Papers by Sreyoshi Bhaduri
2021 IEEE Frontiers in Education Conference (FIE), 2021
In this Innovative Practice Full paper, we use an autoethnographic approach to describe first-han... more In this Innovative Practice Full paper, we use an autoethnographic approach to describe first-hand the experiences and learnings from launching an initiative to help school children, especially girls, familiarize themselves with STEM and cybersecurity. The primary authors and ethnographers are founders of STEM initiatives for young learners. One is a recent high school graduate who is now majoring in an engineering field as a college freshman and continues mentoring the program, and two others are at sophomore and junior levels in high school, currently leading these initiatives. With the help of three engineering educators, they use their individual self-narratives to develop a deeper understanding of the broad question of how STEM-related interactions with peers helped develop their own commitment to the professions of engineering and education. It is hoped that this work will be of value to fellow engineering professionals, minority engineering networks, as well as administrators...
arXiv (Cornell University), Jun 13, 2024
This review paper provides a comprehensive overview of large language model (LLM) research direct... more This review paper provides a comprehensive overview of large language model (LLM) research directions within Indic languages. Indic languages are those spoken in the Indian subcontinent, including India, Pakistan, Bangladesh, Sri Lanka, Nepal, and Bhutan, among others. These languages have a rich cultural and linguistic heritage and are spoken by over 1.5 billion people worldwide. With the tremendous market potential and growing demand for natural language processing (NLP) based applications in diverse languages, generative applications for Indic languages pose unique challenges and opportunities for research. Our paper deep dives into the recent advancements in Indic generative modeling, contributing with a taxonomy of research directions, tabulating 84 recent publications. Research directions surveyed in this paper include LLM development, fine-tuning existing LLMs, development of corpora, benchmarking and evaluation, as well as publications around specific techniques, tools, and applications. We found that researchers across the publications emphasize the challenges associated with limited data availability, lack of standardization, and the peculiar linguistic complexities of Indic languages. This work aims to serve as a valuable resource for researchers and practitioners working in the field of NLP, particularly those focused on Indic languages, and contributes to the development of more accurate and efficient LLM applications for these languages. * Work does not relate to position at Amazon. † Work does not relate to position at DeepSig Inc.
arXiv (Cornell University), Apr 20, 2024
The rise of deep learning has marked significant progress in fields such as computer vision, natu... more The rise of deep learning has marked significant progress in fields such as computer vision, natural language processing, and medical imaging, primarily through the adaptation of pre-trained models for specific tasks. Traditional fine-tuning methods, involving adjustments to all parameters, face challenges due to high computational and memory demands. This has led to the development of Parameter Efficient Fine-Tuning (PEFT) techniques, which selectively update parameters to balance computational efficiency with performance. This review examines PEFT approaches, offering a detailed comparison of various strategies highlighting applications across different domains, including text generation, medical imaging, protein modeling, and speech synthesis. By assessing the effectiveness of PEFT methods in reducing computational load, speeding up training, and lowering memory usage, this paper contributes to making deep learning more accessible and adaptable, facilitating its wider application and encouraging innovation in model optimization. Ultimately, the paper aims to contribute towards insights into PEFT's evolving landscape, guiding researchers and practitioners in overcoming the limitations of conventional fine-tuning approaches.
and a Professor in the Department of Engineering Education where she has also served in key leade... more and a Professor in the Department of Engineering Education where she has also served in key leadership positions. Dr. Matusovich is recognized for her research and leadership related to graduate student mentoring and faculty development. She won the Hokie Supervisor Spotlight Award in 2014, received the College of Engineering Graduate Student Mentor Award in 2018, and was inducted into the Virginia Tech Academy of Faculty Leadership in 2020. Dr. Matusovich has been a PI/Co-PI on 19 funded research projects including the NSF CAREER Award, with her share of funding being nearly $3 million. She has co-authored 2 book chapters, 34 journal publications, and more than 80 conference papers. She is recognized for her research and teaching, including Dean's Awards for Outstanding New Faculty, Outstanding Teacher Award, and a Faculty Fellow. Dr. Matusovich has served the Educational Research and Methods (ERM) division of ASEE in many capacities over the past 10+ years including serving as Chair from 2017-2019. Dr. Matusovich is currently the Editor-in-Chief of the journal, Advances in Engineering Education and she serves on the ASEE committee for Scholarly Publications.
is an Engineering Educator and People Research Scientist. Sreyoshi's expertise lies at the inters... more is an Engineering Educator and People Research Scientist. Sreyoshi's expertise lies at the intersection of workforce development, AI and emerging technology, and engineering education. As a Research Scientist in the tech industry, Sreyoshi leverages AI for mixed-methods research on and for people at work, ensuring that organizations intentionally center the human experience. Sreyoshi has spoken at over 100+ global venues, addressing diverse audiences ranging from academics, NSF PIs, industry leaders, entrepreneurs, and professionals to students or high-schoolers starting out with Computer Sciences, helping them strategize and broaden participation, as well as explore, understand, and apply emerging technologies. Sreyoshi is committed to broadening participation among underrepresented minorities in engineering and serves as a Senator at the Society of Women Engineers. She is also part of the Advisory Board at the College of Engineering at Virginia Tech and serves as an Advisor to the leadership at Sisters in STEM. Sreyoshi frequently collaborates on several National Science Foundation projects in the engineering education realm, researching engineering career trajectories, student motivation, and learning. Sreyoshi has been recognized as a Fellow at the Academy for Teaching Excellence at Virginia Tech (VTGrATE) and a Fellow at the Global Perspectives Program (GPP) and was inducted to the Yale Bouchet Honor Society during her time at Virginia Tech. She has also been honored as an Engaged Advocate in 2022 and an Emerging Leader in Technology (New ELiTE) in 2021 by the Society of Women Engineers. Views expressed in this paper are the author's own, and do not necessarily reflect those of organizations she is associated with. Learn more about Sreyoshi's
As a Research Scientist at Amazon, Sreyoshi leverages AI and mixed-methods research on and for pe... more As a Research Scientist at Amazon, Sreyoshi leverages AI and mixed-methods research on and for people at work, ensuring that organizations intentionally center the human experience. Sreyoshi has a doctorate in Engineering Education, and Masters degrees in Applied Statistics (M.A.) and Mechanical Engineering (M.S.). She earned her Bachelors degree in Mechatronics Engineering from Manipal University in India. Sreyoshi has been recognized as a Fellow at the Academy for Teaching Excellence at Virginia Tech (VTGrATE) and a Fellow at the Global Perspectives Program (GPP) and was inducted to the Yale Bouchet Honor Society during her time at Virginia Tech. She has also been honored as an Engaged Advocate in 2022 and an Emerging Leader in Technology (New ELiTE) in 2021 by the Society of Women Engineers. Sreyoshi is passionate about improving belonging among women in Engineering. She serves as Senator at SWE (Society of Women Engineers) -the world's largest advocate and catalyst for change for women in engineering and technology with over 42,000 global members. She also champions and serves as advisor at Sisters in STEM -a not-for-profit led by school students, aimed at increasing interest, engagement, and allyship in STEM. Learn more about her work at -www.ThatStatsGirl.com Amulya Mysore Amulya is a Data Scientist at Amazon. She is passionate about learning how data driven decisions can bring about tangible outcomes in the real world with the help of experimentation and statistical modelling. She has previously worked at Discover Inc and American Express and has a master's degree in computer science from Arizona state university.
College of Engineering at the Embry-Riddle Aeronautical University at the Daytona Beach campus. S... more College of Engineering at the Embry-Riddle Aeronautical University at the Daytona Beach campus. She earned her Ph.D. in Engineering Education from Virginia Tech (VT). She received her bachelor's and masters in Computer Science and Engineering. Her research is at the intersection of Engineering Education (EE) and Computing Education Research (CER) to advance personalized learning, specifically within the context of online learning and engagement, educational technologies, curriculum design which includes innovative and equitable pedagogical approaches, and support programs that boost the academic success of different groups of students. She teaches in active learning environments, such as project-based learning and flipped classrooms. She aims to bring EE and CER into practice.
and a Professor in the Department of Engineering Education where she has also served in key leade... more and a Professor in the Department of Engineering Education where she has also served in key leadership positions. Dr. Matusovich is recognized for her research and leadership related to graduate student mentoring and faculty development. She won the Hokie Supervisor Spotlight Award in 2014, received the College of Engineering Graduate Student Mentor Award in 2018, and was inducted into the Virginia Tech Academy of Faculty Leadership in 2020. Dr. Matusovich has been a PI/Co-PI on 19 funded research projects including the NSF CAREER Award, with her share of funding being nearly $3 million. She has co-authored 2 book chapters, 34 journal publications, and more than 80 conference papers. She is recognized for her research and teaching, including Dean's Awards for Outstanding New Faculty, Outstanding Teacher Award, and a Faculty Fellow. Dr. Matusovich has served the Educational Research and Methods (ERM) division of ASEE in many capacities over the past 10+ years including serving as Chair from 2017-2019. Dr. Matusovich is currently the Editor-in-Chief of the journal, Advances in Engineering Education and she serves on the ASEE committee for Scholarly Publications.
is an Engineering Educator and People Research Scientist. Sreyoshi's expertise lies at the inters... more is an Engineering Educator and People Research Scientist. Sreyoshi's expertise lies at the intersection of workforce development, AI and emerging technology, and engineering education. As a Research Scientist in the tech industry, Sreyoshi leverages AI for mixed-methods research on and for people at work, ensuring that organizations intentionally center the human experience. Sreyoshi has spoken at over 100+ global venues, addressing diverse audiences ranging from academics, NSF PIs, industry leaders, entrepreneurs, and professionals to students or high-schoolers starting out with Computer Sciences, helping them strategize and broaden participation, as well as explore, understand, and apply emerging technologies. Sreyoshi is committed to broadening participation among underrepresented minorities in engineering and serves as a Senator at the Society of Women Engineers. She is also part of the Advisory Board at the College of Engineering at Virginia Tech and serves as an Advisor to the leadership at Sisters in STEM. Sreyoshi frequently collaborates on several National Science Foundation projects in the engineering education realm, researching engineering career trajectories, student motivation, and learning. Sreyoshi has been recognized as a Fellow at the Academy for Teaching Excellence at Virginia Tech (VTGrATE) and a Fellow at the Global Perspectives Program (GPP) and was inducted to the Yale Bouchet Honor Society during her time at Virginia Tech. She has also been honored as an Engaged Advocate in 2022 and an Emerging Leader in Technology (New ELiTE) in 2021 by the Society of Women Engineers. Views expressed in this paper are the author's own, and do not necessarily reflect those of organizations she is associated with. Learn more about Sreyoshi's
His academic research interests include innovative teaching and learning strategies, use of emerg... more His academic research interests include innovative teaching and learning strategies, use of emerging technologies, and mobile teaching and learning strategies. Dr. Sreyoshi Bhaduri is an Engineering Educator and Research Scientist. She currently serves as a Senator at the Society of Women Engineers -a global not-for-profit organization with over 40,000 global members and the world's largest advocate for women in engineering and technology. Dr. Bhaduri has an interdisciplinary expertise with a Ph.D. in Engineering Education and Masters degrees in Statistics and Mechanical Engineering, from Virginia Tech. Her research interests include: future of work, women in technology, assessing the impact and effectiveness of inclusion and diversity initiatives as well as employing innovative, ethical and inclusive mixed-methods research approaches to uncovering insights about the 21st century workforce.
The engineering practice is dynamic in nature, increasing in complexity, enhancing in connectivit... more The engineering practice is dynamic in nature, increasing in complexity, enhancing in connectivity, and growing in need for convergence among disciplines. Given the shift in the dynamic nature of engineering practice, there is an opportunity within Systems Engineering for transforming into a transdisciplinary discipline. The purpose of this study is to conduct a systematic review of the literature to obtain a comprehensive understanding of how teamwork has been used or proposed as a competency in the systems engineering competency-based frameworks in order to align with the transformation of the discipline. The results of the systematic review yielded key themes related to teamwork which have been proposed for comprehending the change in systems engineering discipline. Furthermore, when these results are combined with our previous work on teamwork, we are able to conclude that this study provides valuable insights to both academia and industry in the understanding of teamwork skills...
Proceedings of the 2022 AERA Annual Meeting
2021 IEEE Frontiers in Education Conference (FIE), 2021
In this Innovative Practice Full paper, we use an autoethnographic approach to describe first-han... more In this Innovative Practice Full paper, we use an autoethnographic approach to describe first-hand the experiences and learnings from launching an initiative to help school children, especially girls, familiarize themselves with STEM and cybersecurity. The primary authors and ethnographers are founders of STEM initiatives for young learners. One is a recent high school graduate who is now majoring in an engineering field as a college freshman and continues mentoring the program, and two others are at sophomore and junior levels in high school, currently leading these initiatives. With the help of three engineering educators, they use their individual self-narratives to develop a deeper understanding of the broad question of how STEM-related interactions with peers helped develop their own commitment to the professions of engineering and education. It is hoped that this work will be of value to fellow engineering professionals, minority engineering networks, as well as administrators...
is an Engineering Educator and People Researcher. She currently heads Global People Research and ... more is an Engineering Educator and People Researcher. She currently heads Global People Research and Analytics at McGraw Hill, where she leads research leveraging employee data to generate data-driven insights for decisions impacting organizational Culture and Talent. Her research interests include assessing the impact and effectiveness of inclusion initiatives as well as employing innovative, ethical and inclusive mixed-methods research approaches using AI to uncover insights about the 21st century workforce. Sreyoshi is passionate about improving belonging among women in STEM and Engineering. She was recently elected as Senator at the Society of Women Engineers-a not for profit organization with over 42,000 global members and the world's largest advocate and catalyst for change for women in engineering and technology. She is also a member of the Society for Industrial and Organizational Psychology. Learn more about her work and get in touch at www.ThatStatsGirl.com.
Metacognition, defined as the knowledge and regulation of one’s own cognitive processes, is criti... more Metacognition, defined as the knowledge and regulation of one’s own cognitive processes, is critically important to student learning and particularly instrumental in problem-solving. Despite the importance of metacognition, much of the research has occurred in controlled research settings such that much less is known about how to help students develop metacognitive skills in classroom settings. Further, there are significant bodies of research on the role of metacognition in writing and solving math problems, but little work has been done on the role of metacognition within engineering disciplines. As part of a larger project to generate transferable tools that can be used to teach and evaluate undergraduate engineering students’ metacognitive skills, we are developing metacognitive indicators that instructors can use to assess their students’ metacognitive processes. We posit that these indicators will assist instructors in assessing if their students are engaging in the metacognit...
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Papers by Sreyoshi Bhaduri