Masoud DANESHTALAB | deep learning | Best Researcher Award

Posted on 28/12/202428/12/2024 by ScienceFather

Prof. Masoud DANESHTALAB | deep learning | Best Researcher Award

Prof. Masoud DANESHTALAB, Mälardalen University, Sweden.

Masoud Daneshtalab, Ph.D., Docent, Full Professor
Masoud Daneshtalab is a globally recognized scholar and Full Professor at Mälardalen University (MDU), Sweden. With over two decades of academic and professional excellence, he has made significant contributions to computer science and engineering, specializing in dependable systems, AI, and hardware/software co-design. A prolific researcher with an H-index of 35 and over 5,100 citations, Dr. Daneshtalab is included in the prestigious World’s Top 2% Scientists Ranking. He serves as the Scientific Director of Fundamental AI at MDU and collaborates internationally, holding adjunct professorships and contributing to cutting-edge research initiatives.

Professional Profile:

Google Scholar

Suitability of Masoud Daneshtalab for the Best Researcher Award

Dr. Masoud Daneshtalab is a highly suitable candidate for the “Research for Best Researcher Award,” based on his exceptional academic achievements and professional contributions. Here are the key reasons

Education

🎓 Academic Journey

Docent (2018): Qualified in Computer Science and Electronics, Mälardalen University, Sweden.
Ph.D. (2008–2011): Information and Communication Technology, University of Turku, Finland. Dissertation: Adaptive Implementation of On-Chip Networks under Prof. Hannu Tenhunen.
M.Sc. (2004–2006): Computer Engineering, University of Tehran, Iran. Thesis: Low Power Methods in Network-on-Chips under Prof. Ali Afzali-Kusha.
B.Sc. (1998–2002): Computer Engineering, Shahid Bahonar University of Kerman, Iran.

Experience

💼 Professional Contributions

Scientific Director (2024–Present): Fundamental AI, Mälardalen University, Sweden.
Full Professor (2020–Present): Innovation, Design & Engineering, MDU.
Adjunct Professor (2019–Present): Computer Systems, Tallinn University of Technology, Estonia.
Previous Roles: Associate Professor at MDU (2016–2020), EU Marie Curie Fellow at KTH Royal Institute of Technology (2014–2016), Lecturer at the University of Turku (2011–2014), and Researcher at the University of Tehran (2006–2008).

Research Interests

🔬 Key Areas

Optimization and robustness in deep learning models.
HW/SW co-design and heterogeneous computing.
Dependable systems, memory architectures, and interconnection networks.
Cutting-edge projects include sustainable AI, federated learning, and reliable autonomous systems.

Awards

🏆 Recognitions

Best Paper Awards: IEEE ECBS (2019), IEEE MCSoC (2018), and multiple HiPEAC Paper Awards (2013–2017).
Research Grants: Marie Skłodowska-Curie Fellowship (2014), Nokia Foundation (2009), and others.
Top Reviewer: IEEE Transactions on Computers (2013).
Fellowships: GETA, Helsinki University of Technology (2008–2011).

Publications

A review on deep learning methods for ECG arrhythmia classification

CITIED: 490

Time-Sensitive Networking in automotive embedded systems: State of the art and research opportunities

CITIED: 147

Routing algorithms in networks-on-chip

CITIED: 136

Smart hill climbing for agile dynamic mapping in many-core systems

CITIED: 125

EDXY–A low cost congestion-aware routing algorithm for network-on-chips

CITIED: 124

Deep Maker: A multi-objective optimization framework for deep neural networks in embedded systems

CITIED: 122

Prof. Suk Chan Kim | Computer Vision Awards | Best Researcher Award

Posted on 21/12/2024 by ScienceFather

Prof. Suk Chan Kim | Computer Vision Awards | Best Researcher Award

Prof. Suk Chan Kim, Pusan National University, South Korea

Suk Chan Kim is a distinguished scholar in the field of Electrical and Electronics Engineering, specializing in wireless mobile communications, signal processing, mesh networks, IoT, underwater communications, and artificial intelligence. He currently serves as an Assistant Professor in the Department of Electronics Engineering at Pusan National University (PNU), Korea, where he has been contributing to academia since 2002. Dr. Kim earned his Ph.D. (2000) and M.S.E. (1995) in Electrical Engineering from the Korea Advanced Institute of Science & Technology (KAIST), following a B.S.E. degree with summa cum laude honors from PNU in 1993. His postdoctoral research at Princeton University (2000–2001) further honed his expertise in advanced engineering topics. He has also worked as a researcher at the Electronics and Telecommunications Research Institute (ETRI) in Korea and as a teaching and research assistant at KAIST.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Suk Chan Kim

Dr. Suk Chan Kim is a highly accomplished researcher with significant contributions in wireless mobile communications, signal processing, IoT, underwater communications, and artificial intelligence. Based on his profile, here are the key highlights supporting his candidacy for the “Research for Best Researcher Award”:

Education 🎓

Ph.D. in Electrical Engineering
Korea Advanced Institute of Science & Technology (KAIST), Daejeon, Korea, 2000
M.S.E. in Electrical Engineering
KAIST, Daejeon, Korea, 1995
B.S.E. (Summa Cum Laude) in Electronics Engineering
Pusan National University (PNU), Pusan, Korea, 1993

Work Experience 💼

Assistant Professor
Dept. of Electronics Engineering, Pusan National University, Korea (March 2002 – Present)
Postdoctoral Researcher
Dept. of Electrical Engineering, Princeton University, USA (August 2000 – July 2001)
Researcher
Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea (March 2000 – July 2000)
Teaching and Research Assistant
Dept. of Electrical Engineering, KAIST, Daejeon, Korea (March 1993 – February 2000)

Awards & Honors 🏆

Grants for Postdoctoral Study Abroad
Korea Science and Engineering Foundation (KOSEF), 2000 🌍
Grants for Young Scientists
Korea Research Foundation (KRF), 1998 🧑‍🔬
Summa Cum Laude
Pusan National University, Pusan, Korea, 1993 🎖️
Hyundai Asan Foundation Scholarship
1992 🎓

Publication Top Notes:

ESFD-YOLOv8n: Early Smoke and Fire Detection Method Based on an Improved YOLOv8n Model

Enhancing automated strabismus classification with limited data: Data augmentation using StyleGAN2-ADA

Ultrasonic Based Outdoor Localization Using Threshold Crossing

DBPN-Based Uplink Channel Estimation for Multi-User MISO RIS System

Low-Complexity RIS Phase Error Estimation Method for RIS-Aided OFDM Systems

Spectrum Allocation Based on Deep Reinforcement Learning in mmWave Integrated Access and Backhaul Network

Prof. Jin Ho Suh | Deep Neural Network Awards | Best Researcher Award

Posted on 12/12/2024 by ScienceFather

Prof. Jin Ho Suh | Deep Neural Network Awards | Best Researcher Award

Prof. Jin Ho Suh, Pukyong National University, South Korea

Dr. Jin-Ho Suh is a distinguished professor and expert in robotics, currently leading the Field Robotics Laboratory (FRLab) within the Major of Mechanical System Engineering at Pukyong National University, South Korea. With a Ph.D. in Control Engineering from the Tokyo Institute of Technology, Japan, and over two decades of academic and professional experience, Dr. Suh has significantly contributed to the fields of robotics and mechanical systems. He has held prominent roles, including Director of the Institute of Control, Robotics, and Systems, and is a Senior Member of IEEE. His leadership extends to national initiatives as the Chairman of the National Core Technology Committee for Robotics in South Korea and as an expert member of the Presidential Advisory Council on Science & Technology.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Prof. Jin-Ho Suh

Prof. Jin-Ho Suh, a distinguished researcher in the field of robotics and control engineering, holds a Ph.D. in Control Engineering from the Tokyo Institute of Technology and currently serves as a professor at Pukyong National University in South Korea. His extensive academic and professional experience, combined with significant contributions to the field, makes him an excellent candidate for the Best Researcher Award.

Education 🎓

Ph.D. in Control Engineering
Tokyo Institute of Technology, Japan (Dec 1998 – Mar 2002)
Master of Engineering
Graduate School of Engineering, Pukyong National University, South Korea (Mar 1996 – Feb 1998)
Bachelor of Science in Mathematics
Hanyang University, South Korea (Mar 1989 – Feb 1993)

Work Experience 🛠️

Professor (Sep 2018 – Present)
Major of Mechanical System Engineering, Pukyong National University
Senior Member (Nov 2022 – Present)
Institute of Electrical and Electronics Engineers (IEEE)
Director
- Institute of Control, Robotics, and Systems (Jan 2022 – Present)
- Korean Society for Precision and Engineering (Jan 2020 – Present)
- Korea Robotics Society (Jan 2018 – Present)
- Korean Society for Power System Engineering (Jan 2017 – Present)
Chairman of the National Core Technology Committee (Robot) (Nov 2017 – Present)
Korean Association for Industrial Technology Security
Expert Member (Jan 2021 – Present)
Presidential Advisory Council on Science & Technology, South Korea
Adjunct Professor (Dec 2013 – Aug 2018)
Department of Mechanical Engineering, POSTECH
Director of R&D Division (Apr 2006 – Aug 2018)
Korea Institute of Robotics and Convergence Technology (KIRO)
Post-Doctoral Fellow (Jun 2003 – Feb 2006)
National Research Laboratory, Dong-A University

Achievements 🏆

Patents
- 28 patents (7 international PCT)
Publications
- 14 papers in international journals (13 SCI)
- 23 papers in domestic journals (15 SCOPUS)
- 15 papers in international conferences
- 60 papers in domestic conferences

Awards and Honors 🌟

Director Roles in Leading Engineering Societies
- Institute of Control, Robotics and Systems
- Korea Robotics Society
- Korean Society for Precision and Engineering
Presidential Advisory Council Member
- Significant contributions to national robotics and precision engineering strategies.
Chairman, National Core Technology Committee (Robot)
- Recognized leader in industrial robotics technology and security.

Publication Top Notes

Artificial Neural Network for Glider Detection in a Marine Environment by Improving a CNN Vision Encoder

Development of a Multi-Robot System for Pier Construction

Model-Free RBF Neural Network Intelligent-PID Control Applying Adaptive Robust Term for Quadrotor System

Development of Fishcake Gripping and Classification Automation Process Based on Suction Shape Transformation Gripper

Estimation and Control of a Towed Underwater Vehicle with Active Stationary and Low-Speed Maneuvering Capabilities

Adaptive Robust RBF-NN Nonsingular Terminal Sliding Mode Control Scheme for Application to Snake Robot’s Head for Image Stabilization

Development of Recovery System for Underwater Glider

Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award

Posted on 09/12/2024 by ScienceFather

Dr. Nicoleta Anton | Artificial Intelligence Awards | Best Researcher Award

Dr. Nicoleta Anton is affiliated with the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania.

Dr. Nicoleta Anton is a senior lecturer in Ophthalmology at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With a medical degree and a Ph.D. in Medical Sciences specializing in Ophthalmology, she has extensive clinical experience as a primary care physician at St. Spiridon Hospital and previously worked as an ophthalmologist at several esteemed institutions, including St. Spiridon University Hospital and Euro Medi Center. Dr. Anton has been involved in academia since 2015, supervising undergraduate students and conducting research, with a notable record of published articles and contributions to various scientific conferences. She is an active member of several professional societies, including the Romanian Society of Ophthalmology and the European Society of Retina Specialists, and she continually enhances her expertise through ongoing training and participation in international workshops.

Professional Profile:

SCOPUS

Summary

Dr. Nicoleta Anton’s combination of academic excellence, clinical expertise, research productivity, leadership experience, and professional involvement makes her a strong candidate for the Research for Best Researcher Award. Her contributions not only advance the field of Ophthalmology but also have a positive impact on patient care and the academic community.

Education and Training

2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology
2021: Health Services Management Certificate
2016: Ph.D. in Medical Sciences, Ophthalmology
2011 – 2016: Ph.D. Candidate, Gr. T. Popa University of Medicine
2005 – 2011: MD, Gr. T. Popa University of Medicine

Professional Summary

Dr. Nicoleta Anton is a dedicated ophthalmologist and senior lecturer at the “Grigore T. Popa” University of Medicine and Pharmacy in Iași, Romania. With extensive experience in both clinical practice and academic settings, she is committed to advancing the field of ophthalmology through education, research, and patient care.

Work Experience

2021 – Present: Senior Lecturer, Ph.D. in Ophthalmology, Surgery II Department
2017 – Present: Primary Care Physician, Ophthalmology, St. Spiridon Hospital, Iași
2015 – 2021: Assistant Professor, Gr. T. Popa University of Medicine and Pharmacy
2011 – 2017: Ophthalmologist at St. Spiridon University Hospital and various private practices
2011 – 2016: PhD Candidate, Gr. T. Popa University of Medicine and Pharmacy
2012 – Present: Clinical Advisor, NovioSense BV, Nijmegen, Netherlands
2006 – 2010: Resident Physician in Ophthalmology, St. Spiridon University Hospital

Research and Publications

Dr. Anton has authored and co-authored over 10 books and published 16 articles in Web of Science journals, contributing significantly to ophthalmology research. Her work has garnered a Hirsch index of 6 with over 100 citations.

Professional Affiliations

Romanian Society of Ophthalmology (2006-present)
European Society of Retina Specialists (2011-present)
European Society of Ophthalmology (2011-present)

Publication Top Notes

The use of artificial neural networks in studying the progression of glaucoma

Navigating Surgical Challenges: Managing Juvenile Glaucoma in a Patient with Dorfman–Chanarin Syndrome

A Mini-Review on Gene Therapy in Glaucoma and Future Directions

White Light Diffraction Phase Microscopy in Imaging of Breast and Colon Tissues

Initial Clinical Experience with Ahmed Valve in Romania: Five-Year Patient Follow-Up and Outcomes

Odontogenic Orbital Cellulitis at the Crossroads of Surgeries: Multidisciplinary Management and Review

Dr. Seyed Reza Nabavi | Nueral Network Awards | Best Researcher Award

Posted on 25/11/2024 by ScienceFather

Dr. Seyed Reza Nabavi | Nueral Network Awards | Best Researcher Award

Dr. Seyed Reza Nabavi, University of Mazandaran, Iran

Dr. Seyed Reza Nabavi is an Associate Professor of Applied Chemistry in the Department of Applied Chemistry at the University of Mazandaran, Babolsar, Iran. he earned his Ph.D. in Applied Chemistry from the University of Tabriz in 2009, focusing on hybrid modeling and artificial intelligence applications for olefin process optimization. As a visiting scholar at the National University of Singapore in 2008, Dr. Nabavi further honed his expertise in chemical and biomolecular engineering. His teaching repertoire spans diverse topics, including transport phenomena, chemical reactor design, and chemical process modeling at both undergraduate and postgraduate levels. A prolific researcher, his interests lie in polymer nanotechnology, catalytic processes, machine learning in chemical process optimization, and pyrolysis. Notably, he has collaborated on significant projects, such as studying coke formation and inhibitors in naphtha thermal cracking at the bench scale, bridging academia and industry. Married and based in Iran, Dr. Nabavi has received recognition for his academic excellence, including being the top-ranked B.Sc. graduate.

Professional Profile:

ORCID

Suitability for Best Researcher Award: Seyed Reza Nabavi

Based on the provided curriculum vitae, Dr. Seyed Reza Nabavi demonstrates exceptional qualifications that make him a strong candidate for the Best Researcher Award. Below is a summary of his key accomplishments and attributes supporting his suitability for this recognition

🎓 Educational Background

Ph.D. in Applied Chemistry (2009), University of Tabriz 🧬
Thesis: Application of Hybrid Modeling and Artificial Intelligence in Modeling and Optimization of Olefin Processes.
- Visiting Scholar: National University of Singapore (Apr-Dec 2008).
M.Sc. in Applied Chemistry (2003), University of Tabriz 🧵
Thesis: Preparation and Characterization of Conducting Polyaniline/Nylon-6 Composite Fibers.
B.Sc. in Applied Chemistry (2000), University of Sistan and Baluchestan 🏛️
- 🎖️ First Rank among graduate students.

👨‍🏫 Teaching Experience

Expertise in teaching at M.Sc. and B.Sc. levels 📚, including advanced courses:
- Transport Phenomena, Design of Experiments (DOE), Chemical Reactors, Process Control, and Petrochemical Processes.
- Proficient in Modeling and Simulation and Unit Operation Laboratories.

🔬 Research Interests

Nanotechnology of Polymers: Electrospinning and Nanofiber Membranes 🧵.
Catalytic Processes: Ozonation, Photocatalysts, and Reaction Engineering ⚗️.
Modeling and Optimization: Applying Machine Learning and Evolutionary Algorithms 🤖.
Thermal Cracking & Pyrolysis: Exploring Coke Formation and Mitigation 🔥.

🏅 Academic Positions

Associate Professor: 2022 – Present, University of Mazandaran 🏫.
Assistant Professor: 2012 – 2022, University of Mazandaran.

🧪 Research Highlights

Lead researcher in projects like Coke Formation and Inhibitors in thermal cracking of naphtha (collaboration with Tabriz Petrochemical Company) 🛢️.
Published impactful research on polymers, reaction engineering, and optimization using cutting-edge AI techniques.

Publication top Notes:

Multi-Criteria Decision Making in Chemical and Process Engineering: Methods, Progress, and Potential

A liter scale synthesis of hierarchically mesoporous UiO-66 for removal of large antibiotics from wastewater

Data-Based Modeling, Multi-Objective Optimization and Multi-Criteria Decision Making of a Catalytic Ozonation Process for Degradation of a Colored Effluent

A bacterial cellulose-based LiSrVO4:Eu3+ nanosensor platform for smartphone sensing of levodopa and dopamine: point-of-care diagnosis of Parkinson’s disease

Parametric optimization of poly(ether sulfone) electrospun membrane for effective oil/water separation

Deep Learning Aided Multi-Objective Optimization and Multi-Criteria Decision Making in Thermal Cracking Process for Olefines Production

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

Posted on 20/11/2024 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:

GOOGLE SCHOLAR

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

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

Posted on 17/10/2024 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:

Self-selective van der Waals heterostructures for large scale memory array

cited:186

Synaptic computation enabled by joule heating of single-layered semiconductors for sound localization

cited:168

Exploring Ferroelectric Switching in α‐In₂Se₃ for Neuromorphic Computing

cited:164

In-plane ferroelectric tin monosulfide and its application in a ferroelectric analog synaptic device

cited:130

Highly Compact Artificial Memristive Neuron with Low Energy Consumption

cited:102

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

Posted on 27/07/2024 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.