Mr. Abhijeet Thakare | Network Security | Best Researcher Award

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Mr. Abhijeet Thakare | Network Security | Best Researcher Award 

Mr. Abhijeet Thakare, Industrial Engineering, South Korea

Abhijeet Thakare is an experienced AI and computer vision engineer specializing in the design and development of AI-powered applications. With expertise in NVIDIA solutions, Deep Learning, Machine Learning, and algorithm development, he has successfully implemented AI-based computer vision solutions for real-time analytics, public transportation monitoring, and logistics automation. Currently based in Seoul, South Korea, Abhijeet has led AI teams in projects for Rapid KL Bus Malaysia, NUS Singapore, and CJ Logistics, developing advanced AI models for passenger monitoring, driver allocation optimization, and parcel detection. Proficient in tools like NVIDIA DeepStream, YOLOv8, TensorRT, and Kafka, he excels in AI-driven automation, real-time data processing, and edge computing solutions. With a strong research aptitude and problem-solving skills, Abhijeet continues to drive innovation in AI and computer vision applications.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Abhijeet Thakare demonstrates a strong background in AI-based research and development, particularly in the fields of computer vision, deep learning, and real-time analytics. His extensive experience in implementing NVIDIA DeepStream solutions, AI-powered automation, and reinforcement learning techniques for real-world applications reflects a high level of research innovation and technical expertise. His contributions to AI-driven public transportation analytics, logistics optimization, and robotic automation highlight his ability to translate research into impactful industrial applications. Additionally, his leadership in multiple AI projects, collaborations with industry

📚 Education

🎓 Bachelor’s & Master’s Degree (Details Not Provided)

  • Specialized in Artificial Intelligence (AI), Computer Vision, and Deep Learning
  • Focused on Algorithm/Protocol Designing and Model Testing

💼 Work Experience

🚍 CTO & Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 Aug 2024 – Oct 2024
📌 Project: Rapid KL Bus Malaysia + Paymentinapp

  • Developed AI-based computer vision solutions for bus analytics and passenger monitoring
  • Implemented drowsiness detection, violence detection, smoke detection, seatbelt compliance, and phone usage tracking
  • Led real-time streaming and analytics using NVIDIA DeepStream SDK
  • Designed interactive monitoring interfaces for bus safety & passenger management
  • The solution was successfully demonstrated and is under review for deployment

🗺️ Project Manager & AI Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 July 2024 – Aug 2024
📌 Project: Rapid KL Malaysia + Paymentinapp

  • Implemented AI-based people tracking & heatmap generation for Singapore Conferences & Bus Analysis
  • Developed real-time monitoring for zone-based tracking and crowd management
  • Integrated DeepStream SDK to enhance visualization of occupancy heatmaps

🚎 Project Manager & AI Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 Aug 2024 – Ongoing
📌 Project: Rapid KL Malaysia + NUS Singapore + Paymentinapp

  • Implemented Reinforcement Learning-based real-time analytics for driver allocation & bus optimization
  • Integrated Kafka, DeepStream, and FastAPI for backend data management & real-time insights
  • Developed AI-powered driver scheduling to reduce waiting times & improve efficiency

📦 AI Team Leader | Vision Engineer Debang, Seoul, South Korea

📅 June 2024 – Sep 2024
📌 Project: Paymentinapp + CJ Logistics

  • Led AI-based parcel management using YOLOv8 & DeepStream SDK
  • Designed real-time parcel detection systems on NVIDIA Jetson devices
  • Integrated segmentation models for precise parcel dimension estimation
  • The project was successfully demonstrated and received positive feedback from CJ Logistics

🏆 Achievements & Awards

🏅 Innovative AI Developer – Successfully led multiple AI-based projects in computer vision & deep learning
🚀 Pioneer in Real-time Analytics – Designed AI-powered public transport monitoring systems
📜 Recognized AI Team Leader – Delivered high-accuracy AI models for automated tracking & surveillance
📊 Expert in Deep Learning & NVIDIA Solutions – Implemented AI-powered automation for multiple industries

Publication Top Notes:

Secure and efficient authentication scheme in iot environments

Ms. Jixin Wei | Data Security Awards | Excellence in Research

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Ms. Jixin Wei | Data Security Awards | Excellence in Research

Ms. Jixin Wei, University of Zürich, Switzerland

Wei Jixin is currently pursuing a Master of Laws in International and Comparative Law at the University of Zurich, where he has received several accolades, including first and second prizes at prestigious law conferences. He previously earned a Bachelor of Law from Hangzhou City University, achieving a GPA of 3.81/4.0 and receiving numerous awards for academic excellence, including the Third Prize at the National Finals of the Sixth National Students’ “Learning and Speaking about the Constitution” Activity. Jixin has gained valuable professional experience as an Intern Researcher at the Institute for Studies on Artificial Intelligence and Law at Tsinghua University and at the Institute of Internet Rule of Law in Hangzhou, contributing to legislative tracking and academic research in network and data rule of law. He has also co-founded Hangzhou Qiancheng Digital Technology Company, where he serves as the Legal Director, overseeing legal affairs and contract management. Jixin’s academic contributions include participation in significant judicial research projects and editing for ALSA LAW COMMENT, focusing on technology law. He has interned at various legal institutions, including law firms and courts, gaining hands-on experience in litigation and arbitration.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Research for Excellence in Research Award: Wei Jixin

Wei Jixin is an exemplary candidate for the Research for Excellence in Research Award due to her impressive academic achievements, robust research experience, and significant contributions to the field of law, particularly in the intersection of technology and legal studies.

📚 Educational Background

University of Zurich (2024.09.04 – Present)

  • Master of Laws in International and Comparative Law
  • Awards:
    🥇 First Prize of the Application for Papers at the 2024 Annual Meeting of the Applied Law Research Association of Shandong Law Society
    🥈 Second Prize of the 2024 Annual Conference of Zhejiang Law Society Digital Rule of Law Research Association

Hangzhou City University (2019.09.03 – 2023.06.16)

  • Bachelor of Law | GPA: 3.81/4.0
  • Awards:
    🥉 Third Prize of the National Finals of the Sixth National Students’ “Learning and Speaking about the Constitution” Activity
    🥇 First Prize of Essay for the 2023 Annual Academic Conference of Guangxi Province Litigation Law Research Society
    🥈 Second Prize of Essay Competition of the 2022 Annual Conference of Financial Law Research of Zhejiang Province
    🥈 Second Prize of Essay Competition of the Ninth Legal Vocational Ability Competition for College Students in Zhejiang Province
    🥈 Second Prize of Essay Competition of the Eighth Legal Vocational Ability Competition for College Students in Zhejiang Province
    🥉 Bronze Prize of the Thirteenth “Challenge Cup” China Student Entrepreneurship Program Competition in Zhejiang Province
    🥉 Bronze Prize of the 18th “Challenge Cup” Extracurricular Academic and Technological Works Competition for College Students in Zhejiang Province
    🥉 Bronze Prize of the 9th China International “Internet+” Student Innovation and Entrepreneurship Competition in Zhejiang Province
    ✨ Young Essay Rookie Award of the 2022 Annual Conference of Digital Rule of Law Research Society
    🏅 Outstanding Thesis
    🎓 Outstanding Graduate Representative of Hangzhou City University

University of Macau (2021.08.11 – 2022.01.31)

  • Bachelor of Law in Chinese Language | Exchange Student

💼 Professional Experience

Institute for Studies on Artificial Intelligence and Law, Tsinghua University
Intern Researcher (2024.10.20 – Present)

  • Tracked legislative developments and judicial judgments in network and data rule of law.

Institute of Internet Rule of Law (Hangzhou) & East China University of Political Science and Law
Intern Researcher (2024.03.26 – 2024.08.29)

  • Assisted in research on Internet law topics and organized academic forums.

Institute of Digital Finance, Hangzhou City University
Research Associate (2023.06.17 – Present)

  • Conducted legal research and drafted research papers.

Hangzhou Qiancheng Digital Technology Company
Supervisor, Co-founder, Legal Director (2021.09.16 – Present)

  • Managed legal affairs and drafted business contracts.

ALSA LAW COMMENT
Editor (2022.06.25 – Present)

  • Participated in legal research projects in technology law.

Zhejiang Junan Century Law Firm
Intern (2023.06.21 – 2023.09.19)

  • Assisted in preparing litigation materials and case retrieval.

Hangzhou Fuyang District People’s Court
Intern of the Case Filing Division (2020.12.09 – 2022.06.19)

  • Managed case schedules and communicated with attorneys.

Liuhe Law Firm
Intern (2021.12.16 – 2022.02.16)

  • Drafted legal opinions and participated in client meetings.

Hangzhou Shangcheng District People’s Court
Intern of the Civil Court (2021.07.29 – 2021.09.10)

  • Assisted in civil judgments writing and case material referrals.

Jinhua Jindong District People’s Court
Intern of the Criminal Court (2020.08.03 – 2020.09.02)

  • Organized case materials and sorted case files.

🏆 Achievements and Awards

  • 🥇 First Prize in several academic competitions and conferences, showcasing excellence in legal research and writing.
  • 🤝 Active involvement in key research projects, including Judicial Protection of Intellectual Property Rights in Data Rights and integrated reforms in legal processes.

Publication Top Notes:

Assoc. Prof. Dr. Jing Huang | Network Security Awards | Best Researcher Award

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Assoc. Prof. Dr. Jing Huang | Network Security Awards | Best Researcher Award

Assoc. Prof. Dr. Jing Huang, Beijing university of technology, China

Jing Huang is an Associate Professor at the Faculty of Information Technology at Beijing University of Technology, where he has been a faculty member since July 2007. He holds a strong research focus on blockchain safety supervision, big data, data mining, machine learning, and brain-inspired computing. Dr. Huang has received several accolades for his contributions to education and research, including the Students’ Favourite Teacher Award at Beijing University of Technology in July 2021 and the Wu Wenjun AI Science & Technology Award (Second Prize) from the Chinese Association for Artificial Intelligence in January 2021. Additionally, he has been recognized as an Annual Excellent Member of CAAI in the same year. Dr. Huang is actively involved in professional activities, serving as a supervisor and member of the Beijing Association for Artificial Intelligence (BAAI) since 2018 and as Associate Secretary-General and Standing Committee member of the Committee of Education and Popular Science in CAAI since 2020. He is also a member of the evaluation panel for the Beijing Nova Program, contributing to the advancement of artificial intelligence and technology in China.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Dr. Jing Huang

Profile: Dr. Jing Huang is an Associate Professor at the Faculty of Information Technology, Beijing University of Technology, China. With a robust academic background and over 16 years of experience in the field, Dr. Huang has established herself as a leading researcher in areas such as blockchain safety supervision, big data, data mining, machine learning, and brain-inspired computing.

Education 🎓

  • Ph.D. in Computer Science
    Beijing University of Technology, Beijing, China
    (Year of completion not specified)
  • M.S. in Computer Science
    Beijing University of Technology, Beijing, China
    (Year of completion not specified)
  • B.S. in Computer Science
    Beijing University of Technology, Beijing, China
    (Year of completion not specified)

Work Experience 💼

  • Associate Professor
    Faculty of Information Technology, Beijing University of Technology, Beijing, China
    Duration: July 2007 – Present

Achievements 🌟

  • Students’ Favourite Teacher Award
    Beijing University of Technology, July 2021
  • Wu Wenjun AI Science & Technology Award (Second Prize)
    Chinese Association for Artificial Intelligence, January 2021
  • Annual Excellent Member for CAAI
    Chinese Association for Artificial Intelligence (CAAI), January 2021

Professional Activities 🤝

  • Supervisor and Member
    Beijing Association for Artificial Intelligence (BAAI)
    Duration: 2018 – Present
  • Associate Secretary-General and Standing Committee Member
    Committee of Education and Popular Science in CAAI
    Duration: 2020 – Present
  • Evaluation Panel Member
    Beijing Nova Program

Publication Top Notes

An Improved Dyna-Q Algorithm Inspired by the Forward Prediction Mechanism in the Rat Brain for Mobile Robot Path Planning

Smart contracts vulnerability detection model based on adversarial multi-task learning

TOCIM: An improved operant conditioning model with task-oriented curiosity

A Brain-Inspired Model of Hippocampal Spatial Cognition Based on a Memory-Replay Mechanism

Deep Reinforcement Learning Based on Social Spatial–Temporal Graph Convolution Network for Crowd Navigation

Prof. Tian-Fu Lee | Network security Awards | Best Researcher Award

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Prof. Tian-Fu Lee | Network security Awards | Best Researcher Award 

Prof. Tian-Fu Lee, Tzu Chi University, Taiwan

Dr. Tian-Fu Lee is a professor in the Department of Medical Informatics and the Institute of Medical Sciences at Tzu Chi University, Taiwan. He earned his B.S. degree in Applied Mathematics from National Chung Hsing University, Taiwan, followed by an M.S. degree in Computer Science and Information Engineering from National Chung Cheng University, Taiwan. He completed his Ph.D. in Computer Science and Information Engineering at National Cheng Kung University, Taiwan. Dr. Lee’s research interests span cryptography, network security, medical information security, wireless networks, Wireless Sensor Networks (WSN), the Internet of Things (IoT), the Internet of Medical Things (IoMT), and the Internet of Drones (IoD), where he contributes extensively to advancements in secure and efficient information systems for medical and technological applications.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Tian-Fu Lee is a highly qualified candidate for the Best Researcher Award, given his extensive academic background, contributions, and impactful research in fields related to cryptography, network security, medical information security, wireless sensor networks (WSN), the Internet of Things (IoT), and the Internet of Medical Things (IoMT). His academic trajectory—from a Bachelor’s in Applied Mathematics through a Master’s and Ph.D. in Computer Science and Information Engineering—equips him with a strong foundation in both theoretical and applied research. Currently, as a professor at Tzu Chi University in Taiwan, he has focused on solving crucial problems in medical informatics, cybersecurity, and privacy, particularly within healthcare systems.

Education

  • Bachelor of Science (B.S.) in Applied Mathematics
    • Institution: National Chung Hsing University, Taiwan
  • Master of Science (M.S.) in Computer Science and Information Engineering
    • Institution: National Chung Cheng University, Taiwan
  • Ph.D. in Computer Science and Information Engineering
    • Institution: National Cheng Kung University, Taiwan

Work Experience

  • Position: Professor
    • Department: Department of Medical Informatics and Institute of Medical Sciences
    • Institution: Tzu Chi University, Taiwan

Research Interests

  • Cryptography
  • Network Security
  • Medical Information Security
  • Wireless Networks
  • Wireless Sensor Networks (WSN)
  • Internet of Things (IoT)
  • Internet of Medical Things (IoMT)
  • Internet of Drones (IoD)

Publication top Notes:

Compliance with HIPAA and GDPR in Certificateless-Based Authenticated Key Agreement Using Extended Chaotic Maps

Enhanced Authenticated Key Agreement for Surgical Applications in a Tactile Internet Environment

Extended Chaotic-Map-Based User Authentication and Key Agreement for HIPAA Privacy/Security Regulations

Blockchain-Based Healthcare Information Preservation Using Extended Chaotic Maps for HIPAA Privacy/Security Regulations

Ms. MIRACLE UDURUME | Intrusion Detection | Best Researcher Award

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Ms. MIRACLE UDURUME | Intrusion Detection | Best Researcher Award

Ms. MIRACLE UDURUME, Ulsan University, South Korea

Uduru Miracle is a researcher and graduate student at Kumoh National Institute of Technology in Gumi, Gyeongbuk, South Korea. With a strong academic background, he holds an MSc in Microbiology from Kumoh Institute of Technology, where he completed a thesis on real-time multimodal emotion recognition under the supervision of Professor Wansu Lim. He earned his BSc in Mathematics from Delta State University, Abraka, Nigeria, graduating with second-class upper division honors. His research interests span data generation, emotion recognition, and machine learning. During his time at Kumoh Institute of Technology, Miracle contributed to various lab projects, including the generation of synthetic data for supercapacitors, voice and face emotion recognition using machine learning models, and real-time multimodal emotion recognition. He also played a pivotal role in developing hybrid lithium-ion and ultra-capacitors for electric vehicles. His academic excellence and research contributions have been recognized through awards, including the Korean Government Scholarship Award (2021-2023) and the Christ High School Scholarships.

Professional Profile:

SCOPUS

 

Summary of Suitability for Best Researcher Award

Udurume Miracle is a highly promising candidate for the Best Researcher Award, showcasing an impressive academic background and research expertise in advanced areas such as data generation, emotion recognition, and machine learning. His work primarily focuses on real-time multimodal emotion recognition, utilizing sophisticated techniques like multithreaded weighted average fusion, which highlights his innovative approach to solving complex problems.

🎓 Education

  • MSc in Microbiology
    Kumoh National Institute of Technology, South Korea
    📅 February 2023

    • Thesis: Real-time Multimodal Emotion Recognition Based on Multithreaded Weighted Average Fusion
    • Advisor: Professor Wansu Lim
  • BSc in Mathematics
    Delta State University, Abraka, Nigeria
    📅 October 2019

    • Second Class Upper Division
    • Thesis: Counting Techniques in Discrete Mathematics
    • Advisor: Dr. J.S. Apanapudor

🔬 Research Interests

  • Data Generation
  • Emotion Recognition
  • Machine Learning

🔬 Research Experience

Kumoh National Institute of Technology, South Korea
📅 June 2021 – November 2022

  • Worked on lab projects under the supervision of Professor Wansu Lim
  • Generated synthetic data for predicting the remaining useful life of supercapacitors using methods like GANs, Auto-encoders, and statistical approaches 📊
  • Conducted voice emotion recognition using machine learning models such as LSTM and CNNs 🎙️
  • Performed face emotion recognition on embedded hardware systems like Jetson Nano and Jetson TX2 📸
  • Developed real-time multimodal emotion recognition using multithreaded weighted average fusion 🔄
  • Researched hybrid lithium-ion and ultra-capacitors for electric vehicles 🚗
  • Applied data fusion techniques for face and speech emotion recognition 🤖
  • Generated artificial data for ultra-capacitor projects 🔋

🏅 Honors and Awards

  • Christ High School Scholarships
    📅 September 2012

    • Part-time scholarship for secondary school education 🎓
  • Korean Government Scholarship Award
    📅 2021 – 2023

    • Full funding for Master’s program in South Korea 🇰🇷

Publication top Notes:

 

Synthetic Data Generation Using GAN for RUL Prediction of Supercapacitors

Emotion Recognition Implementation with Multimodalities of Face, Voice and EEG