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

Mrs. Sabatina Criscuolo | Signal Processing Awards | Young Scientist Award

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Mrs. Sabatina Criscuolo | Signal Processing Awards | Young Scientist Award 

Mrs. Sabatina Criscuolo, University of Naples Federico II, Italy

Sabatina Criscuolo is an Italian biomedical engineer currently pursuing a Ph.D. in Information and Communication Technology for Health at the University of Naples Federico II, where she is affiliated with the National Research Council’s Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA). Her research focuses on the development of advanced artificial intelligence techniques to support precision medicine, with specific applications in neurodegenerative diseases, type 1 diabetes, and colorectal surgery. Sabatina has also collaborated internationally, including a visiting PhD position at the Applied Intelligence Research Centre in Dublin, where she worked on EEG artifact removal using variational autoencoders. With a strong academic background, she holds a Master’s degree in Biomedical Engineering, specializing in Bionic and Biorobotics, and has been involved in various research projects and initiatives aimed at enhancing health monitoring and rehabilitation technologies. In addition to her research activities, Sabatina contributes to the scientific community as a reviewer for multiple journals and has organized significant conferences in her field.

Professional Profile:

ORCID

Research for Young Scientist Award Evaluation for Sabatina Criscuolo

Sabatina Criscuolo is a promising candidate for the Research for Young Scientist Award, given her strong academic background, ongoing research initiatives, and contributions to the field of biomedical engineering and artificial intelligence. Here are several key points that highlight her suitability for this award.

Academic Experience

Sabatina is currently engaged in research at the National Research Council – STIIMA in Lecco, Italy, focusing on advanced artificial intelligence techniques to support precision medicine. Her work involves developing AI algorithms for applications in electroencephalographic (EEG) analysis related to neurodegenerative diseases, type 1 diabetes, and colorectal surgery.

PhD Studies: Since January 2022, she has been pursuing her PhD, with her thesis submission planned for December 2024 and expected graduation in March 2025. She has also been a visiting PhD student at the Applied Intelligence Research Centre in Dublin, Ireland, where she worked on EEG artifact removal using variational autoencoders and explainable AI.

Education

Sabatina holds a Master’s degree in Biomedical Engineering with a focus on Bionic & Biorobotics, where she developed a wearable Brain-Computer Interface system for robot-assisted rehabilitation in children with ADHD. She also completed a Bachelor’s degree in Biomedical Engineering, focusing on innovative enzyme immobilization methods.

Research Collaborations

Her collaborative research spans several institutions, including the University of Salento, Temple University, and the Interdepartmental Research Centre on Management and Innovation in Healthcare at her home university.

Scientific Impact

As of July 2024, Sabatina has an H-index of 5 on Scopus, reflecting her contributions to topics such as EEG signal analysis and diabetes management.

Publication Top Notes

Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals

Improving Multiscale Fuzzy Entropy Robustness in EEG-Based Alzheimer’s Disease Detection via Amplitude Transformation

Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI

A Novel Metric for Alzheimer’s Disease Detection Based on Brain Complexity Analysis via Multiscale Fuzzy Entropy

EEG complexity-based algorithm using Multiscale Fuzzy Entropy: Towards a detection of Alzheimer’s disease

Prof. Miao Zhang | Signal Localization Awards | Best Researcher Award

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Prof. Miao Zhang | Signal Localization Awards | Best Researcher Award 

Prof. Miao Zhang, Xiamen University, China

Miao Zhang is a Professor at Xiamen University, Fujian, China, specializing in electrical and electronic engineering. He earned his B.S., M.S., and D.E. degrees from the Tokyo Institute of Technology, Japan, in 2003, 2005, and 2008, respectively. From 2005 to 2008, he was a Research Fellow of the Japan Society for the Promotion of Science and subsequently served as a Researcher and Assistant Professor at the Tokyo Institute of Technology until 2016, when he joined Xiamen University as an Associate Professor. His research focuses on glass-based antenna-in-package, millimeter-wave and THz antennas, and array antennas for 5G and car radar applications. Dr. Zhang has received several prestigious awards, including the Best Letter Award from the IEICE Communication Society (2009), the Young Engineer Award from the IEICE Technical Committee on Antennas and Propagation (2010), the IEEE AP-S Japan Chapter Young Engineer Award (2011), and the Best Paper Award at the 9th European Conference on Antennas and Propagation (2015). He is a Senior Member of IEEE, CIE, and IEICE.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award

Miao Zhang is a highly accomplished researcher in electrical and electronic engineering, with significant contributions to the fields of millimeter-wave and terahertz antennas, 5G applications, and automotive radar systems. His profile demonstrates extensive academic achievements, impactful research output, and a strong record of professional recognition.

🎓 Education:

  • B.S. in Electrical and Electronic Engineering 🎓 – Tokyo Institute of Technology 🇯🇵, 2003.
  • M.S. in Electrical and Electronic Engineering 🎓 – Tokyo Institute of Technology 🇯🇵, 2005.
  • D.E. in Electrical and Electronic Engineering 🎓 – Tokyo Institute of Technology 🇯🇵, 2008.

🔬 Career Milestones:

  • 2005–2008: Research Fellow at Japan Society for the Promotion of Science (JSPS) 🇯🇵.
  • 2008–2013: Researcher at the Tokyo Institute of Technology.
  • 2013: Promoted to Assistant Professor at Tokyo Institute of Technology.
  • 2016: Joined Xiamen University as an Associate Professor.

📡 Research Interests:

  • Glass-based antenna-in-package 📦.
  • Millimeter-wave 📶 and THz antennas 🌌.
  • Array antennas for 5G 📱 and car-radar 🚗 applications.

🏆 Awards and Recognitions:

  • 2009 🏅: Best Letter Award – IEICE Communication Society.
  • 2010 🥇: Young Engineer Award – IEICE Technical Committee on Antennas and Propagation.
  • 2011 ⚡: IEEE AP-S Japan Chapter Young Engineer Award.
  • 2015 📜: Best Paper Award – 9th European Conference on Antennas and Propagations.

Publication Top Notes

Development of CGA-PWW Devices Based on Advanced Wafer-Level Processing Technology

An Air-Filled Double-Sided Gap Waveguide Based on Glass Packaging for mm-W Applications

Solder-Free Si-Based mm-W Metallic Waveguide Based on Scaleable Dumbbell-Shaped Holey-EBG Structures

A Waveguide Cavity Antenna for Automotive 4D Millimeter-Wave Radar Applications

A Novel Dual-Linearly-Polarized Quadrifilar Helix Antenna

Self-Decoupled Coupled Line Antenna Pair (CLAP)

Development of Low-Loss and Low-Cost Air-Filled Transmission Lines based on Advanced Glass Wafer Packaging

Dr. Kalindi Shinde | Microwave detection Award | Best Researcher Award

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Dr. Kalindi Shinde | Microwave detection Award | Best Researcher Award

Dr. Kalindi Shinde, Sardar Vallabhbhai National Institute of Technology,Surat, India

 

Dr. Kalindi Shinde is an Assistant Professor in the Department of Electronics and Telecommunication Engineering at Mumbai Educational Trust’s Bhujbal Knowledge City Institute of Engineering in Nasik, India. She earned her PhD from the Department of Electronics at Sardar Vallabhbhai National Institute of Technology (SVNIT) in Surat. With 19 years of experience in teaching and research and development (R&D), Dr. Shinde has contributed significantly to various projects in antenna design, microstrip filter design, and fiber optic links at the Giant Meterwave Radio Telescope (GMRT) Observatory, Tata Institute of Fundamental Research (TIFR), India. Currently, her research focuses on nano antennas, nanomaterials, and perovskite materials for solar applications using TCAD and GPVD tools. Dr. Shinde is also involved in the development and performance evaluation of quality assessment methods for food materials at the Sensor Research Lab at SVNIT. Her extensive experience and dedication to advancing technology in her field make her a valuable asset to the academic and research communities.

 

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award:

Dr. Kalindi Shinde’s broad expertise across antenna design, nano-material research, and sensor technology, combined with her vast experience and active participation in high-impact projects, makes her an ideal candidate for the Research for Best Researcher Award. Her commitment to applying research to industry, specifically in fields like terahertz communications and food quality sensors, adds immense value to her profile. She is not only a well-established researcher but also a forward-looking innovator addressing key technological challenges.

Education

  • PhD in Electronics
    Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India
    [Year of Completion: Include Year]

Work Experience

  • Assistant Professor
    Department of Electronics and Telecommunication Engineering
    Mumbai Educational Trust’s Bhujbal Knowledge City, Institute of Engineering, Nasik, India
    [Month, Year] – Present

    • Teaching and mentoring undergraduate and graduate students in electronics and telecommunication engineering.
    • Conducting research and development projects in various areas of electronics and telecommunication.
  • Research & Development Engineer
    Various Projects (e.g., Antenna Designing, Microstrip Filter Designing, Fiber Optic Link)
    Giant Meterwave Radio Telescope (GMRT) Observatory, Tata Institute of Fundamental Research (TIFR), India
    [Month, Year] – [Month, Year]

    • Worked on multiple R&D projects involving antenna and microstrip filter design.
    • Contributed to the development of fiber optic links for radio telescope applications.
  • Current Research Focus
    • Nano antenna, Nano materials, and Perovskite materials for solar applications using TCAD and GPVD tools.
    • Development and performance evaluation of quality assessment methods for food materials at the Sensor Research Lab, SVNIT.

Publication top Notes:

Design and simulation of planar microwave sensor for food industry

A review on opportunities and challenges of nano antenna for terahertz communications