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.

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