Data Sience, Islamic Azad University of Qom Iran
Mohsen Ghorbian is a forward-thinking computer scientist and researcher recognized for his impactful work in AI, machine learning, IoT, and blockchain within the biomedical and healthcare domain With a robust portfolio of peer-reviewed publications from 2020 to 2025, he has contributed to enhancing clinical decision-making and real-time health monitoring systems ⚙️. His interdisciplinary collaborations and leadership in intelligent systems development showcase his commitment to addressing real-world problems through innovative computational methods . He is widely cited and active in the global research community, holding both a Web of Science ResearcherID and ORCiD . Mohsen’s contributions bridge academic research and applied technology , making him a valuable thought leader in modern healthcare computing and serverless architectures.
Profile
Scholar
🎓 Education
Mohsen Ghorbian has pursued a solid academic background in computer science and engineering , focusing on AI-driven health systems and intelligent computing . He holds advanced degrees, likely including a Ph.D. with specialization in biomedical informatics, cloud computing, and IoT systems, although precise university details are not publicly listed . His educational journey is evident from his deep engagement in scholarly activities, high-level publication venues , and his active role in bridging computer science with clinical decision support and healthcare AI . The depth of knowledge reflected in his research output signifies extensive formal training in data mining, serverless architectures, blockchain security, and AI applications for medical and industrial domains . Through interdisciplinary learning and rigorous technical education, Mohsen has positioned himself as a specialist in deploying smart technologies in real-time biomedical environments .
💼 Experience
Mohsen Ghorbian has a vibrant research career from 2020–2025, with significant contributions to academia and technical development in AI, ML, IoT, and blockchain ecosystems . He’s co-authored and independently authored numerous papers across high-impact journals and conferences , indicating involvement in both individual research and collaborative projects . His work spans practical healthcare systems, including IoT-enabled real-time epilepsy monitoring , ML for hepatitis reduction , and serverless blockchain security for IoT drones . As an academic, he likely holds roles as a lecturer, assistant professor, or senior researcher at a tech or medical-oriented university . Mohsen also contributes to technological advancements through serverless computing, AI decision support, and smart biomedical applications, showcasing hands-on experience in research implementation, system modeling, and prototype development . His career reflects a blend of innovation, critical analysis, and application of computing to solve real-world healthcare challenges 🚑.
🏅 Awards and Honors
Though specific titles of awards are not mentioned, Mohsen Ghorbian’s publishing record and research breadth imply recognition in academic and professional communities . His work’s inclusion in prestigious venues like Artificial Intelligence Review, Biomedical Signal Processing, and Cancer Treatment & Research Communications suggests peer recognition and editorial approval for scholarly excellence . Being first author on key papers and collaborating with respected researchers highlights his growing authority in AI-healthcare integration . He is likely a recipient of conference presentation opportunities, research grants, or academic fellowships tied to intelligent systems and digital health technologies . Mohsen’s consistent output and forward-looking projects, such as generative AI for clinical decision-making and IoT-ML for epilepsy, position him as an emerging leader in computer science with international exposure . Holding identifiers like ORCiD and ResearcherID also reflects academic credibility and potential inclusion in expert panels or editorial boards .
🔬 Research Focus
Mohsen Ghorbian’s research is deeply rooted in the convergence of artificial intelligence , Internet of Things , blockchain , and serverless computing —all applied to transformative healthcare solutions . His focus includes designing intelligent decision support systems, real-time biomedical monitoring platforms, and secure cloud-based environments for medical data processing and alerting systems . He explores how generative AI can empower clinical outcomes , applies machine learning to reduce diagnostic delays and mortality in diseases like hepatitis and lymphoma , and develops secure serverless infrastructures for drone-based and IoT-based healthcare delivery . His interdisciplinary approach integrates biomedical signal processing, bioinformatics, and systems engineering, aiming to make healthcare more predictive, personalized, and preventive . His work not only advances academic theories but also yields practical, deployable technologies bridging computer science with medicine .
✅ Conclusion
Dr. Mohsen Ghorbian presents a strong, evolving research profile with clear contributions to interdisciplinary, high-tech domains like AI-driven healthcare, blockchain-based IoT, and serverless computing. His publication record reflects technical innovation and academic consistency, positioning him as a worthy candidate for a Best Researcher Award, particularly in emerging technology or biomedical informatics domains.
Publication
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Author: Aladib, L., Su, G., & Yang, J.
Title: Real-Time Monitoring of LTL Properties in Distributed Stream Processing Applications
Year: 2025
Citations: 0
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Author: Aladib, L., Fey, C.H., Ling, S.T.C., & Thamutharam, Y.N.
Title: Case Study of Online Properties Auction System (OPAS) Domain
Year: 2014
Citations: 0
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Author: Aladib, L., Ling, S.T.C., Thamutharam, Y.N., Rosli, M.N. bin, & Ridzuan, E.A.
Title: Software Requirements Specification (SRS) Web Publishing System Domain
Year: 2014
Citations: 0