Chandra Sekhar Kolli | Computer Science | Best Researcher Award

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

Associate Professor at Shri Vishnu Engineering College for Women, India

Dr. Chandra Sekhar Kolli is an accomplished academic in Computer Science with extensive teaching experience across multiple prestigious institutions. With a passion for research and a commitment to advancing knowledge in the field, Dr. Kolli has made significant contributions to areas such as machine learning, data science, and cyber security.

Profile

Scopus Profile

Education πŸŽ“

Dr. Kolli holds a Ph.D. in Computer Science from GITAM (Deemed to be University), Visakhapatnam, obtained in 2021. He completed his M.E. in Computer Science Engineering from HITS (Deemed to be University), Chennai, in 2011 with a CGPA of 7.99, and earned his MCA from Andhra University in 2008 with a score of 74%. He also completed his B.Sc. in Computer Science from Andhra University in 2005, achieving a 71% score.

Experience 🏫

Dr. Kolli has over 13 years of teaching experience, currently serving as an Associate Professor at Shri Vishnu Engineering College for Women, Bhimavaram since June 2023. Prior to this role, he held positions such as Senior Assistant Professor at Aditya College of Engineering and Technology, and Assistant Professor at Koneru Lakshmaiah Education Foundation and Madanapalle Institute of Technology & Science, where he contributed significantly to curriculum development and student training.

Research Interests πŸ”

Dr. Kolli’s research focuses on deep learning, privacy-enhanced technologies, fraud detection, and machine learning applications in various domains. His work seeks to leverage advanced algorithms to solve real-world problems, particularly in data security and intelligent systems.

Awards πŸ†

Dr. Kolli was honored with the Best Teacher Award for the academic year 2019-20 at KLEF (Deemed to be University), Vijayawada. Additionally, he is a WIPRO Certified Faculty, having qualified in the Wipro Talent Next Global Certification in October 2020, showcasing his dedication to professional development in education.

Publications πŸ“š

Dr. Kolli has a substantial publication record, including 16 journal articles and 13 conference publications, all indexed in SCOPUS. Notable publications include:

  1. Deep learning-based credit card fraud detection in federated learning
    • Authors: Venkata Krishna Reddy, V., Vijaya Kumar Reddy, R., Siva Krishna Munaga, M., Maddila, S.K., Sekhar Kolli, C.
    • Journal: Expert Systems with Applications
    • Year: 2024
    • Citations: 0
  2. Classification of defective product for smart factory through deep learning method
    • Authors: Raffik, R., Misra, P.K., Kolli, C.S., Chandol, M.K., Shukla, S.K.
    • Journal: AIP Conference Proceedings
    • Year: 2024
    • Citations: 0
  3. A review on machine learning in agricultural sciences
    • Authors: Rayalu, G.M., Farouq, K.M., Kolli, C.S., Herrera, A.P., Muhammad, R.S.
    • Journal: AIP Conference Proceedings
    • Year: 2024
    • Citations: 0
  4. Privacy enhanced course recommendations through deep learning in Federated Learning environments
    • Authors: Kolli, C.S., Seelamanthula, S., Reddy V, V.K., Reddy, M.R.K., Gumpina, B.R.
    • Journal: International Journal of Information Technology (Singapore)
    • Year: 2024
    • Citations: 1
  5. Deep learning-based privacy-preserving recommendations in federated learning
    • Authors: Kolli, C.S., Krishna Reddy, V.V., Reddy, T.S., Dasari, D.B., Reddy, M.R.
    • Journal: International Journal of General Systems
    • Year: 2024
    • Citations: 2

His research has been widely cited, contributing to the academic community and enhancing knowledge in his areas of expertise.

Conclusion ✨

Dr. Chandra Sekhar Kolli continues to inspire students and colleagues alike with his commitment to teaching and research. With numerous accolades and a solid publication record, he stands out as a prominent figure in the field of Computer Science, making impactful contributions that pave the way for future advancements in technology.

Osama Sohaib | Information Systems | Best Researcher Award

Dr. Osama Sohaib | Information Systems | Best Researcher Award

Associate Professor, American University of Ras Al Khaimah, United Arab Emirates

Dr. Osama Sohaib is an Associate Professor of Business Analytics at the American University of Ras al Khaimah, UAE. He holds a Ph.D. in Information Systems from the University of Technology Sydney, Australia. With over 15 years of teaching experience, Dr. Sohaib is dedicated to educating and mentoring undergraduate and postgraduate students in information systems, focusing on the intersection of technology and business. πŸŒπŸ“š

Publication Profile

Google Scholar

Education

Dr. Sohaib earned his Ph.D. in Information Systems in 2015 from the University of Technology Sydney, Australia. He is currently pursuing a Master of Business Analytics at the University of Queensland and holds a Graduate Certificate in Applied Artificial Intelligence from Charles Sturt University. His academic journey also includes a Master of Science in Computer Science, a Postgraduate Diploma in Information Management, and a Bachelor of Science in Software Development. πŸŽ“πŸ“–

Experience

With over 15 years of experience in academia, Dr. Sohaib has held various positions, including Associate Professor at the American University of Ras al Khaimah and Lecturer at the University of Technology Sydney. He has also taught at Macquarie University and the University of New South Wales. His roles have included supervising research students, coordinating academic programs, and contributing to funded projects in business information systems. πŸ’ΌπŸ‘¨β€πŸ«

Research Focus

Dr. Sohaib’s research interests encompass business information systems, e-services, digital privacy, digital transformation, business intelligence, decision-making, and applied machine learning. His work aims to enhance service effectiveness across various sectors, including digital business, healthcare, education, and government, with a strong emphasis on the ethical and societal implications of technology. πŸ’‘πŸ”

Awards and Honors

Dr. Sohaib has received multiple accolades, including the “Research of the Year” award from the School of Business at AURAK for his exceptional research contributions in 2023 and 2024. He was also honored with the “Best Paper Award” at the 25th International Conference on Information Systems Development in 2016 for his work on web content accessibility. πŸ†πŸŒŸ

Publication Top Notes

Assessing Web Content Accessibility of E-Commerce Websites for People with Disabilities
Best Paper Award, 2016
Link to Publication | 2016 | Journal of Information Systems Development | Cited by: 120

Digital Privacy in the Age of Big Data and Machine Learning: People’s Expectations and Experiences
Link to Publication | 2022 | International Journal of Information Management | Cited by: 85

Factors Influencing Continuance Intention in Augmented Reality Platforms
Link to Publication | 2023 | Journal of Business Research | Cited by: 45

Opportunities and Challenges in the Implementation of AI in Accounting and Auditing Software
Link to Publication | 2024 | International Journal of Accounting Information Systems | Cited by: 10

The Effect of Individual’s Technological Belief and Usage on their Absorptive Capacity towards their Learning Behaviour in the Learning Environment
Link to Publication | 2020 | Computers & Education | Cited by: 30