Assoc. Prof. Dr. Lei Wang | Automatic Control Systems | Best Researcher Award

Assoc. Prof. Dr. Lei Wang | Automatic Control Systems | Best Researcher Award

Wuxi University, China.

Dr. Wang Lei is an Associate Professor at Wuxi University, specializing in intelligent control systems. With a strong background in artificial intelligence applications in automation, he has led over 10 major research projects, published more than 30 peer-reviewed papers, and holds 20+ patents and 11 software copyrights. He has international training experience in Thailand, Taiwan, Poland, and the UK, enriching his global academic perspective.

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๐ŸŽ“ Education

Dr. Wang Lei pursued extensive academic training, including joint doctoral programs funded by Chinaโ€™s national โ€œ111 Planโ€, conducting research in institutions like Green Mountain University (Poland) and the University of Southampton (UK). His master's studies included training at Prince Songkhla University (Thailand) and Yunlin University of Science and Technology (Taiwan).

๐Ÿ’ผ Experience

Currently an Associate Professor at Wuxi University, Wang Lei has spearheaded numerous provincial and national research projects, including collaborations with the Ministry of Education, Wuxi Science and Technology Bureau, and the National Natural Science Foundation of China. His editorial roles include reviewing for journals like International Journal of Robust and Nonlinear Control and Security and Communication Networks.

๐Ÿ”ฌ Research Interests

His research focuses on the application of artificial intelligence in automatic control systems, covering areas such as iterative learning control, dynamic observers, fuzzy systems, and actuator fault tolerance.

๐Ÿ† Awards & Patents

Principal investigator of 10+ funded projects including Jiangsu Provincial Natural Science and Wuxi โ€œLight of Taihu Lakeโ€ programs.

Holder of 20+ patents, including โ€œA trajectory tracking method for non-repetitive time-varying systemsโ€.

Recognized with support from national initiatives such as the โ€œ111 Planโ€.

๐Ÿ“š Notable Publications

๐Ÿ†• 2025

Output feedback based PD-type iterative learning fault-tolerant control for uncertain discrete systems with actuator faults
๐Ÿ“˜ Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
๐Ÿ”— DOI: 10.1177/09596518241263003
๐Ÿ‘ฅ Yanxia Shen, Wei Zou, Lei Wang

๐Ÿ”ฌ 2024

An innovative dynamic observer for nonlinear interconnected systems with uncertainties
๐Ÿ“˜ Transactions of the Institute of Measurement and Control
๐Ÿ—“ Published: 2024-10-23
๐Ÿ”— DOI: 10.1177/01423312241274007
๐Ÿ‘ฅ Nan Ji, Lei Wang, Xinggang Yan, Dezhi Xu

Iterative learning control with parameter estimation for non-repetitive time-varying systems
๐Ÿ“˜ Journal of the Franklin Institute
๐Ÿ—“ Published: 2024-02
๐Ÿ”— DOI: 10.1016/j.jfranklin.2024.01.011
๐Ÿ‘ฅ Lei Wang, Ziwei Huangfu, Ruiwen Li, Xiewen (Sitman) Wen, Yuan Sun, Yiyang Chen

๐Ÿ“Š 2023

Design of robust fuzzy iterative learning control for nonlinear batch processes
๐Ÿ“˜ Mathematical Biosciences and Engineering
๐Ÿ”— DOI: 10.3934/mbe.2023897
๐Ÿ‘ฅ Wei Zou, Yanxia Shen, Lei Wang

A Soft Actor-Critic Approach for a Blind Walking Hexapod Robot with Obstacle Avoidance
๐Ÿ“˜ Actuators
๐Ÿ—“ Published: 2023-10-21
๐Ÿ”— DOI: 10.3390/act12100393
๐Ÿ‘ฅ Lei Wang, Li Ruiwen, Ziwei Huangfu, Yishan Feng, Yiyang Chen

Fully Distributed, Event-Triggered Containment Control of Multi-Agent Systems
๐Ÿ“˜ Applied Sciences
๐Ÿ—“ Published: 2023-10-07
๐Ÿ”— DOI: 10.3390/app131911039
๐Ÿ‘ฅ Lei Wang, Guanwen Chen, Tai Li, Ruitian Yang

Slowness or Autocorrelation? A serial correlation feature analysis method
๐Ÿ“˜ Journal of Process Control
๐Ÿ—“ Published: 2023-01
๐Ÿ”— DOI: 10.1016/j.jprocont.2022.11.010
๐Ÿ‘ฅ Qinghua Li, Zhonggai Zhao, Lei Wang

Dr. Ali Altuntepe | Hydrogen Energy | Best Researcher Award

Dr. Ali Altuntepe | Hydrogen Energy | Best Researcher Award

Sivas of Science and Technology university, Turkey.

Dr. Ali Altuntepe is a Turkish researcher and materials scientist specializing in experimental condensed matter physics, thin film technology, and two-dimensional materials. With a Ph.D. in Mechanical Engineering, his work focuses on hydrogen storage, graphene synthesis, and solar cell enhancement. He is passionate about integrating nanomaterials in renewable energy applications and continues to contribute significantly to the scientific community through numerous high-impact publications and collaborative projects.

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๐ŸŽ“ Education

Dr. Ali Altuntepe has pursued his entire academic journey in Mechanical Engineering at NiฤŸde ร–mer Halisdemir University, where he demonstrated a consistent dedication to advanced research in materials science and energy systems. He recently completed his Ph.D. in Mechanical Engineering (2019โ€“2024) with an outstanding GPA of 9.74/10.00. His doctoral thesis focused on the "Investigation of Hydrogen Storage Potential of Two-Dimensional Materials, Metal Hydrides, and Their Compositions," reflecting his deep engagement with sustainable and cutting-edge energy technologies. Prior to this, he earned his Masterโ€™s degree in Mechanical Engineering (2017โ€“2019), achieving a GPA of 90.09/100, with a thesis centered on the "Synthesis of Doped and Pristine Graphene." His academic foundation was laid with a Bachelor's degree in the same field (2012โ€“2017), where he graduated with a GPA of 3.35/4.00. Throughout his academic career, Dr. Altuntepe has cultivated expertise in nanomaterials, hydrogen storage systems, and graphene synthesis, positioning him as a strong contributor to both academic and applied research in clean energy and material innovation.

๐Ÿง‘โ€๐Ÿซ Experience

Dr. Altuntepe has extensive experience in thin film synthesis and characterization. His work includes growing doped and pristine graphene, investigating 2D materials like MoSโ‚‚, WSโ‚‚, LiH, and NaH, and applying these materials in PEM fuel cells and solar cells. He has presented at international conferences and co-authored a book chapter on sustainable materials in solar technology.

๐Ÿ”ฌ Research Interests

Graphene and TMDs (MoSโ‚‚, WSโ‚‚) synthesis

Hydrogen storage materials

Solar cell enhancement using 2D materials

Thin film deposition techniques (CVD, PVD, E-beam)

Materials characterization (XRD, SEM, Raman, XPS, etc.)

Transparent conductive oxides (TCOs)

Integration of nanomaterials into composite and optoelectronic systems

๐Ÿ† Awards & Achievements

Co-authorship in a prestigious Elsevier publication:
Sustainable Materials Solutions for Solar Energy Technologies (2021)

Oral presentations at international conferences including ICSM and MSNG

High citation record with over 20 peer-reviewed journal articles

๐Ÿ“š Selected Publications

โ˜€๏ธ Advanced Solar Cell Materials

1. Boron Doped Graphene and MoSโ‚‚-Based Ultra-Thin Schottky Junction Solar Cell

Journal: Optical Materials (May 2025)
DOI: 10.1016/j.optmat.2025.116828
Highlights:

Integrates boron-doped graphene with MoSโ‚‚ to form an ultra-thin Schottky junction.

Aims to enhance charge transport and light absorption.

Promising for lightweight and high-efficiency PV applications.

2. Nitrogen Doped Single Layer Graphene for CZTS-Based Thin Film Solar Cells

Journal: Optical Materials (2024)
DOI: 10.1016/j.optmat.2024.115167
Highlights:

Uses nitrogen doping to tune electronic properties of graphene.

Applied in CZTS (Copper Zinc Tin Sulfide) solar cells โ€” known for being earth-abundant and non-toxic.


๐Ÿ’จ Hydrogen Storage and Fuel Cells

3. Optimizing Hydrogen Storage and Fuel Cell Performance Using Carbon-Based Materials

Journal: Hydrogen (March 2025)
DOI: 10.3390/hydrogen6020022
Highlights:

Studies effects of surface area and pressure on carbon-based hydrogen storage.

Bridges material design with real-world performance in fuel cells.

4. Hydrogen Storage Capacity of Two-Dimensional MoSโ‚‚

Journal: International Journal of Hydrogen Energy (2024)
DOI: 10.1016/j.ijhydene.2023.12.120
Highlights:

Focus on MoSโ‚‚ for reversible hydrogen storage.

Explores adsorption behavior on 2D surfaces.

5. Investigating Surface Area and Hydrogen Pressure Effects on LiH and NaH

Journal: Journal of Solid State Chemistry (2024)
DOI: 10.1016/j.jssc.2023.124483
Highlights:

Dives into metal hydrides (LiH and NaH).

Correlates structural properties with storage performance under different pressures.