Nilamadhab Mishra | Artificial Intelligence | Best Researcher Award

Dr. Nilamadhab Mishra | Artificial Intelligence | Best Researcher Award

VIT Bhopal University, India

Author Profile

Early Academic Pursuits 🎓📘

Dr. Nilamadhab Mishra, often referred to as Dr. N. Mishra, embarked on his academic journey with a strong foundation in computer science and engineering, leading him to pursue his Doctor of Philosophy (Ph.D.) in Computer Science & Information Engineering. He specialized in the field of Data Science and Machine Learning, which laid the groundwork for his future research and professional pursuits. His Ph.D. was awarded by Chang Gung University (CGU) in Taiwan, a well-regarded institution ranked in the 601-800 bracket in the Times Higher Education World University Rankings (2016) and positioned at 429 in the QS World University Rankings the same year. This esteemed academic environment at CGU provided Dr. Mishra with valuable exposure and contributed significantly to his evolving expertise in AI and machine learning.

Professional Endeavors 🏫🔬

With over 22 years of experience spanning academia and research across India, Taiwan, and Africa, Dr. Mishra has significantly impacted both national and international institutions. Currently, he serves as an Associate Professor in the School of Computer Science and Engineering, specifically within the AI-ML Division, at VIT Bhopal University in India. His teaching roles have encompassed diverse computer science topics, while his dedication to research has led him to work on multiple funded projects from Taiwan’s Ministry of Science and Technology (MOST), the National Science Council (NSC), and Chang Gung University Memorial Hospital. These projects allowed him to explore complex, real-world challenges within the fields of artificial intelligence, data science, and machine learning, all of which are central to his ongoing professional focus.In addition to his academic roles, Dr. Mishra has contributed his expertise to several notable professional organizations. He is a Life Member of the Computer Society of India (CSI), a Fellow Member of the International Society for Research and Development (ISRD), and a Senior Member of both the Asia Society of Researchers (ASR) and the International Economics Development and Research Center (IEDRC), both based in Hong Kong. His international affiliations reflect his deep commitment to staying connected with the global research community, enhancing his academic and professional insights.

Contributions and Research Focus 🔍📊

Dr. Mishra’s research primarily revolves around artificial intelligence (AI), data science, and machine learning, with an emphasis on cognitive application modeling. His scholarly work includes over 50 publications in highly regarded SCI/SCIE and SCOPUS-indexed journals, book chapters, Indian and Australian patents, and IEEE conference proceedings. His impressive publication record has positioned him as a thought leader in his field. As an active researcher, he has also taken on roles as a reviewer, associate editor, and editorial board member for several SCI/SCIE-indexed journals and conferences, further broadening his impact in the academic community.Through his Ph.D. research, Dr. Mishra contributed significantly to several funded research projects aimed at advancing medical and scientific knowledge, particularly in collaboration with CGU Memorial Hospital. His work on data-driven insights and predictive models has applications in healthcare and other sectors, highlighting the transformative potential of machine learning and data science to solve complex societal issues.

Accolades and Recognition 🏆📜

Dr. Mishra’s dedication to excellence in his field has earned him numerous accolades. In 2018, he was recognized as a “Top Author” on PubFacts.com, and his name was recorded in the prestigious World Book of Researchers, published in Oxford, United Kingdom. His international recognition extends to his status as an Associate Editor for two SCOPUS-indexed journals, a position that underscores his expertise in evaluating cutting-edge research.Further distinguishing his career is his qualification in the Test of English as an International Communication (TOEIC), demonstrating his proficiency in engaging with the global academic and professional community. His inclusion in the World Book of Researchers and his recognition by PubFacts.com reflect his influential presence and active contribution to the research world.

Impact and Influence 🌎📈

Dr. Mishra’s impact is evident in his prolific body of research, his commitment to teaching, and his active role in academic service. His publications in high-impact journals have influenced the fields of AI, machine learning, and data science, inspiring other researchers and contributing to advancements in technology and science. As an Associate Professor, he mentors the next generation of computer scientists, instilling in them both technical knowledge and a passion for research. His influence extends beyond the classroom through his involvement in professional organizations, where he collaborates with researchers from around the globe to advance scientific understanding.Additionally, his membership in organizations such as ORCID, IEEE Collabratec, and the International Association of Engineers (IAENG) highlights his dedication to continuous learning and professional development. These platforms allow him to exchange ideas with other experts, stay abreast of the latest technological advancements, and integrate this knowledge into his teaching and research.

Legacy and Future Contributions 🌠📅

As Dr. Mishra continues to contribute to the fields of AI, machine learning, and data science, his work will undoubtedly leave a lasting legacy. His dedication to advancing these fields has already established him as a respected figure in academia, and his ongoing research promises to push the boundaries of what is possible in cognitive application modeling and data-driven decision-making. His legacy also includes his contributions to professional organizations and his mentorship of students, both of which ensure that his impact will resonate with future generations of researchers and engineers.Looking ahead, Dr. Mishra aims to deepen his research in machine learning and AI applications, potentially exploring their intersections with cognitive science and healthcare. His future contributions promise to enhance our understanding of these technologies and their potential to address global challenges. Through his dedication to research, teaching, and mentorship, Dr. Mishra is well-positioned to continue making meaningful contributions to the academic and scientific communities for years to come.

Citations

A total of 323 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         323
  • h-index           64
  • i10-index        10

Notable Publications 

  • Title: Hybrid optimization enabled squeeze net for phishing attack detection
    Authors: Kamble, N., Mishra, N.
    Journal: Computers and Security
    Year: 2024.
  • Title: A blockchain-based deep learning system with optimization for skin disease classification
    Authors: Rokade, S., Mishra, N.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.
  • Title: Unveiling the effectiveness of ML models for predicting Forex trends: An AI-ML-driven service into trade marketing
    Authors: Sodha, M., Nayak, R.K., Mishra, N., Tripathy, R., Singh, H.
    Book Chapter: AI Innovations in Service and Tourism Marketing
    Year: 2024.
  • Title: QHopNN: investigating quantum advantage in cryptanalysis using a quantum hopfield neural network
    Authors: Hariharasitaraman, S., Mishra, N., Vishnuvardhanan, D.
    Journal: Physica Scripta
    Year: 2024.
  • Title: PD-DETECTOR: A sustainable and computationally intelligent mobile application model for Parkinson’s disease severity assessment
    Authors: Mishra, S., Jena, L., Mishra, N., Chang, H.-T.
    Journal: Heliyon
    Year: 2024.

Aqil K H | Artificial intelligence | Best Researcher Award

Mr. Aqil K H | Artificial intelligence | Best Researcher Award

Indian institute of technology Madras-India

Author Profile

Early Academic Pursuits 📚

Dr. Aqil K H’s passion for electrical engineering and innovation began at a young age in Kerala, India. His academic journey started at the Model Technical Higher Secondary School in Ernakulam, where he excelled in the state board exams, securing an impressive 98.33% in 2012 for his X standard and 95.58% in 2014 for his XII standard. These early achievements underscored his commitment to learning and laid the foundation for his future success. After completing his pre-university education, he pursued a Bachelor of Technology (B.Tech) degree in Electronics and Communication Engineering (ECE) from the prestigious Government Model Engineering College in Ernakulam, Kerala, where he graduated with a commendable CGPA of 8.36 in 2018. His strong academic foundation and technical skills positioned him for higher studies and research.

Professional Endeavors 🌍

Dr. Aqil’s career began as a Software Engineer at Kimball Electronics (India) Pvt. Ltd., where he contributed to various projects within the image processing domain. His role involved the development of computer vision frameworks and algorithm optimization for improving image quality. Working closely with clients in Vietnam, he demonstrated his adaptability and ability to manage real-world challenges, marking his early years of professional growth.In 2020, Dr. Aqil transitioned into research, joining the Healthcare Technology Innovation Centre (HTIC) at IIT Madras, one of the country’s leading research institutes. As a Research Associate, he worked on several impactful projects. One notable project was the X-ray angiography image enhancement initiative, where he collaborated with industry partners to enhance imaging technology. His work on precision medicine for chronic diseases, particularly Alzheimer’s, further expanded his contributions to healthcare innovations. This multi-modal time series forecasting system, aimed at predicting disease progression, utilized cutting-edge techniques like graph representation learning.Additionally, Dr. Aqil became associated with the Sudha Gopalakrishnan BRAIN Centre at IIT-M, where he contributed to groundbreaking research in fetal brain MRI segmentation and histopathology image segmentation. These projects highlighted his ability to apply machine learning and image processing techniques to critical medical fields.

Contributions and Research Focus 🔬

Dr. Aqil’s research primarily focuses on deep learning, machine learning, and image processing, with a particular interest in healthcare applications. His expertise lies in creating sophisticated algorithms and frameworks for medical imaging, including MRI segmentation, dental panoramic X-ray analysis, and time-series forecasting for clinical outcomes.

Some of his key projects include:

  • Learning to Atlas Register for Rapid Segmentation of Brain Structures in Fetal MRI: This innovative project addressed challenges in brain segmentation, focusing on multilabel atlas-based segmentation. By using the VoxelMorph’s CNN architecture, Dr. Aqil formulated registration as a deformation field that aligned neurotypical brain images for better diagnosis.
  • Time Series Forecasting of Clinical Factors and Outcomes: This project was geared toward Alzheimer’s disease prediction, using a graph representation learning approach. Dr. Aqil proposed a novel framework that operated on dynamic graphs, translating medical data into actionable insights for clinicians.
  • Accelerated MRI with Untrained Neural Networks: Addressing the problem of MRI reconstruction, this project leveraged untrained neural networks to solve issues related to undersampling, using innovative techniques like ConvDecoder.

His work on dental panoramic X-ray segmentation utilized deep learning techniques to enable the early diagnosis of dental disorders. Dr. Aqil’s fascination with machine learning also extended into areas of face recognition technology, where he developed a door access control system based on K-L transform for face recognition.

Accolades and Recognition 🏅

Throughout his career, Dr. Aqil has earned widespread recognition for his contributions to both research and industry. His academic achievements, such as a CGPA of 9.00 in his Master’s program at IIT-Madras, reflect his dedication to excellence. His research endeavors at IIT-Madras’s HTIC and BRAIN Centre have led to publications that have earned citations, indicating his growing influence in the field of medical image processing and machine learning.

Impact and Influence 🌟

Dr. Aqil’s research has had a profound impact on the field of medical imaging. His work on X-ray angiography and fetal brain MRI segmentation has improved diagnostic capabilities, helping doctors make more informed decisions. The time series forecasting systems he developed for Alzheimer’s disease prediction are poised to revolutionize how chronic diseases are managed and treated. His contributions to precision medicine are critical in an era where personalized treatment plans are becoming the norm.His research contributions extend beyond academic circles, as his image processing frameworks are being implemented in real-world medical settings, influencing the future of healthcare technology.

Legacy and Future Contributions 🚀

Dr. Aqil K H is set to leave a lasting legacy in the intersection of electrical engineering and healthcare technology. His groundbreaking work in image processing and deep learning promises to continue shaping the future of medical diagnostics. As a researcher, his contributions to accelerated MRI reconstruction and graph-based time-series forecasting have set new standards in medical imaging research. His passion for education, research, and technological advancement ensures that his work will inspire future engineers and researchers.In the coming years, Dr. Aqil aims to expand his research to include multi-modal medical data integration and AI-driven healthcare solutions, further pushing the boundaries of how technology can improve human health. His dedication to innovation, collaboration, and continuous learning will undoubtedly leave an enduring mark on the fields of deep learning and medical imaging.

Notable Publications 

  • Predictive Modeling of Alzheimer’s Disease Progression: Integrating Temporal Clinical Factors and Outcomes in Time Series Forecasting
    Authors: Aqil, K.H., Dumpuri, P., Ram, K., Sivaprakasam, M.
    Journal: Intelligence-Based Medicine, 2024.
  • Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields
    Authors: Aqil, K.H., Kulkarni, T., Jayakumar, J., Ram, K., Sivaprakasam, M.
    Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023.
  • Learning to Atlas Register for Rapid Segmentation of Brain Structures in Fetal MRI
    Authors: Kulkarni, T., Aqil, K.H., Jayakumar, J., Ram, K., Sivaprakasam, M.
    Journal: Progress in Biomedical Optics and Imaging – Proceedings of SPIE, 2023.