Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Prof. Mohammed Almulla | Prescriptive Analytics | Research Excellence Award

Kuwait University | Kuwait

Prof. Mohammed Almulla is a distinguished computer scientist with a Ph.D. from McGill University, Canada. He has served Kuwait University for over three decades, progressing from Assistant Professor to Professor, and held key administrative roles including Department Chair and Acting Vice President. His research focuses on artificial intelligence, automated theorem proving, database systems, and digital transformation in education. He contributed to ABET accreditation, ICT infrastructure, and eLearning initiatives, and actively participates in international conferences and journal reviews. Recognized for his leadership and innovation, he has received awards for informatics excellence, fostering advancements in computing education and research.

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Top 5 Publications

Data-Driven Anesthesia: An Ensemble Model for Propofol and Remifentanil Dosage Control During Medical Surgery

International Journal of Research and Scientific Innovation, 2025
DOI: 10.51244/ijrsi.2025.121500017p
Authors: Abas Almaayofi, Farah Almulla, Mohammed A. Almulla
A Trust-Based Global Expert System for Disease Diagnosis Using Hierarchical Federated Learning

Journal of Engineering Research, 2025
DOI: 10.1016/j.jer.2025.03.001
Authors: Farah M. Almulla, Mohammed A. Almulla
A Novel CLIPS-Based Medical Expert System for Migraine Diagnosis and Treatment Recommendation

Kuwait Journal of Science, 2025
DOI: 10.1016/j.kjs.2024.100310
Author: Mohammed A. Almulla
On the Effect of Prior Knowledge in Text-Based Emotion Recognition

International Journal of Research and Scientific Innovation, 2024
DOI: 10.51244/ijrsi.2024.1108005
Author: Mohammed A. Almulla
Facial Expression Recognition Using Deep Convolution Neural Networks

IEEE Annual Congress on Artificial Intelligence of Things (AIoT), 2024
DOI: 10.1109/aiot63253.2024.00022
Author: Mohammed A. Almulla

Huajie Liu | Data Sharing | Research Excellence Award

Assoc. Prof. Dr. Huajie Liu | Data Sharing | Research Excellence Award

China University of Petroleum (East China) | China

Assoc. Prof. Dr. Huajie Liu is an Associate Professor at China University of Petroleum (East China) with a PhD in Oil and Gas Well Engineering. He received his bachelor’s, master’s, and doctoral degrees from China University of Petroleum (East China), with joint doctoral training at Swinburne University of Technology, Australia. His professional experience includes postdoctoral research and long-term teaching and research in oil and gas well engineering. His research interests focus on oil well cementing functional materials and oilfield chemistry. He possesses strong skills in cement material design, microstructure characterization, interface mechanics, and numerical simulation. Liu Huajie has received multiple provincial and national science and technology awards, reflecting his significant contributions to well cementing theory, engineering applications, and technological innovation.

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Featured Publications

Development and Performance Evaluation of Temperature-Resistant Thixotropic Agent for Magnesium Oxychloride Cement Based on Response Surface Methodology

– Construction and Building Materials, 2025
Research and Development of Temperature and Hydraulic Pressure Resistance Controlled-Release Microspheres with High Carrying Capacity for Gel Breakers

– Construction and Building Materials, 2025
Study on Plugging Removal Acid System of Acid-Soluble Cement in Oil and Gas Wells: Based on Organic Solid Acid

– Geoenergy Science and Engineering, 2025
Mechanistic Analysis of the Effect of Polymers in Cement Slurry Filtrates on the Stability of Natural Gas Hydrates

– Geoenergy Science and Engineering, 2025
Optimization of Additives for a Metakaolin–Fly Ash-Based Geopolymer Cementing Slurry System at 70°C

– SPE Journal, 2025

Ayaz Abdullin | Quantum Queries | Research Excellence Award

Mr. Ayaz Abdullin | Quantum Queries | Research Excellence Award

Kazan Federal University | Russia

Mr. Ayaz Abdullin is a physicist at Kazan Federal University specializing in quantum and magnetic materials. He holds advanced training in physics and serves as Senior Lecturer with strong engagement in research and education. His work focuses on synthesis, characterization, and data-driven analysis of Fe-based alloys using XRD, Mössbauer spectroscopy, magnetometry, and DFT modeling. In 2025, he was nominated for the Track 33 Quantum Quotient Quests Research Excellence Award for outstanding analytical contributions revealing magnetic heterogeneity in Fe-Al-B alloys. He has authored 6 documents with 18 citations and an h-index of 2, contributing valuable insights to quantum materials design research.

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Featured Publications

Mössbauer Study of the Surface of Core-Shell Type Nanoparticles

– Journal of Surface Investigation. X-ray, Synchrotron and Neutron Techniques, 2016
DFT Study of Magnetic Order in Fe–Al-Based Ternary Alloys

– Magnetic Resonance in Solids, 2025

Stanislav Grabovskii | Statistical Analysis | Research Excellence Award

Dr. Stanislav Grabovskii | Statistical Analysis | Research Excellence Award

Ufa Institute of Chemistry of the Russian Academy of Sciences | Russia

Dr. Stanislav Grabovskii is a physical organic chemist with 27+ years of experience advancing biomedical chemistry, tissue regeneration, redox biology, and lipidomics. He holds a PhD in Physical Chemistry and an MBA in Science, with extensive international research experience. His work integrates kinetic analysis, computational modeling, and experimental biochemistry, resulting in a patented bioactive compound for skin, nerve, and bone repair and widely cited lipidomic standards. He has authored 78 documents with over 415 citations, an h-index of 12, and leads funded national and international projects. His research supports molecular diagnostics, disease prevention, and translational biomedical innovation.

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Featured Publications

Zakaria Mohammad | Dental Materials Science | Best Innovation Award

Dr. Zakaria Mohammad | Dental Materials Science | Best Innovation Award

 Hawler Medical University | Iraq

Dr. Zakaria Jamal is a dedicated dental professional specializing in cosmetic and restorative dentistry. With a bachelor’s degree in Dentistry (2011) and a master’s degree (2016), he is currently pursuing a Ph.D. in Conservative Dentistry under Professor Dr. Diyar Khalid Bakr at the College of Dentistry/HMU. Dr. Jamal has extensive clinical experience in cosmetic dentistry and a strong focus on research, with multiple publications in national and international journals. His work emphasizes innovative restorative techniques and evidence-based cosmetic procedures. Committed to advancing dental science, he actively contributes to both clinical practice and academic research.

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Featured Publications

Evaluation of Fracture Toughness and Surface Roughness of a Novel Experimental Short Fiber-Reinforced CAD/CAM Block Material (In Vitro Study) – Coatings, 2025-12-16
Effect of Er,Cr:YSGG Laser Debonding on Different Thickness of Ceramic Materials (In Vitro Study) – Journal of Pharmaceutical Negative Results, 2022-12-07
Evaluation of Shear Bond Strength of Two Glass Ceramic Veneers Fabricated by CAD/CAM Technology (In Vitro Study) – Annals of the Romanian Society for Cell Biology, 2021-07-01
Evaluation of Internal Adaptation of Two Glass Ceramic Veneers by Micro-CT: In Vitro Study – JCR, 2020

Priyanka Sasmal | Molecular Biology | Young Scientist Award

Ms. Priyanka Sasmal | Molecular Biology | Young Scientist Award

Harvard Medical School | United States

Priyanka Sasmal is a doctoral researcher in cell and molecular biology with advanced training in genetics and microbiology. She is pursuing a PhD focused on understanding molecular motor function during mitosis, with emphasis on spindle dynamics and chromosome segregation. Her research experience spans yeast, mammalian systems, synthetic biology, and microfluidics, integrating advanced imaging, protein engineering, and genome editing approaches. She has contributed to peer-reviewed research and international scientific conferences. Recipient of competitive international and national fellowships, her work advances fundamental insights into cytoskeletal regulation and genome stability, supporting future research in cell biology and cancer-related mechanisms.

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Featured Publications

Chimeras of Kinesin-6 and Kinesin-14 Reveal Head–Neck–Tail Domain Functions and Dysfunctions That Lead to Aneuploidy in Fission Yeast – bioRxiv, 2024

Authors: P. Sasmal; M. Miyazaki; F. Carlier-Grynkorn; P.T. Tran


Mitotic Kinesin Motors: Insights on Domain Functions

– Sorbonne Université, 2025Author: P. Sasmal

Huan Liu | Earth Space Exploration | Research Excellence Award

Prof. Huan Liu | Earth Space Exploration | Research Excellence Award

China University of Geosciences | China

Huan Liu is a Professor in automation and instrumentation with a strong academic foundation in electronic engineering and sensing technologies. He earned his PhD with research focused on high-precision magnetometers and completed joint doctoral training internationally. His professional experience spans academic research, teaching, and leadership in control technology and intelligent sensing. His research interests include magnetic field measurement, sensor arrays, instrumentation, multi-information fusion, and intelligent detection systems for environmental and security applications. He has received numerous national and international awards for research excellence, editorial service, and innovation. His work significantly advances precision sensing technologies and interdisciplinary engineering research.

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Featured Publications


A Multi-Parameter Integrated Magnetometer Based on Combination of Scalar and Vector Fields

– IEEE Transactions on Industrial Electronics, 2022

A New Digital Single-Axis Fluxgate Magnetometer According to the Cobalt-Based Amorphous Effects

– Review of Scientific Instruments, 2022

An Overview of Sensing Platform-Technological Aspects for Vector Magnetic Measurement: A Case Study of the Application in Different Scenarios

– Measurement, 2022

Anomaly Detection of Complex Magnetic Measurements Using Structured Hankel Low-Rank Modeling and Singular Value Decomposition

– Review of Scientific Instruments, 2022

Multi-Sensor Measurement and Data Fusion

– IEEE Instrumentation & Measurement Magazine, 2022

Habibullah Rezaei | Agricultural Economics | Research Excellence Award

Mr. Habibullah Rezaei | Agricultural Economics | Research Excellence Award

Samangan University | Afghanistan

Habibullah Rezaei is an Assistant Professor specializing in agricultural economics with a strong academic background in farm management and production economics. He has extensive experience in teaching, research, and applied economic analysis related to agricultural systems. His research interests include agricultural productivity, resource use efficiency, rural development, and food security, with a focus on sustainable agriculture. He has published in recognized international and regional journals and contributed to evidence-based agricultural policy discussions. His scholarly work and mentorship support capacity building in agriculture and economics, positioning him as a promising candidate for research excellence and best researcher recognition.

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Featured Publications


Assessing the efficiency of wheat producers in Dihdadi District

– Journal of Humanities and Social Sciences Studies, 2023

Authors: H. Radmand; S.M. Akbai; J. Akbari; H. Rezaei


Evaluating Agricultural Sustainability in Afghanistan (Case Study: Nijrab District)

– Process Integration and Optimization for Sustainability, 2024

Authors: H. Rezaei; A. Rezaee; H. Radmand; A.J. Safdary


Assessing the Relationship Between Food Insecurity and Agricultural Sustainability (Case Study: Rural Areas of Gorgan County)

– 2021

Authors: H. Rezaei; F.S.B. Abadi; A. Rezaee; R. Joolaie; A.A. Sarvestani


Analysing Technical, Pure Technical, Scale, and Economic Efficiency: A Case Study of Potato Producers in Khinjan District

– Potato Research, 2025

Authors: H. Radmand; H. Rezaei; R. Joolaie


Efficiency Analysis of Wheat Production in Baghlan Province: A Data Envelopment Analysis (DEA) Based Approach

– Discover Food, 2025

Authors: H. Radmand; F. Eshraghi; A. Keramatzadeh; H. Rezaei

Mojtaba Sedaghat | Energy & Mechanical Engineering | Young Scientist Award

Dr. Mojtaba Sedaghat | Energy & Mechanical Engineering | Young Scientist Award

 The Hong Kong university of science and Technology | Hong Kong

Mojtaba Sedaghat is a researcher and lecturer in Mechanical and Energy Engineering with expertise in energy systems and thermal–fluid sciences. He holds BSc and MSc degrees in Mechanical and Energy Systems Engineering and is currently a Research Fellow at the Hong Kong University of Science and Technology, focusing on industrial energy systems and building energy management. His research emphasizes sustainable built environments, renewable energy integration, CFD-based thermal analysis, and 4E (energy, exergy, economic, environmental) assessments. He has authored 6 peer-reviewed documents, received 25 citations, and holds an h-index of 4. His work has been recognized through competitive scholarships, patents, and international research awards, reflecting a strong trajectory toward academic leadership.

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Featured Publications


Effects of Covid-19 Disease on Electricity Consumption of Various Sectors in Iran

– Case Studies in Chemical and Environmental Engineering, 2024Contributors: Amir Hossein Heydari; Mojtaba Sedaghat; Ali Jahangiri; Rahim Zahedi; Maziar Shaqaqifar; Hossein Yousefi

Analysis of the Effect of Hot Rotation Cylinders on the Enhancement of Heat Transfer in Underfloor Heating Enclosures Based on Numerical and Experimental Results

– International Journal of Thermal Sciences, 2023Contributors: M. Sedaghat; A. Jahangiri; M. Ameri; A.J. Chamkha

An Experimental/Numerical Investigation and Technical Analysis of Improving the Thermal Performance of an Enclosure by Employing Rotating Cylinders

– International Communications in Heat and Mass Transfer, 2022Contributors: M. Sedaghat; A. Jahangiri; M. Ameri; A. Shahsavar

Studying the Effect of a Disinfection Robot Using UVC Lights on Fungi and Microbes in the Hospital Environment

– ICRoM Conference, 2022Contributors: M. Sedaghat; P. Madani; Y. Alvari; A. Jahangiri

Bushra Abro | Artificial Intelligence | Research Excellence Award

Ms. Bushra Abro | Artificial Intelligence | Research Excellence Award

National Centre Of Robotics And Automation | Pakistan

Ms. Bushra Abro is a Computer and Information Engineer with a strong foundation in Electronic Engineering. She holds a Master’s degree in Computer and Information Engineering and a Bachelor’s in Electronic Engineering from Mehran University of Engineering & Technology, Pakistan, graduating top of her class. With professional experience as a Research Associate and Assistant at the National Centre of Robotics and Automation, she has contributed to projects in deep learning, computer vision, federated learning, and real-time condition monitoring. Her work has earned multiple publications and awards, including a gold medal at the All Pakistan IEEEP Student Seminar. She is passionate about advancing AI-driven technological innovation.

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Featured Publications


Towards Smarter Road Maintenance: YOLOv7-Seg for Real-Time Detection of Surface Defects

– Book Chapter, 2025Contributors: Bushra Abro; Sahil Jatoi; Muhammad Zakir Shaikh; Enrique Nava Baro; Bhawani Shankar Chowdhry; Mariofanna Milanova


Federated Learning-Based Road Defect Detection with Transformer Models for Real-Time Monitoring

– Computers, 2025Contributors: Bushra Abro; Sahil Jatoi; Muhammad Zakir Shaikh; Enrique Nava Baro; Mariofanna Milanova; Bhawani Shankar Chowdhry


Harnessing Machine Learning for Accurate Smog Level Prediction: A Study of Air Quality in India

– VAWKUM Transactions on Computer Sciences, 2025Contributors: Sahil Jatoi; Bushra Abro; Sanam Narejo; Yaqoob Ali Baloch; Kehkashan Asma


Learning Through Vision: Image Recognition in Early Education

– ICETECC Conference, 2025Contributors: Sahil Jatoi; Bushra Abro; Shafi Jiskani; Yaqoob Ali Baloch; Sanam Narejo; Kehkashan Asma


From Detection to Diagnosis: Elevating Track Fault Identification with Transfer Learning

– ICRAI Conference, 2024Contributors: Sahil Jatoi; Bushra Abro; Noorulain Mushtaq; Ali Akbar Shah Syed; Sanam Narejo; Mahaveer Rathi; Nida Maryam