Jinlei Ma | Digital Transformation | Best Researcher Award

Mr. Jinlei Ma | Digital Transformation | Best Researcher Award

Mr. Jinlei Ma, Harbin Institute of Technology, China

Jinlei Ma is a dynamic and accomplished researcher currently pursuing an MBA at Harbin Institute of Technology (Project 985), with a strong academic background in Vehicle Engineering from China Agricultural University (Project 985). Ranked in the top 10% of his class, he has received numerous prestigious awards including the National Scholarship and Grand Prize Scholarship for Graduate Studies. His multidisciplinary research spans electrowetting of gallium-based liquid metals, flexible thermoelectric generation for wearable devices, and corporate performance in digital transformation contexts. Notably, he has published in top-tier journals such as Materials Horizons (IF=12.2, cited 101 times), Applied Energy (IF=10.1, cited 41 times), and Applied Economics (JCR Q2), and holds a patent for a flexible power generation unit. A recipient of several “Challenge Cup” awards, Jinlei has also presented at international conferences and contributed over 250 hours in volunteer work, reflecting a well-rounded profile of academic excellence, innovation, and social engagement.

Publication Profile

Scopus

Educational Background

Jinlei Ma is currently pursuing his Master of Business Administration at the Harbin Institute of Technology (Project 985), School of Economics and Management (2023.09–2025.06). His coursework includes Advanced Statistics, Technology Innovation Management, and Big Data & AI. He has been recognized with the Grand Prize Scholarship and the National Special Award in the China Undergraduate Research English Speaking Competition. Actively involved in student leadership, he serves as Secretary of the Graduate Party Branch and Vice Class Leader. Jinlei earned his Bachelor’s degree in Vehicle Engineering from China Agricultural University (Project 985) with a GPA of 3.53/4.0, ranking in the top 10%. He received numerous honors such as the National Scholarship, First Prize for Academic Excellence, and was named an Outstanding Graduate. Additionally, he contributed to student welfare as a class counselor and committee member. His volunteer contributions exceed 250 hours, reflecting his strong civic commitment.

Research Contributions

Jinlei Ma has led multiple high-impact research projects across engineering and management disciplines. As project leader, he explored the electrowetting deformation mechanisms of gallium-based liquid metals, resulting in a paper published in Materials Horizons (IF=12.2, cited 101 times) and earned national-level awards in the “Challenge Cup.” He also led the development of flexible thermoelectric power generation technology for wearable devices, culminating in a patent (202010209825.X) and a second-author publication in Applied Energy (IF=10.1, cited 41 times). In a related project, he enhanced energy harvesting through foam copper integration, producing a smart headband system and earning top undergraduate thesis awards. Additionally, his interdisciplinary research on executive equity incentives in the context of digital transformation used Hansen’s threshold regression on data from 1789 Chinese firms, leading to a publication in Applied Economics (JCR Q2). These diverse, data-driven studies showcase his innovation, leadership, and scholarly impact across domains.

Research Focus

Jinlei Ma’s research primarily focuses on advanced functional materials, wearable energy technologies, and interdisciplinary innovation bridging engineering and management sciences. His work in developing high-performance wearable thermoelectric generators reflects a deep interest in energy harvesting systems, emphasizing thermal resistance optimization and voltage conversion for sustainable, human-integrated electronics. He explores the integration of flexible thermoelectric materials, foam copper for enhanced heat dissipation, and smart wearable devices to enable next-generation power solutions. Additionally, his research in liquid metal electrowetting and semiconductor applications showcases an experimental and materials-driven approach to nanotechnology and electronics. Beyond engineering, his interest extends to corporate performance analytics, demonstrated by his econometric study on executive equity incentives during digital transformation. This multidisciplinary blend highlights his unique research niche at the intersection of materials science, wearable technology, renewable energy, and data-driven decision management, making him a forward-thinking researcher in sustainable innovation and smart systems.

Publication Top Notes

📄 “A high-performance wearable thermoelectric generator with comprehensive optimization of thermal resistance and voltage boosting conversion”, Applied Energy, 2022 — Cited by: 38 🔍

Oussama Mounnan | Computer Science | Best Researcher Award

Mr. Oussama Mounnan | Computer Science | Best Researcher Award

Mr. Oussama Mounnan, Paris 8 University, France

Based on the detailed information provided about Mr. Oussama Mounnan, he appears to be a strong candidate for the “Best Researcher Award” due to his extensive experience and achievements in the field of cybersecurity, deep learning, and biometric access control. Below is a summary of his qualifications and contributions:

Publication profile

Professional Experience

Mr. Mounnan has been working as a Security Engineer since October 2015 at Weberfly-group in Marrakech, Morocco. He is responsible for managing, administering, and configuring network security systems, including firewalls, routers, switches, and VPN access. His role also includes performing network traffic analysis, implementing security policies, conducting security audits, and managing incidents. Additionally, he has experience in ethical hacking and penetration testing using various tools. Previously, he co-founded OussamaWeb, where he focused on IT maintenance, web development, and application creation from 2007 to 2015.

Research and Academic Background

Mr. Mounnan is currently pursuing a PhD in Computer Science at Ibn Zohr University-Agadir, Morocco, in collaboration with Paris 8 University, France. His research focuses on speech recognition using deep learning for biometric access control, a field that intersects artificial intelligence and cybersecurity. He has previously conducted research at the Oscar laboratory of Cadi Ayyad University, where he designed and tested systems for access control within the context of Big Data.

Technical Skills and Certifications

He has a comprehensive skill set covering programming languages (HTML, C, Python, Java), network security, system administration, virtualization, and data management tools. His certifications include ITIL V4, Prince2 Foundation, and various cybersecurity and machine learning credentials from Google, Coursera, and Fortinet. These certifications underline his commitment to staying updated in the rapidly evolving fields of IT security and data science.

Education

Mr. Mounnan holds a Master’s degree in Services, System Security, and Networks from the University of Lorraine, France, and a Bachelor’s degree in Networks and Telecommunications from Université Littoral Côte d’Opale, France. He has also completed specialized training in software engineering and information systems.

Additional Skills and Interests

He is proficient in English, French, and German at an advanced level. His interests include swimming, martial arts, reading, music, and scientific research, reflecting a well-rounded personality committed to both personal and professional development.

Publication Top Notes

  • Privacy-aware and authentication based on blockchain with fault tolerance for IoT enabled fog computing 🌐🔐 | Cited by: 21 | Year: 2020
  • Decentralized access control infrastructure using blockchain for big data 📊🔗 | Cited by: 10 | Year: 2019
  • Using blockchain based authentication solution for the remote surgery in tactile internet 🏥🖥️ | Cited by: 5 | Year: 2021
  • Anomaly detection for big data security: a benchmark 🔍🔒 | Cited by: 3 | Year: 2021
  • Efficient Distributed Access Control using Blockchain for Big Data in Clouds ☁️📈 | Cited by: 3* | Year: 2019
  • A novel approach based on blockchain to enhance security with dynamic policy updating 🔄🔐 | Cited by: 1 | Year: 2020
  • A Review on Deep Anomaly Detection in Blockchain 📚🛡️  Year: 2024
  • Deep Speech Recognition System Based on AutoEncoder-GAN for Biometric Access Control 🎤🧠  Year: 2023
  • Deep Learning-Based Speech Recognition System using Blockchain for Biometric Access Control 🧠🔗 Year: 2022
  • Towards a Privacy preserving Machine Learning based Access Control for the Internet of Things 🌐🤖  Year: 2022


Conclusion

Mr. Oussama Mounnan’s blend of practical experience, academic research, and extensive certifications make him a suitable candidate for the “Best Researcher Award.” His work in cybersecurity and deep learning, particularly in speech recognition for biometric access, highlights his significant contributions to these fields.