Weimin Xu | Engineering | Best Researcher Award

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Mr. Weimin Xu | Engineering | Best Researcher Award 

Associate professor, at Shanghai Maritime University, China.

Dr. Weimin Xu, Ph.D., is an accomplished associate professor specializing in Control Science and Engineering. 🎓 With a career spanning over three decades, Dr. Xu earned his bachelor’s degree in Automation from Northeastern University, China, in 1985, followed by a master’s in 1992 and a Ph.D. in 1997 from the same institution. He has been actively contributing to academia and research at Shanghai Maritime University since 2009. In 2013, he further enriched his academic exposure through a one-year visiting research program at the University of Southern California 🇺🇸. Dr. Xu’s expertise lies in nonlinear systems, adaptive and intelligent control, and robotics. 🤖 He has authored over 30 academic papers and holds more than 20 invention patents. His work significantly impacts robotics and intelligent systems, blending theoretical foundations with practical applications in automation and control.

Professional Profile

Scopus

🎓 Education 

Dr. Weimin Xu pursued all his academic qualifications from Northeastern University, China. He began with a Bachelor’s degree in Automation in 1985, where he gained foundational knowledge in electrical and mechanical systems. With a growing interest in system dynamics and process automation, he continued his studies at the same university, earning a Master’s degree in Control Science and Engineering in 1992. Driven by a deep curiosity about system behavior and advanced control theories, he completed his Ph.D. in Control Science and Engineering in 1997. 🧠 His doctoral research laid the groundwork for his current expertise in nonlinear and intelligent control systems. Later, in 2013, Dr. Xu broadened his international academic horizon through a one-year visiting research program at the University of Southern California, where he collaborated with global experts and explored modern advancements in robotics and adaptive control. 🌐

👨‍🏫 Experience 

Dr. Xu began his professional journey in academia shortly after completing his Ph.D. in 1997. His early career involved contributing to control engineering projects and mentoring students at various institutions. Since 2009, he has been serving as a faculty member at Shanghai Maritime University, actively involved in teaching, supervising graduate students, and leading advanced research in control systems. 🏫 His academic responsibilities are complemented by hands-on research in intelligent systems and automation. In 2013, he was a visiting scholar at the University of Southern California, a pivotal experience that allowed him to engage with cutting-edge research and collaborate internationally. Over the years, Dr. Xu has become a recognized expert in the control and automation field, integrating theoretical knowledge with real-world applications in robotics, crane systems, and intelligent automation. ⚙️ His contributions have significantly enhanced the university’s research capabilities in engineering and intelligent control.

🔍 Research Interests 

Dr. Xu’s research explores the dynamic landscape of control theory and intelligent systems. His key focus areas include nonlinear system theory, adaptive control, and sliding mode control—each critical for understanding and controlling complex engineering systems. ⚙️ He is particularly passionate about robot manipulator control, where precision and adaptability are essential. In addition, Dr. Xu’s work delves into bridge crane state detection and intelligent control, reflecting his commitment to real-world industrial applications. 🚢 His research often integrates classical control methodologies with modern AI techniques, creating intelligent, robust, and adaptive control strategies. Dr. Xu continually investigates how automation can enhance operational efficiency and safety in engineering systems. 🤖 His innovative approaches aim to bridge the gap between control theory and practice, ultimately improving the reliability and intelligence of machinery across various sectors.

🏅 Awards 

Throughout his academic career, Dr. Xu has received multiple awards and recognitions that highlight his contributions to control engineering and intelligent systems. 🏆 His work on bridge crane detection and robotic control has earned accolades for both innovation and practical relevance. With more than 20 authorized invention patents, many of which focus on automation and intelligent detection, Dr. Xu’s inventive spirit has been consistently celebrated at national and institutional levels. 🇨🇳 He has also been recognized for excellence in research and teaching at Shanghai Maritime University, where he has played a pivotal role in advancing engineering education. His dedication to integrating cutting-edge research into student learning and real-world applications has made him a valuable mentor and leader. Dr. Xu’s achievements are a testament to his commitment to continuous innovation and the impactful dissemination of knowledge in the engineering community. 📘

📚 Top Noted Publications 

Dr. Xu has published over 30 peer-reviewed academic papers, contributing significantly to nonlinear systems and intelligent control. His research is widely cited, reflecting his influence in the academic community. 📖 Some of his representative publications include:

1. Xu, W., et al. (2021)

Title: Adaptive Sliding Mode Control for Robot Manipulators with Input Nonlinearity
Journal: Robotics and Autonomous Systems
Citations: 45

Summary:
This paper presents an adaptive sliding mode control (ASMC) approach designed specifically for robot manipulators with significant input nonlinearities such as dead zones and input saturation. The authors develop a robust controller that adapts in real time to system uncertainties and unmodeled dynamics while preserving stability and convergence.

Key Contributions:

  • A novel ASMC framework incorporating adaptive laws to handle unknown input nonlinearities.

  • Lyapunov-based stability analysis ensures system convergence.

  • Simulation and experimental results on a 2-DOF manipulator show improved trajectory tracking and robustness compared to traditional SMC.

Impact:
Widely cited for its robustness in dealing with non-ideal actuator behavior in robotics applications.

2. Xu, W., et al. (2020)

Title: Intelligent Control of Bridge Crane Based on Sensor Fusion and Neural Networks
Conference: IEEE Conference on Control and Automation
Citations: 30

Summary:
This work proposes an intelligent control strategy for bridge cranes using a combination of sensor fusion (gyroscopes, vision, encoders) and neural network-based control algorithms. The aim is to reduce swing and improve payload accuracy during transport.

Key Contributions:

  • Development of a sensor fusion algorithm to accurately estimate the payload position and velocity.

  • Neural networks are trained to mimic optimal control behavior under different load conditions.

  • Simulation and real-time experiments confirm the effectiveness in swing suppression and trajectory accuracy.

Impact:
Recognized for advancing automation in industrial lifting systems using AI-based techniques.

3. Xu, W., et al. (2019)

Title: Nonlinear Adaptive Control with Observer for Uncertain Systems
Journal: Wireless Networks
Citations: 28

Summary:
This paper addresses the control of nonlinear uncertain systems using a nonlinear adaptive control scheme combined with an observer design to estimate unmeasurable states. The focus is on wireless-enabled systems with uncertain parameters and delays.

Key Contributions:

  • Design of a state observer for nonlinear systems with partially known dynamics.

  • Use of adaptive control to handle parametric uncertainties and time-varying disturbances.

  • Stability proofs using Barbalat’s Lemma and Lyapunov theory.

Impact:
Cited in research on wireless sensor-actuator networks and embedded control in uncertain environments.

4. Xu, W., et al. (2018)

Title: Intelligent Fault Detection in Industrial Systems using Hybrid Neural Models
Journal: Expert Systems with Applications
Citations: 52

Summary:
This paper proposes a hybrid neural network model for fault detection in industrial systems, combining convolutional neural networks (CNNs) and recurrent neural networks (RNNs). It targets early-stage anomaly detection in time-series data from manufacturing sensors.

Key Contributions:

  • A novel hybrid model that captures both spatial features (via CNN) and temporal dynamics (via RNN).

  • A feature fusion strategy for improved diagnostic performance.

  • Evaluation on real-world datasets from manufacturing processes shows high accuracy and low false alarm rates.

Impact:
One of the most cited papers in intelligent maintenance and predictive diagnostics, influencing work on Industry 4.0 and smart manufacturing.

Conclusion

Dr. Weimin Xu is a strong candidate for the Best Researcher Award due to his broad and practical research contributions, notable patent record, and long-standing academic service. His work bridges theoretical advancement and practical application in intelligent control systems, aligning with the priorities of innovation-driven recognition.

Tingwei Zhou | Energy | Best Researcher Award

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Prof. Tingwei Zhou | Energy | Best Researcher Award

Prof. Tingwei Zhou, Southwest University, China

Prof. Tingwei Zhou (周廷伟), born in February 1988, is an Associate Professor at the School of Physical Science and Technology, Southwest University, China. A member of the Communist Party, he specializes in theoretical research on material design, optoelectronic device performance, and quantum entanglement, often combining artificial intelligence with physical chemistry. With over 27 SCI papers and an H-index of 18, his work has significantly advanced the understanding of superatomic perovskites. He actively contributes to teaching, high-performance computing infrastructure, and peer-review processes for renowned journals. He is passionate about scientific exploration, education, and interdisciplinary collaboration.

Publication Profile

Scopus

🎓 Education

Prof. Zhou earned his PhD in Optical Engineering from Chongqing University (2016–2019), focusing on the frontier of superatomic materials. He obtained his MSc in Theoretical Physics from Southwest University (2013–2016), where he began his exploration of computational modeling and material theory. His undergraduate degree in Physics was completed at Zunyi Normal College (2009–2013). With a solid educational foundation in both theoretical and applied physics, his academic journey reflects a deep interest in quantum mechanics, materials science, and interdisciplinary research, forming the basis of his innovative approach to perovskite material studies and quantum phenomena. 🧪📚

🧑‍🏫 Experience

Since 2023, Prof. Zhou has served as an Associate Professor at Southwest University, where he previously held a Lecturer position (2019–2023). He has taught core subjects including computational physics, electrodynamics, and linear algebra, with experience in online, offline, and hybrid modes. Zhou has guided numerous undergraduates and postgraduates in research, thesis writing, and publishing. He also built and now manages a high-performance computing lab supporting theoretical modeling. Beyond teaching, he contributes to academic administration, graduate admissions, and collaborative research across physics and engineering disciplines. His experience showcases strong innovation, mentorship, and institutional service. 💻🧑‍🎓

🔬 Research Focus

Prof. Zhou’s research focuses on the design and performance evaluation of superatomic and perovskite materials for applications in energy, optoelectronics, and catalysis. He explores properties like crystal structure, adsorption energy, charge density, and activation energy using first-principles simulations. His interests extend to quantum entanglement theory and integrating artificial intelligence into physical chemistry. He also pioneers theoretical frameworks linking category theory to quantum physics. His published work in top-tier journals highlights advances in device efficiency, defect engineering, and stability mechanisms in functional materials. His cross-disciplinary approach pushes the boundaries of theoretical materials science and quantum innovation. ⚛️🧠💡

Publication Top Notes

📘 Coherence Programming for Efficient Linearly Polarized Perovskite Light-Emitting Diodes – Xiao, M.; Yang, J.; Zhang, W.; Wang, J.; Chen, P. – ACS Nano, 2024 – 📈 Cited by: 1

🌞 Facile Surface Regulation for Highly Efficient and Thermally Stable Perovskite Solar Cells via Chlormequat Chloride – Yang, B.; Lin, P.; Zhou, T.; Cai, B.; Zhang, W. – Chinese Chemical Letters, 2024

🌿 Facile and Sustainable Interface Modulation via a Self-Assembly Phosphonate Molecule for Efficient and Stable Perovskite Photovoltaics – Yang, B.; Cai, B.; Zhou, T.; Zheng, X.; Zhang, W. – Chemical Engineering Journal, 2024 – 🔟 Cited by: 10

🔬 A Construction Method of the Wave–Particle Entanglement State of the Particle System – Zhou, T. – Modern Physics Letters B, 2024

Kumar Mallem | Energy | Best Researcher Award

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Dr. Kumar Mallem | Energy | Best Researcher Award

Dr. Kumar Mallem, Hong Kong University of Science and Technology, Hong Kong

Dr. Kumar Mallem is a researcher in electronic and computer engineering, specializing in quantum rod light-emitting diodes (QRLEDs) and advanced optoelectronic materials. He is pursuing a Ph.D. at the Hong Kong University of Science and Technology (HKUST), focusing on next-generation display and lighting applications. His research spans quantum dot and quantum rod LEDs, perovskite solar cells, and silicon-based photovoltaics. Dr. Mallem has extensive experience in device fabrication and characterization, with multiple high-impact publications and patents. Recognized with prestigious awards, including the Distinguished Paper Award at SID Display Week 2025, he continues to advance energy-efficient lighting technologies.

Publication Profile

Google Scholar

Education 🎓

Dr. Kumar Mallem is currently pursuing a Ph.D. in Electronic and Computer Engineering at HKUST (2020–2025) under Prof. Abhishek Kumar Srivastava, focusing on quantum rod light-emitting diodes for future display applications. He earned an M.Tech. in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, Kakinada (2012–2014), conducting research on HfO₂/Ge stacks for MOS devices at IIT Bombay under Prof. Saurabh Lodha. His B.Tech. in the same field was completed at AGCIT, JNTU Kakinada (2007–2011). His educational background integrates semiconductor device engineering, optoelectronics, and materials science, equipping him with expertise in advanced display and photovoltaic technologies.

Experience 🏆

Dr. Kumar Mallem has significant research experience in optoelectronics and semiconductor devices. Since 2020, he has been a Ph.D. researcher at HKUST, developing quantum rod LEDs and optimizing their efficiency. From 2015 to 2019, he worked as a research assistant at Sungkyunkwan University, South Korea, under Prof. Junsin Yi, specializing in silicon solar cells, thin-film transistors (TFTs), and MOS devices. His hands-on expertise includes device fabrication, nanomaterials assembly, and advanced characterization techniques. His work contributes to energy-efficient display technologies and next-generation solid-state lighting.

Awards & Honors 🏅

Dr. Kumar Mallem has received several prestigious recognitions, including the Distinguished Paper Award at SID Display Week 2025 for his work on highly efficient QRLEDs. He was awarded the Hong Kong PhD Fellowship Scheme (2020–2025) for academic excellence. He also won the Excellent Paper Award at the Asia-Pacific Forum on Renewable Energy in 2018. His contributions to optoelectronic devices and energy-efficient lighting technologies have earned him international recognition, reflecting his impact in advancing quantum dot and nanomaterial-based displays.

Research Focus 🔬

Dr. Kumar Mallem specializes in quantum rod and quantum dot light-emitting diodes, perovskite LEDs, silicon solar cells, and advanced optoelectronic materials. His research aims to enhance device efficiency, suppress charge leakage, and improve external quantum efficiency for high-performance display and lighting technologies. He works extensively with solution-processed nanomaterials, carrier injection engineering, and interface optimization to develop next-generation optoelectronic devices. His contributions to solid-state lighting and energy-efficient display technologies push the boundaries of modern photonic applications.

Publication Top Notes

  • Quantum‐Rod On‐Chip LEDs for Display Backlights with Efficacy of 149 lm W−1 |  Advanced Materials | 55 | 2021
  • Molybdenum oxide: A superior hole extraction layer for Si solar cells | Materials Research Bulletin | 53 | 2019
  • Influence of small size pyramid texturing on Ag-screen printed Si solar cells | Materials Science in Semiconductor Processing | 45 | 2018
  • Control of size and distribution of silicon quantum dots for solar cells | Renewable Energy | 33 | 2019
  • Ultralow roll‐off quantum dot LEDs using engineered carrier injection layer | Advanced Materials | 30 | 2023
  • Ambient annealing influence on MoOx layer for carrier-selective contact solar cells | Materials Science in Semiconductor Processing | 29 | 2019
  • MoOx work function & interface analysis for hole-selective Si heterojunction solar cells | Applied Surface Science | 24 | 2021
  • Solution-processed red, green, and blue quantum rod LEDs | ACS Applied Materials & Interfaces | 22 | 2022
  • High-efficiency crystalline silicon solar cells: A review  | 19 | 2019
  • Light scattering properties of multi-textured AZO films for Si thin film solar cells |  Applied Surface Science | 19 | 2018

NIMET YILDIRIM TİRGİL | Engineering | Best Researcher Award

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Assoc. Prof. Dr. NIMET YILDIRIM TİRGİL | Engineering | Best Researcher Award 

Associate Professor, at Ankara Yildirim Beyazit University, Turkey.

Dr. Nimet Yildirim Tirgil is an Assistant Professor in Biomedical Engineering at Ankara Yıldırım Beyazıt University. She specializes in biosensor technology, nanomaterials, and electrochemical analysis for environmental and medical applications. With a strong background in bioengineering and biochemistry, Dr. Yildirim Tirgil has led multiple research projects funded by TÜBİTAK and TÜSEB, focusing on biosensing platforms for rapid diagnostics, including COVID-19 antibody detection, tumor DNA analysis, and neurotransmitter monitoring. Her work has led to several patents, high-impact publications, and collaborations in the field of biosensor innovation. Dr. Yildirim Tirgil is committed to advancing analytical chemistry and nanotechnology to develop cutting-edge biosensing solutions.

Professional Profile

Scopus

ORCID

Google Scholar

🎓 Education

Dr. Yildirim Tirgil holds a Ph.D. in Bioengineering from Northeastern University (2016), where she developed next-generation biosensor systems for environmental water quality monitoring under the supervision of Prof. April Z. Gu. She earned her M.Sc. in Biochemistry from Ege University (2009), focusing on bacterial sensors and nanomaterial-modified electrodes, and completed her B.Sc. in Biochemistry (2007) from the same university. Her academic journey has equipped her with interdisciplinary expertise in bioengineering, nanotechnology, and analytical chemistry, enabling her to contribute significantly to biosensor research and development.

💼 Experience

Dr. Yildirim Tirgil has been an Associate Professor at Ankara Yıldırım Beyazıt University since 2018, leading research in biomedical engineering. She has extensive experience in supervising graduate theses, mentoring students in biosensor technology, and developing nanomaterial-based detection systems. She has served as Principal Investigator on numerous national and international research projects, including the development of electrochemical biosensors for detecting environmental pollutants, disease biomarkers, and bioterrorism agents. Her collaborations extend to government-funded research programs and industrial partnerships, advancing biosensing technologies for healthcare, food safety, and environmental monitoring.

🔬 Research Interests

Dr. Yildirim Tirgil’s research focuses on biosensor development, nanotechnology, and electrochemical analysis for medical diagnostics and environmental applications. Her primary interests include:

  • Aptamer-based biosensors for disease biomarker detection.

  • Electrochemical sensing platforms for rapid pathogen and toxin identification.

  • Nanomaterial-modified electrodes for enhanced biosensing performance.

  • Wearable and paper-based biosensors for real-time health monitoring.

  • Smart biosensor integration for food safety and environmental protection.

Her interdisciplinary research integrates biotechnology, analytical chemistry, and materials science to develop innovative biosensing solutions with high sensitivity and specificity.

🏆 Awards & Recognitions

Dr. Yildirim Tirgil has received multiple awards for her groundbreaking work in biosensor technology, including:

  • Best Research Paper Award in Analytical Chemistry (2024).

  • TÜBİTAK Research Excellence Award for contributions to biosensor innovation (2023).

  • Outstanding Young Scientist Award in Biomedical Engineering (2022).

  • Top Cited Researcher Recognition in ACS Applied Polymer Materials (2025).

  • Innovation Award for the development of a smartphone-assisted biosensor system (2021).

Her achievements highlight her impact on sensor technology and analytical diagnostics, making her a leading figure in biosensing research.

📚 Top Noted Publications

Dr. Yildirim Tirgil has published extensively in high-impact journals. Some of her key publications include:

  • Sanattalab, E., Ayni, E., Kaya, K., & Yildirim‐Tirgil, N. (2025).
    Applications of Magnetic Nanocomposites in Lateral Flow Assays.
    Journal: ChemistrySelect
    Summary: This paper explores the use of magnetic nanocomposites in lateral flow assays, enhancing sensitivity and specificity for rapid diagnostic applications.

  • Yildirim-Tirgil, N., Ayni, E., & Kaya, K. (2025).
    Electrochemical Detection of SARS-CoV2 IgG Using Magnetic Nanocomplexes.
    Journal: Journal of Nanoparticle Research
    Summary: The study presents a novel electrochemical biosensor utilizing magnetic nanocomplexes for detecting SARS-CoV-2 IgG antibodies, providing a potential point-of-care diagnostic solution.

  • Avci, M. B., Kocer, F., Yildirim-Tirgil, N., et al. (2025).
    Optofluidic Guided-Mode Resonance Platform for Binding Kinetics.
    Journal: IEEE Sensors Journal
    Summary: This research introduces an optofluidic guided-mode resonance platform for real-time analysis of biomolecular interactions, focusing on binding kinetics measurements.

  • Yildirim-Tirgil, N., et al. (2025).
    Development of a Polypyrrole–Chitosan Nanofiber-Based Enzymatic Biosensor.
    Journal: ACS Applied Polymer Materials
    Summary: The paper discusses the fabrication and characterization of an enzymatic biosensor using polypyrrole–chitosan nanofibers for enhanced sensitivity in biochemical detection.

  • Didarian, R., Ozbek, H. K., Ozalp, V. C., Erel, O., & Yildirim-Tirgil, N. (2024).
    Enhanced SELEX Platforms for Aptamer Selection.
    Journal: Molecular Biotechnology
    Summary: The study proposes improvements in SELEX (Systematic Evolution of Ligands by EXponential Enrichment) methodologies for more efficient aptamer selection, applicable in biosensing and therapeutics.

  • Cuhadar, S. N., Durmaz, H., & Yildirim-Tirgil, N. (2024).
    Multi-Detection of Serotonin and Dopamine via Electrochemical Aptasensor.
    Journal: Chemical Papers
    Summary: This paper introduces an electrochemical aptasensor for the simultaneous detection of serotonin and dopamine, contributing to advancements in neurochemical monitoring.

  • Sahin, S., & Tirgil, N. Y. (2024).
    Circulating Tumor DNA (ctDNA) Detection via Electrochemical Biosensing.
    Journal: MANAS Journal of Engineering
    Summary: The study develops an electrochemical biosensor for detecting circulating tumor DNA (ctDNA), offering potential applications in early cancer diagnostics.

Conclusion

Dr. Nimet Yildirim Tirgil is a highly qualified and competitive candidate for the Best Researcher Award. Her groundbreaking work in biosensors, nanomaterials, and biomedical applications, along with strong project leadership and patent contributions, position her as a leader in her field. Enhancing international collaborations and industry partnerships could further elevate her candidacy.

Iqbal Singh | Supercapacitor | Best Researcher Award

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Mr. Iqbal Singh | Supercapacitor | Best Researcher Award

Mr. Iqbal Singh, Southern Illinois University Edwardsville, United States

Iqbal Singh is a dedicated researcher and engineer specializing in electrical and computer engineering. He is currently pursuing his Master of Science at Southern Illinois University Edwardsville (SIUE), focusing on computational modeling of supercapacitors. With a strong academic background, he holds a B.Tech in Electrical & Electronics Engineering from IK Gujral Punjab Technical University. His expertise spans power systems, digital VLSI design, and renewable energy simulations. As a research assistant, he has contributed to multiple IEEE and Elsevier publications. Passionate about innovation, he has also taught electrical engineering courses and actively volunteers in mentorship programs. ⚡📡

Publication Profile

Scopus

Education 🎓📚

Iqbal Singh is advancing his expertise in Electrical and Computer Engineering through an M.S. at SIUE (2023-2025). His research focuses on energy storage systems, particularly supercapacitors, using COMSOL Multiphysics for thermal and electrical simulations. He previously earned a B.Tech in Electrical & Electronics Engineering from IK Gujral Punjab Technical University, graduating with an 8.05/10 CGPA. His coursework covered Power System Analysis, Digital VLSI Design, Bioinstrumentation, and High-Frequency Design. Throughout his academic journey, he has engaged in various workshops, including Machine Learning, Cloud Computing, and Renewable Energy Simulation, solidifying his technical proficiency. ⚙️🔋

Experience 🏫🔍

Iqbal Singh is currently a Graduate Research Assistant at SIUE, where he conducts advanced simulations on supercapacitors and publishes in leading scientific journals. Previously, he served as a Lecturer in Electrical Engineering at Satyam Polytechnic & Pharmacy College (2021-2023), teaching Energy Conservation, Electrical Engineering Fundamentals, and Digital Electronics. His industry-relevant expertise extends to microcontrollers, PLC programming, circuit design, and MATLAB simulations. Additionally, he has led multiple research projects, including density-based traffic light control systems and thermal modeling of MoS₂ electrodes. His professional journey reflects a blend of academic rigor and practical implementation in energy storage and power systems. 🏗️🔌

Awards & Honors 🏆🎖️

Iqbal Singh has been recognized for his outstanding academic and research contributions. He was featured in GradNews 2025 by SIUE and secured 1st position twice in the B.Tech Merit List at IK Gujral Punjab Technical University. His research publications in IEEE, Elsevier, and SPIE have garnered international recognition. He has also been awarded for his exceptional work in computational modeling and optimization of supercapacitors. Through active participation in professional societies like IEEE and SPIE, he continues to enhance his technical knowledge and contribute to groundbreaking research in electrical engineering. 🌍📖

Research Focus 🔬⚡

Iqbal Singh’s research primarily revolves around supercapacitor optimization, energy storage systems, and computational modeling. His work includes analyzing thermal effects on MoS₂ electrodes in KOH electrolytes, utilizing convex optimization techniques for improving supercapacitor energy density, and investigating free-space optics transmission. His interdisciplinary approach integrates digital VLSI design, renewable energy simulations, and biomedical applications of hydrogels. His research, published in IEEE, Elsevier, and SPIE conferences, aims to enhance energy storage efficiency, bridging the gap between computational modeling and practical applications in electrical engineering. 🔋📡

Publication Top Notes

  • “A Review on Supercapacitors: Development Trends, Challenges, and Future Perspectives” (2025)

  • “Computational Modeling of Thermal Effects on MoS₂ Electrodes in KOH Electrolyte” (2024)

    • Presented at IEEE ICIITCEE 2024, Bangalore, India

  • “Convex Optimization Method for Modeling Energy Density of Supercapacitor” (2024)

  • “Maximizing Supercapacitor Performance: Boosting Energy Storage with Convex Optimization” (2024)

  • “Overview of Hydrogels and Hydrogels-Based Actuators for Biomedical Applications” (2022)

  • “A 160 Gbps Free-Space Optics Transmission Enabled by DP-256-QAM and DSP Algorithms” (2022)

Gang Li | Mechanical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Gang Li | Mechanical Engineering | Best Researcher Award

Associate professor, Northeast Electric Power University, China

🔬 Assoc. Prof. Dr. Gang Li is a distinguished researcher in mechanical manufacturing and automation at Northeast Electric Power University. He holds a PhD from South China University of Technology and has led numerous projects in metal material processing, mechanical equipment development, and metrological verification. His expertise includes Ti-6Al-4V material processing, intelligent metering systems, and unmanned technology research. He has authored 10+ SCI papers, holds multiple patents, and has contributed to national and provincial research projects. Passionate about innovation and automation, he actively explores advancements in mechanical engineering. ✨🔧📡

 

Publication Profile

Scopus

🎓 Educational Background

Assoc. Prof. Dr. Gang Li has a strong academic foundation in mechanical engineering and automation. He earned his PhD (2013-2017) 🎓 from South China University of Technology, specializing in Mechanical Manufacturing and Automation. Prior to this, he completed a Master’s degree (2010-2013) 🏅 at Changchun University of Science and Technology, focusing on Machinery Manufacturing and Automation. His first Master’s degree (2004-2008) 🏆 was from Inner Mongolia University of Science and Technology, specializing in Mechanical Design, Manufacture, and Automation. His extensive academic training has contributed significantly to his expertise in mechanical innovation and research. 🔧📡

🔬 Project Experience

Assoc. Prof. Dr. Gang Li has contributed to multiple mechanical and automation research projects. His work on Ti-6Al-4V cutting and surface strengthening technology 🏗️ optimized machining parameters and tools for titanium alloy casing. He played a key role in the Guangdong Provincial Energy Metering and Verification Center ⚡, overseeing equipment installation and debugging. His research on intelligent, unmanned metrological verification 🏭 focused on fault detection and automation. As the principal investigator of the intelligent metering turnover cabinet 📟, he developed a system for efficient energy meter management, enhancing automation and operational efficiency. 🔧🚀

🔬 Research Focus

Assoc. Prof. Dr. Gang Li specializes in mechanical engineering 🏭, with a focus on materials processing and surface strengthening technologies. His research explores electropulsing-assisted ultrasonic strengthening ⚡🔊, particularly its impact on fatigue properties of Ti–6Al–4V alloys 🏗️. He also investigates fretting friction characteristics 🔧, optimizing heat-treated alloys for enhanced durability. His contributions in metallurgical and materials science 🏺 are crucial for improving the performance and lifespan of structural components in aerospace ✈️, automotive 🚗, and energy sectors ⚡. With multiple publications and citations, his work advances manufacturing and materials innovation. 🚀

Publication Top Notes

Effect of Electropulsing-Assisted Ultrasonic Strengthening on Fatigue Properties of HIP Ti–6Al–4V Alloy

Study on surface fretting friction properties of heat-treated HIP Ti-6Al-4 V alloy after heating-assisted ultrasonic surface strengthening

Samia Moulebhar | Energy Award | Best Researcher Award

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Ms. Samia Moulebhar | Energy Award | Best Researcher Award

Ms. Samia Moulebhar, universite mostaganem, Algeria

Ms. Samia Moulebhar is a dedicated researcher and PhD candidate in Embedded Electronic Systems at Université Mostaganem (2023). With a Master’s in Instrumentation from Université Belhadj Bouchaib Ain Temouchent, her work focuses on applying artificial intelligence to diagnostics and renewable energy solutions. Samia has presented at international conferences on the performance of organic solar cells and has contributed significantly to publications in advanced solar technology, including a paper on optimizing solar cell efficiency using multiobjective genetic algorithms. Proficient in tools like Matlab, SCAPS-1D, and Proteus, Samia also lectures in electronics and physics. 💻📈

 

Publication Profile

Orcid

Academic Background 

Ms. Samia Moulebhar is currently pursuing a PhD in embedded electronic systems (2023) and holds a Master’s in Instrumentation from Université Belhadj Bouchaib Ain Temouchent (2022). Her Bachelor’s in Electrical Engineering focused on electronics, and she has also earned a BTS in database informatics. Proficient in tools such as Matlab, SCAPS-1D, Proteus, and Arduino, she demonstrates strong technical capabilities essential for advanced research in electronics and renewable energy systems.

Research Contributions

Ms. Moulebhar has a solid record of research publications, particularly in the field of organic solar cell technology. She has presented at multiple notable conferences, such as the First National Conference on Material Sciences and Renewable Energy, where she discussed improvements in organic solar cell efficiency, and at the International Conference on Renewable Energies and Power Systems (ICREPS 2024). Her presentation on absorber layer effects in organic solar cells at the Workshop on Sustainability and Advanced Technologies is a testament to her commitment to advancing sustainable energy solutions.

Research Focus

Her published work includes an influential paper on optimizing organic solar cells using hybrid approaches, incorporating NSGA-II, SCAPS-1D simulation, and response surface methodology. This research, featured in physica status solidi (a), showcases her focus on cutting-edge optimization techniques, addressing both performance and efficiency in solar technology.

Professional Experience

With teaching experience at Université Belhadj Bouchaib and roles in instrumentation and computer services, Ms. Moulebhar combines academic research with practical application. This background enhances her capability to bridge theoretical knowledge with real-world applications, particularly in the sustainable energy sector.

Conclusion

Ms. Samia Moulebhar is a promising candidate for the Best Researcher Award due to her focused research on organic solar cell technologies, extensive conference participation, and a track record of published research. Her technical expertise and ongoing contributions to renewable energy systems demonstrate her potential as an innovative researcher in the field of electronics and sustainable technologies.

 

Publication Top Notes

Hybrid Optimization Approach Using Multiobjective Genetic Algorithm NSGA‐II, SCAPS‐1D Simulation, and Response Surface Methodology for Organic Solar Cell Analysis