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.

Maksym Lazirko | Accounting Information Systems | Best Academic Researcher Award

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Prof. Maksym Lazirko | Accounting Information Systems | Best Academic Researcher Award

Rutgers University | United States

Prof. Maksym Orest Lazirko is an emerging scholar and academic professional specializing in Management Information Systems, Accounting Information Systems, and advanced technologies impacting modern business practices. With a multidisciplinary foundation spanning management, accounting, geological sciences, and quantum computing, he has developed a unique expertise that bridges technical innovation and business strategy. His academic and professional journey reflects a strong commitment to research, teaching, and technological transformation in accounting and audit domains. Prof. Lazirko actively engages in developing frameworks for blockchain applications, ESG (Environmental, Social, and Governance) reporting, quantum computing integration in accounting systems, and data-driven audit methodologies. His work emphasizes innovative approaches to automation, artificial intelligence, and emerging technologies that redefine corporate reporting and decision-making.

Professional Profiles

SCOPUS
ORCID

Education

Prof. Lazirko completed his undergraduate studies with a Bachelor of Science in Management of Information Systems and a minor in Geological Science. Building upon his academic foundation, he pursued advanced research as a Doctoral Candidate in Management with a concentration in Accounting Information Systems at Rutgers University, where he has made significant contributions under the mentorship of Dr. Miklos Vasarhelyi. His educational background reflects a blend of business management, technological innovation, and applied sciences, equipping him with the expertise to address interdisciplinary challenges in the digital and corporate ecosystem.

Experience

Prof. Lazirko has amassed extensive teaching, research, and industry-related experience across multiple roles, including instructor, research assistant, teaching assistant, and guest lecturer at Rutgers University. His teaching portfolio spans courses such as Audit Analytics, Managerial Accounting, Financial Accounting, Data Warehousing & Data Mining, Management Information Systems, and Advanced Design & Development of Information Systems. His instructional expertise integrates theory with cutting-edge technological tools, providing students with practical and forward-thinking insights into accounting and information systems. Beyond academia, he has held roles in child development and robotics education, aquatics, and geology-focused positions, where he honed his leadership, process improvement, and technical skills. His volunteering work as a leader and advisor at a nonprofit organization reflects his dedication to community service, operational support, and technological guidance.

Research Interests

Prof. Lazirko’s research interests focus on the convergence of emerging technologies and accounting systems. His primary areas include quantum computing applications in accounting, blockchain-based proof of reserves frameworks, ESG-focused corporate reporting methodologies, automation in audit processes, metaverse and augmented/virtual reality applications in information systems, and artificial intelligence integration for financial transparency. He has contributed to developing methodologies for monitoring and reporting Natech disasters for business continuity, advanced risk assessment in cryptocurrency markets, and innovative designs for academic advisory chatbots. His interdisciplinary approach aims to bridge gaps between technological potential and practical business needs in an evolving regulatory landscape.

Awards and Contributions

Prof. Lazirko has been recognized for his active participation in professional conferences, workshops, and peer review activities in the field of accounting and information systems. He has served as a moderator, discussant, and organizer at significant academic meetings, including AAA Mid-Year Meetings, Transformative Technology Workshops, and WCARS conferences. His contributions as a volunteer referee for leading journals such as The British Accounting Review, Accounting Horizons, and the Journal of Emerging Technologies in Accounting reflect his standing as a critical contributor to scholarly discourse and research development. Furthermore, his involvement in the creation of innovative educational platforms such as quantum computing courses for business students and virtual reality classrooms highlights his forward-thinking contributions to academic innovation.

Publications

Lazirko, M., Appelbaum, D., & Vasarhelyi, M. (2025). “Proof of Reserves: A Double-Helix Framework” in The British Accounting Review.

Lazirko, M. (2025). “The Quantum Dynamics of Cost Accounting: Investigating WIP via the Time-Independent Schrödinger Equation” in Journal of Decision Science and Optimization.

Lazirko, M., & Gates, A. (2025). “Unveiling Nature’s Fury: Natech Disasters for Business – A Continuous Monitoring & Reporting Framework” in Journal of Risk Research.

Conclusion

Prof. Maksym Orest Lazirko embodies the intersection of technology, research, and education, actively shaping the future of accounting and information systems. His work reflects a continuous pursuit of integrating next-generation technologies—quantum computing, blockchain, artificial intelligence, and immersive systems—into the financial and corporate sectors. Through his teaching, research, and community engagement, he promotes the advancement of sustainable, transparent, and innovative business practices. His ongoing efforts in developing cutting-edge frameworks and educational initiatives position him as a valuable thought leader in the fields of accounting innovation, digital transformation, and academic mentorship.

Muhammad Tamoor | Data Analysis | Best Researcher Award

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Dr. Muhammad Tamoor | Data Analysis | Best Researcher Award

Shenyang University of Technology | China

Dr. Muhammad Tamoor is a dedicated researcher and academic in the field of Chemical Engineering, with a strong focus on life cycle engineering, sustainability, and advanced computational methods. Currently serving as a Postdoctoral Researcher at Shenyang University of Technology, China, he has made notable contributions to the development of sustainable approaches in materials and energy systems. His academic career reflects a balanced blend of teaching, research, and leadership in international collaborations, positioning him as a promising scholar in sustainable development and green technologies.

Professional Profile

ORCID

Education

Dr. Tamoor earned his Ph.D. in Chemical Engineering from the University of Chinese Academy of Sciences, Beijing, with his research centered on life cycle analysis, biodegradation, and upcycling of plastics. His doctoral work emphasized strategy simulation and life cycle engineering as tools to address global challenges associated with plastic waste and circular economy solutions. Prior to his doctorate, he obtained a Master’s degree in Applied Mathematics from the University of Engineering and Technology, Taxila, where his research explored computational fluid dynamics and heat transfer phenomena. His interdisciplinary educational background, bridging chemical engineering with applied mathematics, provides him with a strong foundation in both theoretical modeling and applied sustainability research.

Experience

Professionally, Dr. Tamoor has held academic and research roles that highlight both his teaching abilities and his research acumen. He began his academic career as a Lecturer at COMSATS University Islamabad, Wah Campus, where he developed expertise in pedagogy and guided undergraduate students in engineering fundamentals. He has also contributed to professional training through specialized courses such as Object-Oriented Programming (C++), which he delivered at the Virtual University of Pakistan. Currently, he is engaged in a Postdoctoral position at Shenyang University of Technology, focusing on lifecycle assessment and techno-economic analysis of advanced concrete systems. His research and teaching experiences demonstrate his versatility and commitment to bridging theoretical knowledge with practical application.

Research Interest

Dr. Tamoor’s primary research interests revolve around sustainability, green process engineering, and life cycle assessment of industrial systems. He has actively contributed to projects examining geopolymer concrete, renewable energy infrastructures, and microbial biodegradation of plastics. His work also extends into computational domains, particularly computational fluid dynamics and population balance models, with applications in large-scale industrial processes such as bubble column reactors. In addition, he has acted as Guest Editor for the journals Frontiers in Manufacturing Technology and Frontiers in Sustainability, where he launched a special research topic on the role of life cycle engineering in developing a circular economy for plastics. His interdisciplinary focus reflects a strong vision for integrating environmental policy, techno-economic considerations, and innovative engineering solutions.

Awards

Throughout his career, Dr. Tamoor has been recognized for academic excellence and research achievements. He received the prestigious “Excellent International Graduate Award” from the Institute of Process Engineering, Chinese Academy of Sciences, acknowledging his outstanding scholarly contributions. He was also awarded the “Chinese Government Scholarship” by the Chinese Scholarship Council, reflecting his commitment to academic excellence at the international level. In addition, he has been honored by national initiatives in Pakistan, including recognition under the Prime Minister’s Laptop Scheme and certificates for participation in innovative research and computational sciences. These accolades highlight both his academic dedication and his potential as a global researcher in sustainability and engineering.

Publications

Tamoor, M., Xing, J. (2025). PET life cycle analysis development for environmental sustainability: global scenario. Environment, Development and Sustainability.

Tamoor, M., Samak, N.A., Xing, J. (2023). Life cycle assessment and policy for the improvement of net-zero emissions in China. Cleaner Engineering and Technology.

Tamoor, M., Samak, N.A., Xing, J. (2023). Pakistan toward Achieving Net-Zero Emissions: Policy and Roadmap. ACS Sustainable Chemistry & Engineering.

Tamoor, M., Samak, N.A., Yang, M., Xing, J. (2022). The Cradle-to-Cradle Life Cycle Assessment of Polyethylene terephthalate: Environmental Perspective. Molecules.

Tamoor, M., Kamran, M., Rehman, S., Farooq, A., Khan, R., Lee, J.R., Shin, D.Y. (2021). Modelling of Applied Magnetic Field and Thermal Radiations Due to the Stretching of Cylinder. Processes.

Conclusion

Dr. Muhammad Tamoor stands out as a dynamic and versatile researcher whose expertise bridges chemical engineering, sustainability, and computational modeling. His contributions to life cycle assessment, plastic biodegradation, renewable energy infrastructures, and sustainable concrete solutions reflect his commitment to addressing pressing global challenges. With his international research collaborations, editorial leadership, and recognized excellence in academia, Dr. Tamoor exemplifies the role of a modern scientist working toward sustainable technological advancements. His career trajectory indicates not only his capacity for innovation but also his dedication to nurturing interdisciplinary approaches for future generations of engineering and sustainability researchers.