Ms. Rupali Taware | Magnitude of data science & big data in fitness care | Best Researcher Award

Assistant Professor at Sinhgad Institute of Management, India

Mrs. Rupali Dineshwar Taware is an experienced Assistant Professor in the field of Computer Applications, with over 12 years of progressive academic engagement in various reputed institutions in Pune. She is known for her student-centric approach, commitment to academic excellence, and active involvement in extracurricular and institutional responsibilities. With an educational background rooted in IT and computer science, Mrs. Taware has demonstrated a consistent passion for teaching, mentoring, and research, making her a deserving candidate for academic award recognition.

Profile

Scopus

Education

Mrs. Taware holds a Master of Computer Applications (MCA) degree from IGNOU Pune, completed in 2014 with 61.46% marks, following a B.Sc. in Information Technology from Mumbai University in 2004. To further enhance her qualifications in the educational field, she pursued a Bachelor of Education (B.Ed.) from Babasaheb Ambedkar Marathwada University in 2019, earning an A++ grade. She also completed a Post Graduate Diploma in Computer Applications (PGDCA) from IGNOU in 2012 and earned a degree in MCM/MBA (IT) from Pune University in 2007. Her foundational education includes an H.S.C. from S.C.S. College, Latur with 67.67% and S.S.C. from Bharat Vidyalay, Latur Board with 72.52%. Additionally, she earned an NPTEL certification in “Python for Data Science” with 69%, showing her commitment to continuous learning and upskilling.

Experience

Mrs. Taware’s teaching journey began in 2010 as a Teaching Assistant at VIT Engineering, Bibewadi. She then served as a Lecturer at Smt. Susheela Bahudhani Junior College from 2011 to 2015, before joining Vishwakarma College of Arts, Commerce and Science as an Assistant Professor, a role she held until March 2020. She briefly worked at Indira College of Engineering and Management in mid-2022 and currently holds the position of Assistant Professor in the MCA Department at Sinhgad Institute of Management since November 2022. Throughout her academic career, she has taught a wide range of undergraduate and postgraduate courses including MCA, MSc (CA/CS), BSc (CS), BBA, BBA (CA), B.Com, and junior college level subjects (XI, XII), showcasing her versatility in curriculum delivery.

Research Interest

Her research interests include data science, machine learning, wearable technology, IoT-enabled devices, big data in healthcare, and smart mobile communication systems. She is particularly focused on the integration of artificial intelligence in real-time systems, with a recent emphasis on machine learning classifiers used in wearable stress monitoring systems and communication architectures for mobile sensor nodes. Her inclination towards the application of ICT in education and institutional development also reflects her multidimensional academic orientation.

Awards

Her work has been featured in the AIP Publishing Showcase on Kudos, highlighting the significance of data science and big data in fitness care. She has been an active participant in numerous workshops and seminars and has taken on key institutional roles such as NAAC Criteria-III Head, Sinhgad Student Council Coordinator, Social Media Coordinator, MCA Project Coordinator, and IIC Coordinator Member. These roles underscore her leadership qualities and dedication to institutional excellence, which contribute significantly to her award nomination.

Publications

Mrs. Taware has contributed meaningfully to academic literature through various peer-reviewed journals and book chapters:

  1. “Magnitude of Data Science & Big Data in Fitness Care” – Featured in AIP Publishing Showcase on Kudos (Year not specified).

  2. “Active Machine-to-Machine (M2M) and IoT Communication Architecture for Mobile Devices and Sensor Nodes” – Published in Springer Nature Lecture Notes in Networks and Systems (LNS), ICIoTCT 2023, ISBN 978-981-97-5786-2_24.

  3. “IoT-enabled Wearable Sensors for Real-time Stress Monitoring using Machine Learning Classifiers” – Presented and published in Springer Nature LNS, ICIOTCT 2024.

  4. “Non-Accredited Institutions to Get Accredited by National Assessment and Accreditation Council” – Book chapter published by TAXMAN Publications, ISBN 9789356227521.
    Her research works have been increasingly cited in academic literature, especially those focusing on IoT, machine learning, and smart communication architectures.

Conclusion

With a decade-long commitment to quality education, academic research, and institutional development, Mrs. Rupali Dineshwar Taware exemplifies the qualities of a dedicated educator and an emerging researcher. Her wide-ranging teaching portfolio, combined with leadership roles and impactful research, positions her as a strong contender for academic awards. Her continuous pursuit of innovation in teaching, passion for mentoring, and exploration of real-time technological solutions reflect her value to both the academic community and the future of higher education.

Rupali Taware | Magnitude of data science & big data in fitness care | Best Researcher Award

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