Abhijeet Das | Engineering | Cutting Edge Scientific Achievement Award

Published on by Phenomenological Research Awards

Dr. Abhijeet Das | Engineering | Cutting Edge Scientific Achievement Award 

Research Consultant at C.V. Raman Global University | India

Dr. Abhijeet Das is a distinguished researcher in Civil and Water Resources Engineering, known for his impactful contributions to hydrology, water quality, and environmental sustainability. With a career spanning academic teaching, consultancy, and international collaborations, he has demonstrated excellence in advancing methods of water quality assessment, climate change analysis, and sustainable water management practices. His interdisciplinary approach integrates hydrological modeling, GIS, and machine learning, creating solutions for both local and global water challenges. Dr. Abhijeet Das has authored books, research articles, and innovative patents, reflecting his vision of applying science and technology to address pressing environmental and societal needs.

Profile:

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Education:

Dr. Abhijeet Das holds a Ph.D. in Water Resources Engineering from C.V. Raman Global University, where he specialized in hydrological modeling, water quality management, and GIS-based analysis. He earned his M.Tech in Water Resources Engineering from Biju Patnaik University of Technology, following his B.Tech in Civil Engineering from the same institution. His education built a strong foundation in watershed hydrology, climate change impact assessment, and environmental sustainability. Dr. Abhijeet Das’s academic achievements were marked by high distinctions, and he consistently pursued excellence in research-oriented projects. His progression from undergraduate to doctoral studies reflects a clear dedication to solving water resource challenges.

Experience:

Dr. Abhijeet Das has accumulated valuable experience as a researcher, consultant, and educator in civil and water resources engineering. He has taught undergraduate and postgraduate students at premier engineering institutions, nurturing the next generation of engineers and researchers. His consultancy roles allowed him to lead projects involving hydrological assessments, water resource management, and GIS-based solutions for river basin studies. Beyond national engagements, he has collaborated with international universities, working on projects related to wastewater management, climate impact analysis, and geoinformatics. Dr. Abhijeet Das’s combined academic and professional experience reflects his ability to bridge research, teaching, and practical applications.

Research Interests:

Dr. Abhijeet Das’s research interests encompass watershed hydrology, water resources engineering, and hydrological extremes such as droughts and floods. He focuses on climate change impact assessment and its influence on water security, emphasizing sustainable solutions. His expertise extends to the Food-Energy-Water nexus, applying machine learning, GIS, and remote sensing to optimize water management strategies. Dr. Abhijeet Das also contributes to simulation-optimization modeling, neural networks, and fuzzy logic applications for water quality control. His work highlights environmental impact assessment and sustainable management approaches, ensuring that his research directly supports global goals of resilience, sustainability, and resource conservation.

Awards and Honors:

Dr. Abhijeet Das has been honored with multiple awards for his innovative research and outstanding academic contributions. His papers on water quality assessment and GIS-based modeling have received recognition at prestigious national and international conferences. He has won best paper awards for advancing novel methodologies in multivariate statistical analysis and decision-making approaches for water quality management. Additionally, his poster presentations have earned accolades for their clarity, innovation, and societal relevance. Dr. Abhijeet Das’s recognition extends to his role as a valued reviewer and editor for renowned international journals, reflecting his leadership and credibility within the scientific and engineering community.

Publications:

Title: An optimization-based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance
Year of Publication: 2025

Title: A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India
Citation: 2
Year of Publication: 2025

Title: Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques
Citation: 1
Year of Publication: 2025

Title: Bioplastics: a sustainable alternative or a hidden microplastic threat
Year of Publication: 2025

Title: Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning analysis
Year of Publication: 2025

Title: Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India)
Citation: 6
Year of Publication: 2025

Title: Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India
Year of Publication: 2025

Conclusion:

Dr. Abhijeet Das has established himself as a dedicated scholar and innovator in water resources and environmental engineering. His research advances the understanding of hydrological systems, water quality monitoring, and climate change adaptation strategies. By integrating modern tools like GIS, machine learning, and multivariate statistical methods, he has proposed solutions with practical implications for sustainable development. Recognized with awards and widely published, Dr. Abhijeet Das represents a new generation of engineers combining academic rigor with societal impact. His body of work exemplifies excellence in research, making him a highly deserving candidate for recognition through this award nomination.

Jinzhu Shen | Engineering | Best Researcher Award

Published on by Phenomenological Research Awards

Dr. Jinzhu Shen | Engineering | Best Researcher Award 

Doctor at Donghua University | China

Dr. Jinzhu Shen is a dedicated researcher and innovator in fashion design and intelligent manufacturing, focusing on integrating soft robotics and machine vision into textile automation. As a Ph.D. candidate at Donghua University and a visiting researcher at Universidad Politécnica de Madrid, she has established herself as a leading young scholar bridging technology with traditional apparel industries. Her professional experience as an R&D engineer at Rouchu Robotics reflects her applied expertise in developing robotic grippers and autonomous sewing systems. With patents, international conference presentations, and impactful journal publications, she contributes significantly to advancing automation in the fashion and textile field.

Profile:

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Education:

Dr. Jinzhu Shen’s academic journey is distinguished by progressive specialization in fashion design and technology. She began with a strong foundation at Jiangnan University, completing her bachelor’s and master’s degrees in fashion design, where she engaged in research on robotic applications in garment manufacturing. Currently pursuing her doctoral studies in fashion design at Donghua University, her academic path emphasizes intelligent textile production. She further expanded her global academic engagement as a visiting researcher at Universidad Politécnica de Madrid. This comprehensive educational trajectory demonstrates her commitment to interdisciplinary learning and applying scientific principles to transform fashion and textile industries.

Experience:

Dr. Jinzhu Shen’s professional experience combines academic research with industrial innovation. At Rouchu Robotics, she contributed to developing robotic arms and intelligent sewing systems, pioneering the use of soft robotic fingers for fabric handling. Her work included simulations of gripping forces, experimental validation, and vision-based automation for garment assembly. She has also engaged in significant funded research projects, collaborating with universities and industry partners to design intelligent quilting systems, autonomous sewing solutions, and advanced textile automation methods. Through her roles, she blends theory with practice, producing tangible results in industrial applications and enriching her doctoral research with practical expertise.

Research Interest:

Dr. Jinzhu Shen’s research interests center on digitizing and automating garment production using cutting-edge technologies. Specifically, she explores the integration of soft robotics, artificial intelligence, and machine vision to optimize fabric manipulation, alignment, and sewing. Her studies address challenges in fabric variability, grasping precision, and real-time control within textile processes. By applying intelligent algorithms and robotic systems, Shen seeks to eliminate manual limitations and enhance automation efficiency. Her work not only advances garment manufacturing but also contributes broadly to the fields of intelligent robotics and industrial engineering, offering sustainable and innovative solutions for next-generation smart manufacturing systems.

Awards and Honors:

Dr. Jinzhu Shen’s academic and professional journey, Shen has been recognized with multiple scholarships, merit awards, and research prizes. She received honors for academic excellence during her undergraduate and master’s studies, reflecting her consistent dedication to learning. Her doctoral research has been supported by prestigious scholarships, highlighting her innovation in textile automation. Additionally, she earned recognition for presenting outstanding research at national apparel science and technology conferences, where her work on soft robotics and garment automation was distinguished. These accolades underline her strong scholarly potential, research excellence, and contributions to advancing both theory and industrial practice.

Publications:

Title: Research progress of automatic grasping methods for garment fabrics
Citation: 6
Year of Publications: 2023

Title: Automatic grasping technology and arrangement method for garment cutting pieces
Citation: 2
Year of Publications: 2023

Title: Arrangement of soft fingers for automatic grasping of fabric pieces of garment
Citation: 7
Year of Publications: 2022

Title: Grasping model of fabric cut pieces for robotic soft fingers
Citation: 17
Year of Publications: 2021

Title: Design and ergonomic evaluation of flexible rehabilitation gloves
Citation: 18
Year of Publications: 2020

Conclusion:

Dr. Jinzhu Shen represents an emerging leader in intelligent garment manufacturing and textile automation. Her academic excellence, industrial experience, and global collaborations highlight her as a strong candidate for recognition. Through her pioneering work in soft robotics and intelligent vision systems, she has contributed to bridging traditional craftsmanship with modern digital technologies. Her innovative publications, patents, and awards reflect both scientific merit and real-world impact. Shen’s profile embodies the qualities of a future-oriented researcher who is shaping the transformation of textile engineering and ensuring its sustainable evolution in the age of smart manufacturing.