GULDANA MAKASHEVA | Engineering and Technology | Research Hypothesis Excellence Award

GULDANA MAKASHEVA | Engineering and Technology | Research Hypothesis Excellence Award

Leading Research Scientist at LLP KazHydroMed, Kazakhstan

Mrs. Guldana Makasheva is a seasoned metallurgical researcher and Senior Research Scientist at LLP KazHydroMed, Kazakhstan. With over a decade of hands-on and theoretical experience across various roles in metallurgy, her expertise lies in flotation, hydrometallurgy, and the beneficiation of complex ores and industrial tailings. She is currently pursuing a Ph.D. in Metallurgy at Satbayev University and holds advanced degrees in Metallurgy and Organic Chemistry. Her career spans from laboratory chemist to lead engineer, demonstrating her adaptability and growth. Makasheva has authored numerous scientific publications in both national and international journals and has contributed to high-impact projects aimed at developing eco-friendly and efficient mineral processing technologies. Her research, marked by technical precision and practical relevance, has addressed pressing industrial challenges in Kazakhstan’s mining sector. With a strong foundation in hypothesis-driven experimentation, she exemplifies the principles celebrated by the Research Hypothesis Excellence Award.

Publication Profile

Orcid

Education

Mrs. Makasheva holds a Master’s degree in Technical Sciences with a specialization in Metallurgy and Mineral Processing from Satbayev University, one of Kazakhstan’s premier technical institutions. Her academic foundation began with a Bachelor’s in Chemistry of Organic Substances from Karaganda State University named after E.A. Buketov, where she gained solid grounding in analytical and synthetic chemistry. Continuing her academic journey, she is currently pursuing her Ph.D. in Metallurgy at Satbayev University (2023–present), focusing on advanced beneficiation techniques and processing of complex ore materials. Her academic background is complemented by specialized certifications, including a Certified PC User qualification and Accounting & 1C certification, highlighting her commitment to interdisciplinary skills. Her education has consistently supported her progression as a research leader in metallurgical science, emphasizing innovation, practical application, and publication in high-impact forums. 🎓📘🧪

Experience

Mrs. Guldana Makasheva’s professional trajectory reflects deep engagement with Kazakhstan’s metallurgical sector. Since 2021, she has served as a Senior Research Scientist at LLP KazHydroMed, where she designed cutting-edge research programs and executed pilot-scale tests in slag and ore processing. Earlier, as Lead Process Engineer at JSC “Zhairem GOK” (2020–2021), she worked on mineral flow diagrams and thickening technologies. At JSC “Varvarinskoye” (2011–2020), she ascended from Laboratory Chemist to Metallurgical Process Engineer, gaining end-to-end operational experience—from ore crushing to desorption and AAS/XRF analysis. Her earliest role was at the Institute of Organic Synthesis and Coal Chemistry, where she synthesized catalysts and conducted chromatographic studies. Each position honed her skills in technical reporting, pilot experiments, and project leadership, building a solid foundation for her present-day research excellence.

Awards and Honors

While specific national or international awards are not listed, Mrs. Guldana Makasheva’s consistent leadership in funded scientific projects and co-authorship of peer-reviewed publications signifies her recognition within the scientific community. Her appointment as Lead Investigator across multiple major projects—such as beneficiation of legacy tailings and development of flotation technologies—indicates institutional trust and high-level peer acknowledgment. She has also been a frequent contributor to SCOPUS-indexed and national journals, suggesting editorial confidence in her scientific rigor. As a Senior Research Scientist, she has been a key figure in government and industrial research initiatives, often coordinating multidisciplinary teams to address Kazakhstan’s critical metallurgical challenges. Her accolades are implicit in her elevation to senior scientific ranks and her pivotal roles in transformative projects. Her ongoing Ph.D. candidacy further reflects academic recognition and career progression.

Research Focus

Mrs. Makasheva’s research spans flotation chemistry, hydrometallurgical processing, ore beneficiation, and tailings revalorization. Her core investigations involve innovative techniques for processing refractory oxidized ores and polymetallic tailings, with special emphasis on flotation using hydroxamate-based collectors and gravity-flotation technologies. She has actively contributed to pilot testing for slag processing from metallurgical plants and has optimized concentrate thickening strategies. Her projects are critical to sustainable resource management, addressing legacy waste streams from major mining hubs like Balkhash and Zhezkazgan. Guldana also explores the oxidative-reductive potential in ore enrichment and thermochemical methods for improving flotation performance. Her current Ph.D. research likely intersects with these themes, pushing boundaries in extractive metallurgy. With a clear focus on bridging lab research with field applications, her work is both environmentally and economically transformative.

Publication Top Notes

Ebrahim Farrokh | Engineering and Technology | Best Researcher Award

Ebrahim Farrokh | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Ebrahim Farrokh, Amirkabir University of Technology, Iran

Assoc. Prof. Dr. Ebrahim Farrokh is a distinguished expert in rock mechanics and mining engineering, serving as the Head of Rock Mechanics and Mining Engineering at Amirkabir University of Technology. With a career spanning academia and industry, he specializes in tunnel boring machines (TBMs), underground excavation, and rock stability analysis. He has played a key role in major tunneling projects, providing expertise on TBM operations, rock fragmentation, and ground control. His research has led to numerous influential publications, advancing TBM performance prediction and tunnel design methodologies. Alongside his academic role, he consults for Tunnel Saz Machin Co. and has held managerial positions at Hyundai Engineering and Construction. Recognized with prestigious awards, including the Hardy Memorial Award and SME’s NAT Conference Scholarship, his contributions continue to shape the field of mining engineering. His work combines theoretical advancements with practical applications, ensuring safer and more efficient underground construction projects. 🚆💡

Publication Profile

Google Scholoar

Education

  • Ph.D. in Mining Engineering, Penn State University (2009-2012) 🏗️
    Dr. Farrokh earned his Ph.D. at Penn State University, focusing on TBM performance evaluation, advance rate prediction, and rock behavior analysis. His research contributed to innovative methodologies for assessing TBM cutter wear and ground stability.

  • M.Sc. in Mining Engineering, Tehran University (2001-2004) ⛏️
    During his master’s studies, he specialized in underground excavation, tunnel stability, and mine planning. His thesis examined rock fragmentation techniques and their applications in mechanized tunneling.

  • B.Sc. in Mining Engineering, Yazd University (1997-2001) 🌍
    He completed his undergraduate degree at Yazd University, gaining foundational knowledge in rock mechanics, mineral extraction, and geotechnical engineering. His early research explored TBM operational parameters and ground convergence in tunneling projects.

Experience

  • Associate Professor & Head, Rock Mechanics & Mining Engineering, Amirkabir University of Technology (2018-present) 🎓
    Leads research and academic initiatives in TBMs, tunnel stability, and underground mining.

  • Consultant, Tunnel Saz Machin Co. (2018-present) 🏗️
    Provides technical expertise in TBM operations, ground support, and excavation efficiency.

  • TBM Specialist & Manager, Hyundai Engineering & Construction (2013-2017) 🚜
    Managed TBM operations in major tunneling projects, optimizing performance and reducing downtime.

  • Research Assistant, Penn State University (2009-2012) 📊
    Conducted cutting-edge research on TBM cutter wear, penetration rate estimation, and tunnel convergence.

Awards and Honors 🏆

  • Outstanding Business Performance Award, Hyundai Engineering & Construction (2015) 🌟
    Recognized for leadership in TBM project execution and efficiency improvements.

  • Outstanding Research Award, Hyundai Engineering & Construction (2014, 2015) 🏅
    Awarded for contributions to TBM performance evaluation and geotechnical risk mitigation.

  • NAT Student Conference Scholarship Award, SME (2012) 🎓
    Acknowledged for excellence in mining engineering research and academic achievements.

  • Hardy Memorial Award, Penn State University (2010) 🏆
    Prestigious recognition for outstanding research contributions in mining and rock mechanics.

Research Focus

Dr. Farrokh’s research focuses on Tunnel Boring Machines (TBMs) 🚜, specializing in performance evaluation, advance rate prediction, and cutterhead design optimization. In Rock Mechanics 🏗️, he investigates rock properties, ground convergence, and stability assessment for underground projects. His work in Mining Engineering ⛏️ explores underground mining methods, rock fragmentation, and geotechnical risk analysis. By integrating theoretical advancements with real-world applications, Dr. Farrokh enhances the efficiency and safety of tunneling and mining operations. His research contributes to optimizing excavation processes, reducing operational risks, and advancing sustainable underground construction. 📊🔬

Publications Top Notes

  1. Tunnel Face Pressure Design and Control 📊 (2020)
  2. Concrete Segmental Lining: Procedure of Design, Production, and Erection of Segmental Lining in Mechanized Tunneling 📚 (2006)
  3. Study of Various Models for Estimation of Penetration Rate of Hard Rock TBMs 📊 (2012)
  4. Effect of Adverse Geological Conditions on TBM Operation in Ghomroud Tunnel Conveyance Project 🌎 (2009)
  5. Correlation of Tunnel Convergence with TBM Operational Parameters and Chip Size in the Ghomroud Tunnel, Iran 📊 (2008)
  6. A Discussion on Hard Rock TBM Cutter Wear and Cutterhead Intervention Interval Length Evaluation 💡 (2018)
  7. Evaluation of Ground Convergence and Squeezing Potential in the TBM-Driven Ghomroud Tunnel Project 🌎 (2006)
  8. Study of Utilization Factor and Advance Rate of Hard Rock TBMs 📊 (2013)
  9. A Study of Various Models Used in the Estimation of Advance Rates for Hard Rock TBMs 📊 (2020)
  10. Analysis of Unit Supporting Time and Support Installation Time for Open TBMs 🕒 (2020)

Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

Ali Othman Albaji | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Ali Othman Albaji, Libyan Authority for Scientific Research, Libya

With a Bachelor’s in Electrical Engineering and a Master’s in Electronics & Telecommunications from Universiti Teknologi Malaysia, this accomplished professional has extensive experience in academia and industry. Currently an Assistant Professor at the Higher College of Science and Technology in Libya, they also lead CR Technology System in the MENA region. Their research interests include optical wireless technologies and machine learning applications in environmental monitoring. Fluent in Arabic and English, with a diploma in Italian, they are also the President of the Postgraduate Student Society at UTM. 📡🎓🌍✍️

Publication profile

google scholar

Academic Background 

With a diverse academic journey, the individual holds a Master’s in Public Management and Leadership from the London School of Economics (LSE), UK, completed in 2010. They further pursued a Master in Electronics and Telecommunications at the University Technology Malaysia from 2019 to 2023. Their foundational education includes a Bachelor’s degree in Electrical Engineering, specializing in General Communications, from the Civil Aviation Higher College in Tripoli, Libya, earned in 2007. Additionally, they completed a Diploma in the Italian language during the 2011/2012 academic year. 🎓📡

Experience

Dr. Ali Othman Albaji boasts a diverse work history across reputable organizations. He started as a Sales Advisor at Akida Company (LG) and ZTE/Telecom China, honing his expertise in the telecommunications field. His academic journey includes significant roles as an Assistant Professor and lecturer in Electronics and Telecommunications. In addition to his teaching, he has demonstrated leadership as the Chairman of CR Technology System (CRTS Group) and the President of the Postgraduate Student Society at Universiti Teknologi Malaysia. Dr. Albaji’s commitment to both academia and industry underscores his dedication to advancing technology and education. 📡🎓💼🌟

Main Hard Skills 

Dr. Albaji possesses a robust set of technical skills, including proficiency in CAD Design, MATLAB Simulation Analysis, Python, and data visualization tools like Tableau. His capabilities extend to qualitative and quantitative analysis, SCADA systems, and programming languages like Verilog and HTML. These skills enable him to tackle complex research problems and contribute innovatively to his field. 

Languages 

Fluent in Arabic and English, with an IELTS Band Score of 8.5, Dr. Albaji also has a very good command of Italian. This linguistic proficiency allows him to collaborate with international researchers and disseminate his work to a broader audience. 

Research focus

Ali Othman Albaji’s research focus centers on machine learning applications in environmental noise classification, emphasizing smart cities and mobile communications. His work includes developing algorithms for monitoring and classifying noise pollution using MATLAB, contributing to urban planning and public health. He has also explored traffic noise impacts on residential areas and mobile telecommunications in Libya. His diverse research interests extend to the design and implementation of communication systems, highlighting the integration of technology in environmental studies. Through these contributions, Albaji aims to enhance noise management and promote sustainable urban environments. 🌍📊🔊📡

Publication top notes

Investigation on Machine Learning Approaches for Environmental Noise Classifications

A Machine Learning for Environmental Noise Monitoring and Classification Using Matlab

Machine Learning for Environmental Noise Classification in Smart Cities

Designing the Global System for Mobile Communications GSM-900 Cellular Network up to the Nominal Cell Plan in Tripoli, Libya

Conclusion and Recommendations

A Review of Traffic Highway Noise Towards Residential Area

NOISE POLLUTION DATA REPORTING AND WAREHOUSING USING TABLEAU SOFTWARE

Designing and Implementing a Signed Multiplier Radix-2 Using Booth’s Algorithm