Mr. Md. Humayun Kabir | Transfer Learning Awards | Best Researcher Award

Posted on by ScienceFather

Mr. Md. Humayun Kabir | Transfer Learning Awards | Best Researcher Award

Mr. Md. Humayun Kabir, International Islamic University Chittagong, Bangladesh

MD. Humayun Kabir is a dedicated educator and professional in the field of computer and communication engineering, currently serving as a Lecturer at the International Islamic University Chittagong, Bangladesh. With a strong foundation in Electronic and Telecommunication Engineering, he is pursuing his M.Sc. at Chittagong University of Engineering and Technology. Humayun’s professional experience includes roles as a Course Instructor at CSL Academy, Senior Technical Trainer at New Vision Information Technology Limited, and Course Instructor at ERevo Technologies Limited, where he specializes in Cisco Certified Network Associate (CCNA) training and various IT certifications. His career is marked by a commitment to enhancing students’ practical skills and preparing them for the rapidly evolving technology landscape. Humayun’s research interests encompass a broad range of topics, including computer networking, cybersecurity, artificial intelligence, machine learning, and the Internet of Things (IoT). With a passion for teaching and mentoring, he aims to inspire the next generation of technology professionals.

Professional Profile:

ORCID

Summary of Suitability for the Research for Best Researcher Award: 

MD. Humayun Kabir emerges as an outstanding candidate for the Research for Best Researcher Award due to his impressive combination of academic achievements, professional experience, and dedicated research interests. Here are the key reasons that support his suitability

📚 Education

  • M.Sc. (Engineering)
    Chittagong University of Engineering and Technology
    Studying since 2020
    GPA: 3.5/4.0
    Field: Electronic and Telecommunication Engineering
  • B.Sc. (Engineering)
    International Islamic University Chittagong
    Graduated in 2018
    GPA: 3.863/4.0
    Field: Electronic and Telecommunication Engineering
  • Higher Secondary Certificate (H.S.C)
    Chittagong Model School & College
    Graduated in 2013
    GPA: 4.90/5.0
    Field: Science
  • Secondary School Certificate (S.S.C)
    Agrasar Bouddya Anathalay High School
    Graduated in 2011
    GPA: 4.44/5.0
    Field: Science

💼 Professional Experience

  • Lecturer
    Department of Computer & Communication Engineering (CCE)
    International Islamic University Chittagong, Bangladesh
    January 2023 – Present
  • Course Instructor
    CSL Training (CSL Academy)
    Cisco Certified Network Associate Routing & Switching (CCNA)
    August 2024 – Present
  • Senior Technical Trainer
    New Vision Information Technology Limited (NVIT / New Horizons)
    Cisco Certified Network Associate Routing & Switching (CCNA)
    May 2023 – Present
  • Course Instructor
    ERevo Technologies Limited
    CCNA, MikroTik Certified Network Associate (MTCNA), RedHat Certified System Administrator (RHCSA), CompTIA A+, IT Essential Certification and Training, Microsoft Office Professionals
    February 2019 – Present
  • Assistant Proctor
    International Islamic University Chittagong, Bangladesh
    March 2023 – August 2024
  • Assistant Lecturer
    Department of Computer & Communication Engineering (CCE)
    International Islamic University Chittagong, Bangladesh
    January 2022 – December 2022
  • Adjunct Lecturer
    Department of Electronic & Telecommunication Engineering (ETE)
    International Islamic University Chittagong, Bangladesh
    November 2018 – December 2021
  • Teaching Assistant
    Department of Electronic & Telecommunication Engineering
    International Islamic University Chittagong, Bangladesh
    May 2018 – September 2018

🏆 Achievements and Awards

  • Cisco Certified Network Associate (CCNA) certification
  • MikroTik Certified Network Associate (MTCNA) certification
  • RedHat Certified System Administrator (RHCSA) certification
  • CompTIA A+ certification
  • IT Essentials Certification and Training
  • Microsoft Office Professionals certification

Publication Top Notes:

Design and Simulation of AI-Enabled Digital Twin Model for Smart Industry 4.0

Enhancing Insider Malware Detection Accuracy with Machine Learning Algorithms

Transfer Learning-Based Anomaly Detection System for Autonomous Vehicle

Design and Implement IoT-Based Intelligent Manageable Smart Street Lighting Systems for Future Smart City

Design and Analysis of Multiband Microstrip Patch Antenna Array for 5G Communications

 

Dr. Minh-Khang Le | Artificial Intelligence Awards | Best Researcher Award

Posted on by ScienceFather

Dr. Minh-Khang Le | Artificial Intelligence Awards | Best Researcher Award 

Dr. Minh-Khang Le, Cedars-Sinai Medical Center, United States

Minh-Khang Le, M.D., Ph.D., is a Postdoctoral Research Scientist in the Department of Pathology and Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles, California. He obtained his Doctor of Medicine degree from the University of Medicine and Pharmacy at Ho Chi Minh City, graduating in the top 10% of his class, and completed his Ph.D. in Pathology at the University of Yamanashi in Japan. His research focuses on integrating histopathology, molecular profiles, and clinicopathological features to characterize human cancers, particularly lymphoid and hematopoietic neoplasms. Dr. Le has contributed to several projects involving histopathology, molecular analyses, and the development of clinicopathological machine-learning models. As a strong advocate for the transformative potential of artificial intelligence in pathology, he aims to enhance the understanding and treatment of cancer. In addition to his postdoctoral position, he has held research roles at various institutions, including the University of Iowa Hospitals and Clinics and the University of Oklahoma Health Sciences Center. Dr. Le’s work has led to impactful advancements in digital pathology and cancer research.

Professional Profile:

SCOPUS

Researcher Suitability Summary for Best Researcher Award: 

Minh-Khang Le is an exemplary candidate for the Best Researcher Award, showcasing a profound commitment to advancing the field of digital pathology and computational biomedicine. His research is particularly focused on integrating histopathological and molecular profiles to enhance the understanding and characterization of human cancers, especially lymphoid and hematopoietic neoplasms. This multidisciplinary approach not only reflects his extensive knowledge but also his dedication to translating complex data into meaningful clinical insights.

Education 🎓

  • Postdoctoral Research Scientist
    Cedars-Sinai Medical Center, Department of Computational Biomedicine and Pathology
    July 2024 – Present
    8700 Beverly Blvd, Los Angeles, CA, USA
  • Ph.D. Student
    University of Yamanashi, Department of Pathology
    April 2020 – March 2024
    GPA: 3.5/4.0
    1110 Shimokato, Chuo, Yamanashi, Japan
  • Doctor of Medicine
    University of Medicine and Pharmacy at Ho Chi Minh City
    October 2013 – September 2019
    Degree Classification: Good (Top 10% of the Course)
    Ho Chi Minh City, Vietnam

Work Experience 💼

  • Postdoctoral Research Scientist
    Cedars-Sinai Medical Center, Department of Computational Biomedicine and Pathology
    July 2024 – Present
  • Part-time Researcher
    New Energy and Industrial Technology Development Organization (NEDO)
    April 2022 – Present
  • Part-time Researcher
    Department of Pathology, The University of Iowa Hospitals and Clinics, Iowa, USA
    April 2022 – Present
  • Research Assistant
    Department of Pathology, University of Yamanashi
    April 2020 – Present
  • Teaching Assistant
    Department of Pathology, University of Yamanashi
    April 2020 – Present
  • Part-time Researcher
    Department of Neurosurgery, The University of Oklahoma Health Sciences Center, Oklahoma, USA
    April 2021 – March 2022

Achievements, Awards, and Honors 🏆

  • Top 10% of the Course in Doctor of Medicine program at the University of Medicine and Pharmacy at Ho Chi Minh City
  • GPA of 3.5/4.0 in Ph.D. studies at the University of Yamanashi

Publication Top Notes:

Clinical implication of PRAME immunohistochemistry in differentiating melanoma in situ and dysplastic nevus in non-acral nevus-associated melanoma in situ: An institutional experience and meta-analysis

A Novel Artificial Intelligence-Based Parameterization Approach of the Stromal Landscape in Merkel Cell Carcinoma: A Multi-Institutional Study

Comprehensive analysis of distinct circadian clock subtypes of adult diffuse glioma and their associations with clinicopathological, genetic, and epigenetic profiles

CXCL5 expression is associated with active signals of macrophages in the microenvironment of papillary thyroid carcinoma

Severe asthmatic airways have distinct circadian clock gene expression pattern associated with WNT signaling

Prof. Dr. Shih-Lin Chang | Artificial Intelligence Awards | Best Researcher Award

Posted on by ScienceFather

Prof. Dr. Shih-Lin Chang | Artificial Intelligence Awards | Best Researcher Award 

Prof. Dr. Shih-Lin Chang, National Yang Ming Chiao Tung University, Taiwan

Dr. Shih-Lin Chang, is a distinguished cardiologist and academic leader in the field of cardiovascular medicine. He is currently the Chief of the Department of Experimental Examination at Taipei Veterans General Hospital and the Director of the Intelligent Medicine and Telehealth Center within the Cardiovascular Center. Dr. Chang is also a Professor of Medicine at National Yang Ming Chiao Tung University, where he has contributed significantly to research and education in cardiology. Dr. Chang completed his M.D. at China Medical University in 1998 and earned his Ph.D. from National Yang Ming Chiao Tung University in 2012. He underwent extensive training, including a residency in Internal Medicine and fellowships in cardiology and electrophysiology at Taipei Veterans General Hospital. His professional journey includes significant roles such as Staff Cardiologist and Associate Director of the Cardiovascular Research Center at National Yang Ming Chiao Tung University.

Professional Profile:

Suitability for Best Researcher Award: Shih-Lin Chang, M.D., Ph.D.

Shih-Lin Chang exemplifies the qualities and achievements that make him an outstanding candidate for the Best Researcher Award. With a robust educational background, including an M.D. from China Medical University and a Ph.D. from National Yang Ming Chiao Tung University, Dr. Chang has established himself as a leading figure in cardiology and electrophysiology.

🎓 Education

  • M.D.: China Medical University, Taiwan (1991–1998)
  • Ph.D.: National Yang Ming Chiao Tung University, Institute of Clinical Medicine, Taiwan (2007–2012)

💼 Work Experience

  • 2023.8: Chief, Department of Experimental Examination, Taipei Veterans General Hospital Healthcare and Services Center
  • 2023.1: Director of Intelligent Medicine and Telehealth Center, Department of Cardiovascular Center
  • 2022.7: Associate Director, Cardiovascular Research Center, National Yang Ming Chiao Tung University
  • 2019.8: Professor of Medicine, National Yang Ming Chiao Tung University, School of Medicine
  • 2017.10–2020.10: Director, Heart Rhythm Center, Taipei Veterans General Hospital
  • 2016.8–2019.8: Associate Professor of Medicine, National Yang Ming Chiao Tung University
  • 2015.3–2017.3: Secretary-General, Taiwan Heart Rhythm Society
  • 2009.3–Present: Staff Cardiologist, Division of Cardiology, Taipei Veterans General Hospital
  • 2006–2009.3: Staff Cardiologist, Division of Cardiology, Suao Veterans Hospital
  • 2004–2006: Fellowship, Clinical and Basic Electrophysiology Laboratory, Taipei Veterans General Hospital
  • 2003–2005: Fellowship, Division of Cardiology, Taipei Veterans General Hospital
  • 2000–2003: Resident, Department of Internal Medicine, Taipei Veterans General Hospital

🏆 Awards and Honors

  • Poster Award: 2nd Asia-Pacific Atrial Fibrillation Symposium (2006) 🖼️
  • First Prize: Young Investigator Award, Taiwan Society of Cardiology (2010) 🥇
  • Young Investigator Award: 3rd Asia-Pacific Heart Rhythm Society (2010) 🏅
  • Best Oral Presentation Award: Taiwan Society of Cardiology (2011) 🎤
  • Best Poster Presentation Award: Taiwan Society of Cardiology (2013) 🖼️
  • Best Teacher Award: National Yang Ming University (2014, 2016, 2019) 🎓
  • Best Paper Award: Veterans General Hospitals and University System of Taiwan Joint Research Program (2015, 2018, 2019, 2021) 📝
  • PBL Tutor Award: National Yang Ming University (2017) 👩‍🏫
  • Outstanding Journal Paper Special Excellence Award: Taiwan Society for Simulation in Healthcare (2021) 🌟
  • Gold Award: Outstanding Academic Research Paper in Medical Education, Taipei Veterans General Hospital (2022) 🥇
  • National Healthcare Quality Award: Smart Services Category (2022) 🏥
  • Clinical Teaching Excellence Award: Taipei Veterans General Hospital (2023) 📚

🌟 Achievements

  • Active roles as editor for Acta Cardiologica Sinica (2015–Present) and Clinical Medicine (2014–Present).
  • Member of APHRS EP Ablation and Digital Health Committees (2024).
  • Numerous oral and poster presentations at international cardiology conferences.
  • Invited faculty/speaker at prestigious global cardiology events, including the European Society of Cardiology Congress and Heart Rhythm Society Annual Scientific Sessions.

Publication Top Notes:

Performance of the novel ANTWERP score in predicting heart function improvement after atrial fibrillation ablation in Asian patients with heart failure

Three-dimensional mapping and superior approach for catheter ablation in patients without inferior vena cava access

Effectiveness and safety of non-vitamin K antagonist oral anticoagulants in low-weight patients with atrial fibrillation

Multistep Algorithm to Predict RVOT PVC Site of Origin for Successful Ablation Using Available Criteria: A Two-Center Cross-Validation Study

Frailty and Its Associated Factors in Patients With Atrial Fibrillation: A Cross-Sectional Study

Prof. Fabio Caldarola | Neural Network Awards | Best Paper Award

Posted on by ScienceFather

Prof. Fabio Caldarola | Neural Network Awards | Best Paper Award 

Prof. Fabio Caldarola, Università della Calabria, Italy

Dr. Fabio Caldarola is an accomplished mathematician and researcher, currently serving as an Assistant Professor in the Department of Environmental Engineering (DIAm) at the University of Calabria, Italy, a position he has held since January 2022. He earned his Ph.D. in Mathematics and Computer Science from the University of Calabria in December 2013, specializing in Algebraic Number Theory with a focus on Iwasawa Theory. Dr. Caldarola also holds a Laurea in Mathematics, graduating cum laude in 2003 with a thesis in Algebraic Geometry. His academic career includes several postdoctoral research fellowships, contributing to projects such as “Smart Secure & Inclusive Communities” and “I-BEST,” where he applied advanced mathematical concepts to environmental and land engineering challenges. His research interests extend to the study of complex networks, including symmetries and symmetry groups in graphs and quivers. With a strong background in pure and applied mathematics, Dr. Caldarola combines theoretical expertise with practical applications in environmental and computational sciences.

Professional Profile:

ORCID

Summary of Suitability for the Best Paper Award: Fabio Caldarola

Research Contributions
Fabio Caldarola is a distinguished researcher in mathematics and computer science, with a strong focus on innovative applications that address contemporary challenges. His significant contributions are showcased through his research publications, especially in the areas of neural fairness, blockchain protocols, and mathematical theories. Notable works include.

Education 🎓

  • Ph.D. in Mathematics and Computer Science (December 2013)
    • Università della Calabria
    • Thesis: Capitulation and Stabilization in various aspects of Iwasawa Theory for Zp-extensions (Algebraic Number Theory)
    • Advisor: Dott. A. Bandini
  • Laurea in Mathematics (May 2003)
    • Università della Calabria
    • 110/110 cum laude
    • Thesis: Rivestimenti Abeliani di Varietà Algebriche (Algebraic Geometry)
    • Advisor: Prof. P. A. Oliverio
  • Maturità Scientifica (July 1998)
    • Liceo Scientifico G.B. Scorza, Cosenza
    • Score: 60/60

Work Experience 💼

  • Assistant Professor (SSD MAT/07)
    • Department of Environmental Engineering, Università della Calabria
    • January 2022 – December 2024
  • Postdoctoral Research Fellowships 📚
    • Smart Secure & Inclusive Communities Project (SSD MAT/02 – INF/01)
      • Department of Mathematics and Computer Science, Università della Calabria
      • August 2020 – October 2021 (15 months)
    • I-BEST Project (SSD MAT/02 – ICAR/02)
      • Department of Environmental and Land Engineering and Chemical Engineering
      • June 2019 – May 2020
    • I-BEST Project (SSD MAT/03 – ICAR/02)
      • Department of Civil Engineering, Università della Calabria
      • May 2018 – April 2019
  • Research Collaboration Contract 🔬
    • Study of complex networks, focusing on symmetries and symmetry groups in graphs and quivers emerging from real contexts
    • Department of Physics, Università della Calabria
    • March 2016 – June 2016 (4 months)

Achievements & Awards 🏆

  • Academic Excellence: Laurea in Mathematics with highest honors (110/110 cum laude) 🎖️
  • Research Impact: Contributed to advanced research in Algebraic Number Theory, Algebraic Geometry, and complex network analysis.
  • Ph.D. Scholarship: Funded by Università della Calabria for excellence in doctoral research

Publication Top Notes:

Neural Fairness Blockchain Protocol Using an Elliptic Curves Lottery

Algebraic Tools and New Local Indices for Water Networks:Some Numerical Examples

Combinatorics on n-sets: Arithmetic Properties and Numerical Results

New Approaches to Basic Calculus: An Experimentation via Numerical Computation

Numerical Experimentations for a New Set of Local Indices of a Water Network

Prof. Catalin Dumitrescu | Artificial Intelligence Awards | Excellence in Research

Posted on by ScienceFather

Prof. Catalin Dumitrescu | Artificial Intelligence Awards | Excellence in Research

Prof. Catalin Dumitrescu, University Politehnica of Bucharest, Romania

Dr. Cătălin Dumitrescu is an Associate Professor and R&D Scientific Adviser specializing in Computing and Artificial Intelligence at the Department of Electronics & Telecommunications, Transportation Engineering Faculty, University Politehnica of Bucharest (UPB), Romania. With a Ph.D. in Digital Signal Processing and Machine Learning from UPB, he possesses extensive expertise in artificial intelligence, machine learning, and digital signal processing, particularly in applications related to defense, cybersecurity, and multimedia security. Dr. Dumitrescu has over 20 years of R&D experience in the defense industry, including roles in machine learning systems for IMINT & SIGINT. He is also a certified expert in Critical Infrastructure Risk Management and Competitive Intelligence.

 

Professional Profile:

Summary of Suitability for Excellence in Research: Dr. Catalin Dumitrescu

Dr. Catalin Dumitrescu exemplifies excellence in research through his extensive expertise, academic credentials, professional experience, and impactful contributions in the fields of Artificial Intelligence, Machine Learning, and Digital Signal Processing, particularly in applications for defense, transportation, and security.

Education

🎓 Ph.D. in Digital Signal Processing & Machine Learning – University Politehnica of Bucharest.
📜 Engineering Degree in Signal and Image Processing – Transportation Engineering Faculty, UPB.
🎓 Postgraduate Degree in International Business & Economics – Bucharest University of Economic Studies.
📑 Certified Expert in:

  • Critical Infrastructure Risk Management ⚠️
  • Competitive Intelligence 🧠

Professional Experience

🔹 2015 – Present: Associate Professor, R&D Adviser in AI & Computing, UPB.
🔹 2018 – Present: R&D Consultant, SOLIDUS AI TECH.
🔹 2015 – 2018: Software Systems Architect, UTI GROUP.
🔹 1995 – 2015: R&D Military Officer, Defense Advanced Technology Institute.
🔹 1986 – 1995: Electronics Engineer, Transport Research Institute.

💡 Career Highlights:

  • 20+ years of experience in Machine Learning, AI, and Cyber Defence.
  • Expertise in IMINT & SIGINT for the defence sector 🛡️.
  • Development of advanced algorithms and software architecture for signal processing and AI systems.

Research Interests

🔍 Core Areas:

  • Artificial Intelligence & Machine Learning 🤖
  • Digital Signal Processing 📡
  • Neural Networks for Audio & Image Analysis 🎧🖼️
  • Cyber Security & Forensics 🕵️‍♂️
  • Cognitive Radio Systems 📻

🔍 Specialized Focus:

  • Deep Learning for object detection and classification 🖥️
  • Brain-Computer Interfaces 🧠
  • EEG, EKG, and EMG signal analysis 📊
  • Cryptography & Multimedia Security 🔒

Teaching Expertise

📚 Courses include:

  • Cyber Security & Defence 🔐
  • Digital Image Processing 📷
  • Real-Time Signal Processing ⏱️
  • Multimedia Forensics and Security 🎥

Publication top Notes:

Fuzzy logic for intelligent control system using soft computing applications

CITED:61

Development of an acoustic system for UAV detection

CITED:60

Using brain-computer interface to control a virtual drone using non-invasive motor imagery and machine learning

CITED:21

Aircraft trajectory tracking using radar equipment with fuzzy logic algorithm

CITED:21

Internal Auditing & Risk Management, No. 4 (56)

CITED:17

Monitoring system with applications in road transport

CITED:17

Dr. Tesfay Gidey | Machine Learning Awards | Best Researcher Award

Posted on by ScienceFather

Dr. Tesfay Gidey | Machine Learning Awards | Best Researcher Award 

Dr. Tesfay Gidey, Addis Ababa Science and Technology University, Ethiopia

Tesfay Gidey Hailu is a distinguished Information and Communication Engineer and data scientist with a strong foundation in computer science, software engineering, data analytics, and machine learning. Holding a Ph.D. in Information and Communication Engineering from the University of Electronic Science and Technology of China, Tesfay specializes in advanced signal processing, indoor localization, information fusion, and health datasets. His expertise spans multiple programming languages, including Python, C++, SQL, and Java, as well as advanced statistical tools like SAS and R, which he uses to derive data-driven insights and support strategic decision-making in technology projects. Tesfay’s career includes notable leadership roles, such as Associate Dean for Research and Technology Transfer at Addis Ababa Science and Technology University (AASTU) and Head of Department at Jimma University. His work in academia has focused on curriculum development, student recruitment and retention, and faculty management, showcasing his commitment to fostering educational excellence. Additionally, Tesfay holds an M.Sc. in Software Engineering and an M.Sc. in Health Informatics and Biostatistics, underscoring his multidisciplinary expertise. With a deep commitment to problem-solving and continuous learning, Tesfay is adept at leveraging data and technology to drive impactful results across both academic and industry settings.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award for Tesfay Gidey Hailu

Overview: Tesfay Gidey Hailu is an accomplished Information and Communication Engineer, specializing in computer science, data science, and software engineering with extensive experience in machine learning, data structure, algorithm analysis, and business analytics. He holds a Ph.D. in Information and Communication Engineering, has published several journal articles, and serves as a journal reviewer for prestigious journals. His broad expertise and impactful contributions make him a strong candidate for the Best Researcher Award.

🎓 Education:

  • Ph.D. in Information and Communication Engineering (2023)
    University of Electronic Science and Technology of China
    Specialized in digital signal processing and information systems, with research in indoor positioning using machine learning algorithms.
  • MSc in Software Engineering (2018)
    HILCOE School of Computer Science and Information Technology
    Completed advanced courses in requirement engineering, project management, and software security.
  • MSc in Health Informatics and Biostatistics (2013)
    College of Health Sciences, Mekelle University
    Focused on health informatics, biostatistics, epidemiology, and public health project management.

Work Experience

  1. Associate Dean for Research and Technology Transfer
    • Institution: AASTU, Addis Ababa, College of Natural and Social Sciences
    • Duration: 2017-2019
    • Responsibilities: Initiated quality improvement initiatives for manufacturing industries, faculty recruitment, supervised admissions, student recruitment, and conducted industry-related research.
  2. Associate Dean, Interdisciplinary Programs Directorate
    • Institution: AASTU, Addis Ababa
    • Duration: 2015-2016
    • Responsibilities: Managed student services and retention, supervised curriculum quality initiatives, admissions, and presented research findings.
  3. Head of Department
    • Institution: Jimma University, Jimma
    • Duration: 2008-2009
    • Responsibilities: Led department meetings, evaluated performance, streamlined operations to enhance student satisfaction.
  4. Coordinator, Community-Based Training Program (CBTP)
    • Institution: Jimma University, Faculty of Natural and Information Sciences Extension Division
    • Duration: 2007-2008
    • Responsibilities: Oversaw the CBTP initiative, focusing on community-based training programs.

Publication top Notes:

Theories and Methods for Indoor Positioning Systems: A Comparative Analysis, Challenges, and Prospective Measures

Ada-LT IP: Functional Discriminant Analysis of Feature Extraction for Adaptive Long-Term Wi-Fi Indoor Localization in Evolving Environments

MultiDMet: Designing a Hybrid Multidimensional Metrics Framework to Predictive Modeling for Performance Evaluation and Feature Selection

Assist Prof Dr. Yishu Zhang | Artificial Neuron Awards | Best Researcher Award

Posted on by ScienceFather

Assist Prof Dr. Yishu Zhang | Artificial Neuron Awards | Best Researcher Award 

Assist Prof Dr. Yishu Zhang, Zhejiang University, China

Yishu Zhang is a 32-year-old researcher currently serving as a Hundred Talents Researcher at the School of Micro-nano Electronics, Zhejiang University. He holds a Ph.D. in Electronic Engineering from the Singapore University of Technology and Design, where he achieved a GPA of 4.4/5 under the supervision of Zhao Rong. Zhang also earned his B.Sc. in Microelectronics from Jilin University, China, with a GPA of 3.61/4. He has over five years of professional experience, including roles as the Director of the Reliability Department at the Zhejiang CMOS Innovation Platform and as an Assistant Professor at Zhejiang University. His research focuses on emerging memristive devices, neuromorphic computing, and the 55nm CMOS manufacturing process. Zhang has supervised several doctoral and master’s students, contributing to advancements in high-reliability RRAM devices and neuromorphic computing based on 2D materials. He has been recognized for his work with various awards and honors, including the Zhejiang Province Thousand Talents Project and a Silver Medal in the 2023 China Postdoctoral Innovation and Entrepreneurship Competition. Zhang has also contributed to the academic community as a guest editor and reviewer for several prestigious journals. His skills encompass micro-nanofabrication, electrical characterization, semiconductor processes, and data processing using Python.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Yishu Zhang

Research Expertise & Direction: Yishu Zhang is an exceptional candidate for the Best Researcher Award due to his extensive contributions to emerging technologies such as memristive devices (RRAM, CBRAM, and 2D ferroelectronics), neuromorphic computing, and in-memory computing. His specialization in cutting-edge technologies that directly impact fields like AI hardware and bio-medical applications demonstrates his forward-thinking approach and relevance in today’s research landscape.

Education:

  • Ph.D. in Electronic Engineering (2015.1 – 2019.10):
    Singapore University of Technology and Design (SUTD)
    GPA: 4.4/5
    Supervisor: Zhao Rong
  • B.Sc. in Microelectronics (2010.9 – 2014.7):
    Jilin University, China
    GPA: 3.61/4

Work Experience:

  • Director of Reliability Department (2022.3 – Present):
    Zhejiang CMOS Innovation Platform

    • Supervises 2 doctoral and 2 master’s students working on high-reliability RRAM devices compatible with 55nm standard logic back-end processes.
    • Responsible for R&D of 55nm device reliability and embedded eFlash.
  • Assistant Professor (2021.11 – Present):
    School of Micro-nano Electronics, Zhejiang University

    • Supervises 4 doctoral and 1 master’s student, focusing on neuromorphic computing devices based on 2D materials.
  • Research Fellow (2019.12 – 2021.10):
    National University of Singapore
    Supervisor: Loh Kian Ping

    • Investigated two-dimensional ferroelectric materials for neuromorphic devices and designed biocompatible neuromorphic devices for biomedical applications.
  • Intern, PhD Researcher (2018.10 – 2019.9):
    Institute for Infocomm Research (I2R), A*STAR
    Supervisor: Jiang Wenyu

    • Worked on Spiking Neural Networks (SNN) and their applications in image classification using emerging memory devices.
  • Intern, PhD Researcher (2018.5 – 2018.9):
    Sungkyunkwan University, N Center
    Supervisor: Yang Heejun

    • Explored 2D materials like hBN and Graphene for large-scale memory applications, designing a self-selective Van Der Waals Heterostructure.

Teaching Experience:

  • Artificial Intelligence Hardware Design (Graduate Course), Co-Lecturer at Zhejiang University (2022.10 – 2022.12)
  • Fabrication of Microelectromechanical Systems (Undergraduate Course), Teaching Assistant at SUTD (2017.1 – 2017.5)
  • Engineering in the Physical World and Design (Undergraduate Course), Teaching Assistant at SUTD (2016.1 – 2016.5)

Publication top Notes:

cited:186
cited:168
cited:164
cited:130
cited:102

Mr. Heng Luo | Machine Learning Awards | Young Scientist Award

Posted on by ScienceFather

Mr. Heng Luo | Machine Learning Awards | Young Scientist Award 

Mr. Heng Luo, The Hong Kong Polytechnic University, Hong Kong

Heng Luo is a distinguished researcher and PhD candidate at The Hong Kong Polytechnic University, specializing in the Institute of Textiles and Clothing since January 2021. His academic journey is marked by diverse and rich experiences across several prestigious institutions. Heng holds a Master’s degree in Electronic Engineering from the University of Electronic Science and Technology of China, completed in 2013, followed by another Master’s degree from the same institution in 2016, focusing on the Department of Industrial and Systems Engineering. Additionally, he earned an MSc from the University of Warwick’s Manufacturing Group. Heng’s research interests span across smart hardware, artificial intelligence, flexible devices, robotics, signal processing, cloud computing, and edge computing. His dedication to advancing technology is reflected in his active memberships with the Institution of Engineering and Technology and the IEEE, where he also contributes as a member of the Young Professionals group. His contributions to the field are recognized on platforms such as SciProfiles and ORCID, showcasing his commitment to connecting research and researchers worldwide. Heng Luo’s work exemplifies the integration of interdisciplinary knowledge and innovative thinking, driving forward the frontiers of technology and engineering

Professional Profile:

ORCID

Education:

  • 🎓 PhD, The Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Kowloon, Hong Kong (2021 – Present)
  • 🎓 MSc, Warwick Manufacturing Group, The University of Warwick, Coventry, West Midlands, UK (2013 – 2016)
  • 🎓 MSc, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong (2013 – 2016)
  • 🎓 Master Degree, Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (2012 – 2013)
  • 🎓 Bachelor Degree, Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China (2008 – 2012)

Membership and Service:

  • 🏛️ Member, Institution of Engineering and Technology, Hong Kong, UK (2021 – Present)
  • 🌐 Member, IEEE, Hong Kong, NY, US (2021 – Present)
  • 👨‍💻 Young Professionals, IEEE, Hong Kong, NY, US (2021 – Present)

Work Experience

Note: The original information provided did not include details about work experience. If there is specific information about Heng Luo’s work experience that needs to be included, please provide those details.

Publication top Notes:

Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities

Evaluating and Modeling the Degradation of PLA/PHB Fabrics in Marine Water

Ionic Hydrogel for Efficient and Scalable Moisture‐Electric Generation

Article identification method and device based on machine learning

Observer-based control of discrete-time fuzzy positive systems with time delays

Observer-based control of discrete-time fuzzy positive systems with time delays

Stability analysis of discrete-time fuzzy positive systems with time delays

Method for generating multi-input multi-output over-horizon (MIMO-OTH) radar waveforms based on digital signal processor (DSP) sequences