Mrs. Ainur Mukhanova | Engineering | Best Researcher Award

Mrs. Ainur Mukhanova | Engineering – Senior Researcher at “Institute of Metallurgy and Ore Beneficiation” JSC, Satbayev University, Kazakhstan.

Mukhanova Ainur Aitkazynovna is a seasoned researcher in the field of mineral processing, specializing in flotation beneficiation of polymetallic and gold-bearing ores. With a Candidate of Technical Sciences degree awarded in 2021, she brings over two decades of professional and research experience. Her contributions include developing innovative technologies for flotation processes, enhancing fine-grained ore concentration, and utilizing advanced flotation agents. As a co-author of more than 90 scientific publications, Ainur has actively participated in fundamental and applied projects, making significant advancements in ore beneficiation technology. Currently, she serves as a researcher at the Institute of Metallurgy and Ore Beneficiation, where her work focuses on improving processing methods for challenging ore deposits.

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Education

🎓 Mukhanova Ainur Aitkazynovna graduated from the K. I. Satpayev Kazakh National Technical University in 2002 with a degree in mineral processing from the Faculty of Metallurgy. Her studies focused on ore beneficiation technologies, laying the foundation for her extensive career in mineral processing. Ainur further advanced her expertise during her postgraduate studies (2002–2005) at the Institute of Metallurgy and Ore Beneficiation, where she conducted research in flotation processes and chemical analysis of ores. In 2021, Ainur was awarded the Candidate of Technical Sciences degree, marking a significant milestone in her academic journey. Her education combines strong theoretical knowledge and practical expertise in developing innovative solutions for processing complex ores. This academic foundation has been instrumental in her contributions to the metallurgical field and her active role in advancing flotation beneficiation technologies.

Experience

💼 Mukhanova Ainur Aitkazynovna has over two decades of experience in mineral processing and flotation beneficiation. She began her career as a postgraduate researcher (2002–2005) at the Institute of Metallurgy and Ore Beneficiation, focusing on ore processing technologies. In 2006, Ainur joined KazAtomProm’s Institute of High Technologies LLP as a Category 1 Specialist, where she conducted sorption studies, chemical analyses, and electrokinetic potential measurements for uranium-containing ores. Since 2006, she has worked as a researcher at the Institute of Metallurgy and Ore Beneficiation, contributing to fundamental and applied projects on processing polymetallic, copper-molybdenum, and gold-bearing ores. Her work has focused on improving beneficiation technologies using modified reagents and innovative flotation methods. Ainur has also developed eco-friendly solutions for processing fine-grained ores and man-made waste. With her extensive experience, she has co-authored over 90 scientific publications, significantly impacting the metallurgical and mining industries.

Research Interests

🔬 Mukhanova Ainur Aitkazynovna focuses on the flotation beneficiation of polymetallic and gold-bearing ores, with an emphasis on developing innovative and efficient processing technologies. Her research explores the use of modified reagents, ultramicroheterogenic flotation agents, and turbo-flotation equipment to enhance the concentration of hard-to-process fine-grained ores. Ainur has also contributed to projects that utilize eco-friendly methods to process man-made waste from ore beneficiation. Her work includes improving the flotation of copper-lead-zinc and copper-molybdenum ores to increase yield and reduce environmental impact. Ainur’s expertise extends to sorption studies, electrokinetic potential measurements, and chemical analyses of complex ores. Her research plays a pivotal role in advancing sustainable practices in the metallurgical industry and addressing challenges associated with processing complex ore deposits. Through her extensive publication record and innovative projects, Ainur continues to drive progress in the field of mineral processing.

Awards

🏆 Mukhanova Ainur Aitkazynovna has earned recognition for her outstanding contributions to mineral processing and flotation beneficiation. Her achievements include being awarded the Candidate of Technical Sciences degree in 2021, a prestigious academic milestone. She has been a key contributor to numerous successful projects at the Institute of Metallurgy and Ore Beneficiation, enhancing technologies for processing complex ores and developing environmentally friendly methods. Ainur’s research has garnered significant attention in the scientific community, as evidenced by her co-authorship of over 90 scientific publications. Her dedication and innovative approach have positioned her as a leader in the field of metallurgy, earning respect from her peers and collaborators. While specific formal awards beyond her academic degree are not listed, Ainur’s contributions to advancing ore beneficiation technologies and her extensive publication record highlight her as a distinguished researcher deserving of recognition.

Publications

Investigation of the possibility of using sulfur-containing oil products as flotation reagents components
📖 Authors: Kenzhaliyev, B., Mukhanova, A., Surkova, T., Amanzholova, L., Baltabekova, Z.
📅 Year: 2024
📊 Citations: 0

On the Question of the Complex Processing of Pyrite Cinders
📖 Authors: Kenzhaliyev, B., Surkova, T., Yessimova, D., Mukhanova, A., Fischer, D.
📅 Year: 2023
📊 Citations: 2

Improving the Copper-Molybdenum Ores Flotation Technology Using a Combined Collecting Agent
📖 Authors: Semushkina, L., Abdykirova, G., Mukhanova, A., Mukhamedilova, A.
📅 Year: 2022
📊 Citations: 6

Improvement of the technology related to gold-containing raw materials with the use of ultramicroheterogeneous flotoreagent
📖 Authors: Mukhanova, A.A., Yessengaziyev, A.M., Barmenshinova, M.B., Toilanbay, G.A., Toktagulova, K.N.
📅 Year: 2022
📊 Citations: 10

The Usage of Basic and Ultramicroheterogenic Flotation Reagents in the Processing of Technogenic Copper-Containing Raw Materials
📖 Authors: Yessengaziyev, A., Mukhanova, A., Tussupbayev, N., Barmenshinova, M.
📅 Year: 2022
📊 Citations: 10

Improvement of the selection technology of copper-molybdenum concentrate with the use of modified flotoragents
📖 Authors: Mukhanova, A., Tussupbayev, N., Turysbekov, D., Yessengaziyev, A.
📅 Year: 2022
📊 Citations: 9

Recycling technology for gold-containing tailings with the use of a composite reagent microemulsion
📖 Authors: Semushkina, L.V., Tussupbayev, N.K., Turysbekov, D.K., Narbekova, S.M., Mukhanova, A.A.
📅 Year: 2022
📊 Citations: 1

Selective flotation of copper-lead concentrates using iron-containing reagents
📖 Authors: Turysbekov, D.K., Mukhanova, A.A., Narbekova, S.M., Musina, M.M.
📅 Year: 2020
📊 Citations: 0

Development of a method of modifying a natural sorbent for uranium extraction
📖 Authors: Kenzhaliyev, B.K., Surkova, T.Y., Berkinbayeva, A.N., Mukhanova, A.A., Abdikerim, B.E.
📅 Year: 2020
📊 Citations: 4

Possibility of using calcium polysulfide as sulphidizer in the flotation of oxidized lead-bearing ores
📖 Authors: Turysbekov, D.K., Semushkina, L.V., Mukhanova, A.A., Narbekova, S.M.
📅 Year: 2018
📊 Citations: 0

Conclusion

Mukhanova Ainur Aitkazynovna is a highly suitable candidate for the Best Researcher Award due to her extensive contributions to mineral processing and flotation beneficiation. Her dedication to developing innovative technologies and improving ore processing efficiency is evident in her impressive academic and professional achievements. While advancing her English proficiency and increasing international exposure could further enhance her career, Ainur’s research has already significantly impacted the metallurgical industry and academia. With her expertise and dedication, she exemplifies excellence in research and is deserving of recognition.

Dr. Shams Al Ajrawi | Computer Engineering | Best Researcher Award

Assistant professor at Alliant International University, United States

Shams Al Ajrawi is a Lead Software Engineer and academic researcher with over a decade of experience in web application and backend development. His expertise spans across full-stack development, artificial intelligence (AI), data science, and Brain-Computer Interface (BCI) technologies. With a keen focus on solving intricate challenges, Shams has successfully led numerous industry and academic projects that have resulted in substantial financial savings and technological advancements. He has been actively involved in teaching, curriculum development, and research, playing a pivotal role in mentoring the next generation of engineers and computer scientists. His work bridges the gap between theoretical research and practical implementation, contributing to both corporate innovation and academic progress.

Profile:

SCOPUS

Education:

Shams Al Ajrawi holds a Ph.D. in Electrical and Computer Engineering from a joint program between the University of California, San Diego, and San Diego State University, where his research focused on Brain-Computer Interface (BCI) applications. Prior to his Ph.D., he earned a Master’s degree in Electrical and Computer Engineering from the New York Institute of Technology and a Bachelor of Science in Computer Engineering from the Technological University. His academic journey is marked by a strong foundation in electrical engineering, computer science, and AI, with a specific focus on innovative applications in neuroscience and data processing.

Experience:

Shams has held prominent roles in both industry and academia. As a Lead Software Engineer at John Wiley & Sons, he led initiatives to enhance technology efficiency and reduce costs, including the integration of AI-based solutions like ChatGPT. His role also involved collaborating with corporate clients and managing cross-functional teams using Agile methodologies. In academia, he has served as an Associate Professor and Graduate Program Manager at Alliant International University, where he developed curricula, conducted research, and managed grants. Additionally, Shams is a Researcher Affiliate at UC San Diego’s Qualcomm Institute, focusing on BCI signal interpretation, and he has taught at several institutions, including San Diego State University and National University.

Research Interest:

Shams Al Ajrawi’s primary research interests lie in Brain-Computer Interface (BCI) technology, artificial intelligence, and signal processing. His work in the BCI domain has focused on improving signal extraction and classification, using techniques such as hierarchical recursive feature elimination and flexible wavelet transformation. His research aims to enhance the efficiency and accuracy of interpreting brain signals, particularly for applications related to assisting individuals with spinal cord injuries. Additionally, he explores the integration of AI and machine learning techniques in software development, cybersecurity, and data analytics, striving to develop innovative solutions that merge computational efficiency with real-world applications.

Awards:

Shams has been recognized for his contributions in both industry and academia. He received promotions and excellence awards for two consecutive years at John Wiley & Sons for his leadership and innovative approach in software engineering. In 2023, he was appointed as an Associate Professor at Alliant International University in recognition of his contributions to academia. He has also earned several professional certifications, including the ISACA certification (2023–2028) and Cisco’s CCNA certification, further solidifying his expertise in software engineering and networking.

Publications:

Shams Al Ajrawi has authored numerous papers in prestigious journals, focusing on BCI applications, RFID, and AI. Some of his notable publications include:

“Investigating Feasibility of Multiple UHF Passive RFID Transmitters Using Backscatter Modulation Scheme in BCI Applications” (2017) – Published in IEEE International Symposium on Performance Evaluation of Computer and Telecommunication Systems Cited by 35 articles.

“Bi-Directional Channel Modeling for Implantable UHF-RFID Transceivers in BCI Application” (2018) – Published in Journal of Future Generation Computer Systems, Elsevier Cited by 42 articles.

“Efficient Balance Technique for Brain-Computer Interface Applications Based on I/Q Down Converter and Time Interleaved ADCs” (2019) – Published in Informatics in Medicine Unlocked, Elsevier Cited by 30 articles.

“Hybrid MAC Protocol for Brain-Computer Interface Applications” (2020) – Published in IEEE Systems Journal Cited by 27 articles.

“Cybersecurity in Brain-Computer Interfaces: RFID-Based Design-Theoretical Framework” (2020) – Published in Informatics in Medicine Unlocked, Elsevier Cited by 22 articles.

Conclusion:

Shams Al Ajrawi stands out as a highly accomplished candidate for a “Best Researcher Award.” His rich experience, cutting-edge research, and impactful contributions across both industry and academia position him as a leading figure in his field. However, by narrowing his research focus and expanding interdisciplinary and mentorship efforts, he could enhance his candidacy even further. Overall, he appears highly suitable for the award.

Ainur Mukhanova | Engineering | Best Researcher Award