Yerassyl Saparbekov | Machine Learning | Research Excellence Award

Mr. Yerassyl Saparbekov | Machine Learning | Research Excellence Award

Nazarbayev University | Kazakhstan

Mr. Yerassyl Saparbekov is a researcher in computer science specializing in deep learning, natural language processing, and computer vision. His work focuses on embedding models, clustering techniques, and retrieval-augmented generation systems for evidence-based analysis. He has contributed to developing advanced AI solutions for student feedback interpretation and decision-support systems. His research also spans medical visual question answering, scene text super-resolution, and multimodal learning approaches. He is actively engaged in advancing applied artificial intelligence for real-world problem solving and intelligent data-driven insights.


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Kutoya Kusse | Agricultural economics | Young Scientist Award

Mr. Kutoya Kusse | Agricultural economics | Young Scientist Award

South Ethiopia Agricultural Research Institute | Ethiopia

Mr. Kutoya Kusse Gemede is a researcher in agricultural economics and rural development with a strong focus on smallholder farming systems and value chain analysis. His work explores livestock breeding programs, market systems, and agricultural productivity in pastoral and agro-pastoral regions. He has contributed to studies on climate change adaptation, resource valuation, and rural enterprise development, with a record of 64 citations, Documents 5 and an h-index of 5. His research emphasizes improving livelihoods through sustainable agricultural practices and evidence-based policy insights. With multiple publications in peer-reviewed journals, he is actively advancing research in agricultural economics and rural development.

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Enset Production, Its Challenges and Controlling Methods in South Omo Zone, Southern Ethiopia

GEDD Kutoya Kusse
Current Agriculture Research Journal, 2021 | Citations: 7


The Market Chain Analysis of Live Cattle in South Omo Zone, Southern Ethiopia

GEDD Kutoya Kusse, Yidnekachew Alemayehu
International Journal of Agricultural Research, Innovation and Technology, 2022 | Citations: 5


Value Chain Analysis of Goat in South Omo Zone, SNNPR, Ethiopia

A Adicha, M Girma, D Darcho, K Kuse
Journal of Agricultural Economics, 2021 | Citations: 5

Pınar Sezin Öztürk Kardoğan | Geotechical Engineering | Research Excellence Award

Assist. Prof. Dr. Pınar Sezin Öztürk Kardoğan | Geotechical Engineering | Research Excellence Award

Gazi University | Turkey

Assist. Prof. Dr. Pınar Sezin Öztürk Kardoğan is a researcher in civil engineering with a strong focus on geotechnical engineering and soil mechanics. Her work centers on soil liquefaction, pile foundations, and seismic soil-structure interaction. She has contributed to research on slope stability, soil stabilization, and the use of sustainable materials such as plastic waste in geotechnical applications. Her studies integrate experimental analysis and numerical modeling to address complex ground behavior under dynamic loading conditions. With a solid publication record of 10 documents, 39 citations, and an h-index of 3, she is actively advancing research in geotechnical and earthquake engineering.

Citation Metrics (Scopus)

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Featured Publications


The Role and Importance of Energy Efficiency for Sustainable Development of the Countries

SP Türkoğlu, PSÖ Kardoğan
International Sustainable Buildings Symposium, 2017 | Citations: 46


Laboratory Model Design for Deep Soil Mixing Method

Mİ Onur, M Bıçakcı, PSÖ Kardoğan, A Erdağ, M Aghlmand
Advances in Civil and Architectural Engineering, 2022 | Citations: 14


Şev Stabilitesine Zemin Özelliklerinin Etkisinin Limit Denge Yöntemi ile İrdelenmesi

M Pınarlık, PSÖ Kardoğan, RK Demircan
Mühendislik Bilimleri ve Tasarım Dergisi, 2017 | Citations: 7


Review of Liquefaction Around Marine and Pile-Supported Wharf Structures

PSÖ Kardoğan, S Bhattacharya
International Sustainable Buildings Symposium, 2017 | Citations: 7


A Study on the Laterally Loaded Pile Behaviour in Liquefied Soil Using PY Method

PSO Kardogan, NS Isik, MI Onur, S Bhattacharya
IOP Conference Series: Materials Science and Engineering, 2019 | Citations: 6

Rotan Kumar Saha | Advanced Manufacturing | Research Excellence Award

Mr. Rotan Kumar Saha | Advanced Manufacturing | Research Excellence Award

Dhaka University of Engineering & Technology | Bangladesh

Mr. Rotan Kumar Saha is a researcher in mechanical and industrial engineering with a strong focus on additive manufacturing and advanced composite materials. His work explores 3D and 4D printing technologies, including the development and characterization of high-performance polymer composites. He integrates machine learning and data-driven optimization to enhance material properties and manufacturing efficiency. His research contributions include studies on bioprinting, nanocomposites, and sustainable materials for engineering applications. With a growing publication record of 5 documents, 32 citations, and an h-index of 3, he is actively advancing innovation in smart manufacturing and materials engineering.

Citation Metrics (Scopus)

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32

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Featured Publications


Optimization of Cutting Temperature and Surface Roughness in CNC Turning of Ti-6Al-4V Alloy Using Response Surface Methodology

S Hossain, MZ Abedin, RK Saha, M Touhiduzzaman, MJ Hossen
Heliyon, 2025 | Citations: 16


Electro-Mechanical Analysis of Nanostructured Polymer Matrix Composite Materials for 3D Printing Using Machine Learning

MI Hossain, MA Chowdhury, S Mahamud, RK Saha, MS Zahid, J Ferdous
Chemical Engineering Journal Advances, 2024 | Citations: 14


Enhancing Mechanical and Surface Properties of 3D-Printed Kevlar-Reinforced ABS/PLA Composites Through FDM Process

NC Ray, RK Saha, ME Mollah, S Rakib, Y Ali
Hybrid Advances, 2025 | Citations: 5


Investigating the Impact of Layer Thickness and Print Orientation on Strength and Structural Integrity of SLA 3D Printed Composites

RK Saha, MM Rahman, MT Islam, MM Mumin, NC Ray
International Journal of Lightweight Materials and Manufacture, 2025 | Citations: 2


Electro-Mechanical Analysis of Nanostructured Polymer Matrix Composite Filament Materials for 3D Printing Using Machine Learning

MI Hossain, M Chowdhury, S Mahamud, RK Saha, MS Zahid, J Ferdous
SSRN, 2023 | Citations: 2

Rajour Jumfan Fabchi | Mining | Research Excellence Award

Mr. Rajour Jumfan Fabchi | Mining | Research Excellence Award

University of Johannesburg  | South Africa

Mr. Rajour Jumfan Fabchi is a multidisciplinary researcher specializing in artificial intelligence, big data, and digital transformation. He focuses on developing scalable, data-driven systems that integrate machine learning and advanced analytics. His research includes work on corporate alignment with Sustainable Development Goals in emerging economies. He has strong expertise in predictive modeling, automation, and intelligent system design. His work reflects a commitment to applying innovative technologies for sustainable and impactful solutions.

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An AI-Based, Big Data Quantification of Corporate Alignment with SDGs in Emerging Economies

Arnesh Telukdarie; Maddubailu Suresh Saivinod; Musawenkosi Hope Lotriet Nyathi; Rajour Jumfan Fabchi
Sustainability, March 2026 | Journal Article | DOI: 10.3390/su18073195 | Multidisciplinary Digital Publishing Institute (MDPI)

Swastika Mandal | Mining | Best Scholar Award

Ms. Swastika Mandal | Mining | Best Scholar Award

KPC Medical College and Hospital | India 

Ms. Swastika Mandal is a research-driven MBBS student with a strong focus on clinical research, public health, and medical education. She has contributed to multiple impactful studies, including work on transgender healthcare, cancer screening, and adolescent health, with several publications accepted in reputed journals. Her research emphasizes bridging gaps in medical knowledge and promoting inclusive healthcare practices. Recognized with national and international awards, she has demonstrated excellence in scientific presentation and innovation. Actively engaged in academic leadership and peer review, she continues to advance collaborative, high-impact research initiatives in medicine.


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