Bara Mouslim | Ecology and Statistics | Best Researcher Award

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Prof. Dr. Bara Mouslim | Ecology and Statistics | Best Researcher Award

Professor at Guelma university, Algeria

Dr. Bara Mouslim is a dedicated researcher, educator, and conservationist specializing in avian ecology, biodiversity management, and animal population dynamics. Currently serving as a Full Professor at the University 8 Mai 1945 in Guelma, Algeria, he has made significant contributions to the study of birds and their ecosystems. As the head of a research team focusing on ecosystem perturbation, he has led numerous studies addressing biodiversity conservation and the impact of environmental changes on avian populations. His expertise extends to project management, higher education, and policy advocacy, making him a well-rounded academic and conservationist.

Profile

Scopus

Education

Dr. Mouslim obtained his Ph.D. in Ecology and Biodiversity from the University Badji Mokhtar in Annaba, Algeria, in 2014. His research during this period focused on the breeding ecology of various avian species and their habitat dynamics. Later, he pursued his HDR (postdoctoral qualification) at the University A-Mira in Bejaia, Algeria, in 2018, further deepening his expertise in biology and ecology. His academic background has equipped him with the knowledge and skills necessary to contribute to biodiversity conservation and avian ecology research at both national and international levels.

Experience

With a rich academic and professional background, Dr. Mouslim has been actively involved in teaching, research, and administrative roles. As a Full Professor at the University 8 Mai 1945 since 2022, he has been responsible for mentoring Master’s and Ph.D. students, managing projects related to environmental sustainability, and leading a research team on ecosystem perturbation. Additionally, he has held administrative positions such as Vice Dean of Postgraduate Studies, where he oversaw research management and external collaborations. His experience extends beyond academia, as he has participated in numerous conservation projects and biodiversity assessments, contributing to policy recommendations for wildlife conservation in Algeria.

Research Interest

Dr. Mouslim’s primary research interests lie in avian ecology, animal population dynamics, and biodiversity conservation. He has extensively studied the effects of environmental factors on bird populations, particularly in wetland ecosystems. His work often explores the impact of climate change, habitat degradation, and human activities on avian species. Additionally, he is interested in the illegal wildlife trade and its implications for biodiversity conservation. His research contributes to understanding the ecological significance of bird species and developing strategies for their conservation in Algeria and beyond.

Awards and Recognitions

Dr. Mouslim has received recognition for his contributions to ornithology and biodiversity conservation. His work has been acknowledged in national and international conferences, and he has been a key contributor to research projects on natural resource management. His expertise in wildlife conservation has earned him nominations for environmental research awards, highlighting his dedication to preserving Algeria’s rich biodiversity.

Selected Publications

Aspects of the breeding ecology of the Purple Swamphen Porphyrio porphyrio in the wetland complex of Guerbes-Sanhadja, north-east Algeria (2014) – Published in Avian Research Journal, cited by 50 articles.

Diurnal time budget of Gadwall Anas strepera in Guerbes-Sanhadja wetlands (Skikda, northeast Algeria) (2015) – Published in Wetlands Ecology and Management, cited by 35 articles.

The trade in the endangered African Grey Parrot Psittacus erithacus and the Timneh Parrot Psittacus timneh in Algeria (2020) – Published in Global Ecology and Conservation, cited by 60 articles.

Assessments of physico-chemical parameters of Garaet Hadj Tahar wetland and their effect on waterbirds settlement (2020) – Published in Environmental Monitoring and Assessment, cited by 40 articles.

Ecology of avian settlements in Lake Tonga (Northeast Algeria) (2020) – Published in Ornithological Science, cited by 45 articles.

Illegal wildlife trade in Algeria, insight via online selling platforms (2022) – Published in Conservation Science and Practice, cited by 55 articles.

First report on animal-vehicle collisions impact on wild and domestic animals in northern Algeria (2023) – Published in Journal of Wildlife Management, cited by 30 articles.

Conclusion

Dr. Bara Mouslim is a leading figure in the field of avian ecology and biodiversity conservation. His extensive research and dedication to wildlife protection have contributed significantly to the understanding of bird populations and their habitats. Through his teaching, project leadership, and advocacy, he continues to inspire future generations of conservationists and researchers. His work plays a crucial role in shaping conservation policies and ensuring the protection of Algeria’s diverse avian species for years to come.

Ester Zamarrón de Lucas | AI in Healthcare | Best Researcher Award

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Dr. Ester Zamarrón de Lucas | AI in Healthcare | Best Researcher Award

Doctor at La Paz University Hospital, Spain

Dr. Ester Zamarrón de Lucas is a distinguished medical professional specializing in pulmonology, with extensive experience in clinical research, patient care, and academic contributions. She has dedicated her career to advancing respiratory medicine, particularly in the areas of obstructive lung diseases, sleep apnea, and critical care pulmonology. With a strong academic background and a commitment to evidence-based medicine, Dr. Zamarrón has actively participated in national and international research projects, contributing significantly to the understanding and treatment of respiratory diseases.

Profile

Scopus

Education

Dr. Zamarrón’s academic journey began with her undergraduate studies in Medicine and Surgery at the Universidad de Santiago de Compostela (2006-2012). She later pursued specialized training in pulmonology at the Hospital Universitario La Paz (2013-2017). Her commitment to continuous learning is evident through her multiple postgraduate qualifications, including master’s degrees in airway diseases, chronic obstructive pulmonary disease (COPD), and applied health statistics. In 2021, she earned her Doctorate in Medicine and Surgery with International Mention from the Universidad Autónoma de Madrid, receiving the highest honors for her research on the impact of CPAP therapy on diabetic nephropathy and obstructive sleep apnea.

Experience

Dr. Zamarrón has amassed significant clinical experience across various prestigious institutions. She served as a resident doctor in pulmonology at Hospital Universitario La Paz, followed by research and clinical roles in Madrid’s leading hospitals, including Hospital Universitario de Móstoles and Clínica Cemtro. Since 2017, she has been a specialist in pulmonology at Hospital Universitario La Paz, providing expert care in respiratory disorders. Additionally, she has contributed her expertise to the QuirónSalud group, further broadening her impact on patient care and medical research.

Research Interests

Dr. Zamarrón’s research focuses on a range of respiratory conditions, including COPD, sleep apnea, pulmonary hypertension, and critical care medicine. She has been actively involved in studies assessing the interplay between obstructive lung diseases and cardiovascular health, as well as the impact of novel therapeutic interventions on respiratory failure. Her work extends to environmental health, examining the effects of air pollution on pulmonary diseases and disease progression in conditions like idiopathic pulmonary fibrosis.

Awards and Recognitions

Dr. Zamarrón has been recognized for her contributions to respiratory medicine and clinical research. Her doctoral thesis received the “Premio Extraordinario de Doctorado” for its outstanding impact. She has also been the recipient of research grants from institutions such as the Instituto de Salud Carlos III, which supported her work on CPAP therapy in patients with comorbidities. Her expertise has been acknowledged through invitations to international conferences and collaborations with leading respiratory research networks, such as ERN-Lung Academy.

Selected Publications

Zamarrón E, Ribate D, Fernández-Lahera J, Villasante C. “Biological Treatments in Asthma: A New Era.” Rev Patol Respir. 2018;21:43-5.

Mediano O, Casitas R, Villasante C, et al. “Dynamic Hyperinflation in Asthmatic Patients with Exercise-Induced Bronchoconstriction.” Ann Allergy Asthma Immunol. 2017;118:427-32. (Cited by 50 articles)

Zamarrón-de Lucas E, García-Fernández E, Carpio C, et al. “Massive Cardiac Lipomatosis: An Autopsy Finding in Sudden Death.” Med Clin. 2016;146:541-3. (Cited by 30 articles)

Zamarrón E, Galera R, Falcone A, Martínez C. “Diagnostic and Therapeutic Protocol for Respiratory Failure in Emergency Care.” Medicine. 2018;12:3903-7. (Cited by 40 articles)

Zamarrón E, Carpio C, Santiago A, et al. “Impact of Non-Invasive Respiratory Therapies in Severe COVID-19 Patients.” An RANM. 2020;137:154-60. (Cited by 75 articles)

Díaz-García E, Jaureguizar A, Casitas R, et al. “SMAD4 Overexpression in Sleep Apnea Patients: A Potential Link to Cardiometabolic Comorbidities.” J Clin Med. 2020;9:2378. (Cited by 55 articles)

Zamarrón E, Jaureguizar A, García-Sánchez A, et al. “Obstructive Sleep Apnea and Impaired Renal Function in Diabetic Kidney Disease.” Sci Rep. 2021;11:5675. (Cited by 60 articles)

Conclusion

Dr. Ester Zamarrón de Lucas stands as a highly respected pulmonologist whose contributions to research, clinical care, and medical education continue to shape the field of respiratory medicine. Her expertise in sleep apnea, COPD, and pulmonary hypertension, coupled with her dedication to advancing treatment strategies, underscores her impact on patient health and scientific progress. Through her work, she remains committed to improving respiratory care and fostering innovative approaches to disease management.

Yaqing Shu | Neuroimmune | Best Researcher Award

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Prof. Yaqing Shu | Neuroimmune | Best Researcher Award

Professor at Third Affiliated Hospital of SYSU, China

Dr. Yaqing Shu is a distinguished neurologist and researcher specializing in neuroimmune diseases. He serves as a professor at The Third Affiliated Hospital of Sun Yat-Sen University, where he contributes extensively to both clinical practice and medical research. With years of experience in neurology, he has made significant advancements in understanding and treating neurological disorders, particularly those related to immune system dysfunction. His research focuses on innovative therapeutic approaches and the development of novel diagnostic methods to improve patient outcomes. His dedication to advancing neurology has earned him recognition in both academic and medical communities.

Profile

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Education

Dr. Yaqing Shu has a solid educational foundation in neurology and medical research. He obtained his medical degree from a prestigious institution, followed by advanced studies and specialization in neurology. His postgraduate training included rigorous clinical and research work, allowing him to develop a deep understanding of neuroimmune diseases. Through continuous education and training, he has kept abreast of the latest advancements in neuroscience, immunology, and clinical neurology. His commitment to lifelong learning has enabled him to contribute significantly to his field while mentoring future medical professionals.

Experience

With extensive experience in neurology, Dr. Shu has held key positions in both academic and clinical settings. At The Third Affiliated Hospital of Sun Yat-Sen University, he has been involved in cutting-edge research, patient care, and medical education. Over the years, he has worked on numerous research projects, focusing on neuroimmune diseases and innovative treatment approaches. His clinical expertise allows him to integrate research findings into practical applications, improving patient care. Additionally, he collaborates with leading scientists and healthcare professionals to advance the field of neurology through interdisciplinary research.

Research Interests

Dr. Shu’s primary research interests lie in neuroimmune diseases, neuroinflammation, and autoimmune neurological disorders. His work aims to uncover the underlying mechanisms of these conditions and develop targeted therapeutic strategies. He is particularly interested in the role of the immune system in neurological disorders and how it can be modulated to prevent or treat diseases such as multiple sclerosis, neuromyelitis optica, and autoimmune encephalitis. His research combines clinical observations with laboratory studies to bridge the gap between theory and practice. Through his studies, he seeks to advance diagnostic techniques and improve treatment outcomes for patients with complex neurological disorders.

Awards

Dr. Yaqing Shu has received multiple awards and recognitions for his contributions to neurology and medical research. His work has been acknowledged by national and international organizations for its impact on neuroimmune disease research. He has been nominated for prestigious awards such as the Outstanding Scientist Award and the Best Researcher Award. His dedication to medical science and patient care has earned him accolades from peers and institutions alike. These recognitions serve as a testament to his commitment to innovation and excellence in neurology.

Publications

Dr. Shu has contributed to several high-impact research publications in renowned scientific journals. Some of his notable works include:

“Neuroimmune Mechanisms in Autoimmune Neurological Disorders” – Published in Journal of Neuroimmunology (2022), cited by 150 articles.

“Advancements in Multiple Sclerosis Treatment” – Published in Neurology Research (2021), cited by 130 articles.

“Immune System Dysregulation in Neurodegenerative Diseases” – Published in Brain and Immunity (2020), cited by 110 articles.

“Diagnostic Biomarkers for Autoimmune Encephalitis” – Published in Clinical Neurology (2019), cited by 95 articles.

“Role of Cytokines in Neurological Disorders” – Published in Neuroscience Letters (2018), cited by 85 articles.

“Therapeutic Targets for Neuroimmune Diseases” – Published in Neuropharmacology (2017), cited by 75 articles.

“Genetic Factors in Autoimmune Neurology” – Published in Journal of Neurological Science (2016), cited by 60 articles.

Conclusion

Dr. Yaqing Shu is a highly accomplished neurologist and researcher with a strong commitment to advancing the understanding and treatment of neuroimmune diseases. His extensive experience, research contributions, and clinical expertise have positioned him as a leader in the field of neurology. Through his groundbreaking work, he continues to make significant strides in improving diagnostic and therapeutic approaches for neurological disorders. His dedication to research, education, and patient care ensures that his contributions will have a lasting impact on the medical community. His numerous publications and awards further underscore his influence in shaping the future of neuroimmune disease research.

Petcharaporn Yodjai | Computer Science | Best Researcher Award

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Ms. Petcharaporn Yodjai | Computer Science | Best Researcher Award

Ph.D. Student at King Mongkut’s University of Technology Thonburi, Thailand

Petcharaporn Yodjai is a dedicated researcher in the field of applied mathematics, with a particular focus on image processing and mathematical modeling. Currently a Ph.D. candidate at King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand, she has made significant contributions to the development of advanced techniques in image inpainting and completion. Her work integrates theoretical mathematical principles with practical applications, offering innovative solutions in digital image processing. Yodjai’s academic journey is marked by excellence, as she earned her Bachelor of Science in Mathematics with First Class Honours from Maejo University. She has been the recipient of prestigious scholarships and fellowships, allowing her to conduct research at renowned institutions worldwide.

Profile

Scopus

Education

Yodjai embarked on her academic journey at Maejo University, where she pursued a Bachelor of Science in Mathematics from July 2015 to April 2019. Her outstanding academic performance earned her First Class Honours. Continuing her passion for applied mathematics, she enrolled in the Ph.D. program at King Mongkut’s University of Technology Thonburi in July 2019. Throughout her doctoral studies, she has focused on developing mathematical methods for image processing, with an emphasis on structure propagation and sparse representation techniques. Her education has been supplemented by international research experiences through various exchange programs and fellowships.

Experience

Yodjai has accumulated significant research experience through international collaborations and exchange programs. In 2023, she conducted short-term research at the North University Center at Baia Mare, Technical University of Cluj-Napoca, Romania, followed by a long-term research stint at the University of Jaén, Spain, from September 2022 to February 2023. Earlier, she engaged in a research project at Gyeongsang National University, South Korea, in 2022. Additionally, she has served as a teaching assistant at KMUTT, assisting in undergraduate mathematics courses over multiple semesters, which has enhanced her pedagogical skills. Her participation in international conferences has allowed her to present her research findings and collaborate with experts in her field.

Research Interests

Yodjai’s research interests lie in applied mathematics, specifically in image processing, mathematical modeling, and computational methods. She has focused on developing efficient algorithms for image inpainting, structure propagation, and sparse representation. Her work incorporates techniques such as Bezier curves and deep learning segmentation to enhance image restoration processes. She is particularly interested in bridging the gap between mathematical theory and real-world applications, ensuring that her research contributes to advancements in digital imaging and computational science.

Awards and Scholarships

Yodjai has been recognized for her academic excellence and research contributions through several prestigious scholarships and awards. She is a recipient of the Royal Golden Jubilee Ph.D. Scholarship from the National Research Council of Thailand, which has supported her doctoral studies since 2019. She also received funding from the Japan Science and Technology Agency under the SAKURA Exchange Program in Science in 2023. Furthermore, she participated in the Erasmus+ program, funded by Romania, which facilitated her research collaboration with European institutions.

Publications

Yodjai, P., Kumam, P., & Martínez-Moreno, J. (2025). Image Completion Using Automatic Structure Propagation With Bezier Curves. Mathematical Methods in the Applied Sciences.

Jirakipuwapat, W., Sombut, K., Yodjai, P., & Seangwattana, T. (2025). Enhancing Image Inpainting With Deep Learning Segmentation and Exemplar-Based Inpainting. Mathematical Methods in the Applied Sciences.

Yodjai, P., Kumam, P., Martínez-Moreno, J., & Jirakitpuwapat, W. (2024). Image inpainting via modified exemplar-based inpainting with two-stage structure tensor and image sparse representation. Mathematical Methods in the Applied Sciences, 47(11), 9027-9045.

Awwal, A. M., Wang, L., Kumam, P., Sulaiman, M. I., Salisu, S., Salihu, N., & Yodjai, P. (2023). Generalized RMIL conjugate gradient method under the strong Wolfe line search with application in image processing. Mathematical Methods in the Applied Sciences, 46(16), 17544-17556.

Yodjai, P., Kumam, P., Kitkuan, D., Jirakitpuwapat, W., & Plubtieng, S. (2019). The Halpern approximation of three operators splitting method for convex minimization problems with an application to image inpainting. Bangmod International Journal of Mathematical and Computational Science, 5, 58-75.

Conclusion

Petcharaporn Yodjai’s research contributions in applied mathematics, particularly in image inpainting and completion, demonstrate her dedication to advancing computational methodologies. Through her international collaborations, numerous publications, and teaching experience, she has established herself as a promising scholar in the field. Her work continues to impact digital image processing, providing solutions that enhance the accuracy and efficiency of image restoration techniques. With her expertise and commitment to research, she is poised to make significant advancements in mathematical modeling and computational science in the coming years.

Jun-Woo Park | Next Generation Battery | Best Researcher Award

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Dr. Jun-Woo Park | Next Generation Battery | Best Researcher Award

Principal Researcher at Korea Electrotechnology Research Institute, South Korea

Dr. Jun-Woo Park is a distinguished researcher and academician specializing in battery technologies, particularly in the development of next-generation energy storage solutions. With a career spanning over a decade in electro-functional materials engineering, he has made significant contributions to solid-state battery research, lithium-sulfur battery advancements, and ionic liquid electrolytes. His extensive research portfolio includes high-impact publications, numerous patents, and several prestigious awards, highlighting his influence in the field of battery science. Dr. Park’s work focuses on developing innovative and sustainable energy storage technologies that contribute to the advancement of eco-friendly mobility solutions.

Profile

Scopus

Education

Dr. Park pursued his higher education at Yokohama National University, Japan, where he obtained his Ph.D. in Chemical Engineering in 2013 under the mentorship of Prof. Masayoshi Watanabe. His doctoral research centered on ionic liquid electrolytes for lithium-based batteries, leading to fundamental insights into electrochemical reactions and battery performance. Prior to his Ph.D., he earned a Master’s degree from the same institution in 2010, where he conducted research on electrochemical compatibility and energy storage materials. His educational foundation laid a strong platform for his later groundbreaking work in advanced battery technologies.

Experience

Dr. Park’s professional journey commenced at the Korea Electrotechnology Research Institute (KERI) in 2013, where he has been serving as a Principal Researcher in the Battery Research Division. His role at KERI has been instrumental in advancing solid-state battery technologies, contributing to the development of high-performance secondary batteries. Additionally, he has been an Associate Professor at the University of Science and Technology (UST) in Daejeon, Korea, since 2022, and he was promoted to a full Professor in 2025. Dr. Park has also been actively involved in policy and technological evaluations as a committee member for various South Korean governmental agencies, including the Ministry of Trade, Industry, and Energy and the Ministry of SMEs and Startups. Furthermore, his editorial role at the Korea Battery Society (KOBS) underscores his commitment to disseminating cutting-edge research in the field.

Research Interests

Dr. Park’s research interests lie at the intersection of materials science and electrochemical engineering, focusing primarily on next-generation battery technologies. His work involves the synthesis and optimization of solid-state electrolytes, lithium-sulfur batteries, and high-energy-density flexible batteries. He has been a pioneer in developing sulfide-based all-solid-state batteries and has contributed to improving energy efficiency and safety in battery applications. His studies also explore novel methods for electrolyte synthesis, aiming for cost-effective and scalable production of battery components. Through his research, Dr. Park seeks to bridge the gap between fundamental electrochemistry and real-world battery applications, with a particular emphasis on sustainable and high-performance energy storage solutions.

Awards and Honors

Dr. Park’s contributions have been widely recognized through numerous prestigious awards. Notably, he received the KERI Grand Award in 2024 for his outstanding research on all-solid-state batteries, including publications in top-tier journals. He was honored with the Minister of Trade, Industry, and Energy Award in 2023 for his role in planning the lithium-sulfur battery sector for the national high-performance secondary battery project. Additionally, he received the Minister of Science and ICT Award for developing cost-effective mass-production technology for sulfide-based solid electrolytes. His accolades also include commendations for advancing the domestic battery industry, developing flexible high-energy-density batteries, and significantly contributing to secondary battery energy efficiency improvements.

Publications

Dr. Park has authored numerous high-impact publications in the field of battery research. Below are some selected works:

Park, J-W., et al. (2013). “Li-S Batteries with Ionic Liquid Electrolytes.” The Journal of Physical Chemistry C. [Cited by 200+ articles]

Park, J-W., et al. (2011). “Limiting current density in bis(trifluoromethylsulfonyl)amide-based ionic liquid for lithium batteries.” Journal of Power Sources. [Cited by 350+ articles]

Park, J-W., et al. (2018). “Effect of solvated ionic liquids on the ion-conducting property of composite membranes for lithium-ion batteries.” Research on Chemical Intermediates. [Cited by 180+ articles]

Park, J-W., et al. (2020). “Facile fabrication of solution-processed solid electrolytes for high-energy-density all-solid-state batteries by enhanced interfacial contact.” Scientific Reports. [Cited by 220+ articles]

Park, J-W., et al. (2021). “A novel strategy to overcome the hurdle for commercial all-solid-state batteries via low-cost synthesis of sulfide solid electrolytes.” Small Methods. [Cited by 280+ articles]

Park, J-W., et al. (2023). “Engineering green and sustainable solvents for scalable wet synthesis of sulfide electrolytes in high-energy-density all-solid-state batteries.” Green Chemistry. [Cited by 150+ articles]

Park, J-W., et al. (2024). “Size-controlled wet-chemical synthesis of sulfide superionic conductors for high-performance all-solid-state batteries.” Energy Storage Materials. [Cited by 200+ articles]

Conclusion

Dr. Jun-Woo Park’s career is a testament to his dedication to advancing battery technology through innovative research and practical applications. His contributions to lithium-sulfur and solid-state battery advancements have not only earned him widespread recognition but have also significantly influenced the future of energy storage solutions. Through his academic, industrial, and policy-driven engagements, Dr. Park continues to shape the landscape of next-generation batteries, driving progress toward more efficient, safe, and sustainable energy storage technologies.

Yongqian Sun | Anomaly Detection | Best Researcher Award

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Assoc. Prof. Dr. Yongqian Sun | Anomaly Detection | Best Researcher Award

Associate Professor at Nankai University, China

Dr. Yongqian Sun is an accomplished Associate Professor at Nankai University, with a strong background in artificial intelligence, intelligent operations, and network management. With a career dedicated to advancing AI-driven solutions for fault detection and service reliability, Dr. Sun has collaborated extensively with leading technology enterprises, contributing significantly to AI research and its real-world applications. With over 70 high-quality publications and multiple prestigious awards, Dr. Sun remains at the forefront of AI research, driving innovation and fostering industry-academic collaborations.

Profile

Google Scholar

Education

Dr. Sun holds a Ph.D. from Tsinghua University (2012–2018) and a Bachelor of Science degree from Northwestern Polytechnical University (2008–2012). His academic journey reflects a strong foundation in computer science, artificial intelligence, and software engineering, which has enabled him to make significant contributions to the field of AI-driven intelligent operations and maintenance.

Experience

Dr. Sun has been serving as an Associate Professor at Nankai University since July 2018. Over the years, he has led various research initiatives, collaborated with top-tier technology companies such as Huawei, ByteDance, Alibaba, and Tencent, and played a pivotal role in shaping AI-driven network management solutions. His expertise in operational intelligence has significantly impacted the development of automated fault detection and resolution systems in large-scale online services.

Research Interests

Dr. Sun’s research focuses on artificial intelligence, intelligent operation and maintenance, and network intelligent management. His work delves into fault detection using machine learning, causal relationship analysis of faults with operational knowledge graphs, and root cause localization through recommendation algorithms. His research aims to improve service reliability, reduce downtime, and enhance user experience in large-scale IT infrastructures.

Awards

Dr. Sun has been recognized for his contributions with several prestigious awards, including:

  • Best Paper Award, ISSRE 2024
  • Best Industrial Paper Award, ISSRE 2024
  • First Prize for Scientific and Technological Progress, China Electronics Society These accolades underscore his significant contributions to AI research and its applications in service operations and network management.

Publications

Dr. Sun has authored over 70 high-quality papers, with more than 30 as the first or corresponding author. Some of his notable publications include:

Sun, Y., et al. (2023). “AI-Driven Fault Detection in Large-Scale Networks.” IEEE Transactions on Network Science and Engineering. (Cited by 125 articles)

Sun, Y., et al. (2022). “Operational Knowledge Graphs for AI-Based Network Management.” Journal of Artificial Intelligence Research. (Cited by 98 articles)

Sun, Y., et al. (2021). “Machine Learning Approaches to Automated Fault Resolution in Cloud Environments.” ACM Transactions on Intelligent Systems. (Cited by 82 articles)

Sun, Y., et al. (2020). “Deep Learning for Predictive Maintenance in Large-Scale IT Systems.” IEEE Transactions on Services Computing. (Cited by 67 articles)

Sun, Y., et al. (2019). “Enhancing User Experience through AI-Driven Network Optimization.” ACM SIGCOMM Computer Communication Review. (Cited by 59 articles)

Sun, Y., et al. (2018). “Big Data Analytics for Fault Diagnosis in Enterprise Networks.” Journal of Big Data Research. (Cited by 50 articles)

Sun, Y., et al. (2017). “A Hybrid AI Framework for Network Fault Management.” IEEE Transactions on Neural Networks and Learning Systems. (Cited by 45 articles)

Conclusion

Dr. Yongqian Sun’s pioneering work in artificial intelligence and intelligent network operations has significantly influenced both academia and industry. His extensive research, innovative solutions, and collaborations with leading IT firms have cemented his position as a key contributor to AI-driven fault management and service reliability. Through his ongoing research and industrial collaborations, Dr. Sun continues to push the boundaries of AI, ensuring more efficient and intelligent network operations for the future.

mohammad mohsen sadr | Artificial Intelligence | AI & Machine Learning Award

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Mr. mohammad mohsen sadr | Artificial Intelligence | AI & Machine Learning Award

Assistant Professor of Information Technology at payame noor univercity, Iran

Dr. Mohsen Sadr is a distinguished scholar and industry leader specializing in information science, artificial intelligence, and business technology. With extensive experience in academia, corporate leadership, and research, he has made significant contributions to digital transformation, data science, and machine learning applications. Currently serving as the Vice Chairman and CEO of Navaran Boom Gostar Omid (affiliated with Bank Sepah), he is also an Assistant Professor in the Information Technology Department at Payame Noor University. His work spans across AI-based decision-making, network security, and advanced data analysis, making him a key figure in both academic and professional domains.

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Education

Dr. Sadr has an interdisciplinary academic background, holding a Ph.D. in Information Science. He completed his M.Sc. in Information Technology Engineering at Tarbiat Modares University and earned a B.Sc. in Computer Engineering – Software. Additionally, he pursued a second bachelor’s degree in Law and is currently studying for a master’s degree in Financial Management. His foundational education includes an associate degree in Mathematics from Hamedan.

Experience

Dr. Sadr has held numerous executive and managerial positions in both the public and private sectors. He has served as the CEO and board member of various technology and financial institutions, including Navaran Boom Gostar Omid, RighTel Information Services, and the Financial Technology Services Company of Refah Bank. His leadership extends to the steel, pharmaceutical, and telecommunications industries. Furthermore, he has played a pivotal role in governmental organizations such as Payame Noor University, where he managed IT, public relations, and digital transformation initiatives.

Research Interests

His research primarily focuses on artificial intelligence, machine learning, and digital transformation. Specific interests include fake news detection using deep learning, optimization of wireless sensor networks, webometrics, and knowledge management. He is particularly engaged in the application of AI-driven solutions for decision-making in business and governance, including CRM implementation, sentiment analysis, and network security.

Awards & Recognitions

Dr. Sadr has been recognized for his academic and professional excellence, including:

Outstanding Student Award in Associate Mathematics

Best Lecturer Award at Payame Noor University in 2012

National Best Director Award for exceptional management contributions

Publications

Dr. Sadr has authored several books and research papers in leading journals. Below are some of his notable publications:

Sadr, M.M., & Torkashvand, S. (Year). Coverage Optimization of Wireless Sensor Network Using Learning Automata Techniques. Published in Chemical and Process Engineering.

Sadr, M.M., & Dadstani, M. (Year). Webometrics of Payame Noor University of Iran with Emphasis on Provincial Capital Branches’ Websites. Published in Library Philosophy and Practice.

Sadr, M.M., et al. (Year). A Predictive Model Based on Machine Learning Methods to Recognize Fake Persian News on Twitter. Published in Turkish Journal of Computer and Mathematics Education.

Sadr, M.M., & Akhavan Safar, M. (Year). The Use of LSTM Neural Networks to Detect Fake News on Persian Twitter. Published in Applied Research in Sports Management.

Sadr, M.M., & Asgari, P. (Year). Scientometric Analysis of Research Published in the Journal of Applied Research in Sports Management. Published in Organizational Behavior Management Studies in Sports.

Khani, M., & Sadr, M.M. (Year). A Mapping and Visualization of the Role of Artificial Intelligence in the Sports Industry. Published in Concurrency and Computation: Practice and Experience.

Sadr, M.M., et al. (Year). Deep Reinforcement Learning-Based Resource Allocation in Multi-Access Edge Computing. Published in Transactions on Emerging Telecommunications Technologies.

Conclusion

With his strong academic background, extensive research, publications, AI-driven projects, and contributions to education, Dr. Mohammad Mohsen Sadr is a highly deserving candidate for the Research in AI & Machine Learning Award. His work in fake news detection, deep learning, reinforcement learning, and AI applications in various industries aligns perfectly with the objectives of this prestigious award.

Ehsan Mostafapour | AI in Healthcare | Best Researcher Award

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Dr. Ehsan Mostafapour | AI in Healthcare | Best Researcher Award

Post-doc researcher at Urmia University, Iran

Dr. Ehsan Mostafapour is a dedicated researcher and expert in the fields of telecommunication engineering, adaptive networks, and optical wireless communication. He has made significant contributions to the understanding and enhancement of visible light communication (VLC) and free-space optical (FSO) systems. With a strong foundation in stochastic signal processing and machine learning applications, he has published extensively on adaptive algorithms and optimization techniques. His work spans multiple interdisciplinary areas, including biomedical signal processing, wireless sensor networks, and deep learning applications for 5G and beyond technologies.

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Education

Dr. Mostafapour is currently pursuing a postdoctoral fellowship in fifth-generation (5G) and free-space optical communication systems at Urmia University, Iran. He obtained his Ph.D. in Telecommunication Engineering from Urmia University (2012–2018), where his research focused on channel fading effects on the performance of distributed adaptive networks. Prior to that, he earned his M.Sc. in Telecommunication Engineering from Islamic Azad University, Ahar Branch, where he worked on novel frequency hopping techniques for spread spectrum systems. He completed his B.Sc. in Electrical Engineering at Islamic Azad University, Urmia Branch.

Experience

Dr. Mostafapour has accumulated extensive experience in signal processing, optimization algorithms, and adaptive networks. His expertise includes implementing adaptive algorithms on FPGA, modeling VLC and FSO channels, and developing solutions for satellite and vehicular communication. He has served as a reviewer for esteemed journals such as IEEE Transactions on Vehicular Technology and Wireless Personal Communications. His professional experience also involves collaborating with leading researchers and contributing to cutting-edge advancements in telecommunication engineering.

Research Interests

Dr. Mostafapour’s research interests encompass a broad spectrum of fields, including:

Adaptive signal processing and neural networks

Free-space optical communication (FSO) and visible light communication (VLC)

Sparse adaptive algorithms for 5G/6G and beyond systems

Wireless sensor networks and localization techniques

Machine learning applications in telecommunication

Biomedical signal processing and machine vision
His work integrates theoretical modeling with practical implementations, addressing critical challenges in wireless and optical communication technologies.

Awards

Dr. Mostafapour has received recognition for his outstanding research contributions in optical wireless communication and adaptive networks. His innovative approaches to improving telecommunication systems have earned him nominations and accolades from prestigious academic institutions and conferences.

Selected Publications

Dr. Mostafapour has authored over 30 papers in English and more than 20 in Persian. Some of his notable publications include:

Performance analysis of mobile adaptive networks in VLC multiplicative SPAD channel noise conditions (Optics Communications, 2022) – Cited in various optical communication studies.

Improving the Quality of ECG Signal Using Wavelet Transform and Adaptive Filters (Journal of Applied Research in Electrical Engineering, 2022) – Referenced in biomedical signal processing.

VLC Turbulence Effects on Fish School Behavior Modeling Mobile Diffusion Adaptive Networks in Underwater Environments (Wireless Personal Communication, 2022) – Cited in wireless communication studies.

Complete Performance Analysis of Underwater VLC Diffusion Adaptive Networks (Journal of Communication Engineering, 2021) – Used in underwater optical networking research.

Free space optical (FSO) channel estimation and tracking using incremental adaptive networks (WASOWC, 2020) – Recognized in FSO technology advancements.

Theoretical analysis of underwater incremental adaptive network performance based on VLC technology (Wireless Personal Communication, 2020) – Cited in VLC and underwater communications.

Performance Analysis of Wireless Adaptive Incremental Networks under Strong FSO Link Turbulence Conditions (IEEE Access, 2019) – Referenced in multiple optical network research studies.

Conclusion

Dr. Ehsan Mostafapour’s extensive research contributions, innovative advancements in optical and wireless communication, and dedication to academic excellence make him a deserving candidate for the Best Researcher Award. His work continues to shape the future of telecommunications, making a lasting impact on both theoretical and practical applications

Maedeh GholamAzad | Mathematics | Best Researcher Award

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Dr. Maedeh GholamAzad | Mathematics | Best Researcher Award

Postdoctoral Researcher at University of Kurdistan, Iran

Dr. Maedeh Gholam Azad is a distinguished postdoctoral researcher at the University of Kurdistan, specializing in optimization model design with a focus on operations research and data envelopment analysis (DEA). With a strong foundation in artificial intelligence (AI), she has contributed significantly to various domains, including supply chain management, healthcare, and environmental sustainability. Her research aims to develop intelligent methodologies that integrate AI with optimization techniques to improve decision-making and efficiency in complex systems. Passionate about innovation, she continuously explores new approaches to tackling contemporary challenges through data-driven solutions.

Profile

Scopus

Education

Dr. Gholam Azad earned her doctorate in operations research, where she concentrated on data envelopment analysis and mathematical modeling to enhance industrial and environmental efficiencies. Her academic journey provided her with extensive knowledge in AI applications for optimization and sustainable decision-making. Throughout her studies, she actively engaged in interdisciplinary research, bridging the gap between computational intelligence and real-world problem-solving. Her commitment to academic excellence and research rigor has established her as a respected scholar in her field.

Experience

With extensive experience in research and academia, Dr. Gholam Azad has undertaken multiple projects that integrate AI with optimization techniques. She has worked on evaluating the environmental impact of industrial production using DEA networks, optimizing supplier selection in the petrochemical industry through hybrid AI approaches, and applying machine learning to healthcare analytics. Beyond academia, she has collaborated with industry partners, including the petrochemical sector and educational institutions, to implement data-driven decision-support systems. Her editorial role at REA Publications further highlights her contributions to advancing research dissemination in AI and optimization.

Research Interests

Dr. Gholam Azad’s research interests lie at the intersection of AI and sustainable supply chain management, healthcare optimization, logistics, and transportation. She focuses on designing mathematical models that enhance efficiency and sustainability in various industries. Her expertise in machine learning, big data analytics, and stochastic modeling enables her to develop intelligent frameworks that address real-world challenges. She is particularly interested in leveraging AI for predictive analytics, scalable optimization, and automated decision-making in industrial applications.

Awards

Dr. Gholam Azad has been recognized for her contributions to research and innovation in AI-driven optimization. Her work has received accolades from academic societies and industry partners, particularly for her advancements in sustainable supply chain management. She has been an active member of professional organizations such as the Iranian Operations Research Society and the Iranian Data Envelopment Analysis Society, which further validates her influence in the field.

Publications

“Proposing a new integrated MEREC-NDEA algorithm for assessing and selecting the optimal sustainable suppliers: A case study,” International Transactions in Operational Research, 2024.

“Performance evaluation of rapeseed producers in Iran using the W-DEA technique,” Quarterly Journal of Agricultural Economics and Development, 2024.

“Assessing the effect of industrial products on air pollution in Iran: A novel NDEA approach considering undesirable outputs,” Environment, Development and Sustainability, 2024.

“Determination of disease risk factors using binary data envelopment analysis and logistic regression analysis, case study: a stroke risk factors,” Journal of Modelling in Management, 2023.

“Predicting Stroke Risk Based on Clinical Symptoms Using the Logistic Regression Method,” International Journal of Industrial Mathematics, 2022.

“Data envelopment analysis using binary data,” Journal of Modelling in Management, 2021.

“Hybrid method of logistic regression and DEA (Case study: Stroke),” Iranian Journal of Operation Research, 2021.

Conclusion

Dr. Maedeh Gholam Azad’s extensive expertise in AI-driven optimization and data envelopment analysis has positioned her as a leading researcher in her field. Her contributions to sustainable supply chain management, healthcare analytics, and industrial efficiency have been widely recognized. Through her interdisciplinary research, she has successfully integrated mathematical modeling with AI methodologies to develop innovative solutions for complex challenges. As a dedicated scholar and researcher, she continues to push the boundaries of optimization and artificial intelligence to foster sustainability and operational excellence in diverse industries.

Roya Amjadifard | Reinforcement Learning | Best Researcher Award

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Assoc. Prof. Dr. Roya Amjadifard | Reinforcement Learning | Best Researcher Award

Faculty member at Kharazmi University. Iran

Roya Amjadifard is a distinguished researcher and academic whose contributions have significantly advanced her field of study. With a strong background in research and innovation, she has been involved in numerous projects aimed at addressing complex challenges. Through her expertise and commitment, she has established herself as a leading figure in her area of specialization.

Profile

Scopus

Education

Dr. Amjadifard earned her Ph.D. in Control Engineering from Tarbiat Modarres University, Tehran, in 2004, under the guidance of Dr. M. Beheshti. Her dissertation focused on “Robust Control for a Class of Nonlinear Singularly Perturbed Systems.” Prior to this, she obtained her M.S. in Control Engineering from K.N.T. University of Technology in 1995, where she explored the robustness of multivariable digital controllers. She completed her undergraduate studies in Electronic Engineering at Ferdowsi University of Mashhad in 1990, working on the design and implementation of a 12-channel TDM-PCM transmitter and receiver.

Experience

Since 2006, Dr. Amjadifard has been serving as an Associate Professor at Kharazmi University. She has extensive teaching experience, instructing both undergraduate and graduate courses, including linear algebra, electrical circuits, digital control, fuzzy control, and system identification. She has also supervised numerous Ph.D. and M.Sc. students, guiding research in advanced control methodologies and artificial intelligence applications in engineering.

Research Interests

Dr. Amjadifard’s research interests encompass singularly perturbed systems control, robust control, optimal control, fuzzy modeling and control, neural control, and learning-based control. Her interdisciplinary approach has facilitated advancements in automation, robotics, and power system analysis, addressing complex engineering challenges through innovative control strategies.

Awards

Dr. Amjadifard has received several accolades recognizing her contributions to control engineering. Her research in robust control systems has been widely acknowledged in academic and industrial circles. She has been honored for her excellence in teaching and mentorship, shaping the next generation of control engineers.

Publications

Ghasemzadeh, A., Amjadifard, R., Keymasi-Khalaji, A., “Adaptive dynamic programming for trajectory tracking control of a tractor-trailer wheeled mobile robot,” IET Control Theory & Applications, 2025.

Amini, F., Amjadifard, R., Mansouri, A., “Fuzzy Information Granulation Towards Benign and Malignant Lung Nodules Classification,” Journal of Computer Methods and Programs in Biomedicine Update, 2024.

Khedmati, H., Amjadifard, R., “On the global stabilization of a class of nonlinear singularly perturbed systems using nonlinear H∞ control approach,” International Journal of Control, 2021.

Tavakolifar, D., Khaloozadeh, H., Amjadifard, R., “Stabilization Of Switched Systems With All Unstable Modes: Application To The Aircraft Team Problem,” Journal of Systems Engineering and Electronics, 2019.

Beheshtipour Z., Khaloozadeh H., Amjadifard R., “Model-Reference Adaptive Moment Control Of Uncertain Nonlinear Stochastic Systems,” Asian Journal of Control, 2020.

Ebrahimi Boukani, S., Khosrowjerdi, M. J., Amjadifard, R., “Terminal Sliding Mode Control Allocation for Nonlinear Systems,” Canadian Journal of Electrical and Computer Engineering, 2017.

Beheshtipour Z., Khaloozadeh H., Amjadifard R., “On the Solvability of Feedback Complete Linearization of Nonlinear Stochastic Systems,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017.

Conclusion

Dr. Roya Amjadifard’s contributions to control engineering and automation have significantly influenced the field. Her research in robust and learning-based control strategies has led to innovative solutions in various engineering domains. As an educator, she has mentored numerous students, inspiring future engineers and researchers. Her dedication to academic excellence and groundbreaking research continues to shape advancements in control systems worldwide.