Rashid Mehmood | Zoology | Best Researcher Award

Mr. Rashid Mehmood | Zoology | Best Researcher Award

Bahauddin zakariya university | Pakistan

Rashid Mehmood is a dedicated Pakistani researcher in Zoology with strong academic and research accomplishments, currently based in Multan, Punjab. He completed both his advanced and undergraduate degrees in Zoology from Bahauddin Zakariya University with outstanding academic performance supported by merit-based scholarships, focusing his research on genetic polymorphisms associated with human diseases. His professional experience as an assistant researcher at the Molecular and Parasitological Laboratory has enabled him to work on molecular epidemiology, host–pathogen interactions, and genetic markers linked to various health conditions. His research interests include molecular genetics, parasitology, genomics, disease susceptibility, and epidemiological investigations, contributing to scientific literature through publications on genetic diversity and pathogen detection in animals and humans. He possesses advanced laboratory skills including DNA extraction, PCR, gel electrophoresis, phylogenetic analysis, microscopy, biochemical assays, animal handling, and professional data acquisition, along with proficiency in statistical tools such as MEGA, GenBank, BLAST, and primer designing. He has attended scientific conferences, presented research, and completed multiple international MOOCs related to genomics, immunology, cancer biology, stem cell science, and infectious diseases. His outstanding academic journey earned him prestigious honors including merit scholarships and recognition for excellence. Overall, he is a promising rising researcher contributing to molecular zoology with a strong commitment to advancing scientific understanding in genetics and disease research.

Profile: Googlescholar

Featured Publications

  • Ullah, R., Afgan, S., Akhtar, M., Asif, M., Latif, M., Mehmood, R., Naeem, M., … (2023). Absence of GSTT1 and polymorphisms in GSTP1 and TP53 are associated with the incidence of acne vulgaris. Skin Research and Technology, 29(4), e13333. (Citations: 3)

  • Yasin, S., Ayesha, A., Rahman, H. U., Murtaza, I., Manzoor, H., Aqdas, A., … (2025). Molecular detection and genetic diversity of blood-borne pathogens infecting domestic donkeys (Equus asinus). Tropical Animal Health and Production, 57(4), 202. (Citations: 1)

  • Shakoor, S., Latif, M., Kam, K. H., Nasir, A., Mehmood, R., Akhtar, M., Akhlaq, M., … (2025). Association of genotypes at single-nucleotide polymorphisms in IL-28B, TGF-β1, TP53, MTHFR and GSTP1 gene and their combinations with ischemic stroke: a case-control study. IBRO Neuroscience Reports.

 

Chaima AOUICHE | Mathematics and Bioinformatics | Outstanding Scientist Award

Dr. Chaima AOUICHE | Mathematics and Bioinformatics | Outstanding Scientist Award

Dr. Chaima Aouiche is a dedicated academic and researcher in computer science with expertise in artificial intelligence, machine learning, cybersecurity, and bioinformatics. Born on October 24, 1990, in Tebessa, Algeria, she began her academic journey at Larbi Tebessi University and pursued her Ph.D. at Northwestern Polytechnical University (NPU), China. With international exposure, Dr. Aouiche has authored impactful publications on cancer gene prediction, data integration, and AI-based energy systems. She has collaborated across disciplines and countries, contributing to international conferences and peer-reviewed journals. Currently serving as a university teacher in Algeria, she is also a multilingual educator with teaching experience in China and Algeria. Dr. Aouiche combines technical knowledge with strong interpersonal skills and a passion for teaching, traveling, and community service, making her a well-rounded and globally competent scholar committed to innovation and education.

Profile

🎓 Education

Dr. Chaima Aouiche holds a strong academic foundation in computer science. She earned her Bachelor’s degree (2008–2011) and Master’s degree (2011–2013) in Computer Science from Larbi Tebessi University, Algeria, where she was recognized with the “Outstanding Student Award” in 2013. She expanded her horizons by studying the Chinese language for a year (2013–2014) at Northwestern Polytechnical University (NPU) in Xi’an, China. She then pursued a Ph.D. in Computer Science and Technology at NPU (2014–2021), focusing on stage-specific gene prediction, big data integration, and artificial intelligence. Throughout her academic journey, she acquired various global certifications, including Artificial Intelligence Foundations, Advanced Machine Learning, and Deep Learning, further enriching her qualifications. With multilingual skills in Arabic, French, English, and Chinese, she integrates global perspectives into her research and teaching. Her academic path reflects both depth and international breadth.

🧪 Experience

Dr. Chaima Aouiche has a diverse background in academia, industry, and cross-cultural teaching. She began her professional career in project management at MPE-MPI Investments, Tebessa (2011–2013), where she gained hands-on technical and administrative skills. In 2017, she taught English and Arabic in Xi’an, China, enhancing her intercultural communication and educational outreach. Currently, she works as a university teacher in Algeria, engaging in teaching, research supervision, and publication. Her training includes courses in project management, AI, and big data, complemented by technical expertise in programming (Python, Java, R), MATLAB, web technologies, and networking. Her ability to communicate in four languages (Arabic, French, English, Chinese) and her volunteering and mentoring activities reflect her commitment to holistic professional development. Dr. Aouiche’s career is defined by interdisciplinary collaboration, international exposure, and a passion for applied technological solutions, making her an asset in both academia and industry.

🏅 Awards and Honors

Dr. Aouiche’s academic and professional excellence has been recognized through multiple awards and certificates. She was awarded the Outstanding Student Award by Larbi Tebessi University in 2013. Her further accolades include numerous international certifications, such as the HSK 4 Chinese Proficiency Certificate, Artificial Intelligence and Big Data Training (Xi’an Jiaotong University), AI Foundations Masterclass (2023), and Advanced Machine Learning and Deep Learning Certificates (2024). She has also been recognized for her participation in global academic initiatives, such as the International Winter Camp (2017) and the Silk Road Engineering Science Program (2020). In addition to formal honors, her significant co-authorship on high-impact publications in BMC Bioinformatics, Frontiers in Genetics, and IEEE conferences speaks to her professional standing. These accolades collectively highlight her dedication to academic distinction, global engagement, and technological innovation.

🔬 Research Focus

Dr. Aouiche’s research intersects bioinformatics, artificial intelligence, machine learning, and cybersecurity. Her work has emphasized integrating multiple datasets to predict stage-specific cancer-related genes, mapping copy number variations, and modeling aberrant genomic events. She co-authored key studies published in BMC Bioinformatics, Frontiers in Genetics, and Quantitative Biology, which propose dynamic gene modules and data-driven cancer diagnostics. Recent work explores ensemble learning and AI approaches to detect cyberattacks using integrated datasets, showing a pivot toward cybersecurity and smart systems. Additionally, her research extends into renewable energy, specifically applying AI models to optimize photovoltaic systems and MPPT (Maximum Power Point Tracking) control. Her interdisciplinary approach bridges computational biology and engineering, reflecting her adaptability and innovative vision. Dr. Aouiche is particularly interested in applied AI that addresses real-world challenges in medicine, energy, and security, with a growing focus on industry 4.0 applications.

Conclusion

Dr. Chaima Aouiche is an innovative computer scientist and academic whose international education, multidisciplinary research in AI and bioinformatics, commitment to teaching, and dynamic professional experiences make her a valuable contributor to global science and technology.

Publications