Mr.Kai Wang | Automatic fiber placement award | Best Researcher Award

Mr. Kai Wang, Nanjing University of Aeronautics and Astronautics, China

Kai Wang is a Chinese researcher and academician with a keen interest in mechatronics, mathematics, and computer science. He was born on July 13th, 1993, in Liuan, China, and currently resides in Nanjing City.

Kai Wang’s academic journey began with his Bachelor’s degree in Mathematics from Northwest Normal University in Lanzhou, China, which he completed in 2012. He then pursued a Master’s degree in Mathematics from the same university, graduating in 2016. During his master’s studies, he likely developed a strong foundation in mathematical concepts and analytical thinking.

Building upon his mathematical background, Kai Wang furthered his education by pursuing a Ph.D. in Mechatronics at Nanjing University of Aeronautics and Astronautics, which he successfully completed in 2021. His doctoral research likely focused on the intersection of mechanical engineering, electronics, and computer science, exploring areas such as automatic fiber placement, computer-aided geometry design, and computer graphics

Professional Profiles:

Scopus

ORCID

📚 Educational Journey:

PhD in Mechatronics (2021): Nanjing University of Aeronautics and Astronautics, Nanjing, China. Dr. Wang’s doctoral research delved deep into the realm of automatic fiber placement, a critical aspect of modern manufacturing processes.
Masters in Mathematics (2016): Northwest Normal University, Lanzhou, China. Dr. Wang’s master’s studies honed his analytical prowess, providing a solid foundation for his subsequent ventures.
Bachelor in Mathematics (2012): Northwest Normal University, Lanzhou, China. Dr. Wang’s undergraduate tenure laid the groundwork for his illustrious academic career, fostering a deep appreciation for mathematical principles.

🔬 Scientific Interests:

Dr. Wang’s multifaceted scientific interests encompass a diverse array of domains, including:

Automatic Fiber Placement: At the forefront of advanced manufacturing techniques, Dr. Wang explores innovative methodologies to enhance the efficiency and precision of fiber placement processes.
Computer-Aided Geometry Design: Leveraging cutting-edge computational tools, Dr. Wang pioneers novel approaches to geometric modeling, facilitating the realization of complex designs with unparalleled accuracy.
Computer Graphics: Dr. Wang’s expertise in computer graphics transcends traditional boundaries, encompassing the development of immersive visual experiences and sophisticated rendering algorithms.
Mathematics: With a profound appreciation for the elegance and power of mathematical abstraction, Dr. Wang continuously seeks to unravel the mysteries of mathematical phenomena, applying rigorous methodologies to tackle real-world challenges.

🌆 Current Endeavors:

Residing in the vibrant city of Nanjing, Dr. Wang actively collaborates with leading institutions and industrial partners to push the boundaries of mechatronic innovation. Whether delving into the intricacies of automated manufacturing processes or harnessing the transformative potential of computational geometry, Dr. Wang remains steadfast in his commitment to advancing the frontiers of science and engineering.

With an indomitable spirit and a relentless pursuit of excellence, Dr. Kai Wang stands as a beacon of inspiration for aspiring researchers and innovators worldwide, propelling humanity towards a future defined by ingenuity and technological prowess.

Publication Top Notes:

Construction of G2 continuous curve on point-cloud surface

Design of Variable Stiffness Trajectories with Cubic Ferguson Curve

A general method of trajectory generation based on point-cloud structures in automatic fibre placement

Constructing continuous curves on point-cloud surfaces with Directed Projection Operator

Non uniform weighted cubic B-spline based on all positive basis

A new quasi cubic rational system with two parameters

Dr. Mahasweta Mandal | Printing and packaging Industry award |Best Researcher Award

Dr. Mahasweta Mandal, Jadavpur University, India

Dr. Mahasweta Mandal is a dedicated academician and researcher specializing in the field of Printing Engineering. She currently holds a position as an Assistant Professor in the Printing Engineering Department at Jadavpur University, Kolkata, where she has been contributing significantly since August 2015. Dr. Mandal’s educational background includes a Ph.D. from Jadavpur University, completed in 2021, where her doctoral research focused on “Studies On the Effect of Lightfastness and Waterfastness on Image Permanence of Prints.”

Her academic journey began with a Bachelor of Engineering (B.E.) in Printing Engineering from Jadavpur University in 2010, followed by a Master of Technology (M.Tech.) in Computer Technology from the same institution in 2014. Dr. Mandal’s expertise lies at the intersection of printing technology, image permanence, packaging materials, and quality control methods.

Professional Profiles

Education:

Ph.D. in Studies On the Effect of Lightfastness and Waterfastness on Image Permanence of Prints, Jadavpur University, 2021
M.Tech. in Computer Technology, Jadavpur University, 2014
B.E in Printing Engineering, Jadavpur University, 2010

Dissertation/Thesis:

Dr. Mahasweta Mandal’s research focuses on the effect of lightfastness and waterfastness on image permanence of prints, particularly in the context of packaging materials. Her work investigates how print stability and color quality change over time, especially in varied storage conditions like exposure to light, water, or deep freeze. Through her detailed studies, she aims to enhance the durability and authenticity of printed products, crucial in industries such as food packaging and medicine.

Professional Experience:

As an Assistant Professor at Jadavpur University since August 2015, Dr. Mandal has been actively involved in teaching undergraduate and postgraduate courses in Printing Engineering. She has mentored students in their research projects and theses, focusing on topics related to image permanence, printing processes, quality control, and color science. Her contributions extend to departmental committees and initiatives, ensuring a comprehensive and up-to-date curriculum.

Achievements:

Dr. Mandal has published 6 articles in reputable peer-reviewed journals, showcasing her expertise and contributions to the field of printing engineering. Her research interests span various aspects of printing and packaging, including investigating lightfastness and waterfastness of prints, improving printing processes’ efficiency and sustainability, and optimizing packaging materials’ performance and environmental impact.

Research Interests:

Investigating the lightfastness and waterfastness of prints to enhance durability and longevity.
Exploring Flexo and Gravure printing processes for improved efficiency and quality.
Researching package printing and quality control methods for high-quality packaging materials.
Studying packaging materials’ properties to optimize performance and reduce environmental impact.
Utilizing artificial intelligence, particularly artificial neural networks, for innovative approaches in printing and packaging processes.

Dr. Mahasweta Mandal’s dedication to academic excellence, coupled with her passion for research and teaching, positions her as a valuable asset in advancing the printing and packaging industry’s knowledge and practices.

Publication Top Notes:

Artificial neural network approach to predict the lightfastness of gravure prints on the plastic film

Study of the lightfastness properties of prints on blister foils by spectral reflectance

To predict the lightfastness of prints on foil applying artificial neural network