Supritha Nagendra | Big data analytics | Best Researcher Award

Mrs. Supritha Nagendra | Big data analytics | Best Researcher Award

Mrs. Supritha Nagendra | Big data analytics- Research scholar at BMSIT&M, India

Supritha N is a dedicated academic professional with extensive experience in the field of Computer Science and Engineering (CSE). With a career spanning over 8.6 years in teaching and research, she has worked across several reputed institutions, contributing immensely to the academic and research community. Currently pursuing her Ph.D. at BMSIT&M, she has established herself as an innovative researcher with a focus on Big Earth Analytics, remote sensing, and active learning models. Supritha’s dedication to her work and her ability to blend academic and research excellence make her a deserving candidate for various accolades in the field of research and education.

Profile:

Orcid

Education:

Supritha holds a robust academic background, with a Ph.D. in Computer Science and Engineering from BMSIT&M. She completed her M.Tech. in the same field from A.P.S.C.E, securing an impressive 76%. Prior to this, she earned her B.E. from JVIT, with a 71% score. Her academic journey also includes a strong foundation in basic sciences, as evidenced by her outstanding performance during her P.U.C. and SSLC years, where she achieved high marks in her respective board examinations. Supritha’s consistent academic performance highlights her strong analytical skills, determination, and commitment to continuous learning.

Experience:

Supritha N brings over 8.6 years of professional experience, primarily in teaching and research roles. Her career began as a Lecturer at JVIT, where she worked from 2009 to 2011, before transitioning to a more extensive role as an Assistant Professor. She served at East West Institute of Technology from 2017 to 2021 and at RNS Institute of Technology from 2021 to 2024. Throughout her tenure in these positions, Supritha has mentored students, taught various undergraduate and postgraduate courses, and played a pivotal role in guiding student projects. Her comprehensive teaching portfolio includes subjects such as Digital Design and Computer Organization, Big Data Analytics, Microprocessors and Embedded Systems, and Cryptography, among others. Her experience in teaching has been marked by her innovative approach to complex subjects, enabling students to grasp critical concepts with ease.

Research Interests:

Supritha’s research interests lie at the intersection of Big Data Analytics, Remote Sensing, and Artificial Intelligence. She is particularly focused on developing resource-efficient models for Big Earth Spatial Data Management and Analytics (BESDMA). Her Ph.D. research aims to design sparse image representation models to improve remote sensing applications and resource efficiency in Earth observation systems. Additionally, Supritha has worked on various projects related to machine learning and active learning, emphasizing the importance of quality-sensitive solutions in data processing and analysis. Her innovative work in these fields has led to the publication of several impactful papers, furthering knowledge in her areas of research.

Awards:

Supritha N has earned numerous accolades throughout her career, underscoring her dedication and excellence in both research and teaching. She was awarded the Best Paper Award for her paper on “Object Placement Using Augmented Reality” at the 2nd National Conference on Computing Technology in 2022. Additionally, her work on “Communication for Motor Neuron Disease Patients via Eye Blink to Voice Recognition” received the Best Paper Award at the 14th National Conference in 2019. Her contributions to research have been recognized not only in academic circles but also through her active participation in national and international conferences and her ability to translate her research into real-world applications.

Publications:

Supritha N has authored and co-authored several research papers, many of which have been published in esteemed journals and conferences. Some of her key publications include:

  1. “Deep Spatio-textural feature driven multi-constraints pool-based active learning model for resource-efficient big earth observations” (2025), International Journal of Remote Sensing 🌍📚 [Cited by: 15 articles]
  2. “A Comprehensive Study on Satellite based Data Communication for Big Earth Observation Systems” (2024), IEEE International Conference on Knowledge Engineering and Communication Systems 🌐📈 [Cited by: 7 articles]
  3. “A Comparative Study of The CNN Based Models Used for Remote Sensing Image Classification” (2023), IJEER Journal 🛰️📄 [Cited by: 10 articles]
  4. “The Scope of Artificial Intelligence in Agriculture and Healthcare Sectors – A Comprehensive Review” (2022), Advanced Engineering Sciences 🤖🌾 [Cited by: 5 articles]

Conclusion:

Supritha N’s journey in academia and research reflects a high level of commitment, excellence, and passion for innovation. Her career trajectory, marked by substantial teaching experience and groundbreaking research, places her in a strong position for recognition in the field of Computer Science and Engineering. Her research work, particularly in Big Earth Analytics, remote sensing, and AI-driven models, has not only advanced academic understanding but also shown promise for real-world applications. With multiple publications, awards, and a demonstrated commitment to mentoring students, Supritha N is a deserving nominee for the Best Researcher Award. Her work continues to inspire peers and students alike, and she remains focused on pushing the boundaries of knowledge in her field.

Chandra Sekhar Kolli | Nanotechnology| Best Researcher Award

Dr.Chandra Sekhar Kolli| Data Science | Best Researcher Award

Dr. Chandra Sekhar Kolli ,Shri Vishnu Engineering College for Women, India

Dr. Chandra Sekhar Kolli is associated with Shri Vishnu Engineering College for Women in India. He holds expertise in [mention his area of expertise, e.g., computer science/engineering]. Dr. Kolli has contributed significantly to academia through research, publications, and academic leadership roles. His professional journey is marked by a commitment to education and innovation in [mention specific field if

Profile

Scopus

Education:

Ph.D. in Computer Science and Engineering from GITAM University, Visakhapatnam, 2021.,M.Tech in Computer Science and Engineering from Hindustan University, Chennai, 2011.,MCA from Andhra University, Visakhapatnam, 2008.,B.Sc in Computer Science from Andhra University, Visakhapatnam, 2005.,Intermediate (MPC) from Govt Junior College, West Godavari District, 2002.,SSC from ZPH School, West Godavari District, 2000.

Experience:

Associate Professor at Shri Vishnu Engineering College for Women, Bhimavaram, West Godavari since June 2023.,Assistant Professor at GITAM (Deemed to be University), Visakhapatnam from July 2022 to June 2023.,Assistant Professor at Aditya College of Engineering & Technology, East Godavari from July 2021 to June 2022.,Assistant Professor at KL University, Guntur District from October 2017 to June 2021.,Assistant Professor at Madanapalle Institute of Technology & Science, Chittoor District from December 2010 to September 2017.

Skills:

  • Programming Languages: Python, Java, C++, C.
  • Database: NoSQL (Mongo DB), Oracle SQL.
  • Algorithms: Data Structures using C, C++, Java, Python, and Design and Analysis of Algorithms (DAA).
  • Core Courses: Machine Learning, DBMS, Operating Systems, Computer Networks.

Awards:

Best Teacher Award for the Academic Year 2019-20, CSE Department, KL University, Vijayawada.,WIPRO Certified Faculty – Qualified in Wipro Talent Next Global Certification in October 2020.,Automation Anywhere Certified in Advanced Level.,Ratified as an Assistant Professor by JNTU Kakinada and JNTU Anantapur.

Research Focus:

Dr. Chandra Sekhar Kolli’s research focuses on several areas including:,Deep Learning and Neural Networks.,IoT Integration and Applications.,Fraud Detection in Banking Transactions.,Machine Learning Applications in Healthcare.,Image Processing and Computer Vision.

 publications:

    • Dr. Kolli has a substantial number of research publications including:
      • Journal Articles: SCI and SCOPUS indexed articles.
      • Conference Papers: Presented at international conferences on topics ranging from IoT to AI and cybersecurity.
      • Book Chapters: Contributions in books related to Robotics, IoT, and Deep Learning.