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Dr. Prashant Kapil | AI and Natural Language Processing | Best Researcher Award 

Distinguished Academic and Researcher, Bennett University, India

Dr. Prashant Kapil is a dedicated researcher and academic recognized for his expertise in Artificial Intelligence (AI) and Natural Language Processing (NLP), focusing on hate speech detection, cross-lingual learning, and ethical AI for social media safety. He earned his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Patna,  Dr. Kapil also holds an M.E. in Software Engineering from Jadavpur University and a B.Tech in Information Technology from the West Bengal University of Technology, forming a strong academic foundation in computational systems and intelligent algorithms. Professionally, he serves as an Assistant Professor at Bennett University (The Times Group), where he teaches and supervises research in machine learning, NLP, and AI ethics. His Scopus ID is 57219354937, with 157 citations from 154 documents, 4 indexed publications, and an h-index of 3, underscoring his growing research influence. His interests span multimodal and multilingual NLP, transformer-based deep learning, sentiment and emotion analysis, and AI fairness in communication technologies. Dr. Kapil possesses advanced research and analytical skills in Python programming, deep learning frameworks, and computational model development, complemented by his expertise in academic writing and data-driven experimentation. His honors include the Graduate Aptitude Test in Engineering (GATE) Scholarship, the UGC JRF-SRF Fellowship, and the Institute Ph.D. Fellowship from IIT Patna, recognizing his outstanding academic achievements.

Featured Publications

  • Kapil, P., & Ekbal, A. (2025). A transformer-based multi-task learning approach to multimodal hate detection. Natural Language Processing Journal, 2025. (12 citations)

  • Kapil, P., & Ekbal, A. (2023). HHSD: Hindi hate speech detection leveraging multi-task learning. IEEE Access, 2023. (45 citations)

  • Kapil, P., & Ekbal, A. (2020). A deep neural network-based multi-task learning approach to hate speech detection. Knowledge-Based Systems, 2020. (68 citations)

  • Kapil, P., & Ekbal, A. (2024). Cross-lingual zero-shot and few-shot learning for hate speech detection. SSRN Working Paper, 2024. (32 citations)

Dr. Prashant Kapil | AI and Natural Language Processing | Best Researcher Award – 2243

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