Ozgur Afsar | Analytical Chemistry | Best Researcher Award

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Assoc. Prof. Dr. Ozgur Afsar | Analytical Chemistry | Best Researcher Award 

Ege University, Turkey

Profiles

Early Academic Pursuits

Assoc. Prof. Dr. Ozgur Afsar began his academic journey at Ege University, where he pursued his Ph.D. in Physics. His early academic interests centered around complex systems and nonequilibrium thermodynamics, fields that would go on to shape his future research path. He was also affiliated with Celal Bayar University in his early years, contributing to nuclear statistical mechanics through ARDEB 3501-funded research.

Professional Endeavors

Currently serving as a faculty member at the Faculty of Science, Ege University, Dr. Afsar has also carried out prestigious postdoctoral research at the Potsdam Institute for Climate Impact Research (PIK) in Germany. His academic career is marked by a strong foundation in theoretical physics, complexity, and entropy analysis, with leadership and consultancy roles in numerous TÜBİTAK and BAP-funded national research projects.

Contributions and Research Focus

Dr. Afsar’s research delves into entropy-based complexity measures, dynamical systems, and statistical mechanics. His work has practical implications, particularly in analyzing physiological signals in neurodegenerative disorders such as Parkinson's, ALS, and Huntington’s disease. He has applied advanced mathematical models to real-world problems, blending theoretical frameworks with experimental data, and has developed robust measures for complexity in both natural and synthetic time series.

Impact and Influence

With 16 publications in high-impact journals such as Physica D, Entropy, Scientific Reports, and Chaos, Dr. Afsar has established himself as a prominent researcher in his field. His citation index of 8 reflects a growing academic footprint, supported by fruitful collaborations with renowned scholars like Prof. Dr. Juergen Kurths and Dr. Norbert Marwan. His studies on entropy, nonequilibrium states, and complex dynamics have enhanced our understanding of chaotic systems and self-organization.

Academic Cites and Collaborations

Dr. Afsar maintains an active Google Scholar profile here, where his research is accessible to the global academic community. He is deeply involved in interdisciplinary collaborations, notably with institutions in Germany and Türkiye, which amplify the international scope and relevance of his work.

Technical Skills

His expertise spans time series analysis, recurrence quantification, entropy metrics, nonextensive statistical mechanics, and computational modeling. These tools are foundational in his research on both physical systems and biological signals, revealing patterns that contribute to diagnostics and system behavior analysis.

Teaching Experience

As an associate professor, Dr. Afsar has mentored undergraduate and graduate students at Ege University, guiding them through complex theoretical and experimental physics. His consultancy role in TÜBİTAK’s BİDEB 2209-A projects also reflects his engagement in academic development and support of emerging scholars in the field of entropy analysis and dynamical systems.

Legacy and Future Contributions

Looking ahead, Dr. Afsar aims to expand the application of complexity measures to broader scientific problems, including climate dynamics and medical diagnostics. His interdisciplinary methodology and commitment to research excellence position him as a vital contributor to the evolution of statistical physics and applied mathematics. His trajectory promises to influence both theoretical exploration and practical innovation in the years to come.

Notable Publications

Recurrence Quantification Analysis at work: Quasi-periodicity based interpretation of gait force profiles for patients with Parkinson disease
Authors: O. Afsar, U. Tirnakli, N. Marwan
Journal: Scientific Reports
Year: 2018

Probability densities for the sums of iterates of the sine-circle map in the vicinity of the quasiperiodic edge of chaos
Authors: O. Afsar, U. Tirnakli
Journal: Physical Review E—Statistical, Nonlinear, and Soft Matter Physics
Year: 2010

Generalized Huberman-Rudnick scaling law and robustness of q-Gaussian probability distributions
Authors: O. Afsar, U. Tirnakli
Journal: Europhysics Letters
Year: 2013

Entropy-based complexity measures for gait data of patients with Parkinson's disease
Authors: O. Afsar, U. Tirnakli, J. Kurths
Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
Year: 2016

Renormalized entropy for one dimensional discrete maps: periodic and quasi-periodic route to chaos and their robustness
Authors: O. Afsar, G.B. Bagci, U. Tirnakli
Journal: The European Physical Journal B
Year: 2013

Fei Yu | Analytical Chemistry | Best Researcher Award

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Mr. Fei Yu | Analytical Chemistry | Best Researcher Award

Shanghai Tenth People's Hospital, China

👨‍🎓Profiles

🎓 Early Academic Pursuits

Yu Fei’s academic journey began with a Bachelor of Medicine (B.Med.) in Nuclear Medicine from Soochow University (1996-2001). This foundational education provided a strong background in medical imaging and nuclear diagnostics. Building on this, Yu Fei pursued a Master of Science (M.Sc.) in Public Health at Fudan University (2005-2008), which broadened his expertise in epidemiology, healthcare management, and disease prevention strategies. To further specialize in nuclear medicine, he completed a Doctor of Medicine (Ph.D.) at Tongji University (2009-2012), focusing on advanced medical imaging, radiopharmaceuticals, and nuclear diagnostics.

🏥 Professional Endeavors

Yu Fei has been an integral part of Tongji University and Shanghai Tenth People’s Hospital, where he has steadily progressed through various roles:

  • Physician (2001-2007) – Gaining hands-on clinical experience in diagnostic imaging and nuclear medicine procedures.
  • Attending Physician (2007-2013) – Expanding his clinical expertise while taking on responsibilities in patient care, research, and teaching.
  • Associate Chief Physician (2013-2018) – Playing a pivotal role in medical research and supervising junior physicians.
  • Chief Physician (2018-Present) – Leading advancements in nuclear medicine, guiding medical teams, and contributing to innovative research.

His steady career progression reflects dedication, expertise, and leadership in the medical field.

🔬 Contributions and Research Focus

Yu Fei’s research is centered on nuclear medicine and public health, with a particular focus on:

  • Radiopharmaceuticals and Molecular Imaging – Enhancing early disease detection and treatment effectiveness.
  • Oncological Imaging – Using PET/CT and SPECT for cancer diagnostics and therapy assessment.
  • Nuclear Cardiology – Advancing non-invasive imaging techniques for cardiovascular diseases.
  • Public Health and Preventive Medicine – Contributing to healthcare policies and epidemiological studies.

His work has improved diagnostic accuracy, influenced treatment strategies, and contributed to advancements in personalized medicine.

🌍 Impact and Influence

As a Chief Physician at Shanghai Tenth People’s Hospital, Yu Fei has significantly impacted the fields of nuclear medicine and medical imaging. His leadership in clinical applications, research innovations, and academic mentorship has shaped both medical practice and scientific advancements. His contributions in oncology, cardiology, and public health imaging continue to influence medical professionals locally and internationally.

📚 Academic Citations and Publications

Yu Fei has published numerous research papers in leading medical journals, focusing on nuclear medicine applications, radiopharmaceuticals, and imaging advancements. His research has been widely cited, reflecting his influence in the academic and medical research communities.

🛠️ Technical Skills

With extensive experience in nuclear medicine and diagnostic imaging, Yu Fei is proficient in:

  • Positron Emission Tomography (PET/CT)
  • Single Photon Emission Computed Tomography (SPECT)
  • Radiopharmaceutical Development and Application
  • Cardiac and Oncological Nuclear Imaging
  • Epidemiological Data Analysis in Public Health

His technical expertise enables accurate diagnosis and cutting-edge research in nuclear imaging.

👨‍🏫 Teaching and Mentorship

Yu Fei has played a key role in training and mentoring medical students, residents, and junior physicians at Tongji University and Shanghai Tenth People’s Hospital. His teaching contributions include:

  • Clinical Training in Nuclear Medicine – Preparing future specialists with hands-on experience.
  • Medical Research Supervision – Guiding students in conducting and publishing research.
  • Continuing Medical Education (CME) Programs – Enhancing the skills of practicing professionals in nuclear medicine.

His mentorship has fostered the growth of future medical leaders and researchers.

🚀 Legacy and Future Contributions

Yu Fei’s career has already left a significant mark on nuclear medicine and medical imaging. Looking ahead, his goals include:

  • Expanding Research in Molecular Imaging – Improving early disease detection techniques.
  • Developing Innovative Radiopharmaceuticals – Enhancing therapeutic applications.
  • Advancing Public Health Imaging – Integrating nuclear medicine in preventive healthcare.
  • Mentoring the Next Generation – Continuing to train and inspire future medical professionals.

📖Notable Publications

Minal Ghante | Analytical Chemistry | Best Researcher Award

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Dr. Minal Ghante | Analytical Chemistry | Best Researcher Award

Smt. Kashibai Navale College of Pharmacy, India

👨‍🎓Profiles

🎓 Early Academic Pursuits

From the outset of your academic journey, you demonstrated a keen interest in chemistry and material sciences, which led you to pursue higher education in this field. Your Bachelor’s, Master’s, and Ph.D. studies at Thiruvalluvar University provided a solid foundation in chemistry, focusing on nanomaterials and electrocatalysis. Your early research efforts delved into photocatalysis and energy storage systems, setting the stage for your future contributions to renewable energy research.

🏆 Professional Endeavors

Your professional career has been shaped by roles in academia and research, particularly through your postdoctoral fellowship at Chulalongkorn University, Bangkok, Thailand. Under the mentorship of Dr. Piyasan Praserthdam, you continued your explorations in electrocatalysis and nanomaterials. Your expertise spans energy storage, hydrogen evolution reaction (HER), and catalysis, with a specific focus on sustainable and platinum-free electrocatalysts.

🔬 Contributions and Research Focus

A key area of your research revolves around the design and development of nanomaterials for energy conversion. Your work in HER and OER electrocatalysis has played a pivotal role in advancing green hydrogen technology. You have also contributed to the study of supercapacitors, electrochemical impedance spectroscopy, and photocatalytic materials, making significant strides toward efficient and cost-effective energy solutions. Your Ph.D. thesis focused on the synthesis, characterization, and application of platinum-free electrocatalysts, demonstrating your commitment to sustainable research.

🌍 Impact and Influence

Your research has had a profound impact on the field of sustainable energy and nanotechnology, contributing to the global push for cleaner energy solutions. Through international collaborations and scientific publications, your work has influenced both academic circles and industrial applications. The practical applications of your research in energy storage and hydrogen production have the potential to revolutionize renewable energy technologies.

📚 Academic Citations and Publications

Your scholarly contributions include several SCI-indexed publications, showcasing your research in renowned journals and international conferences. Your work has garnered significant recognition, with numerous citations in leading scientific papers. This highlights the relevance and impact of your findings in the scientific community.

🛠️ Technical Skills

With a strong background in analytical and electrochemical techniques, you possess expertise in:

👨‍🏫 Teaching and Mentorship

Throughout your academic career, you have actively mentored and guided students, fostering the next generation of researchers. Your involvement in student projects during your Ph.D. and postdoctoral tenure has played a crucial role in their academic and professional development. Your dedication to knowledge-sharing and mentorship is a testament to your commitment to academic excellence.

🚀 Legacy and Future Contributions

Your long-term vision includes expanding the frontiers of green energy research by focusing on sustainable electrocatalysts and advanced nanomaterials. Your work has already paved the way for innovative energy storage systems, and you continue to explore cost-effective solutions for hydrogen production and environmental sustainability. Moving forward, you aim to contribute to cutting-edge research, mentor upcoming scientists, and drive impactful collaborations worldwide.

📖Notable Publications

  • RP-HPLC and HPTLC method development and validation for estimation of dolutegravir in bulk and tablet dosage form
    Authors: Ghante, M.R.; Sawant, S.D.; Undre, M.; Jagtap, S.G.; Kulkarni, P.; Nikam, V.S.
    Journal: Indian Drugs
    Year: 2019

  • Stability indicating method development and validation of finasteride by high-performance thin-layer chromatography studies
    Authors: Sawant, S.; Ghante, M.
    Journal: Asian Journal of Chemistry
    Year: 2017

  • Development and validation of stability indicating method for darunavir with forced degradation studies using LC-ESI-MS/MS
    Authors: Ghante, M.; Sawant, S.D.
    Journal: Asian Journal of Chemistry
    Year: 2016

  • Development and validation of UV spectrophotometric method for estimation of Darunavir ethanolate in bulk and tablet dosage form
    Authors: Ghante, M.R.; Shelar, R.S.; Sawant, S.D.; Kadam, M.M.
    Journal: International Journal of Pharmacy and Pharmaceutical Sciences
    Year: 2014

  • Development and validation of UV spectrophotometric methods for estimation of Atazanavir sulphate in bulk and tablet dosage form
    Authors: Ghante, M.R.; Kadam, M.M.; Sawant, S.D.; Shelar, R.S.
    Journal: International Journal of Pharmacy and Pharmaceutical Sciences
    Year: 2014

 

Sarika Jain | Analytical Chemistry | Women Researcher Award -1759

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Dr. Sarika Jain | Analytical Chemistry | Women Researcher Award

Amity University Haryana, India

👨‍🎓Profiles

🎓 Early Academic Pursuits

Sarika Jain’s academic journey is marked by excellence and dedication to the field of mathematics. She completed her Bachelor’s degree in Mathematics (Hons.) from Delhi University in 2005, achieving an outstanding 89% score, which laid the foundation for her higher studies. Her passion for mathematics led her to IIT Delhi, where she pursued a Master’s degree in Mathematics and secured a CGPA of 7.13 in 2007. Determined to contribute to research, she enrolled in a Ph.D. program at IIT Delhi, where she worked on Numerical Modeling of the Impact of Urbanization in the DMIC Region on Surface Air Temperature. She successfully completed her coursework with an impressive CGPA of 9.2, showcasing her strong analytical and research capabilities.

🏢 Professional Endeavors

With 15 years of experience, Sarika Jain has made significant contributions to both academia and industry. Her career spans 13 years in teaching and 2 years in the industry, where she has been involved in research, education, and data analysis. She currently holds the position of Associate Professor at Amity University, Gurugram, a role she has been serving in since June 2023, where she is actively engaged in teaching and research. Previously, she was an Assistant Professor at the same institution from 2012 to 2023, playing a crucial role in academic development and research guidance.

Her teaching career also includes a stint as a Senior Lecturer at IMC, New Delhi (2011-2012) and a Lecturer at WIT, Gurgaon (2009-2010), where she nurtured students in mathematics and computational sciences. Apart from academia, she has industrial experience as an Analyst at MG Mobile Trading Pvt. Ltd., New Delhi (2007-2009), specializing in data analysis and mathematical modeling. She also worked as a Subject Matter Expert at Prometric Testing Pvt. Ltd., Gurgaon (2011), contributing to technical services and assessments.

📚 Research Focus and Contributions

Sarika Jain’s research interests span multiple domains, including Weather Research Forecasting (WRF) Modeling, Statistical Data Analysis, Optimization, Nature-Inspired Algorithms, Machine Learning, Artificial Intelligence, and Soft Computing. Her Ph.D. research focused on analyzing the impact of urbanization on surface air temperature, using numerical modeling techniques to understand environmental changes in urban regions. Given the increasing concerns about climate change and urban expansion, her research provides valuable insights for sustainable urban development.

Her work in nature-inspired optimization algorithms has further applications in solving large-scale computational problems. By integrating mathematical modeling, AI, and statistical analysis, she has contributed to advancements in climate forecasting, machine learning applications, and optimization techniques.

🌍 Impact and Influence

Sarika Jain’s research has been recognized in high-impact journals and international conferences, reinforcing her influence in computational mathematics and artificial intelligence. Her contributions are documented under her Scopus ID (57220831968) and ORCID ID (0000-0002-4795-9556), which highlight the significance of her work.

Her research in climate modeling and AI-driven predictive analysis has practical applications in urban development, environmental sustainability, and smart city planning. Through her work, she has helped develop advanced forecasting models that aid policymakers and industries in making informed decisions regarding climate adaptation and risk assessment.

📊 Academic Citations and Recognitions

Sarika Jain’s research contributions have been widely cited in academic publications and industry reports. Her work in climate forecasting, statistical modeling, and artificial intelligence applications has served as a foundation for future research in these domains. The growing citations of her publications reflect the relevance and impact of her research in the broader scientific community.

🖥️ Technical Skills

Sarika Jain possesses strong technical expertise in applied mathematics and computational techniques. She has advanced proficiency in Weather Research Forecasting (WRF) Modeling, which is crucial for climate simulations and predictive analytics. Her expertise extends to statistical data analysis, artificial intelligence, machine learning, soft computing, and nature-inspired algorithms, enabling her to create efficient mathematical models for solving complex problems. Her ability to integrate computational intelligence with real-world applications has made her research highly impactful.

🎓 Teaching Experience

As an educator, Sarika Jain has dedicated 13 years to mentoring students in mathematics and computational sciences. Her research-driven approach to teaching helps bridge the gap between theory and practical applications. She specializes in applied mathematics, statistical computing, and algorithmic modeling, ensuring that students gain the necessary skills to analyze and solve real-world challenges.

She fosters critical thinking and problem-solving abilities among students, encouraging them to pursue research-based learning. Many of her students have gone on to excel in academia, research, and the tech industry, thanks to her mentorship. Her ability to simplify complex mathematical concepts makes her a respected professor, admired for her teaching methodology and academic leadership.

🔮 Legacy and Future Contributions

Sarika Jain’s contributions to academia, research, and industry continue to grow as she explores new advancements in computational mathematics and artificial intelligence. Moving forward, she aims to:

  • Advance her research in climate forecasting using AI and deep learning.
  • Develop innovative nature-inspired algorithms for large-scale optimization problems.
  • Mentor young researchers and students to contribute to cutting-edge scientific advancements.
  • Establish global collaborations for interdisciplinary research in mathematical modeling.

📖Notable Publications

Divided opposition strategy in particle swarm framework for constrained optimization problem

Authors: Sarika Jain, Rekha Rani, Pradeep Jangir, Seyed Jalaleddin Mousavirad, Ali Wagdy Mohamed

Journal: Results in Control and Optimization

Year: 2025-03

A hybrid Mountain Gazelle particle swarm-based algorithm for constrained optimization problems

Authors: Rekha Rani, Vanita Garg, Sarika Jain, Harish Garg

Journal: Evolving Systems

Year: 2025-02

A review of nature-inspired algorithms on single-objective optimization problems from 2019 to 2023

Authors: Rekha Rani, Sarika Jain, Harish Garg

Journal: Artificial Intelligence Review

Year: 2024-04-24

Diagnostic Efficacy of LAMP Assay for Human Fungal Pathogens: a Systematic Review and Meta-analysis

Authors: Gurvinder Singh Bumbrah, Sarika Jain, Shweta Singh, Zeeshan Fatima, Saif Hameed

Journal: Current Fungal Infection Reports

Year: 2023-09

Efficacy of LAMP assay for Mycobacterial spp. detection to prevent treatment delays and onset of drug resistance: a systematic review and meta-analysis

Authors: Gurvinder Singh Bumbrah, Sarika Jain, Zeeshan Fatima, Saif Hameed

Journal: Drug Target Insights

Year: 2023-06-07

Prediction of temperature for various pressure levels using ANN and multiple linear regression techniques: A case study

Authors: Sarika Jain, Sarita Rathee, Ajay Kumar, Anivel Sambasivam, Rahul Boadh, Tushar Choudhary, Parveen Kumar, Pravin Kumar Singh

Journal: Materials Today: Proceedings

Year: 2022