Gom Dorji | Smart agriculture | Best Researcher Award

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Mr Gom Dorji | Smart agriculture | Best Researcher Award

Lecturer at  College of Science and Technology, Bhutan

Gom Dorji (born 10 March 1991) is a Bhutanese academic and researcher, currently serving as the Head of the Electrical Engineering Department at the College of Science and Technology (CST), Royal University of Bhutan, Chhukha. He is a Lecturer in the Electrical Engineering Department, where he has been a faculty member since 2015, progressively advancing from Assistant Lecturer to his current role.

Profile

Educational Background:

B.E. in Electrical Engineering (2015) from CST, Royal University of Bhutan. MSc in Electrical Engineering (2018) from Frederick University, Nicosia, Cyprus. Post Graduate Certificate in Higher Education (2019) from Samtse College of Education

Research and Fellowship:

Indian Science and Research Fellowship at IIT Mandi, India (2019-2020). Notable research includes studying local grid behavior with increased solar PV integration and harmonic analysis of wind farms.

Professional Involvement:

Member of the Electrical and Electronics Engineering Technical Committee (TC-03) at the Bhutan Standard Bureau since 2023. Involved in numerous projects funded by various grants, focusing on renewable energy, power quality, and sustainable agricultural practices.

Skills:

Expertise in higher education teaching, data analysis, technical documentation, and experimental research. Proficient in MATLAB, AUTOCAD, Openstudio, R programming, and DIALux for lighting designs.

Honors and Grants:

Recipient of several academic honors and research grants, including funding for the development of smart greenhouses and power quality assessment projects.

Research Focus: Smart agriculture

Gom Dorji’s research in smart agriculture is geared towards enhancing agricultural productivity and sustainability in temperate and alpine regions. He is leading a project focused on the development of smart greenhouses, funded by the Asia-Pacific Network for Global Change Research (APN). This project, which began in November 2021, aims to leverage advanced technologies to improve farming practices and ensure future food sustainability. The project has received significant funding of USD 54,000, highlighting its importance and potential impact.

Publications Top Notes

  • A case study on power quality analysis for 600 kW grid connected wind farm
    • Dorji, G., Zangpo, J., Pindoriya, R.M., Rajpurohit, B.S.
    • PIICON 2020 – 9th IEEE Power India International Conference, 2020, 9112867
  • A case study on PV system performance and LCOE of 15.6 kW hybrid solar PV system installed at CST
    • Dorji, G., Dawa, R., Tenzin, P., Dema, T., Zangpo, J.
    • PIICON 2020 – 9th IEEE Power India International Conference, 2020, 9112931
  • Optimization of biogas production from kitchen waste installed at college of science and technology
    • Tenzin, T., Wangdi, S., Dorji, G., Pradhan, P., Pradhan, B.
    • 2018 International Conference on Computing, Power and Communication Technologies, GUCON 2018, 2019, pp. 956–960, 8674963
  • A 302 uW CMOS temperature sensor to compensate frequency drift for an oscillator
    • Zangpo, J., Dorji, G., Guilherme, J., Horta, N.
    • IEMECON 2019 – 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference, 2019, pp. 56–59, 8877049
  • Harmonic analysis of a 10.8 MW installed capacity wind farm in Cyprus
    • Dorji, G., Christofides, N., Polycarpou, A.
    • Proceedings – 2017 International Conference on Modern Power Systems, MPS 2017, 2017, 7974417
  • Design, modeling and simulation of low cost robust electric fence energizer in LT SPICE
    • Tenzin, N., Norbu, S., Dorji, G.
    • Proceedings of the 2017 IEEE International Conference on Communication and Signal Processing, ICCSP 2017, 2017, 2018-January, pp. 52–55

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]