Anup Kumar Sharma | Formulation Science | Best Researcher Award

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

Mr. Sun Hui|Formulation Science|Best Researcher Award

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