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

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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
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Prof Dr. Ersin Elbasi | Machine learning Award | Excellence in Research

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Prof Dr. Ersin Elbasi | Machine learning Award | Excellence in Research

Prof Dr. Ersin Elbasi, American University of the Middle East, Kuwait 

Ersin Elbasi, Ph.D., is a distinguished professor specializing in Computer Science and Engineering, currently serving at the American University of the Middle East in Kuwait. He earned his Ph.D. in Computer Science from the Graduate Center, CUNY, with a dissertation on robust video watermarking schemes, following a Master of Philosophy in the same field from the same institution. He holds a Master of Science in Electrical Engineering and Computer Science from Syracuse University and a Bachelor of Science in Industrial Engineering from Sakarya University, Turkey. Dr. Elbasi’s extensive academic career includes previous positions as Associate Professor at the American University of the Middle East and faculty roles at the Higher Colleges of Technology in the UAE and Çankaya University in Turkey. His research focuses on machine learning, multimedia security, and data mining, with notable projects in digital image and video watermarking and event mining in video sequences. He has also held significant roles in research and development at TÜBİTAK, contributed to SQL application development in New York City, and engaged in various international research activities. Dr. Elbasi’s technical expertise spans Visual C++, SQL programming, and Java, with a notable scholarship record and recognition for his contributions to the field.

Professional Profile:

Summary of Suitability for Excellence in Research 

Dr. Ersin Elbasi holds a Ph.D. in Computer Science from the Graduate Center, CUNY, with a specialization in robust video watermarking schemes in transform domains. His advanced degrees in computer science, electrical engineering, and industrial engineering demonstrate a strong interdisciplinary foundation.

Education

  • Ph.D. in Computer Science
    Graduate Center, CUNY, New York City, NY
    Graduated: April 2007
    Dissertation: “Robust Video Watermarking Scheme in Transform Domains”
  • Master of Philosophy in Computer Science
    Graduate Center, CUNY, New York City, NY
    Graduated: May 2006
  • Master of Science in Electrical Engineering & Computer Science
    Syracuse University, Syracuse, NY
    Graduated: May 2001
  • Bachelor of Science in Industrial Engineering
    Sakarya University, Sakarya, Turkey
    Graduated: June 1997

Work Experience

  • Professor
    American University of the Middle East (QS ranking 500-600), Kuwait
    June 2022 – Current
  • Associate Professor
    American University of the Middle East (QS ranking 500-600), Kuwait
    October 2016 – June 2022

    • Taught courses including CNIT 180, CNIT 280, CNIT 380, CNIT 315, CS 159, CNIT 480, CNIT 372, CNIT 399/499, TECH 330, and TECH 320.
  • Faculty Member
    Computer and Information Science, Higher Colleges of Technology, Al Ain, Abu Dhabi, UAE
    August 2015 – July 2016

    • Taught courses including Introduction to Multimedia, Research Methods in Emerging Technologies, Statistics and Probability, and Information Systems in Organizations and Society.
  • Instructor/Associate Professor
    Çankaya University (400-500 by Times ranking), Department of Computer Engineering, Ankara
    September 2007 – June 2015

    • Taught courses including Data Mining, Multimedia Security, Object-Oriented Languages, Database Management, Multimedia and Internet, Data Management and File Structures, and Formal Languages and Automata.
  • Expert/Chief Expert of Scientific Programs
    TÜBİTAK, Ankara, Turkey
    August 2007 – July 2014

    • Served as Executive Secretary to the Electrical, Electronics, and Informatics Research Grant Committee, National Scientific Expert in COST Information and Communication Domain, and National Delegate in COST (FP 7) Trans Domain Proposals.
  • SQL Application Developer
    Bureau of Revenue Enhancement and Automation, Finance Office, New York City Government
    November 2004 – July 2007

    • Developed SQL applications, performed ad-hoc queries, and managed staff training in SQL and related software tools.
  • Instructor
    The City University of New York (CUNY)
    September 2004 – May 2007

    • Taught courses at Brooklyn College, Borough Manhattan Community College, and Lehman College, including Operations Management, Introduction to Computer Applications, Database Management, Discrete Structures, and GMAT Math.
  • Research Assistant
    Electrical Engineering and Computer Science, Syracuse University
    January 2003 – May 2004

    • Worked on Automated Scenario Recognition in Video Sequences and implemented data mining and machine learning techniques.
  • Engineer
    Calik Textile, Istanbul, Turkey
    January 1999 – August 1999

    • Focused on Production Planning.
  • Engineer
    HES Machine, Kayseri, Turkey
    June 1997 – March 1998

    • Focused on Production Planning and Quality Control.

Publication top Notes:

Transformer Based Hierarchical Model for Non-Small Cell Lung Cancer Detection and Classification

Anticipate Movie Theme from Subtitle: A Deep Learning Approach

Robust and Secure Watermarking Algorithm Based on High Frequencies of Integer Wavelet Transform

Fortifying Integrity and Privacy in Medical Imaging: Discrete Shearlet and Radon Transform-Based Watermarking Approach

Machine Learning-Based Analysis and Prediction of Liver Cirrhosis