Najla Trabelsi | Formulation Science | Top Pharmaceutical Scientist Award

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Assoc. Prof. Dr. Najla Trabelsi | Formulation Science | Top Pharmaceutical Scientist Award

Center of Biotechnology of Borj Cedria | Tunisia

Assoc. Prof. Dr. Najla Trabelsi is an accomplished scholar in Biological Sciences whose academic and professional journey reflects a continuous commitment to excellence, innovation, and scientific advancement. She built a strong foundation in the biological sciences through progressive academic training from the bachelor’s level to the highest scientific habilitation, equipping her with deep theoretical knowledge and advanced research expertise. Her career at the Centre of Biotechnology of Borj Cédria (CBBC) demonstrates her steady and impactful growth within the scientific community. Beginning as a dedicated assistant, she advanced to assistant professor and ultimately to associate professor, earning recognition for her leadership, research productivity, and contributions to national and international scientific development.Dr. Trabelsi is an active member of the Research Laboratory of Olive Biotechnology, where she focuses on exploring biological mechanisms, enhancing biotechnological applications, and contributing to sustainable agricultural and biotechnological solutions. Her research output is particularly notable, with a remarkable record of more than fifty international publications indexed in Scopus. Her publication portfolio reflects a consistent engagement with high-impact research themes, innovative methodologies, and collaborative scientific inquiry. As an author and co-author of numerous scientific articles, she has contributed to advancing knowledge in plant biotechnology, molecular biology, and applied biological sciences, strengthening her reputation as a leading researcher in her field.Beyond her research contributions, Dr. Trabelsi is also actively involved in academic mentorship and supervision. She has successfully supervised multiple doctoral, master’s, and final-year research projects, helping to shape the next generation of scientists and researchers. Her ability to guide and inspire students underscores her dedication to capacity building and academic excellence. Additionally, her involvement in several research projects highlights her ability to secure scientific collaborations and contribute to the growth of innovative biotechnological initiatives.Through her scholarly achievements, extensive research contributions, and unwavering commitment to scientific advancement, Assoc. Prof. Dr. Najla Trabelsi continues to make a significant impact on the field of biological sciences. Her work stands as a testament to her expertise, leadership, and dedication to advancing biotechnology at both national and international levels.

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Featured Publications

Souhire Belloumi | Formulation Science | Best Researcher Award

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Souhire Belloumi | Formulation Science | Best Researcher Award

Ms. Souhire Belloumi at Faculty of Sciences of Tunis and Center of Biotechnology of Borj Cedria, Tunisia.

Ms. Souhire Belloumi is a dynamic young researcher pursuing her Ph.D. in Biological Sciences at the University of Tunis El-Manar, Tunisia 🇹🇳. With dual Master’s degrees in Biological Sciences and Environmental Biomonitoring, and a Bachelor’s in Medical Biotechnology 🧫, she specializes in bioactive compounds, molecular diagnostics, and food preservation 🌿🍗. Her research spans from natural preservatives to vaccine development, combining LC-MS/MS, PCR, and biochemistry tools 🔍🧪. She has collaborated internationally, including a stint at the University of Pisa 🇮🇹, and authored multiple impactful publications 📚. Her passion lies in innovating sustainable solutions for health and food security.

Publication Profile 

Scopus

Education

Ms. Souhire Belloumi has cultivated a strong academic foundation in life sciences. She is currently pursuing her Ph.D. in Biological Sciences (2019–2024) at the University of Tunis El-Manar 🧬. Prior to this, she earned a Master’s in Biological Sciences (2018–2019) and another in Environmental Biomonitoring (2016–2018) from the University of Carthage 🌿🧪. Her academic journey began with a Bachelor’s degree in Medical Biotechnology with a focus on Molecular Engineering (2013–2016) at the High Institute of Medical Technologies, Tunis 🧫. Her multidisciplinary education equips her with robust expertise in molecular biology, environmental science, and biotechnology.

Experience

Ms. Souhire Belloumi has rich research experience across molecular biology, virology, and natural product chemistry. At the University of Pisa, Italy 🇮🇹 (Oct–Dec 2023), she characterized bioactive plant compounds using LC-MS/MS. As a Research Scientist at the Center of Biotechnology of Borj-Cedria (2020–2023), she explored natural biopreservatives 🧪 for poultry, partnering with Poulina Holdings 🐔. Earlier roles include research on essential oils, virus diagnostics 🌿🦠, and vaccine development at Tunisia’s Pasteur Institute 💉. Her hands-on work in molecular diagnostics, compound isolation, and industrial applications highlights her commitment to bridging lab research and real-world impact.

Research Focus 

Ms. Souhire Belloumi focuses her research on natural bioactive compounds with applications in food preservation, microbiology, and environmental health 🌿🍗🦠. Her work emphasizes the synergistic use of essential oils to extend the shelf life of poultry products, showcasing innovations in natural biopreservatives 🍃🧪. She skillfully integrates chemical analysis, molecular biology, and biochemistry to evaluate antimicrobial, antioxidant, and insecticidal properties of plant-derived substances 🔍💧🧬. Her interdisciplinary approach not only advances food safety and sustainability 🌍 but also contributes to the development of eco-friendly alternatives to synthetic preservatives 🚫🧫✅, making her a valuable asset in biotechnology and food science.

Publication Top Notes

  • Combined essential oils as natural chicken meat preservatives: chemical composition, biological activities, synergy and shelf-life extension potential

Anup Kumar Sharma | Formulation Science | Best Researcher Award

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Anup Kumar Sharma | Formulation Science | Best Researcher Award

Dr Anup Kumar Sharma, National Institute of Technology Raipur, India

Dr. Anup Kumar Sharma 🎓 is a distinguished mathematician specializing in Sampling Theory and Operations Research. He earned his Ph.D. in Applied Mathematics from IIT(ISM) Dhanbad (2016) under Prof. G. N. Singh, focusing on alternative estimation procedures in sample surveys. He also holds an M.Phil. and M.Sc. in Mathematics and Computing. With extensive teaching experience, he has served as an Ad-Hoc Faculty at NIT Warangal and an Adjunct Assistant Professor at VNIT Nagpur. His expertise spans mathematical modeling, probability theory, and statistical methods. Passionate about research and education, Dr. Sharma continues to contribute to academia. 📊📚

Publication Profile

Scopus

Education

Dr. Anup Kumar Sharma 🎓 is a distinguished mathematician specializing in applied mathematics and statistics. He earned his Ph.D. (2016) from IIT(ISM)-Dhanbad, focusing on alternative estimation procedures in sample surveys under the guidance of Prof. G. N. Singh 📊. He also holds an M.Phil. (2011) in operations research, an M.Sc. (2010) in mathematical modeling, and a B.Sc. (2007) in mathematics honors. His academic journey began with an I.Sc. (2003) in PCM and matriculation (2001) from Jharkhand. With a passion for mathematical research and statistical methodologies, Dr. Sharma continues to contribute to the field with expertise and dedication. 📖

Experience

Dr. Anup Kumar Sharma 🎓 has extensive teaching experience in applied mathematics across esteemed institutions. He served as an Ad-Hoc Faculty at NIT Warangal (2017-2018), teaching subjects like Mathematics-I, II, IV and Statistical & Numerical Methods to B.Tech students 📚. Prior to that, he was an Adjunct Assistant Professor at VNIT Nagpur (2016-2017), instructing both B.Tech and M.Tech students in Probability Theory, Statistical Methods, and Optimization Techniques 📊. His journey began as an Assistant Professor at Bengal College of Engineering and Technology (2011-2012), where he taught Mathematics and Numerical Methods to B.Tech and MCA students. ✨📖

Awards

Dr. Anup Kumar Sharma 🎓 has demonstrated exceptional academic excellence throughout his journey. He qualified the All India ISM-Dhanbad M.Sc. Entrance Examination (2008), securing admission to one of India’s premier institutes. His dedication earned him the Merit Cum Means (MCM) Scholarship during his M.Sc. (2008-2010) 📚. Continuing his academic pursuit, he also cleared the All India ISM-Dhanbad M.Phil. Entrance Examination (2011). His research potential was further recognized when he received the prestigious UGC Fellowship for pursuing a Ph.D. in Applied Mathematics (2012) 📊. Dr. Sharma’s achievements highlight his commitment to excellence in mathematical sciences. ✨

Research Focus

Dr. A. K. Sharma’s research primarily focuses on statistical sampling techniques 📊, particularly successive sampling, non-response handling, and variance estimation. His work delves into improving estimation procedures, imputation methods, and Bayesian inference for population studies. He has contributed extensively to survey sampling methods, censored data analysis, and reliability modeling 🔢, often applying his techniques to public health, quality control, and economic data. His expertise spans Bayesian modeling, hybrid censored data, and progressive sampling strategies. His research is widely published in high-impact journals, emphasizing robust estimation strategies and enhanced statistical modeling approaches for real-world data analysis 📈.

Publication Top Notes

Statistical inference and optimal plans for improved adaptive type-II progressive censored data following Kumaraswamy-G family of distributions

Swapnil Shinkar | Formulation Science | Best Researcher Award

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Swapnil Shinkar | Formulation Science | Best Researcher Award

Mr Swapnil Shinkar, National Institute of Technology Raipur, India

Mr. Swapnil Shinkar is a dedicated statistician and academician pursuing his Ph.D. in Statistics from NIT Raipur. With extensive teaching and research experience, he has served as a Statistician Cum Assistant Professor in various medical institutions, currently at Shri Shankaracharya Institute of Medical Sciences, Bhilai. Proficient in statistical software like SPSS, R, and MINITAB, he specializes in data analysis and research methodology. His work includes publications on queuing models and simulation approaches. Certified in Six Sigma Green Belt and Data Science, he actively contributes to statistical research and medical education. 📚📈

Publication Profile

orcid

Education

Mr. Swapnil Shinkar 🎓 is currently pursuing a Ph.D. in Statistics from the National Institute of Technology, Raipur, with his thesis submission expected after August 2025. He has already earned a Ph.D. in Statistics from Rashtrasant Tukadoji Maharaj Nagpur University (Notification: January 2024). He completed his M.Sc. in Statistics (2010-2012) and B.Sc. in Statistics (2005-2008) with commendable scores. His academic journey began at Nashik Board, where he completed his H.S.C. and S.S.C. 📊 Proficient in statistical software, he is skilled in SPSS, MINITAB, SyStat, R Programming, and MS Excel, making him a data-driven analytical expert. 📈

Experience

Mr. Swapnil Shinkar 🎓 is a seasoned statistician and academician with extensive experience in teaching and research. He is currently serving as a Statistician Cum Assistant Professor in the Department of Community Medicine at Shri Shankaracharya Institute of Medical Sciences, Bhilai (since July 2024). Previously, he held similar roles at Vedantaa Institute of Medical Sciences, Symbiosis Medical College for Women, and Pt. J. N. M. Medical College, contributing significantly to medical research and education. His journey also includes a Junior Research Fellowship (SERB) at RTM Nagpur University and experience as a Contributory Lecturer, shaping future researchers. 📊📚

Administrative Experience

Mr. Swapnil Shinkar 🎓 has extensive administrative experience in the medical and academic sectors. He served as a Regulatory Officer at Vedantaa Institute of Medical Sciences, Palghar, from March 2023 to June 2024, ensuring compliance and governance. Previously, he held the role of Nodal Officer at the same institute from July 2017 to February 2019, managing key responsibilities. Additionally, he was In-charge of the Medical Record Department at Shri Shankaracharya Institute of Medical Sciences, Bhilai, from September 2016 to June 2017. His leadership and organizational skills have significantly contributed to institutional operations. 🏥📊

Research Guidance

Mr. Swapnil Shinkar 🎓 has extensive experience in research guidance, particularly in statistical analysis. In the non-medical domain, he has mentored over 30 Ph.D. candidates, providing expert statistical insights. In the medical field, he has guided 15 undergraduate project groups in research planning and statistical analysis. Additionally, he supports more than 100 postgraduate medical candidates annually, assisting them in data analysis and research methodology. His expertise in statistics plays a crucial role in shaping high-quality research across multiple disciplines, making him a sought-after mentor and advisor in academic and medical research. 📊📚

Research Focus

Dr. Swapnil Shinkar’s research primarily focuses on public health epidemiology 🏥, community medicine 🌍, and infectious disease surveillance 🦠. His work spans hypertension prevalence among tribal populations, HIV risk factors, oral cancer screening, and COVID-19 studies. Additionally, he has contributed to biostatistics education, tuberculosis screening, and child development programs. His expertise extends to healthcare accessibility 🚑, disease prevention 🛑, and health policy evaluation 📊. Through cross-sectional and longitudinal studies, he provides critical insights into health disparities and medical education 📖. His multidisciplinary approach helps bridge the gap between epidemiology, healthcare interventions, and public health policies.

Publication Top Notes

Assessment of Prevalence of Hypertension and its Risk Factors among Adult Tribal Population Residing in Lohandiguda Block of Bastar District of Chhattisgarh

Status of socio-demographic and behavioral profile of younger and older HIV high risk groups in Chhattisgarh

Role of fluorescence imaging device in screening of oral cancer: A cross-sectional study in chhattisgarh population

Assessment of knowledge about adverse events following immunization among health care workers of Raipur city

Assessment of clinical profile and factors affecting outcome of COVID-19 patient in Chhattisgarh state

Systematic screening of pulmonary tuberculosis among HIV high risk groups in two districts of Chhattisgarh: a feasibility study

Item test analysis to assess the difficulty index for biostatistics, epidemiology, and demography module of undergraduate medical students of Raipur, Chhattisgarh, India

Mr. Sun Hui|Formulation Science|Best Researcher Award

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Mr. Sun Hui-Formulation Science-Best Researcher Award

Mr. Sun Hui at ollege of Computer Science and Technology, Harbin Engineering University, China

Author Profile

scopus

Early Academic Pursuits 🎓

Sun Hui embarked on his academic journey at a young age, demonstrating a keen interest in technology and innovation. He pursued his undergraduate studies at the College of Computer Science and Technology, Harbin Engineering University, China, where he developed a solid foundation in computational sciences and engineering principles. His exceptional performance and enthusiasm for research earned him numerous accolades during his undergraduate years.

Continuing his academic pursuit, Sun Hui delved deeper into advanced topics such as electromagnetic scattering and artificial intelligence, laying the groundwork for his future contributions to science and technology. He completed his postgraduate studies with distinction, focusing on integrating computational methods with real-world applications, setting the stage for a thriving career in academia and research.

Professional Endeavors 🚀

Mr. Sun Hui currently holds dual roles as a researcher at the Institute of Systems Engineering, Academy of Military Science, and a doctoral supervisor at Harbin Engineering University. His professional journey has been marked by a steadfast commitment to advancing the fields of computer science and systems engineering.

At the Academy of Military Science, Sun Hui has been pivotal in developing innovative applications for electromagnetic scattering, which are essential for modern defense and communication systems. Meanwhile, as a mentor at Harbin Engineering University, he has guided numerous doctoral candidates, fostering a new generation of researchers equipped to tackle global technological challenges.

Contributions and Research Focus 🧠

Sun Hui has made significant strides in several cutting-edge areas of science and technology. His primary research interests include:

  • Electromagnetic Scattering: Contributing to the understanding and application of electromagnetic waves in complex environments, essential for radar and communication technologies.
  • Sensor Big Data: Developing advanced algorithms to process and analyze large volumes of sensor-generated data, enabling more efficient decision-making systems.
  • Artificial Intelligence (AI) Theory: Innovating methods to enhance machine learning and AI systems’ accuracy, reliability, and scalability.

In recent years, Sun Hui has concentrated on the “Intelligence+” framework and AI for Science research paradigm innovation. This visionary approach merges traditional scientific methodologies with advanced AI techniques, unlocking new possibilities in data analysis, simulation, and predictive modeling. His work is regarded as transformative, fostering interdisciplinary collaborations and pushing the boundaries of computational science.

Accolades and Recognition 🏆

Sun Hui’s contributions have earned him widespread recognition within academic and professional communities. His accolades include:

  • Prestigious research awards from national and international institutions.
  • Publication of high-impact research papers in leading journals in computer science and engineering.
  • Invitations to deliver keynote speeches at global conferences, sharing insights on the intersection of AI, big data, and science.

His efforts have also been acknowledged through funding grants that support innovative research projects, further solidifying his position as a leading figure in his field.

Impact and Influence 🌍

The impact of Sun Hui’s work extends beyond academia, influencing diverse sectors such as defense, healthcare, and environmental monitoring. His advancements in sensor big data and AI have improved predictive analytics in critical systems, ensuring better resource allocation and risk mitigation.

As an educator, Sun Hui has shaped the careers of numerous students, many of whom have gone on to achieve significant milestones in academia and industry. His commitment to mentorship and collaboration has fostered an inclusive environment where innovation thrives.

Legacy and Future Contributions 🌟

Sun Hui’s legacy is firmly rooted in his ability to merge theoretical expertise with practical applications, addressing real-world challenges with innovative solutions. His work on the “Intelligence+” framework represents a paradigm shift, promising to redefine how scientific research is conducted in the AI era.

Looking ahead, Sun Hui aims to further his exploration of AI for Science, focusing on areas such as quantum computing, climate modeling, and personalized healthcare. He envisions a future where interdisciplinary collaboration powered by AI drives breakthroughs that benefit humanity at large.

Through his relentless pursuit of excellence and visionary leadership, Sun Hui continues to inspire the global scientific community, leaving an indelible mark on the fields of computer science, engineering, and beyond.

Notable Publication

Time-prior-based stacking ensemble deep learning model for ship infrared automatic target recognition in complex maritime scenarios

  • Authors   : Zhang, H., Liu, C., Ma, J., Sun, H.
  • Year         :2024

SAR Neural Radiance Fields with Multi-Resolution Hash Encoding

      • Authors   : Lei, Z., Sun, H., Xu, F.
      • Journal    : International Geoscience and Remote Sensing Symposium 
      • Year         :2024

Ship Infrared Automatic Target Recognition Based on Bipartite Graph Recommendation: A Model-Matching Method

    • Authors   : Zhang, H., Liu, C., Ma, J., Sun, H.
    • Year         :2024

 

Spatiotemporal adaptive attention graph convolution network for city-level air quality prediction

Data Optimization Method for Ship Infrared Image Recognition

    • Authors   : Zhang, H., Liu, C., Ma, J., Sun, H.
    • Journal    : nternational Conference on Cyber-Physical Social Intelligence
    • Year         :2023