Early Academic Pursuits

Dr. Bader Alsharif began his academic journey with a Bachelor of Science in Computer Engineering from the College of Technology in Riyadh, Saudi Arabia, where he graduated in 2008. He further advanced his knowledge with a Master of Science in Computer Engineering from the Florida Institute of Technology in 2017. Currently, he is pursuing a Doctorate in Computer Engineering at Florida Atlantic University, with an expected graduation in May 2025. This strong academic foundation has equipped him with a profound understanding of advanced computing principles and methodologies.

Professional Endeavors

Dr. Alsharif has contributed significantly to academia and technology for over a decade. As a lecturer at the Communications and Information College in Riyadh, he led pioneering projects, including establishing Saudi Arabia’s first CISCO simulation lab. At Florida Atlantic University, he currently serves as a Teaching Assistant, mentoring students and fostering innovation through hands-on learning experiences.

Contributions and Research Focus

Dr. Alsharif’s research portfolio spans Artificial Intelligence (AI), Cybersecurity, and the Internet of Things (IoT). His work emphasizes integrating these technologies to enhance healthcare systems, focusing on improving patient outcomes and addressing critical challenges in digital health. With over seven peer-reviewed publications, his research is recognized for its innovation and real-world applications.

Impact and Influence

Dr. Alsharif has demonstrated an unwavering commitment to empowering individuals with special needs. He has designed and implemented curricula tailored to their unique requirements, directly impacting the academic success of over 3,000 students. His efforts to showcase their talents during Arab Deaf Week have brought international attention to inclusivity and accessibility in education.

Academic Citations and Legacy

Dr. Alsharif’s scholarly contributions have been widely cited in fields intersecting AI and Cybersecurity. His dedication to bridging the gap between research and practical applications ensures his legacy as a thought leader in technology-driven healthcare innovation.

Technical Expertise

Proficient in programming languages like C, Python, and MATLAB, Dr. Alsharif possesses advanced skills in GitHub, MS Office, and CISCO technologies. As a Certified Trainer of Trainers and CCNA1 expert, he excels in both technical implementation and knowledge transfer.

Teaching Excellence

With extensive teaching experience, Dr. Alsharif has guided over 3,000 students, including those with special needs, achieving exemplary performance ratings. His role at Florida Atlantic University involves mentoring engineering design projects and addressing technical queries, fostering a supportive learning environment.

Legacy and Future Contributions

Dr. Alsharif envisions leveraging his expertise in AI, IoT, and Cybersecurity to drive impactful innovations in healthcare. His ongoing doctoral research aims to create scalable, technology-driven solutions that revolutionize patient care and accessibility. By integrating technical excellence with a commitment to inclusivity, Dr. Alsharif is poised to make transformative contributions to the fields of education, research, and healthcare technology.

 

Early Academic Pursuits

Prof. Ying Wang began her academic journey with a Bachelor’s degree in Chemistry from Sichuan University, Chengdu, China (2009–2013). Under the guidance of Prof. Ying Xue (H-index: 33), she demonstrated exceptional talent, earning the “Outstanding Dissertation of Sichuan University” award. She furthered her education with a Doctoral degree at the State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai (2013–2018), where she was mentored by esteemed researchers Prof. John Zeng Hui Zhang (H-index: 58), Prof. Xiao He (H-index: 40), and co-advised by Prof. Donald G. Truhlar (H-index: 194). Her dedication earned her the “Shanghai Outstanding Doctoral Graduates” award and the prestigious “President Scholarship of East China Normal University.”

Professional Endeavors

Prof. Ying Wang’s professional career began at Hunan Normal University, where she initially served as an Associate Professor (2018–2020) before being promoted to Professor and Doctoral Supervisor in 2020. She is affiliated with the National and Local Joint Engineering Laboratory of Animal Peptide Drug Development, College of Life Sciences. Her professional trajectory highlights her commitment to advancing the fields of quantum chemistry and drug development.

Contributions and Research Focus

Prof. Wang specializes in density functional theory, quantum chemistry calculations, and computer-aided drug design. Her research extends to understanding protein-protein, protein-peptide, and protein-ligand interactions. Notably, her work integrates artificial intelligence to revolutionize drug discovery, focusing on developing high-precision predictive models for protein-peptide interaction energies.

Impact and Influence

Prof. Wang has made significant contributions to computational chemistry, evident in her extensive list of 18 high-impact publications. Her groundbreaking work on the M06-SX screened-exchange density functional and the development of novel inhibitors targeting critical biological pathways has garnered international recognition. Her research not only advances theoretical frameworks but also holds practical implications for drug discovery and molecular modeling.

Academic Cites

Prof. Wang’s publications have been featured in esteemed journals such as Nature Computational Science, Proceedings of the National Academy of Sciences USA, and Journal of Chemical Theory and Computation. Her collaborations with leading scientists like Prof. Donald G. Truhlar underscore the global impact of her research.

Technical Skills

Prof. Wang is proficient in advanced quantum chemistry software and computational tools, enabling her to model complex molecular systems with precision. Her expertise extends to artificial intelligence applications in drug discovery, molecular dynamics simulations, and high-throughput screening.

Teaching Experience

As an educator, Prof. Wang is committed to shaping the next generation of scientists. She teaches courses such as Biometrics for undergraduate students and Engineering Mathematics, Molecular Modelling, and Life Science Frontiers for postgraduate students. Her innovative teaching methods inspire students to excel in both theoretical and applied sciences.

Legacy and Future Contributions

Prof. Wang’s contributions to computational chemistry and drug development have laid a strong foundation for future advancements in the field. Her ongoing projects, supported by prestigious grants such as the National Natural Science Foundation of China and the Hunan Provincial Department of Education, promise to push the boundaries of quantum chemistry and artificial intelligence applications. Dr. Wang’s vision for the future emphasizes interdisciplinary collaboration and the development of cutting-edge tools for molecular modeling and drug discovery.