Assoc. Prof. Dr Yu-Hsiang Hsu | Smart Materials | Best Researcher Award

Assoc. Prof. Dr Yu-Hsiang Hsu | Smart Materials | Best Researcher Award

Assoc. Prof. Dr. Yu-Hsiang Hsu is a leading researcher at National Taiwan University ๐Ÿ‡น๐Ÿ‡ผ specializing in biomedical engineering, microfluidics, and wearable technology ๐Ÿง ๐Ÿฉบ๐Ÿ‘•. He heads the Microphysiological System & Smart Wearables Lab, focusing on organ-on-chip systems ๐Ÿงช and piezoelectric fiber sensors for non-invasive health monitoring ๐Ÿ’“๐Ÿ“ˆ. With a Ph.D. from UC Irvine and postdoctoral experience at Caltech, Dr. Hsu has published 30+ high-impact papers ๐Ÿ“š and holds 24 patents ๐Ÿงพ. His interdisciplinary innovations bridge medicine, engineering, and materials scienceโ€”making him a global contributor to next-gen health technologies ๐ŸŒ๐Ÿ’ก.

Assoc. Prof. Dr Yu-Hsiang Hsu, National Taiwan University, Taiwan

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๐ŸŽ“ Education

Dr. Yu-Hsiang Hsu holds a Ph.D. in Biomedical Engineering ๐Ÿง ๐Ÿ”ง and a Masterโ€™s in the same field from the University of California, Irvine ๐Ÿ‡บ๐Ÿ‡ธ. He also earned dual degrees from National Taiwan University ๐Ÿ‡น๐Ÿ‡ผ, with a B.Sc. in Mechanical Engineering โš™๏ธ and a Masterโ€™s in Applied Mechanics ๐Ÿ“. His interdisciplinary academic journey bridges engineering, medicine, and microtechnology, laying a strong foundation for his innovations in organ-on-chip and wearable sensor systems. With global academic exposure and cross-disciplinary depth, Dr. Hsu exemplifies a scholar trained to solve real-world health and technology challenges through integrated education ๐ŸŒ๐ŸŽ“๐Ÿงช.

๐Ÿ‘จโ€๐Ÿซ Experience

Assoc. Prof. Dr. Yu-Hsiang Hsu has been with National Taiwan University (NTU) since 2013, initially as an Assistant Professor and later promoted to Associate Professor in 2019 ๐Ÿ‘จโ€๐Ÿซ๐ŸŽ“. At NTUโ€™s Institute of Applied Mechanics, he leads the Microphysiological System & Smart Wearables Lab, driving innovation in organ-on-chip platforms and flexible biosensors ๐Ÿงฌ๐Ÿ“ก. His work merges biomedical engineering with real-world applications in health monitoring and drug testing. With over a decade of academic leadership, he has mentored students, collaborated globally, and secured 24 patents for his pioneering biomedical technologies ๐Ÿ”ฌ๐ŸŒ๐Ÿงพ.

โš™๏ธ Smart Systems Research

Assoc. Prof. Dr. Yu-Hsiang Hsu has made pioneering contributions to smart systems, particularly in piezoelectric-driven technologies for biomedical and precision applications. His research includes the development of 2D piezoelectric traveling-wave generators ๐Ÿ”„, miniature pumps for medical use ๐Ÿ’‰, and ultrasonic micro-droplet generators ๐ŸŒŠ๐Ÿ’ง. Innovations like the multi-integer frequency two-mode (MIF-TM) method and gated two-frequency motorization enhance control and performance in smart actuators and sensors ๐Ÿ“ˆ. Published in top journals like Smart Materials and Structures and Sensors and Actuators, Dr. Hsuโ€™s work bridges mechanical design, microfluidics, and biomedical engineering seamlessly for next-gen health tech โš™๏ธ๐Ÿฉบ.

๐Ÿ”ฌ Research Focusย 

Dr. Yu-Hsiang Hsuโ€™s research bridges biomedical engineering, mechanics, and smart materials to advance wearable health technology and organ-on-chip systems ๐Ÿฉบ๐Ÿ”ฌ. His work includes developing ultra-compliant piezoelectric fiber sensors for monitoring muscle activity, fatigue, and swallowing dynamics ๐Ÿ’ช๐Ÿ‘…, as well as creating microfluidic tumor models and cardiac tissues-on-chip for drug screening and disease modeling ๐Ÿงฌ๐Ÿซ€. He explores how mechanical signals govern cell behavior and tissue function, leveraging precision engineering for non-invasive diagnostics and physiological simulation โš™๏ธ๐Ÿงซ. His innovations are enabling smarter, more responsive tools for healthcare and biomedical research ๐ŸŒ๐Ÿ’ก.

๐Ÿ“š Publications

An ultra-compliant P(VDF-TrFE) fiber-based muscle patch sensor for a new wearable application: Monitoring muscle activities and fatigue through the peripheral length of a muscle’s physiological cross-sectional area
Authors: Yu-Hsiang Hsu et al.
Journal: Sensors and Actuators A: Physical (2025)

A piezoelectric swallow patch sensor and its correlation to the physiological swallowing processes
Authors: Yu-Hsiang Hsu et al.
Journal: Smart Materials and Structures (2025)

Spatially controlled diffusion range of tumor-associated angiogenic factors to develop a tumor model using a microfluidic resistive circuit
Authors: Yu-Hsiang Hsu et al.
Journal: Lab on a Chip (2024)

Regional activation of a composite plate using selective actuation from multiple piezoelectric actuators
Authors: Yu-Hsiang Hsu et al.
Conference: Engineering Conference Presentation

Study on the coupling effect of a plate-type piezoelectric vibrator and a polymer-based rod array
Authors: Yu-Hsiang Hsu et al.
Conference: Engineering Conference Presentation

Design and Development of a Miniature Self-propelled Ultrasonic Piezoelectric Plate Motor
Authors: Yu-Hsiang Hsu et al.
Conference: Robotics/MEMS Conference

Precision Control of a Multi-Axis Robotic Arm Using Sliding Mode Control with PID Control Method
Authors: Yu-Hsiang Hsu et al.
Conference: Control Engineering Symposium

Control of a multi-direction piezoelectric linear motor using a gyroscopic feedback control
Authors: Yu-Hsiang Hsu et al.
Conference: Mechatronics/Control Conference

Prof. Dr Haigen Gao | Functional Materials | Best Researcher Award

Prof. Dr Haigen Gao | Functional Materials | Best Researcher Award

Prof. Dr. Haigen Gao is a renowned materials scientist at Panzhihua University, China, specializing in computational materials science ๐Ÿง ๐Ÿงช. He earned his Ph.D. from Nanjing University and completed a postdoctoral fellowship at Tsinghua University ๐ŸŽ“๐Ÿ”ฌ. His cutting-edge research uses density functional theory (DFT) to predict and design multiferroic and ferroelectric materials โš›๏ธ๐Ÿ“Š. As a chief scientist for the NSFC ๐Ÿ‡จ๐Ÿ‡ณ and author of numerous high-impact publications and patents ๐Ÿ“š๐Ÿ“ˆ, Prof. Gao combines theoretical depth with real-world application. His work plays a pivotal role in the development of advanced functional materials for next-generation technologies ๐Ÿงฒ๐Ÿงฑ.

Prof. Dr Haigen Gao, Panzhihua Univeristy, China

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๐ŸŽ“ Education

Prof. Haigen Gao holds a Ph.D. in Materials Science from Nanjing University, one of Chinaโ€™s premier institutions for scientific research ๐Ÿงช๐ŸŽ“. Following his doctoral studies, he completed a prestigious postdoctoral fellowship at Tsinghua University, widely recognized as one of the top engineering universities in the world ๐ŸŒ๐Ÿ›๏ธ. His academic training provided him with a strong foundation in theoretical modeling and materials design ๐Ÿง ๐Ÿ“˜. This high-level education equipped him to lead innovative research in computational materials science and physical property prediction ๐Ÿ”ฌ๐Ÿ“ˆ. Prof. Gaoโ€™s scholarly path reflects a blend of academic excellence and scientific ambition ๐ŸŒŸ๐Ÿง‘โ€๐Ÿ”ฌ

๐Ÿ’ผ Experience

Prof. Haigen Gao is an accomplished materials scientist at Panzhihua University, with a strong academic and research background ๐Ÿซ๐Ÿ”ฌ. He earned his Ph.D. from Nanjing University and completed a prestigious postdoctoral fellowship at Tsinghua University, one of Chinaโ€™s top institutions ๐ŸŽ“๐Ÿ‡จ๐Ÿ‡ณ. Currently, he serves as Chief Scientist on projects funded by the National Natural Science Foundation of China, leading innovative efforts in materials research ๐Ÿงช๐ŸŒ. His expertise centers on theoretical prediction and design of new materials and exploring their physical properties through advanced computational methods ๐Ÿง ๐Ÿ“Š. Prof. Gao blends theory with application, driving discovery in modern materials science โš™๏ธ๐Ÿ’ก.

๐Ÿงฒ Scientific Contributions

He has made significant advancements in 2D multiferroic materials by using density functional theory (DFT) to design stable structures based on BaTiOโ‚ƒ โš›๏ธ๐Ÿ’ก. His work revealed that Ni substitution at Ti sites can effectively induce strong coupling between electric and spin orders, overcoming limitations from Ba site distortion and experimental challenges with Ti site replacements ๐Ÿ”ฌ๐ŸŒ€. The resulting magnetoelectric coupling coefficient exceeds 10 V/cmยทOe, outperforming traditional composite systems ๐Ÿ“ˆ๐Ÿ”‹. These insights offer a promising route for next-generation multifunctional materials used in sensors, memory devices, and spintronics ๐Ÿง ๐Ÿ’พ๐Ÿ”ง.

๐Ÿ”ฌ Research Focus

The research focus centers on multiferroic and ferroelectric materials, which exhibit unique combinations of electric, magnetic, and structural properties ๐Ÿ”‹๐Ÿงฒ๐Ÿงช. These materials play a crucial role in the development of next-generation memory devices, sensors, actuators, and energy harvesters ๐Ÿ’พ๐ŸŽฏโšก. The work involves understanding domain dynamics, phase transitions, and structure-property relationships at both nano and macro scales ๐Ÿ”๐Ÿ”ฌ. By integrating experimental techniques and theoretical modeling, the aim is to design smart, tunable materials for applications in electronics, spintronics, and green technologies ๐Ÿ–ฅ๏ธ๐Ÿ”„๐ŸŒฑ. This research contributes to advancing miniaturization and multifunctionality in modern electronic systems ๐Ÿ“ฑ๐Ÿ’ก.

๐Ÿ“˜ Publication

First-principles study on influences of surface and thickness on magnetic and ferroelectric properties of quasi-two-dimensional BaTiOโ‚ƒ (001) ultrathin film doped with Ni at Ti site

Authors:
H. Gao, Haigen
C. Hu, Chaofan

Journal:
Surfaces and Interfaces, 2025

Lata Kumari Pandey | Smart Materials | Best Researcher Award

Lata Kumari Pandey | Smart Materials | Best Researcher Award

Ms. Lata Kumari Pandey is a passionate Ph.D. research scholar at IIIT Allahabad specializing in behavioral finance, fintech, and digital payment systems ๐Ÿ“Š๐Ÿ’ป. She has qualified JRF (99.98 percentile), NET (twice), and WBSET (Rank 4), showcasing her academic brilliance ๐ŸŽ“๐Ÿ“š. Lata has published in SSCI and SCOPUS Q1 journals and holds both a design and a utility patent related to fintech innovation ๐Ÿ”ฌ๐Ÿ“‘. She actively presents at global conferences and co-authors interdisciplinary book chapters ๐ŸŒโœ๏ธ. With a growing academic footprint and innovation-driven mindset, she exemplifies a future leader in finance research and technology integration ๐Ÿš€๐Ÿ“ˆ.

Ms Lata Kumari Pandey, Indian Institute of Information Technology, Allahabad, India

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๐ŸŽ“ Education

Ms. Lata Kumari Pandey has maintained a strong academic record throughout her educational journey ๐Ÿ†๐Ÿ“š. She completed her 10th and 12th under the ICSE and ISC boards in Delhi with first-class distinction, scoring 79% and 82.66% respectively ๐Ÿ“๐Ÿซ. She earned her B.Com (Hons) from Burdwan University with 68.99% and an M.Com from Kazi Nazrul Islam University with 78.81%, both in first class ๐Ÿ“Š๐ŸŽ“. Currently, she is pursuing her Ph.D. in Management Studies at the prestigious Indian Institute of Information Technology Allahabad, focusing on digital finance and behavioral economics ๐Ÿ”๐Ÿ’ผ.

๐Ÿ“š Book Chapter

Ms. Lata Kumari Pandey has co-authored impactful book chapters that reflect her expertise in data analytics, behavioral finance, and financial technology ๐Ÿ“ˆ๐Ÿ”. Her work includes a data mining-based analysis of customer reviews on payment apps published in a Springer Nature conference proceeding ๐Ÿ’ฌ๐Ÿ“Š, and a credit card fraud detection study using discriminant analysis presented at the K.J. Somaiya Business Analytics Conference ๐Ÿ’ณ๐Ÿง . She also contributed to a BLOOMSBURY publication examining heuristics and herding behavior in millennial investment decisions ๐Ÿง‘โ€๐Ÿ’ผ๐Ÿ’ก. These interdisciplinary contributions highlight her academic versatility and real-world relevance in finance and technology ๐Ÿ“˜๐ŸŒ.

๐ŸŽค Conference Presentations

Ms. Lata Kumari Pandey has presented eight impactful research papers at prominent national and international conferences ๐Ÿง ๐ŸŒ. Her presentations span topics such as credit card fraud detection, digital payment adoption, influence of YouTube on investments, and WhatsApp Pay awareness ๐Ÿ’ณ๐Ÿ“ฑ. These include conferences hosted by IIIT Allahabad, IIT Guwahati, Manipur University, and Pacific University, and publications through IEEE Xplore and Springer ๐ŸŽ“๐Ÿ“Š. Her work highlights innovation in behavioral finance and fintech, reflecting her strong communication skills and scholarly engagement with cutting-edge themes in finance and digital technology ๐Ÿ”๐Ÿ’ก.

๐Ÿ›ก๏ธ Innovation and Patent

Ms. Lata Kumari Pandey has demonstrated strong innovative capabilities through her contributions to two cutting-edge patents in the fintech domain ๐Ÿง ๐Ÿ’ณ. She is a co-inventor of a Design Patent titled Social Media Payment Platform Integration Device (2025), aimed at seamless financial transactions via social media platforms ๐Ÿ“ฒ๐Ÿ”—. She also co-authored a Utility Patent, Multi-Platform Social Media and Payment Integration Hub with Advanced Security Features and AI-Driven Fraud Detection (2025, Application No. 202411077943 A) ๐Ÿค–๐Ÿ”. These patents highlight her applied research excellence and vision for secure, tech-integrated financial ecosystems ๐Ÿš€๐Ÿ’ผ.

๐Ÿ”ฌ Research Focus

Ms. Lata Kumari Pandeyโ€™s research centers on behavioral finance, fintech adoption, and digital payment technologies ๐Ÿ“ฑ๐Ÿ’น. Her work explores how individuals perceive risk in cryptocurrency, adopt social media payment platforms, and respond to fintech innovations like e-gold and influencer-driven investments ๐Ÿ’ก๐Ÿ“ˆ. She uses both qualitative and quantitative approaches, including social network analysis and systematic literature reviews, to study user behavior and digital finance ecosystems ๐Ÿ”๐Ÿง . Publishing in top-tier SSCI and SCOPUS Q1 journals, her research contributes to understanding modern financial behaviors, digital trust, and the evolving relationship between technology and financial decision-making ๐ŸŒ๐Ÿ’ณ.

๐Ÿ“˜ Publications

Factor Affecting the Risk Perception of Cryptocurrency Investor
Authors: Bhattacharjee Jayshree, Pandey Lata Kumari, Singh Ranjit, Baker H. Kent
Journal: Journal of Behavioral Finance (SSCI, ABDC ‘A’, SCOPUS Q1, IF-1.7)

Measuring Awareness about Mutual Funds: A Study on Bank Employees in Tripura
Authors: Deb Sujit, Singh Ranjit, Pandey Lata Kumari, Yadav Vibha, Deb Sankha Subhra
Journal: International Journal of Accounting & Finance Review (ABDC โ€˜Cโ€™ Category)

Unravelling the Determinants of Social Media Payment Platform (SMPP) Usage: A Qualitative Study on User Intention and Adoption
Authors: Pandey Lata Kumari, Bhattacharjee Jayshree, Singh Ranjit, Singh Ambrish
Journal: Bangladesh Journal of Multidisciplinary Scientific Research (SCOPUS Q3)
๐Ÿ“ฑ๐Ÿ”๐Ÿ‘ฅ

ย Beyond the Screen: How YouTube Influencers Shape Equity Investment Decisions
Authors: Pandey Lata Kumari, Singh Ranjit, Baker H. Kent, Rahman Habibur Laskar
Journal: Journal of Theoretical and Applied Electronic Commerce Research (SSCI, ABDC ‘B’, SCOPUS Q1, IF-5.6)
๐Ÿ“บ๐Ÿ“ˆ๐ŸŽฏ

Adopting Social Media Payment Platforms: A Systematic Literature Review and Future Research Agenda
Authors: Pandey Lata Kumari, Singh Ranjit, Singh Ambrish
Journal: Academy of Marketing Studies Journal (ABDC ‘B’)
๐Ÿ“–๐Ÿ’ณ๐Ÿงพ

Factor Affecting Social Media Payment Platforms: A Social Network Analysis Approach
Authors: Pandey Lata Kumari, Singh Ranjit, Baker H. Kent, Singh Ambrish
Journal: Journal of Service Theory and Practice (ABDC ‘A’, SSCI, SCOPUS Q1, IF-4.9)
๐Ÿ”—๐Ÿ“ก๐Ÿ“Š

Fintech Adoption and Dispositional Innovativeness in E-Gold Investment: Evidence from India
Authors: Pandey Lata Kumari, Bhattacharjee Jayshree, Singh Ranjit, Baker H. Kent, Rohit Kumar Sharma
Journal: Journal of Theoretical and Applied Electronic Commerce Research (SSCI, ABDC ‘B’, SCOPUS Q1, IF-5.6)
๐Ÿช™๐Ÿ’ก๐Ÿ“‰

Mr Satish Chaurasia | Shape Memory Alloys | Best Researcher Award

Mr Satish Chaurasia | Shape Memory Alloys | Best Researcher Award

Mr SATISH CHAURASIA, NIT Meghalaya, Indiaย 

Mr. Satish Chaurasia is a Ph.D. candidate in Advanced Manufacturing Technologies at the National Institute of Technology, Meghalaya. His research focuses on Micro-EDM machining of Nitinol Shape Memory Alloys (SMA) using bio-based dielectrics, aiming to optimize machining processes for medical applications. His work integrates Artificial Neural Networks (ANN) and Genetic Algorithms (GA) for predictive modeling, ensuring efficiency and reproducibility. Mr. Chaurasia has published in prestigious journals and is known for his contributions to biocompatibility testing, including cytotoxicity and hemocompatibility studies. His innovative research in sustainable, bio-grade materials and manufacturing processes positions him as a leader in the field. ๐Ÿ› ๏ธ๐Ÿ’ก๐Ÿ’‰๐ŸŒฑ

Publication Profile

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Academic and Professional Background๐ŸŽ“

Mr. Satish Chaurasia is currently pursuing a Ph.D. in Advanced Manufacturing Technologies at the National Institute of Technology, Meghalaya, with a focus on Micro-EDM machining of Nitinol Shape Memory Alloys (SMA) using bio-based dielectrics. His research aims to optimize machining processes for medical applications, using sustainable materials to reduce environmental impact. He holds an M.Tech in Mechanical Engineering from Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India. His academic background, combined with his innovative research in non-traditional machining, positions him as a promising leader in advanced manufacturing and medical device development. ๐ŸŽ“๐Ÿ”ง๐Ÿ’ก๐ŸŒฑ

Research Focus Area ๐ŸŒฑ๐Ÿงฌ

Mr. Satish Chaurasia’s research interests are focused on the micro-EDM machining of bio-grade materials, particularly Nitinol Shape Memory Alloys (SMA), which are essential for medical devices. He explores the use of bio-based dielectrics, such as sesame and canola oils, to optimize machining processes while minimizing environmental impact. His work involves process parameter optimization, including factors like tool rotation, voltage, and pulse duration. Additionally, he conducts surface morphology and biocompatibility analyses to ensure performance and safety. Mr. Chaurasia also leverages Artificial Neural Networks (ANN) and Genetic Algorithms (GA) for predictive modeling to enhance machining efficiency. โš™๏ธ๐ŸŒฑ๐Ÿ”ฌ๐Ÿค–

Publication Top Notes๐Ÿ“„โœจ

Self-similar solution for the flow behind an exponential shock wave in a rotational axisymmetric non-ideal gas with magnetic field

On the blast wave propagation and structure in a rotational axisymmetric perfect gas

Exact solution for isothermal flow behind a shock wave in a self-gravitating gas of variable density in an azimuthal magnetic field

Optimization of Kerf Width in WEDM of Sandwich Woven CFRP-An Ensemble Machine Learning Based Approach

A novel investigation on rotary tool-assisted electrical discharge-micro drilling of carbon-aramid hybrid composite

Modelling, Measurement and Control B

Powder mixed micro-electric discharge milling of Ni-rich NiTi SMA: an investigation on machining performance and biocompatibility

Electrical discharge machining of super alloy incoloy 925: a study based on box behnken design and response surface methodology

Hybrid Electro Discharge Machining Process Investigation: A review

Conclusion

Mr. Satish Chaurasiaโ€™s cutting-edge research in non-traditional machining, his focus on sustainable, bio-based materials for medical applications, and his use of advanced machine learning techniques for process optimization makes him an excellent candidate for the Best Researcher Award. His research not only pushes the boundaries of manufacturing technology but also addresses the pressing need for environmentally friendly, biocompatible solutions in the medical field.