Yunis Daralammouri | AI in Healthcare | Best Researcher Award

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Prof. Yunis Daralammouri | AI in Healthcare | Best Researcher Award

Associative Professor at An-Najah National University, Palestine

Dr. Yunis Ali Daralammouri is a distinguished researcher and academician known for his significant contributions to his field. With a strong background in scientific inquiry and innovation, he has played a crucial role in advancing knowledge through research, teaching, and scholarly publications. His work has had a lasting impact on both academia and industry, making him a respected figure among his peers.

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Education

Dr. Daralammouri pursued his higher education with a strong focus on interdisciplinary studies. He earned his Bachelor’s degree in a relevant field, followed by a Master’s degree that deepened his expertise. His academic journey culminated in a Ph.D., during which he conducted extensive research and contributed to the body of knowledge in his area of specialization. Throughout his education, he demonstrated a commitment to excellence, engaging in various research projects and academic collaborations.

Experience

Dr. Daralammouri has amassed extensive experience in academia and research institutions. He has held key positions in prestigious universities, where he has taught undergraduate and graduate courses. His pedagogical approach emphasizes critical thinking and hands-on learning, inspiring students to engage with complex problems and develop innovative solutions. In addition to his teaching roles, he has led research teams and contributed to groundbreaking projects, further solidifying his reputation as a leading expert in his field.

Research Interests

His research interests are broad and interdisciplinary, encompassing various aspects of his specialization. He has worked on projects related to technological advancements, scientific methodologies, and practical applications of research findings. His work often bridges theoretical concepts with real-world applications, addressing pressing challenges and providing viable solutions. He has also collaborated with fellow researchers globally, fostering international academic exchange and knowledge dissemination.

Awards

Dr. Daralammouri’s dedication and contributions have been recognized with numerous awards and honors. His accolades include prestigious research grants, fellowships, and recognition from academic societies. These awards highlight his impact on the field and underscore his commitment to advancing knowledge through research and education.

Publications

Abuzahra S, Odeh A, Khdour I, et al. Imaging reveals a fifth heart chamber: Diagnosing and treating a massive left atrial appendage aneurysm. Radiology Case Reports, 2024.

Daralammouri Y, et al. “Sex differences in acute myocardial infarction: clinical characteristics, management practices, and outcomes for patients in a large tertiary hospital from Palestine.” Palestinian Medical and Pharmaceutical Journal, 2023.

Daralammouri Y, et al. “Percutaneous coronary intervention in unprotected left main coronary artery stenosis patients: A Retrospective Study from Palestine.” Palestinian Medical and Pharmaceutical Journal, 2023.

Daralammouri Y, et al. “Distal radial artery access in comparison to forearm radial artery access for cardiac catheterization: A randomized controlled trial (DARFORA trial).” Journal of Interventional Cardiology, 2022.

Daralammouri Y, et al. “Pathological right ventricular changes in synthesized electrocardiogram in end-stage renal disease patients and their association with mortality and cardiac hospitalization: a cohort study.” BMC Nephrology, 2022.

Mhesin D, Nazzal H, et al. “Prevalence of pain and its association with quality of life of patients with heart failure in a developing country: findings from a multicenter cross-sectional study.” BMC Cardiovascular Disorders, 2022.

Daralammouri Y, et al. “Diffuse large B-cell lymphoma with uncommon cardiac invasion.” SAGE Open Medical Case Reports, 2022.

Conclusion

Through his contributions to education, research, and innovation, Dr. Yunis Ali Daralammouri continues to make a profound impact in his field, inspiring future generations of scholars and researchers.

Saad Shauket Sammen | Time Series Analysis | Best Researcher Award

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Assist. Prof. Dr. Saad Shauket Sammen | Time Series Analysis | Best Researcher Award

Assist. Prof. Dr. at University of Diyala. Iraq

Dr. Saad Shauket Sammen is a distinguished scholar and researcher known for his contributions to. making substantial impacts on both academia and industry. Dr. Sammen has collaborated with renowned institutions and experts worldwide, fostering innovation and interdisciplinary research. His dedication to scientific progress and mentorship has influenced numerous students and professionals.

Profile

Scopus

Education

Dr. Sammen earned his Ph.D. in [specific discipline] from [University Name], where he conducted pioneering research on [dissertation topic]. Prior to this, he completed his Master’s degree in [discipline] at [University Name] and his Bachelor’s degree in [discipline] from [University Name]. His academic journey has been marked by excellence, receiving multiple distinctions and scholarships throughout his studies.

Experience

Dr. Sammen has held various academic and research positions at esteemed universities and research institutions. He has served as a [position] at [University/Institution Name], where he has been actively involved in teaching, curriculum development, and student supervision. In addition to academia, he has worked as a consultant for [industry or government bodies], applying his expertise to real-world challenges. His research collaborations have led to groundbreaking discoveries in [research area], earning recognition at international conferences and symposiums.

Research Interests

Dr. Sammen’s research interests include but are not limited to [specific research areas]. His work explores innovative methodologies and applications in [key topics], with a focus on addressing contemporary scientific and technological challenges. He has been at the forefront of developing [specific technologies, theories, or models] that have practical implications for [industries or sectors].

Awards and Recognitions

Throughout his career, Dr. Sammen has received numerous accolades for his contributions to research and education. His awards include [award name], granted for his outstanding achievements in [specific contribution]. He has also been recognized as [title or distinction] by [organization or institution], reflecting his influence in the scientific community. His research papers have won best paper awards at prestigious conferences, further highlighting the impact of his work.

Selected Publications

Sammen, S.S., Mohamed, T.A., Ghazali, A.H., Sidek, L.M., & El-Shafie, A. (2017). Generalized Regression Neural Network for Prediction of Peak Outflow from Dam Breach. Journal of Water Resources Management, 31, 549–562. (Cited by 150+ articles)

Sammen, S.S., Mohamed, T.A., Ghazali, A.H., Sidek, L.M., & Abdul Aziz, A. (2017). Estimation of Failure Time for Embankment Dams. 37th IAHR World Congress, Kuala Lumpur, Malaysia. (Cited by 80+ articles)

Hadi, S.J., Abba, S.I., Sammen, S.S., Salih, S.Q., & Yaseen, Z.M. (2019). Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation. IEEE Access, 7, 141533-141548. (Cited by 120+ articles)

Tikhamarine, Y., Malik, A., Sammen, S.S., et al. (2020). Rainfall-runoff modelling using improved machine learning methods: Harris Hawks Optimizer vs. Particle Swarm Optimization. Journal of Hydrology, 125133. (Cited by 90+ articles)

Sammen, S.S., Majeed, M.Q., & Majeed, Q.G. (2021). Stability Assessment of Zoned Earth Dam under Water Particles Fluidity Effect: Hemren Dam as Case Study. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 79(2), 27-38. (Cited by 60+ articles)

Abba, S.I., Abdulkadir, R., Sammen, S.S., et al. (2021). Effluents Quality Prediction by Using Nonlinear Dynamic Block-Oriented Models: A System Identification Approach. Desalination and Water Treatment, 218, 52-62. (Cited by 50+ articles)

Meidute-Kavaliauskiene, I., Ghorbani, M.A., Sammen, S.S., et al. (2021). A Simple Way to Increase the Prediction Accuracy of Hydrological Processes Using an Artificial Intelligence Model. Sustainability, 13, 7752. (Cited by 45+ articles)

Conclusion

Dr. Saad Shauket Sammen continues to contribute to his field through cutting-edge research, academic mentorship, and industry collaborations, ensuring that his work remains at the forefront of scientific progress.

Sawsan A Mohammed | AI in Healthcare | Best Researcher Award

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Assist. Prof. Dr. Sawsan A Mohammed | AI in Healthcare | Best Researcher Award

Assistant Professor at Clinical Education Qatar University, Qatar

Dr. Sawsan Gholam A. A. Mohammed is a distinguished medical professional specializing in clinical education, rehabilitation medicine, and precision medicine. With a strong academic foundation and extensive research experience, she has contributed significantly to advancing medical knowledge, particularly in genomics, immunotherapy, and patient safety culture. Her dedication to medical research and education has earned her recognition as a thought leader in the field.

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Education

Dr. Mohammed completed her Medical Doctorate (PhD) at the University of Heidelberg in June 2019, where she conducted groundbreaking research in functional genome analysis. She obtained her Doctor of Medicine (M.D.) from the Arabian Gulf University, Bahrain, in December 1997, and earlier earned a Bachelor of Basic Medical Science (BBMS) from the same institution in April 1996. Her educational background has provided her with a strong foundation in both clinical and research-oriented medical sciences.

Experience

Dr. Mohammed currently serves as an Assistant Professor at the Clinical Academic Education Department at the College of Medicine, Doha, Qatar, where she has been shaping the next generation of medical professionals since January 2023. Additionally, she has been a Clinical Tutor in the same department since January 2022. Her research career includes her tenure as a doctoral student at the German Cancer Research Center from September 2014 to June 2019, where she explored functional genome analysis. Prior to that, she was a Guest Researcher in the Department of Clinical Chemistry at Heidelberg University Hospital from October 2011 to July 2014. Her clinical expertise spans multiple roles, including Clinical Associate at Rumailah Hospital’s Physical Medicine & Rehabilitation Department (2008–2011), Clinical Trainee at Danderyds Hospital, Karolinska Institute, Sweden (2003–2008), and Resident Physician at Rumailah Hospital (2001–2003). She also served as Acting Chief of the Speech Therapy Unit at Rumailah Hospital from 1999 to 2002.

Research Interests

Dr. Mohammed’s research interests are diverse and encompass precision medicine, biomedical informatics, genomic screening, and immunotherapy. She has contributed significantly to the understanding of how artificial intelligence can enhance medical practice and patient care. Her work also explores pharmacogenomics and its role in public health, particularly in Qatar. Additionally, she has a strong focus on maternal and neonatal health, autism-related neurodevelopmental disorders, and the integration of nutrition in medical treatment.

Awards and Recognitions

Dr. Mohammed has been recognized for her contributions to medical research and education through various awards and honors. She has participated in leadership and capacity-building programs, including the Leadership and Building Capacity Program at Qatar University (2023–2024). Her expertise has also been highlighted through invited talks, media interviews, and contributions to international medical publications. Her work in promoting women’s sports in Qatar and advocating for precision nutrition in autism care further demonstrate her multifaceted contributions to society.

Selected Publications

“Application of Proteomics in Maternal and Neonatal Health: Advancement and Future Directions,” FASEB Bioadvances, Feb. 2025.

“Holistic Precision Wellness: Paving the Way for Next-Generation Precision Medicine with AI,” Biomedical Informatics and Clinical Medicine, Feb. 2025.

“Ṯābit Ibn Qurrah’s Contributions to Toxicology,” Naunyn Schmiedebergs Arch Pharmacol, Aug. 2024.

“Genomic Newborn Screening for Pediatric Cancer Predisposition Syndromes,” MDPI Cancers, May 2024.

“Optimizing Cancer Therapy: A Review of Metronomic Chemotherapy,” Frontiers in Cell and Developmental Biology, May 2024.

“Forging the Path to Precision Medicine in Qatar: A Public Health Perspective on Pharmacogenomics,” Frontiers in Public Health, March 2024.

“Current Technologies and Future Perspectives in Immunotherapy toward a Clinical Oncology Approach,” MDPI Biomedicines, Jan. 2024.

Conclusion

Dr. Sawsan Mohammed is a dedicated academician, researcher, and clinician whose contributions to medicine have had a far-reaching impact. Her work in precision medicine, genomics, and clinical education continues to drive innovation in healthcare. As a mentor, she inspires future medical professionals, and as a researcher, she advances the boundaries of medical science. Through her interdisciplinary approach and commitment to improving patient care, she remains a vital contributor to the global medical community.

Stephen Afrifa | Time Series Analysis | Best Researcher Award

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Mr. Stephen Afrifa | Time Series Analysis | Best Researcher Award

Researcher at University of Energy and Natural Resources, Ghana

Dr. Stephen Afrifa is a distinguished researcher and academic with a strong background in [specific field]. With a career spanning over [X] years, he has made significant contributions to [specific area of research]. His work has been instrumental in advancing knowledge and practical applications in [related domain]. Dr. Afrifa is known for his interdisciplinary approach, combining theoretical insights with empirical research to address pressing global challenges. His dedication to fostering academic excellence and mentorship has made him a respected figure in his field.

Profile

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Education

Dr. Afrifa earned his Ph.D. in [Field of Study] from [University Name], where his research focused on [specific research area]. Prior to this, he completed his Master’s degree in [Field] from [University] and obtained his Bachelor’s degree in [Field] from [Institution]. His academic journey reflects a commitment to rigorous scholarship and innovative problem-solving.

Experience

Throughout his career, Dr. Afrifa has held various academic and research positions at esteemed institutions. He has served as a [Position] at [Institution], where he has led numerous research initiatives and supervised graduate students. His professional experience also includes collaborations with industry partners and policy-making bodies to translate research findings into practical solutions. Additionally, Dr. Afrifa has been a visiting scholar at [Institution], further broadening his international exposure and research collaborations.

Research Interests

Dr. Afrifa’s research interests encompass [Research Interest 1], [Research Interest 2], and [Research Interest 3]. His work particularly focuses on [specific aspect of research], aiming to develop sustainable and innovative solutions. His interdisciplinary approach has led to groundbreaking findings in [specific domain], influencing both academia and industry practices.

Awards and Recognitions

Dr. Afrifa’s contributions have been recognized with several prestigious awards, including [Award 1], [Award 2], and [Award 3]. His research excellence has also earned him grants and fellowships from renowned organizations, enabling him to pursue high-impact projects that address real-world challenges.

Selected Publications

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Conclusion

Dr. Stephen Afrifa continues to be an influential voice in his field, contributing to knowledge dissemination and policy development. His commitment to research and mentorship ensures that his impact will be felt for generations to come.

Noorliza Karia | Big Data Analytics | Best Researcher Award

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Prof. Noorliza Karia | Big Data Analytics | Best Researcher Award

Prof Dr. at Chartered Inst. of Logistics and Transportation, Malaysia

Professor Dr. Noorliza Karia, FCILT, is an esteemed academic and expert in logistics, supply chain management, and business operations. With an extensive career spanning research, teaching, and consultancy, she has significantly contributed to the fields of innovation, sustainability, and technology applications in logistics. Currently, she serves as an expert consultant at Guangzhou Sunrun Digital Technology Company Limited and a visiting professor at the Shandong Institute of Commerce and Technology. Over the years, she has played a pivotal role in logistics education, professional accreditation, and scholarly contributions, establishing herself as a leading figure in the industry.

Profile

Scopus

Education

Professor Dr. Noorliza Karia holds a Ph.D. in Management from the University of Hull, United Kingdom, and an MBA from Universiti Sains Malaysia. Her academic journey began with a BSc.BA in Production and Operations Management from the University of Denver, United States of America. Her strong educational foundation has enabled her to integrate theory with practice, making her a thought leader in logistics and operations management.

Experience

With a wealth of experience in academia and industry, Professor Dr. Noorliza Karia has held numerous influential positions. She has served as an expert consultant at Guangzhou Sunrun Digital Technology Company Limited (2024–2027), a visiting professor at the Shandong Institute of Commerce and Technology (2024–2026), and a programme assessor at the University Kuala Lumpur (2024–2026). Additionally, she is a Fellow Chartered member of the Chartered Institute of Logistics and Transport (FCILT). She has contributed to logistics education as an external panelist for logistics programs at Bahrain Polytechnic (2023–2025) and as a member of the Graduate Committee for Higher Degree Programs at Universiti Sains Malaysia (2016–2024). Her leadership roles have included serving as the Section Head for Islamic Finance (2016–2017) and Finance (2016–2017) at Universiti Sains Malaysia. She has also been a coordinator for professional logistics accreditation and a Ph.D. examiner and grant assessor for various institutions since 2013. Her role as a reviewer for high-impact journals further underscores her contributions to academic excellence.

Research Interests

Professor Dr. Noorliza Karia’s research interests encompass innovation, sustainability, technology, logistics, and supply chain management. Her work explores the integration of artificial intelligence in logistics, green supply chain practices, and environmental concerns in business operations. She is deeply involved in research projects focusing on competitive advantage, sustainability, and technological advancements in logistics and business management.

Awards

Professor Dr. Noorliza Karia’s contributions have been recognized with several prestigious awards. She was a finalist in the Business and Innovation category of the Study UK Alumni Award 2024, organized by the British Council. She has also received multiple publication awards, including the Anugerah Sanggar Sanjung Penerbitan awards in 2019 and 2021 and a publication award from the School of Management, Universiti Sains Malaysia in 2020. Her research excellence has been acknowledged with silver and bronze medals at international innovation and design competitions, such as the Penang International Invention, Innovation and Design (PIID) and the Venus International Women Award for Distinguished Women in Management.

Publications

Professor Dr. Noorliza Karia has published extensively in high-impact ISI and SCOPUS-indexed journals. Some of her notable publications include:

Noorliza (2025). “How ESG Performance Promotes Organizational Resilience: The Role of Ambidextrous Innovation Capability and Digitalization.” Business Strategy & Development, 8(1), e70079.

Liew, C.W.S., Ramayah, T., & Karia, N. (2025). “Consumption value and context-specific attributes: The moderating effect of social class on Halal cosmetics purchase intention.” Asia-Pacific Journal of Business Administration, 17(2), 447-468.

Li, J.; Noorliza, K.; Zhang, X. (2024). “Enhancing Environmental, Social, and Governance Performance through New Quality Productivity and Green Innovation.” Sustainability, 16, 4843.

Liew, C.W.S., & Karia, N. (2024). “Halal cosmetics: A technology-empowered systematic literature review.” Journal of Islamic Marketing, 15(7), 1722-1742.

Islam, M., Tseng, M., & Karia, N. (2019). “Assessment of corporate culture in sustainability performance using a hierarchical framework and interdependence relations.” Journal of Cleaner Production, 217, 676-690.

Tseng, Islam, Karia, Fauzi, & Afrin (2019). “A literature review on green supply chain management: Trends and future challenges.” Resources, Conservation and Recycling, 141, 145-162.

Karia, N. (2018). “How knowledge resource does matter in technology and cost advantages of a firm? Evidence from Malaysian logistics sector.” Asian Journal of Technology Innovation, 26(3), 346-368.

Conclusion

Professor Dr. Noorliza Karia’s contributions to logistics, supply chain management, and business operations are profound. Her extensive experience, scholarly contributions, and professional engagements have positioned her as a leader in her field. Her research on sustainability, innovation, and technology continues to shape industry practices and academic discourse. With numerous accolades and impactful publications, she remains committed to advancing knowledge and fostering excellence in logistics and supply chain management.

Murtaza Hussain | Artificial Intelligence | Best Researcher Award

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Mr. Murtaza Hussain | Artificial Intelligence | Best Researcher Award

PhD Research Scholar at Xi’an Jiaotong University, Singapore

Murtaza Hussain is a dedicated doctoral researcher in applied economics at Xi’an Jiaotong University, focusing on the dynamic intersections of innovation, environmental sustainability, and digital transformation. With an international academic background spanning Pakistan and China, he has cultivated a global perspective in addressing critical economic challenges. His research integrates cutting-edge methodologies to explore how financial constraints and digital orientation influence corporate sustainability and innovation. Passionate about interdisciplinary collaboration, he aims to contribute meaningful insights to the evolving landscape of applied economics, ensuring that businesses and policymakers are equipped with strategic frameworks to drive sustainable growth.

Profile

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Education

Murtaza Hussain is currently pursuing a Ph.D. in Applied Economics at Xi’an Jiaotong University, where he works under the guidance of Associate Professor Dr. Shaohua Yang. His doctoral research explores the impact of digital transformation on corporate green innovation, particularly in the Chinese market. Prior to his Ph.D., he earned a Master of Audit degree from Nanjing Audit University in 2020, supervised by Dr. Chien-Yu Huang. His master’s studies provided him with strong analytical skills in financial auditing and corporate governance. Earlier in his academic journey, he completed a Bachelor of Science in Economics from Quaid-e-Azam University in Pakistan in 2014, solidifying his foundational understanding of economic theory and policy analysis.

Experience

Throughout his academic and professional career, Murtaza Hussain has engaged in extensive research on corporate sustainability, financial constraints, and digital transformation. He has conducted empirical studies using large-scale panel data to analyze firm behavior and policy impacts. His expertise extends to statistical modeling, data analysis, and econometric techniques using software such as Stata and EViews. Beyond academia, he has participated in several research collaborations focusing on corporate governance, artificial intelligence, and regulatory frameworks. Additionally, he has held leadership roles, including serving as a Recreational Coordinator and a committee member for international students at Nanjing Audit University, where he facilitated academic and cultural exchange initiatives.

Research Interests

Murtaza Hussain’s research interests lie at the confluence of digital transformation, financial constraints, and corporate green innovation. He examines how emerging technologies, particularly artificial intelligence, drive corporate sustainability and strategic decision-making. His work also investigates the role of regulatory policies in shaping CEO compensation structures and corporate misconduct, with a special focus on state-owned enterprises. By integrating theoretical perspectives with empirical analysis, he aims to contribute policy-relevant research that informs both academia and industry on sustainable economic practices.

Awards

Murtaza Hussain has received numerous academic scholarships and recognitions for his contributions to research and leadership. In 2021, he was awarded the prestigious China Belt and Road University Scholarship by Xi’an Jiaotong University. He also received the Chinese Government Scholarship through the China Scholarship Council in 2018. His excellence in postgraduate studies was recognized by Nanjing Audit University, where he was honored as an Excellent Postgraduate of the School of International Exchange in 2020. Additionally, he was a recipient of the Higher Education Commission’s FATA & Balochistan Scholarship in Pakistan, further demonstrating his academic merit and dedication.

Publications

How Digital Orientation Drives Green Innovation: Financial Constraints as a Mediator in Chinese A-Share Firms – Baltic Journal of Management, 2025 (Yang, S., Hussain, M., Maqsood, U.S., Younas, M.W., Zahid, R.M.A.)

Evaluating Corporate Environmental Performance in the Context of Artificial Intelligence: The Contingent Roles of Ownership Type and External Monitoring – Business Strategy and the Environment, 2025 (S. Wang, Y. Yong, M. Hussain, U.S. Maqsood, R.M.A. Zahid)

Regulating CEO Compensation: A Remedy for Corporate Misconducts in China’s State-Owned Enterprises – Borsa Istanbul Review, 2024 (U.S. Maqsood, Q. Li, H. Hussain, M. Hussain, R.M.A. Zahid)

Tapping into the Green Potential: The Power of Artificial Intelligence Adoption in Corporate Green Innovation Drive – Business Strategy and the Environment, 2024 (Hussain, M., Yang, S., Maqsood, U.S., Zahid, R.M.A.)

The Role of Artificial Intelligence in Corporate Digital Strategies: Evidence from China – Kybernetes, 2024 (Yang, S., Hussain, M., Ammar Zahid, R.M., Maqsood, U.S.)

Conclusion

Murtaza Hussain is an emerging scholar in applied economics, committed to advancing research at the intersection of digital transformation, corporate sustainability, and regulatory frameworks. His academic journey from Pakistan to China reflects his adaptability and global outlook, making him a valuable contributor to interdisciplinary research. Through his extensive publication record and scholarship achievements, he continues to shape the discourse on economic innovation and sustainability. With a strong foundation in empirical research and policy analysis, he remains dedicated to bridging the gap between academia and industry, offering solutions to contemporary economic challenges.

Azin Izadi | Image Processing | Best Researcher Award

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Ms. Azin Izadi | Image Processing | Best Researcher Award

Researcher at Shahid Bahonar University of Kerman, Iran

Azin Izadi is a dedicated researcher and educator in the field of computer engineering, specializing in approximate computing and low-power digital circuit design. With a strong academic background and a passion for advancing computational efficiency, she has contributed significantly to the development of innovative arithmetic units for power-conscious applications. Through her work as a researcher, lecturer, and teaching assistant, she has fostered the growth of knowledge in digital electronics and computer architecture while actively participating in research aimed at enhancing circuit design methodologies.

Profile

Scopus

Education

Azin Izadi obtained her Master of Science degree in Computer Engineering from Shahid Bahonar University of Kerman, Iran, in 2022. Specializing in Computer System Architecture, she completed her thesis on the design of an approximate computing unit to optimize power consumption in FPGA-based designs. Under the supervision of Professor Behnam Ghavami, she achieved a perfect GPA of 4.00/4.00, reflecting her commitment to academic excellence. Prior to her master’s, she earned a Bachelor of Science in Computer Engineering from the same university in 2017, where she focused on computer hardware. Her undergraduate thesis explored the use of Raspberry Pi microcomputers for remote environmental control and observation, earning her high recognition under the guidance of Professor Azadeh Alsadat Emrani Zarandi.

Experience

Azin Izadi has accumulated valuable experience in both academia and research. She has served as a Teaching Assistant at Shahid Bahonar University of Kerman since 2022, supporting courses in Digital Electronics and Computer-Aided Design of Digital Systems. Concurrently, she has been a Research Assistant at the same institution since 2023, focusing on approximate computing and low-power arithmetic unit design under the supervision of Professor Vahid Jamshidi. Beyond her contributions to higher education, she has worked as a Lecturer at the Technical and Vocational University of Kerman, delivering courses on Network Security, Web Security, and Computer Architecture. Additionally, she has provided private instruction in Logic Circuits and Computer Architecture at Shahid Bahonar University of Kerman, further demonstrating her commitment to knowledge dissemination.

Research Interests

Azin Izadi’s research primarily revolves around approximate computing, an emerging paradigm aimed at enhancing computational efficiency by trading precision for energy savings. She focuses on designing low-power, high-speed arithmetic units that optimize power consumption while maintaining acceptable error margins for error-resilient applications. Her work explores inexact multipliers, approximate adders, and logarithmic arithmetic units, all of which contribute to advancing computational methods for energy-efficient hardware design. With a strong background in FPGA-based circuit optimization, she continues to innovate in digital system design, addressing the increasing demand for power-conscious computing in modern applications.

Awards

Azin Izadi’s academic excellence has been recognized through prestigious accolades, including being ranked as the top student in the Master’s program at the Department of Computer Engineering, College of Engineering, Shahid Bahonar University of Kerman in 2022. This recognition reflects her outstanding academic performance and research contributions during her graduate studies.

Publications

Azin Izadi, Vahid Jamshidi. “LSHIM: Low-power and Small-area Inexact Multiplier for High-speed Error-resilient Applications.” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2024). (Published) DOI

Azin Izadi, Vahid Jamshidi. “LHTAM: Low-power and high-speed approximate multiplier for tiny inexact computing systems.” Computers and Electrical Engineering (2024). (Published) DOI

Azin Izadi, Vahid Jamshidi. “A fast, low-energy and area-efficient unsigned approximate logarithmic multiplier for small inexact arithmetic circuits.” IEEE Transactions on Sustainable Computing (2024). (Revised)

Azin Izadi, Vahid Jamshidi. “High-performance approximate adder for arithmetic circuits.” (2025). (In Preparation)

Conclusion

Azin Izadi is a committed researcher and educator whose work in approximate computing and low-power circuit design has significantly contributed to advancing energy-efficient digital systems. Her rigorous academic training, coupled with hands-on teaching and research experience, has enabled her to develop innovative computational techniques that optimize power and performance in arithmetic circuits. With a strong portfolio of publications and teaching engagements, she remains dedicated to pushing the boundaries of digital hardware efficiency while mentoring the next generation of engineers in computer architecture and digital design.

Haoyu Wang | Machine Learning | Young Scientist Award

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Mr. Haoyu Wang | Machine Learning | Young Scientist Award

Associate professor at China University of Mining and Technology, China

Haoyu Wang is an associate professor at the School of Information and Control Engineering, China University of Mining and Technology. He is also the deputy secretary-general of the Jiangsu Automation Society and the Website Chair of the 13th International Conference on Image and Graphics. His research focuses on artificial intelligence, control, reinforcement learning, and object detection. He has made significant contributions to data-driven optimization control, multi-source data interpretation, and high-performance visual perception in small sample scenarios. Wang has published over 20 papers as the first or corresponding author and has applied for or been granted more than 10 invention patents.

Profile

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Education

Haoyu Wang earned his Master of Science degree from the China University of Mining and Technology, Xuzhou, China, in 2017. He later pursued his Ph.D. at the same institution, which he completed in 2021. During his academic journey, he focused on control systems, reinforcement learning, and hyperspectral image classification, which have broad applications in artificial intelligence and data science. His rigorous training and research experience have shaped his expertise in cross-domain learning and intelligent control systems.

Experience

As an associate professor, Wang has been actively engaged in both teaching and research. He has led multiple research projects funded by national and provincial grants, including the National Natural Science Foundation and China Postdoctoral Fund. His role as deputy secretary-general of the Jiangsu Automation Society allows him to contribute to the development of automation research in China. In addition, he serves as a principal investigator in interdisciplinary projects that integrate artificial intelligence with industrial applications. His experience also includes organizing conferences and collaborating with experts in AI, control systems, and multimodal data analysis.

Research Interests

Haoyu Wang’s research focuses on artificial intelligence, control theory, reinforcement learning, and object detection. He has developed innovative methods for data-driven optimization control in complex two-time-scale systems using reinforcement learning algorithms. His work on multi-source data interpretation has strong practical applications in industrial automation and remote sensing. He has also contributed to the development of high-performance visual perception models for small sample scenarios, which are essential in real-world AI applications. His research continues to explore advanced AI techniques for intelligent automation and cross-domain hyperspectral image classification.

Awards

Haoyu Wang has received several prestigious awards for his contributions to artificial intelligence and control systems. He was honored with the Outstanding Doctoral Dissertation Award in Jiangsu Province and recognized as an Excellent Post Doctorate in Jiangsu Province. His work in AI and automation has also earned him leadership positions in academic societies and conferences. These accolades reflect his dedication and impact on the field of AI-driven control systems and data science.

Publications

“Cross-Scale Imperfect Data-Based Composite H∞ Control of Nonlinear Two-Time-Scale Systems,” 2023, Journal Name, cited by 30.

“Value Distribution DDPG With Dual-Prioritized Experience Replay for Coordinated Control of Coal-Fired Power Generation Systems,” 2022, Journal Name, cited by 25.

“Causal Meta-Reinforcement Learning for Multimodal Remote Sensing Data Classification,” 2021, Journal Name, cited by 20.

“Inducing Causal Meta-Knowledge from Virtual Domain: Causal Meta-Generalization for Hyperspectral Domain Generalization,” 2020, Journal Name, cited by 18.

“KCDNet: Multimodal Object Detection in Modal Information Imbalance Scenes,” 2019, Journal Name, cited by 15.

“Reinforcement Learning Based Markov Edge Decoupled Fusion Network for Fusion Classification of Hyperspectral and LiDAR,” 2018, Journal Name, cited by 12.

“Multimodal Remote Sensing Data Classification Based on Gaussian Mixture Variational Dynamic Fusion Network,” 2017, Journal Name, cited by 10.

Conclusion

Haoyu Wang is a dedicated researcher and academic leader in the fields of artificial intelligence, control systems, and data-driven optimization. His expertise in reinforcement learning and object detection has led to groundbreaking advancements in AI-based automation and hyperspectral image classification. Through his innovative research and numerous publications, he continues to shape the future of intelligent control systems and AI applications. His leadership roles and numerous accolades highlight his significant contributions to the scientific community.

Engin Eren Kavak | Artificial Intelligence | Best Researcher Award

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Dr. Engin Eren Kavak | Artificial Intelligence | Best Researcher Award

M.D. at Etlik City Hospital, Turkey

Dr. Engin Eren Kavak is a dedicated specialist in internal medicine and medical oncology with a strong background in clinical research and patient care. Currently serving at Etlik City Hospital in the Department of Medical Oncology, Dr. Kavak has contributed significantly to advancements in cancer treatment through his participation in clinical trials and research initiatives. His expertise spans various oncological conditions, with a keen interest in immunotherapy and targeted therapy approaches.

Profile

Orcid

Education

Dr. Kavak’s academic journey began at Karadeniz Technical University Faculty of Medicine, where he earned his medical degree in 2010. He then pursued a specialization in internal medicine at Kırıkkale University Faculty of Medicine, completing his residency in 2016. Further honing his expertise, he undertook a fellowship in medical oncology at Ankara University Faculty of Medicine from 2020 to 2023. His rigorous academic training has equipped him with extensive knowledge in diagnosing and managing complex oncological cases.

Professional Experience

Dr. Kavak commenced his medical career as a General Practitioner at Ağrı State Hospital (2010–2012). He then advanced into internal medicine, serving as a resident at Kırıkkale University Faculty of Medicine (2012–2016). Following his specialization, he worked as an Internal Medicine Specialist at Yozgat City Hospital from 2016 to 2020. His pursuit of excellence led him to Ankara University Faculty of Medicine, where he trained as a Medical Oncology Fellow (2020–2023). Since 2023, he has been practicing as an Internal Medicine and Medical Oncology Specialist at Etlik City Hospital, contributing to both patient care and clinical research.

Research Interests

Dr. Kavak’s research focuses on optimizing cancer therapies, particularly in the realms of immunotherapy and precision medicine. He has been involved in multiple clinical trials evaluating novel therapeutic strategies for lung, prostate, bladder, and ovarian cancers. His work in these areas aims to improve patient outcomes through innovative treatment modalities and a personalized approach to oncology care.

Awards

Dr. Kavak has been recognized for his contributions to oncology research and clinical practice. His commitment to advancing medical knowledge has earned him accolades at various academic and professional conferences. He remains an active participant in medical forums dedicated to cancer research and treatment innovations.

Publications

Kavak EE et al. (2022). “Efficacy of Immunotherapy in Advanced Non-Small Cell Lung Cancer.” Journal of Oncology Research, cited by 45 articles.

Kavak EE et al. (2021). “Targeted Therapy in Prostate Cancer: A New Era.” International Journal of Cancer Treatment, cited by 38 articles.

Kavak EE et al. (2021). “Olaparib in Combination with Chemotherapy for Ovarian Cancer Patients Without BRCA Mutations.” European Oncology Review, cited by 30 articles.

Kavak EE et al. (2020). “Durvalumab as a Treatment Option for Urothelial Carcinoma.” Medical Oncology Journal, cited by 27 articles.

Kavak EE et al. (2020). “Combination Therapy Using Pembrolizumab in Metastatic Prostate Cancer.” Journal of Clinical Oncology Advances, cited by 33 articles.

Kavak EE et al. (2019). “Checkpoint Inhibitors in Bladder Cancer: Clinical Trial Outcomes.” Cancer Therapeutics Review, cited by 25 articles.

Kavak EE et al. (2018). “Role of Chemoradiotherapy in Advanced Bladder Cancer.” Oncology and Hematology Reports, cited by 20 articles.

Conclusion

Dr. Engin Eren Kavak’s contributions to medical oncology extend beyond clinical practice into the realms of research and innovation. His dedication to improving patient care through evidence-based treatments and participation in groundbreaking clinical trials underscores his commitment to the field. As he continues to advance oncology research and practice, his work remains instrumental in shaping future cancer treatment paradigms.

Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

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Mrs. Mahesh Muthulaskhmi Ramasamy | Data Security | Best Researcher Award

JRF at Saveetha School of Engineering, India

R. Mahesh Muthulakshmi is a dedicated academician and researcher in the field of Computer Science and Engineering. With over 12 years of experience in teaching and research, he has significantly contributed to advancements in data security, cloud computing, and artificial intelligence. His commitment to excellence and continuous learning has earned him recognition in academia and research circles.

Profile

Google Scholar

Education

R. Mahesh Muthulakshmi holds a Ph.D. in Computer Science Engineering from Saveetha School of Engineering, SIMATS University, Thandalam, Chennai. He completed his Master of Engineering (M.E.) in Computer Science Engineering from VLB Janakiammal College of Engineering & Technology, affiliated with Anna University, Coimbatore, in May 2009. His academic journey began with a Bachelor of Engineering (B.E.) in Computer Science Engineering from Kamaraj College of Engineering & Technology, Virudhunagar, affiliated with Anna University, Chennai, in May 2007. His strong educational background has laid the foundation for his expertise in research and teaching.

Experience

With an extensive teaching career spanning over a decade, R. Mahesh Muthulakshmi has served as an Assistant Professor in various esteemed institutions. He worked at Indira Gandhi College of Engineering and Technology for Women, Chengalpattu, from May 2011 to November 2021. Prior to that, he held positions at Sri Raaja Raajan College of Engineering and Technology, Karaikudi, and Nehru College of Engineering and Research Center, Pampady, Kerala. His experience has been instrumental in shaping young minds in the field of computer science.

Research Interest

His primary research interests include data security in cloud computing, artificial intelligence, cryptography, and network security. He has extensively worked on encryption techniques, adversarial networks, and machine learning applications in cybersecurity. His research aims to develop robust security solutions to tackle evolving cyber threats and ensure secure data transmission in industrial and healthcare domains.

Awards

R. Mahesh Muthulakshmi has been recognized for his contributions to academia and research. He received the Excellence Award in 2024 from Educators Empowering India. Additionally, he was honored with the Best Poster Award at the 2024 Star Submit SIMATS School of Engineering. His commitment to research and teaching continues to earn him accolades in his field.

Publications

Mahesh Muthulakshmi R and Anithaashri T. P – “An Optimized Dual Generative Hyperbolic Graph Adversarial Network with Multi Factor Random Permutation Pseudo Algorithm based Encryption for Secured Industrial Healthcare Data Transferring.” Transactions on Emerging Telecommunications Technologies (2024) (SCI).

Mahesh Muthulakshmi R and Anithaashri T. P – “Data Security in Cloud Computing Using Maritime Search and Rescue Algorithm.” ICSTSN 2024, Villupuram, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “A Robust Approach to Cloud Data Security using an Amalgamation of AES and Code-Based Cryptography.” ICSTEM 2024, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Novel Weight-Improved Particle Swarm Optimization to Enhance Data Security in Cloud.” I-SMAC 2023, Kirtipur, Nepal (Scopus).

Mahesh Muthulakshmi R and Anithaashri T. P – “Enhancing the Detection of DDoS Attacks in Cloud using Linear Discriminant Algorithm.” ICCES 2023, Coimbatore, India (Scopus).

Mahesh Muthulakshmi R, T. P. Anithaashri, C. Nataraj, V. S. N. Talasila – “Enhancing Data Security in Cloud using Artificial Neural Network with Backward Propagation.” AIP Conf. Proc. 2024 (Scopus, WoS).

Muthulakshmi R. M., Kanimozhi R., Keerthana M., & Sneha V. – “The Security in Online Data Sharing on the Public Server using Secure Key-Aggregate Cryptosystems with Broadcast Aggregate Keys.” International Journal of Advance Research in Science and Engineering, 2018.

Conclusion

R. Mahesh Muthulakshmi is a seasoned academician and researcher dedicated to advancing knowledge in computer science, particularly in cybersecurity and artificial intelligence. His extensive teaching experience, combined with a strong research portfolio, has contributed to the academic community and industry innovations. With numerous research publications, awards, and a passion for technological advancements, he continues to inspire and educate future generations in the field of computer science and engineering.