Veronica Ngunzi | Engineering | Best Researcher Award

Ms. Veronica Ngunzi | Engineering | Best Researcher Award

Tutorial Fellow at Kenyatta University, Kenya

Veronica Kavila Ngunzi is an experienced professional and educator with over a decade of expertise in renewable energy systems, energy efficiency, and program management. She has an in-depth understanding of Kenya’s power sector, including energy planning, socio-economic data analysis, and the role of development finance in advancing clean energy access. Her work focuses on sustainable energy solutions for critical sectors such as healthcare and agriculture, integrating technical expertise with community empowerment initiatives. She is skilled in energy auditing, hybrid systems design, and capacity-building programs, making significant contributions to the transition to clean energy in Kenya and beyond.

Publication ProfileΒ 

Scopus

Orcid

Educational Background πŸŽ“

  • Ph.D. in Renewable Energy Technology (Ongoing) – Kenyatta University, Nairobi, Kenya (2021 – Present)
  • Ph.D. in Agricultural Processing Engineering (Ongoing) – Jomo Kenyatta University of Agriculture and Technology (2020 – Present)
  • M.Sc. in Energy Management – University of Nairobi (2015)
  • B.Sc. in Agricultural Engineering (Double Degree, Second Class Upper Division) – Jomo Kenyatta University of Agriculture and Technology (2018)
  • Postgraduate Diploma in Project Management (Upper Credit) – Kenya Institute of Management (2012)
  • B.Sc. in Biomechanical and Processing Engineering (Second Class Upper Division) – Jomo Kenyatta University of Agriculture and Technology (2009)

Professional Experience πŸ’Ό

Academic Roles

  • Tutorial Fellow, Kenyatta University, Department of Energy Technology (2020–Present)
    • Teaching and supervising courses in Energy Management, Thermodynamics, and Project Management.
    • Leading research on renewable energy solutions for healthcare and community-focused applications.
    • Guiding students on projects related to Kenya’s energy sector.

Research & Consulting

  • Research Assistant, Free Appropriate Sustainability Technology (FAST) Research Group, Western University Canada (2023–2024)

    • Conducted research on hybrid renewable energy systems for industrial applications.
    • Collaborated with global teams to develop scalable, sustainable clean energy solutions.
  • Energy Consultant (Freelance) – Kenya (2015–2023)

    • Conducted energy audits for industrial and agricultural facilities.
    • Designed hybrid renewable energy systems for critical sectors.
    • Engaged stakeholders to align energy solutions with national planning goals.

Leadership & Advisory Roles

  • Mentor, Women in Energy Empowerment, Accelerating Women’s Empowerment in Energy Program (2024 – Ongoing)

    • Mentoring women in STEM and renewable energy careers.
    • Conducting workshops to promote gender equity in the energy sector.
  • Technical Advisor & Project Team Leader, Milken-Motsepe Prize in Green Energy (2023)

    • Led the implementation of a hybrid solar PV and wind energy system with battery storage.
    • Achieved semifinalist recognition for innovative clean energy solutions.
  • Project Lead, Strathmore Energy Research Centre (SERC) & GIZ (2015–2017)

    • Led a bioenergy analysis project for 30 tea factories, identifying energy-saving opportunities.
  • Trainer, Ministry of Energy Kenya & UNDP (2017)

    • Developed and implemented a solar water heating training manual for Kenyan industries.
  • Researcher, Ministry of Higher Education Science & Technology (2012–2016)

    • Conducted research on biogas resource assessment and purification for household applications.

Research Interests πŸ”¬

  • Renewable energy systems (solar PV, biogas, hybrid systems)
  • Energy efficiency and sector planning
  • Sustainable energy solutions for healthcare and agriculture
  • Socio-economic impacts of clean energy adoption
  • Gender and community empowerment in energy access

Awards and HonorsπŸ†βœ¨

  • Semifinalist, Milken-Motsepe Prize in Green Energy (2023)
  • UNESCO Mentorship Recognition, Accelerating Women’s Empowerment in Energy (2024)
  • Research Grant Recipient, Free Appropriate Sustainability Technology (FAST) Research Group

Conclusion🌟

Veronica Kavila Ngunzi is a dedicated researcher, educator, and renewable energy specialist committed to advancing sustainable energy solutions in Kenya and beyond. With expertise spanning energy policy, hybrid systems, and socio-economic data analysis, she has played a pivotal role in shaping inclusive and impactful energy transitions. Through research, mentorship, and technical innovation, she continues to drive progress in clean energy accessibility and gender equity in the sector.

Publications πŸ“š

πŸ“„ Optimization of economics of biomass fuel mix for boilers in tea processing through response surface methodology
πŸ“š Heliyon (2024-12) | πŸ›οΈ Journal article
πŸ”— DOI: 10.1016/j.heliyon.2024.e40875
✍️ Contributors: Veronica K. Ngunzi, Christopher L. Kanali, Gareth M. Kituu, Erick K. Ronoh


πŸ“„ Modeling, simulation and performance evaluation of a PVT system for the Kenyan manufacturing sector
πŸ“š Heliyon (2023-08) | πŸ›οΈ Journal article
πŸ”— DOI: 10.1016/j.heliyon.2023.e18823
✍️ Contributors: Veronica Ngunzi, Francis Njoka, Robert Kinyua


πŸ“„ Analysis of Energy Cost Savings by Substituting Heavy Fuel Oil with Alternative Fuel for a Pozzolana Dryer: Case Study of Bamburi Cement
πŸ“š American Journal of Energy Engineering (2015) | πŸ›οΈ Journal article
πŸ”— DOI: 10.11648/j.ajee.20150306.13
πŸ“– ISSN: 2329-1648


Rajesh Singh | Engineering | Best Researcher Award

Prof. Dr. Rajesh Singh | Engineering | Best Researcher Award

Professor at Uttaranchal University, India

Rajesh Singh, Ph.D., is an accomplished academician and researcher with over 20 years of experience in engineering and innovation. He currently serves as the Director of Research & Innovation at Uttaranchal University, as well as the Head of Innovation & Entrepreneurship at Lovely Professional University and Head of the Robotics Research Centre at the University of Petroleum & Energy Studies. Dr. Singh has been instrumental in driving various research and innovation initiatives, with notable accomplishments in the fields of Wireless Sensor Networks, Embedded Systems, Robotics, Artificial Intelligence, Machine Learning, Automation, IoT, and Raspberry Pi.

Publication Profile :Β 

Scopus

Educational Background πŸŽ“

  • Ph.D. in Electronics Engineering from the University of Petroleum and Energy Studies, Dehradun (2016).
  • M.Tech in Electronics & Communication Engineering from Rajiv Gandhi Technical University (2009).
  • B.E. in Electronics & Communication Engineering from Dr. B.R Ambedkar University, Agra (2002).

Professional Experience πŸ’Ό

Held various positions in academia, including Associate Professor, Assistant Professor, and Director, with a focus on innovation, research, and entrepreneurship across multiple institutions, including Uttaranchal University, Lovely Professional University, and University of Petroleum & Energy Studies.

Research Interests πŸ”¬

  • Wireless Sensor Networks
  • Embedded Systems
  • Robotics
  • Artificial Intelligence
  • Machine Learning
  • Internet of Things (IoT)
  • Automation

Awards & Recognition

  • Award of Excellence for Research and Innovation in Science, conferred by the State Minister of Uttarakhand, India
  • Recognized for significant contributions to innovation, technology, and academic excellence both nationally and internationally.

Publications πŸ“š

  • Title: Lumpy skin disease virus identification using image-based and deep learning approach
  • Authors: Sharma, S., Joshi, K., Singh, R., Sharma, G., Kumar, G.
  • Conference: Computational Methods in Science and Technology – Proceedings of the 4th International Conference on Computational Methods in Science and Technology, ICCMST 2024
  • Year: 2025
  • Volume: 2
  • Pages: 30–35

  • Title: Leveraging wireless technology and IoT in developing a smart judiciary system with smart dust sensors
  • Authors: Vaish, K., Sharma, M., Kathuria, S., Akram, S.V., Malik, P.K.
  • Book: Intelligent Networks: Techniques, and Applications
  • Year: 2024
  • Pages: 129–151

  • Title: Design of an iterative method for disease prediction in finger millet leaves using graph networks, dyna networks, autoencoders, and recurrent neural networks
  • Authors: Tiwari, S., Gehlot, A., Singh, R., Twala, B., Priyadarshi, N.
  • Journal: Results in Engineering
  • Year: 2024
  • Volume: 24
  • Article ID: 103301

  • Title: Vision-based approach for human motion detection and smart appliance control
  • Authors: Swami, S., Singh, R., Gehlot, A., Kumar, D., Shah, S.K.
  • Journal: IAES International Journal of Robotics and Automation
  • Year: 2024
  • Volume: 13(4)
  • Pages: 445–451

  • Title: Various computational methods for highway health monitoring in terms of detection of black ice: a sustainable approach in Indian context
  • Authors: Kumar, V., Singh, R., Gehlot, A., Priyadarshi, N., Twala, B.
  • Journal: Discover Sustainability
  • Year: 2024
  • Volume: 5(1)
  • Article ID: 245

  • Title: The Image Classification Method for Eddy Current Inspection of Titanium Alloy Plate Based on Parallel Sparse Filtering and Deep Forest
  • Authors: Yidan, Z., Zou, H., Li, Z., Singh, R., Abbas, M.
  • Journal: Journal of Nondestructive Evaluation
  • Year: 2024
  • Volume: 43(4)
  • Article ID: 103

  • Title: Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence
  • Authors: Chauhan, A.S., Singh, R., Priyadarshi, N., Suthar, S., Swami, S.
  • Journal: Discover Artificial Intelligence
  • Year: 2024
  • Volume: 4(1)
  • Article ID: 58

  • Title: Integrating industry 4.0 technologies for the administration of courts and justice dispensationβ€”a systematic review
  • Authors: Bhatt, H., Bahuguna, R., Swami, S., Priyadarshi, N., Twala, B.
  • Journal: Humanities and Social Sciences Communications
  • Year: 2024
  • Volume: 11(1)
  • Article ID: 1076

  • Title: Use of IoT sensor devices for efficient management of healthcare systems: a review
  • Authors: Gopichand, G., Sarath, T., Dumka, A., Priyadarshi, N., Twala, B.
  • Journal: Discover Internet of Things
  • Year: 2024
  • Volume: 4(1)
  • Article ID: 8

  • Title: Detailed-based dictionary learning for low-light image enhancement using camera response model for industrial applications
  • Authors: Goyal, B., Dogra, A., Jalamneh, A., Singh, R., Jyoti Saikia, M.
  • Journal: Scientific Reports
  • Year: 2024
  • Volume: 14(1)
  • Article ID: 17122