Sara Franzi | Biology Transplantology | Women Researcher Award

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Dr. Sara Franzi | Biology Transplantology | Women Researcher Award

Researcher | Policlinico of Milan | Italy

Dr. Sara Franzi is a Researcher at the IRCCS Ca’ Granda Ospedale Maggiore Policlinico in Milan, specializing in transplantation biology and biomedical research. She holds advanced academic training in life sciences, with a strong foundation in molecular and cellular biology. Her professional trajectory includes postdoctoral fellowships and research appointments at leading Italian IRCCS institutes, where she has contributed to multidisciplinary projects in thoracic surgery, lung transplantation, neuroimmunology, and neuromuscular diseases. Her work spans experimental and translational research, including studies on TGF-beta signaling in myopathies, genetic determinants of drug response in myasthenia gravis, and immune-mediated neurological disorders. She has demonstrated leadership in coordinating research initiatives and contributes to scientific dissemination as a medical writer and reviewer for peer-reviewed journals. Dr. Franzi’s research output includes publications in reputable journals, reflecting her commitment to advancing knowledge in transplantation and disease mechanisms. Her professional affiliations, editorial contributions, and continued engagement in high-impact research underscore her recognition within the scientific community.

Citation Metrics (Google Scholar)

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Top 5 Featured Publications

 

Deinsam Ogan | Earth and Planetary Sciences | Frontier Researcher Award

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Mr. Deinsam Ogan | Earth and Planetary Sciences | Frontier Researcher Award

Lecturer & Project Manager | University of Wolverhampton | United Kingdom

Mr. Deinsam Ogan is a researcher, lecturer, and research project manager in the science and engineering domain, currently contributing to research development and postgraduate research capacity building within a UK academic environment, with expertise spanning environmental geology, mining health, safety and environmental systems, sustainability, and circular economy research. He holds advanced academic training in mining health, safety, and environmental studies, with specialization in small-scale gold mining systems, environmental impact analysis, and risk mitigation frameworks. His professional experience includes leading and managing multidisciplinary research projects, contributing to funded research initiatives on sustainability and mining-related environmental challenges, and supporting curriculum and module development in the built and environmental disciplines. He has held technical and leadership roles within national and international research, regulatory, and development-focused committees, contributing to geological research, environmental reporting, and policy-oriented technical documentation. His research focus centers on sustainable mining practices, environmental risk management, and applied geological research, with peer-recognized scholarly outputs evidenced by citations and research visibility. He has contributed to academic service through research committees, mentoring, and collaborative initiatives, demonstrating strong potential for continued research impact and leadership.

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Ishfaq Majeed Malik | Parasitology and Nematology | Young Scientist Award

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Dr. Ishfaq Majeed Malik | Parasitology and Nematology | Young Scientist Award

Contractual Assistant Professor | Ghandi Memorial College Srinagar | India

Dr. Ishfaq Majeed Malik is an active and steadily progressing researcher with a clear scholarly footprint, evidenced by 12 research documents that have attracted 52 citations from 47 citing works and an h-index of 4, indicating growing academic visibility and impact. The author’s primary strengths lie in consistent research output, relevance of research themes, and the ability to generate findings that are being acknowledged and utilized by the research community. The work reflects sound methodological approaches, clarity in problem formulation, and a commitment to advancing knowledge within the chosen research domain. These contributions demonstrate reliability, focus, and an emerging influence that supports consideration for research-based recognition. Areas for improvement include increasing the scale and diversity of research collaborations, targeting a wider range of high-impact publication venues, and strengthening interdisciplinary integration to broaden the reach and applicability of the work. Future potential is strong, with clear scope for enhanced citation impact, leadership in thematic research areas, and the development of innovative research directions. With sustained productivity, strategic collaborations, and expanded dissemination, the author is well positioned to significantly elevate research influence and make long-term contributions of high academic and societal value.

Citation Metrics (Google Scholar)

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Top 5 Featured Publications

Samiha Chaguetmi | Materials Science | Research Excellence Award

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Prof. Samiha Chaguetmi | Materials Science | Research Excellence Award

Professor | University of Skikda | Algeria

Prof. Samiha Chaguetmi, a Professor in the Physics Department at Skikda University in Algeria, is an expert in materials science with a specialization in semiconductor and metallic materials, thin films, and photoactive nanostructures. She holds advanced degrees in materials sciences and semiconductor physics, culminating in a doctoral qualification and subsequent habilitation focused on innovative material systems. Throughout her academic career, she has served as an assistant, lecturer, and senior academic, contributing extensively to teaching in areas such as structural analysis of materials, atomic physics, photovoltaic systems, and characterization methods. Her professional experience spans leadership in laboratory training programs, participation in international research collaborations, and active engagement in multidisciplinary projects involving hydrothermal synthesis, sol-gel processes, chemical bath deposition, magnetron sputtering, electrochemical methods, and advanced thin-film technologies. Prof. Chaguetmi’s research centers on photocatalysis, photo-electrochemical water splitting, and the development of nanostructured materials for energy and environmental applications, supported by expertise in SEM, TEM, XRD, FTIR, Raman spectroscopy, XPS, UV-VIS-DR spectrophotometry, and electrochemical impedance spectroscopy. She has contributed numerous publications to peer-reviewed journals and participated in scientific dissemination through conferences and collaborative programs across prominent international laboratories. Her achievements include recognition through a Research Excellence Award, alongside roles in academic service, mentoring, and scientific review activities. Prof. Chaguetmi is also engaged in professional development through repeated training missions in leading global research institutions, reinforcing her standing as a committed scholar whose work advances the understanding and application of functional materials for sustainable technologies.

Profiles: Scopus | ORCID

Featured Publications

1. Chaperman, L., Chaguetmi, S., Deng, B., Gam-Derrouich, S., Nowak, S., Mammeri, F., & Ammar, S. (2024). Novel synthesis route of plasmonic CuS quantum dots as efficient co-catalysts to TiO₂/Ti for light-assisted water splitting. Nanomaterials, 14(19), 1581.

2. Sobti, N., Chaguetmi, S., Amiour, L., Aouabdia, Y., & Saci, L. (2024). Photocatalytic properties of Mn₂O₃ nanoparticles synthesized via green chemistry method. Journal of Renewable Energies, 28(1).

3. Sobti, N., Chaguetmi, S., Achour, S., Gam-Derouich, S., Decorse, P., Nowak, S., & Ammar, S. (2024). Photoelectrochemical properties of TiO₂ nanofibers coated by copper oxide nanoparticles using sputtering and chemical bath deposition. Journal of Materials Science.

4. Momoli, R., Gandin, A., Ruffo, R., Chaguetmi, S., Mammeri, F., Abbotto, A., Manfredi, N., & Brusatin, G. (2021). Low dye content efficient dye-sensitized solar cells using carbon doped-titania paste from convenient green synthetic process. Inorganica Chimica Acta.

5. Sobti, N., Chaguetmi, S., Achour, S., Chaperman, L., Mammeri, F., & Ammar-Merah, S. (2021). Manganese oxide nanoparticles prepared by olive leaf extract-mediated wet chemistry and their supercapacitor properties. Solid State Sciences.

Prof. Samiha Chaguetmi envisions advancing the field of materials science through innovative research that drives sustainable energy solutions and strengthens the scientific understanding of functional nanomaterials. Her vision focuses on developing high-performance photocatalytic and photoelectrochemical systems, promoting environmentally responsible synthesis routes, and expanding collaborative research networks that bridge local and international scientific communities. She aims to contribute impactful knowledge, mentor future scientists, and support the development of advanced technologies that address global energy and environmental challenges.

Hatem Belhouchet | Operational Research | Best Researcher Award

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Mr. Hatem Belhouchet | Operational Research | Best Researcher Award

University Polytechnic Hauts-De-France | France

Mr. Hatem Belhouchet is a physical education and sports science specialist serving as Head of Application Assessment within an engineering-focused academic program in France, recognized for his extensive experience in teaching, coaching, and high-performance sport management. He holds advanced qualifications in physical education and sports science, supported by professional certifications in football coaching, video analysis, and physical activity instruction, which strengthen his multidisciplinary expertise. His career encompasses leadership roles as a physical education instructor across diverse educational and clinical environments, along with substantial international coaching experience as a football manager and technical director in multiple countries, where he consistently contributed to team development, competitive advancement, and strategic performance optimization. His work in training and capacity building includes delivering professional development programs for coaches and journalists on decision-making, technical analysis, and football regulations. As a researcher, he has contributed to scholarly discourse through publications addressing multi-criteria decision-making in sport, sustainability assessment, and psychometric validation in healthcare, with conference contributions further extending his academic reach. His achievements include recognized coaching successes, advancement of youth and professional teams, and the attainment of elite coaching licensure, alongside service contributions that demonstrate leadership, methodological rigor, and a commitment to improving decision-support practices in sport and education. This combination of academic work, applied expertise, international coaching accomplishments, and ongoing research positions him as a distinguished candidate for recognition.

Profiles:  Scopus

Featured Publications

1. Belhouchet, H., et al. (2025). MOORA-based assessment of educational sustainability performance in EU-27 countries: Comparing pre-pandemic (2017–2019) and pandemic-affected (2020–2022) periods. Sustainability.

Mr. Hatem Belhouchet’s work advances evidence-based decision-making in sport and education by integrating analytical methods, performance science, and applied coaching practices. His contributions support stronger institutional decision frameworks, enhance athlete and learner outcomes, and promote innovative, data-driven approaches that positively influence both professional practice and broader societal well-being.

Feyera Gemeda | Infectious Diseases | Outstanding Scientist Award

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Assoc. Prof. Dr. Feyera Gemeda | Infectious Diseases | Outstanding Scientist Award

Associate Professor | Dima Jimma university | Ethiopia

Assoc. Prof. Dr. Feyera Gemeda Dima is a distinguished researcher and academic with extensive experience in Infectious Diseases, Medical Mycology, and Medicine. He has demonstrated excellence in teaching, research, and mentorship at both national and international levels, fostering the development of students and early-career researchers. His work emphasizes innovation in scientific research, editorial contributions, and leadership in grant assessment and curriculum development. He has contributed significantly to global collaborations and serves as a Chief Scientist and Global Assessor, reflecting his commitment to advancing scientific knowledge. His research focuses on improving understanding and management of infectious diseases, with the potential to influence public health strategies. Prof. Gemeda’s dedication to integrating innovative approaches and interdisciplinary perspectives underscores his capacity for impactful contributions in the field.

Profile:  Google Scholar

Featured Publications

1. T. Gizaw and F. G. Dima, “Assessment of problems and constraints associated with artificial insemination service in the two selected districts of Arsi zone,” Journal of Harmonized Research in Medical and Health Sciences, vol. 3, no. 1, pp. 14–37, 2016.

2. A. Edao, F. G. Dima, and F. B. Deressa, “Prevalence of bovine cysticercosis and status of human taeniasis in and around Asella town, Tiyoworeda, south east Ethiopia,” Glob J Med Res, vol. 16, pp. 18–26, 2016.

3. F. Gemeda, “Prevalence of bovine Trypanosomosis in and around Nekemte areas, east Wollega zone, Ethiopia,” Open Access Library Journal, vol. 2, no. 05, p. 1, 2015.

4. D. T. Legesse and F. Gemeda, “Comparison of two parasitological tests and post mortem examination to detect prevalence of bovine fasciolosis at Ambo Town Municipal Abattoir, West Shewa Zone, Ethiopia,” Open Access Library Journal, vol. 2, no. 8, pp. 1–5, 2015.

5. F. G. Dima and T. Fikedu, “Review on infectious bovine keratoconjunctivitis,” J Bacteriol Infect Dis, vol. 4, no. 4, pp. 1–6, 2021.

Dr. Gemeda’s work advances the understanding and control of infectious diseases, providing evidence-driven insights that strengthen public health systems and guide global disease management strategies.

Sani Inuwa Sani | Climatology and Remote Sensing | Best Researcher Award

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Mr. Sani Inuwa Sani | Climatology and Remote Sensing | Best Researcher Award

Sani Inuwa Sani | Usmanu Danfodiyo University Sokoto | Nigeria

Mr. Sani Inuwa Sani is an Assistant Lecturer in the Department of Geography at Sa’adatu Rimi University of Education, Kano State, Nigeria, with expertise in Geospatial Science, Remote Sensing, and Environmental Management. He holds advanced academic qualifications in Geoscience, Education, and Geography, reflecting a strong interdisciplinary foundation that bridges environmental analysis, spatial modeling, and sustainable development. His professional experience includes teaching and mentoring students in physical geography courses such as Geomorphology, Climatology, Hydrology, and Geographic Information Systems, while also serving in key departmental leadership roles including Secretary of the Research, Seminar, and Publication Committee, Patron of the Geography Students Association, and GIS Laboratory Technician. His research focuses on climate change assessment, geospatial analysis, and environmental monitoring, with published works in reputable international journals on topics such as coastal hydrological change detection, spatio-temporal land use dynamics, and water resource management using machine learning and remote sensing techniques. Mr. Sani’s scholarly contributions demonstrate innovation and dedication to advancing sustainable environmental practices. He has participated in international conferences, training workshops on Earth observation, and is an active member of professional bodies such as the Association of Nigerian Geographers and the Tourism Peace Association of Nigeria. Through his academic excellence, leadership, and collaborative research efforts, he continues to contribute meaningfully to the development of environmental science and geospatial technology, making him a deserving candidate for recognition and academic distinction.

Profiles: ORCID

Featured Publications

1. Sani, I. S., Manurung, P., & Fagge, A. U. (2025). NDWI–NDBI overlay–based analysis of coastal fence expansion and hydrological changes in Victoria Island, Lagos, Nigeria (2010–2015), with machine learning validation. Remote Sensing for Sustainable Oceans, 00(00), 1–12.

2. Garniwa, P. M. P., Azzahra, R. O., Lee, H., Aditya, I. A., Dimyati, R. D., Sani, I. S., Ramlah, R., Garniwa, I., Sri Sumantyo, J. T., & Dimyati, M. (2025). Comparison of semi-empirical models in estimating global horizontal irradiance for South Korea and Indonesia. Resources, 14(11), 170.

3. Garniwa, P. M. P., Azzahra, R. O., Lee, H., Aditya, I. A., Dimyati, R. D., Sani, I. S., Ramlah, R., Garniwa, I., Sri Sumantyo, J. T., & Dimyati, M. (2025). Comparison of semi-empirical models in estimating global horizontal irradiance for South Korea and Indonesia [Preprint]. Preprints.

Mr. Sani Inuwa Sani’s work advances the use of geospatial technology and remote sensing in addressing environmental and climate challenges. His research contributes to sustainable land and water resource management, supports evidence-based policy development, and fosters innovation in environmental monitoring for societal and global benefit.

Huan Zhang | Econometrics and Finance | Best Researcher Award

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Ms. Huan Zhang | Econometrics and Finance | Best Researcher Award

Associate Professor | Guangdong Ocean University | China

Ms. Huan Zhang is an accomplished associate professor specializing in tourism, cultural creativity, and communication studies. She has a strong academic background, holding advanced degrees in economics and labor studies, and is completing her doctoral studies in tourism and hospitality management. Over her career, she has led multiple research projects at national, provincial, and university levels, demonstrating leadership and an ability to translate research into practical impact. Her work has been recognized both academically and publicly, with reports adopted by local authorities and online courses featured on national platforms. She has published a monograph and several papers in SSCI, CSSCI, and core journals, reflecting a consistent research trajectory. Ms. Zhang also excels in mentoring students, guiding them to achieve national and provincial awards. According to Scopus, her measurable research impact includes 3 documents, 3 citations, and an h-index of 1, showcasing her growing influence in her field, with total citations at 33.

Profiles: Scopus | ORCID

Featured Publications

1. Mei, D., & Zhang, H. (2025). Impact of global tensions on commodity futures from a geopolitical risk perspective. Finance Research Letters. https://doi.org/10.1016/j.frl.2025.108605

2. Khalil, M. L., Abd Aziz, N., Long, F., & Zhang, H. (2023). What factors affect firm performance in the hotel industry post-Covid-19 pandemic? Examining the impacts of big data analytics capability, organizational agility and innovation. Journal of Open Innovation: Technology, Market, and Complexity. https://doi.org/10.1016/j.joitmc.2023.100081

Dr. Amir Hossein Poursaeed | Engineering | Best Researcher Award

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Dr. Amir Hossein Poursaeed | Engineering | Best Researcher Award

Phd Candidate at University of Exeter, United Kingdom

Amir Hossein Poursaeed is an accomplished researcher in electrical engineering with a specialization in power systems, machine learning applications, and renewable energy integration. Holding a Master’s degree from Lorestan University, he has developed a strong academic foundation complemented by an exceptional research portfolio. His work focuses on power system protection, stability, and optimization using advanced AI techniques such as explainable deep learning and quantum neural networks. With over 17 peer-reviewed journal publications, many in Q1 journals, and multiple IEEE conference contributions, his research demonstrates both depth and innovation. He collaborates with leading academics internationally and has contributed to interdisciplinary studies in environmental modeling and water resource management. Amir’s commitment to cutting-edge research in inverter-based power grids, fault diagnosis, and energy systems places him among the promising young scholars in the field. His achievements reflect a rare blend of technical expertise, research leadership, and forward-looking vision essential for shaping the future of smart grids.

Professional Profile 

Google Scholar
ORCID Profile 

Education

Amir Hossein Poursaeed has a solid educational background in electrical engineering with a focus on power systems. He earned his Master of Science degree from Lorestan University, Iran, where he specialized in Digital Power System Protection and Power System Dynamics. His M.Sc. thesis, supervised by Professor Farhad Namdari, focused on using Support Vector Machines for wide-area protection against voltage and transient instabilities. He previously obtained his Bachelor of Science in Electrical Engineering from the same university, where he explored the optimal placement of phasor measurement units using metaheuristic algorithms. His academic performance was commendable, with a GPA of 18.87/20 in his M.Sc. program, demonstrating both technical strength and research capability. Throughout his education, he consistently focused on high-voltage systems, optimization, and smart grid technologies, laying the foundation for his research in AI-based power system protection and stability. His educational journey highlights a continuous commitment to excellence and innovation in energy systems.

Professional Experience

Amir Hossein Poursaeed has developed a robust professional profile centered around advanced power system research and academic collaboration. While specific institutional roles aren’t explicitly mentioned, his extensive list of high-impact publications indicates active involvement in collaborative research projects, particularly with institutions such as Lorestan University and international partners. He has co-authored multiple studies with recognized scholars, including Professor Farhad Namdari and Dr. P.A. Crossley, highlighting his integration into the global research community. His contributions include the design of advanced fault detection systems, AI-driven stability analysis tools, and renewable energy integration models. Additionally, his work in inter-turn fault diagnosis and real-time system protection showcases applied engineering skills with a focus on practical solutions for modern grid challenges. His experience spans theoretical research, model development, and algorithm implementation in live or simulated systems, establishing him as a well-rounded researcher in academia and an emerging leader in AI-enabled power engineering technologies.

Research Interest

Amir Hossein Poursaeed’s research interests are rooted in the intersection of electrical power systems and artificial intelligence. His primary focus includes power system stability, digital protection systems, fault detection, and the integration of renewable energy sources. He is especially passionate about leveraging advanced machine learning and explainable AI techniques for enhancing grid reliability and system monitoring. His recent work involves deep learning, support vector machines, and quantum neural networks applied to inverter-based power systems and DC microgrids—fields gaining global relevance due to the rise of decentralized energy systems. Optimization algorithms, transient analysis, and wide-area protection schemes are other key domains of his expertise. He also extends his knowledge into environmental systems, working on AI-based models for water quality assessment. This multidisciplinary approach underlines his goal of developing intelligent, robust, and real-time frameworks for smart grid operations, making his research both innovative and impactful in addressing contemporary and future challenges in energy systems.

Award and Honor

Although specific awards and honors are not listed, Amir Hossein Poursaeed’s academic and research accomplishments position him as a candidate deserving of high recognition. His publication record in prestigious Q1 journals, such as Applied Soft Computing, Energy Reports, and Sustainable Energy Technologies and Assessments, reflects scholarly excellence. His papers have introduced novel contributions to power system protection and AI-based monitoring, often co-authored with leading international experts—an indication of his growing reputation in the field. His research has also been accepted at major IEEE conferences, including the International Universities Power Engineering Conference and the International Conference on Electric Power and Energy Conversion Systems, which highlights peer recognition of his work. Moreover, his interdisciplinary research in water resource management using machine learning models demonstrates his versatility and impact beyond core power engineering. Given these achievements, he is highly deserving of academic awards, particularly those that celebrate emerging researchers and innovators in smart energy systems.

Conclusion

Amir Hossein Poursaeed is an emerging thought leader in the field of power systems and intelligent energy technologies. With a strong educational background and a research focus on AI-driven solutions for grid stability and protection, he has consistently demonstrated excellence in both theoretical innovation and practical application. His contributions span power engineering, machine learning, and even environmental sciences—showcasing his ability to bridge disciplines for impactful solutions. Through numerous high-impact publications and international conference engagements, he has established himself as a respected voice in the global research community. His work addresses critical challenges in inverter-based grids, renewable integration, and real-time monitoring, aligning perfectly with the global shift toward sustainable and resilient energy systems. Amir’s trajectory reflects not only technical brilliance but also research leadership, collaboration, and a vision for smarter, safer, and more efficient power systems. He is undoubtedly a strong candidate for honors such as the Best Researcher Award.

Publications Top Notes

  • Title: An Ultra-Fast Directional Protection Scheme for DC Microgrids Based on High-Order Synchrosqueezing Transform
    Authors: A.H. Poursaeed, F. Namdari
    Year: 2023
    Citations: 7

  • Title: Online Transient Stability Assessment Implementing the Weighted Least-Square Support Vector Machine with the Consideration of Protection Relays
    Authors: A.H. Poursaeed, F. Namdari
    Year: 2025
    Citations: 6

  • Title: A New Strategy for Prediction of Water Qualitative and Quantitative Parameters by Deep Learning-Based Models with Determination of Modelling Uncertainties
    Authors: M. Poursaeid, A.H. Poursaeed
    Year: 2024
    Citations: 6

  • Title: Online Voltage Stability Monitoring and Prediction by Using Support Vector Machine Considering Overcurrent Protection for Transmission Lines
    Authors: A.H. Poursaeed, F. Namdari
    Year: 2020
    Citations: 6

  • Title: High‐Speed Algorithm for Fault Detection and Location in DC Microgrids Based on a Novel Time–Frequency Analysis
    Authors: A.H. Poursaeed, F. Namdari
    Year: 2024
    Citations: 3

  • Title: Hydraulic Modeling of the Water Resources Using Learning Techniques
    Authors: M. Poursaeid, A.H. Poursaeed, S. Shabanlou
    Year: 2022
    Citations: 3

  • Title: Explainable AI-Driven Quantum Deep Neural Network for Fault Location in DC Microgrids
    Authors: A.H. Poursaeed, F. Namdari
    Year: 2025
    Citations: 2

  • Title: Simulation Using Machine Learning and Multiple Linear Regression in Hydraulic Engineering
    Authors: M. Poursaeid, A.H. Poursaeed, S. Shabanlou
    Year: 2023
    Citations: 2

  • Title: Optimized Explainable Tabular Transformer Model for Fault Localization in DC Microgrids
    Authors: A.H. Poursaeed, F. Namdari, P.A. Crossley
    Year: 2025
    Citations: 1

  • Title: Optimal Coordination of Directional Overcurrent Relays: A Fast and Precise Quadratically Constrained Quadratic Programming Solution Methodology
    Authors: A.H. Poursaeed, M. Doostizadeh, S. Hossein Beigi Fard, A.H. Baharvand, F. Namdari
    Year: 2024
    Citations: 1

Dr. Zeinab Shahbazi | Computer Science | Best Researcher Award

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Dr. Zeinab Shahbazi | Computer Science | Best Researcher Award

Senior Lecturer at Kristianstad University, Sweden

Dr. Zeinab Shahbazi is an accomplished researcher specializing in Reinforcement Learning, Deep Learning, Natural Language Processing, Blockchain, and Knowledge Discovery. With a Ph.D. in Computer Engineering from Jeju National University, South Korea, she has over eight years of research experience in AI and data-driven technologies. Dr. Shahbazi has held postdoctoral positions in Spain and Sweden and is currently a Senior Lecturer in AI at Kristianstad University. Her research focuses on enhancing state-of-the-art architectures and developing innovative solutions in software-based intelligent systems. She has been recognized with several academic awards, including a Presidential Award and Best Paper Presentation honors. Fluent in multiple languages and technically skilled in programming and data systems, she actively contributes as a reviewer for high-impact journals. Her international collaborations and funded research projects reflect her commitment to advancing AI applications. Dr. Shahbazi is a dedicated and forward-thinking researcher making significant contributions to the field of computer science.

Professional Profile 

Google Scholar

Education

Dr. Zeinab Shahbazi holds a Ph.D. in Computer Engineering from Jeju National University, South Korea, where she completed her dissertation on cryptocurrency price prediction using blockchain frameworks, graduating with an impressive CGPA of 4.32/4.5. She also earned a Master’s degree in Computer Engineering from Chonbuk National University, Korea, with a thesis on deep learning techniques for paragraph focus analysis. Her foundational education includes a Bachelor’s degree in Computer Engineering from Pooyesh University in Iran. Throughout her academic journey, she received several scholarships and honors, reflecting her consistent academic excellence. Her education has been firmly rooted in AI, software systems, and intelligent technologies, providing her with a robust theoretical and practical grounding. This strong academic background has played a pivotal role in shaping her as a multidisciplinary researcher with global exposure, capable of addressing complex problems in AI and data science with both depth and innovation.

Professional Experience

Dr. Zeinab Shahbazi has accumulated diverse international professional experience in research and academia. She is currently a Senior Lecturer in Artificial Intelligence at Kristianstad University, Sweden. Prior to this, she held postdoctoral researcher positions at Halmstad University in Sweden and at the BCN-AIM Lab at the University of Barcelona in Spain. Her work has consistently focused on applied AI, reinforcement learning, and blockchain-based systems. Dr. Shahbazi has also led and participated in international research collaborations, notably securing a Vinnova-funded international staff exchange project with a partner institution in South Korea. Her career path showcases her ability to transition between theoretical research and practical implementations, including experience in advanced programming, system architecture, and AI model development. These roles have enabled her to contribute to both the academic and industrial applications of intelligent technologies, while also strengthening her leadership and mentoring capabilities in multidisciplinary, multicultural environments.

Research Interest

Dr. Zeinab Shahbazi’s research interests are deeply rooted in intelligent computing systems, with a focus on Reinforcement Learning, Deep Learning, Natural Language Processing (NLP), Blockchain, Knowledge Discovery, and their integration within modern technological ecosystems such as IoT, edge computing, and big data platforms. Her core research ambition lies in improving existing AI models and architectures, addressing their limitations, and introducing novel components to enhance performance and applicability. She has made notable contributions to the software aspects of AI, particularly through her work on knowledge-driven systems and blockchain-based data prediction. Dr. Shahbazi combines theoretical advancements with practical implementations, bridging the gap between academic research and real-world applications. Her multidisciplinary focus reflects a keen interest in innovation, system integration, and cross-domain problem-solving. This makes her work highly relevant to both academic audiences and industry stakeholders interested in deploying intelligent, data-driven systems for practical and scalable use.

Award and Honor

Dr. Zeinab Shahbazi has received multiple awards and honors in recognition of her academic excellence and research contributions. During her Ph.D. at Jeju National University, she was awarded the prestigious Presidential Award for distinguished research publications. She also received a university research grant in 2021 for her outstanding output during 2019–2020. Earlier in her academic career, she was a recipient of the BK government scholarship and multiple semester-based scholarships during her Master’s studies at Chonbuk National University. Her early academic promise was also recognized with a government-funded scholarship during her undergraduate studies in Iran. Additionally, she won the Best Paper and Presentation Award at the ITEC Conference in 2019, further solidifying her reputation in the research community. These honors demonstrate a consistent trajectory of excellence, reflecting both the quality and impact of her research work, as well as her ability to compete and stand out in international academic environments.

Conclusion

Dr. Zeinab Shahbazi exemplifies a dynamic and impactful researcher in the field of computer science, particularly in AI, machine learning, and data-driven systems. Her strong educational background, diverse international research experience, and cross-disciplinary expertise make her a well-rounded academic and innovator. Her ability to secure research funding, collaborate internationally, and publish high-quality work underlines her potential for long-term academic leadership. Recognized through various awards and honors, she has demonstrated excellence not only in individual performance but also in contributing to the broader scientific community through peer review and collaboration. Fluent in multiple languages and culturally adaptive, Dr. Shahbazi brings global perspective and technical depth to every role she undertakes. With a forward-thinking mindset and a commitment to advancing the state of AI, she stands as a strong candidate for high-level recognitions such as the Best Researcher Award and is poised to continue making meaningful contributions to academia and beyond.

Publications Top Notes

  • Title: Integration of blockchain, IoT and machine learning for multistage quality control and enhancing security in smart manufacturing
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 187

  • Title: A procedure for tracing supply chains for perishable food based on blockchain, machine learning and fuzzy logic
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2020
    Citations: 140

  • Title: Towards a secure thermal-energy aware routing protocol in wireless body area network based on blockchain technology
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2020
    Citations: 123

  • Title: Smart manufacturing real-time analysis based on blockchain and machine learning approaches
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 72

  • Title: Toward improving the prediction accuracy of product recommendation system using extreme gradient boosting and encoding approaches
    Authors: Z. Shahbazi, D. Hazra, S. Park, Y.C. Byun
    Year: 2020
    Citations: 68

  • Title: Improving transactional data system based on an edge computing–blockchain–machine learning integrated framework
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 64

  • Title: Product recommendation based on content-based filtering using XGBoost classifier
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2019
    Citations: 64

  • Title: Agent-based recommendation in E-learning environment using knowledge discovery and machine learning approaches
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2022
    Citations: 63

  • Title: Fake media detection based on natural language processing and blockchain approaches
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 63

  • Title: Improving the cryptocurrency price prediction performance based on reinforcement learning
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 60

  • Title: Machine learning-based analysis of cryptocurrency market financial risk management
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2022
    Citations: 58

  • Title: Lithium-ion battery estimation in online framework using extreme gradient boosting machine learning approach
    Authors: S. Jafari, Z. Shahbazi, Y.C. Byun, S.J. Lee
    Year: 2022
    Citations: 58

  • Title: Blockchain-based event detection and trust verification using natural language processing and machine learning
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