Dr. Tawfik CHAABENI | Industrial and Manufacturing Applications | Best Researcher Award

Dr. Tawfik CHAABENI | Industrial and Manufacturing Applications | Best Researcher Award

Doctorate at Faculté des Sciences de Sfax | Tunisia

Professional Profile

Orcid

🎓 Educational Background

Tawfik Chaabeni, born on September 13, 1991, in Tunisia, has a strong academic foundation in physics and material science. He is currently pursuing a national doctoral degree at the Faculty of Sciences of Sfax, University of Sfax (since September 2020). Tawfik earned his Master’s degree in Physics of Materials and Energy from the Higher School of Science and Technology of Hammam Sousse, University of Sousse, in October 2015. He holds a Bachelor’s degree in General Physics from the same institution, achieved in June 2013. His academic journey began with a Baccalaureate in Mathematics in June 2010 at Ali Zouaoui High School, Hajeb Laayoun – Kairouan.

🏫 Professional Experience

Tawfik has a passion for education and a wealth of teaching experience. Since 2021, he has been a secondary school teacher at La Périspérance High School. Previously, in 2020-2021, he contributed to various institutions, including La Périspérance High School, IBN Khaldoun High School, and Pascal School. His teaching tenure in 2019-2020 extended to Mon Excellence School Support Center and the same schools. From 2018 to 2019, Tawfik served as a temporary assistant at the Higher School of Science and Technology of Hammam Sousse (ESSTHS) while continuing to teach at Pascal School and Mon Excellence. He began his professional teaching journey in 2017, also as a temporary assistant at ESSTHS.

💡 Skills and Strengths

Tawfik is recognized for his passion for education and his focus on active pedagogies. He demonstrates excellent communication skills, builds positive interpersonal relationships, and fosters a learning environment grounded in positive discipline. Known for being creative, pedagogical, rigorous, and respectful, Tawfik is a charismatic educator committed to student success.

🔬 Training and Research Internships

Tawfik has conducted internships at esteemed laboratories, including:

LaMMA: Laboratory of Multifunctional Materials and Applications, Faculty of Sciences of Sfax, University of Sfax.

LabEM: Laboratory of Energy and Materials, Higher School of Science and Technology of Hammam Sousse, University of Sousse.

These experiences have significantly enhanced his expertise in materials and energy research.

🌍 Languages and Communication Skills

Tawfik is trilingual, fluent in Arabic, French, and English, allowing him to engage effectively with diverse audiences. His linguistic skills are an asset in both teaching and collaborative research.

💻 Computer Proficiency

Tawfik is proficient in essential software and research tools, including Word, Excel, and PowerPoint for documentation and presentations. For scientific analysis, he is skilled in Origin, FullProf, and Winplotr, equipping him to process and interpret complex data with precision.

Publications Top Noted📄 

Tunable Optical Properties and Relaxor Behavior in Ni/Ba Co-Doped NaNbO3 Ceramics: Pathways Toward Multifunctional Applications

Authors: Tawfik Chaabeni, Zohra Benzarti Ep Khalfallah, Najmeddine Abdelmoula, Slim Zghal
Journal: Ceramics
Year: 2024

Assoc Prof Dr. Zhifen Zhang | Intelligent Manufacturing | Best Researcher Award

Assoc Prof Dr. Zhifen Zhang, Intelligent Manufacturing, Best Researcher Award

Zhifen Zhang at Xi’an Jiao Tong University, China

Professional Profile

Summary:

Assoc. Prof. Dr. Zhifen Zhang is a leading figure in intelligent manufacturing, specializing in the integration of advanced monitoring technologies for metal processing. Currently a tenure-track associate professor at Xi’an Jiao Tong University, her research spans laser welding, laser shock peening, and additive manufacturing. With over 15 major projects and funding of up to 7 million RMB, Dr. Zhang has made significant strides in multisensory data fusion and explainable deep learning applications. Her innovative approach addresses online detection of porosity defects, crucial for the aerospace industry, and ensures quality and stability in manufacturing processes. Dr. Zhang’s contributions have solidified her reputation as a pioneer in her field.

👩‍🎓Education:

  • Ph.D. in Mechanical Engineering
    • Xi’an Jiao Tong University, China
  • Postdoctoral Research in Mechanical Engineering
    • Xi’an Jiao Tong University, China (2015.10 – 2018.10)

🧬 Professional Experience:

  • Associate Professor (Tenure)
    • School of Mechanical Engineering, Xi’an Jiao Tong University, China
    • 2022.09 – Present
  • Associate Professor
    • School of Mechanical Engineering, Xi’an Jiao Tong University, China
    • 2019.11 – 2022.09
  • Lecturer
    • School of Mechanical Engineering, Xi’an Jiao Tong University, China
    • 2015.10 – 2019.11
  • Postdoctoral Researcher
    • School of Mechanical Engineering, Xi’an Jiao Tong University, China
    • 2015.10 – 2018.10

 

Research Interests:

Assoc. Prof. Dr. Zhifen Zhang’s research interests lie at the intersection of advanced monitoring technologies and intelligent manufacturing processes. With a focus on metal processing, her work spans laser welding, laser shock peening, machining, and additive manufacturing. Dr. Zhang specializes in the integration of acoustic, optical, and thermal infrared sensing techniques to develop innovative monitoring systems. She is particularly interested in the fusion of heterogeneous information sources and the application of explainable deep learning methods in manufacturing. Her research addresses critical challenges in defect detection, residual stress characterization, and stability evaluation, with implications for aerospace components and the broader manufacturing industry. Dr. Zhang’s interdisciplinary approach and commitment to innovation contribute to advancements in quality control and process optimization, ensuring the reliability and efficiency of manufacturing operations.

 

Publications Top Noted:

Paper Title: An adaptive cepstrum feature representation method with variable frame length and variable filter banks for acoustic emission signals
  • Authors: Qin, R., Huang, J., Zhang, Z., He, W., Chen, X.
  • Journal: Mechanical Systems and Signal Processing
  • Volume: 208
  • Pages: 111031
  • Year: 2024
  • Citations: 2
Paper Title: A novel physically interpretable end-to-end network for stress monitoring in laser shock peening
  • Authors: Qin, R., Zhang, Z., Huang, J., Wen, G., He, W.
  • Journal: Computers in Industry
  • Volume: 155
  • Pages: 104060
  • Year: 2024
  • Citations: 1
Paper Title: Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network
  • Authors: Huang, J., Zhang, Z., Qin, R., Cheng, W., Chen, X.
  • Journal: Journal of Manufacturing Systems
  • Volume: 72
  • Pages: 93–103
  • Year: 2024
  • Citations: 1
Paper Title: Disturbance-Compensation-Based Predictive Sliding Mode Control for Aero-Engine Networked Systems With Multiple Uncertainties
  • Authors: Song, P., Yang, Q., Li, D., Zhang, Z., Peng, J.
  • Journal: IEEE Transactions on Automation Science and Engineering
  • Year: 2024
  • Citations: 1
Paper Title: On-line defect recognition of MIG lap welding for stainless steel sheet based on weld image and CMT voltage: Feature fusion and attention weights visualization
  • Authors: Wang, J., Zhang, Z., Bai, Z., Huang, J., Wen, G.
  • Journal: Journal of Manufacturing Processes
  • Volume: 108
  • Pages: 430–444
  • Year: 2023
  • Citations: 1