Mr. HaoFei Chen | Sensor Hardware | Young Innovator Award

Mr. HaoFei Chen | Sensor Hardware | Young Innovator Award

Mr. HaoFei Chen | Nanjing University of Science and Technology | China

Chen Haofei is a dynamic researcher specializing in wearable intelligent systems, sensor technology, and machine learning-based recognition models. His research primarily focuses on developing advanced wearable sign language recognition systems for the hearing-impaired, integrating multidisciplinary expertise in kinematic modeling, sensor layout optimization, adaptive algorithm development, and system validation. His work aims to enhance communication accessibility through innovative sensor fusion and data-driven algorithms, achieving recognition accuracies above Ninety Percent. Chen’s technical expertise spans instrumentation science, signal acquisition, data optimization, embedded system design, and intelligent data processing using neural networks and particle swarm optimization. His studies demonstrate a strong commitment to bridging theoretical modeling with real-world application, particularly in high-impact environments such as overpressure explosion testing and multi-dimensional data acquisition. Chen has published influential research articles that contribute significantly to the fields of intelligent measurement and human-computer interaction. According to Scopus, he has 3 citations across 2 indexed documents with an h-index of 1, reflecting the emerging academic influence of his early-stage work. His research outputs are also indexed on Google Scholar, indicating growing international visibility and recognition.

Profile

Scopus

Featured Publication 

Chen, H. (2025). Biomechanical feature extraction for robust sign language recognition with applications. Molecular & Cellular Biomechanics, 22(3), 1322.

Chen, H., & Di, C. (2025). Lightweight sign language intelligent recognition model based on improved R-C3D. Egyptian Informatics Journal, Elsevier.

Innocent Ababio | Internet of Things Award | Best Researcher Award

Mr. Innocent Ababio | Internet of Things Award | Best Researcher Award

Student, Fordham University, United States

Innocent Boakye Ababio is a skilled software engineer and machine learning researcher based in New York, USA, with over five years of professional experience. He specializes in building cutting-edge machine learning models, optimizing algorithms for computer vision and generative tasks, and enhancing SaaS infrastructures. Proficient in Python, C++, and cloud technologies, Innocent has a proven track record of solving complex technical challenges and delivering impactful solutions. 🌟

Publication Profile

Google Scholar

Education 🎓

Innocent holds a Master of Science in Data Science from Fordham University, New York, expected in December 2024. He also earned a Master of Engineering in Computer Science from Hubei University of Technology, China, in July 2020, and a Bachelor’s degree in Computer Science from the University of Cape Coast, Ghana, in June 2017. 📘

Experience 💼

In his role as a Research Assistant at Fordham University, Innocent develops machine learning models for generative and computer vision tasks. He previously worked as a Software Development Engineer at Autodesk, where he improved cloud-based libraries and contributed to developing Fusion Design features. As a Technical Support Engineer at Microsoft (Wicresoft), Innocent ensured system stability and performance for Office 360 products. He also gained early experience as a Software Developer at Ropat Systems, Ghana, creating APIs to enhance backend services. 🚀

Awards and Honors 🏆

Innocent has earned recognition for his impactful research and engineering contributions, although specific awards are not listed here. His commitment to excellence is evident in his successful projects and impactful professional journey. 🎖️

Research Focus 🔬

Innocent’s research interests span machine learning, natural language processing, distributed systems, and computer vision. He explores advanced topics such as heuristic link prediction, federated learning, and bias detection in large language models, leveraging frameworks like PyTorch and TensorFlow to push the boundaries of innovation. 🌐

Conclusion 🌟

Innocent Boakye Ababio is a visionary software engineer and machine learning researcher passionate about solving real-world problems through innovative technologies. His strong educational foundation, diverse professional experience, and dedication to impactful research make him a leader in his field. 🌍

Publications 📚

A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT
Published Year: 2023, Journal: International Journal of IoT and Applications, Cited by: 15 articles

Emotions, Hate Speech, and Bias Evaluation Detection for Large Language Models
Published Year: 2023, Journal: Journal of AI Ethics, Cited by: 10 articles

Heuristic Link Prediction Based on Graph Attention Mechanism
Published Year: 2022, Journal: Journal of Graph Algorithms and Applications, Cited by: 20 articles

Fordham AR App
Published Year: 2023, Conference: Proceedings of ARTech 2023, Cited by: 5 articles

See’t App
Published Year: 2021, Conference: International Conference on Software Applications, Cited by: 8 articles