Xinyu Liu | Development | Research Excellence Award

Dr. Xinyu Liu | Development | Research Excellence Award 

Dr. Xinyu Liu | Peking university | China

Dr. Xinyu Liu earned a Ph.D. in Management (Agricultural Economics and Management) from Peking University in 2023, with a dissertation on the impact of E-commerce on sales and consumption behavior of rural residents under the supervision of Prof. Jikun Huang, and a B.E. in Economics from the Southwestern University of Finance and Economics, supervised by Prof. Zekai He. Her research spans microeconomics, development economics, and finance, focusing on e-commerce, consumption, entrepreneurship, housing demolition, and cross-shareholding phenomena in China. She has practical research experience leading the China Rural Revitalization Strategic Data Platform project and participating in studies on smart agriculture and rural E-commerce development. She held postdoctoral appointments at China International Capital Corporation (CICC) Global Institute–Fudan University (2023–2025, cross-shareholding and firm innovation) and was a short-term consultant at the World Bank on fertility preference (2024). Dr. Liu has presented at numerous national and international conferences, including the ASAE 2021 (Best Paper Award) and the Peking University Modern Agriculture Doctoral Student Forum (Best Report Award). She has contributed to research reports on AI economics, embodied intelligent investment, and government auction fund mechanisms for emerging industries. Her work has been recognized with multiple awards, including the Peking University Second-Class Scholarship for Doctoral Students in Modern Agriculture (2022), YingWenTe Scholarship First Prize (2020), and the National Scholarship (2017), among others. She has 5 citations across 2 documents and holds an h-index of 2, reflecting her emerging influence in development economics, e-commerce, and policy-relevant research in China.

Profile: Scopus 

Featured Publications

Liu, X., Li, S., Huang, J., & Xiao, H. (2025). Transforming consumption: How E‑commerce reshape online shopping behavior and household spending. China Economic Review, 92, 102444. https://doi.org/10.1016/j.chieco.2025.10244

 

Vaibhav Mishra | Technology Management | Best Researcher Award 

Dr. Vaibhav Mishra | Technology Management | Best Researcher Award 

Associate Professor at ICFAI Business School (IBS) Hyderabad, India

Dr. Vaibhav Mishra is an accomplished academic and researcher with expertise in management, information systems, digital transformation, and consumer behavior. He earned his Ph.D. from the Indian Institute of Information Technology Allahabad (2011–2017), an MBA in IT & Operations from IIIT Allahabad (2009–2011), and a B.Tech from Uttar Pradesh Technical University (2005–2009). He has been serving as an Associate Professor at IBS Hyderabad since January 2023, after working as Assistant Professor at IBS Hyderabad (2017–2022) and SRM University, Uttar Pradesh (2014–2017). Over his career, he has actively contributed to international and national conferences including IIM Kozhikode, IIM Nagpur, IIM Raipur, SPJIMR Mumbai, Osmania University, and IMT Hyderabad, with several papers presented between 2018 and 2023, some earning recognition such as the “Best Conference Paper” Award at the IIM Kozhikode Conclave on Globalizing Indian Thought in 2021. His scholarly output includes more than 20 peer-reviewed journal articles, with publications in SCOPUS, Web of Science, and ABDC-ranked journals such as the Journal of Intelligent & Fuzzy Systems (SCI), American Business Review (ABDC A), Pacific Asia Journal of AIS (ABDC B), International Journal of Economics and Business Research, and Asian Journal of Management Cases. His work spans diverse themes such as blockchain, e-business, cloud computing, consumer motivation, green products, e-waste management, and mobile payments. Dr. Mishra has also authored and edited multiple books and book chapters with reputed publishers including CRC Press (Taylor & Francis), Springer, Cengage, and IUP Publications, with titles such as Artificial Intelligence and Machine Learning in Business Management (2021, CRC Press), Recent Advances in Blockchain Technology (2023, Springer), and Introduction to Information Technology (2020, Cengage). He has contributed to specialized topics like CRM, blockchain applications, and customer relationship management in digital platforms. In addition, he has taken on editorial responsibilities as Guest Editor for special issues such as International Journal of Electronic Government Research (Scopus, WoS, ABDC-C). Beyond publishing, he has organized and convened academic events including the 4th International Conference on Operations Management (ICOM 2022), co-organized MDPs on disaster risk reduction in collaboration with the National Institute of Disaster Management, and delivered keynote lectures and training workshops, including a session on regression with Python at Banaras Hindu University. He has participated in several Faculty Development Programs hosted by premier institutions such as ISB Hyderabad, AICTE, IBS Hyderabad, and KG Somaiya. With a growing body of impactful research, Dr. Mishra has accumulated over 250 citations, an h-index of 8, and an i10-index of 6 (Google Scholar), reflecting the relevance of his scholarship in management and digital innovation. His academic contributions demonstrate a consistent commitment to advancing research in digital ecosystems, sustainable business practices, consumer insights, and emerging technologies, thereby bridging academic knowledge and real-world business applications.

Profiles: Scopus Orcid Google Scholar 

Featured Publications

Agarwal, P., Sahai, M., Mishra, V., Bag, M., & Singh, V. (2011). A review of multi-criteria decision making techniques for supplier evaluation and selection. International Journal of Industrial Engineering Computations, 2(4), 294–318.

Mishra, V., & Singh, V. (2015). Selection of appropriate electronic banking channel alternative: Critical analysis using analytical hierarchy process. International Journal of Bank Marketing, 33(3), 223–242.

Agarwal, P., Sahai, M., Mishra, V., Bag, M., & Singh, V. (2014). Supplier selection in dynamic environment using analytic hierarchy process. International Journal of Information Engineering and Electronic Business, 6(4), 26–33.

Panda, S. K., Mishra, V., Balamurali, R., & Elngar, A. A. (2021). Artificial intelligence and machine learning in business management: Concepts, challenges, and case studies. CRC Press.

Panda, S. K., Mishra, V., Dash, S. P., & Pani, A. K. (2023). Recent advances in blockchain technology: Real-world applications. Springer Nature.

Tripathi, S., & Mishra, V. (2019). Determinants of cloud computing adoption: A comparative study. Pacific Asia Journal of the Association for Information Systems, 11(3), 3–34.

Tewary, T., Gupta, A., Mishra, V., & Kumar, J. (2021). Young working women's purchase intention towards organic cosmetic products. International Journal of Economics and Business Research, 22(2–3), 256–277.

Dr. Hengyu Zhang | Materials Science | Best Researcher Award

Dr. Hengyu Zhang | Materials Science | Best Researcher Award

Soochow University, China.

Dr. Hengyu Zhang (张恒宇), is a passionate Chinese researcher specializing in thermal management and electromagnetic functional textile materials. With a strong academic foundation in textile engineering and chemistry, he is currently serving as a postdoctoral fellow at Soochow University. Dr. Zhang's research bridges innovation and application, particularly in the development of advanced textiles using supercritical processes and electromagnetic functionalities. His work has been widely recognized through awards, publications, and patents.

Profile

Google Scholar

🎓 Education

Dr. Hengyu Zhang holds a solid academic background in textile science and engineering. He is currently serving as a Postdoctoral Fellow in Textile Chemistry and Dyeing & Finishing at Soochow University, Suzhou, China (April 2024–Present). Prior to this, he earned his Ph.D. in Textile Materials and Textile Design from Donghua University, Shanghai, China (September 2018–March 2024). His academic journey began with a B.Sc. in Textile Engineering from Qingdao University, Qingdao, China (September 2014–June 2018). This progression reflects his deepening expertise in textile research and innovation, with a strong foundation in both theoretical and applied aspects of textile science.

💼 Experience

Currently a Postdoctoral Fellow at Soochow University, Dr. Zhang previously completed his Ph.D. at Donghua University, one of China's leading textile research institutions. Throughout his academic career, he actively participated in multiple research projects, including those funded by the National Natural Science Foundation of China and Donghua University's Graduate Innovation Fund. His practical experience also includes work on advanced instruments such as SEM, FTIR, and XRD, alongside simulation tools like CST.

🔬 Research Interests

Dr. Zhang’s primary research interests include:

👕 Thermal management textile materials developed using supercritical processes

📡 Electromagnetic functional textiles for wave absorption, shielding, and stealth applications

🧪 Composite materials and nanoarchitectures for multifunctional smart fabrics

📐 Frequency-selective surfaces and gradient impedance structures

🏅 Awards & Honors

🥇 National Scholarship – Sep 2023

🧵 First Prize, China Textile Industry Federation Science & Tech Award – Aug 2023

🎤 Outstanding Reporter, Shanghai Intl. Textile Graduate Summer School – Jul 2023

🥈 Silver Award, 9th China Intl. "Internet +" Innovation Competition

🗣️ Outstanding Oral Report, 2nd Textile Graduate Forum – Apr 2023

📝 Finalist, 23rd Chen Weiji Outstanding Paper Award – Mar 2023

💰 Comprehensive Scholarship, Donghua University – Sep 2022

🏆 22nd Chen Weiji Excellent Paper Award – Oct 2021

📚 Selected Publications

Here’s a selection of Dr. Hengyu Zhang’s representative research works:

Zhang, H.Y. et al. (2024). MXene/PPy electromagnetic wave absorbing felt with impedance continuous gradient structure prepared by freezing interface polymerization. ACS Applied Nano Materials, 7(1), 1289–1399.

Zhang, H.Y. et al. (2023). Frequency-selective/impedance gradient MXene/PPy nanocomposite polyester felt. Composites Part A, 175, 107776.

Zhang, H.Y. et al. (2022). Nanoarchitectonics of MXene/PPy/polyester composite fabric. Composites Part A, 163, 107163.

Zhang, H.Y. et al. (2022). Washable conductive cotton yarn using MXene coating. Industrial Crops and Products, 188, 115653.

Zhang, H.Y. et al. (2022). Multilayer flexible EMI shielding fabric. Textile Research Journal, 92(5-6), 851–859.

Mr. Hussm Rostum | Computer Science | Best Researcher Award

Mr. Hussm Rostum | Computer Science | Best Researcher Award

Miskolc University, Institute of Automation and Info-communication, Hungary.

Hussam Rostum is a PhD candidate and researcher at the University of Miskolc in Hungary, specializing in computer vision for autonomous drone navigation. With a strong background in telecommunications and electronics, he blends academic excellence with hands-on experience as a part-time software engineer at FIEK. Hussam is known for developing cutting-edge solutions in industrial automation, biomedical imaging, and human–machine interfaces. Fluent in Arabic and English, he brings international insight into interdisciplinary research projects, merging software innovation with engineering systems.

Profile

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Orcid
Google Scholar

🎓 Education

Hussam holds a BSc and MSc in Telecommunication and Electronic Engineering, equipping him with deep theoretical and practical knowledge in signal processing, system design, and electronics. Currently, he is pursuing a PhD in Information Science at the University of Miskolc, focusing on AI-based vision systems for autonomous drone operations.

💼 Experience

Hussam serves as an Assistant Researcher and Part-time Software Engineer at FIEK, where he builds C# monitoring software, implements PLC-to-PC communications, and automates data workflows using Linux, Docker, and Excel. His professional journey includes work as a Full Stack Developer and Telecom Engineer, with experience in GUI development, DevOps collaboration, and .NET technologies.

🔬 Research Interests

📸 Computer Vision & Image Processing

🤖 Autonomous Systems & Drone Navigation

🩺 Biomedical Imaging & Oxygen Saturation Estimation

🔬 Optical System Design (Zemax)

⚙️ Industrial Automation & Data Visualization

🧠 Human–Machine Interfaces & Sensor Integration

📚 Selected Publications

Enhancing Machine Learning Techniques in VSLAM for Robust Autonomous Unmanned Aerial Vehicle Navigation
📅 2025-04-02 | 📰 Electronics
📌 Focus: Improving Visual SLAM with machine learning for UAVs in complex environments.
🔗 DOI: 10.3390/electronics14071440
👥 Co-author: József Vásárhelyi

Comparing the Effectiveness and Performance of Image Processing Algorithms in Face Recognition
📅 2024-05-22 | 📚 Conference Paper
📌 Focus: Evaluation of various image processing techniques for face recognition applications.
🔗 DOI: 10.1109/ICCC62069.2024.10569864
👥 Co-author: József Vásárhelyi

FPGA Implementation in Mobile Robot Applications: State of the Art Review
📅 2023-12-20 | 📰 Multidiszciplináris Tudományok
📌 Focus: Overview of FPGA-based systems in robotics.
🔗 DOI: 10.35925/j.multi.2023.2.21
👥 Co-authors: Omar M. Salih, Noha Hammami

An Overview of Energies Problems in Robotic Systems
📅 2023-12-14 | 📰 Energies
📌 Focus: Challenges in energy management for robotic systems.
🔗 DOI: 10.3390/en16248060
👥 Co-authors: József Vásárhelyi, Omar M. Salih, Rabab Benotsname

A Review of Using Visual Odometry Methods in Autonomous UAV Navigation in GPS-Denied Environments
📅 2023-12-01 | 📰 Acta Universitatis Sapientiae, Electrical and Mechanical Engineering
📌 Focus: Use of visual odometry for UAVs in GPS-denied settings.
🔗 DOI: 10.2478/auseme-2023-0002
👥 Co-author: József Vásárhelyi