Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Nanjing University of Science and Technology , China

Professional Profile👨‍🎓

Early Academic Pursuits🎓

Muhammad Ahsan Saleem embarked on his academic journey in Mechatronics Engineering at the University of Engineering and Technology, Taxila, Pakistan, earning his Bachelor of Science degree in 2013. His passion for interdisciplinary studies led him to pursue a Master of Engineering in Mechanical Engineering at Nanjing University of Science and Technology, China, where he further advanced to a Doctor of Engineering in the same field. This strong foundation highlights his unwavering commitment to academic excellence and innovation.

Professional Endeavors 💼

Ahsan’s professional career spans roles in research and industry, blending technical expertise with practical applications. At Nanjing University of Science and Technology, he has been instrumental in project planning, performance metrics development, and leveraging machine learning to enhance experimental research. His tenure as a Mechatronics Engineer at Enginesound Automation Technology in Shanghai demonstrated his capability to design and implement cutting-edge solutions such as flexible bend control devices for textile machines and performance analysis tools for electric motors. Earlier, at Attock Refinery Limited, Pakistan, he contributed to HVAC systems’ compliance and operational efficiency.

Contributions and Research Focus🔬

Ahsan’s research contributions emphasize advancing 3D printing technologies and exploring innovative materials. His work on optimizing inkjet printing processes has led to significant improvements in dimensional precision and edge roughness. Additionally, his investigations into high-viscosity ink jetting behavior and the development of 3D-printed electrical resistors underscore his interdisciplinary approach. Projects like silicon carbide’s influence on selective laser processing and functional electronics printing further cement his role as a pioneer in material science and engineering.

Impact and Influence🌍

Through impactful research and professional achievements, Ahsan has influenced the fields of mechanical engineering and material science. His advancements in experimental design, coupled with data-driven methodologies, have contributed to new standards in precision manufacturing and electronics. His dedication to innovation fosters collaboration, driving significant contributions to engineering and technological progress globally.

Academic Cites and Technical Skills📜

Ahsan boasts a diverse technical skill set, ranging from programming (C++, Python, MATLAB) to simulation tools like SolidWorks and Simulink. His proficiency in machine learning and data analysis is evident in certifications from leading institutions, including Stanford University, IBM, and the University of Michigan. These skills are complemented by his expertise in microcontroller programming and platform integration using Raspberry Pi and Arduino.

Teaching and Mentorship Experience👨‍🏫

Ahsan’s dedication to academia extends beyond research, as evidenced by his volunteering roles. At the School of International Education, NJUST, he mentored freshmen and organized sports events, fostering a supportive environment for students. His involvement with the Environment Protection Society at UET highlights his commitment to community and educational outreach.

Legacy and Future Contributions

Ahsan’s ongoing endeavors in computer vision, image processing, and exploratory data analysis align with his vision to harness cutting-edge technologies for real-world impact. His interdisciplinary approach, combining mechanical engineering with data science and material innovation, sets a strong precedent for future contributions in sustainable technologies and precision engineering. He aspires to leave a lasting legacy as a researcher, mentor, and innovator driving advancements across industries.

Top Noted Publication 📖

  • Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina
    • Authors: Rehman, A.U., Saleem, M.A., Liu, T., Pitir, F., Salamci, M.U.
    • Journal: Materials
    • Year: 2022
  • Quantized Event-triggered Feedback Control under Fuzzy System with Time-varying Delay and Actuator Fault
    • Authors: Aslam, M.S., Qaisar, I., Saleem, M.A.
    • Journal: Nonlinear Analysis: Hybrid Systems
    • Year: 2020

Nan Yang | Power system planning | Best Researcher Award

Prof. Nan Yang | Power system planning | Best Researcher Award

Prof. Nan Yang at China Three Gorges University, China

👨‍🎓 Profiles

🌱 Early Academic Pursuits

Prof. Nan Yang began his academic journey at Taiyuan University of Technology, where he earned his Bachelor’s degree in 2009. He furthered his studies at Wuhan University, culminating in a Ph.D. in 2014. His strong foundation in engineering laid the groundwork for his subsequent research endeavors.

🏢 Professional Endeavors

Since 2014, Prof. Yang has held the position of Professor at China Three Gorges University, leading the Intelligent Energy Equipment and Operation Planning Technology research team. His leadership has been instrumental in overseeing significant projects, including collaborations with national institutions and industry partners.

💡 Contributions and Research Focus

Prof. Yang’s research primarily addresses power system operation and planning, with a focus on integrated energy systems, micro-grid control, and electric vehicle charging station planning. His innovative work has earned him recognition, including the Second Prize of the Hubei Province Science and Technology Progress Award.

🌍 Impact and Influence

His research has advanced the integration of new energy technologies into power grids, fostering more efficient and sustainable energy systems. Prof. Yang’s collaborative efforts have led to numerous publications in prestigious journals, influencing both academic and industry practices.

📊 Academic Cites

With over 1,198 citations and more than 80 published papers, Prof. Yang’s work is widely recognized in the field. His contributions span various journals, showcasing the impact of his research on global energy systems.

🔧 Technical Skills

Prof. Yang possesses expertise in power system automation, modeling and analysis, micro-grid operation, and the application of multi-agent game theory. His technical skills enable him to tackle complex challenges in energy systems effectively.

👨‍🏫 Teaching Experience

As an educator at China Three Gorges University, Prof. Yang has taught various courses on energy systems and power engineering. His commitment to education is reflected in his mentorship of students and involvement in curriculum development.

🏆 Legacy and Future Contributions

Prof. Yang’s legacy is characterized by his significant advancements in energy technology integration and his contributions to sustainable energy practices. He continues to explore innovative solutions, aiming to shape the future of energy systems and inspire the next generation of engineers.

 

📖 Top Noted Publications 

 

Distributed tri-layer risk-averse stochastic game approach for energy trading among multi-energy microgrids

  • Authors: Z Li, L Wu, Y Xu, L Wang, N Yang
  • Journal: Applied Energy
  • Volume: 331
  • Pages: 120282
  • Year: 2023
A comprehensive review of security-constrained unit commitment
  • Authors: N Yang, Z Dong, L Wu, L Zhang, X Shen, D Chen, B Zhu, Y Liu
  • Journal: Journal of Modern Power Systems and Clean Energy
  • Volume: 10
  • Issue: 3
  • Pages: 562-576
  • Year: 2021
Intelligent data-driven decision-making method for dynamic multisequence: An E-seq2seq-based SCUC expert system
  • Authors: N Yang, C Yang, L Wu, X Shen, J Jia, Z Li, D Chen, B Zhu, S Liu
  • Journal: IEEE Transactions on Industrial Informatics
  • Volume: 18
  • Issue: 5
  • Pages: 3126-3137
  • Year: 2021
A multi-agent game based joint planning approach for electricity-gas integrated energy systems considering wind power uncertainty
  • Authors: N Yang, T Qin, L Wu, Y Huang, Y Huang, C Xing, L Zhang, B Zhu
  • Journal: Electric Power Systems Research
  • Volume: 204
  • Pages: 107673
  • Year: 2022
Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities
  • Authors: N Yang, C Yang, C Xing, D Ye, J Jia, D Chen, X Shen, Y Huang, L Zhang, …
  • Journal: IET Generation, Transmission & Distribution
  • Volume: 16
  • Issue: 4
  • Pages: 629-640
  • Year: 2022
Emergent bacterial community properties induce enhanced drought tolerance in Arabidopsis
  • Authors: N Yang, J Nesme, HL Røder, X Li, Z Zuo, M Petersen, M Burmølle, …
  • Journal: npj Biofilms and Microbiomes
  • Volume: 7
  • Issue: 1
  • Pages: 82
  • Year: 2021