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

Scopus Profile

Google Scholar

ORCID

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

Ms. Sara Dankir | Computer Science | Best Researcher Award

Phd student at University Polytechnic of Catalunya, Spain

Sara Dankir is a PhD student in Engineering Science at the University Polytechnic of Catalonia, with a solid academic foundation in electronic and automatic systems. She completed her MSc in Engineering of Electronic and Automatic Systems and has practical experience through internships and academic projects. Her work spans areas like automation, instrumentation, process improvement, and design of real-time systems, supported by strong technical skills in programming and system modeling.

professional profile

ORCID

Education

Sara Dankir’s educational background is rooted in a strong academic journey that spans across two countries. She is currently pursuing a PhD in Engineering Science at the University Polytechnic of Catalonia in Barcelona, Spain, where she specializes in electronic and automatic systems. Prior to this, she completed her MSc in Engineering of Electronic and Automatic Systems from the National School of Applied Sciences in Tangier, Morocco. During her master’s studies, Sara focused on areas such as digital control, system diagnostics, and the design of real-time systems. She also holds an undergraduate degree in preparatory classes for engineering schools, along with a Mathematics Baccalaureate from High School Mohammadi in Ksar El Kebir, Morocco. Sara’s diverse academic experiences have equipped her with deep technical knowledge and the ability to apply it to both academic and industry-related challenges.

work Experience

Sara Dankir has gained practical experience through a variety of internships and academic projects. At LEAR Corporation, she worked on improving the Total Productive Maintenance (TPM) process in the cutting area, optimizing efficiency and reducing operational costs. During her application internship at SNEP Mohammadia, she played a key role in the automation and instrumentation of the STRIPPING section using Distributed Control Systems (DCS). Additionally, she has been involved in academic projects such as designing and modeling a recycling bin using sensors and Arduino, as well as developing a graphical interface for image and video processing using MATLAB. Her technical expertise also extends to electronic boards programming, FPGA design, and real-time system development. With proficiency in a wide range of programming languages and software tools, Sara’s experience spans both research-driven innovation and real-world engineering applications.

Research Focus

Sara Dankir’s research focuses on the intersection of automation, control systems, and real-time engineering. Her current PhD research at the University Polytechnic of Catalonia delves into the diagnostic and optimization of automatic systems, with an emphasis on state representation and digital control of linear systems. She is particularly interested in the application of hardware description languages such as VHDL and Verilog for FPGA design, aiming to enhance system stability and performance. Sara’s research also explores the use of observer command FDI (Fault Detection and Isolation) techniques to improve the reliability of automated systems. Additionally, she is investigating the development of real-time systems for industrial applications, with the goal of integrating advanced technologies like IoT and AI for automation. Her technical expertise in programming and system design supports her innovative approach to engineering challenges, making her research highly relevant to today’s technological advancements.

Awards and honors

Sara Dankir has earned recognition for her academic and technical contributions throughout her educational journey. During her time at the National School of Applied Sciences, she received accolades for her exceptional performance in engineering projects, particularly in automation and system modeling. Although Sara is early in her academic career, her potential for impactful research and innovation has been acknowledged by her professors and peers. She has also been a recipient of merit-based scholarships that supported her studies in electronic and automatic systems. Sara’s practical work during her internships has received praise from industry professionals, particularly for her contributions to process improvements at LEAR Corporation and automation projects at SNEP Mohammadia. While her formal awards list may be growing, her technical skills and academic dedication position her as a strong candidate for future honors in the field of engineering.

Conclusion

Sara Dankir has an excellent background in engineering science with notable strengths in technical skills, project management, and innovation. However, to stand out as a candidate for the Best Researcher Award, she may need to strengthen her research portfolio through publications and increase her visibility in the international research community. With more focus on research contributions and collaborations, she could become a more competitive candidate for such prestigious recognition.

vasavi S | Computer Science | STEM Education Leadership

Prof. Dr. vasavi S | Computer Science | STEM Education Leadership

professional profiles

Education

work Experience

Awards and honors

Research Focus

Skills

Conclusion

Publications to Noted

Sara Dankir | Computer Science | Best Researcher Award

Ms. Sara Dankir | Computer Science | Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

Conclusion

Publications to Noted

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