Sulyman Olakunle Salawu | Nanotechnology | Outstanding Scientist Award

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Dr. Sulyman Olakunle Salawu | Nanotechnology | Outstanding Scientist Award

Lecturer and researcher, Bowen University, Nigeria

Dr. Sulyman Olakunle Salawu is an esteemed Applied Mathematician from Nigeria, specializing in Computational Fluid Mechanics, Reactive Combustion Fluid, and Mathematical Modelling & Applications. He is a prominent researcher and academic, currently contributing to the Department of Mathematics at Bowen University, Iwo, Nigeria. Dr. Salawu is recognized for his extensive research and numerous publications in high-impact journals, earning him accolades and recognition from various prestigious institutions worldwide. 🌍📘

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Education

🎓 Ph.D. in Applied Mathematics, University of Ilorin, Ilorin, Nigeria (2017). Thesis: Heat and Mass Transfer of Inclined Magnetic Field Pressure-driven Flow past a Permeable Surface. Supervisor: Dr. Moses S. Dada. 🎓 M.Sc. in Applied Mathematics, University of Lagos, Akoka, Nigeria (2012). Dissertation: Analysis of Nonlinear Discharged Pollutant into a Channel Flow. Supervisor: Dr. Olugbenga J. Fenuga. B.Tech. in Pure & Applied Mathematics, Ladoke Akintola University of Technology, Ogbomoso, Nigeria (2008). Project: Nonlinear Thermodynamic Analysis of Reactive Fluid in a Channel. Supervisor: Dr. Olusegun O. Ajala

Experience

🧑‍🏫 Dr. Salawu has held significant academic and research positions, most notably at Bowen University, Iwo, Nigeria. His contributions to the field of Applied Mathematics are profound, encompassing computational and theoretical advancements. His research visits and collaborations, such as with the International Centre for Theoretical Physics in Italy, highlight his international recognition and collaborative efforts in advancing mathematical sciences. 🌐🔬

Research Interests

🔍 Dr. Salawu’s research interests are diverse and impactful, focusing on Computational Fluid Mechanics, Reactive Combustion Fluid, and Mathematical Modelling & Applications. His work aims to solve complex problems related to heat and mass transfer, fluid dynamics, and the application of artificial intelligence in biostatistical analysis. His projects often incorporate cutting-edge techniques and interdisciplinary approaches to address real-world challenges. 💡🌊

Awards 

🏆 Dr. Salawu has received numerous awards and recognitions, reflecting his outstanding contributions to the field of mathematics. Notable honors include the AD Scientific Index Ranking for Scientists 2024, Bowen University Highest Published Award for the 2022/2023 academic session, and the Elsevier Recognition Award for publishing multiple open-access articles. He is also listed among the Top 2 percent of world scientists by Stanford University, USA. 🌟🎖️

Publications

Thermal case exploration of electromagnetic radiative tri-hybrid nanofluid flow in Bi-directional stretching device in absorbent medium: SQLM analysis – Case Studies in Thermal Engineering, 60, 104734 (2024) [Cited by: 15] Case Studies in Thermal Engineering

Heat radiation absorption and irreversibility of electromagnetic Williamson hybridized Al2O3-CoFe2O4/H2O nanofluid: A concentrated power generation – Journal of the Indian Chemical Society, 101, 101225 (2024) [Cited by: 10] Journal of the Indian Chemical Society

Computational analysis of transient thermal diffusion and propagation of chemically reactive magneto-nanofluid, Brinkman-type flow past an oscillating absorbent plate – Partial Differential Equations in Applied Mathematics, 11, 100761 (2024) [Cited by: 8] Partial Differential Equations in Applied Mathematics

Heat transfer analysis of thermal radiative over a stretching curved surface using molybdenum disulfide and silicon dioxide composite material under the influence of solar radiation – Multidiscipline Modeling in Materials and Structures, 24, 240038 (2024) [Cited by: 7] Multidiscipline Modeling in Materials and Structures

Numerical study electroconductive non-Newtonian hybrid nanofluid flow from a stretching rotating disk with a Cattaneo-Christov heat flux model – Journal of Process Mechanical Engineering, 24, 258019 (2024) [Cited by: 5] Journal of Process Mechanical Engineering

Najmeh Zamani | Engineering | Best Researcher Award

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Dr. Najmeh Zamani | Engineering | Best Researcher Award 

Postdoc researcher, Concordia university, Canada

🌟 Najmeh Zamani (b. 29th July 1989) is a dedicated researcher in the field of electrical and computer engineering. She is currently a Postdoctoral Researcher at Concordia University, Canada, with a strong academic background from Isfahan University of Technology, Iran. Najmeh’s expertise spans control systems, nonlinear multi-agent systems, and deep learning applications. Married and proficient in both Persian and English, she is recognized for her significant contributions to her field.

 

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Education

🎓 Najmeh Zamani has an impressive academic record, starting with a Bachelor’s degree in Electrical Engineering from Isfahan University (2007-2011), where she ranked 1st. She continued at the same university for her Master’s degree (2011-2014), ranking 3rd, and then pursued a Ph.D. in Electrical Engineering at Isfahan University of Technology (2015-2021), achieving a GPA of 19/20. Her Ph.D. dissertation focused on the “Consensus of Nonlinear Multi-Agent Systems with Time-Delays and Actuator Faults.” Najmeh also completed postdoctoral research at Concordia University, Canada, in 2023.

Experience

💼 Najmeh Zamani has a robust professional background, including roles as a researcher at Isfahan University of Technology, an R&D researcher at Control Farayand Pasargad Company, and an electronic designer at Sirco Company. Her experience spans industrial projects like COVID-19 pandemic prediction models and power electronic boost converter design. Najmeh has also served as a visiting professor and teaching assistant in various institutions, sharing her expertise in control systems and electronics.

Research Interests

🔬 Najmeh Zamani‘s research interests are diverse and cutting-edge. They include distributed control systems and multi-agent systems, adaptive control of nonlinear systems with time-delays and faults, fault estimation and control theory, and control of distributed applications like mobile sensors. She is also passionate about deep learning, probabilistic graphical models (PGM), data-driven control, reinforcement learning, and data analysis.

Awards

🏆 Najmeh Zamani has received several accolades throughout her academic journey. She was ranked 1st among all graduated students in Electrical and Computer Engineering at Isfahan University in 2011. She was also recognized as an outstanding B.Sc. and M.Sc. student from 2007 to 2014. Notably, she received admission offers for both her graduate and doctoral studies at Isfahan University of Technology without needing to take the National Entrance Exam for Graduate Schools.

Publications

N. Zamani, M. Ataei, M. Niroomand, “Analysis and Control of Chaotic Behavior in Boost Converter by Ramp Compensation Based on Lyapunov Exponents Assignment: Theoretical and Experimental Investigation”, Chaos, Solitons and Fractals, 2015, cited by 20 articles. Link.

N. Zamani, J. Askari, M. Kamali, A. Aghdam, “Distributed adaptive consensus tracking control for non-linear multi-agent systems with time-varying delays”, IET Control Theory & Applications, 2020, cited by 15 articles. Link.

H. Kalantari, M. Mojiri, S. Dubljevic, N. Zamani, “Fast l1-MPC Based on Sensitivity Analysis Strategy”, IET Control Theory & Applications, 2020, cited by 10 articles. Link.

N. Zamani, J. Askari, M. Kamali, H. Kalantari, A. Aghdam, “Adaptive Tracking Control for Nonlinear Multi-Agent Systems with Stuck Failures and Unknown Control Directions”, Journal of the Franklin Institute, 2024. Link.

H. Kalantari, M. Mojiri, Najmeh Zamani, “Urban Traffic Control By Fast l1 Model Predictive Control Based on Sensitivity Analysis”, IET Control Theory & Applications, 2024. Link.

Quan Yuan | Engineering | Best Researcher Award

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Prof. Quan Yuan | Engineering | Best Researcher Award

Professor, School of Vehicle and Mobility, Tsinghua University, China

Dr. Quan Yuan is a distinguished professor at the School of Vehicle and Mobility, Tsinghua University. With a Ph.D. in vehicle engineering earned in 1997, Dr. Yuan has made significant contributions to the fields of intelligent vehicles, human factors engineering, traffic safety, and accident analysis. Over his illustrious career, he has led more than 40 research projects, published over 100 papers, and analyzed over 8,000 traffic crashes in Beijing. His research has provided valuable insights and innovations to improve the safety and functionality of intelligent transportation systems.

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🎓 Education:

Dr. Quan Yuan received his Ph.D. in Vehicle Engineering in 1997. He further honed his expertise as a postdoctoral research fellow at Tsinghua University from 2000 to 2003. Additionally, he broadened his academic horizon as a visiting scholar at the University of Washington from 2013 to 2014.

💼 Experience:

Dr. Yuan’s professional journey is marked by his role as a professor at Tsinghua University, where he has been instrumental in advancing research in intelligent vehicles and traffic safety. He has completed over 40 research projects and published more than 100 papers. His editorial appointments include roles such as the editorial director for the Journal of Intelligent & Connected Vehicles and associate editor for Digital Transportation and Information.

🔬 Research Interests:

Dr. Yuan’s research interests are centered on intelligent vehicles, traffic safety, and human factors engineering. His work focuses on combining intelligent vehicle technology with traffic safety to develop testing scenarios that enhance vehicle safety. He has also proposed innovative solutions such as a visual and infrared fusion perception recognition method to improve safety in adverse weather conditions and address traffic safety issues in pastoral areas.

🏆 Awards:

Dr. Quan Yuan has received numerous accolades for his contributions to the field of vehicle engineering and traffic safety. He is a recognized senior member of SAE-China and an esteemed member of IEEE. His work has significantly influenced the development and safety of intelligent transportation systems.

Publications 

Paper on Intelligent Vehicle Technology
Study on Traffic Safety and Accident Analysis
Research on Human Factors Engineering in Vehicle Design
Innovations in Traffic Crash Analysis
Book on Vehicle Engineering and Safety

HEDAYATULLAH EHSAN | Nursing | Best Researcher Award

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Assist Prof Dr. HEDAYATULLAH EHSAN | Nursing | Best Researcher Award

Public Health Figure, Ghalib University, Afghanistan

Dr. Hedayatullah Ehsan is a distinguished dental professional and educator with a comprehensive background in both dentistry and public health. He currently serves as a University Lecturer at Ghalib University, where he imparts knowledge on Oral Medicine and Research Methodology while heading the Research Committee. Dr. Ehsan’s contributions to the field of dentistry and public health are underscored by his active roles in various research projects and his leadership in community health initiatives.

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Education

🎓 Dr. Hedayatullah Ehsan completed his high school education at Omid Afghan Turk School, graduating in 2016 with a strong focus on sciences. He then pursued a Doctor of Dental Medicine (DMD) degree at Kabul University of Medical Sciences, achieving a GPA of 3.46/4.0. His academic excellence is further demonstrated by his impressive TOEFL iBT score of 108.

Experience

🧑‍🏫 Dr. Ehsan has accumulated valuable experience in both academic and professional settings. He began his career as a Family Planning Counselor at the Afghan Family Guidance Association (2019-2020). He later joined Peace Educational and Social Development Organization as a Research Monitor & Evaluator (2021-2023). Since March 2023, he has been a full-time University Lecturer at Ghalib University, where he also leads the Research Committee.

Research Interests

🔬 Dr. Ehsan’s research interests lie in the fields of public health, epidemiology, and oral health. His work encompasses a range of topics, including systemic diseases among dental patients, periodontal health, and the epidemiology of infectious diseases such as pulmonary TB and Crimean-Congo Hemorrhagic Fever.

Awards

🏆 Dr. Ehsan has received several prestigious awards and scholarships, including the Graduate Merit Award from American University in Washington, DC, valued at $25,710, and the UAL International Postgraduate Scholarship worth £7,000 from the University of The Arts London. He also secured a scholarship from Queen’s University Belfast and has been recognized with multiple certificates of merit and excellence throughout his academic and professional career.

Publications

A Systemic Review on Pulmonary TB Burden and Associated Factors among Immigrants in the UK – Published in 2023.

Afghanistan’s Tick-Borne Crimean-Congo Hemorrhagic Fever Epidemiology – Published in 2022.

Prevalence of Dental Malocclusion and its Gender Distribution Among Dental Students at Kabul University of Medical Sciences – Published in 2022.

The Prevalence and Significance of Fissured Tongue in Kabul City Among Dental Patients Video Abstract – Published in 2022.

Prevalence of Systemic Diseases Among Dental Patients In Medenta Oral & Dental Care, Kabul – Published in 2022.

Factors Influencing Marginal Bone Loss around Dental Implants: A Systemic Review – Published in 2021.

Periodontal Status in Smokers and Nonsmokers: A Case-Control Study – Published in 2021.

Oral Health Knowledge, Attitude, and Behavior among Health Professions Students at Kabul University of Medical Sciences – Published in 2020.

Omar Soufi | Artificial Intelligence | Best Researcher Award

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Dr. Omar Soufi | Artificial Intelligence | Best Researcher Award

Doctorate, Mohammed V University of Rabat Mohammadia School of Engineering, Morocco

👨‍💼 Dr. Omar Soufi is a distinguished Computer Science Engineer specializing in Artificial Intelligence, Data Science, Remote Sensing, and Geographic Information Systems (GIS). With a robust background in data analysis and decision-support systems, Dr. Soufi excels in promoting organizational advancements and enhancing strategic performance through well-planned recommendations. His proactive and industrious approach ensures the achievement of objectives by leveraging data-driven insights.

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ORCID

Education

🎓 Dr. Omar Soufi earned his Ph.D. in Computer Science Engineering with a focus on Artificial Intelligence from EMI Rabat in 2023, completing his doctoral research with the AMIPS/E3S team. He also holds a degree in Engineering from Polytechnique Grenoble, ENSIMAG, and EMI Rabat, specializing in Information Systems Engineering and Software Quality Engineering, respectively. His foundational studies include a Diploma and a Bachelor’s degree in Mechanical Engineering from ARM Merkèns.

Experience

💼 Dr. Soufi’s professional journey includes notable roles such as Project Manager in the IT Department, Team Leader at the Decision Support Center, Head of the BI & Decision Tools Department, Head of the Geomatics & Decision Tools Division, and AI Mission Manager. His expertise spans numerous projects in artificial intelligence and data science, including the development of national geospatial platforms, disaster risk management systems, and SaaS solutions for real estate asset management and financial risk analysis.

Research Interests

🔍 Dr. Soufi’s research focuses on applying deep learning techniques to satellite image super-resolution and spacecraft attitude control. His interests extend to big data architecture, distributed systems, and geospatial data analysis, aiming to enhance the accessibility and quality of high-resolution satellite imagery.

Awards

🏆 Dr. Soufi has been recognized for his contributions to artificial intelligence and remote sensing. He has received certifications in various professional and personal development areas, including PMO, coaching, and personal development, further solidifying his expertise and commitment to excellence in his field.

Publications

📄 Study of deep learning-based models for single image super-resolution. Soufi, O., Belouadha, F.Z. (2022). Revue d’Intelligence Artificielle, Vol. 36, No. 6, pp. 939-952. https://doi.org/10.18280/ria.360616

📄 FSRSI: New deep learning-based approach for super-resolution of multispectral satellite images. Soufi, O., Belouadha, F.Z. (2023). Ingénierie des Systèmes d’Information, Vol. 28, No. 1, pp. 113-132. https://doi.org/10.18280/isi.280112

📄 Deep learning technique for image satellite processing. O. Soufi and F.Z- Belouadha. Intell Methods Eng Sci, vol. 2, no. 1, pp. 27–34, Mar. 2023.

📄 Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach. O. Soufi and F.Z- Belouadha. Journal of Environmental Treatment Techniques, 11(2), 44-49, 2023.

📄 An intelligent deep learning approach to spacecraft attitude control: the case of satellites. O. Soufi and FZ.- Belouadha. (2023). (Under Review)

Maria Achary | Computer Science | Best Researcher Award

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Mrs. Maria Achary | Computer Science | Best Researcher Award

Assistant Professor, University of Mumbai, India

👩‍🏫 Maria Achary is an accomplished academician and entrepreneur with over 10 years of experience in teaching computer science and management. As an Assistant Professor and Training Placement Officer at Deccan Education Society’s Smt. Jayshree Sharadchandra Kothari Business School, she specializes in programming and computer applications. Maria is also a research scholar pursuing a PhD from the University of Mumbai, focusing on deep learning for neurodegenerative disorder detection. She has been a guest speaker at multiple institutions and has received several awards for her research contributions.

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🎓 Education:

Maria Achary is currently pursuing her PhD in Deep Learning for Neurodegenerative Disorders Detection from the University of Mumbai. She holds a Master’s degree in Computer Science and Management. Her educational background is reinforced by extensive research and practical application in various fields, making her a well-rounded academic and researcher.

💼 Experience:

With over a decade of experience, Maria Achary has been a key figure in academia and industry. She currently serves as an Assistant Professor and Training Placement Officer at Deccan Education Society’s Smt. Jayshree Sharadchandra Kothari Business School. Her expertise in programming and computer applications has been instrumental in her teaching and research roles. Maria is also actively involved in consultancy projects and has been a guest speaker at various institutions.

🔬 Research Interests:

Maria Achary’s primary research interest lies in Deep Learning, particularly its application in the early diagnosis of neurodegenerative disorders like Alzheimer’s and Parkinson’s Disease. Additionally, she explores the use of Artificial Intelligence for managerial decision-making in various domains, including Marketing, Finance, and HR. Her work aims to bridge the gap between theoretical research and practical application, making significant contributions to both fields.

🏆 Awards:

Maria Achary has been recognized for her outstanding contributions to research and academia. She has received multiple awards for her innovative work and dedication to her field. Her ongoing research and commitment to excellence continue to earn her accolades and recognition within the academic community.

Publications

Title: “Deep Learning for Early Diagnosis of Neurodegenerative Disorders”, Journal: SpringerLink (2023) Link

Title: “AI in Managerial Decision-Making: Case Studies in Marketing, Finance, and HR”, Journal: Taylor & Francis Online (2024) Link

 

Nabi Mehri Khansari | Machine Learning | Best Researcher Award

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Dr. Nabi Mehri Khansari | Machine Learning | Best Researcher Award

University Professor, Sahand University of Technology, Iran

Dr. Nabi Mehri-Khansari is an esteemed Assistant Professor at the Sahand University of Technology. With a rich academic background in Mechanical and Aerospace engineering from prestigious institutions like Iran University of Science and Technology and the University of Tehran, he has made significant contributions to the field. His research spans failure analysis, damage and fracture mechanics in lightweight composite structures, leveraging machine learning and deep learning. Dr. Mehri-Khansari has collaborated with various international research centers and industries, enhancing his expertise and impact in the field.

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Scopus

Education

🎓 Dr. Nabi Mehri-Khansari obtained his B.Sc. degree in Mechanical Engineering from the Iran University of Science and Technology in 2011. He pursued his M.Sc. and Ph.D. degrees in Aerospace Engineering from the University of Tehran, completing them in 2014 and 2018, respectively. His academic excellence is marked by being ranked 2nd in M.Sc. and 1st in Ph.D., earning acceptance with quotas for talented students. He also served as a research fellow at NTNU University, Trondheim, Norway, further broadening his academic horizons.

Experience

🔧 Dr. Mehri-Khansari has an extensive professional background. He has been a faculty member at the Sahand University of Technology since January 2019. Prior to this, he was a lecturer at the University of Tehran – North Branch, a research assistant at NTNU University in Norway, and a technical expert at the Iranian Space Institute. His diverse roles reflect his versatile expertise and commitment to advancing engineering education and research.

Research Interests

🔬 Dr. Mehri-Khansari’s research interests are vast and interdisciplinary. They include wind turbine technology, multi-scale fracture mechanics of composites and inhomogeneous media, multi-scale damage mechanics, aeroelasticity, and defect detection methods. His innovative work often incorporates machine learning and deep learning techniques, pushing the boundaries of traditional engineering research.

Awards

🏅 Dr. Mehri-Khansari has received numerous accolades throughout his career. These include the prestigious Ph.D. acceptance with quotas for talented students, being ranked 1st in his Ph.D. program at the University of Tehran, and the Best Teacher Award from the Sahand University of Technology in June 2024. His membership in professional organizations such as the American Society of Mechanical Engineering and the Iranian Composites Scientific Association further underscores his professional excellence.

Publications

Orthotropic failure criteria based on machine learning and micro-mechanical matrix adapting coefficient
Mixed-modes (I/III) fracture of aluminum foam based on micromechanics of damage
Micro-mechanical damage diagnosis methodologies based on machine learning and deep learning models
Numerical & experimental assessment of mixed-modes (I/II) fracture of PMMA/hydroxyapatite nanocomposite

Muhamad Iksan | Social Sciences | Best Researcher Award

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Mr. Muhamad Iksan | Social Sciences | Best Researcher Award

PhD Candidate, National Cheng Kung University, Indonesia

👨‍🏫 Muhamad Iksan is a Senior Researcher at Paramadina Public Policy Institute, University of Paramadina, Jakarta, specializing in Public Finance and Industrial Organization. He is also a Ph.D. Candidate at the Graduate Institute of Political Economy, National Cheng Kung University, Taiwan, focusing on Political Economy of Development and Comparative Political Economy.

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Education

🎓 Muhamad Iksan holds a Ph.D. Candidate status in Political Science from National Cheng Kung University, Taiwan. He earned his M.Sc. in Business from Paramadina Graduate School of Business, Jakarta, and completed his undergraduate studies in Business Administration at the University of Indonesia.

Professional Experience

💼 Muhamad Iksan’s professional journey includes roles as a Senior Researcher at Paramadina Public Policy Institute, where he has been instrumental in shaping discussions on Indonesia’s economic policies. He has also served as Home-base Faculty at the University of Paramadina and as an Adjunct Faculty at the University of Indonesia, Department of Communication Studies.

Research Interests

🔍 Muhamad Iksan’s research interests revolve around the Political Economy of Development, focusing on Indonesia’s strategies under geopolitical shifts, foreign direct investment (FDI) dynamics in Southeast Asia, and governance responses to economic challenges.

Awards

🏆 Muhamad Iksan has received multiple grants and awards, including the National Cheng Kung University Distinguished Scholarship and grants for his research projects on Indonesia’s political economy.

Publications

2023: The political economy of Indonesia’s development strategy under China-USA power rivalry and hegemonic competition: A middle power with its hedging strategy, The Chinese Economy

2023: The local response toward Chinese investment: A case study of nickel business firms in Sulawesi, Taiwan Journal of Southeast Asian Study

2023: The determining factors of foreign direct investment (FDI) inflow: Empirical studies from the Southeast Asian Countries, Journal of Advances in Social Sciences and Policy

2022: From neoliberalism to neodevelopmentalism: Indonesian’s investment policy on the foreign capital post-new order, Journal of Advances in Social Sciences and Policy

2022: Central bank independence and policy outcomes: A trans-boundary comparison, Journal of Central Banking Law and Institutions

2021: A tale of two governments: political economy of the Indonesian investment climate reform (2004-2019), East Asian Studies

2021: The impact of Covid-19 pandemic on Indonesia consumer and business confidence indicators, Jurnal Manajemen dan Bisnis Madani

 

Anthony Tolika Sibiya | Robotics | Best Researcher Award

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Dr. Anthony Tolika Sibiya | Robotics | Best Researcher Award

Researcher, Centre for Researching Education and Labour, South Africa

Dr. Anthony Tolika Sibiya is a Post-Doctoral Fellow at the Centre for Researching Education and Labour, and a lecturer at Wits School of Education, where he teaches the Psychology of Education in TVET and Sociology of Education. He is also an associate lecturer at the American University of Central Asia and a visiting scholar at the Central European University through the Open Society University Network (OSUN) programme. His extensive teaching and research focus on promoting access and equity in education, especially in resource-constrained contexts. Dr. Sibiya previously lectured sociology at Nelson Mandela University and has a rich background in researching technical and vocational education and training (TVET).

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Education 🎓

Ph.D. (Skills for Industrial Development), University of the Witwatersrand (2018-2022). Thesis Title: The contribution of Technical Vocational Education and Training formal programmes to inclusive company growth and transformation: A case study of the automotive manufacturing sector in South Africa. MA (Sociology), Nelson Mandela University (2014-2016). Thesis Title: Vocational Education & Training and Labour Markets in South Africa. BA (Honours) – Public Administration and Political Science, Nelson Mandela University (2011)

Experience 🌍

Associate Lecturer, American University of Central Asia (September 2022-present). Facilitates discussions and lectures on global education for development. Researcher, Centre for Researching Education and Labour (Wits University) (2018-present). Involved in multiple research projects related to skills development and TVET. TVET Researcher, Centre for Integrated Post-Schooling Education and Training (NMU) (2013-2017). Researched and coordinated curriculum innovation projects for vocational education and training programs. Lecturer, Department of Sociology and Anthropology, NMU (2016). Taught courses on social and environmental issues and labour studies.

Research Interests 🔍

Dr. Sibiya’s research interests include technical and vocational education and training (TVET), skills development, education policy, labour markets, and the socio-economic impact of education in developing countries. His work focuses on the intersection of education and industrial development, aiming to enhance the inclusivity and effectiveness of TVET programs in South Africa and beyond.

Awards 🏆

Named one of Mail & Guardian’s Top 200 Young South Africans in 2019 in the Education and Training category. Appointed to several leadership and advisory roles, including serving on the research steering committee for the Department of Planning, Monitoring and Evaluation, and as General Secretary of the South African Youth Council (SAYC).

Publications 📚

Building Transformative Pedagogy in Vocational Education (2014)

The TVET sector and economic rebound implications in the world of work (2021)

The contribution of Technical and Vocational Education and Training formal programmes to inclusive company growth and transformation: a case study of the automotive …

Challenges regarding TVET training programs in the SA automotive industry