Kumari | Deep Learning | Best Researcher Award

Mrs. G. Kumari | Deep Learning | Best Researcher Award

Senior Assistant Professor at Vignan’s Institute Of Information Technology | India

Dr. G. Kumari is a highly dedicated academician and researcher in the field of Computer Science and Engineering, currently serving as an Assistant Professor in the Department of Computer Science and Engineering at Vignan’s Institute of Information Technology (Autonomous), Visakhapatnam. She is pursuing her Ph.D. from Jawaharlal Nehru Technological University, Kakinada (JNTUK), with a research focus on advanced machine learning applications, data-driven predictive systems, and intelligent computing methodologies. Her academic foundation is built upon an M.Tech in Computer Science and Engineering from Godavari Institute of Engineering and Technology (GIET), Rajahmundry, and a B.Tech in Computer Science from Aditya Institute of Technology and Management (AITAM), Tekkali. With an extensive teaching career spanning over a decade and a half across reputed institutions, she has taught core computer science subjects including Machine Learning, Software Engineering, Computer Networks, and Advanced Data Structures. Her research contributions are widely recognized, encompassing publications in reputed international journals and conferences. Her works include Diabetes Prediction using Machine Learning and Deep Neural Models with Hybrid Resampling Techniques, Graph Temporal Hybrid Neural Networks for Enhanced Malware Detection in Banking Systems, Enhancing Liver Disease Detection and Management with Advanced Machine Learning Models, Cancer Detection with Ensemble Learning Model from Novel Precedence-based Algorithms, Statistical Approaches for Forecasting Air Pollution: A Review, and Phish Alert: Phishing Website Detection using XGBoost Algorithm. She has also contributed to numerous applied AI and software engineering domains with publications such as Room Temperature Based Alerting System, Vehicle Number Plate Recognition and Logging using OpenCV and Tesseract-OCR, High-Level Security in Cloud Using Hybridization of Public Key Cryptography, A Novel Approach for Extraction of Dominant Representation Points of the Image, A Trusted New Method for Authentication and Security for Web Applications in Cloud using RSA Algorithm, Classification of Customer to Upgrade Profits in Retail Market with Deep Learning Methodology, Translation and Transliteration of Words, Future of Software Testing: Novel Perspective, Challenges, and Efficient Resource Allocation Algorithm in Dependable Distributed Computing Systems Using A Colony Optimization.

Profile: Orcid 

Featured Publications:

Rao, K. V., Devi, J. A., Anuradha, Y., Kumari, G., Kumar, M. S., & Rao, M. S. (2024, August 30). Enhancing liver disease detection and management with advanced machine learning models. International Journal of Experimental Research and Review, 42, Article 009.

Xiang Zhang | Data Science and Deep Learning | Best Researcher Award

Xiang Zhang | Data Science and Deep Learning | Best Researcher Award

Mr. Xiang Zhang, Hainan university, China

Xiang Zhang is a dedicated researcher specializing in resource utilization, plant protection, and ecological remote sensing. He holds a Master’s degree in Resource Utilization and Plant Protection and a Bachelor’s degree in Ecology from Hainan University. His expertise includes terrestrial ecosystem simulation, vegetation monitoring, and global change ecology. Xiang has contributed to mangrove carbon storage estimation, ecological restoration, and satellite image processing. He has worked with Hainan Silan Low Carbon Investment Co., Ltd. and Changguang Satellite Technology Co., Ltd.. A recipient of multiple scholarships, he actively researches carbon sequestration strategies for sustainable ecosystems.

Profile

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Education 🎓

Xiang Zhang pursued his Master’s degree at the Ecological College, specializing in Resource Utilization and Plant Protection 🌱. With an impressive GPA and ranking within the top 5% 📊, he excelled in courses such as Agricultural Product Safety Production, Advanced Experimental Design & Biostatistics, and Ecological Restoration Technologies. His Bachelor’s degree in Ecology 🌿 further strengthened his expertise, where he ranked in the top 20% and gained knowledge in Forestry, Microbiology, GIS, and Ecological Economics. His academic journey reflects a strong foundation in environmental protection, sustainable agriculture, and ecological governance 🌍.

Experience 🧪

Xiang Zhang has actively contributed to mangrove conservation 🌿 through extensive field investigations in key areas of Hainan, including Dongfang, Sanya, Danzhou, Haikou, and Wanning. He conducted soil and plant sampling 🧪, measuring element content, dry weight, and length. Utilizing satellite remote sensing 🛰️, he analyzed data and estimated the carbon ecological value of mangroves in Xinying Port. His expertise includes real-time image collection, manual vegetation recognition, and data mapping using ArcGIS and ENVI. He also worked on cloud removal techniques ☁️ and point interpolation to enhance coastal habitat studies 🌍.

Research Focus 🔍

Xiang Zhang’s research primarily focuses on forest ecology 🌳, soil organic carbon dynamics 🌱, and the impacts of environmental disturbances on ecosystems 🌪️. His studies analyze spatial distribution changes of topsoil organic carbon across different forest types in Hainan Island, exploring key factors influencing carbon storage. Additionally, he investigates gross primary production (GPP) losses and recovery in subtropical mangrove forests affected by tropical cyclones, highlighting the resilience of these ecosystems. His work contributes to climate change adaptation 🌍, carbon sequestration strategies 📉, and forest conservation efforts 🌾, offering valuable insights for sustainable environmental management.

Publications📚

Spatial Distribution Changes and Factor Analysis of Topsoil Organic Carbon Across Different Forest Types on Hainan Island

Evaluating the Losses and Recovery of GPP in the Subtropical Mangrove Forest Directly Attacked by Tropical Cyclone: Case Study in Hainan Island