Mr. Luis Carlos Pereira Pinto | Laser Radar | Best Researcher Award

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Mr. Luis Carlos Pereira Pinto | Laser Radar | Best Researcher Award 

Mr. Luis Carlos Pereira Pinto, Institute of Telecommunications, Portugal

Luís Pinto is a dedicated and skilled telecommunications engineer with a Master’s degree in Electrical and Computer Engineering from the University of Coimbra, where he specialized in Mobile and Optical Communications, Networks, and Services. His academic path is marked by strong performance, culminating in a master’s thesis titled “High-resolution FMCW Lidar using a directly modulated semiconductor laser”, which earned a top grade. Luís has gained valuable research experience as a research technician at ISR Coimbra and currently holds a research grant at the Instituto de Telecomunicações in Coimbra, focusing on laser chirp nonlinearity compensation and photonic integrated circuit (PIC) design using Ansys Interconnect. He is the author of a journal article published in Sensors (MDPI) and has presented his work at the ICTON 2025 conference in Barcelona. In addition, he has contributed to projects involving applied machine learning and audio signal processing. With strong technical skills in programming, simulation, and system optimization, Luís is enthusiastic about advancing in the field and contributing to the future of telecommunications through research and innovation.

Professional Profile:

ORCID

Summary of Suitability: Luis Pinto – Best Researcher Award

Luis Pinto is an emerging researcher in the field of Electrical and Computer Engineering, with a strong focus on Telecommunications, Optical Communications, and Advanced Sensing Technologies. With both academic excellence and hands-on experience in high-impact projects, Luis demonstrates strong potential for innovation and leadership in cutting-edge research.

Education

MSc in Electrical and Computer Engineering
University of Coimbra, 2022 – 2024
Final Grade: 17/20

  • Specialization in Telecommunications (Mobile and Optical Communications, Networks and Services)

  • Master’s Thesis: “High-resolution FMCW Lidar using a directly modulated semiconductor laser”
    Thesis Grade: 19/20

BSc in Electrical and Computer Engineering
University of Coimbra, 2019 – 2022
Final Grade: 14/20

  • Specialization in Telecommunications (Mobile and Optical Communications, Networks and Services)

Additional Training

  • Short-Term Course on Robotics & Applied Machine Learning

Work Experience

Research Technician
Instituto de Telecomunicações (IT), Coimbra
December 2024 – Present

  • Developed and validated pre-distortion algorithms to compensate for laser chirp nonlinearity

  • Used Ansys Interconnect for photonic integrated circuit (PIC) design

  • Characterized Fraunhofer HHI components

  • Delivered the first InP-based PIC design version

  • Optimized system performance through simulations and experimental testing

Laboratory Technician (Summer Internship)
Coficab Portugal
July 2020

Research Grant Recipient
Institute of Systems and Robotics (ISR), Coimbra
January 2023 – July 2023

  • Contributed to the “Audiology for All: A4A” project

  • Developed audio signal processing algorithms

  • Used MATLAB and Python to enhance real-time sound monitoring and analysis

  • Collaborated with a multidisciplinary team to improve audio accessibility

Publications and Conferences

  • Journal Article:
    “Enhanced High-Resolution and Long-Range FMCW LiDAR with Directly Modulated Semiconductor Lasers”,
    published in Sensors (MDPI), 2025.
    DOI: 10.3390/s25134131

  • Conference Presentation:
    Presented “High Resolution Optical Ranging using a Linearized Directly Modulated DFB Laser” at ICTON 2025, Barcelona, July 2025

Publication Top Notes:

Enhanced High-Resolution and Long-Range FMCW LiDAR with Directly Modulated Semiconductor Lasers

High-resolution FMCW LiDAR using a directly modulated semiconductor laser

Dr. Ze You | Smart Detection Awards | Best Researcher Award

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Dr. Ze You | Smart Detection Awards | Best Researcher Award  

Dr. Ze You, Liaoning Technical University, China

Ze You is a dedicated Ph.D. student in the School of Surveying, Mapping, and Geographic Sciences at Liaoning Technical University, specializing in the science and technology of surveying and mapping. He holds a Master’s and Bachelor’s degree in the same field, showcasing a consistent academic focus and excellence. With a strong foundation in aerial photogrammetry and remote sensing, Ze is proficient in Python, Matlab, and software tools like ArcGIS, Tscan, and CloudCompare. His professional experience includes working at Wuhan Xuntu Space-Time Software Technology Co., Ltd., where he provided technical support, pre-sales assistance, and feedback to the R&D department. A recipient of numerous scholarships and awards, including a National Scholarship for academic excellence, Ze has demonstrated outstanding performance in competitions such as the MathorCup University Mathematical Modeling Challenge and the National College Students’ Algorithm Design and Programming Challenge. Ze combines his technical skills and academic achievements with a passion for innovation and problem-solving in surveying and mapping sciences.

Professional Profile:

SCOPUS

Suitability of Ze You for the Best Researcher Award

Ze You is a highly qualified candidate for the Best Researcher Award, showcasing a robust academic, professional, and research portfolio that highlights his contributions to the field of surveying, mapping, and remote sensing. Below are the key factors supporting his nomination:

Professional Skills & Expertise 🖥️📈

  • Certified in C programming language 💻.
  • Proficient in Python 🐍 and MATLAB 📊, and skilled in tools like ArcGIS, Tscan, CloudCompare, PyCharm, and VS Code.
  • Certified Assistant Engineer in Aerial Photogrammetry and Remote Sensing ✈️🌌.

Work Experience 🏢🔧

  • Technical Support Specialist at Wuhan Xuntu Space-time Software Technology Co., Ltd. (2019–2020)
    • Delivered pre-sales support and resolved customer issues through after-sales services 🤝.
    • Conducted software testing, reported bugs, and provided improvement recommendations 🛠️.
    • Authored operational documents and managed the company’s WeChat public account 📱.

Achievements & Awards 🏆🌟

  • Academic Excellence
    • National Scholarship for Top 3% Students (October 2023) 🎖️.
    • Scholarships for Top 35% Students (2016, 2023) 🎓.
    • Dalian Yellow Sea and Bohai Sea Surveying and Mapping Scholarship (May 2018) 🌊.
  • Competitions
    • 🥈 9th China Surveying and Mapping Paper Competition – Second Prize (2017).
    • 🥇 Liaoning Geography Star Competition – Individual First Prize, Group Second Prize (2018).
    • 🏅 12th MathorCup – Second Prize (2022).
    • 🏆 Algorithm Design Competitions – Gold (2022) and Silver Awards (2022).
    • 🥉 Asia-Pacific Math Contest in Modeling – Third Prize (2023).
    • 🥈 Dimension Cup Mathematical Modeling Challenge – Second Prize (2023).

Publication top Notes:

Combining geometrical and intensity information to recognize vehicles from super-high density UAV-LiDAR point clouds

Urban object classification of multispectral airborne LiDAR data with multidimensional Gauss mixture model and neighborhood constraints | 多维GMM 与邻域约束的多光谱机载LiDAR 数据城市地物分类

Airborne MS-LiDAR data classification by combining NDRI features and spatial correlation | 联合NDRI特征和空间相关性的机载MS-LiDAR数据分类

A method for data density reduction in overlapped airborne LiDAR strips

 

Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award

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Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award 

Assist Prof Dr. Loknath Sai Ambati, Oklahoma City University, United States

Dr. Loknath Sai Ambati is an accomplished academic and researcher specializing in Information Systems and Data Analytics. Currently serving as an Assistant Professor of Data Analytics at Oklahoma City University, Dr. Loknath Sai Ambati holds a Doctor of Philosophy in Information Systems, with a specialization in Artificial Intelligence, from Dakota State University, where they also earned two master’s degrees in Information Systems and Data Analytics. With over five years of teaching experience, they have instructed various courses at both undergraduate and graduate levels, focusing on business analytics, healthcare analytics, and social media mining.The Activity Detection Award celebrates innovations in behavioral recognition technology. Explore eligibility, qualifications, publications, and submission guidelines for this esteemed recognition.

Professional Profile:

SCOPUS

 

Summary of Suitability for Best Researcher Award: Loknath Sai Ambati

Based on Loknath Sai Ambati’s impressive educational background, research contributions, and professional experience, he is a highly suitable candidate for the Best Researcher Award.

Education

Dakota State University, Madison, South Dakota
Doctor of Philosophy in Information Systems (Artificial Intelligence)
Master of Science in Information Systems
Master of Science in Data Analytics
GPA: 4.0/4.0
August 2018 – April 2023 (PhD)
August 2019 – December 2020 (MS in Information Systems)
August 2016 – December 2017 (MS in Data Analytics)

VIT University, Chennai, India
Bachelor of Technology in Electronics and Communication Engineering
GPA: 8.55/10
July 2012 – May 2016

Work Experience

Assistant Professor of Data Analytics
Oklahoma City University
September 2023 – Present

  • Teaching graduate-level Data Analytics courses.
  • Engaging in research activities related to Information Systems and Data Analytics.
  • Participating in service activities, including serving on review committees for various conferences and journals.
  • Serving as the Faculty Advisor for the Indian Student Association at OCU.

Visiting Assistant Professor of Business Analytics
Indiana University
May 2022 – August 2023

  • Teaching various Business Analytics courses at both undergraduate and graduate levels.
  • Conducting research activities in healthcare and social media analytics.
  • Participating in service activities, including serving on review committees for conferences and journals.

Graduate Research Assistant
Dakota State University
August 2018 – May 2022

  • Worked on innovations in wearable technology integrated with Artificial Intelligence for healthcare.
  • Assisted the supervisor with research projects and interacted with students regarding course content.
  • Volunteered as an instructor for certain courses as needed.

Analytics Developer
Baylor Scott and White Health
February 2018 – August 2018

  • Applied machine learning algorithms to denial data, achieving savings of up to $0.5 million on denials.
  • Implemented statistical models to reduce denial claims and enhance revenue efficiency.
  • Analyzed correlations between physician coding behaviors and Medicare Risk Adjustment Factor (RAF) scores.
  • Technologies used: Power BI, R, SAS, Python, SQL, MicroStrategy, Advanced Excel.

Publication top Notes:

Human Body Full-body Motion Gesture Image Feature Capture in Mobile Sensor Networks

Intrusion Detection System: A Comparative Study of Machine Learning-Based IDS

Explosive force acquisition of sprinter lower limb in training based on WSN

Two-phase classification: ANN and A-SVM classifiers on motor imagery BCI

Optimal trained long short-term memory for opinion mining: a hybrid semantic knowledgebase approach

FHE-Blockchain: Enhance the Scheme for Secret Sharing of IoMT Data using Decentralized Techniques

Design of Civil Aviation Security Check Passenger Identification System Based on Residual Convolution Network

 

Jing Yu | Advanced Infrared Technology | Best Researcher Award

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Mr.Jing Yu | Advanced Infrared Technology | Best Researcher Award

Doctoral Candidate at Changchun University of Science and Technology,China

Yu Jing, a PhD candidate in Optical Engineering at Changchun University of Science and Technology, was born in November 1996 in Xinyu, Jiangxi. He specializes in semiconductor optoelectronic materials and devices. Under the guidance of Professor Fu Yuegang, Yu has developed a solid foundation in semiconductor physics and manufacturing techniques. His research is characterized by innovative contributions to the design and optimization of infrared detectors. With a strong academic background and hands-on experience in various semiconductor technologies, Yu is dedicated to advancing the field of optoelectronics. His work has led to significant findings, particularly in the development of high-performance short-wavelength infrared detectors.

Profile:

Scopus Profile

Strengths for the Award:

  1. Research Contributions: Yu Jing’s work on semiconductor optoelectronic materials and devices is impactful, as evidenced by recent publications such as “Interface Engineering and Electron-Hole Wave Function Overlap of InAs/AlSb Superlattice Infrared Detectors” in Photonics (2023). This demonstrates a solid understanding of advanced materials and innovative device applications.
  2. Technical Skills: Proficiency in layout design, molecular beam epitaxy (MBE), and semiconductor device fabrication underscores Yu’s capability in experimental and theoretical aspects of optics and materials science. Mastery of relevant software (L-edit, Origin, Matlab) enhances research efficiency.
  3. Project Involvement: As a lead researcher on significant projects, Yu has contributed to the development of high-performance infrared detectors, showcasing project management and execution skills. This experience adds to his credibility as a researcher.
  4. Collaborative Research: Active participation in multiple research projects indicates strong collaboration skills, essential for academic and industrial advancements in materials science.

Areas for Improvement:

  1. Broader Research Scope: Expanding research into related fields, such as device integration with emerging technologies or interdisciplinary collaborations, could enhance the impact of Yu’s work.
  2. Public Outreach: Increasing visibility through conferences, workshops, and community engagement could help disseminate research findings and foster collaboration.
  3. Mentorship: Taking on mentoring roles for junior researchers or students could enhance leadership skills and contribute to the academic community.

Education:

Yu Jing is currently pursuing his PhD in Optical Engineering at Changchun University of Science and Technology, having enrolled in September 2021. His academic journey began with a Bachelor’s degree in Measurement and Control Technology from Jiangxi University of Science and Technology (2014-2018), where he gained foundational knowledge in C programming and instrumentation. Following this, he earned a Master’s degree in Instrumentation Engineering from China Metrology University (2018-2021), focusing on weak signal detection and instrument accuracy. Throughout his studies, Yu has engaged with essential courses that underpin his expertise in semiconductor device physics and manufacturing technologies. His educational background equips him with both theoretical knowledge and practical skills, making him a well-rounded researcher in the field of optical engineering.

Experience:

Yu Jing has accumulated extensive research experience in the field of semiconductor optoelectronics during his doctoral studies. As a key researcher, he has contributed to several projects, including the development of high-performance extended short-wave infrared superlattice detectors. His responsibilities included designing InAs/GaSb/AlSb superlattice structures using the 8kp model and optimizing material growth parameters via molecular beam epitaxy (MBE). Yu also independently handled layout design and device fabrication. Additionally, he constructed testing systems for short-wave detectors and conducted comprehensive data analysis to evaluate dark current and optical response. Another significant project involved designing AlInAsSb quaternary alloy structures for avalanche photodetectors, focusing on enhancing key growth parameters and device passivation techniques. His hands-on experience with semiconductor device simulation, fabrication, and testing solidifies his capability as a researcher in optical engineering.

Research Focus:

Yu Jing’s research focuses on semiconductor optoelectronic materials and devices, particularly in developing high-performance infrared detectors. His work involves the design and optimization of superlattice structures, leveraging advanced fabrication techniques such as molecular beam epitaxy. A notable area of his research is the exploration of extended short-wave infrared detectors, where he employs innovative methods to improve device performance. Yu investigates electron-hole wave function overlap in InAs/AlSb superlattices, aiming to enhance detection efficiency and reduce dark current. He is also engaged in projects concerning avalanche photodetectors, where his design of quaternary alloy structures aims for optimal performance at long wavelengths. By integrating theoretical models with practical experimentation, Yu contributes to advancing the understanding and application of semiconductor materials in optoelectronics, ultimately impacting the development of next-generation infrared technologies.

Publications Top Notes:

  1. Interface Engineering and Electron-Hole Wave Function Overlap of InAs/AlSb Superlattice Infrared Detectors 📄
  2. Low Dark Current Density Extended Short-Wavelength Infrared Superlattice Photodetector with Atomic Layer Deposited Al2O3 Passivation 📄
  3. Influence of V/III Flux Ratio on Type-II InAs/GaSb Superlattice for Very-Long Wavelength 📄

Conclusion:

Yu Jing exhibits strong potential for the Best Researcher Award due to significant contributions to semiconductor optoelectronic research and proficiency in advanced materials engineering. By broadening research scope and enhancing community engagement, Yu can further solidify his position as a leading researcher in the field. His combination of technical skills, research experience, and collaborative efforts makes him a worthy candidate for recognition.