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

Manish Kumar Chandan | Computer Science | Best Researcher Award

Mr. Manish Kumar Chandan | Computer Science | Best Researcher Award

Guru Ghasidas Vishwavidyalaya, bilaspur c.g, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Manish Kumar Chandan’s academic foundation was laid with a B.Sc. in Computer Science from Atal Bihari Vajpayee Vishwavidyalaya (ABVV), Bilaspur, completed in 2020. Driven by a deep interest in computational systems and intelligent algorithms, he pursued a Master of Computer Applications (M.C.A.) from Guru Ghasidas Vishwavidyalaya (GGV), a Central University, graduating in 2022. His academic excellence and curiosity in data-driven systems led him to enroll in Ph.D. in Computer Science and IT at the same university, marking the beginning of a promising research journey.

🏢 PROFESSIONAL ENDEAVORS

Currently serving as a Research Scholar at the Department of Computer Science and IT, GGV Bilaspur, Manish has been actively involved in academic research and machine learning application development. His professional projects include Gold Price Prediction and Air Pollution Forecasting, both developed using ML/DL models and real-time datasets from CPCB. He also holds certifications in advanced AI, data science, and deep learning, demonstrating a strong commitment to continual learning and innovation.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN COMPUTER SCIENCE

Manish’s core research area revolves around Natural Language Processing (NLP), Multilingual Sentiment Analysis, and Hybrid Deep Learning Architectures. His Ph.D. research focuses on “Code-Mix Sentiment Analysis”, addressing the growing complexities of multilingual social media data. His contributions include:

  • A published survey paper on Sentiment Analysis Techniques, covering frameworks, challenges, and future directions.

  • Proposed an Attention-Augmented CNN–BiLSTM model for Hindi sentiment classification with a notable 92.81% accuracy.

  • Developed a hybrid Word2Vec + DistilBERT-based CNN–BiLSTM model, improving cross-domain sentiment classification on IMDb and Yelp datasets.

🌍 IMPACT AND INFLUENCE

Though in the early stage of his research career, Manish’s work already shows potential for real-world applications in social media monitoring, policy sentiment mapping, and digital language processing. His approaches aim to support multilingual populations, especially in India, by bridging the gap in code-mixed sentiment interpretation. With the rise of digital platforms, such research can aid governments, businesses, and healthcare sectors in public opinion analysis and customer behavior forecasting.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Manish aims to develop a comprehensive framework for Multilingual and Code-Mixed Sentiment Analysis capable of adapting to low-resource languages. Future contributions will target:

  • AI tools for regional languages

  • Emotion detection in conversational AI

  • Cross-lingual and domain adaptation methods

He also plans to mentor junior researchers, publish in top-tier journals (e.g., ACL, EMNLP, IEEE-TKDE), and contribute to open-source NLP models for Indian languages.

 ✅CONCLUSION

Manish Kumar Chandan is a promising young researcher in the field of Computer Science, making meaningful strides in AI, NLP, and Multilingual Sentiment Analysis. His academic rigor, innovative mindset, and socially impactful research make him a deserving candidate for recognition under the Indian Scientist Award. As he advances his research journey, Manish is poised to become a key contributor to India’s AI innovation ecosystem.

🔬NOTABLE PUBLICATION:

A comprehensive survey on sentiment analysis: Framework, techniques, and applications

Authors: M.K. Chandan, S. Mandal

Journal: Computer Science Review

Year: 2025