Pin-Chun Huang | Environmental Science | Best Researcher Award

Assist. Prof. Dr. Pin-Chun Huang | Environmental Science | Best Researcher Award

Assist. Prof. Dr. Pin-Chun Huang, National Taiwan Ocean University, Taiwan

Dr. Huang is an expert in hydrology and river engineering with extensive experience in rainfall-runoff modeling and flood prediction. He holds a Ph.D. from NTOU and has received numerous awards, including the 2022 Excellent Young Scholars Award from Taiwan’s National Science and Technology Council. He has published widely in high-impact journals, focusing on hydrological and geomorphological systems for flood and coastal inundation forecasting. ๐ŸŒŠ๐Ÿ’ง๐ŸŒ๐Ÿ“š

Publication Profile

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Professional Experience

Assist. Prof. Dr. Pin-Chun Huang has a diverse academic and research background. Since February 2022, he has been serving as an Assistant Professor in the Department of Harbor and River Engineering at National Taiwan Ocean University (NTOU). He also has experience as a Visiting Scholar at several prestigious institutions, including the University of California, Irvine (2019) and Moscow State University (2017). Dr. Huang worked as an Assistant Research Fellow at NTOUโ€™s Center of Excellence for Ocean Engineering from 2018 to 2022. Additionally, he held a postdoctoral position at NTOU from 2016 to 2018. ๐ŸŒ๐Ÿ”ฌ๐Ÿ“š

Education

Assist. Prof. Dr. Pin-Chun Huang has an extensive academic foundation in Harbor and River Engineering from National Taiwan Ocean University (NTOU). He earned his Ph.D. in 2016, following a Masterโ€™s degree in 2013, both from NTOU’s Department of Harbor and River Engineering. Dr. Huang’s academic journey began at NTOU in 2007, where he completed his Bachelorโ€™s degree in 2011. His solid educational background equips him with deep expertise in hydrology, hydraulics, and engineering research. ๐Ÿ“˜๐ŸŽ“๐ŸŒŠ

Awards and Honors

Assist. Prof. Dr. Pin-Chun Huang has received numerous prestigious awards throughout his career. In 2022, he was honored with the Excellent Young Scholars Award by Taiwan’s National Science and Technology Council. Dr. Huang also received the Academic Research Advancement Award from National Taiwan Ocean University in 2021. His academic excellence has been recognized with an Honorary Membership in the Phi Tau Phi Scholastic Honor Society (2016), and the Best Paper Award at the Disaster Management Conference (2013). Additionally, he was awarded the Engineering, Science, and Technology Scholarship by China Engineering Consultants in 2011 and 2012. ๐Ÿ…๐ŸŽ–๏ธ๐Ÿ“œ

Research Interests

 

Assist. Prof. Dr. Pin-Chun Huangโ€™s research interests are focused on surface hydrology and channel hydraulics, aiming to better understand water flow and flood behavior in various environments. His expertise includes rainfall-runoff modeling, which helps predict stormwater runoff, and flood forecasting for urban and rural areas. He also specializes in coastal inundation simulation to evaluate flood risks in coastal regions, integrating storm surge and topographic characteristics. Additionally, Dr. Huang works on geomorphologic analysis, studying the impact of landscape features on hydrological processes. ๐ŸŒŠ๐Ÿ’ง๐ŸŒ๐Ÿž๏ธ๐ŸŒง๏ธ

Publication Top Notes

  • “Distinctions of geomorphological properties caused by different flow-direction predictions from digital elevation models” – Cited by: 21, Year: 2016 ๐ŸŒ๐Ÿ“Š
  • “An efficient method for DEM-based overland flow routing” – Cited by: 21, Year: 2013 ๐Ÿšถโ€โ™‚๏ธ๐ŸŒง๏ธ
  • “Evaluating the adequateness of kinematic-wave routing for flood forecasting in midstream channel reaches of Taiwan” – Cited by: 21, Year: 2012 ๐ŸŒŠ๐Ÿ”ฎ
  • “Influence of topographic features and stream network structure on the spatial distribution of hydrological response” – Cited by: 16, Year: 2021 ๐Ÿž๏ธ๐Ÿ“ˆ
  • “An effective alternative for predicting coastal floodplain inundation by considering rainfall, storm surge, and downstream topographic characteristics” – Cited by: 11, Year: 2022 ๐ŸŒง๏ธ๐ŸŒŠ
  • “Improvement of two-dimensional flow-depth prediction based on neural network models by preprocessing hydrological and geomorphological data” – Cited by: 11, Year: 2021 ๐Ÿค–๐ŸŒ
  • “Efficient DEMโ€based overland flow routing using integrated recursive algorithms” – Cited by: 11, Year: 2017 ๐ŸŒ๐Ÿ”„
  • “A simple depression-filling method for raster and irregular elevation datasets” – Cited by: 11, Year: 2015 ๐Ÿ”๏ธ๐Ÿง‘โ€๐Ÿ’ป
  • “Assessment of flood mitigation through riparian detention in response to a changing climateโ€“a case study” – Cited by: 9, Year: 2018 ๐ŸŒŽ๐ŸŒง๏ธ
  • “An alternative for predicting real-time water levels of urban drainage systems” – Cited by: 8, Year: 2023 ๐ŸŒ†๐Ÿ’ง
  • “Analysis of hydrograph shape affected by flow-direction assumptions in rainfall-runoff models” – Cited by: 7, Year: 2020 ๐ŸŒง๏ธ๐Ÿ”
  • “Channel hydrological response function considering inflow conditions and hydraulic characteristics” – Cited by: 5, Year: 2020 ๐ŸŒŠโš™๏ธ
  • “Channel-flow response function considering the downstream tidal effect and hydraulic characteristics” – Cited by: 3, Year: 2021 ๐ŸŒŠ๐Ÿ”„
  • “Refinement of the channel response system by considering timeโ€varying parameters for flood prediction” – Cited by: 3, Year: 2020 ๐ŸŒง๏ธ๐Ÿ“ˆ
  • “Establishing a shallow-landslide prediction method by using machine-learning techniques based on the physics-based calculation of soil slope stability” – Cited by: 2, Year: 2023 ๐ŸŒ๐Ÿ”ฎ
  • “A novel method of estimating dynamic partial contributing area for integrating subsurface flow layer into GIUH model” – Cited by: 2, Year: 2023 ๐ŸŒ๐Ÿง 

Madhab Chandra Jena | Environmental Science | Best Researcher Award

Dr. Madhab Chandra Jena | Environmental Science | Best Researcher Award

Dr. Madhab Chandra Jena, BPUT, India

Dr. Madhab Chandra Jena is a seasoned professional with over 23 years of industrial experience in production and operations management. He holds multiple degrees, including an M-Tech in Production Engineering, BE in Mechanical and Electrical Engineering, and an MBA in Production Management. Dr. Jena is certified as a Six Sigma Black Belt, Energy Manager, and various ISO lead auditor roles. He has published 25 research papers and holds 5 patents. His expertise spans fiber cement manufacturing, energy auditing, and quality management. Currently serving as COO, he is passionate about driving operational excellence. ๐Ÿ“ˆ๐Ÿ”ง๐Ÿ“š

Publication Profile

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Orcid

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Qualifications and Academic Background

Diverse Educational Qualifications: Dr. Jena holds multiple degrees, including a PhD coursework in Sustainable Energy and Environment, an M.Tech in Mechanical (Production Engineering), and an MBA in Production Management, showcasing a broad educational foundation.

Excellent Academic Performance: His high percentages, particularly in his M.Tech (86%) and first-time GATE qualification, demonstrate his academic excellence and commitment to learning.

Certifications

Relevant Certifications: Dr. Jena’s certifications, such as Energy Manager and Energy Auditor, along with various ISO standards and Six Sigma certifications, highlight his commitment to quality and safety in engineering practices.

Industrial Experience

Leadership Roles: As COO of Ricron Panels Pvt. Ltd. and a former Plant Head at Everest Industries, he has extensive managerial and operational experience in leading engineering teams and overseeing complex projects.

Diverse Industry Exposure: His work spans multiple sectors, including cement manufacturing, packaging, and food safety, indicating versatility and adaptability in different industrial environments.

Research Contributions

Published Research: Dr. Jena has authored 25 research papers on pollution control and optimization of solar power generation, published in reputable journals like Springer and Wiley. This signifies a strong research output and contribution to advancing knowledge in his field.

Patents Filed: Filing 10 patents demonstrates innovation and practical applications of his research, which adds significant value to his profile.

Achievements

Awards and Recognitions: His achievements, including Golden Peacock Awards and international safety awards, reflect recognition of his contributions to industry standards and practices.

Successful Projects: Dr. Jena has played a pivotal role in turning around Kalyanpur Cement Works from loss-making to profit-making, showcasing his impact on organizational performance.

Conclusion

Dr. Madhab Chandra Jena’s blend of academic qualifications, industrial experience, substantial research contributions, and recognition in the field make him a suitable candidate for the Best Researcher Award. His profile aligns well with the criteria typically sought in such awards, emphasizing research, innovation, and industry impact.

 

Publication Top Notes

  • Application of Industry 4.0 to enhance sustainable manufacturing – Cited by 114 – 2020 ๐Ÿ“Š
  • A study of anti-tubercular drug induced adverse reactions in patients attending pulmonary medicine department of a tertiary care teaching hospital – Cited by 10 – 2013 ๐Ÿ’Š
  • Air pollution from cement plants: case study on particulate matter in Bihar, India – Cited by 7 – 2020 ๐ŸŒซ๏ธ
  • Integration of information technology with supply chain management for a strategic change – Cited by 6 – 2018 ๐Ÿ”—
  • Experimental investigation on power consumption of an industrial fan with different flow control methods – Cited by 5 – 2016 โš™๏ธ
  • Effect of aqueous extract of Hibiscus rosa-sinensis Linn on urinary volume and electrolyte extraction in albino rats – Cited by 5 – 2013 ๐ŸŒฟ
  • Integration of Industry 4.0 with reliability centered maintenance to enhance sustainable manufacturing – Cited by 4 – 2024 ๐Ÿ”„
  • A study on economic, efficiency and environment (EEE) impact of different fuels used in boilers to assist decision making in fuel conversion and enhance sustainability – Cited by 4 – 2023 ๐ŸŒ
  • Effect of Particle Size on Collection Efficiency of ESP and RABH: A Case Study – Cited by 4 – 2019 ๐Ÿ”ฌ
  • Experimental investigation on maximizing conveying efficiency of belt conveyors used in series application and estimation of power consumption through statistical analysis – Cited by 3 – 2023 ๐Ÿ“ˆ