Ping Li | Mechanical Engineering | Best Researcher Award

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

Guangzhou University, China

Dr. Ping Li is an Associate Professor of Mechanical Engineering at the School of Mechanical and Electrical Engineering, Guangzhou University, China. With a PhD from South China University of Technology, Dr. Li specializes in micro-nano functional surface fabrication, microscale interfacial fluid transport, and thermal optimization for electronic devices. His research integrates advanced microfabrication techniques with fluid dynamics and materials science, contributing significantly to the fields of microstructured surface engineering, thermal management, and photovoltaic performance optimization. He has authored numerous peer-reviewed articles in high-impact international journals and serves as a master’s student advisor.

Publication Profile 

Orcid

Educational Background 🎓

  • 2011–2015:
    PhD in Mechanical Engineering
    South China University of Technology, Guangzhou, China

    • Dissertation: Characterized Micro-structured array of ground surface and its functional properties

    • Supervisor: Prof. Jin Xie

    • Sponsored by NSFC Program

  • 2010–2011:
    M.Sc. in Mechanical Engineering
    South China University of Technology, Guangzhou, China

  • 2006–2010:
    B.Eng. in Process Equipment and Control Engineering
    University of South China, Hengyang, China

Professional Experience 💼

  • 2023–Present
    Associate Professor, Master Tutor
    Guangzhou University, School of Mechanical and Electrical Engineering

  • 2017–2023
    Lecturer, Master Tutor
    Guangzhou University, School of Mechanical and Electrical Engineering

  • 2015–2017
    Engineer
    CNPC Tubular Goods Research Institute, Xi’an, China

    • State Key Laboratory for Performance and Structure Safety of Petroleum Tubular Goods and Equipment Materials

Research Interests 🔬

  1. Micro-nano Functionalization Fabrication and Materials Processing

    • Surface microstructuring, wettability control, surface roughness analysis

  2. Microscale Interfacial Fluid Transport Phenomena

    • Capillary action, thin film flows, liquid bridge dynamics using AFM

  3. Optimization Thermal Design for Electronic Devices

    • Microfluidic heat sinks, thermal diode design, solar cell interface structures

Awards and Honors🏆✨

While not explicitly listed in the CV, the following inferred distinctions apply:

  • NSFC-sponsored PhD Research Project

  • First-authored and corresponding author roles in multiple high-impact journals such as Physics of Fluids, Nanomaterials, Langmuir, and Applied Surface Science

  • Research contributions cited in interdisciplinary fields, including thermal science, optics, and materials science

Conclusion🌟

Dr. Ping Li is a rising expert in the interdisciplinary domain of micro-nano engineering, thermal management, and interfacial physics. Through his academic and industrial experiences, he bridges theoretical modeling with practical engineering applications, particularly in microscale fabrication and energy systems. His continued research output and mentorship roles position him as a significant contributor to both academic research and engineering innovation in China.

Publications 📚

📘 Unidirectional Heat and Fluid Transfer Performances of a Thermal Diode with Fishbone-Microstructure Wicks
🧪 Journal of Materials Chemistry C, 2024
🔗 DOI: 10.1039/D4TC03236E
👥 Ping Li, Jiale Huang, Haifeng Qiu, Liangming Deng, Jiawei Liao, Tuo Jin, Yongfeng Zheng, Jianhua Xiang

🏗️ Topological Design for Isotropic Metamaterials Using Anisotropic Material Microstructures
📘 Engineering Analysis with Boundary Elements, 2024-05
🔗 DOI: 10.1016/j.enganabound.2024.01.025
👥 Jianhua Xiang, Jing Chen, Yongfeng Zheng, Ping Li, Jiale Huang, Zhipeng Chen

📐 Hierarchical Topology Optimization with Varying Micro-structural Aspect Ratios
📘 Engineering Analysis with Boundary Elements, 2023-11
🔗 DOI: 10.1016/j.enganabound.2023.07.044
👥 Yongfeng Zheng, Jianhua Xiang, Zhongyuan Liao, Ping Li, Xiwen Cai, Zhipeng Chen, Jiale Huang

🔥 Design and Thermal Performance of Thermal Diode Based on the Asymmetric Flow Resistance in Vapor Channel
📘 International Journal of Thermal Sciences, 2023-09
🔗 DOI: 10.1016/j.ijthermalsci.2023.108345
👥 Jianhua Xiang, Wenqiang Yang, Hongyan Liao, Ping Li, Zhipeng Chen, Jiale Huang

🍃 The Transitional Wettability on Bamboo-Leaf-like Hierarchical-Structured Si Surface Fabricated by Microgrinding
🧪 Nanomaterials, 2022-08-22
🔗 DOI: 10.3390/nano12162888
👥 Ping Li, Jinxin Wang, Jiale Huang, Jianhua Xiang

🧴 Study on Nitrile Oxide for Low-Temperature Curing of Liquid Polybutadiene
🧪 Materials, 2022-05-09
🔗 DOI: 10.3390/ma15093396
👥 Ping Li, Xiaochuan Wang

🔍 Evaluation on Ground Surface Accuracies of Large-Depth and Steeply Micro-Structured SiC Surfaces
📘 International Journal of Precision Engineering and Manufacturing, 2021-02-04
🔗 DOI: 10.1007/s12541-020-00442-5
👥 Ping Li, Xiaochu Liu, Junwu Chen

🧲 Influence of Lateral Movement on Level Behavior of Adhesion Force Measured Repeatedly by an Atomic Force Microscope (AFM) Colloid Probe in Dry Conditions
🧪 Materials, 2021-01-13
🔗 DOI: 10.3390/ma14020370
👥 Ping Li, Tianmao Lai

🧨 Synthesis and Curing of Allyl Urethane NIMMO-THF Copolyether with Three Functional Groups as a Potential Energetic Binder
📘 Central European Journal of Energetic Materials, 2020-03-26
🔗 DOI: 10.22211/cejem/119233
👥 Ping Li

🧪 Synthesis and Curing of AUT-PNIMMO with Three Functional Groups
📘 Polymer Korea, 2019-07-31
🔗 DOI: 10.7317/pk.2019.43.4.503
👥 Ping Li

💧 Direct Evidence of a Radius of Collection Area for Thin Film Flow in Liquid Bridge Formation by Repeated Contacts Using AFM
📘 Langmuir, 2019-05-07
👥 Ping Li

Xiaorui Yang | Robotics and Automation | Best Researcher Award

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Assoc. Prof. Dr. Xiaorui Yang | Robotics and Automation | Best Researcher Award

Hebei University of Science and Technology, China

Dr. Yang Xiaorui is an Associate Professor and Master’s Supervisor in the field of Electrical Engineering at Hebei University of Science and Technology. With a strong background in engineering electromagnetics and magnetic technology, Dr. Yang has significantly contributed to research on nano magnetic fluids, digital twin modeling, and their applications in energy harvesting, vibration damping, positioning systems, and biomedical engineering. She has authored multiple peer-reviewed papers in SCI and EI-indexed journals and has actively led and participated in several national and provincial research projects.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Electrical Engineering, Hebei University of Technology, 2018

Professional Experience 💼

  • Associate Professor, Hebei University of Science and Technology

  • Master’s Supervisor, Department of Electrical Engineering

  • Leading and participating in national and provincial scientific research projects focused on magnetic fluids and electromagnetic applications.

Research Interests 🔬

  • Engineering Electromagnetic Fields

  • Nano Magnetic Liquid Technology

  • Digital Twin Technology for Power Equipment

  • Energy Harvesting Technologies

  • Magnetic Fluid Applications in:

    • Friction-based power generation systems

    • Vibration damping and shock absorption

    • Precision positioning systems

    • Tumor hyperthermia treatments

    • Multi-physics field coupling and simulation modeling

Major Research Projects

  1. NSFC Youth Project (52307010) – Research on energy transfer in magnetic liquid friction-electromagnetic composite systems (2024–2026) – Project Leader

  2. Hebei Provincial NSF Youth Project (E2020208039) – Friction nano electromagnetic vibration energy harvesting using magnetic liquid (2020–2022) – Project Leader

  3. NSFC General Project (51877066) – Tuned liquid damping method using magnetic liquid for wind power towers (2019–2022) – Fourth participant

  4. Hebei Provincial NSF General Project (E2015202241) – Experimental research on magnetic liquid damping shock absorbers (2015–2017) – Third contributor

Awards and Honors🏆✨

  • Recipient of National Natural Science Foundation of China Youth Project Grant

  • Recipient of Hebei Provincial Natural Science Foundation Youth Project Grant

  • Recognized for significant contributions to multiphysics modeling and magnetic fluid applications in both academic and industrial settings.

Conclusion🌟

Dr. Yang Xiaorui is a dynamic and innovative researcher in the field of electrical engineering, particularly known for her pioneering work on nano magnetic fluids and electromagnetic energy systems. Her work bridges theoretical modeling, simulation, and experimental validation, pushing the boundaries of electromagnetic applications in sustainable energy, smart equipment, and medical technologies. With a growing number of high-impact publications and successful project leadership, she continues to advance cutting-edge research and mentor the next generation of engineers and scientists.

Publications 📚

  1. 🔋 “Output Characteristics of an Electromagnetic-Triboelectric Hybrid Energy Harvester Based on Magnetic Liquid”
    👩‍🔬 Yang Xiaorui, Zheng Hao, Shao Jinlong, Zhang Yan, Chen Ying
    📰 ACS Applied Electronic Materials, 2023, 5(2): 775–783
    📌 Indexed in SCI ✅

  2. 🌊 “Effect of Magnetic Field on Output Performance of Magnetic Liquid Vibration Energy Harvester”
    👩‍🔬 Yang Xiaorui, Chen Ying, Zhang Yan, Yang Wenrong
    📰 COMPEL – The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2023, 42(1): 38–47
    📌 Indexed in SCI ✅

  3. ⚡ “Study on Mechanical-Electrical Coupling Mechanism of Magnetic Liquid Triboelectric-Electromagnetic Composite Energy Harvester”
    👩‍🔬 Yang Xiaorui, Zheng Hao, Long Hui, An Guoqing, Yang Wenrong
    📰 Proceedings of the CSEE, 2024, 44(11): 4406–4417
    📌 Indexed in EI 📈

  4. 🎯 “A Tuned Triboelectric Nanogenerator Using a Magnetic Liquid for Low-Frequency Vibration Energy Harvesting”
    👩‍🔬 X. R. Yang, H. Zheng, H. B. Ren, et al.
    📰 Nanoscale, 2024, 16(4): 1915–1923
    📌 Indexed in SCI ✅

  5. 🛰️ “Analysis of Adjustable Magnetic Fluid Damper in DC Magnetic Field for Spacecraft Applications”
    👩‍🔬 Xiaorui Yang, Qingxin Yang, Wenrong Yang, Bing Guo, Lifei Chen
    📰 IEEE Transactions on Applied Superconductivity, 2018, 28(3): 0602305
    📌 Indexed in SCI ✅

  6. 🛠️ “Damping Analysis and Experimental Study of Piston-Type Magnetic Liquid Shock Absorber”
    👩‍🔬 Yang Xiaorui, Yang Qingxin, Guo Bing, Chen Lifei, Yang Wenrong
    📰 Journal of Instrumentation, 2017, 38(8): 2071–2077
    📌 Indexed in EI 📈

  7. 🧲 “Magnetic Field Design and Temperature Distribution Study of Magnetic Fluid Tumor Hyperthermia”
    👩‍🔬 Yang Xiaorui, Yang Wenrong, Yang Qingxin, Liu Dan
    📰 Functional Materials, 2017, 48(10): 10089–10093
    📌 Indexed in SCI ✅

 

 

 

Guojun Wu | Civil Engineering | Best Researcher Award

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Mr. Guojun Wu | Civil Engineering | Best Researcher Award

Professor at Chinese Academy of Sciences, China

Professor Guojun Wu is a distinguished researcher in geotechnical and underground engineering, serving at the Institute of Rock and Soil Mechanics, Chinese Academy of Sciences in Wuhan, China. With over two decades of impactful academic and industry contributions, he specializes in underground engineering disaster mechanisms and support control technologies. He has led 14 completed and 3 ongoing research projects, authored 78 peer-reviewed publications, published 4 books, and holds 37 patents (with 4 pending). He actively contributes to the advancement of tunnel safety and sustainable underground infrastructure development.

Publication Profile 

Scopus

Educational Background 🎓

  • Bachelor’s Degree (2001): Engineering Mechanics, Wuhan University, China

  • Master’s Degree (2003–2006): Geotechnical Engineering, Wuhan Institute of Geotechnical Mechanics, Chinese Academy of Sciences

  • Ph.D. Degree (2006–2009): Geotechnical Engineering, Wuhan Institute of Geotechnical Mechanics, Chinese Academy of Sciences

Professional Experience 💼

  • Current Position: Professor, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences

  • Editorial Roles:

    • Editorial Board Member, International Journal of Mining Science and Technology

    • Guest Editor, Advances in Civil Engineering

  • International Collaboration:

    • Research on Boom Clay with Belgian Nuclear Research Center

    • Visiting Scholar at Lorrain University, France

  • Consultancy Projects: Led 6 industry projects

  • Professional Affiliations:

    • Director, Underground Engineering Branch, Chinese Society of Rock Mechanics and Engineering

    • Director, Hubei Underground Engineering Society

Research Interests 🔬

  • Geotechnical Engineering

  • Underground Engineering

  • Tunnel Safety and Deformation Control

  • Rock Mechanics

  • Dynamic Stress Testing

  • Support Control Technologies for Steeply Inclined and Squeezing Rock Tunnels

Awards and Honors🏆✨

  • Nominee for the Global Innovation Technologist Awards – Best Researcher Award

  • Recognized for proposing the dynamic stress testing method for soft rock and a buffer support design method for asymmetric deformation in tunnels, both adopted in deep coal mine projects.

Conclusion🌟

Professor Guojun Wu stands as a leading figure in the field of underground geotechnical engineering, with innovations that have significantly improved safety and design in high-risk environments. His extensive publication record, interdisciplinary collaborations, and patented technologies position him as a prime candidate for the Best Researcher Award. His work demonstrates practical impact, academic rigor, and global collaboration, making him an invaluable contributor to civil engineering and underground infrastructure sciences.

Publications 📚

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Li, Y., Wu, G., Chen, W., Yuan, J., & Huo, M. (2025). Laboratory model tests and unstable collapse analysis of SPB shield machine tunnelling in saturated sand. Tunnelling and Underground Space Technology.
📌 Focus: Collapse behavior during shield machine tunneling in saturated sand.

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Huo, M., Chen, W., Yuan, J., Li, Y., & Liu, Y. (2025). Experimental investigation and limit analysis of shield tunnel face failure mechanism in sand. Underground Space (China).
📌 Focus: Tunnel face failure mechanism under sandy conditions.

🔬 Journal Article | 🆓 Open Access | 🗓️ 2025 | 🔢 0 citations
Wen, C., Jia, S., Fu, X., & He, H. (2025). Semi-analytical assessment of dynamic sealing capacity of underground gas storage: A case of Songliao Basin, Northeastern China. Journal of Rock Mechanics and Geotechnical Engineering.
📌 Focus: Sealing effectiveness in underground gas reservoirs.

🔬 Journal Article | 🗓️ 2025 | 🔢 1 citation
Yu, J., Zhang, Z., Wu, G., Li, X., & Tian, H. (2025). Investigation on asymmetric dynamic response characteristics of anchored surrounding rock under blasting excavation of inclined layered rock tunnel. Canadian Geotechnical Journal.
📌 Focus: Response of surrounding rock under dynamic blasting loads.

🔬 Journal Article | 🗓️ 2024 | 🔢 1 citation
Shu, X., Chen, W., Qiu, X., Wu, G., & Tian, Y. (2024). Anchorage mechanism and parametric analysis of a novel interface-shear-stress-dispersing bolt. Tunnelling and Underground Space Technology.
📌 Focus: New bolt design for stress dispersion in tunneling.

🔬 Journal Article | 🗓️ 2024 | 🔢 2 citations
Li, Y., Wu, G., Chen, W., Huo, M., & Liu, Y. (2024). Laboratory experimental study of the forming and failure mechanisms of soil arching during EPBS tunnelling in sand. Engineering Failure Analysis.
📌 Focus: Soil arching effects during Earth Pressure Balance Shield (EPBS) tunneling.

🔬 Journal Article | 🗓️ 2024 | 🔢 1 citation
Li, Y., Wu, G., Chen, W., Yuan, J., & Huo, M. (2024). Influence of confined water on the limit support pressure of tunnel face in weakly water-rich strata. Journal of Central South University.
📌 Focus: Impact of water content on tunnel face stability.

CHANDRA SHEKHAR RAJORA | ELECTRONICS AND COMMUNICATION | Best Researcher Award

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Mr. CHANDRA SHEKHAR RAJORA | ELECTRONICS AND COMMUNICATION | Best Researcher Award

Associate Professor at Jaipur National University, India

Chandra Shekhar Rajora is a seasoned academic and professional with over 18 years of experience in education, training, and research. Currently a Coordinator and Assistant Professor at Jaipur National University (JNU), Jaipur, he has significantly contributed to academic leadership, industry collaboration, and student development.

Professional Profile 

Scopus

Education

  • M.Tech. in Digital Communication, Rajasthan Technical University
  • MBA in Marketing and HR, Rajasthan Technical University (2011)
  • B.E. in Electronics & Communication, University of Rajasthan (2005)

Professional Experience

  • Coordinator and Assistant Professor, JNU, Jaipur (2012–Present): Engaged in curriculum enhancement, student mentoring, and industry placement initiatives.
  • Training & Placement Officer, RCEW, Jaipur (2006–2012): Managed industry collaborations, job fairs, and training programs.
  • Jr. Engineer, Infinium India Ltd. (1 year): Specialized in VSAT system installations for telecommunication projects.

Research Interests

Microstrip filters, optical amplifiers, TQM in SMEs, and advancements in digital communication technologies.

Awards and Honors

  • Represented JNU at the Invest Rajasthan Summit 2022.
  • Lifetime member of ISTE and CSI.
  • Member of the Indian Science Congress Association (2023-24).

Conclusion

Chandra Shekhar Rajora’s blend of academic, professional, and research achievements positions him as a commendable candidate for the Best Researcher Award. His impactful contributions reflect his dedication to education, innovation, and industry-academic synergy.

Publications 📚

  • “Optical system based data classification for diabetes retinopathy detection using machine language with artificial intelligence”
    • Authors: Suraj Malik, S. Srinivasan, Chandra Shekhar Rajora, Sachin Gupta, Mohammed Mujeer Ulla, Neeraj Kaushik
    • Journal: Optical and Quantum Electronics
    • Year: 2023
    • Volume and Issue: Volume 55, Issue 10
    • Article Number: 896
    • DOI: 10.1007/s11082-023-05193-x
    • Citations: As of now, this article has been cited once.
    • Note: This article has been retracted.
      SpringerLink
  • “IoT Based Smart Home with Cutting-Edge Technology for IDS/IPS”
    • Authors: Chandra Shekhar Rajora, Ankit Sharma
    • Conference: 2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication Engineering (ICATIECE 2022)
    • Year: 2022
    • DOI: 10.1109/ICATIECE53134.2022.10047483
    • Citations: This conference paper has been cited twice.

 

Zhiyang Guo | Sliding Mode Control | Best Scholar Award

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Dr. Zhiyang Guo | Sliding Mode Control | Best Scholar Award

Doctoral Candidate at Dalian Maritime University, China

🌊 Dr. Zhiyang Guo is a passionate researcher in maritime engineering and control systems, currently pursuing a Ph.D. at Dalian Maritime University. With expertise in sliding mode control and autonomous vehicles, he has published impactful research articles and holds patents in innovative maritime technologies. 🚤🔬 His work contributes to advancing the capabilities of unmanned and autonomous surface vehicles, driving innovation in the maritime industry. 🌟

Publication Profile : 

Scopus

Educational Background 🎓

Zhiyang Guo is currently a Doctoral Candidate at Dalian Maritime University, where he has been pursuing his Ph.D. since 2022. He previously completed his Master’s degree at the same institution from 2020 to 2022, specializing in cutting-edge maritime technologies.

Professional Experience 💼

Zhiyang Guo has demonstrated a strong commitment to advancing maritime engineering and control systems. His research focuses on unmanned surface vehicles (USVs) and autonomous surface vehicles (ASVs), particularly in sliding mode control. He has contributed to the field through patent applications and publications in esteemed journals, showcasing his innovative approach to maritime maneuverability and control systems.

Research Interests 🔬

  • Sliding mode control
  • Unmanned surface vehicles (USVs)
  • Autonomous surface vehicles (ASVs)

Achievements and Innovations

Zhiyang has filed two patents (Application Numbers: 202410936299.5 and 202410936301.9) and authored influential journal articles, including:

  1. Turning and zigzag maneuverability investigations on a waterjet-propelled trimaran in calm and wavy water using a direct CFD approach (DOI: 10.1016/j.oceaneng.2023.115511)
  2. Predefined-time global recursive sliding mode control for trajectory tracking of unmanned surface vehicles with disturbances uncertainties (DOI: 10.1016/j.oceaneng.2024.119408)

Publications 📚

  • Guo, Z., Zhang, J., Shang, Y., Zhang, L., & Chen, W. (2024). Predefined-time global recursive sliding mode control for trajectory tracking of unmanned surface vehicles with disturbances uncertainties. Ocean Engineering, 313, 119408.
  • Zhang, J., Guo, Z., Zhang, Q., Shang, Y., & Zhang, L. (2023). Turning and zigzag maneuverability investigations on a waterjet-propelled trimaran in calm and wavy water using a direct CFD approach. Ocean Engineering, 286, 115511.
  • Cui, Y., Wang, D., Guo, Z., Zhang, L., & Zhang, J. (2023). Maneuverability prediction for trimaran ship under the combined influence of wind and wave. Proceedings of SPIE – The International Society for Optical Engineering, 12756, 127564V.
  • Wei, Y., Zhang, J., Guo, Z., Shang, Y., & Zhang, L. (2023). Research on added waves resistance in misalignment paralleling of two ships. Proceedings of SPIE – The International Society for Optical Engineering, 12756, 127561G.

 

 

 

Manas Ranjan Sethi | ECE | Best Researcher Award

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Mr. Manas Ranjan Sethi | ECE | Best Researcher Award

Research Scholar at NIT Silchar, India

Manas Ranjan Sethi is a dedicated academic professional currently pursuing a Ph.D. in Electronics and Instrumentation Engineering at NIT Silchar, with a strong focus on machine learning applications in fault diagnosis and energy systems. He holds an M.Tech in Electronics & Telecommunication from BPUT, Odisha and has over 12 years of teaching experience, having worked as an Assistant Professor at Gandhi Institute for Technology (GIFT) and as a Lecturer at Koustuv Institute of Self Domain, Bhubaneswar. His research interests include machine learning, signal processing, and sustainable energy systems, particularly in wind turbine diagnostics and emotion recognition using EEG signals. Manas has contributed to numerous journals, conferences, and book chapters, and he has earned distinctions such as qualifying CBSE-UGC NET and GATE. He is also skilled in technical tools, enjoys singing, and has a passion for reading.

Publication Profile : 

Scopus

 

🎓 Educational Background :

Manas Ranjan Sethi is currently pursuing a Ph.D. in Electronics and Instrumentation Engineering at NIT Silchar (since March 2020). He holds an M.Tech in Electronics & Telecommunication (Specialization in Communication Engineering) from BPUT, Odisha (2012), with a CGPA of 8.20. He completed his B.E. in Electronics & Telecommunication from BPUT, Odisha, in 2006, securing a 62.19%. Additionally, he completed his +2 Science and Matriculation from MP Board, Madhya Pradesh.

💼 Professional Experience :

Manas has a rich academic career spanning over 12 years. He served as an Assistant Professor in the Electronics & Communication Engineering Department at Gandhi Institute for Technology (GIFT), Bhubaneswar, from November 2013 to March 2020. Prior to that, he worked as a Lecturer in the Electronics & Telecommunication Engineering Department at Koustuv Institute of Self Domain, Bhubaneswar, from July 2007 to November 2013. He has a strong foundation in teaching and mentoring students in the field of Electronics and Communication Engineering.

📚 Research Interests : 

Manas’s research interests lie in the domains of Machine Learning, Signal Processing, and Fault Diagnosis. His work focuses on vibration signal-based diagnostics and energy extraction using wind turbines. He is passionate about leveraging machine learning techniques for predictive maintenance and condition monitoring. His recent research includes the application of meta-classifiers for diagnosing wind turbine blade faults and exploring emotion recognition through EEG signals.

🏆Achievements & Certifications :

Manas has earned several academic distinctions, including qualifying the CBSE-UGC NET (Electronic Science) in July 2018, and securing GATE scores of 260 (2016) and 218 (2011) in Electronics and Communication. He has also attended and contributed to various seminars, workshops, and short-term courses in fields such as VLSI Design, Microwave Filters, and Adaptive Signal Processing.

📝 Publication Top Notes :

  • Sethi, M. R., Subba, A. B., Faisal, M., Sahoo, S., & Koteswara Raju, D. (2024). Fault diagnosis of wind turbine blades with continuous wavelet transform based deep learning model using vibration signal. Engineering Applications of Artificial Intelligence, 138, 109372.
  • Sethi, M. R., Sahoo, S., Dhanraj, J. A., & Sugumaran, V. (2023). Vibration Signal-Based Diagnosis of Wind Turbine Blade Conditions for Improving Energy Extraction Using Machine Learning Approach. Smart and Sustainable Manufacturing Systems, 7(1), 14–40.
  • Chatterjee, S., Sethi, M. R., & Asad, M. W. A. (2016). Production phase and ultimate pit limit design under commodity price uncertainty. European Journal of Operational Research, 248(2), 658–667.
  • Sethi, M. R., Parhi, S. S., Sahoo, S., Sugumaran, V., & Mohanty, S. R. (2023). Fault Diagnosis of Wind Turbine Blades Through Vibration Signal Using Filtered Cultivation Data: A Comparative Study. Proceedings of the 2023 IEEE Region 10 Symposium, TENSYMP 2023.
  • Kar, P., Hazarika, J., & Sethi, M. R. (2023). A Comparative Study between Supervised and Unsupervised Techniques for Two Class Emotion Recognition using EEG. Proceedings of the 2023 IEEE 8th International Conference for Convergence in Technology, I2CT 2023.
  • Banala, H. S., Sahoo, S., Sethi, M. R., & Sharma, A. K. (2023). Fault Diagnosis in Wind Turbine Blades Using Machine Learning Techniques. In R. Doriya, B. Soni, A. Shukla, & X. Z. Gao (Eds.), Machine Learning, Image Processing, Network Security and Data Sciences (Lecture Notes in Electrical Engineering, Vol. 946), 401–411. Springer, Singapore.
  • Sethi, M. R., Sahoo, S., Kanoongo, S., & Hemasudheer, B. (2022). A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Rule Classifier. Proceedings of the 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET 2022), 1–6. doi: 10.1109/ICEFEET51821.2022.9848401.
  • Sethi, M. R., Hemasudheer, B., Sahoo, S., & Kanoongo, S. (2022). A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Vibration Data through META Classifiers. Proceedings of the 2022 4th International Conference on Energy, Power, and Environment (ICEPE 2022), 1–5. doi: 10.1109/ICEPE55035.2022.9798026.

 

 

 

Gonzalo Pérez Serrano | Artificial photosynthesis | Young Scientist Award

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Mr. Gonzalo Pérez Serrano | Artificial photosynthesis | Young Scientist Award

PhD at IMDEA Nanociencia, Spain

Gonzalo Pérez Serrano is an Assistant Researcher at IMDEA Nanoscience in Spain, specializing in ultrafast phenomena at the nanoscale. He holds a Master’s degree in Biotechnology from Universidad Autónoma de Madrid and a Bachelor’s degree in Biology from Universidad Complutense de Madrid. His research focuses on artificial photosynthesis, specifically the design of structural modulators for photosystems, where he studies the impact of protein dynamics on chromophore function.

Publication Profile : 

Orcid

 

🎓 Educational Background :

Gonzalo Pérez Serrano completed his undergraduate degree in Biology at the Universidad Complutense de Madrid in 2022. During his studies, he gained valuable experience at the Veterinary Health Surveillance Centre (VISAVET), specializing in molecular techniques such as genetic material extraction and purification, molecular diagnosis, and data analysis. His Bachelor’s thesis focused on the molecular detection of Rickettsia bacteria in ticks from wild animals in the Madrid region. After completing his Bachelor’s, Gonzalo pursued a Master’s degree in Biotechnology at the Universidad Autónoma de Madrid (2022-2023), where he conducted his Master’s thesis on the design of artificial photosystems, under the supervision of Dr. Sara Hernández Mejías at IMDEA Nanoscience.

💼 Professional Experience :

Following the completion of his Master’s, Gonzalo Pérez Serrano was appointed as an Assistant Researcher at IMDEA Nanoscience in October 2023. He has been involved in various significant research projects, including a project funded by the LaCaixa Foundation focused on photochemical energy conversion using biohybrids with proteins and nanoclusters, and another research grant from the BBVA Foundation on optimized photochemical conversion. His work spans artificial photosynthesis, light energy conversion, and nanotechnology, contributing to a deeper understanding of the mechanistic role of protein dynamics in chromophore function. Prior to his current position, he gained practical research experience as a trainee student at IMDEA Nanoscience while completing both his Bachelor’s and Master’s degrees.

📚 Research Interests : 

Gonzalo’s research interests are centered on the fields of artificial photosynthesis, light energy conversion, and nanotechnology. He focuses on the study of protein engineering and physical chemistry, with a particular emphasis on pump-probe spectroscopy. His work aims to advance our understanding of how proteins and chromophores interact to enhance light-harvesting efficiency. He is passionate about using cutting-edge techniques in nanoscience to develop sustainable and efficient systems for energy conversion. 🌱🔬💡

📝 Publication Top Notes :

  1. Serrano, G. P., Echavarría, C. F., & Mejias, S. H. (2024). Development of artificial photosystems based on designed proteins for mechanistic insights into photosynthesis. Protein Science, 33(10). https://doi.org/10.1002/pro.5164