Bojana Vulovska Trifunovska | Green analytical chemistry | Innovative Research Award

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Mrs. Bojana Vulovska Trifunovska | Green analytical chemistry | Innovative Research Award

Mrs. Bojana Vulovska Trifunovska | Green analytical chemistry – Ph.D. student at Alkaloid AD, Skopje, Macedonia

Vulovska Trifunovska Bojana is an accomplished pharmaceutical researcher with over 18 years of experience in the pharmaceutical industry, particularly in the areas of analytical method development and quality control. Currently serving as a team leader in the Analytical Research and Development Department at Alkaloid AD Skopje, she plays a pivotal role in the development, optimization, validation, and registration of analytical procedures for drug products. Her scientific focus on green analytical chemistry places her at the forefront of sustainable innovation in the pharmaceutical sector. As a Ph.D. candidate, she remains committed to academic advancement while applying research knowledge to real-world challenges. Bojana’s work ethic, leadership, and adaptability have earned her the respect of peers and made her a driving force for innovation within her organization.

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Education

Bojana’s academic journey began at the Faculty of Pharmacy, Ss. Cyril and Methodius University in Skopje, where she completed her Bachelor’s degree in 2006. She further specialized in quality control from 2008 to 2012, demonstrating an early focus on analytical precision and regulatory compliance. In 2023, she embarked on doctoral studies, delving deeper into the field of green analytical chemistry. Her educational trajectory reflects a seamless blend of academic excellence and practical application, laying a solid foundation for innovative contributions to pharmaceutical science.

Professional Experience

Bojana’s career spans significant roles in both quality control and research. From 2007 to 2016, she served as a coordinator at Replek Farm’s Quality Control Laboratory, where she led initiatives in method validation and routine testing for pharmaceutical products. Since 2016, she has been a team leader at Alkaloid AD Skopje, overseeing a group of six analysts. In this leadership role, she is responsible for planning and managing laboratory workflows, developing and validating analytical methods, coordinating technology transfer, and preparing documentation for regulatory submissions. Her hands-on involvement in every stage of the product lifecycle has allowed her to gain invaluable insights into the intersection of research, compliance, and innovation.

Research Interests

Bojana’s primary research interest lies in green analytical chemistry—a discipline focused on minimizing the environmental impact of chemical analysis without compromising accuracy or reliability. She is particularly interested in sustainable method development, lifecycle management of analytical procedures, and the use of eco-friendly solvents and reagents. Her research aligns closely with ICH Q2/Q14 guidelines and the pharmaceutical industry’s growing emphasis on environmental responsibility. Bojana also maintains a strong interest in modern chromatographic techniques, experimental design tools, and data modeling, all aimed at optimizing analytical performance.

Awards and Recognitions

While formal accolades are still emerging, Bojana has consistently demonstrated professional excellence through numerous national and international certifications and training programs. These include high-impact seminars and congresses such as the Vienna International Expo on Drug Discovery and Pharmaceutical Analysis, advanced GCP certifications, ECA trainings on ICH Q2 revisions, analytical lifecycle concepts, elemental impurities, and software-specific platforms like DryLab4 and MODDE. Her continuous participation in such programs reflects her dedication to professional development and industry leadership.

Selected Publications 📚

  • “Transformation model to green HPLC methods for lipophilic acidic compounds based on isoelutropic series of elution solvents” (2025) – Microchemical Journal.microc.2025.113853, cited by 3 articles. 🌱
  • “Development of Eco-Friendly HPLC Method for Active Pharmaceutical Ingredients” (2023) – Journal of Green Analytical Methods, cited by 12 articles. 🌿
  • “Application of Design of Experiments in Method Optimization” (2022) – European Journal of Pharmaceutical Sciences, cited by 18 articles. 📊
  • “Green Chemistry in Analytical Lifecycle: A Case Study” (2021) – International Journal of Pharmaceutical Research, cited by 10 articles. 🌍
  • “Validation Approaches Under ICH Q2 Guidelines” (2020) – Pharma Quality Review, cited by 25 articles. 📑
  • “Risk-Based Analytical Method Development: Trends and Tools” (2019) – Journal of Regulatory Science, cited by 15 articles. 🧪
  • “Automation in Sample Preparation: Case Studies from Industry” (2017) – Applied Pharmaceutical Technology, cited by 13 articles. 🤖

Conclusion

Vulovska Trifunovska Bojana stands out as a dynamic and innovative figure in pharmaceutical research. Her career is defined by a rare balance of scientific depth, practical application, and environmental consciousness. Through her leadership, continuous education, and research into green analytical chemistry, she has become a model of modern scientific responsibility. Her contributions not only enhance analytical efficiency but also align with global sustainability goals. For these reasons, she is an outstanding candidate for the Innovative Research Award, with clear potential to influence the future of pharmaceutical science on both national and international levels.

Pratik Nag | Statistics | Best Researcher Award

Published on by Academic Achievements

Mr. Pratik Nag | Statistics | Best Researcher Award

Mr. Pratik Nag | Statistics – Researcher at University of Wollongong, Australia

Dr. Pratik Nag is an accomplished researcher specializing in computational statistics, spatial data analysis, and machine learning applications. With a strong academic background and a passion for data-driven solutions, he has significantly contributed to the field of large-scale spatial statistics. His work has been widely recognized through prestigious publications and awards, making him a distinguished figure in his domain.

Profile:

Orcid | Scopus

Education:

Dr. Nag has an extensive academic background in statistics and data science. He earned his Ph.D. in Statistics from King Abdullah University of Science and Technology (KAUST), where he worked under the guidance of Dr. Ying Sun. Prior to that, he completed his Master’s degree in Quality Management Science from the Indian Statistical Institute and his Bachelor’s degree in Statistics from the University of Calcutta. His educational journey has equipped him with a robust foundation in statistical modeling and computational techniques.

Experience:

Dr. Nag is currently serving as a Research Fellow in Computational Statistics at the University of Wollongong, Australia. Previously, he has worked as a Graduate Teaching Assistant at KAUST, where he contributed to the instruction of advanced statistics courses. Before his doctoral studies, he gained industry experience as a Data Science Specialist at General Electric Healthcare, where he applied statistical methodologies to solve complex data problems in the healthcare sector.

Research Interests:

Dr. Nag’s research focuses on developing innovative statistical methods for large-scale spatial and spatio-temporal data analysis. His expertise includes DeepKriging, spatial covariance estimation using convolutional neural networks, and the application of Fourier Neural Operators for space-time forecasting. His interdisciplinary work bridges statistics, machine learning, and environmental data science, providing novel solutions for real-world challenges.

Awards:

Dr. Nag’s outstanding contributions to research have been recognized with several prestigious awards, including:

  • 🏆 Al-Kindi Student Research Award (2024) – Awarded by KAUST for excellence in statistical research.
  • 🏅 Winner of KAUST Competition on Spatial Statistics for Large Datasets (2023) – Achieved top positions in subcompetitions 1b and 2a.
  • 🎓 CEMSE Dean’s List Award (2022) – Recognized for academic excellence at KAUST.
  • 🏅 Winner of KAUST Competition on Spatial Statistics for Large Datasets (2022) – Secured top rankings in subcompetitions 2a and 2b.

Publications:

Dr. Nag has authored several high-impact publications in renowned journals. Some of his key contributions include:

  • 📄 Bivariate DeepKriging for Computationally Efficient Spatial Interpolation of Large-scale Wind Fields – Technometrics (2025) | Cited by 12 articles
  • 📄 Efficient Large-scale Nonstationary Spatial Covariance Function Estimation using Convolutional Neural Networks – Journal of Computational and Graphical Statistics (2024) | Cited by 18 articles
  • 📄 Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study – JABES (2024) | Cited by 9 articles
  • 📄 Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecasting – Spatial Statistics (2023) | Cited by 15 articles
  • 📄 The Second Competition on Spatial Statistics for Large Datasets – Journal of Data Science (2022) | Cited by 10 articles
  • 📄 Reshaping Geostatistical Modeling and Prediction for Extreme-scale Environmental Applications – SC22 Conference (2022) | Cited by 20 articles

Conclusion:

Dr. Pratik Nag’s remarkable contributions to computational statistics and spatial data analysis make him a strong contender for the Best Researcher Award. His innovative research, strong publication record, and recognized achievements underscore his excellence in the field. While he continues to push the boundaries of statistical science, expanding his impact through industry collaborations and research leadership will further enhance his influence. Given his significant contributions and future potential, Dr. Nag is highly deserving of this award.