Ms. Neha Katiyar | Computer Science | Best Researcher AwardΒ
Bennett University, India
Professional Profile
Biography of Neha Katiyar π
Early Academic Pursuits π
Neha Katiyar’s academic journey is marked by a continuous pursuit of excellence in the field of Information Technology. She completed her high school education at Soni Pariya Inter College, Farrukhabad, securing a solid foundation in English, Hindi, Mathematics, Science, Social Science, and Drawing. Neha then pursued a Diploma in Engineering (Information Technology) from Government Girls Polytechnic, Lucknow, achieving a First Division with 70% marks. Her undergraduate studies culminated in a Bachelor of Technology in Information Technology from Sir Chhotu Ram Institute of Engineering & Technology, Meerut, where she graduated with a First Division, securing 74%. Neha further advanced her education with a Master of Technology in Information Technology from Madan Mohan Malviya University of Technology, Gorakhpur, where she continued to excel with a First Division. Currently, she is pursuing a Doctorate in Computer Science & Engineering at Bennett University, Greater Noida, demonstrating her unwavering commitment to academic growth and specialization.
Professional Endeavors π’
Neha Katiyar has amassed a diverse range of professional experiences, each contributing to her expertise in academia and research. She began her career as a Research Assistant at Ajay Kumar Garg Engineering College, Ghaziabad, working on a project titled “Compressed Parallel Wavelet Tree Based on Semantic Search.” Funded by the Council of Science and Technology, Uttar Pradesh, this project was guided by esteemed professors from AKGC and NIT Hamirpur. Neha then served as an Academic Associate at the Indian Institute of Management, Rohtak, where she assisted faculty members, engaged in empirical research, managed conferences, and evaluated academic copies. Following this, she joined the Noida Institute of Engineering and Technology as an Assistant Professor, contributing significantly to academic work, research, and the preparation of educational materials from April 2022 to May 2023.
Contributions and Research Focus π
Neha’s research interests are deeply rooted in cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT). She has actively participated in numerous faculty development programs, workshops, and online courses to enhance her knowledge and skills in these areas. Her contributions include empirical research, conference presentations, and publications in prestigious conferences and journals. Her notable research work includes studies on diabetes detection using IoT techniques, sentiment analysis using machine learning, wavelet tree ensembles with machine learning, and perspectives on 6G networks. Neha has also worked on projects like “Advanced Diabetes Mellitus Prediction on Imbalanced Data with Missing Values” and “Crop Residue Management” for reducing CO2 emissions, showcasing her commitment to addressing real-world problems through innovative solutions.
Accolades and Recognition π
Neha’s scholarly efforts have been recognized through various publications and presentations at national and international conferences. Her work has been published in notable conferences such as ICRCSIT, ICMETE, and ICDAM, among others. She has also contributed to journals within the Taylor and Francis Group, further establishing her presence in the research community.
Impact and Influence π
Neha’s research has significant implications in the fields of IoT, AI, and ML, particularly in healthcare, data management, and environmental sustainability. Her work on diabetes detection and crop residue management highlights her ability to apply advanced technological solutions to critical societal issues. Her involvement in faculty development programs and workshops also demonstrates her commitment to continuous learning and knowledge dissemination.
Legacy and Future Contributions π
Looking ahead, Neha Katiyar aims to expand her research contributions and influence within the academic and professional communities. She envisions further advancements in her research areas, collaborative projects with other experts, and the mentorship of aspiring researchers. Her dedication to innovation and academic excellence positions her as a significant contributor to the future of technology and its applications.
Journal: International Conference on Micro-Electronics and Telecommunication
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Year: 2021
Paper Title: Wavelet Tree ensembles with Machine Learning and its classification
Authors: N Katiyar, S Gupta, AK Yadav, D Yadav
Journal: Journal of Physics: Conference Series
Volume: 1998
Issue: 1
Pages: 012001
Year: 2021
Paper Title: Machine Learning Technique for Target-Based Sentiment Analysis
Authors: J Srivastava, N Katiyar
Journal: Micro-Electronics and Telecommunication Engineering
Volume: –
Issue: –
Pages: 161-169
Year: 2021
Paper Title: Intelligent E-Learning Platform Consolidating Web of Things and Chat-GPT
Authors: Neha Katiyar, Mayank Deep Khare, Jatin Kumar, Ayush Sharma, Sachin Rawat, Jyoti
Journal: Internet of Things enabled Machine Learning for Biomedical Application
Volume: 1
Issue: –
Pages: 512
Year: 2024
Paper Title: Recent Advancements using Machine Learning & Deep Learning Approaches for Diabetes Detection: A Systematic Review
Authors: N Katiyar, HK Thakur, A Ghatak
Journal: e-Prime-Advances in Electrical Engineering, Electronics and Energy
Volume: –
Issue: –
Pages: 100661
Year: 2024
Paper Title: Trending IoT Platforms on Middleware Layer
Authors: N Katiyar, P Kumari, S Sakhshi, J Srivastava
Journal: Intelligent Analytics for Industry 4.0 Applications
Volume: –
Issue: –
Pages: 131-147
Year: 2023
Paper Title: Index Optimization Using Wavelet Tree and Compression
Authors: S Gupta, N Katiyar, AK Yadav, D Yadav
Journal: Proceedings of Data Analytics and Management: ICDAM 2021
Volume: 1
Issue: –
Pages: 809-821
Year: 2022
Paper Title: Diabetes Detection using IoT Techniques and Platforms: A Survey
Authors: N Katiyar
Journal: International Conference on Recent Trends in Computer Science and
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Issue: –
Pages: –
Year: 2020