Xiaoxiao Huo | Electric Engineering | Best Researcher Award

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Ms. Xiaoxiao Huo | Electric Engineering | Best Researcher Award

Xiaoxiao Huo at Xiamen University, China

Summary:

Ms. Xiaoxiao Huo is a promising researcher in the field of electrical engineering, currently pursuing her master’s degree at Xiamen University, China. With a strong foundation in power electronics and control theory, she has engaged in various research projects focused on optimizing energy systems and improving power conversion techniques. Ms. Huo is an award-winning student, recognized for her academic excellence and contributions to both research and engineering competitions. She has published several papers on advanced control strategies and holds patents in image recognition technologies for meter reading. Her diverse academic and practical experiences position her as a future leader in energy system optimization and power management.

Professional Profile:

👩‍🎓Education:

Ms. Xiaoxiao Huo is currently pursuing her M.Eng. in Electrical Engineering at Xiamen University (2022-2025, expected), where she maintains a GPA of 3.6/4.0. She is under the supervision of Dr. Po Li (Xiamen University) and Dr. Zhengmao Li (Aalto University). Her primary coursework includes modern control theory, advanced power electronics, and numerical analysis. She completed her B.Eng. in Electrical Engineering and Automation from South China Agricultural University (SCAU) in 2022 with an average score of 90.91/100. Her undergraduate studies focused on power electronics technology, power system analysis, and electrical machinery theory.

🏢 Professional Experience:

Throughout her academic journey, Ms. Huo has engaged in various research and professional roles. Currently, she is conducting research on multi-energy system planning and operation at Aalto University, where she is developing a planning and operation model for integrated energy systems. In addition, at Xiamen University, she is working on power conversion and energy management strategies for power systems, focusing on model predictive control and its applications. In 2022, Ms. Huo gained hands-on experience as an intern and research assistant at the Guangzhou Institute of Energy Testing, where she designed instrument verification methods using computer vision. She has also been an active volunteer with the Chinese Association of Automation (CAA) since 2021, contributing to academic promotion and conference organization. Her participation in robotics competitions, including the Robomaster visual team, further demonstrates her interest in AI and automation.

Research Interests:

Ms. Huo’s research interests lie in the areas of power electronics, control engineering, energy management, and hybrid energy storage systems. Her work focuses on model predictive control, model-free control, observer design, and hardware-in-the-loop (HIL) simulations. She has also contributed to projects involving grid-tied inverters, multi-energy systems, and the optimization of electric power conversion.

Author Metrics:

Ms. Huo has contributed to several significant publications in the fields of energy systems and power electronics. Some of her key works include:

  • Huo, X., & Li, P. (2024). Power Management and Control Strategy Based on Model-Free Control for Hybrid Energy Storage System. Accepted by 2024 9th International Conference on Power and Renewable Energy (ICPRE 2024).
  • Huo, X., & Li, P. Parameter-Free Ultralocal Model-Based Predictive Current Control for Three-Phase Four-Leg Inverters. Submitted to Electric Power Systems Research.
  • Zhang, Y., Huo, X., et al. (2023). Design of an Image Recognition Device for Electronic Water Meter Readings Based on Improved Threading Method. IEEE Chinese Automation Congress (CAC 2023).
  • She is also the co-author of two Chinese patents on image recognition methods for gas and water meter readings.

Top Noted Publication:

Simplified Finite Control Set Model Predictive Control for Single-Phase Grid-Tied Inverters with Twisted Parameters

  • Journal: Electric Power Systems Research
  • Publication Date: January 2025
  • DOI: 10.1016/j.epsr.2024.111063
  • Contributors: Po Li, Xiaoxiao Huo
  • Details: The paper discusses an advanced control method for single-phase grid-tied inverters with twisted parameters, focusing on reducing total harmonic distortion (THD).

Design of an Image Recognition Device for Electronic Water Meter Readings Based on Improved Threading Method

  • Conference: 2023 China Automation Congress (CAC)
  • Publication Date: November 17, 2023
  • DOI: 10.1109/cac59555.2023.10451216
  • Contributors: Yuanming Zhang, Qilun Lu, Xiaoxiao Huo, Yong Wan, Peng Tian
  • Details: This paper focuses on the design of a device utilizing image recognition technology for reading electronic water meters, improving accuracy through an enhanced threading method.

Total Harmonic Distortion Reduction Method of Improved Finite Control Set Model Predictive Control for Single-Phase Inverter with Twisted Parameter

  • Conference: 2023 5th International Conference on Power and Energy Technology (ICPET)
  • Publication Date: July 27, 2023
  • DOI: 10.1109/icpet59380.2023.10367520
  • Contributors: Po Li, Xiaoxiao Huo, Feng Guo
  • Details: This paper presents an improved control method for reducing THD in single-phase inverters with twisted parameters.

Multi-Sampling Rate Finite Control Set Model Predictive Control and Adaptive Method of Single-Phase Inverter

  • Journal: Electronics
  • Publication Date: June 27, 2023
  • DOI: 10.3390/electronics12132848
  • Contributors: Yunfeng She, Xiaoxiao Huo, Xiaoshan Tong, Chunjie Wang, Kunkun Fu
  • Details: The paper discusses multi-sampling rate model predictive control methods for single-phase inverters, including adaptive control to enhance performance.

Research on Quality Control Application of Whole Process Intelligent Manufacturing in Steel Industry 4.0 Based on Big Data Analysis

  • Journal: Journal of Network Intelligence
  • Publication Year: 2022
  • EID: 2-s2.0-85136270844
  • ISSN: 2414-8105
  • Contributors: Zhao, F., Yin, C., Huo, X., Xu, Y.
  • Details: This paper examines the application of big data analysis for quality control in Industry 4.0, focusing on intelligent manufacturing in the steel industry.

Vijay Bhooshan Kumar | Automotive industry | Best Researcher Award

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Dr. Vijay Bhooshan Kumar | Automotive industry | Best Researcher Award

Doctorate at Ashok Leyland Pvt. Ltd, India

Summary:

Dr. Vijay Bhooshan Kumar is an accomplished researcher with over 12 years of experience in nanotechnology and materials science. He holds a Ph.D. in Nano-Chemistry from Bar-Ilan University, Israel, and has held prestigious postdoctoral positions at Tel Aviv University and Los Alamos National Laboratory. His expertise encompasses the synthesis of nanomaterials, energy storage solutions, and biomedical applications, with a strong focus on interdisciplinary collaboration. Dr. Kumar has made significant contributions to the field through his research, patents, and publications, and is dedicated to advancing technology through innovation and collaboration.

Professional Profile:

👩‍🎓Education:

  • Ph.D. in Nano-Chemistry
    • Institution: Department of Chemistry, Bar-Ilan University, Israel
    • Thesis: Metal Micro and Nano Spheres: Fabrication from the Molten State, Properties, and Applications
    • Graduated: First Class
  • Master of Technology (M. Tech.) in Nanoscience and Technology
    • Institution: School of Engineering Science and Technology, University of Hyderabad, India
    • Thesis: Core Shell Nanostructure of PCL, PCL@SiO2, ZnO-SiO2, and Their Physical Properties and Biomedical Applications
    • Graduated: First Class with Distinction
  • M.Sc. in Nanoscience and Technology
    • Institution: Department of Physics, Tezpur University, India
    • Thesis: Synthesis and Characterization of WO3 Nanoparticles and Physical & Biophysical Applications
    • Graduated: First Class
  • B.Sc. in Zoology Hons. with Chemistry and Botany
    • Institution: B.R.A. Bihar University, Muzaffarpur, India
    • Graduated: First Class

🏢 Professional Experience:

Dr. Vijay Bhooshan Kumar has had a distinguished career in both industry and academia. Currently, he serves as a Senior Manager in Advance Engineering at Ashok Leyland, India, where he has been since March 2023. In this role, he is focused on the development of energy storage devices, improving tire performance through nanocarbon compounding, and enhancing the mechanical strength of LNG/CNG brackets.

Before this, Dr. Kumar held a postdoctoral fellowship at Tel Aviv University, Israel, from August 2020 to March 2023. His research there centered on the self-assembly of peptide nanocarriers for cancer drug delivery, bioconjugation with metal-DNA, and the exploration of nano-chem-bio interfaces. Prior to that, he was a Director’s Postdoc Fellow at Los Alamos National Laboratory, USA, from 2018 to 2020, where he worked on developing catalysts for fuel cells, including the synthesis of low platinum group metal (PGM) electrocatalysts and their performance testing in proton exchange membrane (PEM) fuel cells.

Dr. Kumar also served as a Postdoctoral Research Associate at Bar-Ilan University, Israel, from 2017 to 2018, focusing on the synthesis of nanomaterials, catalysis, biofuels, and biomedical applications of metal and polymer carbon dots. His foundational research experience was as a Ph.D. researcher at the same institution from 2012 to 2017, where he explored the chemistry of molten metals, the synthesis of nanomaterials, and their applications in catalysis, biofuels, and nanomedicine.

Author Metrics:

  • Peer-Reviewed Research Papers: 90+
  • Total Impact Factor: 700+
  • Patents (US): 03
  • Patents (Indian): 03
  • Book Chapters: 03
  • Books: 01
  • Conference Proceedings: 03
  • Conference Presentations: 34 (18 Posters, 16 Talks)
  • Total Citations (Google Scholar): 2800+
  • h-index: 34
  • i10-index: 66

Research Interests:

Dr. Kumar’s research spans a wide range of topics in nanotechnology and materials science. His interests include the synthesis of nanomaterials, molten metal chemistry, peptide self-assembly, electrocatalysts for fuel cells, and the application of nanotechnology in energy storage, biofuels, and cancer therapy. He is particularly focused on the interdisciplinary integration of nanoscience with chemistry and biology to create innovative solutions for real-world applications, including vehicle technologies and biomedical advancements.

Top Noted Publication:

Design and development of molten metal nanomaterials using sonochemistry for multiple applications

  • Author: Kumar, V.B.
  • Journal: Advances in Colloid and Interface Science
  • Year: 2023
  • Volume: 318
  • Article Number: 102934
  • Type: Review
  • Citations: 2

Sonochemistry of molten gallium

  • Authors: Kumar, V.B., Gedanken, A., Porat, Z.
  • Journal: Ultrasonics Sonochemistry
  • Year: 2023
  • Volume: 95
  • Article Number: 106364
  • Type: Review
  • Citations: 7

Peptide Self-Assembled Nanocarriers for Cancer Drug Delivery

  • Authors: Kumar, V.B., Ozguney, B., Vlachou, A., Gazit, E., Tamamis, P.
  • Journal: Journal of Physical Chemistry B
  • Year: 2023
  • Volume: 127
  • Issue: 9
  • Pages: 1857–1871
  • Type: Review
  • Citations: 21

Biomass-Derived N-Doped Activated Carbon from Eucalyptus Leaves as an Efficient Supercapacitor Electrode Material

  • Authors: Bejjanki, D., Banothu, P., Kumar, V.B., Kumar, P.S.
  • Journal: C-Journal of Carbon Research
  • Year: 2023
  • Volume: 9
  • Issue: 1
  • Article Number: 24
  • Type: Article
  • Citations: 17

Functional Carbon Quantum Dots for Ocular Imaging and Therapeutic Applications

  • Authors: Kumar, V.B., Sher, I., Rencus-Lazar, S., Rotenstreich, Y., Gazit, E.
  • Journal: Small
  • Year: 2023
  • Volume: 19
  • Issue: 7
  • Article Number: 2205754
  • Type: Review
  • Citations: 24

Jiangling Wu | Transportation | Best Researcher Award

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Dr. Jiangling Wu | Transportation | Best Researcher Award

Doctorate at Henan University, China

Summary:

Dr. Jiangling Wu is a distinguished researcher and educator in the field of transportation engineering. With a PhD from Chang’an University and postdoctoral research experience at Henan University, he has developed significant expertise in urban air mobility, ITS, travel behavior, and traffic safety. His international experience includes a visiting scholar tenure at the University of Texas at Austin. Dr. Wu’s research has led to multiple patents and publications, reflecting his innovative approach to addressing contemporary transportation challenges. As a dedicated educator, he has been teaching various undergraduate and graduate courses, contributing to the development of future engineers. Dr. Wu continues to push the boundaries of transportation research, focusing on improving safety, efficiency, and sustainability in urban and highway environments.

Professional Profile:

👩‍🎓Education:

Postdoctoral Research (2020-2023) in Geography at Henan University, supervised by Professor Yun-feng Kong.

PhD in Transportation Engineering (2012-2017) from Chang’an University, supervised by Professor Sheng-rui Zhang and Professor Bao-jie Yan.

Visiting Scholar (2014-2015) in Transportation Engineering at the University of Texas at Austin, supervised by Professor Randy Machemehl and Professor Sheng-rui Zhang.

MS in Transportation Planning and Management (2010-2013) from Chang’an University, supervised by Professor Sheng-rui Zhang and Professor Bao-jie Yan.

BS in Traffic Engineering (2006-2010) from Henan Polytechnic University.

🏢 Professional Experience:

Dr. Jiangling Wu has a robust academic and research background in transportation engineering, with a focus on urban air mobility, intelligent transportation systems (ITS), travel behavior, traffic safety, innovative roadway design, and traffic operations in highway work zones. His postdoctoral research at Henan University, combined with his PhD from Chang’an University and experience as a visiting scholar at the University of Texas at Austin, has equipped him with a deep understanding of transportation systems and their optimization. Dr. Wu has been involved in teaching both undergraduate and graduate courses, such as Technical English in Civil Engineering, Fundamentals of Traffic Engineering, Roadway Design, and Urban Road and Interchanges.

Research Interests:

Author Metrics:

Dr. Wu is a prolific researcher with numerous publications under peer review and forthcoming in high-impact journals. His work covers a wide range of topics, including bike-sharing demand forecasting, travel mode choices, urban traffic flow prediction, and the effects of gasoline prices on travel behavior. He has authored and co-authored several patents related to roadway intersection designs, lane-changing behavior, and public rental bicycle signs. Dr. Wu’s research outputs have been published in journals such as the Journal of Applied Science and Engineering, PloS ONE, and the International Journal of Pavement Engineering.

Top Noted Publication:

What drives users to accept flying cars for urban air mobility? Findings from an empirical study

  • Authors: Wu, J., He, Q., Singh, A.K., Tian, L.
  • Journal: Journal of Air Transport Management
  • Year: 2024
  • Volume: 119
  • Article Number: 102645

Bond Slip Effect of Composite Trough Beam with Corrugated Steel Web Wrapped with Steel Plate and its Influence on Displacement Under Different Loading Conditions

  • Authors: Tian, L., Dong, Z., Xiong, Y., Wu, J.
  • Journal: International Journal of Civil Engineering
  • Year: 2024
  • Status: Article in Press

Data mining and spatio-temporal characteristics of urban road traffic emissions: A case study in Shijiazhuang, China

  • Authors: Ren, L., Guo, X., Wu, J., Singh, A.K.
  • Journal: PLoS ONE
  • Year: 2023
  • Volume: 18
  • Issue: 12 (December)
  • Article Number: e0295664

Application of ALINEA Ramp Control Algorithm for Type-C Weaving Sections

  • Authors: Wu, J., Wang, H., Singh, A.K., Yuan, Y.
  • Conference: CICTP 2020: Transportation Evolution Impacting Future Mobility – Selected Papers from the 20th COTA International Conference of Transportation Professionals
  • Year: 2020
  • Pages: 2596–2609

Elastic analysis of tradable credits program considering multiple commuting methods

  • Authors: Sun, Z., Zhang, S., Wu, J., Li, Y., Zhao, W.
  • Journal: Xi’an Jianzhu Keji Daxue Xuebao/Journal of Xi’an University of Architecture and Technology
  • Year: 2018
  • Volume: 50
  • Issue: 3
  • Pages: 381–388