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 πŸŽ“ 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. πŸ“ŠπŸ“š

Publication Profile

Scopus

Education

Dr. Anup Kumar Sharma πŸŽ“ 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 πŸ“Š. 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. πŸ“–

Experience

Dr. Anup Kumar Sharma πŸŽ“ 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 πŸ“š. 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 πŸ“Š. 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. βœ¨πŸ“–

Awards

Dr. Anup Kumar Sharma πŸŽ“ 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) πŸ“š. 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) πŸ“Š. 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 πŸ“Š, 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 πŸ”’, 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 πŸ“ˆ.

Publication Top Notes

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

Joonsik Jo | Formulation Science | Best Researcher Award

Joonsik Jo | Formulation Science | Best Researcher Award

Mr Joonsik Jo, The Seoul Institute, South Korea

Mr. Joonsik Jo is a distinguished researcher in Transportation Planning & Engineering with expertise in using Explainable Artificial Intelligence (XAI) to analyze the relationship between pedestrian volume and air quality 🌍🚢. He holds a Master’s and Bachelor’s degree in Transportation Engineering from the University of Seoul πŸŽ“. His impactful projects include public transportation feasibility studies and AI-driven vehicle management systems πŸš†πŸ€–. Mr. Jo’s publication in Clean Technologies and Environmental Policy and his Best Paper Presentation Award at the Korean Society of Transportation highlight his significant contributions to sustainable urban mobility 🌱.

Publication Profile

scopus

Educational Background

Mr. JoonsikΒ  holds a Master’s degree in Transportation Engineering from the University of Seoul, where his research focused on the intersection of artificial intelligence and transportation systems πŸ€–πŸš—. This solid academic foundation is supported by his Bachelor’s degree in Transportation Engineering from the same institution, showcasing his long-standing commitment to the field πŸ“šπŸŽ“. His innovative approach to research and dedication to advancing transportation technologies makes him a standout figure in his area of expertise 🌟. Mr. Jo’s work combines the principles of engineering with cutting-edge AI, contributing to the evolution of smart transportation systems and sustainable urban mobility πŸš€.

Awards and Recognition

Mr. Joonsik Jo has been honored with the Best Paper Presentation Award at the 87th Conference of the Korean Society of Transportation πŸš—πŸ“š. This prestigious recognition further underscores the exceptional quality and impact of his research in the field of transportation studies. By effectively communicating complex ideas, Mr. Jo has demonstrated his ability to present innovative insights that contribute significantly to the academic community. His achievement highlights both his dedication to advancing knowledge and his skill in conveying intricate concepts with clarity πŸŽ€πŸ†. This award serves as a testament to his hard work and valuable contributions to the transportation sector.

Employment History

Mr. Joonsik Jo is currently pursuing his Master’s degree in Transportation Engineering at the University of Seoul πŸŽ“πŸš—. As a dedicated student, he is gaining advanced knowledge and expertise in the field of transportation, focusing on developing innovative solutions to improve infrastructure and systems. His academic journey at a prestigious institution like the University of Seoul reflects his commitment to excellence in transportation engineering. By immersing himself in research and coursework, Mr. Jo is building a strong foundation to contribute to the future of sustainable and efficient transportation solutions πŸŒπŸ”§. His passion for the field drives his continuous growth and success.

Research Projects

Mr. Joonsik Jo has made significant contributions to several high-impact research projects, focusing on urban transportation systems, sustainability, and efficiency πŸŒπŸš‡. His work on the Feasibility Study and Commercialization Plan for Public Transportation in the Uiwang-Gunpo-Ansan Area, as well as the Traffic Demand & Pedestrian Flow Estimation for the GTX Uijeongbu Station Transfer Center Construction Project, showcases his dedication to improving public transportation planning and infrastructure πŸ™οΈπŸšΆβ€β™‚οΈ. Additionally, Mr. Jo’s research on detecting MERS virus spread in public transport and developing an Autonomous Shared Vehicle Management System using AI deep learning techniques highlights his innovative, multidisciplinary approach to solving real-world challenges πŸ€–πŸ’‘.

Published Work

Mr. Joonsik Jo has made a remarkable contribution to the field through his publication in Clean Technologies and Environmental Policy (SCIE journal) πŸŒΏπŸ“–. His research explores the relationship between air quality and walkability using cutting-edge Explainable AI (XAI) techniques πŸŒ¬οΈπŸ€–. This innovative approach allows for a deeper understanding of environmental and transportation issues, which is vital for creating sustainable and livable cities πŸ™οΈπŸ’š. By applying XAI to these complex challenges, Mr. Jo is helping to pave the way for smarter urban planning and more effective solutions to improve both air quality and pedestrian infrastructure.

Research Focus

Mr. Joonsik Jo’s research primarily focuses on urban transportation systems, environmental impact, and the use of artificial intelligence (AI) for data analysis in transportation planning. His work includes topics such as predicting passenger congestion in subways πŸš‡, travel demand management to mitigate climate change 🌍, and the impact of transportation on air quality 🌫️. Additionally, he explores the relationship between air quality and walkability πŸ™οΈ using explainable AI techniques. His contributions also include environmental comparisons between different public transport systems, such as super bus rapid transit and trams πŸšπŸš‹. His research aims to enhance sustainable urban development and improve environmental quality.

Publication Top Notes

A hybrid clustering–regression approach for predicting passenger congestion in a carriage at a subway platform