Jun-Jun Yeh | Data Analysis | Best Researcher Award

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Prof. Dr. Jun-Jun Yeh | Data Analysis | Best Researcher Award

Prof. Dr. Jun-Jun Yeh, professor, ditmanson medical fondation, Taiwan.

Dr. Jun-Jun Yeh is a renowned Taiwanese physician and researcher with over 25 years of experience in pulmonary medicine and family medicine. He has held significant roles at China Medical University, Chung Gang Memorial Hospital, Pingtung Christian Hospital, and National Taiwan University Hospital. Currently, he is the Chief of Family Medicine and Attending Chest Physician at Ditmanson Medical Foundation Chia-Yi Christian Hospital and Professor at Chia Nan University of Pharmacy and Science. Widely recognized for his contributions, he has been featured in multiple editions of Marquis Who’s Who and holds leading positions in international medical societies.

Publication Profile

Scopus

ORCID

Google Scholar

🎓 Education Background

Dr. Yeh holds a Master’s degree in both pulmonary medicine and family medicine. His academic journey reflects a strong foundation in medical science and clinical practice, enabling him to specialize in respiratory conditions and chronic diseases. He has supplemented his formal education with continuous affiliations to leading organizations such as the American Thoracic Society and European Respiratory Society to stay updated with advancements in medicine. His dual-specialization has positioned him at the intersection of research and real-world healthcare application, allowing him to contribute substantially to both patient care and academic literature.

🏥 Professional Experience

Dr. Yeh began his medical career at China Medical University in Taichung, Taiwan, where he served for nearly 15 years. His professional trajectory then took him through appointments at Chung Gang Memorial Hospital, Pingtung Christian Hospital, and the prestigious National Taiwan University Hospital. Currently, he serves as Chief of Family Medicine and Chest Physician at Chia-Yi Christian Hospital and as a Professor at Chia Nan University. In addition to clinical responsibilities, he is an active peer reviewer and editorial chair for numerous international journals, significantly shaping the landscape of pulmonary and thoracic medicine.

🏆 Awards and Honors

Dr. Yeh has received numerous accolades over his career, including repeated listings in Who’s Who in the World and Who’s Who in Science and Engineering. He was honored with first place by the Korean Society of Thoracic Radiology from 2010 to 2012. His research has been cited in international guidelines, including those from the American College of Radiology. He is also ranked among the top global experts in pulmonary medicine according to Expertscape (2000–2018), reflecting his exceptional influence and contribution in areas such as thoracic imaging, pulmonary infection, and chronic respiratory disease.

🔬 Research Focus

Dr. Yeh’s research focuses on pulmonary medicine, specifically thoracic imaging, pulmonary infections, chronic obstructive pulmonary disease, asthma, and their intersections with metabolic syndromes like diabetes. His interests also extend to osteoporosis and dementia in respiratory patients. He has published extensively in high-impact journals such as European Radiology, European Respiratory Journal, Scientific Reports, and Journal of Clinical Medicine. His studies, including large cohort analyses, have had real-world implications, influencing clinical guidelines and therapeutic strategies across global healthcare systems.

🔚 Conclusion

Dr. Jun-Jun Yeh stands out as a globally respected leader in respiratory and internal medicine. With a career spanning academic, clinical, and editorial excellence, he continues to influence the fields of pulmonary care and interdisciplinary research. His dedication to clinical service, scholarly publishing, and international collaboration showcases his role as a thought leader and innovator in medical science. Dr. Yeh’s profound impact on global health is evident through his mentorship, publications, and active participation in advancing the field of cardio-metabolic-pulmonary medicine.

📚 Publications 

  1. Long-Term Impact of COVID-19 on Osteoporosis Risk Among Patients Aged ≥50 Years with New-Onset Overweight, Obesity, or Type 2 Diabetes
    Year: 2025 |  Medicina |  Cited by: –

  2. Relationship between GLP-1 Receptor Agonists and Cardiovascular Disease in Chronic Respiratory Disease and Diabetes
    Year: 2024 |  Biomedicines |  Cited by: 10+ articles

  3. Hydroxychloroquine on the Pulmonary Vascular Diseases in Interstitial Lung Disease: Immunologic Effects, and Virus Interplay
    Year: 2022 | Biomedicines |  Cited by: 25+ articles

  4. Time-dependent propensity-matched general population study of the effects of statin use on cancer risk
    Year: 2021 |  BMJ Open |  Cited by: 30+ articles

  5. Effects of statins and steroids on coronary artery disease and stroke in patients with ILD
    Year: 2021 |  PLOS ONE |  Cited by: 35+ articles

  6. Time to commence or time out for colchicine in secondary prevention of cardiovascular disease?
    Year: 2021 |  European Heart Journal |  Cited by: 100+ articles

  7. Predictors of Initial Smear-Negative Active Pulmonary Tuberculosis…
    Year: 2019 | Scientific Reports |  Cited by: 45+ articles

  8. Statin for Tuberculosis and Pneumonia in Patients with ACOS
    Year: 2018 | Journal of Clinical Medicine |  Cited by: 60+ articles

 

Gaurav Mittal | Data Science | Digital Education Tools Award

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Mr. Gaurav Mittal | Data Science | Digital Education Tools Award

Mr. Gaurav Mittal – Manager IT, Thermo fisher Scientific, United States.

Gaurav Mittal is a highly accomplished IT Manager with over 18 years of professional experience driving innovative solutions across diverse industries such as biopharmaceuticals, insurance, fraud detection, and healthcare. Renowned for his strategic vision and technical leadership, Gaurav specializes in data science, AI/ML, cloud platforms, and automation. He currently serves as Manager IT – Data Science at Thermo Fisher Scientific, where he leads the development of high-impact technologies including secure AI agents and ML frameworks. Gaurav is known for his hands-on approach to problem-solving, mentoring, and fostering cross-functional collaboration, consistently aligning technological innovation with business objectives.

Publication Profile

Google Scholar

🎓 Education Background

Gaurav Mittal holds a B.Tech degree in Electronics and Communication (2003–2007), laying the foundation for his career in software engineering and IT innovation. Further advancing his leadership and managerial skills, he earned an MBA in Information and Technology from 2017 to 2019. He is also a Sun Certified Java Programmer and has acquired professional certifications including AWS Cloud Practitioner and Lean Six Sigma Green and Yellow Belts. Gaurav’s educational journey reflects a strong combination of technical expertise and strategic acumen, enabling him to lead and influence in dynamic, fast-paced environments.

💼 Professional Experience

With a career spanning nearly two decades, Gaurav Mittal has held progressive roles in reputed organizations such as Thermo Fisher Scientific, Asurion, Dell Services, Zensar, and Mphasis. As a Manager at Thermo Fisher Scientific since 2022, he spearheads data science and automation initiatives, saving thousands in costs through AI-driven tools and ML model deployment. His past roles include developing intelligent automation scripts, containerized deployments, and predictive utilities using Python, AWS, and TensorFlow. Gaurav has consistently driven value through innovations in security, DevOps, QA automation, and cloud architecture, setting industry benchmarks for IT delivery excellence.

🏆 Awards and Honors

Gaurav Mittal’s contributions have been widely recognized within his organizations. He received the Golden Lever Award – Teams Category for his pivotal role in the “Tosca Validation” project at Thermo Fisher Scientific in Q1 2023. He was also a Finalist for the Golden Lever Award – Individual Category for his development of an “AWS IAM Keys Rotation Utility” the same quarter. These accolades underscore his expertise in regulatory compliance, secure automation, and cross-functional team leadership. His commitment to innovation and quality in IT service delivery continues to earn him accolades across his professional journey.

🔬 Research Focus

Gaurav Mittal’s research and development efforts focus on the intersection of data science, machine learning, and cybersecurity. He has designed and deployed advanced ML models for applications such as email classification using Named Entity Recognition (NER), SQL optimization, and security utilities that align with industry GxP compliance. His work emphasizes “Shift-Left Testing,” white-box techniques, and defect prediction to drive cost-effective quality assurance. Gaurav’s innovations bridge theoretical AI research with real-world implementation in enterprise IT systems, making him a thought leader in deploying AI solutions within secure, large-scale environments.

📌 Conclusion

Gaurav Mittal exemplifies technical leadership, innovation, and cross-domain expertise. From automating QA processes to pioneering ML model deployments and ensuring regulatory compliance, his career reflects a blend of deep technical proficiency and strategic IT vision. With numerous awards, published articles, and a track record of driving measurable outcomes, Gaurav stands as a dynamic professional continually pushing the boundaries of data science and enterprise technology. His role in transforming business operations through smart automation and secure digital frameworks marks him as a leader and visionary in the modern IT landscape.

📚 Publication Highlights

  1. Implementing Email Attachment Security
    Published Year: 2023 | Journal: Secure Systems Review

  2. Time-Cost Effective ML Model Deployment Using AWS Lambda
    Published Year: 2023 | Journal: Cloud AI Innovations

  3. Cracking the Code: Why White-Box Testing is the Key to Better Bug Hunting
    Published Year: 2023 | Journal: Software Test Engineering Journal

  4. Shift-Left Testing Benefits: Reduce Costs and Boost Collaboration
    Published Year: 2022 | Journal: Agile QA Digest

  5. Digital Arrest Scams: Understanding the Rise in Cyber Fraud
    Published Year: 2024 | Journal: Cybersecurity Watch

  6. Unpacking Shift-Left Testing Benefits: Key to Reducing Costs and Boosting Collaboration
    Published Year: 2023 | Journal: DevOps Insights Monthly

  7. Unlocking the Code for Defect Analysis: Moving from Black-Box Testing to White-Box Testing
    Published Year: 2024 | Journal: Software Quality Review

 

Md. Emran Biswas | Data science | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Md. Emran Biswas | Data science | Best Researcher Award

Research Assistant, Hajee Mohammad Danesh Science and Technology University, Bangladesh

🌟 Md. Emran Biswas, hailing from Dinajpur, Bangladesh, is a passionate researcher and technologist specializing in machine learning, optimization algorithms, and their societal applications. He has actively contributed to predictive analysis, bioinformatics-based drug discovery, and developing AI solutions for global good. As a skilled programmer and researcher, Emran’s work has earned recognition through multiple publications, accolades, and groundbreaking projects in his field.

Publication Profile

Scopus

Education

🎓 Md. Emran Biswas completed his B.Sc. in Electronics and Communication Engineering at Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh, from March 2019 to November 2024, with an impressive CGPA of 3.412/4.00. His academic journey is marked by a focus on deep learning, predictive modeling, and optimization algorithms.

Experience

💼 Emran served as a Research Assistant at Petarhub and DIOT Lab, HSTU, contributing to machine learning, predictive modeling, and optimization projects. His notable achievements include developing the ApexBoost Regression model, managing large datasets, and publishing impactful research in reputed journals like IEEE and Electronics.

Research Interests

🔍 Emran’s research focuses on machine learning, optimization algorithms, and their transformative applications in areas like bioinformatics-based drug discovery, predictive analysis, and societal challenges. His work aligns with the vision of ‘AI for Good,’ driving impactful innovation.

Awards

🏆 Emran has earned recognition for his innovative projects, including First Runner-Up at the Project Exhibition 2022 for his “Face Detection-Based Attendance System” and Second Runner-Up in 2023 for his “AI-Based Health Checking System.” These awards reflect his technical expertise and creative problem-solving skills.

Publications

Machine Learning Approach to Estimate Requirements for Target Productivity of Garments Employees. IEEE ICEEICT 2024 (Cited by: 5)

An Effective Data-Driven Approach to Predict Bike Rental Demand. Google Scholar (Cited by: 12)

Spatio-Temporal Feature Engineering and Selection-Based Flight Arrival Delay Prediction Using Deep Feedforward Regression Network. Electronics, 13(24), p.4910 (Cited by: 9)