Samreen | Agricultural and Biological Sciences | Research Excellence Award

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Assist. Prof. Dr. Samreen | Agricultural and Biological Sciences | Research Excellence Award 

Assistant Professor | Professor Jayashankar Telanagana Agricultural University | India 

Dr. Samreen is an Assistant Professor in Processing and Food Engineering at the College of Food Science and Technology, Rudrur, under Professor Jayashankar Telangana Agricultural University, holding a Ph.D. in Processing and Food Engineering. She has over seven years of teaching experience and achieved first-class distinctions in her Ph.D., M.Tech, and B.Tech degrees from Acharya N.G. Ranga Agricultural University. Her research focuses on fruit juice processing, membrane and non-thermal processing, edible coatings, biodegradable films, and millet-based products. She has contributed to laboratory development, accreditation activities, course catalogues, and practical manuals at her institution. Dr. Samreen has guided student research projects, including IGNITE programmes, and actively supported academic activities. She has published 24 research articles, along with book chapters and popular articles, in reputed journals.

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Featured Publications


Application of chitosan edible coating for preservation of tomato


– International Journal of Chemical Studies, 2020 (38 citations)

Physicochemical Characteristics of Pomegranate and Pineapple Juice


– Indian Journal of Ecology, 2020 (13 citations)

Performance Evaluation of Solar Power Operated Paddy Winnower


– International Journal of Engineering Technology Science and Research, 2017 (3 citations)

 

Basireddy Vennela | Agricultural and Biological Sciences | Excellence in Research Award

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Dr. Basireddy Vennela | Agricultural and Biological Sciences | Excellence in Research Award

Research Associate | Professor Jayashankar Telangana State Agricultural University | India

Dr. Basireddy Vennela is a highly qualified Agricultural Engineer with a Ph.D. in Farm Machinery and Power Engineering from Acharya N.G. Ranga Agricultural University, demonstrating strong academic excellence throughout his education. His research expertise centers on the design and development of advanced agricultural machinery, including tractor-operated groundnut combines, solar-operated sprayers, and sugarcane ratoon implements. He possesses over six years of professional experience as a Research Associate under the AICRP on Farm Implements and Machinery, contributing to both research and undergraduate teaching. Dr. Vennela has presented numerous research papers at national seminars and has an extensive publication record in farm mechanization, harvesting and threshing systems, and renewable energy–based agricultural equipment. His technical competencies include C programming and basic CAD/CAM, supported by substantial field and industrial training. He is dedicated to bridging technology and practical farming needs to improve agricultural productivity, sustainability, and rural livelihoods.

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Awele Okolie | Computer Science | Excellence in Research Award

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Ms. Awele Okolie | Computer Science | Excellence in Research Award

Wentworth Institute of Technology | United States

Ms. Awele Catherine Okolie is a data analyst and MSc Data Science candidate at Wentworth Institute of Technology with a strong foundation in Python, SQL, and data visualization. She has hands-on industry experience as a Data Analyst Intern at New Horizon, where she improved data accuracy, automated processes, and built real-time Power BI dashboards for business decision-making. Her work includes cleaning and analyzing large datasets, validating data during system migrations, and enhancing reporting reliability. Awele has led an end-to-end customer churn analysis project, analyzing over 7,000 telecom records and building an interactive dashboard to identify churn drivers. She also developed a Random Forest churn prediction model achieving 84% accuracy to support proactive customer retention. In addition, she has conducted customer segmentation and clustering analyses using EDA and K-Means to deliver actionable marketing insights. Her technical skill set spans Python, SQL, Excel, AWS, Snowflake, PostgreSQL, data modeling, and statistical analysis, supported by industry-recognized certifications.

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Heart disease prediction: A logistic regression approach

– Open Journal of Applied Sciences, 2025 (4 cites)

Ayomide Olubaju | Environmental Science | Research Excellence Award

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Mr. Ayomide Olubaju | Environmental Science | Research Excellence Award

Assistant Lecturer | First Technical University Ibadan | Nigeria

Mr. Olubaju Ayomide Emmanuel is a prospective PhD candidate in GIS and Remote Sensing with strong academic training in surveying and geoinformatics from the Federal University of Technology, Akure. His research focuses on environmental degradation, climate change impact assessment, urban growth, geospatial analysis, and machine learning applications. He has research and teaching experience in GIS, remote sensing, and environmental modeling, and currently serves as an Assistant Lecturer. His professional background includes engineering and cadastral surveying using GNSS and advanced geospatial tools. He has contributed to several scholarly publications and actively participates in conferences, training programs, and professional organizations, demonstrating a clear commitment to interdisciplinary research, teaching, and public service.

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Featured Publications

Geospatial Assessment of Environmental Impacts of Mining Sites on Water Sources in Itagunmodi, Osun State, Nigeria – Journal of Environmental Engineering and its Scope, 2024 (34-38) :contentReference[oaicite:0]{index=0}

Artificial Intelligence Technique for Prediction of Carbon Stocks and Uncertainty Estimates in Tropical Forests – SN Computer Science, 2025 (vol. 6, no. 4) :contentReference[oaicite:1]{index=1}

Geospatial Assessment of Environmental Impact of Urban Growth in Akure South, Ondo State, Nigeria – Journal of Environment, 2024 :contentReference[oaicite:2]{index=2}

Boosting – Trees, Forests and People, 2025 *(pending official publication link)* :contentReference[oaicite:3]{index=3}

Integrative Water Quality Assessment and Geostatistical Analysis of Mining-Impacted Groundwater: A Multi-Parameter Evaluation – Journal of African Earth Sciences, 2025 *(preprint link)* :contentReference[oaicite:4]{index=4}

Maggie Yu | Neuroscience | Research Excellence Award

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Ms. Maggie Yu | Neuroscience | Research Excellence Award 

Research Fellow | The University Of Melbourne | Australia

Ms. Maggie Yu is a PhD candidate and Research Fellow at the University of Melbourne with extensive expertise in neuroepidemiology, lifestyle research, and multiple sclerosis outcomes. She holds multiple postgraduate qualifications in organisational psychology, public health, and psychology, supported by strong quantitative and qualitative research training. Her work focuses on large longitudinal studies and randomized controlled trials, with advanced skills in biostatistics, data management, and statistical software. Maggie has led and managed major national and international research projects, supervised students and research staff, and contributed to high-impact policy and clinical research. She is an active grant recipient and co-investigator on competitively funded MS research projects. Maggie has delivered keynote, oral, and poster presentations at major international conferences. She has an extensive publication record in leading peer-reviewed journals spanning neurology, public health, nutrition, and social science research.

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