Narmilan Amarasingam | Artificial Intelligence | Best Researcher Award

Mr. Narmilan Amarasingam | Artificial Intelligence | Best Researcher Award

PhD student, Queensland University of Technology, Australia

Researcher specializing in drone-based remote sensing solutions for environmental and surveillance needs, focusing on precision agriculture and biosecurity. Expertise includes UAV remote sensing, artificial intelligence, and multispectral/hyperspectral image processing. Currently pursuing a PhD in Precision Agriculture at Queensland University of Technology.

Profile

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🎓 Education

PhD: Precision Agriculture, Queensland University of Technology (2021 – Present). MSc: Agricultural Engineering, Eastern University, Sri Lanka (2016 – 2018). BSc: Agriculture, Agricultural Engineering, Eastern University, Sri Lanka (2010 – 2015). BIT: Software Engineering, University of Colombo School of Computing, Sri Lanka (2011 – 2015)

🔍 Experience

Research Assistant at Charles Sturt University and Sunshine Coast Council on projects integrating AI and drone technology for environmental monitoring and invasive species detection.

🏆 Awards

QUT/Accelerate Higher Education Development Expansion and Development (AHEAD) World Bank Project Scholarship. Vice Chancellor’s Award for Early Career Researcher, Faculty of Technology, 2022.

🌍 Research Interests

Precision Agriculture, UAV-based Remote Sensing, Multispectral Image Processing, AI, Biosystems Engineering, Environmental Management.

📚 Publications

Co-authored numerous peer-reviewed articles in Q1 and non-Q1 ranking journals on topics related to UAV-based remote sensing and AI applications in agriculture and environmental management.

A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops
Predicting canopy chlorophyll content in sugarcane crops using machine learning algorithms and spectral vegetation indices derived from UAV multispectral imageryDetection of white leaf disease in sugarcane using machine learning techniques over UAV multispectral images
Detection of White Leaf Disease in Sugarcane Crops Using UAV-Derived RGB Imagery with Existing Deep Learning Models
N Amarasingam, F Gonzalez, ASA Salgadoe, J Sandino, K Powell
E-agricultural concepts for improving productivity: A review

Paula Montoya Lopera | Planetary Sciences | Best Researcher Award

Dr. Paula Montoya Lopera | Planetary Sciences | Best Researcher Award

Research Fellow, CODES – UTAS, Australia

Dedicated and hard-working Economic Geologist Scientist with 23 years of experience specializing in the exploration and research of various mineral deposits, including Ag/Au polymetallic epithermal, orogenic gold vein systems, and gold, copper-molybdenum porphyry deposits and skarns. Known for strong leadership and project implementation skills in applied geoscience and economic development.

Profile

Google Scholar

 

🎓 Education:

Specialization in Pedagogy, Universidad del Norte, Colombia (2022). Ph.D. Earth Science (Economic Geology), CGEO, UNAM University, Mexico (2016 – 2020). M.Sc. Earth Science (Geometallurgy), University of Tasmania, Australia (2012 – 2014). B.Sc. Geologist Engineer, National University, Colombia (1999 – 2004)

🏆 Awards:

🏆 Throughout her career, Dr. Montoya Lopera has received numerous awards, including the prestigious BAL-UNAM Award for the best Earth Science PhD thesis (2020) and a PhD Honorific Mention from CGEO, UNAM (2020). She was nominated for the Alfonso Caso Medal for outstanding PhD candidates at UNAM University and received the UNAM Recognition Award for PhD graduation on time, all in 2020. Earlier, she was honored with the OAS-CONACYT-AMEXID Award for the best PhD student at CGEO, UNAM (2016) and the CONACYT Scholarship Award for her PhD studies (2016-2020), along with the AngloGold Ashanti Scholarship Award for her MSc studies at UTAS, Tasmania, Australia (2012-2014).

💼 Experience:

Senior Economic Geologist Consultant at CCS, North University

Senior Geologist at AngloGold Ashanti

🔍 Research Interests:

🔬 Dr. Montoya Lopera’s professional skills span analytical techniques such as XRF, QXRD, and MLA data analysis, complemented by extensive experience in mine geology, geometallurgy, and applied geoscience. She is proficient in using software tools like Datamine (RM – FUSION X), Leapfrog Geo, and IoGas, among others, contributing significantly to her research and consultancy roles in economic geology and mineral exploration.

Publications 

New insights into the geology and tectonics of the San Dimas mining district, Sierra Madre Occidental, Mexico P Montoya-Lopera, L Ferrari, G Levresse, F Abdullin, L Mata Ore Geology Reviews 105, 273-294 17 2019 Development of a predictive geometallurgical recovery model for the La Colosa, porphyry gold deposits, Colombia. S Leichliter, J Hunt, R Berry, L Keeney, P Montoya-Lopera, … The first AusIMM International Geometallurgy Conference: GeoMet 2011. Brisbane 13 2011 Construcción del pensamiento pedagógico BE García, JG López, M Lopera, P Andrea, AF Moreno, PA Osorio Medellín: Universidad Pontifica Bolivariana 9 2007 New geological, geochronological and geochemical characterization of the San Dimas mineral system: Evidence for a telescoped Eocene-Oligocene Ag/Au deposit in the Sierra Madre …