Editorial Team

International Machine Learning Journal and Computer Engineering (IMLJCE)

Editor-in-Chief's:

Dr.  Anupriya Jain

  • Affiliation: Manav Rachna University
  • Expertise:  AI, ML, IoT
  • Bio: Dr. Anupriya Jain is a highly experienced Professor in the School of Computer Applications at Manav Rachna International Institute of Research and Studies, located in Faridabad.

Dr. Nikhitha Yathiraju

  • Affiliation: University of  the Cumberland
  • Expertise:  AI, ML, Human-Computer Interaction, Creative Technology
  • Bio: Dr. Yathiraju is a distinguished researcher known for her work at the intersection of technology and creativity. Her leadership ensures the journal's commitment to innovation and design excellence.

Dr. Olivia Mitchell

  • Affiliation: Department of Computer Engineering, Stanford University
  • Expertise: Machine Learning, Computer Architecture
  • Bio: Dr. Mitchell is a distinguished researcher with a strong commitment to advancing the fields of machine learning and computer engineering. Her leadership ensures the journal's dedication to excellence and innovation.

Associate Editors:

  1. Dr. Daniel Rodriguez

    • Affiliation: Department of Artificial Intelligence, Massachusetts Institute of Technology
    • Expertise: Machine Learning Hardware, Design Automation
    • Bio: Dr. Rodriguez brings extensive expertise in ML-driven hardware and design automation, enriching the journal's coverage of these crucial areas.

  2. Dr. Emily Chen

    • Affiliation: School of Computer Vision, University of California, Berkeley
    • Expertise: Computer Vision, Image Processing
    • Bio: Dr. Chen's background in computer vision and image processing adds valuable insights to the editorial team.

  3. Dr. Ethan Williams

    • Affiliation: Computer Engineering Research Group, Harvard University
    • Expertise: Data-Intensive Computing, Big Data Analytics
    • Bio: Dr. Williams specializes in data-intensive computing and big data analytics, providing a unique perspective on the convergence of ML and computer engineering.

Managing Editor: Dr. Sophia Patel

  • Affiliation: School of Information Sciences, Columbia University
  • Expertise: Editorial Management, Ethical Technology
  • Bio: Dr. Patel combines her editorial management skills with a deep understanding of ethical technology to oversee the publication process, ensuring quality and ethical standards.

Editorial Board: IMLJCE benefits from the insights of a distinguished panel of experts across various ML and computer engineering domains, including:

  • Dr. Matthew Turner (University of Oxford) - Ethical AI and AI Ethics
  • Dr. Maria Lopez (Google Research) - ML-driven Optimization in Computer Engineering
  • Dr. Benjamin Gupta (MIT Media Lab) - Computer Vision and Image Analysis
  • Dr. Samuel Lee (Johns Hopkins School of Medicine) - Medical Imaging and ML Applications
  • Kannamangalam Chakaravarthi “KC” Lakshminarasimham, Independent Researcher, USA
  • Balaji Dhamodharan, AI researcher and Seasoned AI leader, USA
  • Dr. Noah Ali (ETH Zurich) - Responsible Technology in Computer Engineering
  • Zebah Singh Alfred Gandhiraj , Data and Generative AI  Expert , USA

Advisory Board: Our advisory board comprises prominent thought leaders who provide strategic guidance to the journal:

  • Dr. Rachel Smith (California Institute of Technology) - AI Ethics and Responsible Technology
  • Dr. Jessica Taylor (Yale University) - Policy and Regulation in Computer Engineering
  • Dr. Michael Johnson (Stanford Graduate School of Business) - Industry and Technological Advancement

The Editorial Team at the International Machine Learning Journal and Computer Engineering (IMLJCE) is dedicated to promoting excellence, innovation, and ethical practices at the intersection of ML and computer engineering. We are committed to advancing knowledge and fostering responsible technological development. Join us on this exciting journey of exploration, collaboration, and discovery as we shape the future of intelligent computing and computer engineering for the benefit of society and technology.