Dasthavejula Roja | Cyber Threat | Best Researcher Award

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Mrs. Dasthavejula Roja | Cyber Threat | Best Researcher Award

Assistant Professor at Chalapathi Institute of Technology, India

Mrs. Dasthavejula Roja is an Assistant Professor in the Department of Computer Science and Engineering (Data Science) at Chalapathi Institute of Technology, Mothadaka, Andhra Pradesh, India. With over 5 years of academic experience, she is known for her commitment to excellence in teaching and mentoring, as well as her active participation in research and professional development. She is currently pursuing her Ph.D. in Computer Science and Engineering at The Glocal University, Saharanpur, Delhi.

Publication Profile 

Google Scholar

Educational Background 🎓

  • Ph.D. (Pursuing) in Computer Science and Engineering
    The Glocal University (Deemed to be University), Saharanpur, Delhi

  • M.Tech in Computer Science and Engineering
    Chebrolu Engineering College, JNTUK, Kakinada – First Class with Distinction (July 2018)

  • B.Tech in Computer Science and Engineering
    PNC & Vijay Institute of Engineering and Technology, JNTUH, Hyderabad – First Class (May 2015)

Professional Experience 💼

Mrs. Dasthavejula Roja is currently serving as an Assistant Professor in the Department of Computer Science and Engineering (Data Science) at Chalapathi Institute of Technology, Mothadaka, since March 2021. In this role, she has been actively involved in teaching core subjects such as C Programming, Machine Learning, Cloud Computing, Blockchain Technology, Operating Systems, Software Project Management, and more. She has also contributed significantly to institutional development by coordinating and mentoring students during hackathons, and playing a key role as an NBA (National Board of Accreditation) member responsible for documentation and criteria fulfillment.

Prior to her current position, she worked as an Assistant Professor at PNC & Vijay Institute of Engineering and Technology (PNCVIET) from August 2018 to February 2021. During her tenure there, she contributed to undergraduate teaching, curriculum development, and student mentoring, establishing a strong foundation in technical education and pedagogy. With a cumulative teaching experience of over 5 years, she has demonstrated consistent dedication to academic excellence, innovation in teaching methodologies, and active participation in co-curricular initiatives.

Research Interests 🔬

  • Cybersecurity and Intrusion Detection

  • Internet of Things (IoT)

  • Cloud and Distributed Computing

  • Blockchain Technology

  • Deep Learning and AI

  • Smart Agriculture and Yield Prediction Models

  • Learning Analytics

Awards and Honors🏆✨

  • Best Faculty Award – Chalapathi Institute of Technology (2023–2024)

  • Multiple Certificates of Appreciation from NPTEL (Evangelist, Mentor, Discipline, Believer Star)

  • Educator Mentor Award by AICTE Internship (EDUSKILLS)

  • Celonis Educator – EDUSKILLS

  • Ratified as Assistant Professor by JNTUK, Kakinada (2022)

Memberships

  • IAENG: 294814

  • IAAC: FRTJQC-CE000874

  • ISOC (Internet Society): 2249916

  • IFERP: PM51493806

Conclusion🌟

Mrs. Dasthavejula Roja is a dedicated and forward-thinking academician with a passion for research, innovation, and continuous learning. Her involvement in high-impact research, extensive NPTEL certifications, and accolades from national organizations reflect her dynamic engagement in both teaching and professional development. She aims to contribute significantly to the fields of data science, cybersecurity, and smart agriculture through academic research and collaborative initiatives.

Publications 📚

📚 Credit Investigation and Comprehensive Risk Management System based on Big Data Analytics in Commercial Banking
👥 M. Venkateswara Rao, S.S. Vellela, V. Reddy, N. Vullam, K.B. Sk, D. Roja
📅 2023 | 🏛️ 9th International Conference on Advanced Computing and Communication
🔢 Cited by: 125

📚 Multi-agent Personalized Recommendation System in E-commerce Based on User
👥 N. Vullam, S.S. Vellela, V. Reddy, M.V. Rao, K.B. Sk, D. Roja
📅 2023 | 🏛️ 2nd International Conference on Applied Artificial Intelligence and Computing
🔢 Cited by: 111

📚 Prediction and Classification of Alzheimer’s Disease Using Machine Learning Techniques in 3D MR Images
👥 K.N. Rao, B.R. Gandhi, M.V. Rao, S. Javvadi, S.S. Vellela, S.K. Basha
📅 2023 | 🏛️ International Conference on Sustainable Computing and Smart Systems
🔢 Cited by: 96

📚 Coronary Heart Disease Prediction and Classification Using Hybrid Machine Learning Algorithms
👥 K.B. Sk, D. Roja, S.S. Priya, L. Dalavi, S.S. Vellela, V. Reddy
📅 2023 | 🏛️ International Conference on Innovative Data Communication Technologies
🔢 Cited by: 79

📚 Multi-Class Skin Diseases Classification with Color and Texture Features Using Convolution Neural Network
👥 S.S. Vellela, D. Roja, C. Sowjanya, K.B. Sk, L. Dalavai, K.K. Kumar
📅 2023 | 🏛️ 6th International Conference on Contemporary Computing and Informatics
🔢 Cited by: 70

📚 Design and Implementation of an Integrated IoT Blockchain Framework for Drone Communication
👥 S.S. Priya, S.S. Vellela, V. Reddy, S. Javvadi, K.B. Sk, D. Roja
📅 2023 | 🏛️ 3rd International Conference on Intelligent Technologies (CONIT)
🔢 Cited by: 66

📚 A Cloud-based Smart IoT Platform for Personalized Healthcare Data Gathering and Monitoring System
👥 S.S. Vellela, V.L. Reddy, D. Roja, G.R. Rao, K.B. Sk, K.K. Kumar
📅 2023 | 🏛️ 3rd Asian Conference on Innovation in Technology (ASIANCON)
🔢 Cited by: 63

📚 An Enhancing Network Security: A Stacked Ensemble Intrusion Detection System for Effective Threat Mitigation
👥 N. Vullam, D. Roja, N.M. Rao, S.S. Vellela, L.R. Vuyyuru, K.K. Kumar
📅 2023 | 🏛️ 3rd International Conference on Innovative Mechanisms for Industry Applications
🔢 Cited by: 57

📚 Cloud-hosted Concept-Hierarchy Flex-based Infringement Checking System
👥 S.S. Vellela, K. Basha Sk, K. Yakubreddy
📅 2023 | 🏛️ International Advanced Research Journal in Science, Engineering and Technology
🔢 Cited by: 56

📚 Prediction and Analysis Using a Hybrid Model for Stock Market
👥 N. Vullam, K. Yakubreddy, S.S. Vellela, K.B. Sk, V. Reddy, S.S. Priya
📅 2023 | 🏛️ 3rd International Conference on Intelligent Technologies (CONIT)
🔢 Cited by: 53

Yi Sun | Information Security | Best Researcher Award

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Dr. Yi Sun | Information Security | Best Researcher Award

Associate Professor at Beijing University of Posts and Telecommunications, China

Dr. Yi Sun is an Associate Professor at the School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, China. She is a prominent researcher in the field of information security with a focus on cryptography, secure multi-party computation, blockchain, and big data security. With a strong presence in international collaborations, over 150 journal publications, 170+ patent applications, and numerous honors, Dr. Sun has established herself as a global leader in cybersecurity and privacy computing.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Computer Science
    Institution: State Key Laboratory of Network and Switching Technology, Beijing University of Posts and Telecommunications
    Graduation Date: June 2015

Professional Experience 💼

  • Associate Professor
    School of Computer Science, Beijing University of Posts and Telecommunications (Since July 2015)

    • Oversees national and international research and industry projects (100+ including National 863, Key R&D, and enterprise-funded).

    • Editorial roles in reputed journals and reviewer for SCI-indexed publications.

    • Active participation in organizing and chairing major international conferences such as IEEE GLOBECOM, ICME, DSC, CAIML, CNCIS, ICAIIC, etc.

Research Interests 🔬

  • Cryptography

  • Network Security

  • Secure Multi-party Computation

  • Blockchain Technology

  • Big Data Security

  • Privacy-Preserving Computation

  • RISC-V Processor Security

Awards and Honors🏆✨

  • Top 10 Pioneers of Privacy Computing (2022)

  • Excellent Scientific Research Teacher, Ministry of Education’s Class B Laboratory

  • Excellent Instructor, 7th China International “Internet+” Innovation and Entrepreneurship Competition (2021)

  • Outstanding Instructor, C4 Network Technology Challenge (2023)

  • Excellent Paper, 2023 “Academic Achievements in Frontier IoT in the Capital”

  • 4 ESI Highly Cited Papers

  • Multiple honors for academic and research excellence

Conclusion🌟

Dr. Yi Sun’s career is marked by groundbreaking research, high-impact publications, and international collaboration. Her work in information security has led to real-world applications in secure computing and microarchitecture protection. Through her extensive publication record, editorial contributions, and successful leadership in over 100 research and industrial projects, she has played a critical role in shaping the future of cybersecurity technologies. Dr. Sun’s achievements and accolades make her a highly deserving candidate for the Best Researcher Award.

Publications 📚

📄 Article:
Title: ADPF: Anti-inference differentially private protocol for federated learning
👨‍🔬 Authors: Zhao, Zirun; Lin, Zhaowen; Sun, Yi
📚 Journal: Computer Networks
📅 Year: 2025
🔢 Citations: 0

📄 Article:
Title: A combined side-channel and transient execution attack scheme on RISC-V processors
👨‍🔬 Authors: Dong, Renhai; Cui, Baojiang; Sun, Yi; Yang, Jun
📚 Journal: Computers and Security
📅 Year: 2025
🔢 Citations: 0

📄 Article:
Title: Improved twin support vector machine algorithm and applications in classification problems
👨‍🔬 Authors: Sun, Yi; Wang, Zhouyang
📚 Journal: China Communications
📅 Year: 2024
🔢 Citations: 0

📄 Article:
Title: AdaDpFed: A Differentially Private Federated Learning Algorithm with Adaptive Noise on Non-IID Data
👨‍🔬 Authors: Zhao, Zirun; Sun, Yi; Bashir, Ali Kashif; Lin, Zhaowen
📚 Journal: IEEE Transactions on Consumer Electronics
📅 Year: 2024
🔢 Citations: 7

📄 Article:
Title: BTIDEC: A Novel Detection Scheme for CPU Security of Consumer Electronics
👨‍🔬 Authors: Dong, Renhai; Cui, Baojiang; Sun, Yi; Yang, Jun
📚 Journal: IEEE Transactions on Consumer Electronics
📅 Year: 2024
🔢 Citations: 0

📄 Article:
Title: Ins Finder: A Practical CPU Undocumented Instruction Detection Framework
👨‍🔬 Authors: Dong, Renhai; Cui, Baojiang; Sun, Yi; Yang, Jun
📚 Journal: Journal of Circuits, Systems and Computers
📅 Year: 2024
🔢 Citations: 0

📄 Article:
Title: KeyLight: Intelligent Traffic Signal Control Method Based on Improved Graph Neural Network
👨‍🔬 Authors: Sun, Yi; Lin, Kaixiang; Bashir, Ali Kashif
📚 Journal: IEEE Transactions on Consumer Electronics
📅 Year: 2024
🔢 Citations: 6

Touhid Bhuiyan | Cybersecurity | Outstanding Scientist Award

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Prof. Dr. Touhid Bhuiyan | Cybersecurity | Outstanding Scientist Award

Professor at Washington University of Science and Technology, United States

Dr. T. Bhuiyan is a distinguished academic and consultant in Cyber Security, with extensive experience in teaching, research, and industry. His contributions span several continents and include a wealth of publications and keynotes, focusing on the transformative role of technology in education and security. 🌍🔐📖

Publication Profile : 

Orcid

 

🎓 Educational Background :

Dr. T. Bhuiyan is a seasoned professional in Cyber Security, Software Engineering, and Databases, with over 27 years of experience in teaching and research across the USA, Australia, and Bangladesh. He holds a PhD in Computer Science from Queensland University of Technology, Australia, along with an MSc from The American University in London and a BSc (Hons) in Computing & Information Systems from the University of London. His education is complemented by numerous certifications, including Certified Information System Auditor (CISA) and Certified Ethical Hacker (CEH).

💼 Professional Experience :

In his professional journey, Dr. Bhuiyan has served as a Professor of Cyber Security at Washington University of Science and Technology, and previously held leadership roles at Daffodil International University and Polytechnic Institute Australia. His consulting experience includes a significant role as a National Consultant for Cyber Security with the UNDP and the Government of Bangladesh, where he led initiatives to enhance cyber security measures for government portals. Dr. Bhuiyan has delivered keynote speeches at international conferences and has authored multiple influential publications, including books on intelligent recommendation systems and cyber security. His research interests lie at the intersection of information security, trust management, and e-Learning, exploring how technology can enhance educational practices and health informatics.

📚 Research Interests : 

🔍 Information Security
🌐 Social Networks
🔒 Trust Management
💻 Database Management
🏥 e-Health
📚 e-Learning

📝 Publication Top Notes :

  1. Hossain, M.A., Rahman, M.Z., Bhuiyan, T., Moni, M.A. (2024). Identification of Biomarkers and Molecular Pathways Implicated in Smoking and COVID-19 Associated Lung Cancer Using Bioinformatics and Machine Learning Approaches. International Journal of Environmental Research and Public Health, 21(11), 1392.
  2. Hanip, A., Sarower, A.H., Bhuiyan, T. (2024). The Transformative Role of Generative AI in Education: Challenges and Opportunities for Enhancing Student Learning and Assessment Through Mass Integration. International Journal of Advanced Research in Engineering and Technology, 15(5), 161-175.
  3. Mahmud, A., Sarower, A.H., Sohel, A., Assaduzzaman, M., Bhuiyan, T. (2024). Adoption of ChatGPT by university students for academic purposes: Partial least square, artificial neural network, deep neural network and classification algorithms approach. Array, 21, 100339.
  4. Zannah, T.B., Abdulla-Hil-Kafi, M., Sheakh, M.A., Hasan, M.Z., Shuva, T.F., Bhuiyan, T., Rahman, M.T., Khan, R.T., Kaiser, M.S., Whaiduzzaman, M. (2024). Bayesian Optimized Machine Learning Model for Automated Eye Disease Classification from Fundus Images. Computation, 12(190).
  5. Bishshash, P., Nirob, M.A.S., Shikder, M.H., Sarower, M.A.H., Bhuiyan, T., Noori, S.R.H. (2024). A Comprehensive Cotton Leaf Disease Dataset for Enhanced Detection and Classification. Data in Brief, 57, 110913.
  6. Tamal, M.A., Islam, M.K., Bhuiyan, T., Sattar, A., Prince, N.U. (2024). Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning. Frontiers in Computer Science, 6, 1428013.
  7. Tamal, M.A., Islam, M.K., Bhuiyan, T., Sattar, A. (2024). Dataset of suspicious phishing URL detection. Frontiers in Computer Science, 6, 1308634.
  8. Sholi, R.T., Sarker, …, Bhuiyan, T., Shakil, S.M.K.A., Ahmed, M.F. (2024). Application of Computer Vision and Mobile Systems in Education: A Systematic Review. International Journal of Interactive Mobile Technologies, 18(1), 168-187.
  9. Ahad, M.T., Li, Y., Song, B., Bhuiyan, T. (2023). Comparison of CNN-based deep learning architectures for rice diseases classification. Artificial Intelligence in Agriculture, 9(1), 22-35.
  10. Basar, M.A., Hosen, M.F., Paul, B.K., …, Bhuiyan, T. (2023). Identification of drug and protein-protein interaction network among stress and depression: A bioinformatics approach. Informatics in Medicine Unlocked, 37, 101174.
  11. Paul, S.G., Saha, A., Arefin, M.S., Bhuiyan, T., …, Moni, M.A. (2023). A Comprehensive Review of Green Computing: Past, Present, and Future Research. IEEE Access, 11, 87445-87494.
  12. Sarker, S., Arefin, M.S., Kowsher, M., Bhuiyan, T., Dhar, P.K., Kwon, O.J. (2022). A Comprehensive Review on Big Data for Industries: Challenges and Opportunities. IEEE Access, 11, 744-769.
  13. Asaduzzaman, S., Rehana, H., Bhuiyan, T., Eid, M.M.A., Rashed, A.N.Z. (2022). Extremely high birefringent slotted core umbrella-shaped photonic crystal fiber in terahertz regime. Applied Physics B, 128(148).
  14. Bhuiyan, T. (2022). Transitioning from education to work during the 4th Industrial Revolution. AIB Review, 7, Adelaide, Australia.
  15. Ali, M.N.B., Saudi, M.M., Bhuiyan, T., Ahmad, A.B., Islam, M.N. (2021). NIPSA Intrusion Classification. Journal of Engineering Science and Technology, 16(4), 3534-3547.