Aneta Guzek | Bloodstream Infections | Best Researcher Award

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Dr. Aneta Guzek | Bloodstream Infections | Best Researcher Award

Head of Microbial Laboratory | National Research Institute | Poland

Dr. Aneta Guzek is the Head of the Microbiology Laboratory at the Military Institute of Medicine – National Research Institute in Warsaw, Poland, specializing in medical microbiology and laboratory diagnostics. She holds a PhD in medicine with a specialization in medical microbiology from the Military Institute of Medicine, complemented by postgraduate qualifications in medical microbiology from the Medical University of Lublin and innovation management in the health care sector from Kozminski University. Additionally, she earned an MSc in biology with a focus on microbiology from the University of Warsaw and is a certified laboratory diagnostician. Dr. Guzek leads a multidisciplinary team overseeing comprehensive microbiological diagnostics, implementation of advanced diagnostic methods, and the development of institutional policies on infection control and antibiotic stewardship. Her research contributions include studies on antimicrobial resistance, hospital infection control, and the advancement of microbiological procedures, with numerous publications and citations in recognized scientific sources. She collaborates with national and reference laboratories, contributing to public health and medical innovation. Her exemplary service has been recognized with prestigious honors, including the first place in the Hippocrates Medical Poll for Laboratory Diagnostician of the Year and the Badge of Honour from the Military Medical Institute for her efforts during the COVID-19 pandemic. Dr. Guzek also holds certification in Good Clinical Practice (ICH E6 R2), underscoring her commitment to excellence in research and clinical integrity.

Profiles: Scopus | ORCID

Featured Publications

1. Guzek, A., et al. (2025). Microbiological comparison of maxillary sinus rinses in non-odontogenic and odontogenic sinusitis of primarily endodontic origin. Journal of Clinical Medicine.

2. Guzek, A., et al. (2024). Outcomes of 23 patients diagnosed with New Delhi metallo-beta-lactamase (NDM)-producing Klebsiella pneumoniae infection treated with ceftazidime/avibactam and aztreonam at a single center in Poland. Journal of Clinical Medicine.

3. Guzek, A., et al. (2024). Dissemination of extensively drug-resistant NDM-producing Providencia stuartii in Europe linked to patients transferred from Ukraine, March 2022 to March 2023. Eurosurveillance.

Md Nagib Mahfuz Sunny | Health Informatics | Young Scientist Award

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Mr. Md Nagib Mahfuz Sunny | Health Informatics | Young Scientist Award

Healthcare Data Analyst & Researcher at Children’s Clinic of Michigan, United States

Md Nagib Mahfuz Sunny is an emerging researcher and healthcare data analyst with a strong focus on applying big data analytics, machine learning, and predictive modeling to address critical challenges in the healthcare sector. His academic background in computer science and information science, combined with his practical experience, has enabled him to contribute meaningfully to areas such as clinical decision support, disease diagnosis, fraud detection, and telemedicine. Sunny has authored numerous peer-reviewed publications in respected journals, showcasing his ability to bridge technology and healthcare effectively. His research emphasizes data-driven solutions aimed at improving patient outcomes and reducing healthcare costs. As an IEEE Senior Member, he demonstrates leadership and commitment to innovation in his field. With a forward-looking approach and interdisciplinary mindset, Sunny continues to explore impactful research directions that align with global health and technology trends, making him a promising figure in the realm of healthcare informatics and intelligent systems.

Professional Profile 

Google Scholar

Education

Md Nagib Mahfuz Sunny has a solid educational foundation that integrates both computer science and information science, equipping him with the technical and analytical skills necessary for advanced research in data-driven healthcare solutions. He earned his Master of Science in Information Science from Trine University in the United States, where he focused on data analytics and its applications in healthcare systems. Prior to that, he completed his Bachelor of Science in Computer Science and Technology from Jiangsu University of Science and Technology in China. His academic journey reflects a commitment to international exposure and interdisciplinary learning, which has played a critical role in shaping his understanding of global healthcare challenges and the role of advanced technology in addressing them. Sunny’s academic training has provided him with the theoretical knowledge and practical tools necessary to conduct innovative research at the intersection of artificial intelligence, machine learning, and healthcare informatics.

Experience

Md Nagib Mahfuz Sunny brings diverse and impactful experience as a healthcare data analyst and researcher, with a particular focus on the use of machine learning, predictive modeling, and big data analytics in medical contexts. His professional and academic experience spans developing intelligent systems for clinical decision-making, optimizing healthcare processes, and conducting extensive data-driven research. Sunny has worked on multidisciplinary projects involving IoT-based frameworks for disease detection, AI-powered solutions for prescription optimization, and machine learning techniques for cancer classification and fraud detection. His collaborative work with global research teams and healthcare professionals has contributed to practical innovations and published outcomes in well-regarded scientific journals. He is actively involved in designing research methodologies, data analysis pipelines, and predictive models tailored for real-world healthcare applications. His hands-on experience reflects a strong integration of technical expertise and domain-specific knowledge, positioning him to drive future innovations in health informatics and digital healthcare transformation.

Research Focus

Md Nagib Mahfuz Sunny’s research centers around the application of artificial intelligence, big data analytics, and machine learning in healthcare to enhance clinical decision-making, improve diagnostics, and reduce operational inefficiencies. His core focus areas include predictive healthcare analytics, public health informatics, AI for disease classification, fraud detection in medical systems, and IoT-based health monitoring. Through his published work, he has explored diverse topics such as diabetes diagnosis using intelligent systems, cancer stage classification based on biomarker data, and AI-enhanced drug substitution models aimed at reducing healthcare costs. He is particularly interested in integrating real-time data from healthcare environments with advanced computational models to generate actionable insights for physicians and public health professionals. Sunny’s research consistently emphasizes innovation, real-world applicability, and ethical use of data in healthcare. His contributions reflect a forward-thinking approach to solving modern medical challenges through computational intelligence and interdisciplinary collaboration.

Award and Honor

Md Nagib Mahfuz Sunny has earned recognition for his contributions to healthcare analytics and intelligent systems through multiple peer-reviewed publications and active involvement in professional communities. He holds the distinction of being an IEEE Senior Member, a title that reflects both his technical accomplishments and leadership within the engineering and technology community. His research has been published in esteemed journals and presented at international conferences, highlighting the relevance and impact of his work in the global academic landscape. The quality and applicability of his research, particularly in AI-driven healthcare solutions, have attracted attention from institutions and collaborators worldwide. His interdisciplinary and international academic journey has further contributed to his reputation as a knowledgeable and forward-thinking young scientist. As he continues to build on his work in healthcare data science, his achievements mark him as a strong candidate for future research awards and honors within the field of health informatics and artificial intelligence.

Publications Top Notes

  • Title: Optimizing Healthcare Outcomes through Data-Driven Predictive Modeling
    Authors: MNM Sunny, MBH Sakil, A Al Nahian, SW Ahmed, MN Shorif, J Atayeva
    Year: 2024
    Citations: 38

  • Title: Project Management and Visualization Techniques A Details Study
    Authors: MNM Sunny, MBH Sakil, A Al Nahian
    Year: 2024
    Citations: 23

  • Title: Neural Network-Powered License Plate Recognition System Design
    Authors: S Hasan, MNM Sunny, A Al Nahian, M Yasin
    Year: 2024
    Citations: 18

  • Title: Predictive Healthcare: An IoT-Based ANFIS Framework for Diabetes Diagnosis
    Authors: MNM Sunny, MBH Sakil, J Atayeva, ZS Munmun, MS Mollick, MO Faruq
    Year: 2024
    Citations: 4

  • Title: Telemedicine and Remote Healthcare: Bridging the Digital Divide
    Authors: MNM Sunny, U Sumaiya, MH Akter, F Kabir, ZS Munmun, B Nurani, M Amin
    Year: 2024
    Citations: 3

  • Title: Classification of Cancer Stages Using Machine Learning on Numerical Biomarker Data
    Authors: MNM Sunny, MM Amin, MH Akter, KMS Hossain, A Al Nahian, J Atayeva
    Year: 2024
    Citations: 3

  • Title: Numerical Analysis of Multivariate Data for Fraud Detection
    Authors: MNM Sunny, KMS Hossain, MM Amin, SN Sadmani
    Year: 2024
    Citations: 2

  • Title: Advance Obstacle Detection for Autonomous Vehicles Using Numerical Data from LIDAR and RADAR Sensor: A Machine Learning Approach
    Authors: R Akter, K Oyshee, MN Sunny, P Roy, F Ahammed, MF Refat
    Year: 2024
    Citations: 1

Conclusion

Md Nagib Mahfuz Sunny has established a commendable research profile with multiple impactful publications across emerging areas in healthcare analytics and machine learning. His work is gaining increasing recognition, as reflected by citation metrics, particularly in studies focusing on predictive modeling, IoT-based healthcare, and AI-powered diagnostics. The consistent authorship and interdisciplinary collaborations indicate his active engagement in advancing practical, data-driven solutions to real-world challenges. His growing citation count and contributions to reputable journals suggest a trajectory toward becoming a significant voice in the field. Overall, his research contributions are not only timely but also align well with the core values of innovation, applicability, and academic rigor—making him a deserving candidate for recognition through awards and further research opportunities.

Rima Isaifan | human health | Women Researcher Award

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Assoc. Prof. Dr. Rima Isaifan | human health | Women Researcher Award

Associate Professor, Cambridge C University, Qatar

🌿 Dr. Rima Isaifan is an Associate Professor of Environmental Sciences at Cambridge Corporate University, Lucerne, Switzerland. With a Ph.D. in Chemical and Biological Engineering from the University of Ottawa, she has made significant contributions to the fields of sustainable development and environmental protection. Her extensive research focuses on climate change, greenhouse gas emissions, and sustainable urban development, particularly in the Middle Eastern context. 🌍

Publication Profile

Scopus

Education

🎓 Dr. Isaifan earned her Ph.D. in Chemical Engineering (Chemical and Biological Engineering) from the University of Ottawa in 2014. Her academic background blends environmental and chemical sciences, making her an expert in sustainable environmental solutions.

Experience

💼 Currently an Associate Professor at Cambridge Corporate University, Switzerland, Dr. Isaifan has a wealth of teaching and research experience in environmental sciences. She has also collaborated with multiple research institutions, contributing her knowledge to various climate and sustainability initiatives in the Middle East.

Research Focus

🔬 Dr. Isaifan’s research revolves around environmental sustainability, climate change, and the social cost of greenhouse gas emissions. She has also explored urban development strategies, especially in the Middle East, focusing on sustainable transportation and urban renewal projects. Her work aims to create practical solutions to mitigate climate change. 🌱

Awards and Honors

🏅 Dr. Isaifan’s outstanding contributions to environmental research and sustainability have earned her recognition in academic and professional communities. She continues to push boundaries in environmental policy and science, especially regarding climate change action in Arab countries. 🌍

Publication Highlights

📚 Dr. Isaifan has published extensively in top-tier journals. Some of her notable works include:

Transit-Oriented Development in Middle Eastern Cities: The Urban Renewal Framework for the Souq Waqif in Doha, Qatar (2024) in Urban Science, DOI: 10.3390/urbansci8040182

Correction: Al-Jabir, M.; Isaifan, R.J. Long-Term Projection of Transport-Related Social Cost of Greenhouse Gas Emissions in Qatar (2024) in Sustainability, DOI: 10.3390/su16198422

Strategic plans to support action against climate change in the Arab countries in the Middle East Region (2024) in Journal of Sustainable Development Law and Policy, DOI: 10.4314/jsdlp.v15i1.11

Long-Term Projection of Transport-Related Social Cost of Greenhouse Gas Emissions in Qatar (2024) in Sustainability, DOI: 10.3390/su16020536