HEDAYATULLAH EHSAN | Nursing | Best Researcher Award

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.

Profile

ORCID

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

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.

Profile

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

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.

Profile

ORCID

🎓 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

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.

Profile

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

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.

Profile

ORCID

 

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

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).

Profile

Google Scholar

 

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

Karima BENALI | Mathematics | Best Researcher Award

Dr. Karima BENALI | Mathematics | Best Researcher Award

PHD Diploma, University of Sfax, Tunisia

👩‍🔬 Dr. Karima Benali, a dedicated academic, holds a Ph.D. in Fundamental Mathematics. With two years of teaching experience at the Institut Supérieur de Biotechnologie de Sfax, she is passionate about education and guiding her students to overcome challenges and achieve their full potential.

Profile

Scopus

 

Education

🎓 Dr. Benali has an extensive educational background, including specialized training in English communication, project engineering, Python programming, and SPSS software. She completed her Ph.D. in Fundamental Mathematics at the Faculty of Sciences of Sfax, where she also received various other training and certifications.

Experience

👩‍🏫 Dr. Benali has taught at the Faculty of Sciences of Sfax and the Institut Supérieur de Biotechnologie de Sfax. Her roles included supervising directed works for courses in Analysis, Algebra, Biostatistics, Probability, and Statistics across multiple undergraduate programs. She has a strong commitment to enhancing students’ academic experiences through interactive and engaging teaching methods.

Research Interests

🔬 Dr. Benali’s research interests lie in the fields of algebra, particularly Hom-Lie algebras and Bihom-Lie algebras. She has presented her research at numerous international conferences and has published several influential papers in these areas.

Awards

🏆 Dr. Benali has been recognized for her contributions to mathematics with multiple awards and certificates of participation in prestigious conferences, including the Tunisio-Japanese conference, the Algebra and Lie Theory conference in France, and the Euro-Maghreb conference.

Publications

“Bialgebras, the Yang-Baxter equation and Manin triples for mock-Lie algebras”
“Representations of simple Hom-Lie algebras”
“Bialgebras via Manin triples of compatible mock-Lie algebras”

Xuejun Du | Environmental Science | Best Researcher Award

Dr. Xuejun Du | Environmental Science | Best Researcher Award

Engineer, CECEP Engineering and Technology Research Institute Co. Ltd, China

Xuejun Du is an Engineer at CECEP Engineering and Technology Research Institute Co. Ltd. His expertise lies in improving salt-affected soils, particularly in the Songnen Plain of China, using agricultural and industrial wastes. His research focuses on soil carbon/nitrogen cycling and microbial processes, enhancing crop yields in salt-affected areas.

Profile

Scopus

Education 📚

Xuejun Du holds specialized training in soil science and agricultural technology, complemented by practical field experience in ecological restoration and agricultural sustainability.

Experience 💼

With extensive experience in research and innovation, Xuejun Du has led numerous projects on soil improvement and published extensively in international journals.

Research Interests 🔬

Xuejun Du’s research interests include soil improvement mechanisms, carbon/nitrogen cycling in soil, and microbial community dynamics in saline environments.

Awards 🏆

Xuejun Du’s pioneering work in salt-affected soil improvement earned him recognition from the Chinese Agricultural Society for his contributions to ecological restoration.

Publications 

Key Technology and Application of Rapid Desalination Ecological Restoration of Saline-alkali Land in Songnen Plain, China

Long-term rice cultivation increases contributions of plant and microbial-derived carbon to soil organic carbon in saline-sodic soils

Responses of soil carbon cycling microbial functional genes to nitrogen and phosphorus addition in saline-sodic soils

A cationic quantum dot-based ratiometric fluorescent probe to visually detect berberine hydrochloride in human blood serums

Effects of a new type of soil amendment on physical and chemical properties of soda alkali-saline soil and yield of the rice

 

Amany Aboulrous | Chemical Engineering | Best Researcher Award

Dr. Amany Aboulrous | Chemical Engineering | Best Researcher Award

Researcher, Egyptian Petroleum Research Institute, Egypt

Amany Ayman Aboulrous, PhD, is an organic chemistry researcher at the Egyptian Petroleum Research Institute’s Production Department. Her expertise lies in developing environmentally friendly additives and formulations for oil well drilling fluids.

Profile

Google Scholar

 

📚 Education:

Amany holds a PhD in Organic Chemistry from Menoufia University (2019), focusing on corrosion inhibitors in brine systems. She completed her Master’s and Bachelor’s degrees in Organic Chemistry from Benha University in 2013 and 2008, respectively.

🌟 Experience:

Since 2019, Amany has been a full-time researcher at the Egyptian Petroleum Research Institute, specializing in drilling fluids. She has also lectured at Mansoura University and served as a research assistant from 2014 to 2019.

🔬 Research Interests:

Her research interests include nanocomposites for enhanced oil recovery, sustainable drilling technologies, and biopolymer applications in oilfield operations.

🏆 Awards:

Amany received the Egyptian patent for “Preparation Ecofriendly New Lubricants Based on Jatropha Oil Formulation for Oil Well Drilling” in 2020.

Publications:

Enhancing Carbon Dioxide Foam Flooding for Egyptian Oil Recovery: The Role of Arabic Gum Nanocomposites in Foam Stability and Interfacial Properties, Petroleum Science and Technology Journal, 2024.

Comprehensive Review on Wellbore Cleaning: Analyzing Factors, Simulation Models, and Emerging Technologies for Enhanced Drilling Efficiency, Journal of Petroleum and Mining Engineering, 2024.

Natural polymers: industry techniques and applications
Investigation of some locally water-soluble natural polymers as circulation loss control agents during oil fields drilling
Evaluation of some natural water-insoluble cellulosic material as lost circulation control additives in water-based drilling fluid