Assist. Prof. Dr. Lechen Li | Signal Processing | Best Researcher Award

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Assist. Prof. Dr. Lechen Li | Signal Processing | Best Researcher Award 

Assist. Prof. Dr. Lechen Li, Hohai University, China

Lechen Li is an Assistant Professor at the College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China. He received his Ph.D. in Engineering Mechanics from Columbia University in 2023, where his research focused on smart grid development, data-driven system control, and computational structural dynamics. Prior to that, he earned an M.S. in Data Science from Columbia University, supported by the Robert A.W. and Christine S. Carleton Scholarship, and a B.S. in Engineering Mechanics from Sichuan University, where he won the First Prize in the Zhou Peiyuan National Mechanics Modeling Contest. His current research spans infrastructure intelligent monitoring, data-driven seepage analysis, computational dynamics, and renewable energy optimization. Dr. Li has presented award-winning work at major international conferences such as the 8th World Conference on Structural Control and Monitoring and has collaborated on interdisciplinary projects involving smart electricity networks and structural health monitoring.

Professional Profile:

SCOPUS

🏅 Summary of Suitability for Best Researcher Award

Dr. Lechen Li is a highly promising and accomplished early-career researcher whose interdisciplinary work spans Engineering Mechanics, Data Science, and Infrastructure Monitoring. His exceptional academic background, innovative research in intelligent structural control, and impactful contributions to renewable energy systems make him an excellent candidate for the Best Researcher Award.

🎓 Education

  • Ph.D. in Engineering Mechanics
    Columbia University, USA (09/2019 – 06/2023)
    🔍 Research: Smart Grid, Structural Dynamics, Signal Processing
    📊 GPA: 3.889/4.0

  • M.S. in Data Science
    Columbia University, USA (09/2018 – 08/2019)
    💡 Focus: Neural Networks, Dynamical Systems
    📚 Robert A.W. and Christine S. Carleton Scholarship
    📊 GPA: 3.917/4.0

  • B.S. in Engineering Mechanics
    Sichuan University, China (09/2014 – 06/2018)
    🧠 Strong foundation in Mechanics & Modelling
    📊 GPA: 3.6/4.0
    🥇 First Prize in Zhou Peiyuan National Mechanics Modeling Contest (2017)
    🏅 First Prize Scholarship (Twice between 2014–2016)

🧑‍🏫 Current Position

  • Assistant Professor
    College of Water Conservancy and Hydropower Engineering, Hohai University, China (06/2023 – Present)
    🌊 Research: Infrastructure Intelligent Monitoring, Seepage Control, Computational Dynamics, Renewable Energy.

🧪 Research & Projects

  • Structural Control & Health Monitoring
    Columbia University (2021 – 2023)
    🤖 Developed a Generalized Auto-Encoder (GAE) for damage detection
    🎙️ Presented at 8WCSCM, awarded Best Conference Paper (2022) 🏆

  • Smart Grid for Residential Buildings
    Columbia University (2019 – 2020)
    ⚡ Built ConvLSTM neural network for intelligent load control
    📈 Improved forecasting accuracy by 16%

💼 Industry Experience

  • Data Research Analyst
    CICT, Colombo, Sri Lanka (12/2017 – 03/2018)
    🚢 Applied ML for port logistics & road paving optimization
    🔁 Designed reinforcement learning system for transportation planning

  • CAE Analyst
    National Institute of Water, Energy & Transportation, China (06/2016 – 08/2016)
    🏗️ Simulated pile-soil stress using XFEM
    🔍 Assessed 70% lateral pressure effects on platform-supported pile groups

🏅 Achievements, Awards & Honors

  • 🥇 Best Conference Paper Award, 8WCSCM (2022)

  • 📚 Robert A.W. and Christine S. Carleton Scholarship (2018)

  • 🧠 First Prize, Zhou Peiyuan National Mechanics Modeling Contest (2017)

  • 🎖️ Sichuan University First Prize Scholarship (2014–2016, twice)

Publication Top Notes:

Experimental Study on Dynamic Characteristics of Coarse-Grained Materials and Its Application on Numerical Analysis for Permanent Deformation of Rockfll Dams

Assist Prof Dr. Hwa-Dong Liu | Signal Processing | Best Researcher Award

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Assist Prof Dr. Hwa-Dong Liu | Signal Processing | Best Researcher Award

Assist Prof Dr. Hwa-Dong Liu, Undergraduate Program of Vehicle and Energy Engineering, National Taiwan Normal University, Taiwan

Hwa-Dong Liu is an Assistant Professor at National Taiwan Normal University (NTNU) in Taipei, Taiwan, specializing in power electronics, microcontrollers, rail vehicle power systems, and solar power systems. He holds a Ph.D. in Electrical Engineering from National Taiwan University of Science and Technology (NTUST). His research interests include the development of advanced power converters, control strategies for renewable energy systems, and innovative solutions for electric vehicle charging. Dr. Liu has authored numerous papers in reputable journals, with a focus on improving the efficiency and performance of power electronic systems and renewable energy technologies. His recent work includes contributions to energy management systems, high-gain boost converters, and novel MPPT algorithms for solar power generation.

Professional Profile:

Summary of Suitability for Best Researcher Award 

Hwa-Dong Liu has expertise in several cutting-edge fields including power electronics, microcontrollers, rail vehicle power systems, and solar power systems. This diversity indicates a broad impact on multiple important areas of research.

Education

  • Ph.D. in Electrical Engineering from National Taiwan University of Science and Technology (NTUST).

Work Experience

  • Assistant Professor at National Taiwan Normal University (NTNU).

Expertise

  1. Power Electronics
  2. Microcontroller
  3. Rail Vehicle Power Systems
  4. Solar Power Systems

Publication top Notes:

An improved solar step-up power converter for next-generation electric vehicle charging

Hybrid Management Strategy for Outsourcing Electromechanical Maintenance and Selecting Contractors in Taipei MRT

An Improved High Gain Continuous Input Current Quadratic Boost Converter for Next-Generation Sustainable Energy Application

Novel MPPT algorithm based on honey bees foraging characteristics for solar power generation systems

High-Voltage Autonomous Current-Fed Push-Pull Converter with Wireless Communication Applied to X-Ray Generation

 

 

 

Mrs. Ainhoa Osa Sanchez | Signal processing | Best Researcher Award

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Mrs. Ainhoa Osa Sanchez | Signal processing | Best Researcher Award 

Mrs. Ainhoa Osa Sanchez, EVIDA Research Group, University of Deusto, Spain

Ainhoa Osa Sánchez is a dedicated researcher specializing in sensors for biological applications. Born on April 11, 1999, she completed her degree in Industrial Electronics and Automation Engineering from the University of Deusto in 2021 and earned a Master’s degree in Industry 4.0 from the International University of La Rioja in 2022. Since 2022, she has been an active member of the eVIDA group, where she initially joined as a researcher in 2020.During her academic and professional journey, Ainhoa has collaborated in various capacities, including internships and research positions, focusing on advanced technological solutions. Her master’s thesis revolved around telemonitoring vital signs at home for the elderly, utilizing IoT and 3D design with a serverless architecture for data storage and visualization via Amazon Web Services.Currently, Ainhoa is pursuing her doctorate at the University of Deusto. Her research is centered on using portable EEG and NIR sensor signals for pain detection case studies, incorporating artificial intelligence models. This work has significant implications for elderly care, chronic pain, and fibromyalgia. She is also engaged in a collaborative project with the University of Louisville and Alamein International University to develop a neural network aimed at identifying the degree of macular degeneration through image analysis.

Professional Profile:

GOOGLE SCHOLAR

Education

Degree: Master’s Degree in Industry 4.0
University / Country: International University of La Rioja
Year: 2022

Degree: Degree in Industrial Electronics and Automatic Engineering
University / Country: University of Deusto
Year: 2021

Skills and Abilities:

  • Advanced understanding of computing, IoT, and artificial intelligence
  • Ability to use data structures to improve programming results
  • Excellent knowledge of several programming languages, including Java, C, and Python
  • Very good knowledge of big data and cybersecurity
  • Experience using and analyzing data from wearable biomedical devices such as EEG, fNIRS, and EMG

 Relevant Accomplishments

C.1. Most Important Publications in National or International Peer-Reviewed Journals, Books, and Conferences

Scientific Papers:

  1. Ainhoa Osa-Sanchez, Oscar Jossa-Bastidas, Amaia Mendez-Zorrilla, Ibon Oleagordia-Ruiz, Begonya Garcia-Zapirain. 2023. “Design of intelligent monitoring of loneliness in the elderly using a serverless architecture with real-time communication API.” Technology and Health Care, IOS Press. 31-6, pp. 2401-2409.
  2. Jossa-Bastidas, Oscar, Osa Sanchez, Ainhoa, Bravo-Lamas, Leire, Garcia-Zapirain, Begonya. 2023. “IoT System for Gluten Prediction in Flour Samples Using NIRS Technology, Deep and Machine Learning Techniques.” Electronics, 12-8. ISSN 2079-9292.

Publication top Notes:

IoT system for gluten prediction in flour samples using nirs technology, Deep and Machine Learning Techniques

CITED : 1

Design and implementation of food quality system using a Serverless Architecture: case study of gluten intolerance

CITED : 1

Gluten Analysis Composition Using Nir Spectroscopy and Artificial Intelligence Techniques

CITED : 1

Design of intelligent monitoring of loneliness in the elderly using a serverless architecture with real-time communication API

 

 

Ali Tetbirt | Mechanical sensors | Best Researcher Award

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Dr. Ali Tetbirt | Mechanical sensors | Best Researcher Award

Permanent Researcher at Mechanical sensors , Development unit of solar equipment, UDES/EPST-CDER, Algeria

Dr. Ali Tetbirt holds a Magister degree in Mechanical Engineering with a specialization in Energetic and Transfer from the Doctoral school at Dr. Yahia Fares University of Médéa, Algeria. They earned a Doctorate degree in Science with a focus on Mechanical Engineering from the University Hassiba Ben-bouali of Chlef, Algeria, in July 2017, and attained the senior researcher –B- degree in September 2017. Currently, Dr. Tetbirt works as a researcher at the Development Unit of Solar Equipments (UDES\CDER) since May 2013, contributing to the research team titled “Cooling and Air Conditioning Systems using Renewable Energies” (FCEEOR-Team). Their responsibilities include teaching at the university and providing training to Master’s students in the field of renewable energy and PV-systems.

Professional Profile

Education:

Dr. Ali Tetbirt’s academic journey began with a Mathematical series baccalaureate from high school “Hamza Ben AbdElmotalib” El-Khemis, Ain Defla, Algeria, in June 1989. They later earned a State Engineer degree in HVAC, Option: HVAC, from the University of Khemis (UKM), Algeria, in 2008. Dr. Tetbirt furthered their education with a Magister in Mechanical Engineering, Option: energy and transfer, from the Doctoral school ‘Mechanics and Systems Engineering (MIS)’ at the Faculty of Science and Technology, Dr. Yahia Fares University of Médéa, Algeria. Their academic journey culminated in a Doctorate in Science, Specialty and Option: Mechanical Engineering, from the Faculty of Technology, Department of Mechanical Engineering, Hassiba Ben Bouali University, HBU Chlef, Algeria.

Skills:

Dr. Ali Tetbirt possesses strong informatics skills, including proficiency with the Windows operating system and Matlab software. They served as a contract professor at Djilali Bounaama University of Khemis Miliana (UDBK), W. Ain Defla, Algeria, from 2009 to 2013. In this role, they conducted Laboratory Practice (TP) and Directed works (TD) in Physics, Mechanics, and electricity in ST-SM and MI departments. Dr. Tetbirt also led TD in Mechanics of Compressible Fluids (MDF) and lectured on thermal habitats (TL) and Refrigeration systems. They were involved in teaching lessons at the Master (LMD) level and conducted TD in Mathematics (GS & ET). Additionally, Dr. Tetbirt taught Technical Terminologies (ET) at the Faculty of Science and Technology (FST) and supervised Directed works (TD) in Mathematics (Analysis and Algebra) at the Faculty of Economics and Commerce (FSEC).

Experience:

Dr. Ali Tetbirt has extensive experience in organizing various events. They were a member of the organizing committee for the I3CT_MENA’2015 seminar at UDES and participated in organizing the international conference on the application of renewable energies in the agricultural sector in 2019 at UDES. Dr. Tetbirt also served as a member of the scientific community for the first national seminar on climate engineering, renewable energies, and energy efficiency (GECLEREE2021) at Yahia Fares University in Médéa. Additionally, they were a member of the organizing committee for the inter-Lycian scientific event on the occasion of the June 21 “Solstice 2021” day and the prize-giving ceremony for the competition of the inter-Lycian scientific event on the occasion of July 5, organized by UDES in cooperation with the academy of national education, wilaya of Tipaza.

Publications:

“Numerical study of magnetic effect on the velocity distribution field in a macro/micro-scale of a micropolar and viscous fluid in vertical channel” by A. Tetbirt, M.N. Bouaziz, M.T. Abbes. Journal of Molecular Liquids, 2016. (35 citations)

“Theoretical analysis of two evaporator configurations for a conventional refrigerator coupled to a phase change material” by M. Berdja, F. Yahi, A. Tetbirt, M. Ouali, M.A. Djebiret, M. Mokrane. IOP Conference Series: Materials Science and Engineering, 2020. (5 citations)

“Modelling and Exergetic Analysis of a Parabolic Trough Solar Collector” by F. Yahi, M. Belhamel, M. Berdja, M. Mokrane, M.A. Djebiret. IOP Conference Series: Earth and Environmental Science, 2020. (2 citations)

“Transferts Convectifs Magnétohydrodynamique des Fluides Micropolaire et Visqueuxdans un Canal Vertical” by A. Tetbirt. Tahar Abbes Miloud, 2017. (1 citation)

“Numerical investigation of MHD mixed-convective flow and heat transfer within immiscible micropolar and nanofluids in a vertical channel” by A. Tetbirt, M.A. Djebiret, M. Ouali, M. Mokrane, M.N. Bouaziz. International Journal of Modelling and Simulation, 2024.

“Energy Rationalization by PV Domestic Refrigerator with CTES” by M. Ouali, M.A. Djebiret, M. Mokrane, A. Tetbirt, M. Berdja, F. Yahi. 14th International Renewable Energy Congress (IREC), 2023.

“Energy Efficiency Performances for a Modular House via Air Conditioning” by M.A. Djebiret, M. Ouali, A. Tetbirt, M. Mokrane, M. Berdja, F. Yahi. 14th International Renewable Energy Congress (IREC), 2023.

“Numerical approach of Magnetic and viscous diffusivity in a heat exchanger cooled by a non-Newtonian fluid” by A. Tetbirt, M.A. Djebiret, M. Mokrane, M. Ouali, M. Berdja, F. Yahi. 6th International Renewable and Sustainable Energy Conference (IRSEC), 2018.

“TRANSFERTS CONVECTIFS DES FLUIDES MICROPOLAIRES DANS UN CANAL VERTICAL.” by ALI TETBIRT, MN BOUAZIZ, 2011.

“Rafraîchissement solaire par sorption en Algérie” by MA Djebiret, A Tetbirt.

“Investigation expérimental sur un dispositif de production de froid à adsorption” by MA DJEBIRET, M OUALI, M MOKRANE, A TETBIRT, F YAHI, M BERDJA, …

“Experimental study and energy optimization of a solar domestic refrigerator incorporating a phase change materials” by A. Tetbirt, M. Mokrane, M. Abbas, M. Berdja, Y. Ferhat.

“Large Prandtl number effect on the velocity distribution field of free convective flow of two different types of immiscible fluids in a vertical channel, in Istanbul, Turkey, 2016” by MN Bouaziz, A Tetbirt, AM Bouaziz, MT Abbes.

“Simulation CFD-D’un système de stockage d’énergie frigorifique par chaleur latente de fusion de la glace” by M MOKRANE, M BERDJA, A TETBIRT, F YAHI, B ABBAD.