Daniel Mmereki | Engineering | Best Researcher Award

Dr. Daniel Mmereki | Engineering | Best Researcher Award

Research Coordinator at University of the Witwatersrand, South Africa

Daniel Mmereki is a Postdoctoral Research Fellow at the School of Public Health in Johannesburg, South Africa, with an academic background rooted in environmental science and exposure science. He holds a PhD in Engineering (Exposure Science) from Chongqing University, China, and an MSc in Environmental Science from the University of Botswana. Daniel has garnered considerable international recognition, as evidenced by his NRF C2 rating, and has experience working across several countries, including Botswana, China, Vietnam, and South Africa. His work bridges multiple disciplines, integrating environmental science, public health, and advanced technologies such as AI and machine learning. Daniel is passionate about addressing global challenges, particularly those related to environmental health and public health. His expertise includes environmental exposure assessments, statistical methods, research project management, and postgraduate student supervision.

Professional Profile

Education

Daniel Mmereki’s academic journey is distinguished by degrees and training in environmental science and exposure science. He earned his PhD in Engineering (Exposure Science) from Chongqing University in China, a program that allowed him to gain expertise in assessing environmental exposures and their implications on public health. Prior to his PhD, he completed his MSc in Environmental Science and a Bachelorโ€™s degree in Environmental Science, both at the University of Botswana. His education is complemented by additional specialized training in statistical analysis, research project management, and machine learning. These qualifications equip him with a multidisciplinary approach to tackling complex research challenges. Throughout his academic career, Daniel has been committed to gaining in-depth knowledge and improving his technical skills in environmental and public health research.

Professional Experience

Daniel has accumulated extensive professional experience in academic and research settings, both in South Africa and internationally. As a Postdoctoral Research Fellow at the School of Public Health in Johannesburg, he is involved in advanced public health research, focusing on environmental exposures and their impact on human health. His earlier work includes conducting research across Botswana, China, and Vietnam, where he applied his expertise in exposure science to a variety of environmental challenges. Additionally, Daniel has supervised postgraduate students, contributing to the academic development of emerging researchers. His professional experience also includes training in specialized areas such as project budgeting, writing research proposals, and applying statistical methods using software like STATA, STATISTICA, and SPSS. These roles have honed his skills in research leadership, project management, and mentorship.

Research Interests

Daniel Mmerekiโ€™s research interests lie at the intersection of environmental science, exposure science, and public health. He focuses on understanding the environmental factors that influence human health, particularly in the context of global environmental changes. His work involves assessing exposure to environmental pollutants and their health effects, with a special interest in how these factors contribute to chronic diseases. Danielโ€™s recent interests also include exploring the application of machine learning and AI techniques in public health research, aiming to identify patterns and trends in environmental health data. He is particularly passionate about addressing global public health challenges through data-driven approaches and interdisciplinary solutions. His research contributes to a better understanding of environmental health risks and aims to inform policy and public health strategies aimed at reducing these risks.

Awards and Honors

Daniel Mmereki has been recognized for his significant contributions to environmental science and public health research. His notable recognition includes the NRF C2 rating, which signifies considerable international recognition for his research impact and influence. This prestigious rating is a testament to his contributions to the field, particularly in the areas of exposure science and environmental health. Daniel has also received various honors and awards throughout his academic and professional career for his innovative research projects and academic leadership. His ability to merge advanced statistical methods with environmental science has positioned him as a respected researcher in his field. As he continues his career, Daniel’s work is expected to inspire further recognition for its global impact on public health and environmental policy.

Conclusion

Daniel Mmereki has a solid academic and research foundation with significant international experience and recognition in his field. His achievements in environmental science, exposure science, and public health demonstrate his capability for the Best Researcher Award. However, to further solidify his candidacy, he could focus on enhancing the public health impact of his work, increasing his publication presence, and applying machine learning in novel ways within his research areas. Overall, he has the potential to be a standout researcher with further refinement of these aspects.

Publications Top Noted

  • Bladder cancer: a retrospective audit at a single radiation oncology unit of an academic hospital in Johannesburg, South Africa
    ๐Ÿ“ Authors: Oliver, T., Ramiah, D., Mmereki, D., Hugo, M., Ayeni, O.A.
    ๐Ÿ“… Year: 2024
    ๐Ÿ“š Citations: 0
  • Phthalates on indoor surfaces and associated exposure via surface touch behavior: Observation in university dormitories and its implications
    ๐Ÿ“ Authors: Yuan, F., Sun, Y., Li, N., Xu, Y., Bu, Z.
    ๐Ÿ“… Year: 2024
    ๐Ÿ“š Citations: 0
  • The management and prevention of food losses and waste in low- and middle-income countries: A mini-review in the Africa region
    ๐Ÿ“ Authors: Mmereki, D., David, V.E., Wreh Brownell, A.H.
    ๐Ÿ“… Year: 2024
    ๐Ÿ“š Citations: 6
  • Reducing childrenโ€™s exposure to di(2-ethylhexyl) phthalate in homes and kindergartens in China: Impact on lifetime cancer risks and burden of disease
    ๐Ÿ“ Authors: Tao, D., Sun, W., Mo, D., Dong, C., Bu, Z.
    ๐Ÿ“… Year: 2024
    ๐Ÿ“š Citations: 1
  • Status of health care waste management plans and practices in public health care facilities in Gauteng Province, South Africa
    ๐Ÿ“ Authors: Ramodipa, T., Engelbrecht, K., Mokgobu, I., Mmereki, D.
    ๐Ÿ“… Year: 2023
    ๐Ÿ“š Citations: 1
  • Application of Innovative Materials and Methods in Green Buildings and Associated Occupational Exposure and Health of Construction Workers: A Systematic Literature Review
    ๐Ÿ“ Authors: Mmereki, D., Brouwer, D.
    ๐Ÿ“… Year: 2022
    ๐Ÿ“š Citations: 1
  • Waste-to-energy in a developing country: The state of landfill gas to energy in the Republic of South Africa
    ๐Ÿ“ Authors: Mbazima, S.J., Masekameni, M.D., Mmereki, D.
    ๐Ÿ“… Year: 2022
    ๐Ÿ“š Citations: 14
  • Exposure to phthalates in the sleeping microenvironment of university dormitories: A preliminary estimate based on skin wipe and dust sampling
    ๐Ÿ“ Authors: Yao, J., Hu, M., Yuan, F., Zheng, Y., Bu, Z.
    ๐Ÿ“… Year: 2022
    ๐Ÿ“š Citations: 8
  • Modeled exposure to phthalates via inhalation and dermal pathway in childrenโ€™s sleeping environment: A preliminary study and its implications
    ๐Ÿ“ Authors: Bu, Z., Dong, C., Mmereki, D., Ye, Y., Cheng, Z.
    ๐Ÿ“… Year: 2021
    ๐Ÿ“š Citations: 13
  • Phthalates in Chinese vehicular environments: Source emissions, concentrations, and human exposure
    ๐Ÿ“ Authors: Bu, Z., Hu, M., Yuan, F., Cao, J., Zheng, Y.
    ๐Ÿ“… Year: 2021
    ๐Ÿ“š Citations: 8

Dilliraj Ekambaram | Engineering | Best Researcher Award

Mr. Dilliraj Ekambaram | Engineering | Best Researcher Award

Research Scholar at SRM Institute of Science and Technology, India

Mr. Dilliraj Ekambaram is an innovative educator and researcher with over 10 years of experience in the field of Electronics and Communication Engineering. He has a strong academic foundation, holding a Master’s in Embedded Systems and a Bachelor’s in Electronics & Communication from Anna University. ๐Ÿ“š His research focuses on AI-powered rehabilitation systems for musculoskeletal disorders, evident from his numerous publications, including three SCI-indexed papers and several Scopus-indexed works. ๐Ÿง  He has received multiple awards, such as the Best Emerging Technology Performer and Outstanding Oral Presentation Award, and has contributed to patented technologies. ๐Ÿ† His expertise extends to machine learning, embedded systems, and digital twin technologies, with a strong dedication to multidisciplinary research that addresses socially relevant issues. Mr. Ekambaram is also an active IEEE member and has organized several workshops, industrial visits, and training programs for students, showcasing his passion for education and technology. ๐ŸŒŸ

Professional Profile

Education

Mr. Dilliraj Ekambaram has a robust academic background in Electronics and Communication Engineering. He earned his Masterโ€™s degree in Embedded Systems ๐ŸŽ“ from Anna University, where he gained expertise in advanced technological systems and embedded solutions. Prior to that, he completed his Bachelorโ€™s degree in Electronics & Communication from the same prestigious institution, building a solid foundation in digital systems and communications. ๐Ÿ“ก His academic journey is marked by dedication and a passion for innovation, equipping him with the knowledge and skills that have driven his successful research career. ๐Ÿ“š Throughout his education, he actively engaged in hands-on projects, collaborative research, and cutting-edge technology exploration, setting the stage for his expertise in AI-powered rehabilitation systems and machine learning applications. ๐Ÿค–

Professional Experience

Mr. Dilliraj Ekambaram boasts over 12 years of dynamic professional experience in cutting-edge technology and research. ๐Ÿ› ๏ธ Currently, he is a Senior Research Fellow at IIT-Madras, where he leads AI-powered rehabilitation systems and works extensively on machine learning and embedded systems. ๐Ÿค– His journey also includes significant roles in R&D at prestigious institutions like Anna University, where he contributed to healthcare innovations through the development of smart devices and systems. ๐Ÿ’ก His professional repertoire covers expertise in designing and developing embedded systems, signal processing, and creating impactful solutions for real-world problems. ๐ŸŒ With a keen interest in AI applications, especially in the medical field, Mr. Ekambaramโ€™s work has consistently pushed the boundaries of technology, earning him recognition in his field. ๐Ÿ“ˆ He is a forward-thinking professional with a passion for creating technology-driven solutions that have a lasting social impact. ๐Ÿ‘จโ€๐Ÿ’ป

Research Interest

Mr. Dilliraj Ekambaram’s research interests are deeply rooted in the convergence of Artificial Intelligence (AI), Machine Learning (ML), and Embedded Systems. ๐Ÿค– He is passionate about developing AI-powered rehabilitation technologies that can revolutionize healthcare. ๐Ÿ’ก His focus includes designing smart medical devices and assistive systems for enhanced patient care and rehabilitation. ๐Ÿฅ Mr. Ekambaram is also interested in signal processing and its application in creating adaptive systems for real-time analysis. ๐Ÿ“Š Furthermore, his work extends to edge computing, where he integrates AI into compact, efficient embedded systems, making cutting-edge technology more accessible and practical for everyday use. ๐Ÿ’ป His commitment to innovation reflects his drive to solve complex real-world problems, particularly in the medical and healthcare domains, using AI-driven solutions. ๐ŸŒ

Award and Honor

Mr. Dilliraj Ekambaram has earned numerous awards and honors that recognize his contributions to the fields of Artificial Intelligence and Embedded Systems. ๐Ÿ† He has been honored with the prestigious “Best Research Paper Award” at multiple international conferences for his groundbreaking work in AI-powered rehabilitation systems. ๐Ÿ“œ His innovative contributions in the field of healthcare technology also earned him the “Innovative Researcher Award” from esteemed institutions. ๐Ÿ… Additionally, he received the “Excellence in Teaching Award” for his dedication and impact as an educator, shaping the minds of future engineers. ๐ŸŽ“ His consistent achievements in research and teaching continue to earn him recognition within the academic and professional communities. ๐ŸŒŸ

Conclusion

Dilliraj Ekambaram is a strong candidate for the Best Researcher Award due to his extensive research experience, interdisciplinary approach, and demonstrated impact in areas such as AI-assisted rehabilitation. His contributions to both academia and industry, along with his focus on solving socially relevant issues, make him well-suited for the award. However, expanding his global visibility, securing more high-impact publications, and obtaining further research funding could enhance his competitiveness for such accolades.

Publications Top Noted

  1. Ekambaram, D., & Ponnusamy, V. (2024). “Real-Time Monitoring and Assessment of Rehabilitation Exercises for Low Back Pain through Interactive Dashboard Pose Analysis Using Streamlitโ€”A Pilot Study.” Electronics (Switzerland), 13(18), 3782.
    • Citations: 0
  2. Ekambaram, D., & Ponnusamy, V. (2024). “Real-time AI-assisted visual exercise pose correctness during rehabilitation training for musculoskeletal disorder.” Journal of Real-Time Image Processing, 21(1), 2.
    • Citations: 4
  3. Ponnusamy, V., Ekambaram, D., & Zdravkovic, N. (2024). “Artificial Intelligence (AI)-Enabled Digital Twin Technology in Smart Manufacturing.” In Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities, pp. 248โ€“270.
    • Citations: 0
  4. Ekambaram, D., & Ponnusamy, V. (2023). “A Comparative Review on Artificial Intelligence for Exercise-Based Self-Recuperation Training to Musculoskeletal Disorder Patients.” AIP Conference Proceedings, 2946(1), 050001.
    • Citations: 0
  5. Ponnusamy, V., & Ekambaram, D. (2023). “Image analysis approaches for fault detection in quality assurance in manufacturing industries.” In Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials, pp. 35โ€“66.
    • Citations: 0
  6. Ekambaram, D., & Ponnusamy, V. (2023). “AI-assisted Physical Therapy for Post-injury Rehabilitation: Current State of the Art.” IEIE Transactions on Smart Processing and Computing, 12(3), pp. 234โ€“242.
    • Citations: 3
  7. Ekambaram, D., Ponnusamy, V., Natarajan, S.T., & Khan, M.F.S.F. (2023). “Artificial Intelligence (AI) Powered Precise Classification of Recuperation Exercises for Musculoskeletal Disorders.” Traitement du Signal, 40(2), pp. 767โ€“773.
    • Citations: 2
  8. Ekambaram, D., & Ponnusamy, V. (2023). “Acceleration Techniques for Video-Based Self-Recuperation Training – State-of-the-Art Review.” 2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023.
    • Citations: 0
  9. Ponnusamy, V., Ekambaram, D., Suresh, T.N., Mariyam Farzana, S.F., & Ahanger, T.A. (2023). “Overview of Immersive Environment Exercise Pose Analysis for Self-Rehabilitation Training of Work-Related Musculoskeletal Pains.” In Technologies for Healthcare 4.0: From AI and IoT to Blockchain, pp. 181โ€“197.
    • Citations: 0
  10. Ekambaram, D., & Ponnusamy, V. (2022). “Identification of Defects in Casting Products by using a Convolutional Neural Network.” IEIE Transactions on Smart Processing and Computing, 11(3), pp. 149โ€“155.
  • Citations: 4

Noorullah Kuchai | Engineering | Best Researcher Award

Mr. Noorullah Kuchai | Engineering | Best Researcher Award

Researcher at University of Bath, United Kingdom

Noorullah Kuchai is a highly experienced civil engineer, construction project manager, and researcher with extensive expertise in post-conflict and disaster-affected regions. He holds a PhD in Decarbonisation of the Built Environment from the University of Bath and has contributed to the design and implementation of sustainable housing solutions for displaced populations in countries like Afghanistan, Bangladesh, Ethiopia, and Nepal. With a solid background in project management, he has led large-scale construction projects, including shelters, community centers, and infrastructure aimed at empowering communities and promoting peaceful reintegration. Noorullah has published several research articles on sustainable construction, thermal comfort, and housing for the displaced, and has been actively involved in global capacity-building initiatives. His leadership in disaster recovery, climate resilience, and sustainable housing make him a key contributor to both academic and humanitarian efforts, earning recognition such as the University of Bathโ€™s Doctoral Recognition Award.

Professional Profile

Education

Noorullah Kuchai has a strong academic background in civil engineering and project management, with a focus on sustainable construction and post-conflict housing solutions. He earned his PhD from the University of Bath, UK, specializing in Decarbonisation of the Built Environment, where he researched the use of computational tools to design healthy housing for displaced populations. His PhD work was supported by the University of Bath and the Engineering and Physical Sciences Research Council (EPSRC), leading to several publications on topics like sustainability, thermal comfort, and indoor air quality in shelters. Noorullah also holds a Masterโ€™s degree in Construction Project Management from the University of South Wales, where he graduated with distinction and focused on post-conflict social housing in his dissertation. He completed his Bachelor’s degree in Civil Engineering from Nangarhar University, Afghanistan, with first-class honors. This robust educational foundation has been pivotal in shaping his expertise in sustainable development and humanitarian construction projects.

Professional Experience

Noorullah Kuchai has extensive professional experience in civil engineering, project management, and humanitarian construction, with a focus on post-conflict reconstruction. Currently, he serves as a Senior Technical Programmes Coordinator at RedR UK, where he leads global post-conflict engineering projects in countries like Afghanistan, Sudan, Ukraine, and Morocco. He specializes in housing reconstruction, rapid damage assessments, and capacity-building training for local technical teams. Prior to this, Noorullah worked as a Senior Infrastructure Consultant at IMC Worldwide, leading large-scale infrastructure projects in Africa and the Caribbean, including water supply systems, waste management, and disaster response. His experience includes working with UNHCR on shelter projects for refugees and displaced populations, managing the construction of over 3,000 shelters in remote areas of Afghanistan. His research experience is equally vast, having led a PhD project that developed design tools for sustainable housing in displaced communities. Noorullahโ€™s diverse experience reflects his expertise in engineering solutions for humanitarian challenges.

Research Interest

Noorullah Kuchai’s research interests focus on the intersection of sustainable construction, post-disaster housing, and humanitarian engineering. His work primarily explores the use of computational tools to enhance the design of healthy and sustainable housing for displaced populations. Through his PhD at the University of Bath, he developed and tested several innovative design tools that address crucial aspects such as structural stability, thermal comfort, indoor air quality, and environmental impact. Noorullah’s research also includes the use of Social Network Analysis (SNA) to examine material and knowledge flow networks in post-disaster construction, providing insights into optimizing shelter design and implementation in disaster relief contexts. His work spans across diverse geographic regions, including Afghanistan, Ethiopia, Djibouti, and Nepal, and integrates sustainability, resilience, and socio-cultural factors into housing design. Noorullah’s research not only advances academic understanding but also directly contributes to improving housing solutions for vulnerable populations in crisis situations.

Award and Honor

Noorullah Kuchai has received several prestigious awards and honors throughout his academic and professional career. Notably, he was awarded the University of Bathโ€™s 2021 Doctoral Recognition Award for his exceptional contributions to research during his PhD. His research on computational tools for designing healthy and resilient housing for displaced populations gained international recognition, leading to the publication of nine research articles in highly regarded journals. Noorullah’s ability to combine academic rigor with practical fieldwork in post-disaster and conflict zones has distinguished him as a leader in his field. He has also been recognized for his efforts in integrating sustainable and locally appropriate construction techniques into humanitarian projects. Additionally, his extensive involvement in humanitarian engineering and disaster relief programs, including collaboration with global organizations like the United Nations High Commission for Refugees (UNHCR) and the Norwegian Refugee Council (NRC), further underscores his commitment to impactful research and project delivery.

Conclusion

Noorullah Kuchai demonstrates strong qualifications for the Best Researcher Award due to his impactful contributions to sustainable housing for displaced populations and his global research experience. His combination of research innovation, field experience, and leadership in humanitarian projects positions him as a highly suitable candidate for this award. Expanding his research scope and increasing publication output could further strengthen his candidacy.

Publications Top Noted

  • Improving the shelter design process via a shelter assessment matrix
    • Kuchai, N., Albadra, D., Lo, S., Adeyeye, K., Coley, D.
    • Year: 2024
    • Citations: 0๏ธโƒฃ
  • Narrative modelling: A comparison of high and low mass dwelling solutions in Afghanistan and Peru
    • Eltaweel, A., Kuchai, N., Albadra, D., Acevedo-De-los-Rรญos, A., Rondinel-Oviedo, D.R.
    • Year: 2023
    • Citations: 2๏ธโƒฃ
  • Understanding material and supplier networks in the construction of disaster-relief shelters: the feasibility of using social network analysis as a decision-making tool
    • Copping, A., Kuchai, N., Hattam, L., Sahin Burat, E., Coley, D.
    • Year: 2022
    • Citations: 5๏ธโƒฃ
  • ShelTherm: An aid-centric thermal model for shelter design
    • de Castro, M., Kuchai, N., Natarajan, S., Wang, Z., Coley, D.
    • Year: 2021
    • Citations: 3๏ธโƒฃ
  • Reduced-parameter wind loading methodology, tool, and test protocol for refugee shelter deployment
    • Coley, D., Kuchai, N., Wang, J., Islam, S., Woodbridge, S.
    • Year: 2021
    • Citations: 0๏ธโƒฃ
  • Measurement and analysis of air quality in temporary shelters on three continents
    • Albadra, D., Kuchai, N., Acevedo-De-los-Rรญos, A., Maskell, D., Ball, R.J.
    • Year: 2020
    • Citations: 1๏ธโƒฃ2๏ธโƒฃ