Cuihua Liu | Data-informed Decision Making | Best Researcher Award

Dr. Cuihua Liu | Data-informed Decision Making | Best Researcher Award

Bio-Thera Solutions Ltd | China

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EARLY ACADEMIC PURSUITS 🎓

Dr. Cuihua Liu’s academic journey laid the foundation for her extraordinary career in the biotech and biopharma industry. She began her studies at Central China Normal University, where she earned her M.Sc. in Bioorganic Chemistry in 1989, under the mentorship of distinguished professors. She then went on to pursue a Ph.D. in Biophysical Chemistry at The University of Western Ontario, Canada, where she worked under the supervision of Dr. Nils O. Petersen. Her doctoral research focused on the design and analysis of dendritic bifunctional ligands and their dynamic properties within biomembranes, providing her with a solid understanding of molecular chemistry and protein interactions. This academic background, combined with postdoctoral research in molecular biology, prepared her for the technical challenges she would face in the biotech industry.

PROFESSIONAL ENDEAVORS 🌐

Dr. Liu’s professional trajectory spans more than 20 years in the biotech and biopharmaceutical industry, with leadership roles in both the U.S. and China. Her career is marked by her ability to translate academic knowledge into practical, real-world solutions in drug development. Dr. Liu has worked for global companies such as Pfizer, Momenta Pharmaceuticals, and Bio-Thera Solutions. She also founded and led several biotech startups, including United-Power Biotechnology Co. Ltd. in Beijing and Huaota Biopharma in Shanghai, showcasing her entrepreneurial spirit and her deep commitment to advancing the biopharma sector. Throughout her career, Dr. Liu has overseen the development of over 50 biologics and non-biologics R&D programs, including the development of antibody biosimilars and novel biologic therapies.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Liu’s contributions to the biopharma field are vast, particularly in the area of CMC (Chemistry, Manufacturing, and Controls) development and regulatory affairs. She has led the development of critical biologics such as monoclonal antibodies, bispecific antibodies, antibody-drug conjugates (ADCs), and glycoproteins. Dr. Liu’s expertise spans all stages of biologics development, from R&D and process optimization to regulatory filings and commercialization. Her research has focused on improving the manufacturing processes for complex biologics, ensuring compliance with global regulatory standards (such as FDA, EMA, and cFDA), and optimizing the scalability and quality of drug products. She is credited with the successful submission of numerous IND (Investigational New Drug) applications and BLA (Biologics License Applications) that have enabled the approval of biologics across multiple international markets.

IMPACT AND INFLUENCE 🌍

Dr. Liu’s impact on the biopharma industry, particularly in China, is profound. She has been instrumental in guiding Chinese biotech companies through the complex regulatory landscape, ensuring they meet international standards and expand their reach globally. Dr. Liu’s leadership in the development of biosimilars, particularly for blockbuster drugs like Humira and Avastin, has not only advanced the availability of affordable treatments but also paved the way for other biotech companies to follow in her footsteps. Her influence extends beyond corporate leadership, as she has contributed to the globalization of multiple companies by offering strategic consultation on corporate development and quality systems.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Liu is a respected researcher with over 25 peer-reviewed international publications and has co-invented over 15 patents. Her work on the characterization of complex biologics, including glycoproteins, monoclonal antibodies, and ADCs, is highly regarded in the scientific community. Her academic contributions have been cited by researchers in both the academic and industrial sectors, establishing her as a thought leader in biopharma development. Dr. Liu’s ability to bridge the gap between academia and industry has helped shape modern approaches to biologics development, particularly in China.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Liu’s legacy in the biotech and biopharma industry is characterized by her technical expertise, leadership, and entrepreneurial vision. Her pioneering work in biologics development, particularly in the area of biosimilars and novel therapeutics, has significantly contributed to global health. As an independent consultant, Dr. Liu continues to shape the future of the industry, offering her vast knowledge and experience to emerging companies seeking to navigate the complexities of drug development and regulatory approval. Her work will undoubtedly continue to influence the future of biologics and biopharmaceutical innovation, ensuring that the next generation of drugs will be safer, more affordable, and more accessible to patients around the world.

PERSONAL QUALITIES AND LEADERSHIP STYLE 🏅

Dr. Liu is known for her strong leadership skills, exceptional technical expertise, and collaborative approach to team management. She has built and mentored diverse teams throughout her career, fostering an environment of innovation and growth. Her leadership style is characterized by a combination of strategic thinking, technical proficiency, and a hands-on approach to problem-solving. Dr. Liu’s ability to navigate complex challenges and lead teams toward success has made her a respected figure in the biopharma community.

LEGACY IN EDUCATION AND MENTORSHIP 🌱

Dr. Liu has also contributed significantly to the education and mentorship of future leaders in the biopharma industry. She has been an invited speaker at over 50 international conferences and has shared her expertise in various forums, influencing and inspiring countless professionals. Dr. Liu’s legacy extends beyond her personal achievements, as she continues to mentor the next generation of biopharma experts, encouraging them to push the boundaries of scientific discovery and innovation.

TOP NOTES PUBLICATIONS 📚 

Comparative Structure Activity Relationship Characterization of the Biosimilar BAT1806/BIIB800 to Reference Tocilizumab
    • Authors: Yujie Liu, Jianhua Xie, Zhuxiang Li, Xiong Mei, Di Cao, Shengfeng Li, Linda Engle, Suli Liu, Hans C. Ebbers, Cuihua Liu

    • Journal: BioDrugs

    • Year: 2025-03

Correction to: Demonstration of Physicochemical and Functional Similarity of the Biosimilar BAT1806/BIIB800 to Reference Tocilizumab
    • Authors: Yujie Liu, Jianhua Xie, Zhuxiang Li, Xiong Mei, Di Cao, Shengfeng Li, Linda Engle, Suli Liu, Hans C. Ebbers, Cuihua Liu

    • Journal: BioDrugs

    • Year: 2024-09

Demonstration of Physicochemical and Functional Similarity of the Biosimilar BAT1806/BIIB800 to Reference Tocilizumab
    • Authors: Yujie Liu, Jianhua Xie, Zhuxiang Li, Xiong Mei, Di Cao, Shengfeng Li, Linda Engle, Suli Liu, Hans C. Ebbers, Cuihua Liu

    • Journal: BioDrugs

    • Year: 2024-07

Physicochemical and Functional Similarity Assessment Between Proposed Bevacizumab Biosimilar BAT1706 and Reference Bevacizumab
    • Authors: Di Cao, Chunping Deng, Guangying Wang, Xiong Mei, Jianhua Xie, Yuanmei Liu, Yujie Liu, Yili Yang, Shengfeng Li, Cuihua Liu

    • Journal: Drugs in R&D

    • Year: 2023-09

 

Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Dr. Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Prince Sattam Bin Abdulaziz University | Saudi Arabia

PUBLICATION PROFILE

Scopus

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INTRODUCTION 🌟

Dr. Sultan Ahmad is a distinguished academician and researcher in the field of Computer Science, currently serving as a Senior Lecturer at Prince Sattam Bin Abdulaziz University in Al-Kharj, Kingdom of Saudi Arabia. With over 15 years of academic experience and a rich background in industrial work, Dr. Ahmad has become a pivotal figure in AI, IoT, and Sustainable Development research. His dedication to advancing knowledge and contributing to societal betterment is exemplified through his ongoing and completed research projects.

EARLY ACADEMIC PURSUITS 🎓

Dr. Ahmad began his academic journey with a Bachelor of Science in Computer Science and Applications from Patna University, India, where he achieved distinction in 2002. He further pursued a Master of Computer Science and Applications from Aligarh Muslim University, graduating with distinction in 2006. His pursuit of excellence continued with a Ph.D. in Computer Science from Glocal University, Saharanpur, India. These foundational achievements have laid the groundwork for his extensive contributions to computer science research and education.

PROFESSIONAL ENDEAVORS 💼

Since 2009, Dr. Sultan Ahmad has been a Senior Lecturer in the College of Computer Engineering and Sciences at Prince Sattam Bin Abdulaziz University. His professional journey spans both academic and industrial sectors, with over three years of industrial work experience and a significant academic role. His research expertise includes AI-based models, IoT, Smart Cities, Agriculture 4.0, and innovative solutions for enhancing technological infrastructure.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Ahmad’s research is primarily focused on the intersection of Artificial Intelligence, Internet of Things (IoT), and Sustainable Development. His ongoing research projects include AI-based models for facial emotion recognition and politeness assessment, as well as AI and IoT approaches for sustainable smart cities. He has also led groundbreaking projects in IoT-based agriculture security, intrusion detection systems, and the integration of IoT and fog computing in the 5G era. Dr. Ahmad’s work is at the forefront of addressing current technological challenges and envisioning future solutions.

IMPACT AND INFLUENCE 🌍

Through his leadership in research and academic contributions, Dr. Sultan Ahmad has made a significant impact on both the academic community and society. His work in AI, IoT, and sustainable development aims to create smart, secure, and sustainable environments that can improve quality of life globally. The outcomes of his projects, such as advancements in agriculture security and smart cities, hold immense potential to address pressing global challenges.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Sultan Ahmad’s scholarly output is impressive, with multiple publications in prestigious journals and conferences. He has received recognition for his work in the areas of machine learning, cloud computing, IoT, and 5G technologies. His research papers are widely cited in academic circles, and his contributions are accessible through platforms like Google Scholar and Scopus, highlighting his influence in the field.

HONORS & AWARDS 🏆

Dr. Sultan Ahmad’s excellence in research and academia has been recognized through various accolades. He holds a certification from DELL EMC as an Academic Associate in Cloud Infrastructure and Services. Additionally, his contributions as an academic editor, reviewer for renowned journals, and guest editor for special issues have further solidified his standing in the academic community.

LEGACY AND FUTURE CONTRIBUTIONS 🚀

Dr. Sultan Ahmad’s legacy is characterized by his relentless pursuit of innovation and his passion for developing technologies that benefit society. His future endeavors are focused on further advancing the field of AI and IoT, particularly in areas that contribute to the betterment of smart cities, agriculture, and sustainable development. As an educator, he continues to inspire the next generation of computer science professionals, ensuring that his influence will be felt for years to come.

FINAL NOTE ✨

Dr. Sultan Ahmad’s journey from an early academic enthusiast to a prominent figure in the fields of AI, IoT, and Sustainable Development is a testament to his dedication and passion for technology. His ongoing research projects and academic endeavors promise to make a lasting impact on the world, and his commitment to shaping future generations of scholars is evident in his teaching and mentorship.

TOP NOTES PUBLICATIONS 📚

A Novel AI-Based Stock Market Prediction Using Machine Learning Algorithm
    • Authors: M Iyyappan, S Ahmad, S Jha, A Alam, M Yaseen, HAM Abdeljaber

    • Journal: Scientific Programming

    • Year: 2022

Architecture of Data Lake
    • Authors: S Ahmad, A Singh

    • Journal: International Journal of Scientific Research in Computer Science

    • Year: 2019

Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things
    • Authors: S Ahmad, S Khan, MF AlAjmi, AK Dutta, LM Dang, GP Joshi, H Moon

    • Journal: Computers, Materials & Continua

    • Year: 2022

Secure Smart Healthcare Monitoring in Industrial Internet of Things (IIoT) Ecosystem with Cosine Function Hybrid Chaotic Map Encryption
    • Authors: J Khan, GA Khan, JP Li, MF AlAjmi, AU Haq, S Khan, N Ahmad, …

    • Journal: Scientific Programming

    • Year: 2022

IoT Based Pill Reminder and Monitoring System
    • Authors: S Ahmad, H Mahamudul, M Gouse Pasha

    • Journal: International Journal of Computer Science and Network Security

    • Year: 2020

Efficient communication in wireless sensor networks using optimized energy efficient engroove leach clustering protocol
    • Authors: N Meenakshi, S Ahmad, AV Prabu, JN Rao, NA Othman, HAM Abdeljaber, …

    • Journal: Tsinghua Science and Technology

    • Year: 2024

Ensemble learning driven computer-aided diagnosis model for brain tumor classification on magnetic resonance imaging
    • Authors: T Vaiyapuri, J Mahalingam, S Ahmad, HAM Abdeljaber, E Yang, …

    • Journal: IEEE Access

    • Year: 2023