Amir Lakizadeh | Bioinformatics | Best Researcher Award

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. πŸš€πŸ“Š

Profile

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Google Scholar

Orcid

πŸŽ“ 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. πŸŽ“πŸ“š

πŸ’Ό 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. πŸ›οΈπŸ§‘β€πŸ«

πŸ”¬ 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. πŸ’‘πŸ§ πŸ’Š

πŸ… 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. πŸ†πŸ“˜

πŸ“š 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.

πŸ† Conclusion

Dr. Amir Lakizadeh demonstrates all the hallmark qualities of a Best Researcher Award recipientβ€”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.

Jwee Chiek Er | Biology and Life Sciences | Pioneer Researcher Award

Jwee Chiek Er | Biology and Life Sciences | Pioneer Researcher Award

Researcher, Norwegian Veterinary Institution, Norway

Dr. Jwee Chiek Er is a distinguished veterinary epidemiologist and researcher dedicated to advancing animal health. πŸ–πŸ“ˆ Since 2007, he has worked full-time at the Norwegian Veterinary Institute, focusing on epidemiology and bioinformatics. πŸ‡³πŸ‡΄πŸ”¬ He also serves part-time as a church servant at Uranienborg Menighet since 2020. β›ͺ Previously, Dr. Er contributed significantly to veterinary inspection in Singapore’s pig and poultry slaughterhouses (1991–2006) and served as a Captain in the Singapore Armed Forces (1989–1991). πŸ›‘οΈπŸ₯ With a Ph.D. from the University of Life Sciences, Norway, an MPVM from UC Davis, and a BVSc from the University of Queensland, Dr. Er’s career blends scientific excellence with public service. πŸŽ“πŸŒ His pioneering research on influenza A(H1N1)pdm09 virus infection in pigs has had lasting impacts on veterinary public health. πŸ¦ πŸ“– A committed scholar with 14 peer-reviewed publications, Dr. Er exemplifies the qualities honored by the Pioneer Researcher Award. πŸ†βœ¨

PublicationΒ  Profile

Orcid

EducationΒ 

Dr. Jwee Chiek Er holds a rich academic background dedicated to veterinary science and epidemiology. πŸŽ“πŸΎ He earned his Ph.D. in 2006 from the University of Life Sciences, Oslo, Norway, presenting a landmark thesis on epidemiological studies of influenza A(H1N1)pdm09 virus infections in Norwegian pigs. πŸ‡³πŸ‡΄πŸ“š He pursued his Master’s in Preventive Veterinary Medicine (MPVM) at the prestigious University of California, Davis, USA, graduating in 2000 with a focus on Veterinary Epidemiology. πŸ‡ΊπŸ‡ΈπŸ“Š Dr. Er began his academic journey with a Bachelor of Veterinary Science (BVSc) from the University of Queensland, Australia, in 1989, grounding him firmly in veterinary practice. πŸ‡¦πŸ‡ΊπŸ©Ί His education reflects a lifelong commitment to enhancing animal health and advancing veterinary epidemiology through global learning experiences, interdisciplinary knowledge, and applied research, making him a fitting nominee for the Pioneer Researcher Award. πŸ…πŸŒŸ

ExperienceΒ 

Dr. Jwee Chiek Er’s professional journey reflects outstanding dedication across diverse fields. 🌟 From 2007 onwards, he has been a full-time researcher at the Norwegian Veterinary Institute, specializing in epidemiology and bioinformatics. πŸ·πŸ“Š In 2020, he also took on part-time service as a church servant at Uranienborg Menighet, den norsk luthersk kirke. β›ͺ Before his research career, Dr. Er served in Singapore’s civil service (1991–2006), ensuring veterinary inspection and public health in pig and poultry slaughterhouses. πŸ”πŸ” He started his career in national service, where he rose to the rank of Captain in the Singapore Armed Forces as a logistics officer (1989–1991). πŸŽ–οΈπŸš› These extensive experiences demonstrate his leadership, scientific expertise, and commitment to public welfare. His professional background embodies the spirit of perseverance and innovation celebrated by the Pioneer Researcher Award. πŸ…πŸ“ˆ

Awards and HonorsΒ 

Dr. Jwee Chiek Er’s career is a testament to persistent excellence and leadership. 🌟 Although specific award listings were not detailed, his achievements themselves reflect high recognition in the veterinary science community. πŸΎπŸ“ˆ His Ph.D. thesis and impactful peer-reviewed publications have significantly advanced knowledge of influenza epidemiology in pig populations, demonstrating award-worthy innovation. πŸ¦ πŸ”¬ His pioneering surveillance work on influenza A(H1N1)pdm09 infections in Norway greatly contributed to national animal health strategies. πŸ‡³πŸ‡΄πŸ– Furthermore, Dr. Er’s role in public veterinary service in Singapore and his distinguished service in the Singapore Armed Forces earned him respect and authority early in his career. πŸŽ–οΈπŸŒ Nomination for the Pioneer Researcher Award is a fitting tribute to his lifelong dedication to animal health, epidemiological innovation, and scientific leadership. πŸ…πŸ“š His work bridges practice and research, influencing veterinary policies across nations. 🌐✨

Research FocusΒ 

Dr. Jwee Chiek Er’s research centers on the epidemiology of infectious diseases in animal populations, with a strong focus on influenza A(H1N1)pdm09 virus in pigs. πŸ–πŸ¦  His studies analyze infection patterns, serosurveillance, and economic impacts on animal health, providing essential insights for disease control and public health policy. πŸ“ŠπŸ›‘οΈ Using bioinformatics and mathematical modeling, such as discrete-time Markov Chain modeling, he projects disease prevalence and evaluates herd-level interventions. πŸ“ˆπŸ–₯️ His research also explores serological cross-reactivity between influenza strains, crucial for improving diagnostic and surveillance systems. πŸ§¬πŸ” Through longitudinal studies at boar testing stations and comprehensive serological surveys, Dr. Er has significantly advanced understanding of viral behavior in livestock. πŸ“‘πŸ“ˆ His interdisciplinary approach integrating epidemiology, economics, and computational tools highlights him as a pioneer in veterinary research. πŸ†πŸ”¬ His work supports healthier livestock systems and contributes to global food security. πŸŒπŸ–

Publications Top Notes

  • πŸ“„ “Adverse Effects of Influenza A(H1N1)Pdm09 Virus Infection on Growth Performance of Norwegian Pigs – a Longitudinal Study at a Boar Testing Station” (BMC Vet Res, 2014)

  • πŸ“„ “Occurrence and Spread of Influenza A(H1N1)Pdm09 Virus Infection in Norwegian Pig Herds Based on Active Serosurveillance from 2010 to 2014” (Epidemiol Infect, 2016)

  • πŸ“„ “Production Impact of Influenza A(H1N1)Pdm09 Virus Infection on Fattening Pigs in Norway” (J Anim Sci, 2016)

  • πŸ“„ “Longitudinal Projection of Herd Prevalence of Influenza A(H1N1)Pdm09 Virus Infection in the Norwegian Pig Population by Discrete-Time Markov Chain Modelling” (Infectious Disease Reports, 2021)

  • πŸ“„ “Antibodies of Influenza A(H1N1)Pdm09 Virus in Pigs’ Sera Cross-React with Other Influenza A Virus Subtypes: A Retrospective Epidemiological Interpretation of Norway’s Serosurveillance Data from 2009–2017” (Epidemiology and Infection, 2020)

  • πŸ“„ “A Survey of Skin Neoplasms in Dogs from the Brisbane Region” (Aust Vet J, 1989)