Leyi Zhao | Computer Science | Beijing University of Chinese Medicine

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Dr. Leyi Zhao | Computer Science | Beijing University of Chinese Medicine

Doctor, Beijing University of Chinese Medicine, China

Dr. Leyi Zhao is a dedicated clinical doctoral researcher in Integrative Medicine at the prestigious Beijing University of Chinese Medicine. With a keen interest in digestive tract diseases, Dr. Zhao specializes in studying precancerous lesions, tumors, and the intricate relationship between the immune environment and disease progression. Passionate about blending traditional medicine with modern computational techniques, Dr. Zhao integrates computer language and data analysis to establish innovative prognostic models, enhancing clinical applications. With multiple completed and ongoing research projects, Dr. Zhao’s contributions to the field of immunotherapy and colorectal cancer prognosis are highly impactful.

Publication Profile

ORCID

🎓 Education

Dr. Zhao is currently pursuing a doctorate in Integrative Medicine at Beijing University of Chinese Medicine, a renowned institution for traditional and modern medical research. This academic journey has equipped Dr. Zhao with a strong foundation in both traditional Chinese medical practices and cutting-edge clinical research methodologies.

💼 Experience

With extensive research experience, Dr. Zhao has led and contributed to multiple research projects focusing on colorectal cancer, immune microenvironments, and predictive modeling in oncology. Through a blend of experimental studies and computational approaches, Dr. Zhao has contributed significantly to understanding the impact of tertiary lymphoid structures (TLS) on tumor prognosis and immune response. In addition to academic research, Dr. Zhao has been involved in consultancy and industry-based projects, furthering the practical application of scientific findings.

🏆 Awards and Honors

Dr. Zhao’s research excellence has been recognized through publications in high-impact journals indexed in SCI and Scopus. The innovative work in colorectal cancer prognosis and immunotherapy has garnered citations and recognition within the scientific community. As an active contributor to the field, Dr. Zhao has been nominated for the prestigious Best Researcher Award at the Cryogenicist Global Awards.

🔬 Research Focus

Dr. Zhao’s primary research focus lies in immunotherapy for tumors, particularly in colorectal cancer. The groundbreaking research involves developing a TLS-based prognostic model that explores immune cell interactions within tumors. This model holds potential for predicting patient prognosis and treatment responsiveness, offering valuable insights into personalized medicine. Furthermore, Dr. Zhao’s interdisciplinary approach integrates network pharmacology, computational modeling, and traditional Chinese medicine, enhancing the precision and effectiveness of cancer treatments.

🔗 Publications

The Impact of Tertiary Lymphoid Structures on Tumor Prognosis and the Immune Microenvironment in Colorectal Cancer. Biomedicines, 2025; 13(3):539
🔗 DOI: 10.3390/biomedicines13030539

 Limonin ameliorates indomethacin-induced intestinal damage and ulcers through Nrf2/ARE pathway. Immun Inflamm Dis, 2023; 11(2):e787
🔗 DOI: 10.1002/iid3.787

Chinese patent herbal medicine (Shufeng Jiedu capsule) for acute upper respiratory tract infections: A systematic review and meta-analysis. Integr Med Res, 2021; 10(3):100726
🔗 DOI: 10.1016/j.imr.2021.100726

Deciphering the Mechanism of Siwu Decoction Inhibiting Liver Metastasis by Integrating Network Pharmacology and In Vivo Experimental Validation. Integr Cancer Ther, 2024; 23:15347354241236205
🔗 DOI: 10.1177/15347354241236205

🔚 Conclusion

Dr. Leyi Zhao’s research contributions are shaping the future of colorectal cancer treatment and immune microenvironment analysis. With a strong foundation in integrative medicine and a passion for computational research, Dr. Zhao continues to push the boundaries of medical science, making a profound impact on oncology and personalized medicine. As a nominee for the Best Researcher Award, Dr. Zhao’s work exemplifies innovation, dedication, and a commitment to improving patient outcomes worldwide. 🌍

Paramita Basu Mukherjee | Health Sciences | Best Researcher Award

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Assoc. Prof. Dr. Paramita Basu Mukherjee | Health Sciences | Best Researcher Award

Associate Professor, New York College of Podiatric Medicine, United States

Dr. Paramita Basu is a distinguished scientist and educator specializing in infectious diseases, pharmaceutical sciences, and microbiology. Currently, she serves as an Associate Professor and Director of Infectious Diseases at the New York College of Podiatric Medicine and an Associate Professor of Pharmaceutical & Biomedical Sciences at Touro College of Pharmacy, New York. With a Ph.D. in Biological Sciences from St. John’s University, she has made significant contributions to research on biofilms, antibiotic resistance, and innovative learning methodologies. As a dedicated academic leader, she also chairs the Curriculum Committee at Touro College of Pharmacy, shaping the future of pharmaceutical education.

Publication Profile

🎓 Education

Dr. Basu earned her Ph.D. in Biological Sciences from St. John’s University, Queens, New York (2003-2008). Her research during this period focused on microbial resistance and biofilm control mechanisms, laying the foundation for her impactful work in microbiology and pharmaceutical sciences.

💼 Experience

With over a decade of experience in academia, Dr. Basu has held key positions in medical and pharmaceutical education. Since 2009, she has been an Associate Professor at Touro College of Pharmacy, where she teaches pharmaceutical and biomedical sciences. In 2022, she joined the New York College of Podiatric Medicine as the Director of Infectious Diseases, focusing on pre-clinical sciences and microbiology. Her expertise extends to curriculum development, interdisciplinary education, and research on antibiotic resistance in clinical settings.

🏆 Awards and Honors

Dr. Basu has received multiple recognitions for her outstanding research and academic contributions. She has been acknowledged for her pioneering work in antimicrobial resistance, biofilm studies, and the integration of audiovisual learning in medical education. Her research has been published in top-tier scientific journals, reflecting her impact on global microbiology and pharmaceutical sciences.

🔬 Research Focus

Dr. Basu’s research interests revolve around biofilm formation, antibiotic resistance mechanisms, and innovative drug therapies. Her work has significantly contributed to understanding Pseudomonas aeruginosa biofilms, Vibrio gazogenes interactions, and novel antibiotic treatments. Additionally, she explores the role of multimedia learning tools in medical education, aiming to improve student engagement and knowledge retention in pharmaceutical sciences.

🔎 Conclusion

Dr. Paramita Basu is a renowned microbiologist, educator, and researcher with a passion for antimicrobial resistance and innovative learning in pharmaceutical sciences. Her groundbreaking work in infectious disease research and medical education has solidified her position as a leader in the field. With a commitment to scientific advancement and student success, she continues to make a significant impact in pharmaceutical and biomedical sciences. 🚀

📚 Publications

Development and Control of Biofilms in Diabetic Foot Infections: A Narrative Review – Acta Microbiologica Hellenica (2025) [🔗DOI: 10.3390/amh70010009]

Integration of an Audiovisual Learning Resource in a Podiatric Medical Infectious Disease Course: Multiple Cohort Pilot Study – JMIR Medical Education (2025) [🔗DOI: 10.2196/55206]

Study of the impact of introducing a multimedia learning tool in podiatric medical courses – Journal of Foot and Ankle Research (2024) [🔗DOI: 10.1002/jfa2.12018]

Antibiotic-Induced Changes in Efflux Transporter Expression: A Key Factor in Pseudomonas aeruginosa Biofilm Resistance – Journal of Experimental Biology and Agricultural Sciences (2024) [🔗DOI: 10.18006/2024.12(2).274.283]

Vibrio gazogenes-dependent disruption of aflatoxin biosynthesis in Aspergillus flavus – Frontiers in Microbiology (2023) [🔗DOI: 10.3389/fmicb.2023.1208961]

The Effect of Antibiotic Treatment and Gene Expression of Mex B Efflux Transporters on the Resistance in Pseudomonas Aeruginosa Biofilms – Applied Microbiology (2023) [🔗DOI: 10.3390/applmicrobiol3030049]

Surveillance of SARS-CoV-2 RNA in open-water sewage canals – Access Microbiology (2022) [🔗DOI: 10.1099/acmi.0.000318]

Antimicrobial Resistance in Pseudomonas aeruginosa Biofilms – Journal of Pure and Applied Microbiology (2021) [🔗DOI: 10.22207/JPAM.15.4.79]

Masabah Bint E Islam | Blockchain | Best Researcher Award

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Ms. Masabah Bint E Islam | Blockchain | Best Researcher Award

Graduate, SEECS NUST, Pakistan

MBE Islam is a dedicated researcher and academic specializing in artificial intelligence, machine learning, and healthcare informatics. With a strong background in computational sciences, he has contributed significantly to interdisciplinary research, particularly in medical data analytics and blockchain-based security frameworks. His research integrates AI-driven models with real-world applications, such as disease classification, water quality monitoring, and deepfake detection. His scholarly contributions in top-tier journals and conferences underscore his expertise in the field.

Publication Profile

Education 🎓

MBE Islam has pursued a rigorous academic journey in the domain of artificial intelligence and computational sciences. He holds advanced degrees in computer science and machine learning, equipping him with the skills necessary to address complex data-driven challenges. His research focuses on integrating AI and data mining techniques in healthcare analytics and cybersecurity.

Experience 🏢

With a wealth of experience in both academia and industry, MBE Islam has worked on various AI-based projects, including disease prediction models, blockchain security, and automated classification systems. His collaborations with renowned institutions and research groups have resulted in groundbreaking studies published in high-impact journals and international conferences. He has also been actively involved in teaching, mentoring, and supervising students in AI, machine learning, and data analytics.

Awards and Honors 🏆

Throughout his career, MBE Islam has been recognized for his outstanding contributions to AI and healthcare analytics. His research publications have received citations from esteemed scholars worldwide. His work on blockchain-based authenticity verification and AI-driven disease classification has been acknowledged for its innovation and impact.

Research Focus 🔬

MBE Islam’s research spans multiple domains, including AI in healthcare, blockchain security, and computational biology. His work on supervised machine learning for comorbidity analysis, association rule mining for IBS patients, and deepfake authenticity verification using blockchain highlights his interdisciplinary approach. He has also explored AI-based water quality assessment and lung disease classification, showcasing his ability to apply computational techniques to real-world challenges.

Conclusion 🌟

MBE Islam is a trailblazing researcher whose work bridges AI, healthcare, and security. His contributions to disease classification, blockchain security, and medical AI applications have made a significant impact on academia and industry. His research continues to shape the future of AI-driven healthcare solutions and secure digital systems. 🚀

Publication📚

Identifying comorbidity patterns of irritable bowel syndrome (IBS) patients using association rule mining (2023) – Neurogastroenterology and Motility

AI threats to politics, elections, and democracy: A blockchain-based deepfake authenticity verification framework (2024) – Blockchains Journal

From Measured pH to Hidden BOD: Quasi Real-Time Estimation of Key Indirect Water Quality Parameters Through Direct Sensor Measurements (2024) – ICICT Proceedings

Classification of Lung Diseases Through Artificial Intelligence Models: A Multi-Dataset Evaluation (2024) – IEEE International Conference on Signal Processing

Supervised machine learning analysis of comorbidities in irritable bowel syndrome: A UK BioBank Study (2023) – Neurogastroenterology and Motility

Ulas Bagci | Artificial Intelligence | Outstanding Scientist Award

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Assoc. Prof. Dr. Ulas Bagci | Artificial Intelligence | Outstanding Scientist Award

Assoc. Prof., Northwestern University, United States

Dr. Ulas Bagci is a distinguished researcher and tenured Associate Professor at Northwestern University, specializing in Radiology, Electrical and Computer Engineering, and Biomedical Engineering. He is also a courtesy professor at the University of Central Florida’s Center for Research in Computer Vision. As the Director of the Machine and Hybrid Intelligence Lab, Dr. Bagci focuses on the integration of artificial intelligence, deep learning, and medical imaging. His extensive research contributions include over 330 peer-reviewed articles in these domains. Previously, he was a staff scientist and lab co-manager at the National Institutes of Health (NIH), where he played a pivotal role in advancing AI-driven medical imaging applications. Dr. Bagci actively contributes to leading scientific journals, serving as an associate editor for IEEE Transactions on Medical Imaging, Medical Physics, and Medical Image Analysis.

Publication Profile

🎓 Education

Dr. Ulas Bagci holds a Ph.D. in Computer Science from the University of Nottingham (2010), where he conducted pioneering research in medical imaging. He was a Visiting Research Fellow in Radiology at the University of Pennsylvania (2008-2009), further refining his expertise in AI applications for biomedical sciences. He earned his M.Sc. in Electrical and Computer Engineering from Koç University (2005) and his B.Sc. in Electrical and Computer Engineering from Bilkent University (2003).

💼 Experience

Dr. Bagci has built an impressive academic and research career across top institutions. Since 2021, he has been an Associate Professor at Northwestern University, where he leads research in AI-driven medical imaging. Before that, he served as an Assistant Professor in Computer Science at the University of Central Florida (2014-2020), fostering innovation in deep learning for radiology. From 2010 to 2014, he was a Staff Scientist and Lab Manager at the National Institutes of Health (NIH), playing a key role in infectious disease imaging and AI applications in radiology.

🏅 Awards and Honors

Dr. Bagci has received numerous recognitions for his outstanding contributions to artificial intelligence and medical imaging. He has secured multiple NIH grants (R01, U01, R15, R21, R03) as a Principal Investigator and is a steering committee member for the NIH Artificial Intelligence Resource (AIR). Additionally, he has been honored with best paper and reviewer awards in top-tier AI and medical imaging conferences such as MICCAI and IEEE Medical Imaging.

🔬 Research Focus

Dr. Bagci’s research revolves around artificial intelligence, deep learning, radiology, and computer vision. His work has significantly impacted medical imaging applications, including MRI, CT scans, nuclear medicine imaging, and disease diagnosis. He has contributed extensively to federated learning, probabilistic modeling, and AI-powered decision-making in healthcare. His recent studies include advancements in brain tumor segmentation, bias field correction in MRI, and AI-driven road network prediction.

🔚 Conclusion

Dr. Ulas Bagci is a leading expert in AI-powered medical imaging, consistently pushing the boundaries of deep learning, radiology, and computer vision. His impactful contributions in academia and research have earned him global recognition. With a strong presence in prestigious institutions, his pioneering work continues to shape the future of AI in healthcare. 🚀

📚 Publications

Evidential Federated Learning for Skin Lesion Image Classification (2025) – Published in a book chapter DOI: 10.1007/978-3-031-78110-0_23 📖

Paradoxical Response to Neoadjuvant Therapy in Undifferentiated Pleomorphic Sarcoma (2025) – Published in Cancers DOI: 10.3390/cancers17050830 🏥

Foundational Artificial Intelligence Models and Modern Medical Practice (2025) – Published in BJR | Artificial Intelligence DOI: 10.1093/bjrai/ubae018 🧠

A Probabilistic Hadamard U-Net for MRI Bias Field Correction (2024) – Published in arXiv arXiv:2403.05024 🖥️

AI-Powered Road Network Prediction with Fused Low-Resolution Satellite Imagery and GPS Trajectory (2024) – Published in Earth Science Informatics 🌍

Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation (2024) – Presented at the IEEE/CVF Winter Conference on Applications of Computer Vision 🤖

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation  (2024) – Published in arXiv arXiv:2405.18383 🏥

 

Gege Bao | Forestry Engineering | Best Researcher Award

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Dr. Gege Bao | Forestry Engineering | Best Researcher Award

Doctor, International Centre for Bamboo and Rattan, China

Dr. Gege Bao is a distinguished researcher specializing in Forestry Engineering with a keen focus on sustainable materials. As a dedicated scientist at the International Centre for Bamboo and Rattan, she pioneers eco-friendly innovations in bamboo and wood protection. Her expertise in nanomaterials and surface engineering has led to groundbreaking advancements in enhancing material durability and environmental adaptability. Passionate about promoting green development, Dr. Bao’s research contributes significantly to sustainable architecture and ecological civilization. 🌱🔬

Publication Profile

Scopus

🎓 Education:

Dr. Bao holds a Ph.D. in Forestry Engineering, where she honed her expertise in sustainable materials and surface protection technologies. Her academic journey has been deeply rooted in exploring advanced nanomaterials, high-durability coatings, and eco-friendly solutions for bamboo and wood applications. 📚🎓

💼 Experience:

With a strong background in research, Dr. Bao has led numerous projects on functional protective coatings for bamboo surfaces. Her work focuses on surface modification, interface regulation, and high-performance materials engineering. Through her innovative research, she has developed novel coatings that enhance bamboo’s durability, fire resistance, and mold protection. She actively collaborates on projects aimed at revolutionizing eco-friendly material protection technologies. 🏗️🔍

🏆 Awards and Honors:

Dr. Bao’s contributions to sustainable materials and forestry engineering have been widely recognized. Her innovative work in bamboo surface protection has positioned her as a leading researcher in the field. She has been nominated for prestigious awards such as the Best Researcher Award, Women Research Award, and Excellence in Innovation, acknowledging her impact on green technology and sustainable development. 🏅🌍

🔬 Research Focus:

Dr. Bao’s research revolves around functional protective technologies for bamboo surfaces, surface modification, and environmentally friendly material protection. Her work on high-durability coatings and interface regulation mechanisms has opened new avenues for sustainable architecture and ecological resource management. By integrating nanomaterials and bio-based solutions, she strives to enhance the performance and longevity of bamboo and wood materials. 🌿🧪

🔚 Conclusion:

Dr. Gege Bao is a visionary researcher dedicated to transforming sustainable materials through innovative engineering solutions. Her expertise in bamboo surface protection and eco-friendly material science continues to make a profound impact on environmental sustainability. As a thought leader in her field, she remains committed to advancing green technology, paving the way for a more sustainable future. 🌎🔬

🔗 Publications:

Preparation of 3-Iodo-2-Propargyl-Butyl-Carbamate-Loaded Microcapsules for Long-Term Mold Resistance in Bamboo – Polymers (2024) 🔗 Read here

A Green and Eco-Friendly Method to Enhance Bamboo Flame Resistance via Calcium Alginate Assisted In-Situ Mineralization of Hydroxyapatite – Chemical Engineering Journal (2024) 🔗 Read here

An Inorganic Hydrophobic Layer Connected by Rivets Endows the Bamboo with High Fire Retardant, Mechanical, and Mold-Proof Properties – Industrial Crops and Products (2023) 🔗 Read here

Eco-Friendly In-Situ Mineralization of Bamboo for Flame Retardancy – Industrial Crops and Products (2023) 🔗 Read here

Xingyan Chen | Computer Networks | Best Researcher Award

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Assoc. Prof. Dr. Xingyan Chen | Computer Networks | Best Researcher Award

Associate Professor, Southwestern University of Finance and Economics, China

Dr. Chen Xingyan is an esteemed Associate Professor at the School of Computer and Artificial Intelligence, Southwestern University of Finance and Economics. He holds a Ph.D. in Engineering from Beijing University of Posts and Telecommunications 🎓. His research spans generative AI applications, large language models, distributed computing networks, multimedia communication, and reinforcement learning 🤖. With over 30 publications in top-tier journals and conferences, including IEEE INFOCOM, IEEE TMC, IEEE TMM, and IEEE TCSVT, Dr. Chen has made significant contributions to advancing AI-driven networked systems. He has led multiple national and provincial research projects, making him a distinguished figure in AI and computing research.

Publication Profile

🎓 Education

Dr. Chen Xingyan earned his Ph.D. in Engineering from Beijing University of Posts and Telecommunications, where he specialized in AI-driven multimedia communication and networked computing. His academic journey has been marked by excellence in research, leading to impactful contributions in distributed AI and reinforcement learning applications 📡.

💼 Experience

Dr. Chen is currently an Associate Professor at Southwestern University of Finance and Economics, where he actively engages in cutting-edge research and mentorship. He has been a principal investigator for several prestigious projects, including the NSFC Youth Fund and Sichuan Provincial Natural Science Fund. His consultancy work with leading tech firms like Huawei and China Electronics Technology Group further highlights his industry influence. Additionally, Dr. Chen has played a pivotal role in research projects related to 5G streaming, blockchain-based cloud computing, and immersive video transmission 🎥.

🏆 Awards and Honors

Dr. Chen has been recognized for his groundbreaking research with several prestigious grants and awards. He has received funding from the National Natural Science Foundation of China and the Sichuan Provincial Science and Technology Department. His expertise in AI and multimedia systems has earned him notable accolades in academia and industry 🏅.

🔬 Research Focus

Dr. Chen’s research is centered on generative AI, multimedia communication, federated learning, and reinforcement learning. His work on immersive video transmission, cloud-edge computing, and blockchain-enhanced computing frameworks has been widely cited and influential. He continues to innovate in the field, developing AI-driven methodologies for large-scale distributed networks and next-generation communication systems 🌐.

🔚 Conclusion

Dr. Chen Xingyan stands at the forefront of AI-driven computing and multimedia systems, making substantial contributions through innovative research and industry collaborations. His work in AI, distributed computing, and multimedia communication has not only advanced theoretical knowledge but also influenced practical applications in 5G, blockchain, and federated learning. With a strong research portfolio, prestigious awards, and impactful industry partnerships, Dr. Chen continues to shape the future of AI-powered networked systems 🚀.

🔗 Publications

Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling. IEEE Transactions on Computers. [Cited by 15] 🔗

A Novel Adaptive 360° Livestreaming with Graph Representation Learning-based FoV Prediction. IEEE Transactions on Emerging Topics in Computing. [Cited by 12] 🔗

A Federated Transmission Framework for Panoramic Livecast with Reinforced Variational Inference. IEEE Transactions on Multimedia. [Cited by 20] 🔗

A Multi-user Cost-efficient Crowd-assisted VR Content Delivery Solution in 5G-and-beyond Heterogeneous Networks. IEEE Transactions on Mobile Computing. [Cited by 18] 🔗

A Universal Transcoding and Transmission Method for Livecast with Networked Multi-Agent Reinforcement Learning. IEEE INFOCOM. [Cited by 25] 🔗

Augmented Queue-Based Transmission and Transcoding Optimization for Livecast Services Based on Cloud-Edge-Crowd Integration. IEEE Transactions on Circuits and Systems for Video Technology. [Cited by 22] 🔗

Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks. IEEE Transactions on Knowledge and Data Engineering. [Cited by 30] 🔗

BC-Mobile Device Cloud: A Blockchain-Based Decentralized Truthful Framework for Mobile Device Cloud. IEEE Transactions on Industrial Informatics. [Cited by 17] 🔗

Differential Privacy Oriented Distributed Online Learning for Mobile Social Video Prefetching. IEEE Internet of Things Journal. [Cited by 19] 🔗

Optimal Information Centric Caching in 5G Device-to-Device Communications. IEEE Transactions on Circuits and Systems for Video Technology. [Cited by 23] 🔗

BC-MetaCast: A Blockchain-enhanced Intelligent Computing Framework for Metaverse Livecast. IEEE Network. [Cited by 14] 🔗

Rab Nawaz Bashir | Machine Learning | Best Researcher Award

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Dr. Rab Nawaz Bashir | Machine Learning | Best Researcher Award

Assistant Professor, COMSATS University, Pakistan

Dr. Rab Nawaz Bashir 🎓 is a distinguished computer scientist and Assistant Professor at COMSATS University Islamabad, Vehari Campus. He holds a Ph.D. in Computer Science from Islamia University Bahawalpur and has been instrumental in shaping research and education in artificial intelligence, machine learning, and the Internet of Things (IoT). With a passion for academic excellence, he has mentored numerous undergraduate, graduate, and Ph.D. students, guiding them toward impactful research and industry readiness. His dedication to scholarly contributions and innovative teaching has made him a respected figure in the field of computer science.

Publication Profile

Education 🎓

Dr. Bashir has a strong academic foundation, earning his Ph.D. in Computer Science (2021) from Islamia University Bahawalpur. Prior to that, he completed an MS in Computer Science (2015) from the same institution. His educational journey began with a Master in Computer Science (MCS) from Pir Mehr Ali Shah University of Arid Agriculture (2008). To further enhance his expertise, he is currently pursuing a Fellowship in Computer Science at Prince Sultan University, Saudi Arabia.

Experience 👨‍🏫

With over 15 years of experience, Dr. Bashir has significantly contributed to academia and research. Since 2022, he has served as an Assistant Professor at COMSATS University Islamabad, Vehari Campus, where he leads curriculum development, organizes seminars, and supervises undergraduate and Ph.D. research. Previously, he was a Lecturer at COMSATS University (2015–2022), University of Agriculture Faisalabad (2014–2015), and Institute of Southern Punjab, Multan (2010–2014). Before transitioning fully into academia, he worked in software development at the University of Agriculture Faisalabad (2008–2010), specializing in secure and scalable web applications using ASP.NET and SQL Server.

Awards and Honors 🏆

Dr. Bashir has been recognized multiple times for his outstanding contributions to research and academic excellence. He has received several Research Awards (2021, 2022, 2023, 2024) and Annual Performance Awards (2022, 2023, 2024) from his institution. Additionally, his leadership in securing National Standard for Education Accreditation Council (NSEAC) accreditation for the university in 2021 and 2024 highlights his commitment to academic quality and institutional development.

Research Focus 🔬

Dr. Bashir’s research spans various cutting-edge domains, including machine learning, IoT, and computer programming. His work emphasizes real-world applications, such as IoT-enabled smart agriculture, machine learning-based fraud detection, and deep learning for natural image processing. His interdisciplinary collaborations have resulted in high-impact research, contributing to advancements in federated learning, fog computing, and agricultural technology.

Conclusion 🌟

Dr. Rab Nawaz Bashir is a leading academic and researcher in computer science, with a strong focus on machine learning, IoT, and programming. His dedication to mentoring students, publishing impactful research, and advancing academic excellence has earned him numerous awards and recognitions. With a vision for future innovations, he continues to push the boundaries of computer science, contributing to both academia and industry through groundbreaking research and leadership.

Publications 📚

A Novel 1-Dimensional Cosine Chaotic Equation and Digital Image Encryption Technique (IEEE Access, 2024) – DOI: 10.1109/ACCESS.2024.3447889

Federated Learning (FL) Model of Wind Power Prediction (IEEE Access, 2024) – DOI: 10.1109/ACCESS.2024.3415781

IoT-Enabled Firmness Grades of Tomato in Cold Supply Chain Using Fusion of Whale Optimization Algorithm and Extreme Learning Machine (IEEE Access, 2024) – DOI: 10.1109/ACCESS.2024.3379327

Mushroom Species Classification in Natural Habitats Using Convolutional Neural Networks (CNN) (IEEE Access, 2024) – DOI: 10.1109/ACCESS.2024.3502543

Machine Learning and Fog Computing-Enabled Sensor Drift Management in Precision Agriculture (IEEE Sensors Journal, 2024) – DOI: 10.1109/JSEN.2024.3451662

Principal Component Analysis (PCA) and Feature Importance-Based Dimension Reduction for Reference Evapotranspiration (ET0) Predictions of Taif, Saudi Arabia (Computers and Electronics in Agriculture, 2024) – DOI: 10.1016/j.compag.2024.109036

Ensemble Deep Learning-Based Prediction of Fraudulent Cryptocurrency Transactions (IEEE Access, 2023) – DOI: 10.1109/ACCESS.2023.3310576

Internet of Things Based Weekly Crop Pest Prediction by Using Deep Neural Network  (IEEE Access, 2023) – DOI: 10.1109/ACCESS.2023.3301504

Stacked Ensemble Model for Tropical Cyclone Path Prediction (IEEE Access, 2023) – DOI: 10.1109/ACCESS.2023.3292907

Smart Reference Evapotranspiration Using Internet of Things and Hybrid Ensemble Machine Learning Approach (Internet of Things, 2023) – DOI: 10.1016/j.iot.2023.100962

Ivan Nastasijevic | Biotechnology | Excellence in Research

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Dr. Ivan Nastasijevic | Biotechnology | Excellence in Research

Principal Research Scientist, Institute of Meat Hygiene and Technology, Serbia

Dr. Ivan Nastasijevic is a distinguished expert in food safety, meat hygiene, and microbiology, with extensive experience spanning research, academia, and policy development. Currently serving as a Principal Research Fellow in Food Systems at the Institute of Meat Hygiene and Technology in Belgrade, Serbia, he has made significant contributions to the advancement of food safety protocols. His expertise is widely recognized, having worked with the World Health Organization (WHO), the University of Central Lancashire, and Serbia’s Federal Ministry of Agriculture. Dr. Nastasijevic’s career reflects a commitment to enhancing food safety, public health, and antimicrobial resistance mitigation, making him a key figure in global food systems research. 🌍🍖

Publication Profile

🎓 Education

Dr. Nastasijevic holds a Doctor of Veterinary Medicine (DVM) from the Faculty of Veterinary Medicine, University of Belgrade. Furthering his expertise, he completed a Master of Biochemical Sciences (MPH) at the University of Belgrade and earned a Ph.D. in Veterinary Sciences from the University of Novi Sad in collaboration with the U.S. Meat Animal Research Center (USMARC). His extensive qualifications include certifications in HACCP principles, veterinary licensing, food safety management, and quality assurance auditing, obtained from institutions such as the Royal Institute of Public Health (UK), USDA/WHO, and EU Academy. His global academic exposure underscores his interdisciplinary expertise in veterinary science and food microbiology. 📚🦠

💼 Experience

With over 25 years of experience, Dr. Nastasijevic has held key positions in research, policy advisory, and education. He previously served as Associate Director and Head of the Development and Technology Transfer Department at the Institute of Meat Hygiene and Technology. His international engagement includes working as a Technical Officer for Food Safety at WHO (Copenhagen, Denmark) and a Lecturer in Food Safety Management at the University of Central Lancashire (UK). His work with Serbia’s Ministry of Agriculture and Veterinary Services contributed significantly to the development of food safety regulations and risk assessment strategies. His diverse professional journey has positioned him as a leading voice in global food safety initiatives. 🌍🔬

🏆 Awards and Honors

Dr. Nastasijevic has been recognized for his contributions to food safety research, antimicrobial resistance tracking, and meat hygiene advancements. His research has influenced international food safety policies, and his efforts in One Health approaches to mitigate risks in food production have earned him numerous accolades. His engagement in scientific cooperation and technological innovation has led to various fellowships, including the prestigious Norman-Borlaug Fellowship (USA). 🏅🔍

🔍 Research Focus

His research primarily revolves around meat safety, biosensor technology, foodborne pathogen control, and antimicrobial resistance mitigation. Dr. Nastasijevic has played a pivotal role in developing risk assessment models and technological advancements in the meat industry. His work on computer vision systems for meat safety assurance, risk categorization of abattoirs, and modified atmosphere packaging for shelf-life enhancement has set new standards in food safety management. His One Health approach integrates microbiology, food technology, and public health policies to create sustainable food systems. 🧬🥩

🔚 Conclusion

Dr. Ivan Nastasijevic is a leading authority in food safety, meat microbiology, and antimicrobial resistance, with an extensive career dedicated to scientific research, policy-making, and technological innovation. His contributions have influenced global food safety policies, industry best practices, and One Health initiatives. With a strong publication record, international collaborations, and leadership in research, Dr. Nastasijevic continues to play a crucial role in ensuring food security and public health on a global scale. 🌍🔬

📚 Publications

Recent Advances in Biosensor Technologies for Meat Production Chain – Foods (2025) DOI: 10.3390/foods14050744

Antimicrobial Resistance in Aquaculture: Risk Mitigation within the One Health Context – Foods (2024) DOI: 10.3390/foods13152448

Technologies to Address Risk Assessment, Food Safety and Public Health in Food Production Chain – Frontiers in Microbiology (2024)

Biosensors in the Meat Chain: Farm-to-Fork Continuum – Conference Paper (2024) DOI: 10.46793/8FDSQ.ILA1IN

Tracking Antimicrobial Resistance Along the Meat Chain: One Health Context – Food Reviews International (2023) DOI: 10.1080/87559129.2023.2279590

Risk Categorisation of Abattoirs in Europe: Current State of Play – Food Control (2023) DOI: 10.1016/j.foodcont.2023.109863

Applications of Computer Vision Systems for Meat Safety Assurance in Abattoirs: A Systematic Review – Food Control (2023) DOI: 10.1016/j.foodcont.2023.109768

Radwan Al-omary | Rings theory | Excellence in Research

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Prof. Dr. Radwan Al-omary | Rings theory | Excellence in Research

Professor, Ibb university, Yemen

Dr. Radwan Mohammed Al-Omary is a distinguished mathematician and researcher specializing in algebra and prime rings. Currently affiliated with Ibb University, Yemen, he has made significant contributions to mathematical research, particularly in generalized derivations, prime rings, and algebraic identities. With an H-index of 4 in recent years and 37 overall, his work has been recognized through numerous citations. His expertise extends beyond research, as he is also an active reviewer for multiple prestigious mathematical journals.

Publication Profile

🎓 Education

Dr. Al-Omary holds a Ph.D. in Mathematics, focusing on algebra and its applications. His academic journey has been centered around exploring mathematical structures, particularly prime rings, derivations, and commutativity conditions, which have shaped his research contributions.

💼 Experience

As a faculty member at Ibb University, Dr. Al-Omary has been involved in both teaching and research. He has published extensively in reputed journals such as Axioms, Mathematics, and Communications of the Korean Mathematical Society. His work includes exploring algebraic identities via generalized derivations, prime rings, and involution theory. Additionally, he has reviewed over 30 research papers for renowned international journals, contributing significantly to the mathematical community.

🏆 Awards and Honors

Dr. Al-Omary’s contributions to mathematics have been acknowledged through his extensive citation record and participation in international research collaborations. His scholarly impact is reflected in his H-index and the citations his work has received across multiple domains of algebra and applied mathematics.

🔬 Research Focus

His research primarily focuses on algebraic identities, prime rings, generalized derivations, and commutativity conditions. His publications delve into the structural properties of algebraic systems, using derivations to analyze the fundamental behavior of mathematical rings. His studies have contributed valuable insights into mathematical logic, computational algebra, and theoretical mathematics.

🔚 Conclusion

Dr. Radwan Mohammed Al-Omary is a highly regarded mathematician known for his contributions to algebra and prime rings. His dedication to research, teaching, and peer-reviewing underscores his influence in the mathematical community. Through his extensive work in derivations and algebraic structures, he continues to shape mathematical research and inspire future generations of mathematicians.

📚 Publications 

Factor Rings with Algebraic Identities via Generalized Derivations (2025) – Axioms
🔗 DOI: 10.3390/AXIOMS14010015
📌 Cited by: 0

Exploring Commutativity via Generalized (α, β)-Derivations Involving Prime Ideals (2024) – Mathematics
🔗 DOI: 10.3390/MATH12152325
📌 Cited by: 1

GENERALIZED DERIVATIONS ON PRIME RINGS SATISFYING CERTAIN IDENTITIES (2021) – Communications of the Korean Mathematical Society
🔗 DOI: 10.4134/CKMS.C200227
📌 Cited by: 3

Commutativity of Prime Rings with Generalized (α,β)-Reverse Derivations Satisfying Certain Identities (2022) – Bulletin of the Transilvania University of Brașov Series III Mathematics and Computer Science
🔗 DOI: 10.31926/BUT.MIF.2022.2.64.2.1
📌 Not Indexed in Web of Science

On Prime Rings with Involution and Generalized Derivations (2022) – Discussiones Mathematicae – General Algebra and Applications
🔗 DOI: 10.7151/DMGAA.1404
📌 Not Indexed in Web of Science

Zakia Al-Amery | Pure algebra | Best Researcher Award

Posted on by sciencefather

Ms. Zakia Al-Amery | Pure algebra | Best Researcher Award

Lecture, Aden University, Yemen

Zakia Zaid Ali Amer is a dedicated mathematician and educator with a strong passion for research and teaching. She is currently pursuing her Ph.D. in Mathematics while serving as a Lecturer at the Faculty of Education, University of Aden. With a decade of experience in teaching and academic research, she has significantly contributed to mathematical education and development. Her work focuses on algebraic structures, prime ideals, and generalized derivations, with publications in reputable journals.

Publication Profile

Google Scholar

📚 Education:

Zakia holds a Master’s degree in Mathematics from the Faculty of Education, University of Aden, and a Bachelor’s degree in Mathematics from the Faculty of Education, Abyan, University of Aden. She is currently advancing her expertise through her Ph.D. studies, further deepening her understanding of mathematical theories and their applications.

👩‍🏫 Experience:

She has been a Lecturer at the Faculty of Education, University of Aden, since 2023 and has been actively engaged in research at the Center for Educational Research and Development, Aden, since 2017. Before transitioning into academia, she worked as a mathematics teacher under the Ministry of Education in Abyan from 2010 to 2017, honing her instructional skills and contributing to foundational education.

🏆 Awards and Honors:

Zakia has earned recognition for her contributions to mathematics and education. Her publications in indexed journals and participation in mathematical research projects have strengthened her reputation in the field.

🔬 Research Focus:

Her research primarily revolves around algebra, prime ideals, and generalized derivations. She explores mathematical structures and their properties, aiming to advance theoretical mathematics and its educational applications. Her recent work delves into commutativity conditions involving prime ideals and algebraic identities in factor rings.

🔎 Conclusion:

As a mathematician, educator, and researcher, Zakia Zaid Ali Amer continues to bridge the gap between theoretical mathematics and education. Her dedication to academia, research, and teaching underscores her commitment to fostering mathematical knowledge and inspiring future scholars.

📖 Publications:

Exploring Commutativity via Generalized (α, β)-Derivations Involving Prime Ideals (2024) – Mathematics 12 (15), 2325
🔗 Link to Paper – Cited by: 1

Factor Rings with Algebraic Identities via Generalized Derivations
🔗 [Link to Paper] (Add link when available) – Cited by: Unknown