Frnaz Akbar | AI in Healthcare | Best Researcher Award

Dr. Frnaz Akbar | AI in Healthcare | Best Researcher Award

Lecturer at National University Of Modern Languages (NUML), Pakistan

A diligent and dedicated computer science educationist, researcher, and web developer with over a decade of experience in teaching and software development. Passionate about enhancing students’ knowledge in computer science, with a strong commitment to high-quality education at all levels. An innovative thinker with substantial expertise in designing productive lesson plans aligned with the latest curriculum and industry trends. With profound experience in research and development, he continuously contributes to the academic and technological community through research in artificial intelligence, data mining, and other emerging fields.

Profile

Scopus

Education

Currently pursuing a Ph.D. in Artificial Intelligence at Air University, Islamabad, he has an extensive academic background in software engineering and information technology. He completed an MS in Software Engineering (2018-2020) from Bahria University, Islamabad, and a Master’s in Information Technology (2015-2017) from PMAS ARID University, Rawalpindi, securing a first division in all degrees. His foundational education includes a Bachelor’s in Computer Science from Punjab University, Lahore, a Bachelor’s in Education from Sarhad University, Islamabad, and early education from Islamabad College, F-6/2.

Experience

With a solid career in academia and software development, he is currently serving as a Senior Lecturer at NUML University, Islamabad, in the Department of Software Engineering since September 2023. He previously worked as a Senior Computer Science Teacher at IMCG F-10/2 (2017-2023) and ISS, G-13/1, Islamabad (2013-2017). Additionally, he has been a part-time Computer Tutor at Allama Iqbal Open University since 2020. His professional journey also includes a brief tenure as a Software Developer at K-Soft, Ministry of Defense, in 2015.

Research Interest

His research interests lie in artificial intelligence, data mining, precision agriculture, pattern recognition, the Internet of Things, edge computing, blockchain, and requirement engineering. His work contributes to advancements in machine learning applications and real-world AI implementations.

Awards

His dedication to academic excellence has been recognized through multiple awards, including the Best Teacher Trophy at IMCG F-10/2, Islamabad. He also served as a Teacher Assistant at Bahria University, Islamabad, during his MS studies. He received a High Achiever Scholarship in every semester of his Master’s at PMAS ARID University and a Role of Honor Certificate from Punjab University, Lahore. Other notable recognitions include a high attendance certificate in HSSC and securing second position in SSC at IMCG F-7/2, Islamabad.

Publications

“Optimized Approach in Requirements Change Management in Geographically Dispersed Environment (GDE),” International Journal of Foundations of Computer Science, 2020.

“Identifying Lesions in Cotton Leaves Unconstrained Images using Deep Neural Network,” Computers in Biology and Medicine, PeerJ, 2024.

“Unlocking the Potential of EEG in Alzheimer’s Disease Research: Current Status and Pathways to Precision Detection,” Foundations and Trends in Machine Learning, Brain Research Bulletin, 2025.

“Assessing the Effects of Alzheimer Disease on EEG Signals using the Entropy Measure: A Meta-analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 (Under Review).

Conclusion

As a researcher, educator, and software professional, he continues to contribute significantly to the fields of artificial intelligence and computer science education. His commitment to academic excellence, innovative teaching methodologies, and impactful research makes him a valuable asset to the academic and professional community.

Hossein Nikzad | AI in Healthcare | Best Researcher Award

Prof. Hossein Nikzad | AI in Healthcare | Best Researcher Award

Kashan University of Medical Sciences, Iran

Hossein Nikzad is a distinguished academic and researcher affiliated with the Kashan University of Medical Sciences in Kashan, Iran. He is a key figure in the Anatomical Science Research Center at the university, contributing significantly to research in areas such as male infertility, pharmacology, oxidative stress, and reproductive biology. His scientific work is marked by his expertise in understanding complex biological mechanisms and exploring potential therapeutic approaches to treat infertility and related disorders.

Profile

Google Scholar

Education

Dr. Hossein Nikzad earned his academic qualifications from reputable institutions, building a solid foundation in the fields of anatomy and reproductive health. Over the years, his educational journey has been intertwined with his commitment to advancing scientific research in reproductive medicine, with a specific focus on male infertility and related pathologies.

Experience

Dr. Nikzad’s professional experience spans multiple research and teaching roles, where he has been a key contributor to both academic and scientific communities. His work at Kashan University of Medical Sciences is complemented by collaborations with national and international researchers. His research focuses on reproductive medicine, particularly the effects of oxidative stress on male infertility, therapeutic interventions, and the molecular biology of various reproductive conditions. His experience extends into various research domains, including the use of herbal medicine in infertility treatment and the exploration of novel biological markers.

Research Interests

Dr. Nikzad’s primary research interests lie in the areas of oxidative stress, male infertility, and the molecular underpinnings of reproductive health. He is also interested in the therapeutic potential of antioxidants and other herbal remedies in treating infertility. His studies have delved into various related fields, such as the interaction between long noncoding RNAs and gynecological cancers, the effects of diet on reproductive health, and the development of therapeutic strategies to combat viral infections like COVID-19.

Awards

Dr. Nikzad has earned recognition for his outstanding contributions to the field of anatomical sciences and reproductive medicine. His work has been cited widely in numerous scientific journals, reflecting his influence and leadership in these research areas. While specific awards or nominations are not detailed, his research impact, including over 3000 citations, speaks to his global recognition as a leader in his field.

Publications

Barati E, Nikzad H, Karimian M. “Oxidative stress and male infertility: current knowledge of pathophysiology and role of antioxidant therapy in disease management,” Cellular and Molecular Life Sciences, 77, 93-113, 2020.

Hosseini ES, Kashani NR, Nikzad H, Azadbakht J, Bafrani HH, et al. “The novel coronavirus Disease-2019 (COVID-19): Mechanism of action, detection and recent therapeutic strategies,” Virology, 551, 1-9, 2020.

Hosseini ES, Meryet-Figuiere M, Sabzalipoor H, Kashani HH, Nikzad H, et al. “Dysregulated expression of long noncoding RNAs in gynecologic cancers,” Molecular Cancer, 16, 1-13, 2017.

Kabir-Salmani M, Nikzad H, Shiokawa S, Akimoto Y, Iwashita M. “Secretory role for human uterodomes (pinopods): secretion of LIF,” Molecular Human Reproduction, 11(8), 553-559, 2005.

Mohammadi F, Nikzad H, Taherian A, Amini Mahabadi J, Salehi M. “Effects of herbal medicine on male infertility,” Anatomical Sciences Journal, 10(4), 3-16, 2017.

Aghaei S, Nikzad H, Taghizadeh M, Tameh AA, Taherian A, Moravveji A. “Protective effect of Pumpkin seed extract on sperm characteristics, biochemical parameters, and epididymal histology in adult male rats treated with Cyclophosphamide,” Andrologia, 46(8), 927-935, 2014.

Mobasseri N, Babaei F, Karimian M, Nikzad H. “Androgen receptor (AR)-CAG trinucleotide repeat length and idiopathic male infertility: A case-control trial and a meta-analysis,” EXCLI Journal, 17, 1167-1174, 2018.

Conclusion

Dr. Hossein Nikzad is a renowned researcher whose work has profoundly impacted the fields of reproductive biology, male infertility, and related therapeutic interventions. His extensive publications and research collaborations highlight his commitment to advancing scientific understanding of infertility and related disorders. Through his research, he continues to contribute valuable insights into improving the quality of life for individuals facing reproductive health challenges.

leilei pei | AI in Healthcare | Best Researcher Award

Prof. leilei pei | AI in Healthcare | Best Researcher Award

Professor | Xi’an Jiaotong University | China

Professor Leilei Pei is a prominent academic specializing in epidemiology and biostatistics. Currently serving as the Vice Director of the Department of Epidemiology and Health Statistics at the School of Public Health, Xi’an Jiaotong University, he is a leader in disease prediction modeling and life-cycle health promotion strategies. With over 50 scholarly publications, including contributions as the first or corresponding author, his work has significantly impacted public health methodologies. As a mentor to 29 graduate students and an editor of academic texts, Professor Pei exemplifies excellence in research, education, and professional service.

Profile

Orcid

Education

Professor Leilei Pei completed rigorous training in biostatistics and epidemiology, culminating in advanced degrees that laid the foundation for his research career. His education emphasized the integration of statistical methodologies with public health applications, equipping him to address complex health challenges. This educational background has enabled him to innovate in areas such as disease modeling and intervention strategies, contributing to advancements in public health.

Experience

With extensive experience in academic research and leadership, Professor Pei has played a pivotal role in multiple high-impact projects, including those funded by the National Natural Science Foundation of China. He has held key administrative positions at Xi’an Jiaotong University and collaborated on significant national and international initiatives. His expertise extends to serving as a reviewer for prestigious grants and participating in professional associations that shape public health policies.

Research Interests

Professor Pei’s research interests focus on the prevention and control of birth defects, nutritional epidemiology, and advanced statistical methods for longitudinal data analysis. He is particularly skilled in developing early warning models for congenital diseases and optimizing intervention strategies using hidden Markov models. These interests align with his commitment to improving population health through data-driven insights and innovative methodologies.

Awards

Professor Pei has been recognized for his contributions to public health research, including leading projects on congenital heart disease and myopia prevention. His innovative methodologies have earned acclaim from both academic and professional communities, establishing him as a leading figure in his field.

Publications

The Contribution of the Underlying Factors to Socioeconomic Inequalities in Obesity: A Life Course Perspective (2024, International Journal of Public Health)

    • Cited by: Articles focusing on life-course health disparities.

Life-Course Social Disparities in Body Mass Index Trajectories Across Adulthood (2023, BMC Public Health)

    • Cited by: Studies on social determinants of health.

Associations Between Trajectories of Cardiovascular Risk Factor Change and Cognitive Impairment (2023, Frontiers in Aging Neuroscience)

    • Cited by: Research on cardiovascular and neurological health intersections.

Effects of Potential Risk Factors on Cardiometabolic Multimorbidity Among the Elders in China (2022, Frontiers in Cardiovascular Medicine)

    • Cited by: Multimorbidity and aging studies.

The Association of Folic Acid, Iron Nutrition During Pregnancy and Congenital Heart Disease (2022, Nutrients)

    • Cited by: Nutritional epidemiology research.

Conclusion

Professor Leilei Pei’s career is a testament to his dedication to public health and biostatistics. Through ground breaking research, mentorship, and active participation in professional communities, he has contributed to improving health outcomes on both national and global scales. His work exemplifies the integration of innovative statistical approaches with real-world health challenges, making a lasting impact on the field.