Imran Rehan l Data Classification | Best Researcher Award

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Assist. Prof. Dr. Imran Rehan l Data Classification | Best Researcher Award

Gomal University | Pakistan

Assist. Prof. Dr. Imran Rehan is a physicist specializing in biophotonics with a Ph.D. in Physics and a postdoctoral focus on AI in healthcare. With over a decade of teaching and research experience, Dr. Imran Rehan integrates Raman spectroscopy, LIBS, fluorescence spectroscopy, and phase-lock-in polarimetry with machine learning to develop noninvasive, label-free diagnostic tools for diseases such as diabetes, cancer, and kidney disorders. His research emphasizes clinical spectroscopy, biomarker discovery, and optical instrumentation development. Dr. Imran Rehan has published extensively, contributed to book chapters, designed advanced spectroscopic systems, and received honors including the International Outstanding Scientist Award and Best Researcher of the Year, demonstrating impactful interdisciplinary innovation.

Citation Metrics (Scopus)

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Citations
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Documents
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Featured Publications

Machine learning assisted laser spectroscopy for simultaneous multiclass diabetes detection from blood plasma
– Microchemical Journal, 2026
Cardiovascular risk prediction in diabetes: a hybrid machine learning approach
– Biomedical Physics Engineering Express, 2025
A CatBoost and ExtraTrees-based softvoting ensemble approach for non-invasive diabetes detection using hair LIBS spectral data
– Microchemical Journal, 2025
Synthesis and characterization of CNTs doped polymeric composites: comparative studies on exploring impact of CNT concentration on morphological, structural, thermokinetic and mechanical attributes
– Zeitschrift Fur Physikalische Chemie, 2025
Application of Laser Spectroscopy and Machine Learning for Diagnostics of Uncontrolled Type 2 Diabetes
– Applied Spectroscopy, 2025

Mohamed Balaha | Healthcare Data Analysis | Research Excellence Award

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Prof. Mohamed Balaha | Healthcare Data Analysis | Research Excellence Award

Prince Sattam bin Abdulaziz university | Saudi Arabia

Prof. Mohamed Balaha is a clinician–scientist, pediatric specialist, and Professor of Clinical Pharmacy and Medical Pharmacology at Prince Sattam Bin Abdulaziz University and Tanta University. He earned his M.B.B.Ch., M.Sc., and M.D./Ph.D. (Egypt–Japan) in Medical Pharmacology, with over 20 years of academic, clinical, and leadership experience. His professional work spans clinical pharmacy practice, pharmacotherapy education, quality assurance, and antimicrobial stewardship. Prof. Mohamed Balaha’s research interests focus on antimicrobial therapeutics, immunopharmacology, plant-derived bioactives, and translational disease models, supported by strong skills in in vivo experimentation, molecular pathways analysis, and clinical evaluation. His impactful publications, editorial roles, and international collaborations underpin multiple research excellence recognitions, reflecting sustained contributions to evidence-based medicine and innovative pharmacological solutions.

Citation Metrics (Scopus)

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Citations
494

Documents
45

h-index
14

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Featured Publications

Razi Al-Azawi | Image Processing | Research Excellence Award

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Prof. Dr. Razi Al-Azawi | Image Processing | Research Excellence Award

University of Technology | Iraq

Prof. Dr. Razi Al-Azawi is a distinguished academic and researcher specializing in informatics, artificial intelligence, and advanced computational systems. He holds dual B.Sc. degrees in Laser and Optoelectronics Engineering from the University of Technology and Mathematical Sciences from Mustansiriah University, an M.Sc. in Modeling and Simulation from the University of Technology, and a PhD in Informatics from Kharkov National University of Radio Electronics. Over a career spanning more than two decades, he has taught a wide range of postgraduate and undergraduate courses, including image processing, deep learning, AI, modeling and simulation, information theory, optimization, probability, web design, and advanced programming. His research interests encompass machine learning, data mining, medical image analysis, laser engineering, cybersecurity, and advanced computational modeling. He has supervised over 50 undergraduate theses and numerous postgraduate dissertations at the Higher Diploma, M.Sc., and PhD levels. His scholarly output includes 16 documents, 264 citations by 257 documents, and an h-index of 6. He has served as a reviewer for several international journals and conferences and holds multiple patents under processing. Through his academic leadership and scientific contributions, he continues to advance innovation in computer science, AI, and engineering domains.

Profiles : Scopus |

Featured Publications

Angelos Athanasiadis | Machine Learning and AI Applications | Research Excellence Award

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Mr. Angelos Athanasiadis | Machine Learning and AI Applications | Research Excellence Award

Aristotle University of Thessaloniki (AUTH) | Greece

Mr. Angelos Athanasiadis is a Ph.D. candidate in Electrical and Computer Engineering at Aristotle University of Thessaloniki, specializing in FPGA-based acceleration of Convolutional Neural Networks (CNNs) and heterogeneous computing systems. He holds an M.Eng. in Electronics and Computer Systems and an MBA with high distinction. His research focuses on energy-efficient FPGA architectures, full-precision CNN inference on reconfigurable hardware, drone-assisted monitoring systems, distributed embedded system emulation, and timing-accurate simulation of cyber-physical systems. Angelos has contributed to EU-funded research projects such as ADVISER and REDESIGN, and has gained industrial experience in embedded system development and R&D at Cadence Design Systems, EXAPSYS, and SEEMS PC. He developed a parameterizable high-level synthesis matrix multiplication library for AMD FPGAs and designed FUSION, an open-source framework integrating QEMU with OMNeT++ via HLA/CERTI for deterministic, sub-microsecond synchronized, multi-node emulation of heterogeneous computing systems. His work supports realistic prototyping of systems combining CPUs, GPUs, and FPGAs in accuracy-critical domains such as aerial monitoring and autonomous embedded platforms. With a strong foundation in both academic research and industrial applications, Angelos advances the field of FPGA-based acceleration and distributed embedded computing, bridging innovation with practical deployment.

Profile : Google Scholar

Featured Publications

Athanasiadis, A., Tampouratzis, N., & Papaefstathiou, I. (2025). An efficient open-source design and implementation framework for non-quantized CNNs on FPGAs. Integration, 102625.

Athanasiadis, A., Tampouratzis, N., & Papaefstathiou, I. (2025). Energy-efficient FPGA framework for non-quantized convolutional neural networks. arXiv preprint arXiv:2510.13362.

Athanasiadis, A., Tampouratzis, N., & Papaefstathiou, I. (2024). An open-source HLS fully parameterizable matrix multiplication library for AMD FPGAs. WiPiEC Journal – Works in Progress in Embedded Computing Journal, 10(2).

Katselas, L., Jiao, H., Athanasiadis, A., Papameletis, C., Hatzopoulos, A., … (2017). Embedded toggle generator to control the switching activity during test of digital 2D-SoCs and 3D-SICs. 2017 27th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS).

Katselas, L., Athanasiadis, A., Hatzopoulos, A., Jiao, H., Papameletis, C., … (2017). Embedded toggle generator to control the switching activity. 2017. (Conference details same as above; possible short version or extended abstract.)

Aditta Chowdhury | IoT (Internet of Things) Analytics | Research Excellence Award

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Mr. Aditta Chowdhury | IoT (Internet of Things) Analytics | Research Excellence Award

Chittagong University of Engineering and Technology | Bangladesh

Aditta Chowdhury is an electrical and electronic engineering researcher and academic whose work focuses on advancing biomedical signal processing, embedded systems, and sustainable energy technologies. He holds both a Bachelor of Science and a Master of Science in Electrical and Electronic Engineering from the Chittagong University of Engineering and Technology, graduating with top academic distinction. His professional journey includes teaching and research roles in reputed engineering institutions, where he has contributed to curriculum development, laboratory instruction, and collaborative research. His research experience spans FPGA-based biomedical signal processing, photoplethysmogram-driven cardiovascular and metabolic disease detection, multimodal physiological signal analysis, plasmonic biosensing, microgrid feasibility assessment, and low-power VLSI system design. He has published extensively in high-impact journals and international conferences, demonstrating expertise in hardware–software co-design, machine learning applications in healthcare, and emerging sensor technologies. His work has resulted in several innovative solutions, including cardiovascular disease classifiers, hypertension detection systems, EOG-based eye-movement processors, and microgrid sustainability assessments. He has received multiple academic scholarships and awards recognizing his exceptional academic performance and research accomplishments. Driven by a commitment to impactful scientific contribution, he aims to continue developing intelligent, efficient, and accessible engineering solutions through interdisciplinary research and innovation.

Profile : Google Scholar

Featured Publications

Chowdhury, A., Das, D., Eldaly, A.B.M., Cheung, R.C.C., & Chowdhury, M.H. (2024). “Photoplethysmogram-based heart rate and blood pressure estimation with hypertension classification.” IPEM–Translation, 100024.

Joy, J.D., Rahman, M.S., Rahad, R., Chowdhury, A., & Chowdhury, M.H. (2024). “A novel and effective oxidation-resistant approach in plasmonic MIM biosensors for real-time detection of urea and glucose in urine for monitoring diabetic and kidney disease.” Optics Communications, 573, 131012.

Chowdhury, A., Das, D., Hasan, K., Cheung, R.C.C., & Chowdhury, M.H. (2023). “An FPGA implementation of multiclass disease detection from PPG.”
IEEE Sensors Letters, 7(11), 1–4.

Islam, M.A., Chowdhury, A., Jahan, I., & Farrok, O. (2024). “Mitigation of environmental impacts and challenges during hydrogen production.”
Bioresource Technology, 131666.

Chowdhury, A., Das, D., Cheung, R.C.C., & Chowdhury, M.H. (2023). “Hardware/software co-design of an ECG–PPG preprocessor: A qualitative and quantitative analysis.”
Proceedings of the 2023 International Conference on Electrical, Computer and Communication Engineering, 9.

Decheng Li | Engineering | Best Researcher Award

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Mr. Decheng Li | Engineering | Best Researcher Award

Lanzhou University of Technology | China

Dr. Decheng Li is a dedicated scholar and researcher at the School of Automation and Electrical Engineering, Lanzhou University of Technology, China. He obtained his academic training in electrical engineering and automation, focusing on intelligent control systems, robotics, and power electronics. With extensive teaching and research experience, Dr. Li has contributed significantly to the advancement of automation technologies and intelligent systems applications in industrial environments. His research interests encompass intelligent control theory, optimization algorithms, renewable energy integration, and advanced signal processing techniques for control systems. Dr. Li has authored and co-authored numerous papers in leading international journals and conferences, reflecting his commitment to academic excellence and technological innovation. He has been involved in several national and provincial research projects, fostering collaboration between academia and industry. In recognition of his contributions, Dr. Li has received multiple academic awards and honors for his outstanding research and teaching performance. He continues to mentor graduate students and promote interdisciplinary research to solve real-world engineering challenges. Dr. Li remains committed to advancing automation and intelligent systems for sustainable industrial development and the future of smart technologies.

Profile: Orcid

Featured Publication

Liu, J., Li, D., & Chen, H. (2025). “Robust hybrid decentralized controller design for Voice Coil Actuator-Fast Steering Mirror system in high-precision optical measurements.

Alexander Churbanov | Predictive Modeling Innovations | Best Researcher Award

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Dr. Alexander Churbanov | Predictive Modeling Innovations | Best Researcher Award

Keldysh Institute of Applied Mathematics, Russian Academy of Sciences | Russia

Dr. Alexander Churbanov is a senior scientist at the Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, specializing in mathematical modeling, computational fluid dynamics (CFD), and coupled physical phenomena in porous media and viscous flows. He received his M.S. and Ph.D. degrees in Mathematical Modeling from Lomonosov Moscow State University in 1978 and 1988, respectively, with his doctoral thesis focused on numerical simulation of convective phenomena in technological facilities. Dr. Churbanov began his career as an engineer developing training systems for Soviet orbital flights at the Bureau of Space Research “ENERGIA” and later contributed to semiconductor material production modeling at the State Institute of Rare Metals Industry. Since 1988, he has served as a Senior Scientist at Keldysh Institute, where his research emphasizes the development of efficient algorithms and codes for CFD applications. He has authored 34 documents, including 25 SCI/Scopus-indexed journal papers, and his work has been cited 240 times, yielding an h-index of 8. His research interests encompass incompressible and slightly compressible viscous flows, coupled phenomena, open-source CFD software, and predictive modeling innovations. Recognized for contributions to mathematical modeling of coupled physical systems, Dr. Churbanov continues to advance computational methods, bridging theory and practical applications in engineering and applied sciences.

Profiles : Scopus | Orcid

Featured Publications

Churbanov, A. G., Churbanova, N. G., & Trapeznikova, M. A. (2023). “Coupled Prediction of Flows in Domains Containing a Porous Medium and a Free Stream.” Mathematical Models and Computer Simulations.

Churbanova, N. G., Trapeznikova, M. A., Churbanov, A. G., & Emets, V. V. (2023). “Prediction of Flows in an Automotive Catalytic Converter.” In Systems of Signals Generating and Processing in the Field of On-Board Communications, SOSG 2023 – Conference Proceedings.

Podryga, V. O., Churbanov, A. G., Tarasov, N. I., Polyakov, S. V., Trapeznikova, M. A., & Churbanova, N. G. (2022). “Multiscale Approach for Modeling Multiphase Fluid Flows in Installations for Reprocessing of Natural Gas.” Lobachevskii Journal of Mathematics.

Churbanov, A., Churbanova, N., Polyakov, S., & Trapeznikova, M. (2021). “Coupled Calculations of Flows in Domains Including a Porous Medium and a Homogeneous Fluid.” In Proceedings – 2021 Ivannikov Memorial Workshop, IVMEM 2021.

Polyakov, S. V., Trapeznikova, M. A., Churbanov, A. G., & Churbanova, N. G. (2021). “Prediction of Incompressible Flows in a Porous Medium-Free Stream System.” Keldysh Institute Preprints.

Larisa Mezentseva | Real-world Case Studies | Best Scholar Award

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Dr. Larisa Mezentseva | Real-world Case Studies | Best Scholar Award

National Research Centre Kurchatov Institute | Russia

Dr. Larisa P. Mezentseva is a distinguished materials chemist and Leading Researcher at the I.V. Grebenshchikov Institute of Silicate Chemistry (Branch of NRC “Kurchatov Institute,” Russia), with over five decades of expertise in inorganic and materials chemistry. She earned her Ph.D. in Chemistry from the Institute of Silicate Chemistry of the Russian Academy of Sciences, focusing on the phase diagrams of lanthanide–phosphate systems. Her research primarily centers on the synthesis, crystal chemistry, and functional properties of rare-earth phosphates, aluminates, and nanostructured oxide ceramics. She has made significant contributions to sol-gel synthesis methods, phase equilibria studies, and the development of advanced ceramic materials for high-temperature and nuclear applications. Dr. Mezentseva has published more than 49 scientific papers, accumulated over 522 citations, and holds an h-index of 13 (Scopus). Her work has appeared in leading international journals such as Glass Physics and Chemistry, Journal of Nuclear Materials, and Russian Journal of Inorganic Chemistry. She has also contributed to patents and collaborative projects advancing the design and application of functional oxide materials. Through her extensive scientific output and mentorship, Dr. Mezentseva has played a vital role in strengthening global understanding of rare-earth ceramics and functional materials.

Profiles : Orcid | Scopus

Featured Publications

Mezentseva, L. (2022). “Ceramic Composites Based on Lanthanum Orthophosphate and Alumina: Preparation and Properties” in Glass Physics and Chemistry.

Mezentseva, L. (2021). “Ceramic Composite Matrices Based on the LaPO4–ZrO2 System: Preparation and Properties” in Glass Physics and Chemistry.

Mezentseva, L. (2021). “Ceramic Composites Based on Nanosized Lanthanum Orthophosphate and Their Properties” in Glass Physics and Chemistry.

Mezentseva, L.P.; Osipov, A.V.; Ugolkov, V.L.; Akatov, A.A.; Doil’nitsyn, V.A. (2019). “Physicochemical Properties of Ceramics Based on a LaPO4–DyPO4 System” in Glass Physics and Chemistry.

Mezentseva, L.; Osipov, A.; Ugolkov, V.; Kruchinina, I.; Maslennikova, T.; Koptelova, L. (2019). “Sol–gel Synthesis of Precursors and Preparation of Ceramic Composites Based on LaPO4 with Y2O3 and ZrO2 Additions” in Journal of Sol-Gel Science and Technology.

Amanuel Kachiko | Electrica Power Engineering | Best Faculty Award

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Mr. Amanuel Kachiko | Electrica Power Engineering | Best Faculty Award

Haramaya University | Ethiopia

Amanuel Kachiko is a Lecturer and Researcher in Electrical Power Engineering at Haramaya University, Ethiopia, with over eight years of academic and research experience. He holds BSc and MSc degrees in Electrical and Computer Engineering and Electrical Power Engineering, with specialized training in reliability of power systems, renewable energy, grid and off-grid power systems, and optimization of generation, transmission, and distribution networks. His expertise spans simulation tools such as MATLAB, ETAP, PSAT, DigSILENT, and advanced programming for engineering applications. Amanuel’s research interests focus on smart grids, renewable energy integration, power system reliability, and AI-based solutions for energy systems, with several peer-reviewed publications in leading journals including Energy (Elsevier). His contributions extend to applied projects such as the design of automated health, insurance, and ambulance management systems, and the development of automated performance management systems for regional utilities in Ethiopia. He has also completed international certifications in AI, data science, cybersecurity, and research publishing, and actively contributes as a peer reviewer for scientific journals. With a commitment to innovation, teaching, and community-focused projects, Amanuel continues to explore solutions for sustainable electrification, smart grid design, and data-driven energy optimization, shaping the future of energy transitions in developing regions and beyond.

Profiles : Scopus | Orcid 

Featured Publication

“A feasibility analysis of PV-based off-grid rural electrification for a pastoral settlement in Ethiopia”

AbdelKarim AlBataineh | Behavioral Economics Research | Best Researcher Award

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Assist. Prof. Dr. AbdelKarim AlBataineh | Behavioral Economics Research | Best Researcher Award

University of Petra | Jordan

Assist. Prof. Dr. AbdelKarim Fawwaz AlBataineh is a distinguished academic and researcher in the field of economics, with a strong focus on financial and banking sciences. He has built a career that blends teaching, research, academic leadership, and professional service. Over the years, he has contributed to advancing knowledge in areas such as financial inclusion, governance, remittances, sustainable development, and economic growth. His career is marked by scholarly publications, participation in academic committees, and recognition through prestigious awards.

Professional Profiles

Orcid
Google Scholar

Education

Dr. AlBataineh pursued his higher education in the Russian Federation, where he developed expertise in economics and management of national economies. He completed a Master of Science in Engineering of the Economies of Radio and Television Production and later earned his Doctorate in Economics. His doctoral research explored organizational and economic factors shaping the development and efficiency of media industries, reflecting his interdisciplinary approach that connects economic theories with practical applications in technology and communication.

Experience

His academic career began with teaching roles at Al-Zaytoonah Private University before joining the University of Petra, where he has served as Assistant Professor in the Department of Financial and Banking Sciences. Beyond teaching, he has taken on leadership and service roles, including Assistant Dean of Student Affairs and membership in key university and faculty-level committees related to accreditation, academic program management, and quality assurance. He has also contributed to guiding students through academic counseling, examination oversight, and research mentorship. In addition to his academic experience, Dr. AlBataineh gained valuable early professional exposure in media and consulting roles, bridging the gap between economics and applied industries.

Research Interests

Dr. AlBataineh’s research interests lie at the intersection of financial sciences, economic development, and technological innovation. His studies address critical issues such as the role of financial inclusion in promoting investment, the effects of remittances on poverty alleviation, corporate governance under crisis conditions, the impact of smart contracts on land registry systems, and the role of business incubators in fostering women’s entrepreneurship. He has also investigated the dynamics of price policies, financial ratios, and inventory management, offering insights into the functioning of markets and organizations in Jordan and beyond. His commitment to exploring diverse topics highlights his adaptability and dedication to contributing to sustainable economic growth.

Award

Dr. AlBataineh’s scholarly achievements have been recognized through the Al Hussein Fund for Excellence Economic Research Award, honoring his contributions to labor economics and applied financial studies. This recognition underscores his ability to generate impactful research with relevance to policy, practice, and sustainable development in the region.

Publications

AlBataineh, A.F. (2025). The effect of smart contracts (blockchain technology) on Jordan’s land registry and survey department for sustainable development. Discover Sustainability.

Yousef Ali, H.Y.A., Hamshari, Y.M., Alqam, M.A., & AlBataineh, A.F. (2025). Effects of corporate governance at information asymmetry on the presence of COVID-19 pandemic. Data and Metadata, 2(2), Article 672.

AlBataineh, A.K.F., Harb, A.S.M., Alnajjar, A.H., & Alhaj, R.S. (2024). Evaluating the impact of business incubators on promoting growth and creativity in women’s projects in Jordan. International Journal of Management and Sustainability, 13(4), 158–170.

AlBataineh, A. (2024). The effect of remittances on poverty and economic growth in Jordan: Evidence from augmented autoregressive distributed lag model. Technological and Economic Development of Economy, 30(4), 915–933.

AlBataineh, A. (2024). The effect of price policy on market share for retail stores in Jordan. Kurdish Studies, 12(1), 45–57.

AlBataineh, A. (2023). Role of financial stability in strengthening the relationship between financial inclusion and investments in the Jordanian financial sector. Journal of Hunan University Natural Sciences, 50(4), 25–34.

Conclusion

Assist. Prof. Dr. AbdelKarim AlBataineh is an accomplished academic whose career reflects a balance of teaching excellence, research innovation, and community engagement. Through his contributions to higher education, scholarly publications, and professional service, he continues to influence the field of economics and financial sciences. His dedication to advancing knowledge and addressing real-world challenges positions him as a respected scholar and mentor within the academic and professional community.