Student at OUTR, india

Anuradha Rani Choudhury is a dedicated and aspiring researcher currently pursuing her Master of Technology at OUTR, Bhubaneswar, with an impressive CGPA of 9.20. She holds a Bachelor’s degree in Technology from ITER, Bhubaneswar, and has demonstrated strong technical acumen through impactful projects in machine learning, including sentiment analysis and disease prediction models, both achieving high accuracy. With certifications in machine learning, web development, and Android development, she exhibits a strong foundation in diverse technological domains. Anuradha has actively participated in seminars and workshops, showcasing her commitment to continuous learning. Her proficiency in programming languages such as Python, Java, and C, along with web technologies, complements her research skills. Additionally, her involvement in extracurricular activities like sports, NCC, and student leadership reflects a well-rounded personality. While she is at an early stage in her research journey, Anuradha shows promising potential for future contributions to the field of technology and applied sciences.

Professional Profile

🎓 Education of Anuradha Rani Choudhury

Anuradha Rani Choudhury has built a strong academic foundation in the field of technology and engineering. She is currently pursuing her Master of Technology (M.Tech) at Odisha University of Technology and Research (OUTR), Bhubaneswar, maintaining an excellent CGPA of 9.20 (2023–2025). She previously earned her Bachelor of Technology (B.Tech) from ITER, Bhubaneswar, graduating with a CGPA of 7.73 in 2022. Her earlier academic journey includes completing 12th grade (Science) from Stewart Science College, Cuttack under the CHSE Board, scoring 57.5%, and her 10th grade from D.A.V. Public School, Berhampur under the CBSE Board, where she achieved a commendable 83.6%. Her academic progression highlights her consistent dedication and growth in technical education.

💼 Professional Experience of Anuradha Rani Choudhury

Anuradha Rani Choudhury has gained valuable hands-on experience through academic projects and certified training programs in the fields of machine learning, data science, and software development. She successfully led a Sentiment Analysis project in 2024, where she implemented advanced models such as Naïve Bayes, Logistic Regression, SVM, and Neural Networks, achieving an outstanding . In 2023, she developed a Disease Prediction Model using patient physiological data, which delivered an impressive . Additionally, Anuradha has completed certification-based training in Machine Learning (Project Mantra), Web Development (Verzeo), and Android Development (Pixaflip Technologies). Her participation in workshops and seminars, along with her technical proficiency in languages like Python, Java, and SQL, further reflects her readiness for research and real-world problem-solving in the tech industry.

🔬 Research Interest of Anuradha Rani Choudhury

Anuradha Rani Choudhury’s research interests lie primarily in the dynamic fields of Machine Learning, Artificial Intelligence, and Data Science, with a strong inclination toward applying these technologies in healthcare and human-centered applications. She is passionate about exploring predictive modeling, sentiment analysis, and disease diagnosis systems that leverage advanced algorithms to generate actionable insights from complex data. Her academic projects reflect her enthusiasm for building intelligent systems capable of improving decision-making and automation. Anuradha is also interested in the integration of deep learning and neural networks to enhance model accuracy and efficiency. As she progresses in her academic and professional journey, she aims to contribute to impactful, real-world solutions through innovative and ethically grounded research in intelligent technologies.

🏅 Awards and Honors of Anuradha Rani Choudhury

Anuradha Rani Choudhury has been recognized for her diverse talents and active participation in both academic and extracurricular arenas. She earned the 2nd prize in poem writing at the Ganjam Kalaparishad in 2017, showcasing her creative expression and literary flair. In the same year, she also secured the 2nd prize in athletics at D.A.V. Public School, reflecting her athletic spirit and commitment to physical excellence. Additionally, she holds the prestigious NCC “A” Certificate (2013–2015), highlighting her discipline, leadership, and dedication to national service. These honors demonstrate her well-rounded personality, balancing academic rigor with artistic and physical achievements.

Conclusion

Anuradha Rani Choudhury is a promising emerging researcher with a solid academic background, project experience in machine learning, and proactive engagement in technical skill development. However, to be highly competitive for the Best Researcher Award, particularly at national or international levels, she would benefit from Publishing research papers. Involving in long-term, original research with measurable impact. Demonstrating broader research influence and leadership.

📚 Publications Top Noted

Title: Real-time Face Mask Detection in Nuclear Power Plants: A Deep Learning Framework Using Hybrid CNN-MobileNetV2 Architecture
Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra, S. Mohanty, S. Mishra
Year: 2025
Citation: 0
Published In: Intelligent Computing Techniques and Applications, pp. 87–91
Title: A Comparative Analysis of Deep Learning Techniques for Face Mask Detection System in Nuclear Power Plant
Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra
Year: 2025
Citation: 0
Published In: 2025 10th International Conference on Signal Processing and Communication
Title: Enhancing Lung Cancer Detection by Leveraging Machine Learning Algorithms
Authors: A.R. Choudhury, S.R. Panda, A.K. Mishra, J. Routray
Year: 2025
Citation: 0
Published In: 2025 10th International Conference on Signal Processing and Communication
Title: Deep Learning Based Automated Lung Cancer Detection from CT Scan Leveraging Transfer Learning
Authors: A.R. Choudhury, J. Rautray, P. Mishra, M. Kandpal, S.S. Dalai
Year: 2025
Citation: 0
Published In: Procedia Computer Science, Volume 258, Pages 2748–2759
Title: Face Mask Detection System for Safety Assurance in Nuclear Power Facilities from Harmful and Hazardous Substance Using Convolutional Neural Network and Image Processing
Authors: S.R. Panda, A.R. Choudhury, A.K. Mishra
Year: 2025
Citation: 0
Published In: International Journal of Computer Applications 975, 8887

Maksym Koghut | Computer Science and Artificial Intelligence | United Kingdom

Published on 07/07/202507/07/2025 by Research Hypothesis

Dr. Maksym Koghut | Computer Science and Artificial Intelligence | United Kingdom

Lecturer at Manchester Metropolitan University, United Kingdom

Dr. Maksym Koghut is an accomplished academic and researcher at Manchester Metropolitan University Business School, UK, with a robust interdisciplinary background spanning management, engineering, and financial sciences. He holds a PhD in Management from the University of Kent and has taught at several leading UK institutions, delivering modules in digital transformation, blockchain, strategy, and innovation. His research focuses on the strategic implications of digital technologies, inter-organisational trust, and AI in business contexts, with publications in high-quality journals and presentations at prominent international conferences. In addition to his academic credentials, Dr. Koghut brings substantial industry experience through leadership roles in multiple startups across the UK and Ukraine. He is a Fellow of the Higher Education Academy and has been recognized with several academic and teaching awards, reflecting his excellence in both research and pedagogy.

Professional Profile

🎓 Education of Dr. Maksym Koghut

Dr. Maksym Koghut has pursued a dynamic and interdisciplinary educational journey across the UK and Ukraine. He earned his PhD in Management from the University of Kent (2018–2021), where he developed a strong foundation in strategic management and digital transformation. Prior to that, he completed a BA (Hons) in Business Information Management at the University of Huddersfield (2014–2017), and a BA (Hons) in Financial Management from the Inter-Regional Academy of Personnel Management, Ukraine (2010–2012), highlighting his grounding in both information systems and finance. His academic path began with a BEng (Hons) in Mechanical Engineering from Cherkassy Engineering and Technological Institute, Ukraine (1995–2000), demonstrating a solid technical and analytical base. This unique combination of disciplines enhances his expertise in digital business, innovation, and organizational strategy.

💼 Professional Experience of Dr. Maksym Koghut

Dr. Maksym Koghut brings a wealth of professional experience that bridges academia and industry. He is currently a Lecturer at Manchester Metropolitan University Business School, where he leads and teaches postgraduate and degree apprenticeship modules focused on blockchain, digital transformation, and Industry 4.0. His previous academic roles include lecturing positions at Coventry University London, the University of Kent, and the University of Huddersfield, where he developed and led modules in strategic management, digital information systems, innovation, and entrepreneurship. Beyond academia, Dr. Koghut has a strong entrepreneurial background, having founded and directed several businesses in the UK and Ukraine, including Script Software Ltd (a robotics software company), MotorHood Platform Ltd, and other ventures in automotive services, photography, and industrial equipment. This dual experience in research and real-world business operations uniquely positions him as a thought leader in digital enterprise and innovation.

🔬 Research Interests of Dr. Maksym Koghut

Dr. Maksym Koghut’s research interests lie at the intersection of digital transformation and strategic management in modern business environments. He focuses on the strategic implications of emerging technologies such as blockchain, artificial intelligence, and augmented/extended reality (XR), especially in the context of inter-organisational relationships and digital enterprises. His work explores how social capital, trust, and innovation evolve in digitally networked ecosystems, offering insights into how organisations adapt and thrive amid rapid technological change. Dr. Koghut also investigates consumer behavior in digital settings, including mobile payment discontinuance and AI-generated advertising. His research is both conceptually grounded and practically relevant, contributing to academic scholarship and informing industry practices in the digital age.

🏆 Awards and Honors of Dr. Maksym Koghut

Dr. Maksym Koghut has been recognized multiple times for his outstanding contributions to both research and teaching. He received the “Above & Beyond Award” twice from Kent Business School in 2022 for excellence in teaching at both undergraduate and postgraduate levels. His academic journey has been supported by prestigious scholarships, including the Vice Chancellor’s Research Scholarship from the University of Kent in 2018 and the Vice Chancellor’s Scholarship for PhD Studies from Huddersfield Business School in 2017. Additionally, he was awarded the Strategic Planning Society Prize for being the Best Student in Strategy at Huddersfield Business School in 2017. These honors highlight Dr. Koghut’s consistent excellence, dedication, and impact in the academic and professional communities.

🏁 Conclusion

Dr. Maksym Koghut is a compelling and highly suitable candidate for the Best Researcher Award. He brings together a rich combination of academic excellence, cutting-edge research, teaching innovation, and industry engagement. His interdisciplinary expertise and consistent scholarly output in contemporary digital business themes position him as a thought leader in the digital transformation domain.

📚 Publications Top Noted

Title: A Blockchain-based Inter-organisational Relationships: Social and Innovation Implications
Authors: Maksym Koghut, Omar Al-Tabbaa, Soo Hee Lee, Martin Meyer
Year: 2021
Citation: Academy of Management Proceedings, 2021-08
Title: A Blockchain-based Inter-organisational Relationships: Social and Innovation Implications
Authors: Maksym Koghut, Omar Al-Tabbaa, Soo Hee Lee, Martin Meyer
Year: 2021
Citation: Academy of Management Proceedings, 2021-08
Title: The Effects of Autonomous Contracting on Inter-organisational Relationships: A Process Model of Trust, Social Capital and Value Co-creation
Authors: Maksym Koghut, Omar Al-Tabbaa, Soo Hee Lee, Martin Meyer
Year: 2020
Citation: British Academy of Management Annual Conference, 2020-09-04
Title: The Blockchain-Trust Nexus: A New Era for Inter-organizational Trust Meaning and Formation
Authors: Maksym Koghut, Omar Al-Tabbaa, Martin Meyer
Year: 2019
Citation: Academy of Management Proceedings, 2019-08
Title: Modelling Decentralised Collaboration Between Engineering Teams: A Blockchain-based Solution
Authors: Maksym Koghut, John Makokha
Year: 2018
Citation: VI International Scientific and Technical Conference, 2018-09-01

Denesh Sooriamoorthy | Engineering and Technology | Best Researcher Award

Published on 24/06/202524/06/2025 by Research Hypothesis

Dr. Denesh Sooriamoorthy | Engineering and Technology | Best Researcher Award

Senior Lecturer at Asia Pacific University of Technology & Innovation (APU), Malaysia

Ir. Ts. Dr. Denesh Sooriamoorthy is a dynamic early-career researcher and Senior Lecturer at the Asia Pacific University of Technology & Innovation (APU), Malaysia. With a Ph.D. in Engineering from the University of Nottingham, his research expertise spans electric vehicle battery systems, biomedical signal processing, artificial intelligence, and robotics. Despite having only three years of post-PhD experience, Dr. Denesh has already published over 25 Scopus-indexed papers—including five in Q1 journals—authored and edited academic books, and secured research funding exceeding RM775,000. He maintains an impressive citation record (h-index of 9 on Google Scholar and 8 on Scopus) and actively supervises multiple postgraduate students. His work bridges academia and industry through innovative projects and collaborative initiatives, reflecting a commitment to impactful, interdisciplinary research.

Professional Profile

🎓 Education of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy has a strong academic foundation rooted in engineering and education. He earned his Ph.D. in Engineering from the prestigious University of Nottingham in 2022, where he focused on cutting-edge research in biomedical systems and intelligent technologies. Prior to that, he completed his Master of Engineering (MEng Hons.) in Mechatronic Engineering, graduating with First Class Honours from the same university in 2016. To further enhance his academic and pedagogical skills, he obtained a Postgraduate Certificate in Teaching and Learning from Taylor’s University Malaysia in 2022. His academic journey reflects a commitment to both technical excellence and educational innovation.

💼 Professional Experience of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy has rapidly built a distinguished professional career in academia and research. He is currently serving as a Senior Lecturer at the Asia Pacific University of Technology & Innovation (APU) since September 2023, where he contributes to teaching, research, and postgraduate supervision. Prior to this role, he was a Lecturer and Work-Based Learning (WBL) Coordinator at Taylor’s University Malaysia from January 2021 to August 2023. In these roles, Dr. Denesh played a vital part in integrating industry-driven education models and advancing applied research initiatives. His experience also includes mentoring students, managing interdisciplinary projects, and fostering academic-industry partnerships—showcasing a strong blend of leadership, innovation, and academic excellence at an early stage of his career.

🔬 Research Interests of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy’s research interests lie at the intersection of engineering intelligence, biomedical systems, and sustainable technologies. He is particularly focused on electric vehicle battery management systems, with a specialization in state of charge estimation using machine learning and neural networks. His work also delves into biomedical signal processing, notably the use of electrical impedance models for non-invasive cardiovascular diagnostics. In addition, Dr. Denesh is actively engaged in robotics, artificial intelligence, and multi-agent systems, aiming to solve real-world problems through smart automation and predictive analytics. His interdisciplinary approach integrates AI, mechatronics, and embedded systems, driving innovations in healthcare, energy storage, and intelligent transportation.

🏆 Awards and Honors of Denesh Sooriamoorthy

Dr. Denesh Sooriamoorthy has garnered notable recognition for his impactful contributions to research and academia. While still in the early stages of his career, he has successfully secured multiple prestigious research grants totaling over RM775,000 from renowned bodies such as CREST, MRANTI, Katapult Asia, and APU RDIG, reflecting trust in his innovative capabilities and leadership potential. His publications in high-impact Q1 journals, coupled with active roles in book authorship and editorial contributions, further underscore his academic excellence. In addition, his appointment as Work-Based Learning (WBL) Coordinator at Taylor’s University highlights institutional acknowledgment of his educational leadership. These achievements position Dr. Denesh as a promising and respected figure in the engineering and research community.

🧾 Conclusion

Ir. Ts. Dr. Denesh Sooriamoorthy is highly suitable for the Best Researcher Award (Early-Career Category). His rapid research productivity, Q1 journal contributions, funding success, and graduate supervision demonstrate excellence in research, academic leadership, and industry engagement.

📚 Publications Top Noted

Title: Artificial Neural Networks, Gradient Boosting and Support Vector Machines for Electric Vehicle Battery State Estimation: A Review
Authors: A. Manoharan, K.M. Begam, V.R. Aparow, D. Sooriamoorthy
Year: 2022
Citations: 227
Title: Electric Vehicle Battery Pack State of Charge Estimation Using Parallel Artificial Neural Networks
Authors: A. Manoharan, D. Sooriamoorthy, K.M. Begam, V.R. Aparow
Year: 2023
Citations: 91
Title: A Novel Electrical Impedance Function to Estimate Central Aortic Blood Pressure Waveforms
Authors: D. Sooriamoorthy, S.A. Shanmugam, M.A. Juman
Year: 2021
Citations: 72
Title: A Study on the Effect of Electrical Parameters of Zero-Dimensional Cardiovascular System on Aortic Waveform
Authors: D. Sooriamoorthy, A.L.H. Wee, A. Shanmugam, K.J. Ghee, P.C. Ooi, M. Nafea
Year: 2020
Citations: 29
Title: A Study on Transfer Function to Estimate the Central Aortic Blood Pressure Waveform
Authors: B.V. Leonard, D. Sooriamoorthy
Year: 2023
Citations: 27
Title: Performance Analysis on Artificial Neural Network Based State of Charge Estimation for Electric Vehicles
Authors: M. Aaruththiran, K.M. Begam, V.R. Aparow, D. Sooriamoorthy
Year: 2021
Citations: 26
Title: Study on Artificial Neural Network Optimization for Electric Vehicle Battery State of Charge Estimation
Authors: A. Manoharan, K.M. Begam, D. Sooriamoorthy, V.R. Aparow
Year: 2023
Citations: 21
Title: A Homogeneous Meta-Learning LSTM-RNN Ensemble Method for Electric Vehicle Battery State of Charge Estimation
Authors: R.H. Wong, A. Manoharan, D. Sooriamoorthy, N.B. Sarif
Year: 2023
Citations: 21
Title: Multi-Agent Robot Motion Planning for Rendezvous Applications in a Mixed Environment with a Broadcast Event-Triggered Consensus Controller
Authors: N. Sariff, Z.H. Ismail, A.S.H.M. Yasir, D. Sooriamoorthy, P.N.A.F.S. Mahadzir
Year: 2023
Citations: 16
Title: Balancing Accuracy and Efficiency: A Homogeneous Ensemble Approach for Lithium-Ion Battery State of Charge Estimation in Electric Vehicles
Authors: R.H. Wong, D. Sooriamoorthy, A. Manoharan, N. Binti Sariff, Z. Hilmi Ismail
Year: 2024
Citations: 3

Ayman M. Ibrahim | Engineering and Technology | Best Academic Researcher Award

Published on 31/05/202531/05/2025 by Research Hypothesis

Ayman M. Ibrahim | Engineering and Technology | Best Academic Researcher Award

Dr Ayman M. Ibrahim, kunmining university of science and technology, China

Dr. Ayman M. Ibrahim is a distinguished mineral processing engineer and academic researcher known for his expertise in sustainable mining practices. Currently serving as an Assistant Professor at the University of Nyala and a Postdoctoral Researcher at Kunming University of Science and Technology in China, Dr. Ibrahim bridges the gap between academia and industry. Fluent in Arabic, English, and Chinese, he is also a part-time instructor at the University of Khartoum. His work focuses on enhancing mineral recovery methods and reducing the environmental footprint of mining operations. Dr. Ibrahim’s academic contributions are reflected in numerous SCI-indexed publications addressing flotation technologies, sulfidization mechanisms, and eco-friendly leaching techniques. With a commitment to innovation and community upliftment, he is also deeply involved in mentoring and guiding students. His multilingual capabilities, cross-continental collaborations, and industry-integrated teaching practices place him at the forefront of mineral engineering research globally.

Publication Profile

Scopus

Education

Dr. Ayman M. Ibrahim holds a Ph.D. in Mineral Processing Engineering from the Sudan Academy of Sciences, earned in June 2023, where he explored advanced flotation and sulfidization techniques. Prior to this, he completed his Master of Science in Mining Technology at Omdurman Islamic University in March 2017, gaining hands-on experience in ore beneficiation and sustainable mining solutions. His foundational education includes a Bachelor of Science in Mining Engineering from the same university, completed in June 2012, which established his strong engineering background. Throughout his academic journey, Dr. Ibrahim has maintained a research-oriented approach, actively publishing and participating in scientific discourse. Proficient in Arabic, English, and Chinese, his multilingual education enhances his collaborative research with institutions across Asia and Africa. His academic training has equipped him with the skills necessary for cutting-edge mineral resource management, sustainable development, and the formulation of environmentally responsible mining practices.

Experience

Dr. Ayman M. Ibrahim’s professional journey showcases a blend of academia, research, and field expertise. Since June 2023, he has held dual roles as an Assistant Professor at the University of Nyala and a Postdoctoral Researcher at Kunming University of Science and Technology, China. At Nyala, he teaches mineral engineering and engineering geology, mentors students, and bridges industry-academia through collaborative research. Simultaneously, his postdoctoral work in China focuses on cutting-edge mineral processing technologies and environmental impact reduction. Previously, he served as a Lecturer (2017–2018) and Teaching Assistant (2013–2015) at the University of Nyala. His core skills include data analysis, GIS, simulation software, academic publishing, and cross-functional collaboration. His leadership, teamwork, and communication abilities enable him to contribute meaningfully to global sustainability goals through innovative engineering solutions. Dr. Ibrahim’s experience reflects a strong commitment to advancing academic excellence, community impact, and technical innovation in mineral sciences.

Awards and Honors

While specific named awards are not listed in his profile, Dr. Ayman M. Ibrahim’s academic accomplishments and continuous progression into higher educational and research roles signify recognition of his exceptional capabilities. His current postdoctoral position at Kunming University of Science and Technology, one of China’s leading technical institutions, is a testament to his scholarly merit and international recognition. Moreover, his appointment as Assistant Professor at the University of Nyala and his selection as a master’s-level instructor at the University of Khartoum reflect institutional trust in his academic leadership. His ability to publish in SCI-indexed international journals and collaborate with cross-border experts in mineral processing is a notable achievement in itself. Furthermore, his inclusion in multiple collaborative projects involving cutting-edge surface chemistry, flotation technologies, and eco-friendly extraction techniques mark him as a rising figure in sustainable mineral engineering. His academic trajectory is decorated with milestones deserving formal recognition.

Research Focus

Dr. Ayman M. Ibrahim’s research is rooted in advanced mineral processing, with a particular focus on sustainable flotation techniques, sulfidization mechanisms, and eco-friendly leaching methods. He seeks to enhance copper recovery from complex ores like malachite using selective collectors and depressants, minimizing environmental impact. His recent research investigates synergistic reagents, such as DDTC and ammonium phosphate, to improve flotation efficiency while reducing the use of toxic materials. Through surface analysis techniques like XPS, FTIR, ToF-SIMS, and zeta potential measurements, Dr. Ibrahim elucidates the physicochemical interactions governing flotation and leaching. He also explores the optimization of leaching parameters (temperature, acid concentration, and particle size) to maximize recovery from Sudanese ore bodies. His work bridges academic theory with industrial needs, offering innovative and environmentally responsible solutions to mining challenges. His mission aligns with global sustainability goals, positioning him as a thought leader in the transformation of mineral engineering for the 21st century.

Publication Top Notes

“Improved activation of malachite sulfurization flotation by thiourea” – Colloids and Surfaces A, Oct 2024. 📄🔬
✅ Achieved 89% flotation recovery; introduced eco-friendly chemisorption pathway.
“Effect of DDTC and xanthate in malachite flotation” – Physicochemical Problems of Mineral Processing, Mar 2025. 📘⚗️
✅ Reached 93.15% recovery; collaborative reagents significantly outperformed traditional systems.
“Effect of Ammonium Sulfide on Malachite Flotation” – Minerals, Sep 2022. 🧪🌿
✅ Demonstrated superior performance of ammonium vs sodium sulfide.
“Ammonium phosphate’s role in malachite flotation” – Physicochemical Problems of Mineral Processing, Feb 2023. 🔍📈
✅ Enhanced stability and recovery through surface modification.
“Effect of pre-oxidation and PAAS on Cu-Pb separation” – Separation and Purification Technology, Sep 2022. 🧫💧
✅ Pre-oxidation improved galena depression, replacing toxic agents.
“Lead ions affecting CLS adsorption on chalcopyrite” – Journal of Molecular Liquids, Feb 2023. ⚛️🧲
✅ Revealed challenges in selectivity of Cu-Pb separation due to lead interference.
“Cu-S separation using PAAS in acidic pulp” – Minerals Engineering, Sep 2022. ⚙️🧪
✅ Selective flotation achieved at low pH, improving pyrite hydrophilicity.
“Enhanced Malachite Leaching from Jebel Hadieda” – Conclusions in Engineering, May 2025. 🔬🌍
✅ 88.15% extraction achieved under optimized leaching conditions.

GULDANA MAKASHEVA | Engineering and Technology | Research Hypothesis Excellence Award

Published on 30/05/202530/05/2025 by Research Hypothesis

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

Study of Oxidative–Reductive Potential Changes in the Enrichment of Oxidized Polymetallic Ores

Improving the Efficiency of Flotation Enrichment of Oxidized Lead-Zinc Ores Using Calcium Polysulfide

Study of Oxidative-Reductive Potential Changes in the Enrichment of Oxidized Polymetallic Ores

HYDROMETALLURGICAL PROCESSING OF MOLYBDENUM MIDDLINGS FROM SHATYRKUL-ZHAYSAN CLUSTER ORE,HIDROMETALURŠKA PRERADA SRASLAKA MOLIBDENA IZ RUDE ŠATIRKUL-ŽAJSAN KLASTERA

STUDIES ON EXTRACTION OF COPPER FROM SULFURIC ACID SOLUTION AFTER THERMOCHEMICAL ENRICHMENT OF ROUGH CONCENTRATE

Electrocatalytic reduction of quinoline and its oxy derivatives

borjini naceur | Engineering and Technology | Best Researcher Award

Published on 15/05/202515/05/2025 by Research Hypothesis

borjini naceur | Engineering and Technology | Best Researcher Award

Prof. Dr borjini naceur, enim, Tunisia

Prof. Dr. Mohamed Naceur Borjini is a distinguished physicist with over two decades of academic and research excellence in thermal sciences, fluid dynamics, and energy systems. Currently serving as Professor of Physics at the National School of Engineering (ENIM), Monastir, Tunisia, he has held various academic posts across Tunisia’s leading scientific institutions. With a Hirsch Index of 28 (Scopus), his prolific contributions span advanced modeling in microfluidics, biomass gasification, and radiative heat transfer. An expert in numerical simulations using Comsol, Ansys Fluent, and Aspen Plus, Dr. Borjini bridges theoretical research and applied engineering. He actively serves as a reviewer for prestigious journals such as Energy, Numerical Heat Transfer, and International Journal of Thermal Sciences. His global collaborations, high-impact publications, and commitment to scientific advancement make him a prominent figure in thermal-fluid sciences and a suitable recipient of the Best Researcher Award.

Publication Profile

Scopus

Education

Prof. Dr. Borjini’s academic journey is rooted in rigorous training across Europe and North Africa. He earned his HDR (Habilitation à Diriger des Recherches) in Physics Sciences from the Faculty of Sciences, Tunis, Tunisia, in 2007, signifying his high-level research leadership. In 1998, he received his Doctorate in Engineering Sciences from the Faculty of Sciences, Perpignan, France. Prior to that, he completed a Master’s degree in Thermal Sciences at INSAT Lyon, France, in 1995, demonstrating a strong foundation in heat transfer and energy systems. His academic path began with an Engineering Diploma in Energy Engineering from ENIM, Monastir, Tunisia, in 1994. This diverse and international academic background equipped him with a robust interdisciplinary skill set, allowing him to excel in numerical modeling, fluid mechanics, and thermal system design.

Experience

Prof. Dr. Borjini has served in academia for over 25 years, holding progressively senior roles. Since 2014, he has been a Professor of Physics at the National School of Engineering (ENIM), Monastir. Prior to this, he held faculty positions at the High Institute of Applied Sciences and Technologies of Sousse (ISSATS) from 2009 to 2014, first as an Associate Professor and then as a full Professor. Between 2001 and 2009, he was affiliated with the Faculty of Sciences, Monastir, and the High School of Sciences and Technologies, Tunis. His early academic career began as an Assistant Professor at the Faculty of Sciences, Monastir. Across these institutions, he has led research initiatives, mentored graduate students, and contributed to curriculum development in physics and engineering. His experience spans teaching, research leadership, and collaborative engineering projects in energy systems and fluid dynamics.

Awards and Honors

While explicit awards are not listed in the provided data, Prof. Dr. Borjini’s academic standing is underscored by his H-index of 28 (Scopus), a testament to the sustained citation and impact of his scholarly work. His regular role as a scientific reviewer for renowned international journals such as Applied Mathematical Modelling, Energy, International Journal of Heat and Mass Transfer, and Journal of Electrostatics further signifies the academic community’s recognition of his expertise. The diversity and prestige of these journals suggest a consistent contribution to peer-reviewed literature in thermal and fluid sciences. His extensive publication record and participation in global collaborations mark him as an influential voice in his field, and his HDR qualification is itself a mark of high academic distinction in the French-speaking academic world. These credentials collectively justify his consideration for prestigious recognitions such as the Best Researcher Award.

Research Focus

Prof. Dr. Borjini’s research centers on thermal-fluid sciences, with specialization in the numerical modeling of complex heat and fluid flow systems. His primary areas of interest include microfluidics, where he employs Comsol Multiphysics for 3D simulations; biomass gasification, involving experimental and CFD-based analyses of multi-stage and fluidized bed reactors using Ansys Fluent and Aspen Plus; and radiative heat transfer, focusing on semitransparent media and methods like FVM and FTnFVM. He has also delved into natural convection and nanofluids, particularly in confined 2D/3D systems, and studied the interaction of magnetic fields and radiation in combined convection problems. His exploration of double diffusive convection and electroconvection in dielectric fluids highlights his wide-ranging applications in sustainable energy and process optimization. Through advanced modeling techniques and cross-platform simulations, he addresses critical challenges in energy engineering, making significant contributions to renewable energy and thermal system design.