Vijitha Sriramulu | Machine Learning and AI Applications | Best Researcher Award

Mrs. Vijitha Sriramulu | Machine Learning and AI Applications | Best Researcher Award

Vels Institute of Science, Technology & Advanced Studies (VISTAS) | India

Author Profile

Google Scholar

Suitability Summary

Mrs. Vijitha Sriramulu is a dedicated academician with over 7.6 years of teaching experience in Computer Science and Engineering. Her career objective is to align individual growth with institutional goals by contributing to teaching, research, and academic development. With strong subject knowledge in Software Engineering, Cloud Computing, Data Structures, and Artificial Intelligence, she blends academic responsibilities with a passion for innovation. Her ongoing Ph.D. at Vels University highlights her commitment to continuous learning. Known for her active role in academic coordination, curriculum development, and technical event organization, she is a valuable asset to any academic institution.

🎓 Education & Experience

Mrs. Vijitha holds an M.E. in CSE from Vel’s University with First Class and Distinction (80.45%) and a B.E. in CSE from Anna University with First Class (74%). She completed HSC with 90.20% and SSLC with 80.50%. Her academic experience includes roles as Assistant Professor at:

  • St. Anne’s College of Engineering & Technology (2011–2013),

  • Vel Tech University (2020–2021),

  • Vels University (2021–Present).
    She is currently pursuing her Ph.D. in Computer Science at Vels University, Chennai.

📜 Professional Development

She has completed certifications from top platforms:

  • NPTELSoftware Engineering, Privacy & Security, Data Science

  • COURSERAPython Data Structures, Algorithms, Graphs, Strings

  • UdemySQL Bootcamp

  • Great Learning AcademyJava, R, Machine Learning, Model Deployment

She is IBM Certified in Object-Oriented Analysis and Design using UML and is a member of the Indian Society for Technical Education (ISTE). Her leadership roles include:

  • IBM Coordinator

  • Industrial Visit Coordinator

  • Value-Added Course Coordinator

  • Curriculum and Syllabus In-charge

She has organized multiple events such as workshops, seminars, webinars, and an international conference on Computational Intelligence.

🔬 Research Focus

Her research spans across modern technologies including:

  • AI & MLBreast Cancer Prediction, Emotion Detection, Battery Failure Detection

  • BlockchainDecentralized Marketplaces, Health Prediction Systems

  • Cloud ComputingResource Allocation, Data Privacy, E-Records in Healthcare

  • IoT & Smart SystemsCrowd Management, Virtual Reality in Surgery, Precision Agriculture

Her contributions include:

  • 15+ Journal Publications (SCI, Scopus, UGC)

  • 10+ Conference Papers (IEEE, National)

  • 3 Book Chapters (Blockchain, AI)

  • 3 Books AuthoredAI Concepts, Design and Analysis of Algorithms, Data Structures using C

  • 4 Patents Filed – covering IoT, VR, COVID-19 Prediction, and E-Commerce Pricing

  • TNSCST Funded Student Project (2022–2023)

🏆 Honors & Awards

  • Rank Holder (M.E.) – Received medal from Dr. A.P.J. Abdul Kalam in 2014

  • Achieved 3500+ Hackos on HackerRank and HackerEarth

  • Served as IEEE Reviewer for conferences like:

    • SASI-ITE’24

    • IC2PCT-2024

    • IC-ETITE’24

  • Committee member in institutional events:

    • Vels Salute

    • Vels Nakshatra

    • Viksit Bharat

Her accolades, publications, and leadership in both academic and research spheres reflect her well-rounded excellence in the field of Computer Science.

📖Publications

Neural Network Implementation for Battery Failure Detection in Electric Vehicles
    • Authors: S. Vijitha, D. Hebri, S. Singh, M. Manohara, M. Ishrat, D.R. Joseph

    • Journal/Conference: 2023 International Conference on Innovative Computing, Intelligent Systems and Applications

    • Year: 2023

Blockchain-Based Infrastructure for Precision Agriculture
    • Authors: A. Packialatha, S. Vijitha, A. Sangeetha, K. Seetha Lakshmi

    • Journal/Conference: Integrating Blockchain and Artificial Intelligence for Industry 4.0 (Book/Chapter or Conference Proceedings)

    • Year: 2023

Data Structures Concepts and Practices using C
    • Authors: G.S. V. Lavanya, K. Jancy Rani

    • Journal/Conference: Book (Likely textbook or academic publication)

    • Year: 2025

Steganography Using Improved Diffie Hellman Algorithm and Elliptic Curve Cryptography
    • Author: P.P. Anandan R

    • Journal/Conference: IEEE Xplore

    • Year: 2025

Blockchain-based Decentralized Identifier in Metaverse Environment for Secure and Privacy Preserving Authentication with Improved Key Management and Cryptosystem
    • Author: A. R

    • Journal/Conference: Peer-to-Peer Networking and Applications

    • Year: 2025

 Edge AI: Deploying Artificial Intelligence Models on Edge Devices for Real-Time Analytics
    • Authors: S.S. Sagar Choudhary, Dokku Durga, Bhavani, Bhuvaneswari, N. Mohit Tiwari

    • Journal/Conference: Web of Science indexed publication (exact journal not specified)

    • Year: 2025

 

Ruixin Zhang | latent profile analysis | Best Researcher Award

Ms. Ruixin Zhang | latent profile analysis | Best Researcher Award

The First Affiliated Hospital of Chongqing Medical University | China

Author Profile

Orcid

🎓 Education & Clinical Foundations

From earning her Bachelor’s (2014–2018) and Master’s in Nursing (2018–2021) at Chongqing Medical University to her current role in the Orthopaedics Department at the First Affiliated Hospital of Chongqing Medical University, Ms. Zhang brings academic depth and clinical experience in elderly and orthopedic patient care.

🔍 Research & Project Leadership

She currently leads a ¥300K hospital-level project on day-surgery meniscus postoperative care, and has contributed to Chongqing-wide initiatives in stroke exercise therapy, cloud rehabilitation, cranial monitoring, and neuro-critical nutrition—blending innovation with practical impact.

🧠 Focus Areas & Expertise

Ms. Zhang specializes in geriatric rehabilitation, post‑operative orthopedic care, stroke recovery, and pulmonary infection prevention in neurologically ill patients—applying both ethical and evidence-based care.

📚 Publications & Knowledge Leadership

As first or co-first author, she’s published in journals like BMC Nursing (2025) bmcnurs.biomedcentral.com+3bmcnurs.biomedcentral.com+3link.springer.com+3, Nursing Open (2024), and European Journal of Clinical Nutrition (2022), and authored a monograph on stroke hemiplegia rehabilitation—underscoring her commitment to advancing nursing science.

🏆 Recognition & Professional Growth

Her role as principal investigator on major grants, multiple peer-reviewed publications, and the publication of a monograph highlight her strengths in project management, team leadership, and clinical practice innovation.

📖Publications

Latent profile analysis of moral courage and coping style among nursing interns: a multicenter cross-sectional survey
  • Authors: Xue Wang, Ruixin Zhang, Jie Chen, Jiao Wu, Zhi Huang

  • Journal: BMC Nursing

  • Year: 2025

  • Date Published: July 1, 2025

  • DOI: 10.1186/s12912-025-03180-z

  • ISSN: 1472-6955

2. The influence of psychological resilience and nursing practice environment on nurses’ moral courage: A cross‐sectional study
  • Authors: Ruixin Zhang, He Shan, Tang Yongli, Jie Chen, Chen Qianzhu, Wang Xue

  • Journal: Nursing Open

  • Year: 2024

  • Date Published: April 2024

  • DOI: 10.1002/nop2.2163

3. An mNUTRIC-based nomogram for predicting the in-hospital death risk in patients with acute stroke
  • Authors: Rui-xin Zhang, Wei-wei Zhang, Ye-tao Luo, Guangwei Liu

  • Journal: European Journal of Clinical Nutrition

  • Year: 2022

  • Date Published: October 2022

  • DOI: 10.1038/s41430-022-01127-0

  • ISSNs: 0954-3007 (Print), 1476-5640 (Online)