Engy Risha | Clinical Pathology | Best Researcher Award

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Dr. Engy Risha | Clinical Pathology | Best Researcher Award

Prof. Engy Fikry Mohamed Hassan Risha is the Vice Dean for Education and Student Affairs at Mansoura University – Faculty of Veterinary Medicine, Clinical Pathology. She has contributed 75 research publications in clinical pathology and veterinary sciences. With a strong academic background, she has held multiple administrative and academic positions, including Head of the Clinical Pathology Department (2015-2022). She has received numerous awards, including the Best PhD Thesis Award (2011) and International Publications Incentive Awards (2013-present). She actively participates in quality assurance, course standardization, and accreditation processes at her faculty. Additionally, she serves as a reviewer for several prestigious journals in veterinary and environmental sciences. Prof. Engy is proficient in clinical hematology, clinical chemistry, immunology, and molecular biology techniques. She has international research experience in Germany and expertise in statistical analysis, immunohistochemistry, and avian clinical pathology.

Profile

Education ๐ŸŽ“

๐Ÿ“Œ PhD in Clinical Pathology โ€“ Mansoura University, Egypt (2010)
๐Ÿ“Œ Masterโ€™s Degree in Clinical Pathology โ€“ Mansoura University, Egypt (2004)
๐Ÿ“Œ Bachelor of Veterinary Sciences (Honors) โ€“ Mansoura University, Egypt (2000)

Prof. Engy has progressively advanced through academic ranks, demonstrating excellence in veterinary clinical pathology. Her PhD research was part of a joint internal mission program between Hannover and Egypt (2008-2009), enhancing her expertise in molecular biology, histology, and immunological techniques. She has also undergone specialized training in avian clinical pathology, clinical hematology, chemistry, and immunology. Additionally, she holds an ICDL certification from UNESCO (2006), reflecting her strong computer skills for academic and research applications.

Experience ๐Ÿ‘จโ€๐Ÿซ

๐Ÿ”น Vice Dean for Education and Student Affairs โ€“ Mansoura University (2022-2025)
๐Ÿ”น Head of Clinical Pathology Department โ€“ Mansoura University (2015-2022)
๐Ÿ”น Professor of Clinical Pathology โ€“ Mansoura University (2020-Present)
๐Ÿ”น Assistant Professor of Clinical Pathology โ€“ Mansoura University (2015-2020)
๐Ÿ”น Lecturer of Clinical Pathology โ€“ Mansoura University (2010-2015)
๐Ÿ”น Assistant Lecturer โ€“ Mansoura University (2004-2010)
๐Ÿ”น Demonstrator โ€“ Mansoura University (2001-2004)

She has significant expertise in immunohistochemistry, tissue culture, quantitative PCR, and virus infection assays from her research tenure at the University of Veterinary Medicine Hannover, Germany (2008-2009). She is also skilled in statistical analysis (t-test, ANOVA) and photographic histological documentation.

Research Interests ๐Ÿ”ฌ

๐Ÿ”ฌ Clinical Pathology โ€“ Hematology, Chemistry, Immunology
๐Ÿ”ฌ Molecular Biology โ€“ Quantitative PCR, Virus Titration, Immunofluorescence
๐Ÿ”ฌ Histopathology & Immunohistochemistry โ€“ Antigen Retrieval Techniques, Tissue Culture
๐Ÿ”ฌ Avian Clinical Pathology โ€“ Veterinary Diagnostic Applications
๐Ÿ”ฌ Statistical Analysis โ€“ t-test, ANOVA, Data Interpretation

Prof. Engy has 75 research publications in high-impact journals, covering clinical and molecular pathology applications. She is an active reviewer for international journals such as Environmental Toxicology and Pharmacology, Applied Organometallic Chemistry, and the Polish Journal of Veterinary Sciences. She also plays a key role in strategic planning, curriculum development, and accreditation for veterinary education. ๐Ÿš€

Awards & Recognitions ๐Ÿ…

๐Ÿ… Best PhD Thesis Award โ€“ Mansoura University (2011)
๐Ÿ… International Publications Incentive Award โ€“ Mansoura University (2013-present)
๐Ÿ… PhD Joint Internal Mission Program โ€“ Hannover & Egypt (2008-2009)

Prof. Engy has been recognized for her outstanding contributions to veterinary medicine and research, particularly in clinical pathology. Her international research collaboration has significantly contributed to advancing veterinary diagnostic techniques.

Publicationsย 

Peng Sun | Cross-cultural studies | Best Researcher Award

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Mr. Peng Sun | Cross-cultural studies | Best Researcher Award

PENG SUN, Ph.D., is a Chinese Canadian academic leader and researcher. He is the Dean of Siming International Academy (SIA) and a distinguished professor at Lincoln University College, Wrexham Glyndwr University, and Asia Metropolitan University. He also serves as a visiting professor at Universidad Europea Miguel de Cervantes. He is a Foreign Fellow of the American Psychological Association, a member of the Canadian Psychological Society, and a lifetime member of the Canadian Chinese Professional Association. Recognized as a high-end foreign talent by Chinaโ€™s Ministry of Science and Technology and Guangdong Province, he holds senior qualifications in human resource management. His expertise spans higher education, human resources, and organizational behavior, contributing significantly to research on trust in Chinese organizations.

Profile

Education ๐ŸŽ“

PENG SUN earned a Ph.D. in Management (Human Resources Management) from Lincoln University College (2018-2021) and a Doctor of Business Administration in Organizational Behavior from Asia Metropolitan University (2016-2018). He obtained an MBA in Management from the University of Sunderland (2009-2010). He holds a Bachelor of Human Resources Management (Hons) from York University (2004-2008) and another Bachelorโ€™s degree in Human Resource Management from the same institution (2004-2007). His qualifications also include certifications as a high-end foreign talent (2017), high-level foreign talent (2018), Level I Human Resources Professional (2018), and Level II Psychiatrist (2014). Additionally, he holds a North American Standard First Aid & CPR Level C certification from Rescue 7 Inc. (2007).

Experience ๐Ÿ‘จโ€๐Ÿซ

PENG SUN serves as the Dean of Siming International Academy (SIA), where he leads academic initiatives. He is a distinguished professor and doctoral supervisor at Lincoln University College (Shenzhen Center, PRC) and an Associate Academic Director at Wrexham Glyndwr University (China Center). Additionally, he is a distinguished professor at Asia Metropolitan University (China Center) and a visiting professor at Universidad Europea Miguel de Cervantes. He is actively involved in psychological and HR-related associations, including the American Psychological Association, the Canadian Psychological Society, and the Shenzhen Psychological Consultants Associationโ€™s Ethics Committee. His career reflects expertise in higher education leadership, human resource management, and organizational behavior.

Research Interests ๐Ÿ”ฌ

PENG SUNโ€™s research explores trust dynamics in Chinese organizations, focusing on superior-subordinate relationships, employer-employee trust, and organizational behavior. His work emphasizes how hierarchical structures impact trust and efficiency in Chinese firms. He has published extensively in journals such as the International Journal of Psychosocial Rehabilitation and the International Journal of Control and Automation. Notable studies include trust-based organizational efficiency, superior behavior structures, and interpersonal trust within hierarchical settings. His findings contribute to improving workplace relationships, organizational efficiency, and employee belonging behavior in corporate environments. His interdisciplinary research integrates psychology, human resource management, and business administration.

Awards & Recognitions ๐Ÿ…

PENG SUN has received multiple prestigious recognitions, including the “High-End Foreign Talent” qualification from the Foreign Experts Bureau of Chinaโ€™s Ministry of Science and Technology (2017) and “Guangdong Provincial High-Level Foreign Talent” status (2018). He holds a senior professional qualification in human resource management from the Occupational Skills Appraisal Center of China (2018). As a Foreign Fellow of the American Psychological Association and a member of the Canadian Psychological Society, he is acknowledged for his contributions to psychology and HR research. Additionally, he is a lifetime member of the Canadian Chinese Professional Association and an ethics committee member of the Shenzhen Psychological Consultants Association.

Publications ๐Ÿ“š

[1] Sun, P. (2020). The Relationship between Superiors and Their Subordinates: A Study ontheTrustFactor in Chinese Organizations. First Joint International Conference ATMIYA-LINCOLN2020.

[2] Sun, P. (2020). Trust Relationship between Employers and Employees: The Context of ChineseOrganizations. MAIMS International Conference (MIC’ 2020).

[3] Sun, P., Raju, V., Bhaumik, A., & Law, K. A. (2020). The Structure of Superior Behavior andIndividual Belonging Behavior Based on Trust Development Direction in Chinese Firms. International Journal of Psychosocial Rehabilitation, 24(6), 73-92. Retrieved fromDOI:
10.37200/IJPR/V24I6/PR260006.

[4] Sun, P., Raju, V., Bhaumik, A., & Law, K. A. (2020). Interpersonal Trust within an Organizationbasedon Hierarchical Context: Towards Improving Organizational Efficiency in China. International
Journal of Psychosocial Rehabilitation, 24(6), 73-92. Retrieved from DOI:
10.37200/IJPR/V24I6/PR260005.

[5] Sun, P., Law, K. A., & Bhaumik, A. (2019). Identifying the Trust Relationship between Employersand Employees: In the Context of Chinese Organizations. International Journal of Control andAutomation, 12(5), 51-62. Retrieved from
http://sersc.org/journals/index.php/IJCA/article/view/1415

[6] Sun, P., Raju, V., Bhaumik, A., & Law, K. A. (2019). Factors Determining the RelationshipbetweenSuperiors and Their Subordinates: Evaluating the Trust Factor in Chinese Organizations. International Journal of Control and Automation, 12(5), 63-76. Retrieved fromhttp://sersc.org/journals/index.php/IJCA/article/view/1416

Aakash Kumar | Path Planning | Best Researcher Award

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Dr. Aakash Kumar | Path Planning | Best Researcher Award

Dr. Aakash Kumar is a Postdoctoral Researcher at Zhongshan Institute of Changchun University of Science and Technology, China. Born in September 1987 in Pakistan, he specializes in Control Science and Engineering with expertise in AI, deep learning, and computer vision. Fluent in English, Chinese, Urdu, and Sindhi, he has worked extensively on spiking neural networks, UAV fault detection, and deep learning optimization. His research contributions span AI-driven robotics, autonomous vehicles, and computational neuroscience. Dr. Kumar has collaborated internationally, guiding Ph.D. and Masterโ€™s students, and publishing in renowned journals. He has also worked as a Machine Learning Engineer and Data Scientist. With a strong background in software development, statistical modeling, and GPU parallelization, he actively explores AI advancements. His interdisciplinary work bridges academia and industry, focusing on intelligent automation, efficient deep learning models, and AI applications in healthcare and engineering. ๐Ÿ“Š๐Ÿค–๐Ÿ”ฌ

Profile

Education ๐ŸŽ“

Dr. Aakash Kumar earned a Doctor of Engineering (2017โ€“2022) and a Masterโ€™s (2014โ€“2017) in Control Science and Engineering from the University of Science and Technology of China, specializing in Control Systems. Both degrees were fully funded by prestigious scholarships, including the Chinese Academy of Sciences-The World Academy of Sciences Presidentโ€™s Fellowship and the Chinese Government Scholarship. He also completed a Diploma in Chinese Language (2013โ€“2014) from Anhui Normal University, achieving HSK-4 proficiency. His academic journey began with a B.S. in Electronic Engineering (2007โ€“2011) from the University of Sindh, Pakistan. His education has been pivotal in shaping his expertise in AI-driven robotics, computational intelligence, and deep learning optimization. Through rigorous research and training, he has honed his skills in deep learning, reinforcement learning, and AI applications in control systems. His academic foundation supports his contributions to AI-powered automation, smart systems, and computational modeling. ๐Ÿ…๐Ÿ“ก

Experience ๐Ÿ‘จโ€๐Ÿซ

Dr. Aakash Kumar has been a Postdoctoral Researcher (2022โ€“Present) at Zhongshan Institute of Changchun University of Science and Technology, China, where he develops AI-driven solutions for robotics and deep learning applications. Previously, he worked remotely as a Machine Learning Engineer (2021โ€“2022) at COSIMA.AI Inc., USA, where he contributed to AI-based cancer detection, sign language translation, and smart vehicle monitoring. Earlier, he was a Data Scientist (2012โ€“2013) at Japan Cooperation Agency, Pakistan, analyzing agriculture and livestock data. His academic career includes a Lecturer role (2011โ€“2012) at The Pioneers College, Pakistan. He has led AI research initiatives, supervised Ph.D. and Masterโ€™s students, and optimized neural networks for industrial applications. With expertise in AI model compression, computer vision, and reinforcement learning, he has been instrumental in developing computational techniques for real-world automation, AI-powered robotics, and UAV fault detection. His work integrates deep learning, optimization, and AI-driven automation. ๐Ÿข๐Ÿค–๐Ÿ“ˆ

Research Interests ๐Ÿ”ฌ

Dr. Aakash Kumarโ€™s research focuses on AI-driven robotics, deep learning optimization, and computational intelligence. He has developed Deep Spiking Q-Networks (DSQN) for mobile robot path planning, a CNN-LSTM-AM framework for UAV fault detection, and Deep Conditional Generative Models (DCGMDL) for supervised classification. His work integrates reinforcement learning, neural network pruning, and AI-driven automation to enhance machine learning efficiency. He specializes in deep learning model compression, AI-powered automation, and collaborative data analysis methods. His projects include endoscopy fault detection, smart vehicle monitoring, and neuropsychological condition prediction using AI. With extensive experience in R, Python, TensorFlow, and MATLAB, he develops AI models for healthcare, autonomous systems, and intelligent automation. His interdisciplinary research bridges academia and industry, advancing AI for real-world applications in robotics, deep learning optimization, and intelligent control systems. ๐Ÿš€๐Ÿ“ก๐Ÿ“Š

Awards & Recognitions ๐Ÿ…

Dr. Aakash Kumar has received numerous prestigious awards, including the Chinese Academy of Sciences-The World Academy of Sciences Presidentโ€™s Fellowship (2017โ€“2022) and the Chinese Government Scholarship (2014โ€“2017, 2013โ€“2014). His AI research achievements earned recognition in top conferences, including IEEE Infoteh-Jahorina and Neurocomputing. He has been honored for his contributions to deep learning and AI-powered robotics, including Best Research Paper Awards at multiple international conferences. His work on efficient CNN optimization and deep spiking Q-networks has gained significant academic and industry recognition. As a speaker at AI conferences, he has presented on generative AI, photon-level ghost imaging, and autonomous vehicle advancements. He continues to receive accolades for his groundbreaking research in AI, robotics, and computational intelligence, solidifying his reputation as a leading expert in control systems and AI-driven automation. ๐Ÿ…๐Ÿ”ฌ๐Ÿ“ข

Publications ๐Ÿ“š

Zhenxing Cheng | Motor drive | Best Researcher Award

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Dr. Zhenxing Cheng | Motor drive | Best Researcher Award

Dr. Zhenxing Cheng is a dedicated researcher in electrical engineering at Harbin Institute of Technology, China. He earned his B.S. and M.S. degrees from Shandong University in 2017 and 2020, respectively. His expertise lies in parameter identification, robust control, and model predictive control of Permanent Magnet Synchronous Motors (PMSM). With a strong research background, he has contributed significantly to high-speed PMSM drive control technology, focusing on harmonic suppression, startup stability, and high-performance voltage regulation. His work has been validated through national and provincial-level research projects. Dr. Cheng has published numerous SCI-indexed journal papers and holds a patent in his research domain. His collaborations include contributions to The National Key R&D Plan and Guangdong Provincial Key Laboratory projects. As an active member of the research community, he continues to push the boundaries of electrical engineering, driving advancements in PMSM control technology.

Profile

Education ๐ŸŽ“

Dr. Zhenxing Cheng obtained his B.S. and M.S. degrees in Electrical Engineering from Shandong University, China, in 2017 and 2020, respectively. His academic journey has been marked by a strong foundation in electrical engineering principles, control systems, and power electronics. Currently, he is pursuing a Ph.D. in Electrical Engineering at Harbin Institute of Technology (HIT), where his research focuses on advanced motor control techniques, parameter identification, and model predictive control for Permanent Magnet Synchronous Motors (PMSM). His education has equipped him with extensive knowledge of LCL filters, active damping, and discrete methods for current control. Dr. Cheng has actively contributed to research projects funded under The National Key R&D Plan and Guangdong Provincial Key Laboratory. His rigorous academic training and research experiences have positioned him as a promising scholar in the field of electrical engineering.

Experience ๐Ÿ‘จโ€๐Ÿซ

Dr. Zhenxing Cheng has extensive research experience in motor control and power electronics. He has worked on multiple national and provincial-level research projects, including The National Key R&D Plan and Guangdong Provincial Key Laboratory grants. His expertise spans harmonic suppression, robust startup, and steady-state error minimization in high-speed PMSM applications. As a Ph.D. researcher, he has collaborated with leading scientists to propose improved control strategies for Permanent Magnet Synchronous Starter-Generators. His work has resulted in 12 journal publications, including SCI and Scopus-indexed papers. He has also contributed to four industry-sponsored consultancy projects and has one patent in process. Dr. Cheng is actively engaged in developing novel bilinear methods for current control and reducing back electromotive force effects in PMSM systems. His contributions continue to enhance the efficiency and reliability of motor control technologies.

Research Interests ๐Ÿ”ฌ

Dr. Zhenxing Chengโ€™s research revolves around advanced control strategies for Permanent Magnet Synchronous Motors (PMSM). His work focuses on parameter identification, robust control, and model predictive control techniques to enhance motor performance. He specializes in harmonic suppression, active damping, steady-state error minimization, and bilinear methods for current control. His research contributions have been validated in national and provincial-level projects, particularly in high-speed Permanent Magnet Synchronous Starter-Generator (PMS-SG) drive control. He has also explored LCL filter optimization, discrete control methods, and current harmonic reduction techniques to improve the efficiency of power systems. Dr. Cheng has published 12 journal papers and holds a patent for his innovative motor control methodologies. His research aims to develop high-performance, energy-efficient PMSM control systems, benefiting industries such as renewable energy, automotive, and aerospace. His ongoing projects continue to shape the future of motor control and power electronics.

Awards & Recognitions ๐Ÿ…

Dr. Zhenxing Cheng has received recognition for his contributions to electrical engineering research. His notable honors include funding under The National Key R&D Plan and Guangdong Provincial Key Laboratory grants for his work on PMSM drive control systems. He has been acknowledged for his outstanding publications in SCI and Scopus-indexed journals, with 12 journal articles demonstrating his expertise in motor control, parameter identification, and robust control techniques. His research on harmonic suppression and high-performance voltage regulation has earned him industry collaborations and consultancy projects. He has been nominated for the Best Researcher Award for his innovative work in LCL filter optimization, active damping techniques, and model predictive control. His patent further solidifies his reputation as an emerging leader in the field. Dr. Cheng continues to push the boundaries of electrical engineering, aiming for excellence in research and technological advancements.

Publications ๐Ÿ“š

Chunyu Liu | Cognitive Computing | Best Researcher Award

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Dr. Chunyu Liu | Cognitive Computing | Best Researcher Award

Chunyu Liu is a Lecturer at North China Electric Power University, specializing in machine learning, neural decoding, and visual attention. ๐Ÿ“š She earned her B.S. in Mathematics and Applied Mathematics from Henan Normal University, an M.S. in Applied Mathematics from Northwest A&F University, and a Ph.D. in Computer Application Technology from Beijing Normal University. ๐ŸŽ“ She completed postdoctoral training at Peking University. ๐Ÿ”ฌ Her research integrates AI methodologies with cognitive neuroscience, focusing on neural encoding, decoding, and attention mechanisms. ๐Ÿง  She has published over 10 research papers, including six SCI-indexed publications as the first author. ๐Ÿ“ Her work aims to bridge artificial intelligence with human cognitive function understanding, contributing significantly to computational neuroscience. ๐ŸŒ Liu has also been involved in several major research projects, furthering advancements in neural signal analysis and cognitive computing. ๐Ÿš€

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Education ๐ŸŽ“

Chunyu Liu holds a strong academic background in mathematics and computational sciences. She obtained her B.S. degree in Mathematics and Applied Mathematics from Henan Normal University. โž• She pursued her M.S. in Applied Mathematics at Northwest A&F University, where she deepened her expertise in mathematical modeling. ๐Ÿ”ข Continuing her academic journey, she earned a Ph.D. in Computer Application Technology from Beijing Normal University. ๐Ÿ–ฅ๏ธ Her doctoral research explored advanced AI techniques applied to neural decoding and cognitive processing. ๐Ÿง  To further refine her skills, she completed postdoctoral training at Peking University, focusing on integrating artificial intelligence with neural mechanisms. ๐Ÿ”ฌ Her academic pathway reflects a multidisciplinary approach, merging mathematics, computer science, and cognitive neuroscience to address complex challenges in brain science and AI. ๐Ÿ“Š Liuโ€™s education laid the foundation for her contributions to machine learning, visual attention studies, and neural encoding research.

Experience ๐Ÿ‘จโ€๐Ÿซ

Dr. Chunyu Liu is currently a Lecturer at North China Electric Power University, where she teaches and conducts research in cognitive computing and machine learning. ๐ŸŽ“ She has led and collaborated on multiple projects related to neural encoding and decoding, investigating how the brain processes object recognition, emotions, and attention. ๐Ÿง  Prior to her current role, she completed postdoctoral research at Peking University, where she worked on advanced AI-driven models for neural signal analysis. ๐Ÿ” Over the years, Liu has gained extensive experience in analyzing multimodal neural signals, including magnetoencephalography (MEG) and functional MRI (fMRI). ๐Ÿ“ก She has also served as a reviewer for esteemed scientific journals and collaborated with interdisciplinary research teams on AI and brain science projects. ๐Ÿ”ฌ Her expertise extends to both academia and industry, where she has contributed to the development of novel computational models for decoding brain activity. ๐Ÿš€

Research Interests ๐Ÿ”ฌ

Dr. Chunyu Liu’s research integrates artificial intelligence and brain science to understand cognitive functions through neural decoding. ๐Ÿง  She employs multi-modal neural signals such as magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) to analyze brain activity. ๐Ÿ“ก Her work explores neural encoding and decoding, focusing on object recognition, emotion processing, and multiple-object attention. ๐ŸŽฏ She develops AI-based models to extract human brain features and gain insights into cognitive mechanisms. ๐Ÿค– By integrating psychological experimental paradigms with AI, Liu aims to advance computational neuroscience. ๐Ÿ† Her research also inspires the development of new AI theories and algorithms based on principles of brain function. ๐Ÿ“Š She has led major projects in cognitive computing, contributing significantly to both theoretical advancements and practical applications in neural signal processing. ๐Ÿš€ Through her work, she bridges the gap between human cognition and artificial intelligence, driving innovations in brain-computer interface research. ๐Ÿ…

 

Awards & Recognitions ๐Ÿ…

Dr. Chunyu Liu has received recognition for her outstanding contributions to cognitive computing and AI-driven neuroscience research. ๐Ÿ… She has been nominated for the prestigious International Cognitive Scientist Award for her pioneering work in neural decoding and visual attention mechanisms. ๐ŸŽ–๏ธ Liu’s research publications have been featured in high-impact journals, earning her accolades from the scientific community. ๐Ÿ“œ Her first-author papers in IEEE Transactions on Neural Systems and Rehabilitation Engineering, Science China Life Sciences, and IEEE Journal of Biomedical and Health Informatics have been widely cited. ๐Ÿ“ She has also been honored with research grants and funding for AI-driven cognitive studies. ๐Ÿ”ฌ Her innovative work in decoding brain signals has been recognized in international AI and neuroscience conferences. ๐ŸŒ Liu’s academic excellence and contributions continue to shape the field of computational neuroscience and machine learning applications in cognitive science. ๐Ÿš€

Publications ๐Ÿ“š

Neriman Temel Aksu | Physiotherapy and Rehabilitataion | Best Researcher Award

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Dr. Neriman Temel Aksu | Physiotherapy and Rehabilitataion | Best Researcher Award

Neriman Temel Aksu is an Assistant Professor and Doctor Physiotherapist at Akdeniz University Faculty of Health Sciences, Antalya, Turkey. She completed her undergraduate degree in Physiotherapy and Rehabilitation at Istanbul University. With seven years of clinical experience at Antalya Anadolu Hospital, she later pursued a masterโ€™s degree in Movement and Exercise Sciences at Akdeniz University. She further specialized in Pulmonary Rehabilitation during her second masterโ€™s degree and earned her Ph.D. in Physiotherapy and Rehabilitation from Sรผleyman Demirel University. Her research focuses on pulmonary rehabilitation, sleep quality in post-lung resection patients, and the effects of kinesiology taping and Qigong training. She has published numerous research articles and books and is an active member of various professional organizations, including TรœSAD, Tรผrk Toraks DerneฤŸi, and the European Respiratory Society. Dr. Aksu is recognized for her contributions to physiotherapy and rehabilitation, particularly in respiratory function and post-surgical patient care.

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Education ๐ŸŽ“

Neriman Temel Aksu completed her undergraduate degree in Physiotherapy and Rehabilitation at Istanbul University. She pursued her first masterโ€™s degree in Movement and Exercise Sciences at Akdeniz University, where she explored innovative rehabilitation techniques. Recognizing the significance of respiratory physiotherapy, she completed her second masterโ€™s degree in Pulmonary Rehabilitation at Akdeniz University, deepening her expertise in respiratory function and post-surgical recovery. She then obtained her Ph.D. in Physiotherapy and Rehabilitation from Sรผleyman Demirel University, where she conducted advanced research on the effects of Qigong exercise training on patientsโ€™ shoulder and respiratory functions. Her academic journey reflects a strong commitment to evidence-based physiotherapy practices and patient-centered rehabilitation. Throughout her education, she integrated both clinical and research perspectives to enhance therapeutic outcomes, specializing in pulmonary rehabilitation, pain management, and exercise interventions for post-thoracic surgery patients. Her academic qualifications have significantly shaped her contributions to physiotherapy education and practice.

Experience ๐Ÿ‘จโ€๐Ÿซ

Dr. Neriman Temel Aksu has extensive experience in physiotherapy and rehabilitation, combining clinical practice, research, and academia. She worked as a specialist physiotherapist at Antalya Anadolu Hospital for seven years, where she gained hands-on experience in patient rehabilitation and pain management. She later transitioned to academia as a Research Assistant at Akdeniz University Faculty of Health Sciences, contributing to physiotherapy education and clinical research. After completing her doctorate, she was appointed as an Assistant Professor at Akdeniz University, where she continues to teach and mentor students while conducting research in pulmonary rehabilitation. Her expertise includes evaluating the effects of exercise therapy, kinesiology taping, and relaxation techniques on respiratory function and post-operative recovery. She has published extensively in high-impact journals and authored several books on physiotherapy. Her academic and professional journey showcases her dedication to advancing physiotherapy practices and improving patient outcomes through innovative rehabilitation approaches.

Research Interests ๐Ÿ”ฌ

Dr. Neriman Temel Aksuโ€™s research primarily focuses on pulmonary rehabilitation, respiratory function improvement, and post-operative recovery strategies. Her studies have evaluated sleep quality in lung resection patients, highlighting the role of progressive muscle relaxation exercises. She has investigated the effects of kinesiology taping on pain and respiratory function in thoracotomy patients, contributing to non-invasive rehabilitation techniques. Her doctoral research on Qigong exercise training explored its impact on shoulder mobility and lung function, providing new insights into integrative therapy for post-surgical recovery. Additionally, she has analyzed the benefits of connective tissue massage on pain relief, quality of life, and hospital stay duration. With nine peer-reviewed journal publications and multiple research projects, her work significantly influences clinical rehabilitation protocols. She actively collaborates with national and international respiratory societies to enhance physiotherapy interventions. Her research aims to advance evidence-based practices that improve patient outcomes in post-surgical and chronic respiratory conditions.

Dr. Neriman Temel Aksu has received multiple accolades for her contributions to physiotherapy and rehabilitation. Her research in pulmonary rehabilitation and post-surgical recovery has earned her recognition in national and international physiotherapy forums. She has been nominated for the Best Researcher Award, highlighting her impactful work in respiratory physiotherapy. Additionally, her studies on sleep quality, kinesiology taping, and Qigong training have been acknowledged by professional organizations such as TรœSAD and Tรผrk Toraks DerneฤŸi. She has published seven books with ISBN, contributing significantly to physiotherapy education. Her publications in SCI and Scopus-indexed journals reflect the high caliber of her research. She is an esteemed member of the European Respiratory Society, where she actively participates in collaborative research. Through her dedication to evidence-based practice and continuous contributions to physiotherapy, she has established herself as a leading researcher in rehabilitation sciences, particularly in pulmonary and post-surgical patient care.

Publications ๐Ÿ“š

Hatice ร–zsoy | Surgical Nursing | Best Researcher Award

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Dr. Hatice ร–zsoy | Surgical Nursing | Best Researcher Award

Dr. Hatice ร–zsoy is an Assistant Professor at Burdur Mehmet Akif Ersoy University, specializing in surgical nursing with a focus on perioperative care, patient comfort, and non-pharmacological interventions. She holds a PhD in Surgical Nursing from Ege University and has over a decade of experience in nursing education and research. Her work on postoperative thirst, hypothermia, and active warming has been widely recognized in international journals. She has authored multiple books, collaborated on various research projects, and is an active member of key nursing associations.

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Education ๐ŸŽ“

Dr. ร–zsoy earned her PhD in Surgical Nursing from Ege University, where she focused on perioperative patient care and non-pharmacological interventions. She holds a masterโ€™s and bachelorโ€™s degree in nursing, with specialized training in surgical care methodologies. Her academic journey includes research on perioperative thirst management, body temperature regulation, and patient comfort strategies. She has actively contributed to validating thirst-related scales and exploring innovative perioperative techniques to improve patient outcomes.

Experience ๐Ÿ‘จโ€๐Ÿซ

With extensive experience in academia and clinical nursing, Dr. ร–zsoy has worked as a lecturer, researcher, and consultant in perioperative care. She has conducted numerous research studies on surgical patient comfort, hypothermia prevention, and thirst management. She has supervised students, contributed to nursing curriculum development, and collaborated with healthcare institutions to improve perioperative care standards. Her expertise extends to non-pharmacological interventions in surgical settings, and she actively participates in international research projects and conferences.

Research Interests ๐Ÿ”ฌ

Dr. ร–zsoyโ€™s research focuses on perioperative nursing, with emphasis on thirst management, inadvertent hypothermia, patient comfort, and non-pharmacological interventions. She has explored the effects of preoperative warming techniques, the validation of thirst-related scales, and the impact of cold vapor applications on surgical patients. Her work aims to enhance patient well-being and improve perioperative care methodologies through evidence-based nursing practices.

Dr. ร–zsoy has been recognized for her contributions to surgical nursing, receiving awards for excellence in research, innovation, and academic leadership. She has been honored by various international organizations for her studies on postoperative thirst, patient comfort, and perioperative care. Her bibliometric study on thirst management has gained significant attention, and she has received accolades for her contributions to nursing education and clinical research.

Publications ๐Ÿ“š

Mudassar Raza | Machine Learning | Best Researcher Award

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Prof. Mudassar Raza | Machine Learning | Best Researcher Award

Prof. Dr. Mudassar Raza is a leading AI researcher and academician, serving as a Professor at Namal University, Mianwali, Pakistan. He is a Senior IEEE Member, Chair Publications of IEEE Islamabad Section, and an Academic Editor for PLOS ONE. With 20+ years of teaching and research experience, he has worked at HITEC University Taxila and COMSATS University Islamabad. His research spans AI, deep learning, image processing, and cybersecurity. He has published 135+ research papers with a cumulative impact factor of 215+, 6066+ citations, an H-index of 44, and an I-10 index of 93. He was listed in Elsevierโ€™s Worldโ€™s Top 2% Scientists (2023) and ranked #11 in Computer Science in Pakistan. Dr. Raza has supervised 3 PhDs, co-supervising 6 more, and mentored 100+ undergraduate R&D projects. He actively contributes to academia, industry collaborations, and curriculum development while serving as a reviewer for prestigious journals. ๐ŸŒ๐Ÿ“–

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Education ๐ŸŽ“

  • Ph.D. in Control Science & Engineering (2014-2017) โ€“ University of Science & Technology of China (USTC), China ๐Ÿ‡จ๐Ÿ‡ณ
    • Specialization: Pattern Recognition & Intelligent Systems
  • MS (Computer Science) (2009-2010) โ€“ Iqra University, Islamabad, Pakistan ๐Ÿ‡ต๐Ÿ‡ฐ
    • CGPA: 3.64 | Specialization: Image Processing
  • MCS (Master of Computer Science) (2004-2006) โ€“ COMSATS Institute of Information Technology, Pakistan
    • CGPA: 3.24 | 80% Marks
  • BCS (Bachelor in Computer Science) (1999-2003) โ€“ Punjab University, Lahore, Pakistan
    • CGPA: 3.28 | 64.25% Marks
  • Higher Secondary (Pre-Engineering) โ€“ Islamabad College for Boys
  • Matriculation (Science) โ€“ Islamabad College for Boys
    Dr. Razaโ€™s academic journey is marked by top-tier universities and a strong focus on AI, pattern recognition, and cybersecurity. ๐ŸŽ“๐Ÿ“š

Experience ๐Ÿ‘จโ€๐Ÿซ

  • Professor (2024-Present) โ€“ Namal University, Mianwali
    • Teaching AI, Cybersecurity, and Research Supervision
  • Associate Professor/Head AI & Cybersecurity Program (2023-2024) โ€“ HITEC University, Taxila
    • Led AI & Cybersecurity programs, supervised PhDs, and organized industry-academic collaborations
  • Associate Professor (2023) โ€“ COMSATS University, Islamabad
  • Assistant Professor (2012-2023) โ€“ COMSATS University, Islamabad
  • Lecturer (2008-2012) โ€“ COMSATS University, Islamabad
  • Research Associate (2006-2008) โ€“ COMSATS University, Islamabad
    Dr. Raza has 20+ years of experience in academia, R&D, and industry collaborations, contributing significantly to AI, deep learning, and cybersecurity. ๐Ÿซ๐Ÿ“Š

Research Interests ๐Ÿ”ฌ

Prof. Dr. Mudassar Razaโ€™s research revolves around Artificial Intelligence, Deep Learning, Computer Vision, Image Processing, Cybersecurity, and Parallel Programming. His work includes pattern recognition, intelligent systems, visual robotics, and AI-driven cybersecurity solutions. With 135+ international publications, he has significantly contributed to AIโ€™s real-world applications. His research impact includes 6066+ citations, an H-index of 44, and an I-10 index of 93. He leads multiple AI research groups, supervises PhD/MS students, and actively collaborates with industry and academia. His work is frequently cited, placing him among the top AI researchers globally. As an IEEE Senior Member and a PLOS ONE Academic Editor, he is a key figure in AI-driven innovations and technology advancements. ๐Ÿง ๐Ÿ“Š

  • National Youth Award 2008 by the Prime Minister of Pakistan for contributions to Computer Science ๐ŸŽ–๏ธ
  • Listed in Worldโ€™s Top 2% Scientists (2023) by Elsevier ๐ŸŒ
  • Ranked #11 in Computer Science in Pakistan by AD Scientific Index ๐Ÿ“Š
  • Senior IEEE Member (ID: 91289691) ๐Ÿ”ฌ
  • HEC Approved PhD Supervisor ๐ŸŽ“
  • Best Research Productivity Awardee at COMSATS University multiple times ๐Ÿ†
  • Recognized by ResearchGate with a Research Interest Score higher than 97% of members ๐Ÿ“ˆ
  • Reviewer & Editor for prestigious journals including PLOS ONE ๐Ÿ“
    Dr. Raza has received numerous accolades for his contributions to AI, research excellence, and academia. ๐ŸŒŸ

Publications ๐Ÿ“š

Pin Wang | Neuroimmunology | Best Researcher Award

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Dr. Pin Wang | Neuroimmunology | Best Researcher Award

Dr. Pin Wang, a female medical doctor and postdoctoral researcher, is an Associate Chief Physician in Neurology at the Second Hospital of Shandong University. She earned her PhD in Neurology from Shandong University in 2009 and was a visiting scholar at the NIH, USA. She specializes in neuroimmunology, focusing on multiple sclerosis and related disorders. Dr. Wang has led research funded by the Shandong Natural Science Foundation and the Department of Education, with multiple SCI-indexed publications.

Profile

Education ๐ŸŽ“

Dr. Wang obtained her PhD in Neurology from Shandong University School of Medicine in 2009. From 2012 to 2013, she trained at the National Institute of Neurological Disorders and Stroke (NINDS), NIH, under Dr. Bibiana Bielekova, focusing on immune-mediated neurological diseases. Her education integrates clinical neurology, research, and teaching, positioning her as an expert in demyelinating diseases and neuroimmune disorders.

Experience ๐Ÿ‘จโ€๐Ÿซ

Dr. Wang has extensive experience in neurology, combining clinical practice, teaching, and research. She worked at NIH, studying neuroimmune disease mechanisms and participated in the FDA-approved daclizumab clinical trials for multiple sclerosis. She is an Associate Chief Physician at Shandong Universityโ€™s Second Hospital and actively contributes to patient care, student training, and neurological research, particularly in neuroimmunology.

Research Interests ๐Ÿ”ฌ

Dr. Wang specializes in multiple sclerosis, neuromyelitis optica, myelitis, optic neuritis, acute disseminated encephalomyelitis, and myasthenia gravis. Her research explores immune-mediated neurological diseases, oxidative stress in demyelination, and environmental neurotoxins in neurodegenerative disorders like Alzheimerโ€™s disease.

Dr. Wang has received funding from the Shandong Natural Science Foundation and the Department of Education for her research in neurological disorders. Her contributions to neuroimmunology have been recognized through multiple SCI publications and conference presentations. She plays an active role in professional neurology and immunology committees in Shandong Province.

Publications ๐Ÿ“š

Seyed Fariborz Zarei | Application of Power Electronics in Power Grid | Best Researcher Award

Posted on by Cognitive Scientist Awards

Prof. Seyed Fariborz Zarei | Application of Power Electronics in Power Grid | Best Researcher Award

Dr. Seyed Fariborz Zarei is an Assistant Professor in the Electrical and Computer Engineering Department at Qom University of Technology, Iran. He earned his B.Sc. from Amirkabir University of Technology in 2012, ranking second in his class, followed by an M.Sc. and Ph.D. from Sharif University of Technology in 2014 and 2019, respectively. In 2018, he was a Visiting Ph.D. Scholar at Aalborg University, Denmark. Since 2021, he has been a faculty member at Qom University of Technology, where he established the Power Electronics and Grid Laboratory. He has authored over 40 research papers focusing on power electronics and electrical power engineering. His research emphasizes modeling, control, protection, and stability of power grids. Dr. Zarei has received numerous awards, including the Kezemi Ashtiani Award and the “Selected Researcher” award.

Profile

Education ๐ŸŽ“

Dr. Zarei holds a Ph.D. in Electrical Engineering (2019) from Sharif University of Technology, focusing on inverter-based AC microgrids’ protection. He was an International Visiting Graduate Student at Aalborg University, Denmark (2018), researching power electronic-based power systems. He completed his M.Sc. in Electrical Engineering (2014) at Sharif University of Technology, specializing in microgrid protection. His B.Sc. in Electrical Engineering (2012) was from Amirkabir University of Technology, where he ranked second in the Power Systems track. His academic excellence earned him a merit-based M.Sc. admission and a Research and Technology Scholarship from the Iran National Science Foundation.

Experience ๐Ÿ‘จโ€๐Ÿซ

Dr. Zarei is the Director of the Power Electronics and Grid Lab at Qom University of Technology (2022-present), leading research on DC/AC converters and power grid interactions. He has designed and implemented a 2 kVA Grid-Simulator. Previously, he was a Research Assistant at Iranโ€™s National Elites Foundation (2015-2018) and conducted experiments on inverter control at Aalborg University (2018). As a lecturer, he has taught courses on power electronics, electrical machines, reactive power control, and high-voltage substation design.

Research Interests ๐Ÿ”ฌ

Dr. Zareiโ€™s research focuses on power electronics applications in power grids, emphasizing modeling, control, protection, and stability. He investigates DC/AC converters, inverter-based AC microgrid protection, and distributed secondary control schemes. His work includes developing fault detection methods, overvoltage mitigation strategies, and high-impedance fault detection for DC microgrids. He has contributed to improving grid stability through advanced converter control techniques. His research extends to energy optimization in metro systems and power routing-based protection in HVDC grids. His findings have been published in top journals, including IEEE Transactions and Electric Power Systems Research. ๐Ÿš€

Dr. Zarei received the prestigious Kezemi Ashtiani Award from Iranโ€™s National Elite Foundation (2023) for outstanding academic and research contributions. He was recognized as the “Selected Researcher” in Electrical and Computer Engineering at Qom University of Technology (2022). He earned a Research and Technology Scholarship (2017) and was elected as a member of Iran’s National Elites Foundation (2015-2018). His academic achievements include ranking 17th in the Ph.D. KONKOOR (2014), merit-based M.Sc. admissions (2012), ranking 2nd in his B.Sc. program (2012), and securing 373rd place among 129,000 candidates in the B.Sc. KONKOOR (2008).

Publications ๐Ÿ“š