Prof. Dr. vasavi S | Computer Science | STEM Education Leadership
Professor & Head at Velagapudi Ramakrishna Siddhartha Engineering College, India
Dr. S. Vasavi, Professor and Head of the AI & DS Department, boasts a robust 27-year career in teaching and research. Her work spans extensive funded projects with organizations such as ISRO, DST, and IEEE, totaling approximately 1.3 crores INR. Dr. Vasavi collaborates with international universities and national R&D institutions on projects in remote sensing, predictive analytics, and big data, producing more than 100 publications in SCI, Scopus, and Google Scholar-indexed journals, along with several patents. Recognized with numerous awards, she is an influential figure in the field, committed to developing educational programs and advancing AI applications in STEM.
professional profiles
Education 
Dr. Vasavi has a robust academic foundation with advanced degrees in Computer Science and Engineering. She pursued her undergraduate studies in Computer Science and later obtained her M.Tech, specializing in Artificial Intelligence and Data Science. Following her master’s, she completed a Ph.D., with research focusing on AI-driven solutions in remote sensing and data analytics. Her continuous professional development includes specialized training and certifications from global institutions, broadening her expertise in areas like geospatial analysis, drone technology, and cloud data analytics. Dr. Vasavi has also been a visiting scholar at prominent institutions such as Illinois State University and Saint Augustine’s University in the United States. Her education has played a critical role in forming her research approach, blending technical expertise with a passion for solving real-world problems. This educational background has laid the groundwork for her impactful research contributions to AI applications and interdisciplinary STEM fields.
work Experience
Dr. S. Vasavi brings a diverse and rich experience portfolio, with 26 years in academia and one year in industry. Currently, she is the Head of the AI & DS Department at VR Siddhartha Engineering College, where she has spearheaded multiple funded projects and collaborated with renowned institutions like ISRO and NRSC. Her international collaborative research with universities across the U.S., Singapore, Canada, and Mexico has led to impactful publications and solutions in geospatial analysis, disaster management, and healthcare analytics. As an active member of various IEEE groups, she has chaired sessions and delivered keynote lectures at significant conferences worldwide, enhancing her global research network. Dr. Vasavi’s blend of academic, research, and administrative roles positions her as a key driver in advancing AI and data science education, and she continues to inspire her students by guiding them through hands-on research and industry-driven projects.
Awards and honors
Dr. Vasavi’s achievements have been recognized through numerous awards. She has received the Best Teacher Award and Outstanding Women in Engineering Award for her contributions to STEM education and research. Her groundbreaking research has earned her accolades such as the Best Paper Award at the IEEE IEMCON conference at the University of British Columbia, Canada, and at ICACI 2020 in Mysore, India. She is also an honored Senior Member of IEEE and received travel grants for presenting her work in the U.S. and Thailand. Dr. Vasavi’s exceptional contributions in AI have earned her the title of Academic Titan Achievement Award and Vishitta Mahila Award, celebrating her role as a trailblazer in engineering and education. Furthermore, as an Honorary Rosalind Member of London Journals Press, Dr. Vasavi’s influence extends internationally, reinforcing her position as an esteemed researcher and advocate for women in STEM.
Research Focus
Dr. Vasavi’s research spans multiple domains within AI, with a core focus on remote sensing, predictive analytics, and big data. She collaborates extensively on AI-driven projects addressing societal issues, such as disaster management, environmental sustainability, and healthcare innovations. Her ongoing work includes developing algorithms for urban GIS change detection, multi-object detection using edge computing frameworks, and crowd surveillance through hybrid deep learning. Dr. Vasavi’s interdisciplinary research bridges the gap between academia and industry, partnering with institutions like ISRO and the National Remote Sensing Center (NRSC) to create impactful AI applications in space and geospatial analysis. Her involvement in drone-based video processing and climate change analysis emphasizes her dedication to using AI for real-world solutions. With her guidance, these projects not only enhance AI applications but also foster meaningful research opportunities for her students and collaborators, advancing STEM education in the process.
Skills
Dr. Vasavi’s skill set encompasses a wide range of technical and research abilities. She is proficient in Big Data Analytics and Predictive Analytics, leveraging tools like Hadoop, MongoDB, and Spark for large-scale data processing. Her expertise in Remote Sensing allows her to apply AI techniques to analyze high-resolution images and develop models for urban change detection. She is skilled in Deep Learning and Computer Vision for applications in surveillance and object detection, using frameworks like TensorFlow and OpenCV. Her knowledge extends to Cloud Computing and Edge Computing, with experience in real-time processing for satellite data. Dr. Vasavi’s project management and collaboration skills have enabled her to lead funded research projects and international partnerships successfully. Additionally, her communication and leadership skills are evident through her role as an educator, mentor, and active participant in conferences, solidifying her position as an influential leader in AI and STEM education.
Conclusion
Dr. S. Vasavi’s extensive experience, international collaborations, funded projects, and high-impact research position her as a strong candidate for the STEM Education Leadership Award. Her work demonstrates excellence in advancing STEM-related research and applications, particularly in AI and remote sensing. With a slight increase in educationally-focused initiatives, Dr. Vasavi’s profile would align even more closely with the award’s emphasis on leadership in STEM education, potentially making her an ideal recipient for this honor.
Publications to Noted
“Invariant feature-based darknet architecture for moving object classification”
Authors: S. Vasavi, N.K. Priyadarshini, K. Harshavaradhan
Citations: 59
Year: 2020
“Extracting hidden patterns within road accident data using machine learning techniques”
Authors: S. Vasavi
Citations: 31
Year: 2018
“Study on Techniques for Providing Enhanced Security During Online Exams”
Authors: N. Sai Soujanya, T., Dr. S. Vasavi, S. Anusha
Citations: 26
Year: 2012
“Predictive analytics as a service for vehicle health monitoring using edge computing and AK-NN algorithm”
Authors: S. Vasavi, K. Aswarth, T.S.D. Pavan, A.A. Gokhale
Citations: 24
Year: 2021
“Prediction of temperature anomaly in Indian Ocean based on autoregressive long short-term memory neural network”
Authors: M.S. Pravallika, S. Vasavi, S.P. Vighneshwar
Citations: 18
Year: 2022
“Framework for Predictive Analytics as a Service using ensemble model”
Authors: S.K. Babu, S. Vasavi, K. Nagarjuna
Citations: 18
Year: 2017
“Detection of solitary ocean internal waves from SAR images by using U-Net and KDV solver technique”
Authors: S. Vasavi, C. Divya, A.S. Sarma
Citations: 16
Year: 2021
“Hadoop framework for entity resolution within high velocity streams”
Authors: S.P. Benny, S. Vasavi, P. Anupriya
Citations: 16
Year: 2016
“A Survey on Extracting Hidden Patterns within Road Accident Data using Machine Learning Techniques”
Authors: S. Vasavi
Citations: 14
Year: 2016
“Age detection in a surveillance video using deep learning technique”
Authors: S. Vasavi, P. Vineela, S.V. Raman
Citations: 12
Year: 2021