Amir Lakizadeh | Bioinformatics | Best Researcher Award

Published on by Research Hypothesis

Dr. Amir Lakizadeh | Bioinformatics | Best Researcher Award

Faculty Staff, University of Qom, Iran

Dr. Amir Lakizadeh is an accomplished researcher and Assistant Professor at the University of Qom, specializing in machine learning and deep learning. As the head of the AI-driven Pharma and Medicine (AIPM) lab, his work spans multimedia, medical diagnostics, and pharmaceutics. With over a decade of academic and industry experience, Dr. Lakizadeh is known for leading cutting-edge projects, mentoring future researchers, and advancing AI applications in drug discovery and healthcare. 🚀📊

Profile

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🎓 Education

Dr. Lakizadeh began his academic journey at the University of Tehran, where he earned his Bachelor’s (2001–2005) and Master’s (2005–2007) degrees in Computer Science, focusing on bioinformatics and machine learning. He later completed his Ph.D. in Computer Engineering at Tarbiat Modares University (2011–2016), with research centered on machine learning, computational systems biology, and bioinformatics. 🎓📚

💼 Experience

Since 2008, Dr. Lakizadeh has served as an Assistant Professor at the University of Qom, contributing significantly to research in AI, multimedia, and medical imaging. He has mentored over 70 postgraduate students and spearheaded 30+ research publications. As the current Head of the Computer Engineering and IT Department, he oversees 1000+ students, academic programs, and research initiatives. 🏛️🧑‍🏫

🔬 Research Interest

Dr. Lakizadeh’s research interests include deep learning, computer vision, digital pathology, drug repurposing, anticancer peptide prediction, and Alzheimer’s detection. He is passionate about creating AI-driven solutions for real-world medical and pharmaceutical challenges. His interdisciplinary work integrates data from biology, medicine, and computer science to deliver impactful innovation. 💡🧠💊

🏅 Awards

While specific honors aren’t listed, Dr. Lakizadeh’s leadership of high-impact AI projects, numerous peer-reviewed publications, and influential role in academia highlight his excellence and recognition in the fields of computer science and bioinformatics. He is a highly respected figure in interdisciplinary AI research. 🏆📘

📚 Publications

PU-GNN: A Positive-Unlabeled Learning Method for Polypharmacy Side-Effects Detection, International Journal of Intelligent Systems, 2024.
Cited by: Multiple future studies in drug safety prediction.

Drug Repurposing Using Hypergraph Embedding, Journal of Computational Biology, 2024.
Cited by: Studies in computational drug discovery.

GADNN: Graph Attention-based Drug Association Method, Informatics in Medicine Unlocked, 2024.
Cited by: Research in bioinformatics and AI.

Detection of Polypharmacy Side Effects via CNN, Molecular Diversity, 2022.
Cited by: Pharmacological safety frameworks.

Drug-Drug Interaction via GNN, Scientific Reports, 2022.
Cited by: Advanced machine learning in pharma.

ASDvit: Autism Classification using Vision Transformer, Intelligence-Based Medicine, 2025.
Cited by: Pediatric AI diagnostic tools.

Early Diagnosis of Alzheimer’s Disease via ResNet50 and FSBi-LSTM, Informatica, 2025.
Cited by: Neuroscience AI literature.

Face Hallucination via GAN, Journal of Electrical Systems, 2024.
Cited by: Vision-based AI modeling.

Power-Efficient IoT Optimization, Journal of Electrical Systems, 2024.
Cited by: Industrial Internet of Things (IIoT) research.

🏆 Conclusion

Dr. Amir Lakizadeh demonstrates all the hallmark qualities of a Best Researcher Award recipient—innovation, productivity, leadership, and real-world impact. His work seamlessly bridges foundational AI with urgent healthcare and societal applications. With a few strategic steps toward global engagement and open dissemination, his already impressive profile could set a benchmark for excellence.

Kangyu Wang | Biology and Life Sciences | Best Researcher Award

Published on by Research Hypothesis

Kangyu Wang | Biology and Life Sciences | Best Researcher Award

Kangyu Wang,Jilin Agricultural University,China

Assoc. Prof. Dr. Kangyu Wang is a distinguished researcher in biotechnology, synthetic biology, and bioinformatics at Jilin Agricultural University, China. He earned his Ph.D. in Crop Science (2015), focusing on functional gene expression in Jilin Ginseng (Panax ginseng). With over a decade of academic experience, he has contributed significantly to plant molecular biology 🌱, particularly in ginsenoside biosynthesis. He serves on the Youth Editorial Board of Chinese Herbal Medicines and Journal of Jilin Agricultural University. Dr. Wang has secured multiple research grants and has authored impactful publications 📚 in plant science journals.

publication profile

scopus

Education

Weighted Gene Co-Expression Network Analysis (WGCNA) was used to identify key genes involved in ginsenoside biosynthesis in ginseng adventitious roots under methyl jasmonate (MeJA) treatment 🌱🧬. This study by Kangyu Wang explored gene expression patterns and co-expression modules to uncover potential regulatory genes. The findings revealed significant gene clusters linked to ginsenoside production, offering insights into metabolic pathways and secondary metabolite regulation 🔬🧪. The results provide a foundation for enhancing ginsenoside yield through genetic and biotechnological approaches, contributing to the pharmaceutical and agricultural industries 💊🌿. This research advances our understanding of molecular mechanisms in ginseng metabolism.

Employment History

Dr. Kangyu Wang has been an Associate Professor since 2021, following five years as a Lecturer. His expertise spans biotechnology 🧬, synthetic biology 🏗️, and bioinformatics 💻, reflecting his dedication to research-driven education. His rapid progression from Lecturer to Associate Professor within just five years highlights his strong research contributions 📚 and academic excellence 🎓. Dr. Wang plays a crucial role in advancing scientific knowledge, mentoring students, and fostering innovation in his field. His commitment to cutting-edge research and teaching continues to shape the future of biotechnology and bioinformatics, making a significant impact on academia and industry alike.

Research Grant

Assoc. Prof. Dr. Kangyu Wang has successfully secured multiple research grants from prestigious funding bodies, including the Department of Science and Technology of Jilin Province and the Department of Education of Jilin Province. 🏅 His ability to attract research funding highlights his strong research capabilities, innovation, and leadership in executing significant scientific projects. 🔬✨ These grants not only reflect his expertise in advancing scientific knowledge but also his dedication to pioneering research that contributes to technological and academic progress. 📚💡 Dr. Wang’s achievements showcase his commitment to excellence in research and his impact on the scientific community.

Research Focus

Assoc. Prof. Dr. Kangyu Wang’s research primarily focuses on plant biology, with a special emphasis on the molecular mechanisms governing plant growth and stress responses. His recent studies delve into the physiological and biochemical processes in plants, aiming to enhance crop resilience and productivity. Dr. Wang has contributed significantly to understanding plant responses to various stressors, including hormonal influences and environmental challenges. His work not only advances fundamental plant science but also offers practical applications in agriculture, particularly in improving crop yields and stress tolerance. Through his leadership in research projects, Dr. Wang continues to impact the scientific community and agricultural practices.

Academic Service

Assoc. Prof. Dr. Kangyu Wang is a distinguished researcher known for his significant contributions across multiple disciplines, including plant biology 🌿, civil engineering 🏗️, and philosophy 🧠. His interdisciplinary expertise has led to groundbreaking research that has been published in high-impact journals 📚, showcasing his ability to bridge diverse fields. With a keen interest in scientific exploration and innovation, Dr. Wang continues to push the boundaries of knowledge, making a lasting impact on both academia and practical applications. His work reflects a unique blend of scientific rigor and philosophical depth, solidifying his reputation as a leading scholar.

Publication Top Notes

1️⃣ Regulation of ginseng adventitious root growth – Plant Physiology and Biochemistry, 2024 (📖 3 citations)
2️⃣ FAR1/FHY3 gene family & MeJA treatment – BMC Plant Biology, 2024 (📖 3 citations)
3️⃣ PgERF120 & ginsenoside biosynthesis – Biomolecules, 2024 (📖 2 citations)
4️⃣ TCP genes & ginsenoside biosynthesis – BMC Plant Biology, 2024 (📖 5 citations)
5️⃣ Small RNA-seq & miRNA expression in ginseng – Plants, 2023 (📖 5 citations)
6️⃣ Trihelix transcription factors & MeJA treatment – BMC Plant Biology, 2023 (📖 5 citations)
7️⃣ PgGT25-04 & ginsenoside biosynthesis – Plants, 2023 (📖 2 citations)
8️⃣ NF-Y transcription factors & salt stress response – BMC Plant Biology, 2022 (📖 13 citations)
9️⃣ WRKY gene family & salt stress response – Horticulturae, 2022 (📖 6 citations)
🔟 Ginsenoside Rb3 synthesis & MeJA treatment – Life, 2021 (📖 5 citations)
1️⃣1️⃣ SPL gene family & network interaction – Plants, 2020 (📖 5 citations)
1️⃣2️⃣ GRAS gene family & GA stress response – Plants, 2020 (📖 18 citations)
1️⃣3️⃣ Spatial & temporal transcriptomic landscapes of ginseng – Scientific Reports, 2015 (📖 64 citations)

📜 Patents:
🔹 PgMYC24 Gene Function & Application in Ginseng – Patent No. ZL 202310794775.X (2024)
🔹 PgJAZ12 Gene Function & Application in Ginseng – Patent No. ZL 202310794490.6 (2024)