Mahfooz Alam | Cloud Computing | Best Researcher Award

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Assist. Prof. Dr. Mahfooz Alam | Cloud Computing | Best Researcher Award

Assistant professor, G. L. Bajaj College of Technology and Management, Greater Noida, India

Dr. Mahfooz Alam is an esteemed academician and researcher in the field of Computer Science, specializing in Cloud Computing, Internet of Things (IoT), Workflow Scheduling, and Machine Learning 🤖. He is currently serving as an Assistant Professor in the Department of MCA at G. L. Bajaj College of Technology and Management, Greater Noida, India 🇮🇳. With a strong academic background and years of teaching experience, Dr. Alam is dedicated to advancing knowledge in secured workflow allocation and innovative computing methodologies. His research contributions are well-recognized, with publications in reputed journals, including IEEE, Springer, Elsevier, and Wiley 📚.

Publication Profile

Google Scholar

🎓 Education

Dr. Mahfooz Alam holds a Ph.D. in Computer Science from Aligarh Muslim University (AMU), Aligarh, India 🎓. He pursued his M.Tech. in Computer Science and Engineering from Dr. A. P. J. Abdul Kalam Technical University, Lucknow. Additionally, he completed his B.C.A. and M.C.A. from Indira Gandhi National Open University (IGNOU), New Delhi. His academic journey reflects his commitment to excellence in research and innovation in computing technologies 🖥️.

💼 Experience

Dr. Alam has a wealth of teaching and research experience, having served as an Assistant Professor at Al-Barkaat College of Graduate Studies (ABCGS), Aligarh, for six years 🏫. Currently, he holds the position of Assistant Professor at G. L. Bajaj College of Technology and Management, Greater Noida. His dedication to mentoring students and contributing to research has made him a respected figure in academia. His expertise extends to cutting-edge domains such as heuristic and meta-heuristic approaches in secured workflow allocation 🔬.

🏆 Awards and Honors

Dr. Mahfooz Alam has been recognized for his significant contributions to computer science research. His work has been published in high-impact international journals and conferences, gaining citations and recognition from fellow researchers worldwide 🌍. His contributions to machine learning applications and cloud computing security have positioned him as a thought leader in the field.

🔬 Research Focus

Dr. Alam’s research primarily focuses on Cloud Computing, IoT, Workflow Scheduling, and Load Balancing ☁️. He explores innovative approaches to software defect prediction, cybersecurity in IoT, and machine learning-driven optimization techniques. His research integrates heuristic, meta-heuristic, and reinforcement learning methods to address challenges in secure computing environments 🔍.

🔚 Conclusion

Dr. Mahfooz Alam is a dedicated academician and researcher contributing extensively to cloud computing, machine learning, and IoT security. His publications, teaching, and research endeavors continue to impact the field, shaping innovative solutions for complex computational challenges 🚀. With a strong passion for advancing knowledge and technology, Dr. Alam remains a prominent figure in the global research community 🌏.

📜 Publications

Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction (IEEE Access, 2025) 📖 DOI: 10.1109/ACCESS.2024.3517419

Software Defects Prediction Using Generative Adversarial Network Based Data Balancing (Book Chapter, 2025) 📖 DOI: 10.1007/978-3-031-83790-6_22

Reinforcing Defect Prediction: A Reinforcement Learning Approach  (Iran Journal of Computer Science, 2025) 📖 DOI: 10.1007/s42044-024-00214-8

Ensemble Deep Learning Techniques for Time Series Analysis (Cluster Computing, 2025) 📖 DOI: 10.1007/s10586-024-04684-0

A Levelized Multiple Workflow Heterogeneous Earliest Finish Time Allocation Model  (Algorithms, 2025) 📖 DOI: 10.3390/a18020099

Cybersecurity Challenges for Social, Ad-hoc, and Sensor Networks in IoT  (Wireless Ad-hoc and Sensor Networks, 2024) 📖 DOI: 10.1201/9781003528982-12

Performance Evaluation on Detection of Phishing Websites Using Machine Learning Techniques (ICEECT, 2024) 📖 DOI: 10.1109/iceect61758.2024.10739275

Empowering IoT Security (Book Chapter, 2024) 📖 DOI: 10.1201/9781003460367-11

A Trustworthy Hybrid Model for Transparent Software Defect Prediction: SPAM-XAI (PLOS ONE, 2024) 📖 DOI: 10.1371/journal.pone.0307112

Security Challenges for Workflow Allocation Model in Cloud Computing Environment: A Comprehensive Survey, Framework,
Taxonomy, Open Issues, and Future Directions  (Journal of Supercomputing, 2024) 📖 DOI: 10.1007/s11227-023-05873-1

Habib Mohammed Hussien | Communication Engineering | Best Researcher Award

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Assist. Prof. Dr. Habib Mohammed Hussien | Communication Engineering | Best Researcher Award

Addis Ababa Science and Technology University, Ethiopia

Dr. Habib Mohammed Hussien (PhD) is an esteemed Assistant Professor at Addis Ababa Science and Technology University, Ethiopia. With a deep passion for Artificial Intelligence, data science, blockchain, and wireless communication, he has significantly contributed to communication engineering, IT security, and industry electrical system design. His research focuses on high-altitude platforms, computer networks, and electrical systems, making him a key figure in technology transfer and industry advisory. Dr. Habib has authored over 32 high-quality publications in reputed SCI, Scopus, and Web of Science-indexed journals and conferences, shaping advancements in his field.

Publication Profile

Google Scholar

🎓 Education:

Dr. Habib Mohammed earned his PhD in Electrical Engineering (Communication Engineering) from Addis Ababa University, AAiT (2016–2022), receiving an “Excellent” grade for his dissertation on “Resource Allocation and Beam-pointing Optimization of High-Altitude Platform (UAV) Wireless Networks”. He completed his MSc in Electrical and Electronics Engineering (Signal and Information Processing) at Tianjin University, China (2008–2011), where he specialized in moving object detection and tracking systems using computer vision. His academic journey began at Adama Science and Technology University, where he earned a BSc in Electrical and Electronics Engineering/Technology with distinction.

💼 Experience:

Dr. Habib currently serves as an Assistant Professor at Addis Ababa Science and Technology University since February 2023. His professional expertise extends to communication system design, electrical and electromechanical system supervision, industry electrical plant design, and IT security. He actively engages in community service and industry advisory, fostering technological innovations.

🏆 Awards and Honors:

Dr. Habib’s outstanding academic and research contributions have been recognized with numerous accolades. He has received prestigious international and institutional awards for his excellence in wireless communication, AI applications, and high-altitude platform research. His PhD dissertation was graded “Excellent”, highlighting his groundbreaking work in UAV-based communication networks.

🔬 Research Focus:

Dr. Habib’s research interests include Artificial Intelligence, data science, and blockchain, with a strong emphasis on applying AI to wireless communication and high-altitude platforms. His work also spans communication engineering, IT security, electrical systems, and industry technology transfer. He explores performance optimization, resource allocation, and spectrum utilization in high-altitude platform networks to enhance global connectivity and broadband services.

📚 Publications:

Compressed Amharic Text: A Prediction by Partial Match Context-Modeling Algorithm (2024) – Communications in Computer and Information Science

Robust rateless space-time block coding for mmWave massive MIMO system (2024) – Heliyon

Coverage and Performance Evaluation of Multibeam Stratospheric Platforms Wireless Broadband Services (2024) – Journal of Computational Science & Data Analytics

Capacity, Coverage and Power Profile Performance Evaluation of a Novel Rural Broadband Services Exploiting TVWS from High Altitude Platform (2022) – IEEE Open Journal of the Computer Society

Performance Optimization of High-Altitude Platform Wireless Communication Network Exploiting TVWS Spectrums Based on Modified PSO (2022) – IEEE Open Journal of Vehicular Technology

🔍 Conclusion:

Dr. Habib Mohammed Hussien is a leading researcher and educator in AI-driven communication systems and high-altitude platforms. His cutting-edge research, extensive publications, and industry collaborations position him as an influential figure in wireless communication, IT security, and electrical system design. With a commitment to innovation and academic excellence, Dr. Habib continues to shape the future of AI and communication networks. 🚀

Abimbola Efunogbon | 5G Networks | Best Researcher Award

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Dr. Abimbola Efunogbon |5G Networks | Best Researcher Award

PhD Candidate, University of Bedfordshire, United Kingdom

Dr. Bims Efunogbon is an innovative and people-centric leader with over 15 years of expertise in software engineering, cloud computing, and AI-driven infrastructure. Based in Bedford, UK, she has successfully built and managed distributed engineering teams across remote environments, delivering cutting-edge solutions in developer tools, automation, and cloud architectures. With a strong foundation in digital transformation, she combines strategic oversight with deep technical proficiency to streamline operations and drive business growth. Passionate about AI/ML, DevOps, and cybersecurity, Dr. Efunogbon continues to leverage her expertise to modernize platforms and enhance engineering best practices.

Publication Profile

Scopus

🎓 Education

Dr. Efunogbon holds a PhD in Machine Learning (2024) from the University of Bedfordshire, where she conducted advanced research in AI and network optimization. She also earned an MSc in Computing & Entrepreneurship from the same university, blending technical expertise with business acumen. Her academic journey began with a BSc in Chemical & Polymer Engineering from Lagos State University, Nigeria, providing her with a strong analytical and problem-solving foundation. Additionally, she has completed specialized training in SOA & Service-Oriented Computing and holds certifications in Microsoft Visual Basic.NET and Accounting (Bookkeeping, SAGE).

💼 Experience

With a career spanning over a decade, Dr. Efunogbon has demonstrated exceptional leadership in managing cross-functional engineering teams, overseeing cloud infrastructure, and implementing DevOps practices. She excels in process automation, AI/ML applications, and high-performance computing, enabling seamless integration of innovative solutions across multiple industries. Her expertise includes strategic technology implementation, cloud computing, and agile methodologies, ensuring operational excellence and efficiency. She has successfully led remote engineering teams, coached talent, and driven digital transformation initiatives in various sectors, reinforcing her role as a key industry expert.

🏆 Awards and Honors

Dr. Efunogbon has received numerous accolades for her outstanding contributions, including the Outstanding Staff of the Year (2011) and Best Canvasser of the Year at Debenhams (2009). She was also recognized as the Best Female Engineering Student by APWEN (2001), highlighting her academic excellence and leadership in STEM fields.

🔬 Research Focus

Dr. Efunogbon’s research revolves around AI-driven network optimization, cloud computing, and MLOps. Her work primarily explores the orchestration of 5G network sub-slicing using machine learning in fully virtualized environments, ensuring enhanced performance and efficiency. She is passionate about leveraging emerging technologies to create scalable, intelligent, and secure infrastructure solutions that drive digital transformation.

🔍 Conclusion

Dr. Bims Efunogbon is a dynamic leader, researcher, and innovator dedicated to driving digital transformation and AI-powered solutions. With a strong background in software engineering, cloud computing, and machine learning, she continues to shape the future of AI-driven network optimization and engineering leadership. Her contributions to academia and industry reinforce her commitment to technological excellence and operational efficiency. 🚀

📚 Publications

Optimal 5G Network Sub-Slicing Orchestration in a Fully Virtualised Smart Company Using Machine Learning – Future Internet (2025) Read Here
Cited by 1 document

 

Emmanouil Genikopoulos | Media | Best Researcher Award

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Mr. Emmanouil Genikopoulos | Media | Best Researcher Award

PhD Candidate, Democritus University of Thrace, Greece

Emmanouil Genikopoulos is a dedicated PhD candidate at the Management Science & Technology Department of Democritus University of Thrace, Greece 🎓. His research delves into the challenges and risks faced by the Greek Regional Press, exploring its sustainability in the digital age 📰. With a strong background in mathematics and business administration, he combines analytical skills with strategic insights to address the evolving media landscape. As the Managing Director of Proininews.gr, he plays a pivotal role in shaping the editorial and business strategy of the platform.

Publication Profile

ORCID

📖 Education

Emmanouil holds a Bachelor’s degree in Mathematics from Aristotle University of Thessaloniki (2020) 🔢. To strengthen his leadership and management expertise, he pursued an Executive Master in Business Administration from International Hellenic University (2022) 🎓. His commitment to continuous learning is evident through specialized certifications, including a seminar on Mathematics Text Composition with LaTeX (2018) 📑, the Google Grow Greek Tourism Online Digital Skills Seminar (2017) 🌐, the Michigan Certificate of Proficiency in English (2011) 🇬🇧, and the Diplôme d’Études en Langue Française (DELF B2) (2011) 🇫🇷.

💼 Experience

Emmanouil began his career as a Mathematics Instructor at a private tutorial center (2018-2021) 📚, where his passion for teaching and analytical problem-solving was ignited. Since 2018, he has been serving as the Managing Director of Proininews.gr 🏢, overseeing editorial operations, business growth, and digital transformation strategies. His role in the media sector complements his academic research, allowing him to gain firsthand insights into the evolving challenges of regional journalism.

🏆 Awards and Honors

While specific awards are not listed, Emmanouil’s contributions to academia and journalism demonstrate his dedication to research and media development 🏅. His expertise in the intersection of digital transformation and regional journalism positions him as a thought leader in the field.

🔬 Research Focus

Emmanouil’s research centers on the Greek Regional Press and its fight for survival in the digital era 📑. His work examines the impact of internet proliferation, competition from online platforms, and the economic sustainability of traditional journalism. Through his PhD studies, he aims to provide innovative strategies to help regional media outlets adapt to the digital shift and remain relevant.

🔎 Conclusion

Emmanouil Genikopoulos is a passionate researcher and media professional who bridges the gap between academia and journalism 🏛️. His work aims to safeguard the future of the Greek Regional Press by addressing digitalization challenges and proposing sustainable business models. Through his research and leadership, he is actively contributing to the evolving discourse on media resilience in the digital age 🌍

📝 Publication

Issues and Challenges Facing the Greek Regional Press: Fight for Survival.

journalism and Media.

DOI: 10.3390/journalmedia6010037 📰.

Abdulkafi Sanada | hypergraph | Best Researcher Award

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Mr. Abdulkafi Sanada | hypergraph | Best Researcher Award

PhD STUDENT, YUNANN UINVERCITY, China

Abdulkafi Saaeed Qaid Sanad is a dedicated PhD student at Yunnan University, Kunming, China, specializing in Computing Mathematics. His research focuses on hypergraphs and their applications in sensor networks and biological systems. With a strong analytical background, he has contributed to advancing knowledge in hypergraph theory, particularly in domination parameters and their real-world applications. His work is recognized for its mathematical rigor and computational insights, making significant strides in theoretical and applied graph studies.

Publication Profile

ORCID

🎓 Education:

Abdulkafi is currently pursuing his PhD at Yunnan University, where he is engaged in high-level research on hypergraph applications. His academic journey is marked by excellence in mathematical computing, with a specialization in graph theory and combinatorial optimization. His work integrates theoretical mathematics with practical applications, making significant contributions to his field.

💼 Experience:

As an emerging researcher, Abdulkafi has completed four research projects, demonstrating expertise in computational mathematics and applied hypergraph theory. He has authored a research paper that provides fundamental results on partial total domination in hypergraphs, establishing new theoretical frameworks and analytical techniques. His research has been instrumental in enhancing the understanding of hypergraph structures and their role in networked systems.

🏆 Awards and Honors:

Abdulkafi’s contributions to hypergraph research have gained recognition, and he has been nominated for the Best Researcher Award in the Computer Scientists Awards. His scholarly work, which has been published in a prestigious journal, is gaining traction in the academic community, reflected in its growing citation index.

🔬 Research Focus:

Abdulkafi’s research is centered on hypergraph theory and its applications in sensor networks and biological systems. His recent study on partial total domination in hypergraphs establishes tight bounds and explores relationships with classical domination parameters. His findings offer valuable insights into optimizing network structures and biological modeling, verified through both analytical and computational methods. His research bridges theoretical mathematics with real-world applications, enhancing the efficiency and robustness of complex systems.

🔎 Conclusion:

Abdulkafi Saaeed Qaid Sanad is a promising researcher in Computing Mathematics, making valuable contributions to hypergraph theory. His work integrates deep mathematical concepts with practical applications in networked and biological systems, providing a strong foundation for future advancements in computational mathematics. With his growing academic impact and dedication to innovative research, he is well on his way to becoming a leading expert in the field. 🚀

📚 Publication:

Partial Total Domination in Hypergraphs
Mathematics
2025 | journal-article

Yansheng Wu | Computer Science | Best Researcher Award

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Dr. Yansheng Wu | Computer Science | Best Researcher Award

Associate Professor, Nanjing University of Posts and Telecommunications, China

Dr. Yansheng Wu is a distinguished researcher and Associate Professor at the School of Computer Science, Nanjing University of Posts and Telecommunications, China. With a strong background in Pure Mathematics, his expertise lies in Finite Fields, Cryptography, and Coding Theory. He has made significant contributions to algebraic coding theory and applications of algebra in cryptographic systems. Dr. Wu has held esteemed positions as a Postdoctoral Research Fellow at Ewha Womans University and a Visiting Scholar at the Hong Kong University of Science and Technology. His scholarly work is widely recognized, with numerous publications in prestigious journals such as IEEE Transactions on Information Theory and Finite Fields and Their Applications. In addition to his research, he actively contributes as a reviewer for multiple high-impact journals, making him a key figure in the field of applied mathematics and cryptography. 📚✨

Publication Profile

🎓 Education

Dr. Yansheng Wu holds a Ph.D. in Pure Mathematics from Nanjing University of Aeronautics and Astronautics (2019), where he focused on algebra and number theory applications in coding theory. He earned his MSc in Pure Mathematics from Guangxi Teachers Education University (2016), working on matrix rings and finite group rings. His academic journey began with a BSc in Mathematics and Applied Mathematics from Anhui Normal University (2013), where he explored number partitions. His rigorous training in algebra, number theory, and their cryptographic applications has shaped his prolific research career. 🎓🔢

💼 Experience

Dr. Wu’s professional journey includes serving as an Associate Professor at Nanjing University of Posts and Telecommunications since 2020. Prior to that, he completed a postdoctoral fellowship at Ewha Womans University, South Korea, where he collaborated on advanced research in finite fields. His academic engagements also include a visiting scholar position at the Hong Kong University of Science and Technology in 2023-2024, enhancing international collaborations in cryptography and coding theory. He has participated in prestigious research forums, including the East Asian Core Doctoral Forum at The University of Tokyo. 🌍📊

🏆 Awards and Honors

Dr. Wu has secured multiple prestigious research grants, including the National Natural Science Foundation of China (2022-2024) and the Talent Introduction Fund at Nanjing University of Posts and Telecommunications (2021-2023). His research excellence is also recognized through editorial board memberships at leading journals like AIMS Mathematics and numerous reviewing roles for top-tier mathematical and cryptographic journals, including IEEE Transactions on Information Theory and Finite Fields and Their Applications. 🏅🔬

🔬 Research Focus

Dr. Wu’s research interests span Finite Fields, Coding Theory, Cryptography, and Algebraic Structures. His work explores the design and analysis of linear codes, algebraic cryptosystems, and combinatorial structures over finite fields. He has extensively studied the properties of MDS codes, Reed-Solomon codes, and quaternary codes, contributing novel constructions with optimal parameters. His interdisciplinary approach integrates number theory with applied cryptography, making his research pivotal in modern data security and error correction. 🔢🛡️

🔚 Conclusion

Dr. Yansheng Wu is a leading figure in the field of mathematics, cryptography, and coding theory. His contributions to algebraic coding, finite fields, and cryptographic structures have significantly impacted secure communications and data integrity. Through his research, editorial roles, and academic collaborations, he continues to shape the future of cryptographic mathematics, making lasting contributions to theoretical and applied aspects of the discipline. 🚀🔢

📚 Publications

Two classes of twisted generalized Reed-Solomon codes with two twists. Finite Fields and Their Applications, 104, 102595. [Cited by: TBD] 🔗 Link

When Does the Extended Code of an MDS Code Remain MDS? IEEE Transactions on Information Theory, 71(1), 263-272. [Cited by: TBD] 🔗 Link

Two classes of narrow-sense BCH codes and their duals. IEEE Transactions on Information Theory, 70(1), 131-144. [Cited by: TBD] 🔗 Link

Linear Complementary Dual Codes Constructed from Reinforcement Learning. Journal of System Science and Complexity. [Cited by: TBD] 🔗 Link

Two families of linear codes with desirable properties from some functions over finite fields. IEEE Transactions on Information Theory, 70(11), 8320-8342. [Cited by: TBD] 🔗 Link

Optimal few-weight codes and their subfield codes. Journal of Algebra and Its Applications, 23(4), 2450248. [Cited by: TBD] 🔗 Link

Two Infinite Families of Quaternary Codes. IEEE Transactions on Information Theory, 70(12), 8723-8733. [Cited by: TBD] 🔗 Link

Quaternary codes and their binary images. IEEE Transactions on Information Theory, 70(7), 4759-4768. [Cited by: TBD] 🔗 Link

 

Jiaxing Zhang | Chemistry | Best Researcher Award

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Ms. Jiaxing Zhang | Chemistry | Best Researcher Award

Shanxi Datong University, China

Jiaxing Zhang is a dedicated student and emerging researcher in the field of chemistry, currently studying at the School of Chemistry and Chemical Engineering, Shanxi Datong University 🏫. His primary research revolves around the preparation of fuel cell catalysts, contributing to advancements in clean energy technology ⚡. With a passion for innovation and sustainable energy solutions, Jiaxing is actively involved in research projects that explore the applications of metal–organic frameworks (MOFs) and their derivatives in fuel cells 🔬.

Publication Profile

ORCID

🎓 Education:

Jiaxing Zhang is pursuing his studies at Shanxi Datong University, specializing in chemistry and chemical engineering 📖. His academic journey is centered on fuel cell technology, where he is engaged in in-depth research on catalyst preparation to enhance the efficiency and performance of fuel cells ⚛️.

💼 Experience:

As a student researcher at Shanxi Datong University, Jiaxing has gained significant experience in the synthesis and application of fuel cell catalysts 🧪. His work includes exploring innovative materials, particularly metal–organic frameworks, to optimize fuel cell performance 🌍. His research contributions reflect a strong commitment to advancing clean energy solutions through scientific exploration 🔍.

🏆 Awards and Honors:

While still in the early stages of his academic career, Jiaxing Zhang’s dedication to fuel cell research has been recognized through his contributions to a peer-reviewed journal 🏅. His work in the field of metal–organic frameworks and their application in fuel cells highlights his potential for future accolades in research excellence 🏆.

🔬 Research Focus:

Jiaxing Zhang’s research is primarily focused on the preparation of fuel cell catalysts, with an emphasis on utilizing metal–organic frameworks (MOFs) to enhance fuel cell efficiency ⚡. His studies aim to develop advanced catalytic materials that can improve energy conversion rates and sustainability in fuel cell technology 🔄. His work contributes to the growing demand for cleaner and more efficient energy solutions 🚀.

📖 Publication:

Applications of Metal–Organic Frameworks and Their Derivatives in Fuel Cells (2025) – Published in Molecules 🔗 DOI: 10.3390/molecules30050981 📚.

📝 Conclusion:

Jiaxing Zhang is a promising young researcher with a deep interest in fuel cell technology and catalyst development. Through his work at Shanxi Datong University, he is actively contributing to the scientific advancements in sustainable energy 🌱. With his research on MOF-based catalysts, he aims to make a lasting impact on the future of fuel cell applications, positioning himself as a valuable contributor to clean energy innovations 🌎.

Leyi Zhao | Computer Science | Best Researcher Award

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Dr. Leyi Zhao | Computer Science | Best Researcher Award

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