she has often idealized systems to provide insights into industrial and natural processes of interest to engineers and earth scientists.

In her Fulbright-Nehru fellowship, Prof. Daniels is collaborating with scientists and engineers – both at the Indian Institute of Science (IISc) and beyond – on the mechanics of granular materials, a class of materials such as soils, agricultural grains, and pharmaceutical powders which exhibit both solid-like and liquid-like behaviors. Her aims are to investigate the regime near the transition in those behaviors; develop new experiments which quantify the mechanisms through which the inclusion of rigid fibers modifies the material’s strength; and make flow predictions through both statistical and continuum models. In teaching IISc students, she is developing open-source teaching materials with a focus on experimental methods.

Meenakshi Singh

Dr. Meenakshi Singh is a condensed matter experimentalist with her research focused on macroscopic quantum phenomena, quantum coherence, and quantum entanglement. She received her PhD in physics from Pennsylvania State University in 2012. She went on to work at Sandia National Laboratories on quantum computing as a postdoctoral scholar. At Sandia, she worked with a team focused on developing deterministic counted ion implants for quantum computing.

Since 2017, she has been an assistant professor in the Department of Physics at the Colorado School of Mines. Her research projects include measurements of entanglement propagation, phonon physics in quantum dots and donors in semiconductors, and thermal effects in superconducting hybrids. Her research work in these areas has been published in more than 20 peer-reviewed journal publications and cited more than 900 times. She is the recipient of the prestigious CAREER award (2021–2026) from the National Science Foundation. Dr. Singh is also involved in nationwide educational efforts to build a quantum workforce through curriculum development, alliance building, and workshop organization. At the Colorado School of Mines, she has taught undergraduate and graduate courses in digital electronics and microelectronics processing.

Through this Fulbright-Nehru award, Dr. Singh aims to achieve research, pedagogical, and cultural objectives. The research objective is to perform cutting-edge thermal measurements that can bring new insights into our understanding of fundamental physics in quantum materials and devices and thus catalyze novel applications. The pedagogical objective is to establish a graduate-student exchange program between the Colorado School of Mines and the Indian Institute of Science. Through student exchange, she expects the researchers at the two universities to collaborate on quantum information science research while training the “quantum workforce” of tomorrow. As for her cultural objective, it involves harnessing the two countries’ shared interests in quantum information science to engage in meaningful cultural exchange.

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.