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 Sicheng Wang | Smart Materials | Best Researcher Award

Mr Sicheng Wang, Beijing University of Posts and Telecommunications, China

Mr. Sicheng Wang, a graduate in Information and Computing Science from Beijing University of Posts and Telecommunications, excels in applying artificial intelligence and machine learning to energy systems. He has authored three notable papers, including one published in the SCI-indexed journal Computers and Electrical Engineering, focusing on spatio-temporal PV prediction. Recognized with multiple national awards, such as the Second Prize in Mathematical Modeling and the Bronze Award in Innovation Competitions, Mr. Wang showcases exceptional research and problem-solving skills. His work in energy management and smart grids highlights his vision for sustainable technology solutions. 🏆⚡📚

Academic Excellence 🎓📊

Mr. Sicheng Wang holds a degree in Information and Computing Science from Beijing University of Posts and Telecommunications, demonstrating a solid foundation in computational methods and data-driven research. His academic journey is distinguished by multiple prestigious awards, including the Second Prize in the National Undergraduate Mathematical Modeling Contest and the Bronze Award in the China International College Students’ Innovation Competition. These achievements reflect his exceptional analytical thinking, problem-solving abilities, and commitment to academic excellence. His dedication to applying advanced computational techniques makes him a standout in his field. 🏅🔬✨

Awards and Competitions 🏆📚

Mr. Sicheng Wang has earned multiple prestigious awards in national and provincial competitions, highlighting his excellence in innovation and problem-solving. In September 2023, he secured the Second Prize in the National Undergraduate Mathematical Modeling Contest. He later achieved the Bronze Award in the China International College Students’ Innovation Competition in September 2024. Additionally, he won the Third Prize in the National Undergraduate Computer Design Contest (June 2024) and the First Prize in the Beijing Division of the Innovation Competition (July 2024). His accolades also include a Second Prize in the National Undergraduate Mathematics Contest (October 2023). 🏅🔢✨

Academic Engagement 🎓💼

He has been actively engaged in advanced studies and research in Information and Computing Science, focusing on innovative applications of artificial intelligence and machine learning. His academic involvement includes participation in high-impact research projects and national competitions, showcasing his dedication to both theoretical and practical advancements in technology. His ongoing commitment to research and learning reflects his drive for excellence in the field of computing. 🧠🔬📊

Research Focus⚡🔬

Mr. Sicheng Wang’s research focuses on the application of artificial intelligence and machine learning in energy systems and smart grids. He has authored several high-impact papers, including a study on spatio-temporal PV prediction using a convolutional-based hybrid network, published in Computers and Electrical Engineering (SCI Q3, IF 4.0). His other notable works include an AI diagnostic model presented at AUTEEE 2023 and a multi-task learning framework for medium-term load forecasting accepted at APPEEC 2024. His research addresses critical challenges in energy prediction and management, contributing to sustainable technological advancements. 🧠📊⚡