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

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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 🧠🧪. He earned his Ph.D. from Nanjing University and completed a postdoctoral fellowship at Tsinghua University 🎓🔬. His cutting-edge research uses density functional theory (DFT) to predict and design multiferroic and ferroelectric materials ⚛️📊. As a chief scientist for the NSFC 🇨🇳 and author of numerous high-impact publications and patents 📚📈, 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 🧲🧱.

Prof. Dr Haigen Gao, Panzhihua Univeristy, China

Profile

SCOPUS

🎓 Education

Prof. Haigen Gao holds a Ph.D. in Materials Science from Nanjing University, one of China’s premier institutions for scientific research 🧪🎓. 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 🌏🏛️. His academic training provided him with a strong foundation in theoretical modeling and materials design 🧠📘. This high-level education equipped him to lead innovative research in computational materials science and physical property prediction 🔬📈. Prof. Gao’s scholarly path reflects a blend of academic excellence and scientific ambition 🌟🧑‍🔬

💼 Experience

Prof. Haigen Gao is an accomplished materials scientist at Panzhihua University, with a strong academic and research background 🏫🔬. He earned his Ph.D. from Nanjing University and completed a prestigious postdoctoral fellowship at Tsinghua University, one of China’s top institutions 🎓🇨🇳. Currently, he serves as Chief Scientist on projects funded by the National Natural Science Foundation of China, leading innovative efforts in materials research 🧪🌍. His expertise centers on theoretical prediction and design of new materials and exploring their physical properties through advanced computational methods 🧠📊. Prof. Gao blends theory with application, driving discovery in modern materials science ⚙️💡.

🧲 Scientific Contributions

He has made significant advancements in 2D multiferroic materials by using density functional theory (DFT) to design stable structures based on BaTiO₃ ⚛️💡. 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 🔬🌀. The resulting magnetoelectric coupling coefficient exceeds 10 V/cm·Oe, outperforming traditional composite systems 📈🔋. These insights offer a promising route for next-generation multifunctional materials used in sensors, memory devices, and spintronics 🧠💾🔧.

🔬 Research Focus

The research focus centers on multiferroic and ferroelectric materials, which exhibit unique combinations of electric, magnetic, and structural properties 🔋🧲🧪. These materials play a crucial role in the development of next-generation memory devices, sensors, actuators, and energy harvesters 💾🎯⚡. The work involves understanding domain dynamics, phase transitions, and structure-property relationships at both nano and macro scales 🔍🔬. By integrating experimental techniques and theoretical modeling, the aim is to design smart, tunable materials for applications in electronics, spintronics, and green technologies 🖥️🔄🌱. This research contributes to advancing miniaturization and multifunctionality in modern electronic systems 📱💡.

📘 Publication

First-principles study on influences of surface and thickness on magnetic and ferroelectric properties of quasi-two-dimensional BaTiO₃ (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

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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 📊💻. She has qualified JRF (99.98 percentile), NET (twice), and WBSET (Rank 4), showcasing her academic brilliance 🎓📚. Lata has published in SSCI and SCOPUS Q1 journals and holds both a design and a utility patent related to fintech innovation 🔬📑. She actively presents at global conferences and co-authors interdisciplinary book chapters 🌐✍️. With a growing academic footprint and innovation-driven mindset, she exemplifies a future leader in finance research and technology integration 🚀📈.

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

Profile

SCOPUS

🎓 Education

Ms. Lata Kumari Pandey has maintained a strong academic record throughout her educational journey 🏆📚. She completed her 10th and 12th under the ICSE and ISC boards in Delhi with first-class distinction, scoring 79% and 82.66% respectively 📝🏫. 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 📊🎓. 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 🔍💼.

📚 Book Chapter

Ms. Lata Kumari Pandey has co-authored impactful book chapters that reflect her expertise in data analytics, behavioral finance, and financial technology 📈🔍. Her work includes a data mining-based analysis of customer reviews on payment apps published in a Springer Nature conference proceeding 💬📊, and a credit card fraud detection study using discriminant analysis presented at the K.J. Somaiya Business Analytics Conference 💳🧠. She also contributed to a BLOOMSBURY publication examining heuristics and herding behavior in millennial investment decisions 🧑‍💼💡. These interdisciplinary contributions highlight her academic versatility and real-world relevance in finance and technology 📘🌐.

🎤 Conference Presentations

Ms. Lata Kumari Pandey has presented eight impactful research papers at prominent national and international conferences 🧠🌍. Her presentations span topics such as credit card fraud detection, digital payment adoption, influence of YouTube on investments, and WhatsApp Pay awareness 💳📱. These include conferences hosted by IIIT Allahabad, IIT Guwahati, Manipur University, and Pacific University, and publications through IEEE Xplore and Springer 🎓📊. 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 🔍💡.

🛡️ Innovation and Patent

Ms. Lata Kumari Pandey has demonstrated strong innovative capabilities through her contributions to two cutting-edge patents in the fintech domain 🧠💳. 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 📲🔗. 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) 🤖🔐. These patents highlight her applied research excellence and vision for secure, tech-integrated financial ecosystems 🚀💼.

🔬 Research Focus

Ms. Lata Kumari Pandey’s research centers on behavioral finance, fintech adoption, and digital payment technologies 📱💹. 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 💡📈. She uses both qualitative and quantitative approaches, including social network analysis and systematic literature reviews, to study user behavior and digital finance ecosystems 🔍🧠. 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 🌐💳.

📘 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 ‘C’ 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)
📱🔍👥

 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)
📺📈🎯

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’)
📖💳🧾

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)
🔗📡📊

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)
🪙💡📉

Mr Satish Chaurasia | Shape Memory Alloys | Best Researcher Award

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Mr Satish Chaurasia | Shape Memory Alloys | Best Researcher Award

Mr SATISH CHAURASIA, NIT Meghalaya, India 

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. 🛠️💡💉🌱

Publication Profile

GoogleScholar

Orcid

Academic and Professional Background🎓

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. 🎓🔧💡🌱

Research Focus Area 🌱🧬

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. ⚙️🌱🔬🤖

Publication Top Notes📄✨

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 Chaurasia’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.