Km Poonam | Computer Science | Best Researcher Award

Ms. Km Poonam | Computer Science | Best Researcher Award

Ms. Km Poonam, National Institute of Technology Warangal, India.

๐Ÿง‘โ€๐ŸŽ“ 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 ๐Ÿ“š, with a focus on stance detection models. Poonam is a GATE and UGC-NET qualifier ๐ŸŽฏ and an award-winning researcher ๐Ÿ†. She also serves as a reviewer for Springer journals and contributes to FDPs. Her skills include Python, C++, and Data Mining ๐Ÿ’ป, driven by a passion for innovation and academic excellence.

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Google Scholar Profile

๐ŸŽ“ 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. ๐ŸŽ“๐Ÿ“˜

๐Ÿ’ผ 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). ๐Ÿง‘โ€๐Ÿซ

๐Ÿ”ฌ 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. ๐Ÿค–๐Ÿ“Š

๐ŸŒ 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. ๐Ÿ…๐ŸŒ

๐Ÿง  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. ๐Ÿ’ป๐Ÿง 

๐Ÿ… Awards and Honors

  • ๐Ÿฅ‡ First Prize at NatFoE Symposium 2024 for research on BiLSTM-GRU model.

  • ๐Ÿ” Reviewer for Springer journals and various international conferences.

  • ๐Ÿง  FDP Trainer on Natural Language Processing, NITW & JNTU, 2024.

๐Ÿ›๏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. ๐Ÿ”ฎ๐Ÿ“˜

Publications Top Notes

๐Ÿ“„ “Dual Bi-LSTM-GRU based Stance Detection in Tweets Ordered Classes”
Journal: Neural Computing and Applications
Year: 2024
Authors: K Poonam, T Ramakrishnudu
๐Ÿง ๐Ÿค–๐Ÿ—ฃ๏ธ โ€” Deep learning, NLP, Social Media Analysis

๐Ÿ“„ “Bias-Resilient Multi-Label Deep Learning Hybrid Model for Stance Detection”
Journal: International Journal of Data Science and Analytics
Year: 2025
Authors: KMPT Ramakrishnudu
๐Ÿ“Š๐Ÿง ๐Ÿงพ โ€” AI Bias Mitigation, Data Science, Multi-label Learning

๐Ÿ“„ “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
๐Ÿ“ท๐Ÿ’ฌ๐Ÿค– โ€” Multimodal AI, Self-supervised Learning, Responsible AI

๐Ÿ“„ “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
๐Ÿ“ก๐Ÿ”๐Ÿ“ถ โ€” Network Protocols, MANET, Simulation-Based Analysis

๐Ÿ“„ “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
๐Ÿ”๐ŸŒ๐ŸŒณ โ€” Cybersecurity, Multicast Communication, Hash Trees

Abhilash Pati | Computer Science | Research Pioneer Award in Biomedical Sciences | 1881

Dr. Abhilash Pati | Computer Science | Research Pioneer Award in Biomedical Sciencesย 

Dr. Abhilash Pati, Siksha O Anusandhan University, Bhubaneswar, India

Dr. Abhilash Pati is an accomplished Assistant Professor in the Department of Computer Science and Engineering at Siksha โ€˜Oโ€™ Anusandhan University, Bhubaneswar, India. With over 15 years of academic and research experience, he specializes in Artificial Intelligence, Machine Learning, Blockchain, IoT, and Fog Computing. He has authored three books, published over 60 research articles indexed in Scopus and WoS, and holds three patents, including a granted design utility. His work is widely recognized in high-impact journals such as IEEE Access, Scientific Reports, and PLOS ONE. Dr. Pati is also UGC-NET qualified and actively mentors students and research initiatives.

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๐ŸŽ“ Early Academic Pursuits

Dr. Abhilash Pati’s academic journey began with a strong passion for technology and computing, which later shaped his extensive career in computer science. From his early days, he exhibited a deep curiosity in how systems work, leading him to pursue higher education in Computer Science and Engineering. His dedication and academic rigor earned him recognition early on, culminating in qualifying the prestigious UGC-NET, a testament to his proficiency and commitment to academic excellence in India. His foundational training not only built his core technical skills but also fostered an analytical mindset that would serve as the cornerstone for his research pursuits in artificial intelligence and emerging technologies.

๐Ÿง‘โ€๐Ÿซ Professional Endeavors

Dr. Abhilash Pati currently serves as an Assistant Professor in the Department of Computer Science and Engineering at Siksha โ€˜Oโ€™ Anusandhan University, Bhubaneswar, India, a premier institution recognized for academic innovation and research. With over 15 years of experience, Dr. Pati has built a career marked by dedication to teaching, curriculum development, and student mentorship.

Throughout his tenure, he has engaged in the delivery of undergraduate and postgraduate courses, supervised student projects, and contributed to the design of industry-aligned academic programs. His role is not limited to classroom instruction; he is actively involved in research groups and collaborative initiatives that bridge the gap between academia and industry. This dual focus on pedagogy and innovation has made him a respected figure among students and peers alike.

๐Ÿ”ฌ Contributions and Research Focus

Dr. Pati’s research spans several cutting-edge domains, including Artificial Intelligence (AI), Machine Learning (ML), Blockchain Technology, Internet of Things (IoT), and Fog Computing. These fields represent the frontier of technological advancement, and Dr. Patiโ€™s contributions have helped propel research in these areas, especially in applications related to smart systems and intelligent data processing.

He has authored and co-authored over 60 research publications, many of which are indexed in Scopus and Web of Science (WoS). His work is regularly published in high-impact journals such as IEEE Access, Scientific Reports (Nature Portfolio), and PLOS ONE, reflecting the global recognition of his scholarly output.

Additionally, he has authored three academic books and holds three patents, including a granted design utility patentโ€”further illustrating the practical implications of his research and its potential for technological innovation.

๐Ÿ… Accolades and Recognition

Dr. Pati’s academic and professional excellence has not gone unnoticed. His qualification in UGC-NET speaks volumes about his academic merit. Beyond that, his prolific publication record, patent filings, and scholarly books underscore his status as a thought leader in his field. His articles are frequently cited by researchers worldwide, and he has often been invited as a reviewer and editor for reputed international journals and conferences.

Moreover, his contributions are instrumental in shaping institutional research strategies, leading to enhanced collaborations and interdisciplinary research output within his university and beyond.

๐ŸŒ Impact and Influence

Dr. Pati’s influence extends far beyond the lecture hall or laboratory. As a mentor, he has guided numerous students toward academic excellence and research competence. Many of his mentees have gone on to pursue higher education, research careers, or roles in the tech industry, thanks to the foundational skills and inspiration he provided.

His interdisciplinary approachโ€”linking AI with Blockchain, or IoT with Fog Computingโ€”has opened up new research directions for his peers and collaborators. Furthermore, his publications have served as reference points in academia and industry, helping shape conversations around the ethical, scalable, and efficient deployment of smart technologies.

๐ŸŒŸ Legacy and Future Contributions

Dr. Abhilash Patiโ€™s journey is one of sustained growth, intellectual curiosity, and purposeful impact. Looking ahead, he is poised to continue contributing to the evolving technological landscape by focusing on sustainable computing, ethical AI, and decentralized systems. His vision includes building robust academic-industry partnerships and creating innovation hubs that foster student-led research and startups.

His legacy will not just be defined by the number of papers or patents, but by the culture of curiosity, critical thinking, and compassion that he instills in the next generation of computer scientists. Through teaching, mentorship, and research, Dr. Pati is building a future where technology serves humanity more intelligently and equitably.

Publication Top Notes

An IoT-fog-cloud integrated framework for real-time remote cardiovascular disease diagnosis

Author: A Pati, M Parhi, M Alnabhan, BK Pattanayak, AK Habboush, …
Journal: Informatics
Year: 2023

Heartfog: Fog computing enabled ensemble deep learning framework for automatic heart disease diagnosis

Author: A Pati, M Parhi, BK Pattanayak
Journal: Intelligent and Cloud Computing
Year: 2022

COVID-19 pandemic analysis and prediction using machine learning approaches in India

Author: A Pati, M Parhi, BK Pattanayak
Journal: Advances in Intelligent Computing and Communication
Year: 2023

A review on prediction of diabetes using machine learning and data mining classification techniques

Author: A Pati, M Parhi, BK Pattanayak
Journal: International Journal of Biomedical Engineering and Technology
Year: 2021