Sri Vasavi Chandu | Computer Science | Best Researcher Award

Ms. Sri Vasavi Chandu | Computer Science | Best Researcher Award

SRM University AP, India

Author Profile

SCOPUS

🎓 EARLY ACADEMIC PURSUITS

Sri Vasavi Chandu began her academic journey in the field of Computer Science and Engineering with a consistent track record of academic excellence. During her undergraduate studies at SRM University, AP, she demonstrated a strong aptitude for core computing principles, programming, and data science. Her curiosity-driven approach during her formative years laid the foundation for her engagement in cutting-edge research, innovation projects, and interdisciplinary collaboration.

🏢 PROFESSIONAL ENDEAVORS

Chandu is currently an Associate Software Engineer at Accenture, where she works in the domain of SAP ABAP and SAP HANA. Her responsibilities include development, testing, and debugging of enterprise-level ABAP applications, working across modules such as Smart Forms, ALE, IDOC, ALV, Function Modules, CDS Views, and Object-Oriented Programming in SAP environments.

She has also interned with:

  • Oasis Infobyte Pvt. Ltd – where she developed responsive web pages using HTML, CSS, and JavaScript, aligning with modern frontend design practices.

  • SRM University Research Internship – contributing to advanced research in relation extraction using knowledge graphs.

  • Twowaits Technologies Pvt. Ltd – where she implemented a cryptography-based encryption-decryption tool and built structured assessment platforms using Python.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN COMPUTER SCIENCE

Chandu’s research interests span multiple domains in computer science, including:

  • Federated Learning

  • Natural Language Processing

  • Cybersecurity and Intrusion Detection

  • Machine Learning Algorithms

  • Knowledge Graphs and Information Retrieval

Her major projects include:

  • Fake News Detection using Federated Learning: Implemented advanced models like LSTM, BERT, and SVM, and deployed a verification website.

  • Music Genre Prediction using Machine Learning: Built multi-model classifiers and used PCA for effective dimensionality reduction.

  • ArtVista Art Gallery Website: Designed a dynamic, feedback-driven art portfolio website using frontend technologies.

  • Event Management System: Developed a backend-intensive platform using MySQL with optimized data storage.

  • Advanced Calculator: Built an intelligent calculator in Python supporting complex operations and robust error handling.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

Chandu has contributed to high-quality publications in reputable international journals and conferences:

  • 📄 “Federated Learning in the Detection of Fake News: A Survey”Elsevier

  • 📄 “Evaluating the Effectiveness of Machine Learning Algorithms for Network Intrusion Detection”Springer Nature

  • 📄 “A Survey on Extraction of Relations using Knowledge Graphs in Various Applications”IEEE

She has also completed professional programs and certifications including:

  • J.P. Morgan Software Engineering Virtual Experience on Forage

  • 21st Century Core Employability Skills Certificate by Skill AP (APSSDC)

  • Participant in Microsoft’s AI Skills Fest, which contributed to a Guinness World Record

🌍 IMPACT AND INFLUENCE

Chandu’s work aligns with global needs for responsible AI, misinformation control, and decentralized data protection. By tackling contemporary issues like fake news detection and network security, she aims to develop transparent, ethical, and explainable AI models. Her participation in international platforms, including Microsoft’s AI Skills Fest, underscores her commitment to leveraging technology for societal good.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Sri Vasavi Chandu is driven by a vision to bridge academic research and real-world application. She is actively shaping her future contributions toward building secure, decentralized, and trustworthy AI systems. With an expanding portfolio of AI-driven solutions and a strong foundation in enterprise technologies, she is poised to contribute to:

  • Federated and Edge AI Systems

  • AI for Social Impact

  • Intelligent Information Extraction

  • Responsible Machine Learning Practices

 ✅CONCLUSION

A driven technologist, research contributor, and solution architect in the making, Sri Vasavi Chandu represents a new generation of engineers who combine technical depth with social consciousness. Her trajectory showcases a commitment to learning, interdisciplinary problem-solving, and real-world innovation. Her future promises impactful contributions across both academia and industry.

🔬NOTABLE PUBLICATION:

Federated Learning in the Detection of Fake News: A Survey
Author: Sri Vasavi Chandu
Journal: Elsevier
Year: 2025

Evaluating the Effectiveness of Machine Learning Algorithms for Network Intrusion Detection
Author: Sri Vasavi Chandu
Journal: Springer Nature Switzerland
Year: 2024

A Survey on Extraction of Relations using Knowledge Graphs in Various Applications
Author: Sri Vasavi Chandu
Journal: IEEE
Year: 2023

Monika Goyal | Machine learning | Best Researcher Award

Dr. Monika Goyal | Machine learning | Best Researcher Award

Dayananda Sagar University- India

Author Profile

📚Early Academic Pursuits

Dr. Monika Goyal’s academic journey began with a strong foundation in Electronics and Communication Engineering. She completed her B.Tech in Electronics & Communication Engineering from Jaipur Engineering College & Research Center, Jaipur, with a commendable 78.6%. Her enthusiasm for learning led her to pursue an M.Tech in Electronics & Communication Engineering at Malviya National Institute of Technology (MNIT), Jaipur, where she excelled with a CGPA of 8.5/10. Her quest for deeper knowledge continued as she embarked on a Ph.D. journey at G.D. Goenka University, Gurgaon, specializing in Medical Image Processing, Machine Learning, and Deep Learning. During her doctoral studies, Dr. Goyal made significant contributions to her field, including publishing two SCI-indexed papers and four Scopus-indexed papers.

🌟Professional Endeavors

Dr. Monika Goyal’s professional career spans over a decade, characterized by her role as an Assistant Professor in various esteemed institutions. She currently serves at Dayanand Sagar University, Bangalore, a position she has held since 2022. Her previous roles include serving as an Assistant Professor at Poornima University, Jaipur, and WCTM, where she significantly impacted the Electronics & Communication and Computer Science departments. Her career also includes tenure at Genba Sopanrao Moze College of Engineering, Pune, Swami Keshvanand Institute of Technology, Jaipur, and the Institute of Computer and Finance Executive (ICFE) Jaipur. Dr. Goyal’s diverse experience in teaching and administration has made her a valuable asset in the engineering education sector.

🔬Contributions and Research Focus

Dr. Goyal’s research interests lie primarily in the domains of Medical Image Processing, Machine Learning, and Deep Learning. Her work includes pioneering methods for tumor detection and contrast enhancement in medical imaging. Notable publications include her paper on “Optimum Contrast Enhancement for Tumour Detection” in the International Journal of Imaging System and Technology (SCI Indexed) and her contribution to “Deep learning for enhanced brain Tumor Detection and classification” published in Results in Engineering (Q1 SCI Indexed Journal). Her research on contrast enhancement techniques, such as the use of Range Limited Weighted Histogram Equalization, has been instrumental in advancing medical image analysis. Additionally, Dr. Goyal’s work on AI and machine learning applications reflects her commitment to pushing the boundaries of technology in healthcare.

🏆Accolades and Recognition

Dr. Goyal’s exceptional contributions to engineering education and research have earned her numerous accolades and recognition. Her academic achievements, including securing top ranks during her B.Tech, M.Tech, and Ph.D., highlight her dedication and excellence. Her research has been recognized through several prestigious publications and conference presentations. Dr. Goyal’s participation in faculty development programs and conferences further underscores her commitment to continuous learning and professional growth.

🌍Impact and Influence

Dr. Goyal’s impact extends beyond academia into practical applications in medical imaging and machine learning. Her research has contributed to improved diagnostic tools and methods, enhancing the quality of healthcare services. Her involvement in mentoring engineering students and guiding their career decisions reflects her influence on the next generation of professionals. By publishing in renowned journals and participating in international conferences, Dr. Goyal has established herself as a thought leader in her field, influencing both academic and industry practices.

🚀Legacy and Future Contributions

Looking forward, Dr. Monika Goyal aims to continue her contributions to the fields of Medical Image Processing and Artificial Intelligence. Her ongoing research and commitment to academic excellence position her as a key figure in advancing these areas. With a focus on innovative solutions and technological advancements, Dr. Goyal is set to leave a lasting legacy in both the academic and professional realms. Her future work promises to further enhance healthcare technologies and contribute to the broader scientific community. Her dedication to learning, teaching, and research ensures that she will remain a significant force in engineering education and scientific research.

Citations

A total of 128 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         128
  • h-index           10
  • i10-index         4

Notable Publications 

  • Deep Learning for Enhanced Brain Tumor Detection and Classification
    Authors: Agarwal, M., Rani, G., Kumar, A., Manikandan, R., Gandomi, A.H.
    Journal: Results in Engineering
    Year: 2024
  • Contrast Enhancement of Medical Images Using Otsu’s Double Threshold
    Authors: Vinay, R., Agarwal, M., Rani, G., Sinha, A.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
  • Potential Exoplanet Detection Using Feature Selection, Multilayer Perceptron, and Supervised Machine Learning
    Authors: Sairam, K., Agarwal, M., Sinha, A., Pradeep, K.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
  • Security, Privacy, Trust, and Other Issues in Industries 4.0
    Authors: Kumar, A., Ramachandran, M., Manjula, M., Pooja, Köse, U.
    Book Title: Topics in Artificial Intelligence Applied to Industry 4.0
    Year: 2024
  • Classification of Brain Tumor Disease with Transfer Learning Using Modified Pre-trained Deep Convolutional Neural Network
    Authors: Agarwal, M., Rohan, R., Nikhil, C., Yathish, M., Mohith, K.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024