Ms. Km Poonam, National Institute of Technology Warangal, India.
๐งโ๐ Ms. Km Poonam is a Ph.D. scholar at NIT Warangal specializing in Natural Language Processing and Deep Learning. She has published several papers in SCI and Scopus journals ๐, with a focus on stance detection models. Poonam is a GATE and UGC-NET qualifier ๐ฏ and an award-winning researcher ๐. She also serves as a reviewer for Springer journals and contributes to FDPs. Her skills include Python, C++, and Data Mining ๐ป, driven by a passion for innovation and academic excellence.
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Google Scholar Profile
๐ Early Academic Pursuits
Ms. Km Poonam began her academic journey with a consistent record of excellence. She secured 77.33% in her 10th standard and 83% in her 12th, both from the UP Board. Her inclination toward computer science led her to pursue B.Tech from GBTU Lucknow with 71.9%, followed by an M.Tech from Madan Mohan Malaviya University of Technology, Gorakhpur, where she achieved an impressive 86.9%. Her commitment to research brought her to the National Institute of Technology Warangal, where she is currently pursuing her Ph.D. in Computer Science and Engineering since August 2021. ๐๐
๐ผ Professional Endeavors
As a self-driven and ambitious scholar, Poonam has actively participated in both teaching and research. She has qualified prestigious exams like GATE (2020, 2021) and UGC NET (2020) in Computer Science, showcasing her theoretical depth and academic rigor. She has also taken on mentorship and training roles, having delivered hands-on sessions during the NLP FDP by NITW and JNTU, Hyderabad (2024). ๐งโ๐ซ
๐ฌ Contributions and Research Focus On Computer Science
Poonam’s research is primarily centered on Stance Detection, Deep Learning, and Multimodal Machine Learning. Her work includes advanced techniques involving BiLSTM-GRU, Meta Learning, Fuzzy Logic, BERT, and ResNet, with applications in tweet classification and sentiment analysis. Her innovative methodologies aim to enhance accuracy and reduce bias in language models. ๐ค๐
๐ Impact and Influence
Her work has been recognized at national and international levels. She was awarded First Prize at the 18th National Frontiers of Engineering (NatFoE) Symposium (2024) for her breakthrough model on stance detection. She also contributes to the scholarly community as a reviewer for Springer publications and top-tier conferences. ๐
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๐ง Research Skills
Poonam is skilled in deep learning, natural language processing, and multimodal data analysis. Her technical arsenal includes Python, NS2, SQL, and machine learning frameworks, with hands-on expertise in Jupyter Notebook, Linux, and Visual Studio Code. Her ability to model complex neural networks with optimization techniques highlights her strong analytical and algorithmic capabilities. ๐ป๐ง
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Awards and Honors
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๐ฅ First Prize at NatFoE Symposium 2024 for research on BiLSTM-GRU model.
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๐ Reviewer for Springer journals and various international conferences.
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๐ง FDP Trainer on Natural Language Processing, NITW & JNTU, 2024.
๐๏ธ Legacy and Future Contributions
With a deep passion for research and teaching, Poonam is poised to make lasting contributions to the fields of Artificial Intelligence and Data Science. Her work not only pushes the boundaries of current computational linguistics but also sets the stage for ethical and bias-resilient AI systems. She aspires to lead multidisciplinary projects and inspire the next generation of researchers through academic service and mentorship. ๐ฎ๐
Publications Top Notes
๐ “Dual Bi-LSTM-GRU based Stance Detection in Tweets Ordered Classes”
Journal: Neural Computing and Applications
Year: 2024
Authors: K Poonam, T Ramakrishnudu
๐ง ๐ค๐ฃ๏ธ โ Deep learning, NLP, Social Media Analysis
๐ “Bias-Resilient Multi-Label Deep Learning Hybrid Model for Stance Detection”
Journal: International Journal of Data Science and Analytics
Year: 2025
Authors: KMPT Ramakrishnudu
๐๐ง ๐งพ โ AI Bias Mitigation, Data Science, Multi-label Learning
๐ “Self-Supervised Multimodal Stance Detection with BERT and ResNet”
Journal: Advanced Computing and Communications: Responsible AI (ADCOM 2461)
Year: 2025
Authors: A. Harikesh, KM Poonam, Tene Ramakrishnudu
๐ท๐ฌ๐ค โ Multimodal AI, Self-supervised Learning, Responsible AI
๐ “Proactive, Reactive, and Hybrid Routing Protocol Simulation-Based Results for MANET”
Journal: International Journal for Research in Applied Science & Engineering Technology (IJRASET)
Year: 2021
Authors: SS Poonam
๐ก๐๐ถ โ Network Protocols, MANET, Simulation-Based Analysis
๐ “An Object for Finding an Effective and Source Authentication Mechanism for Multicast Communication in the Hash Tree: Survey Paper”
Journal: International Journal for Research in Applied Science & Engineering Technology (IJRASET)
Year: 2021
Authors: SS Poonam
๐๐๐ณ โ Cybersecurity, Multicast Communication, Hash Trees