KALA K U | AI in Agriculture | Outstanding Scientist Award

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Dr KALA  K U | AI in Agriculture | Outstanding Scientist Award

ASSISTANT PROFESSOR AT  JAIN UNIVERSITY, INDIA

Dr. Kala K U is a dedicated and experienced college professor and researcher specializing in computer science and artificial intelligence. With a PhD in Computer Science and Engineering from Pondicherry University, India, and over four years of teaching experience, Dr. Kala has made significant contributions to the field of deep learning and machine learning.

Publication Profile:🌟👨‍🎓

Education:

PhD in Computer Science and Engineering, Pondicherry University, India (2017-2021). Master of Computer Applications, University of Calicut, Kerala, India (2009-2012). Bachelor of Information Technology, University of Calicut, Kerala, India (2005-2008)

Research Contributions:

Proposed a 2D-GRU model for individual attention to every context. Developed DTW based 2D-GRU model for solving temporal pattern matching problem. Introduced Multi-Gated GRU (M-GRU) model for modeling the effect of each category of contexts individually. Proposed a Two Phase-Attention mechanism for incorporating user intentions. Utilized bidirectional training approach for considering both past and future contexts.

Awards and Achievements:

Best Researcher Award, Global Awards on Artificial Intelligence and Robotics (AIR2022). Best Presenter Award, International Conference on Emerging Smart Computing and Informatics (ICESCI 2020)

Experience:

Assistant Professor, University Institute of Engineering and Technology, Guru Nanak University, Telangana, India. Assistant Professor, School of Computer Applications, Lovely Professional University, Punjab, India. Junior Research Fellow, Department of Computer Science, Pondicherry University, Puducherry, India. Assistant Professor on Contract, Department of Computer Applications, Sree Keralavarma College, Thrissur, Kerala, India. Assistant Professor, Department of Master of Computer Applications, Institute of Management and Technology, Thrissur, Kerala, India.

Research Focus: AI in Agriculture

Specializes in AI in Agriculture, focusing on developing advanced algorithms and deep learning models for analyzing agricultural data to enhance crop yield, disease detection, and pest management.

 

Publications Top Notes:

  1. Deep Learning Model of Sequential Image Classifier for Crop Disease Detection in Plantain Tree Cultivation
    • Authors: Nandhini, M.; Kala, K. U.; Thangadarshini, M.; Madhusudhana Verma, S.
    • Published in: Computers and Electronics in Agriculture, 2022, 197, 106915
  2. ILeHCSA: An Internet of Things Enabled Smart Home Automation Scheme with Speech Enabled Controlling Options Using Machine Learning Strategy
    • Authors: Robert, N. R.; Anija Starry, B.; Samuel, F. J.; Kumar, M. S.; Edison, M.
    • Published in: International Journal of Advanced Technology and Engineering Exploration, 2021, 8(85), pp. 1695–1704
    • [Open access]
  3. Performance Analysis of Pre-Processing Techniques in Plantain Tree Disease Classification with Convolutional Neural Network
    • Authors: Nandhini, M.; Kala, K. U.; Thangadarshini, M.; Verma, S. M.
    • Published in: Proceedings of the 5th International Conference on Trends in Electronics and Informatics, ICOEI 2021, 2021, pp. 870–874, 9452863
  4. Early Diagnosis of Chronic Kidney Disease Using Machine Learning Algorithms with Least Parameters by RFE and Feature Importance Techniques
    • Authors: Kavitha, K.; Kala, K.
    • Published in: Advances in Intelligent Systems and Computing, 2021, 1292, pp. 167–177
  5. Applicability of Deep Learning Techniques for Crop Protection in Plantain Tree Cultivation
    • Authors: Nandhini, M.; Thangadarshini, M.; Kala, K. U.; Madhusudhanaverma, S.
    • Published in: Indian Journal of Computer Science and Engineering, 2021, 12(1), pp. 1–9
    • [Open access]

Priyakant Sinha | Food Systems | Best Researcher Award

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Dr Priyakant Sinha | Food Systems | Best Researcher Award

Lecturer at  University of New England, Australia

Dr. Priyakant Sinha is a distinguished researcher and academic in the field of Applied Agriculture Remote Sensing, currently affiliated with the University of New England (UNE) in Armidale, NSW, Australia. He holds a Doctor of Philosophy degree from UNE, with a focus on GIS and remote sensing-based land cover change detection and biodiversity assessment in parts of NSW, Australia.

 

Publication Profile:🌟👨‍🎓

Education:

Ph.D.: University of New England, Armidale, NSW, Australia (2013) Thesis: GIS and remote sensing based land cover change detection, prediction modelling, and assessment of change on biodiversity using time‐series data in parts of NSW, Australia. M.Sc.: Environmental Science and Management – University of New England, Armidale, NSW, Australia (2018) M.Tech.: Remote Sensing – Birla Institute of Technology, Ranchi, India (1999) Thesis: Wasteland mapping and monitoring of parts of Samastipur district using remote sensing and GIS techniques. (First Class First with distinction 92%) (1999)

Key Achievements:

Led research projects totaling $1,663,166 in external funding. Developed machine learning methodologies for discerning banana genotypes in Uganda. Pioneered research in Canola Windrow Timing Prediction using time-series remote sensing data and machine learning techniques.

 

Research Focus:

Dr. Sinha’s research is deeply rooted in the intersection of remote sensing, GIS, and agriculture. His work spans diverse landscapes, from rangelands to mango orchards, employing cutting-edge techniques like machine learning and high-resolution satellite imagery. He explores the nuances of habitat modeling for seabird colonies and assesses the potential of in-situ hyperspectral remote sensing for banana genotypes in Uganda. With an extensive publication record and ongoing projects, he contributes significantly to characterizing, mapping, and monitoring ecosystems. Dr. Sinha’s research not only advances scientific understanding but also holds practical implications for sustainable agriculture and biodiversity conservation. 🌐🛰️🌱

 

Citations:

Dr. Priyakant Sinha’s citation metrics demonstrate a notable impact in the academic community:

  • Total Citations: 970
  • Citations Since 2019: 690
  • h-index: 15
  • i10-index: 17

These metrics reflect the breadth and significance of Dr. Sinha’s contributions to the field, showcasing sustained academic influence and a consistent citation trajectory. 📚

 

Publications Top Notes: