Gom Dorji | Smart agriculture | Best Researcher Award

Mr Gom Dorji | Smart agriculture |Β Best Researcher Award

Lecturer atΒ Β College of Science and Technology,Β 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

Marc Escriba Gelonch | Precision Agriculture | Excellence in Research

Dr Marc Escriba Gelonch | Precision Agriculture | Excellence in Research

Investigador atΒ Β Universitat de Lleida,Β Spain

Dr. Marc EscribΓ -Gelonch is a renowned researcher and academician with expertise in flow chemistry, sustainability, and process development. He holds a Ph.D. in Agronomic, Food, and Forestry Systems from the University of Lleida, where he graduated with top honors. Throughout his career, Marc has held prestigious postdoctoral positions at esteemed institutions such as Eindhoven University of Technology and Centre National de la Recherche Scientifique (CNRS) in France.

Publication Profile:πŸŒŸπŸ‘¨β€πŸŽ“

πŸŽ“ Education:

PhD in Agronomic, Food and Forestry Systems, University of Lleida. Master in Workplace Health and Safety, Financial Studies Center (Madrid). Various postgraduate studies in Cooperative societies, Food industries, and more.

πŸ† Awards & Recognitions:

European Climate Pact Ambassador for Spain. Multiple fellowships and grants for research excellence. Winner of the “Poster of the Year” award and “Green Pharmaceuticals Award.”

πŸ”¬ Academic Achievements:

Contributor to indexed journals and associate editor roles. Member of university boards and PhD evaluation committees.

πŸ“š Research Interests:

Microreactors and flow chemistry, sustainability, process development, process intensification, food chemistry, multi-step and multiphase synthesis, photo-chemistry, enzyme & non-enzyme mediated catalysis.

πŸ”¬ Research Focus: Precision Agriculture

Microreactors and flow chemistry. Sustainability in chemical processes. Process development and intensification. Food chemistry. Multi-step and multiphase synthesis. Photochemistry. Enzyme and non-enzyme mediated catalysis

These areas indicate a strong emphasis on developing innovative and sustainable chemical processes, particularly in the context of food chemistry, utilizing techniques such as microreactors and flow chemistry, as well as exploring various catalytic mechanisms including enzymatic and non-enzymatic pathways.

 

Publications Top Notes:

  1. “Definition of agronomic circular economy metrics and use for assessment for a nanofertilizer case study”
    • Journal: Plant Physiology and Biochemistry
    • Year: 2023
    • Volume: 196
    • Pages: 917–924
    • Co-authors: Butler, G.D., Goswami, A., Tran, N.N., Hessel, V.
    • Abstract: This article discusses the definition of agronomic circular economy metrics and their application in assessing a nanofertilizer case study.
  2. “Synthesis of New Amino-Functionalized Porphyrins: Preliminary Study of Their Organophotocatalytic Activity”
    • Journal: Molecules
    • Year: 2023
    • Volume: 28(4)
    • Pages: 1997
    • Co-authors: Torres, P., GuillΓ©n, M., Crusats, J., Moyano, A.
    • Abstract: The article presents the synthesis of amino-functionalized porphyrins and explores their organophotocatalytic activity.
  3. “Process Technology and Sustainability Assessment of Wastewater Treatment”
    • Journal: Industrial and Engineering Chemistry Research
    • Year: 2023
    • Volume: 62(3)
    • Pages: 1195–1214
    • Co-authors: Tran, N.N., Sarafraz, M.M., Sagadevan, S., Hessel, V.
    • Abstract: This review article discusses process technology and sustainability assessment methods for wastewater treatment.
  4. “Circular bioprocess for phosphorus nutrient recovery to grow lettuce in lunar space”
    • Journal: Green Chemistry
    • Year: 2023
    • Volume: 25(2)
    • Pages: 755–770
    • Co-authors: Hessel, V., Sojitra, M.K., McLaughlin, M., Tran, N.N.
    • Abstract: This article describes a circular bioprocess for recovering phosphorus nutrients to grow lettuce in lunar space.

 

Carla Maria Schmidt | Agribusiness | Best Researcher Award

Prof Dr Carla Maria Schmidt | Agribusiness |Β Best Researcher Award

Dr. Carla Maria Schmidt atΒ  Universidade Estadual do Oeste do ParanΓ‘ – Unioeste, Brazil

Dr. Carla Maria Schmidt is an accomplished academic professional with a distinguished career in the field of Management. Born on March 20, 1979, in Brazil, she holds a Postdoctoral degree in Applied Social Sciences from the Regional University of Blumenau and a Ph.D. in Administration from the University of SΓ£o Paulo.

 

Publication Profile:πŸŒŸπŸ‘¨β€πŸŽ“

πŸŽ“ Education & Experience:

Carla holds a Postdoctoral degree in Applied Social Sciences from FURB (2014) and a Ph.D. in Administration from the University of SΓ£o Paulo (2010). With a Master’s degree in Administration and a Bachelor’s in Executive Secretariat from Unioeste, her academic journey reflects a commitment to continuous learning.

πŸš€ Research & Contributions:

Carla is not just an academic; she’s a research powerhouse. Leading the GPSEB Research Group since 2011 and coordinating the NEPIS center, she’s dedicated to advancing Management, Agroindustrial Systems, Cooperation, and Sustainability. Her 175 published books and numerous projects underline her commitment to innovation and knowledge dissemination.

πŸ† Awards & Recognition:

Carla’s impactful career has garnered her scientific awards, recognition for extension projects, and a consistent presence in the Ranking of Scientists of the AD Scientific Index. Her cumulative impact factor of 0.745 in the last six years speaks volumes about her influence.

πŸ‘©β€πŸ« Professional Journey:

Boasting 24 years of professional experience, including 19 years as a professor, Carla is deeply involved in teaching, research, and extension at Unioeste. She’s a key player in leadership roles within the university, contributing significantly to Master’s, Doctorate, and Specialization Programs.

πŸ‘©β€πŸ”¬ Research Focus:

πŸ“ˆ Entrepreneurship Culture: In her seminal work with MT Dreher, “Cultura Empreendedora: Empreendedorismo Coletivo e Perfil Empreendedor” (REGE Revista de GestΓ£o, 2008), she explores the dynamics of entrepreneurial culture, emphasizing collective entrepreneurship and entrepreneurial profiles. This showcases her dedication to unraveling the intricacies of entrepreneurial ecosystems.

πŸ“‘ Secretariado Executivo no Brasil: Teaming up with ID Cielo and KR Wenningkamp in “Secretariado Executivo no Brasil: Quo Vadis?” (Revista de GestΓ£o e Secretariado, 2014), Carla addresses the trajectory of Executive Secretariat in Brazil. This demonstrates her multidisciplinary approach, connecting administrative functions with broader societal implications.

🌾 Female Participation in Agribusiness: Her collaborative work with ID Cielo and KR Wenningkamp in “A ParticipaΓ§Γ£o Feminina no AgronegΓ³cio: O Caso da Coopavel–Cooperativa Agroindustrial de Cascavel” (Revista Capital CientΓ­fico-EletrΓ΄nica, 2014) delves into gender dynamics in agribusiness, highlighting her commitment to issues of diversity and inclusion.

🌱 Organic Products Trade Policies: In collaboration with L Santos, Z Bidarra, and J Staduto, Carla contributes to “PolΓ­ticas PΓΊblicas para o ComΓ©rcio de Produtos OrgΓ’nicos no Brasil” (Revista de CiΓͺncias AgrΓ‘rias, 2017), underscoring her engagement with sustainability and policy aspects within agricultural systems.

🏞️ Governance in Regional Tourism: Her work with M Tomio in “GovernanΓ§a e AΓ§Γ΅es Coletivas no Turismo Regional: A ExperiΓͺncia dos Empreendedores da RegiΓ£o Oeste do ParanΓ‘” (Turismo-VisΓ£o e AΓ§Γ£o, 2014) showcases her interest in regional governance and collective actions, particularly in the context of tourism development.

Citations:

  • Total Citations: 582
  • Since 2019: 374 citations

πŸ“Š Scholarly Impact:

  • h-Index: 13
  • i10-Index: 20

These metrics underscore the widespread recognition and influence of her work in academic circles. With a commendable h-index of 13, indicating at least 13 of her papers have been cited at least 13 times each, and an i10-index of 20, reflecting the number of papers with at least 10 citations, Carla’s research stands as a cornerstone in her field.

Publications Top Notes:

 

ShivamΒ Yadav | Precision Agriculture | Best Researcher Award

MrΒ ShivamΒ Yadav:Β Precision Agriculture
Madan Mohan Malaviya University of Technology,Β India

Shivam Kumar Yadav is a skilled computer science professional currently pursuing a Master’s in Technology at Madan Mohan Malaviya University of Technology, with a remarkable 8.04 CGPA. His journey began with a Bachelor’s in Technology from the Institute of Technology and Management, where he earned a 6.75 CGPA. As a Graduate Researcher at AI & Drone Design Lab, MMMUT, Shivam is deeply involved in the research and development of machine learning and deep learning models. His responsibilities include integrating these models with IoT devices and deploying them on drones and cloud servers. Notably, he has led the AI team, working on real-world projects, publishing research papers, and collaborating with PhD researchers and industry experts.

Publication Profile:πŸŒŸπŸ‘¨β€πŸŽ“
πŸŽ“ Education:
  • Master of Technology in Computer Science and Engineering, MMMUT, 2021-2023, CGPA: 8.04
  • Bachelor of Technology in Computer Science and Engineering, ITM Gorakhpur, 2016-2020, CGPA: 6.75
πŸ’Ό Experience:
  • Graduate Researcher (Jan 2021 – Present)
    • AI & Drone Design Lab, MMMUT
    • Spearheading research in ML, DL, IoT integration with drones and cloud servers
    • Led the AI team, collaborated with Ph.D. researchers, and submitted research papers
  • Machine Learning Intern (July 2022 – Aug 2022)
    • Cognizant (Virtual Experience Program)
    • Conducted EDA, Data Modeling, and built predictive ML models for business insights
πŸš€ Projects:
  • Drone Based Object Detection and Segmentation Model for Smart Farming
    • Developed computer vision model for crop detection through drones
    • Sponsored by Ministry of Electronics and Information Technology, Govt. of India
  • Object Recognition and Scene Understanding Model for Self-Driving Cars
    • Created Semantic segmentation model for self-driving cars using deep learning technologies
  • Machine Learning Model for Soil Quality Analysis
    • Implemented IoT-based ML model for soil health analysis, predicting suitable crops
    • Deployed on AWS EC2 server with a user interface using Flask
πŸ”§ Technical Skills:
  • Languages/Frameworks: Python, TensorFlow, PyTorch, Flask, Java, HTML/CSS
  • Tools: Git, AWS, Sagemaker, Kaggle, Jupyter Lab, Matlab, VS Code, MPLAB, Linux
  • Technology: ML, DL, CNN, GAN, NLP, Data science pipeline, IoT, Drone Technology
πŸ“œ Certificates:
  • Deep Learning Specialization

Shivam Kumar Yadav is a tech enthusiast and researcher, with a knack for pushing boundaries in machine learning, computer vision, and IoT. From leading AI teams to contributing to innovative projects, Shivam thrives at the intersection of theory and practical application. His commitment to sustainable agriculture and smart technology solutions is evident in his impactful projects.

πŸ‡ Research Focus:

Shivam Kumar Yadav is a trailblazer in precision agriculture, specializing in multiclass weed identification through semantic segmentation. His research, published in Ecological Informatics, presents an automated approach using deep learning for enhanced agricultural precision. As a co-author, he contributed to the creation of the Multiclass Weeds Dataset for Image Segmentation, a valuable resource for advancing weed identification technology. Additionally, Shivam explores the synergy of Big Data and IoT, as evidenced by his paper “Exploring the Power of Big Data for IoT: A Comprehensive Review” presented at the 2023 International Conference on IoT, Communication, and Automation Technology. πŸšœπŸŒπŸ”

 

Publications Top Notes:πŸŒπŸ”¬