Editor-in-Chief:

Dr. Samantha Chen

  • Affiliation: Department of Computer Science, University of Cambridge
  • Research Interests: Machine learning algorithms, deep learning, natural language processing

Aditi Madhusudan Jain

  • Affiliation: Software Development Engineer at Amazon, Master of Science (Computer Science) University of Southern California, Los Angeles, CA
  • Research Interests: Cloud architectures, Artificial Intelligence, Machine Learning, Generative AI, LLLMs.

Associate Editors:

  1. Dr. Michael Rodriguez

    • Affiliation: Institute for Data Science, Stanford University
    • Research Interests: Big data analytics, data mining, statistical modeling
  2. Jyoti Shah

    • Affiliation: Director of Application Development, leading the design, development, and delivery of enterprise-grade platforms that empower sales teams with AI-driven insights and tools at ADP 113 Janelle Blvd Parsippany, NJ 07054, USA
    • Research Interests: AI, Big Data, Data Analytics, Data Transformation, ReactJS, Java, Kafka, Distributed Processing.
  3. Milankumar Rana

    • Affiliation: Software Engineer Advisor/Sr Cloud Architect Dallas USA
    • Research Interests: AWS, Azure, VMWare, Linux, Fedora, Centos, Ubuntu, Windows, JAVA, SQL Query, Groovy, Nodejs, R, Python, Shell Scripting, HTML, JSON, XML, Servlet, PowerShell, Terraform, Oracle, MySQL, Redis, PostgreSQL, SQL Server, Data Factory, Data Lake, Databricks, Azure SQL Datawarehouse, Azure Synapse Analytics, Eclipse and Net beans IDE, Git, Putty, MS Office, SVN, Virtual Box, VMware, JUnit, VMWare, VCenter, ULS Viewer, Visual Studio Code, SOAP, Rest, Django, SharePoint, K, Firewall, Site to Site, Point to site, EXPRESSROUTE, Virtual network, Load Balancer, NAT, Docker and Kubernetes, and Azure Devops.
  4. Monika Malik

    • Affiliation: Lead Data/AI Engineer at AT&T, USA
    • Research Interests: Generative AI, ML, Software Engineering and cloud computing 
  5. Prof. Elena Petrov

    • Affiliation: Department of Computer Engineering, MIT
    • Research Interests: Reinforcement learning, computer vision, autonomous systems
  6. Dr. Lisa Wang

    • Affiliation: School of Information Technology, Harvard University
    • Research Interests: Recommender systems, data privacy, ethical AI
  7. Kishore Ranjan

    • Affiliation: , Member ACM SIGBED , SEMI ;  Embedded System Software Group Lead, Connecticut, USA
    • Research Interests: Embedded Systems Software, Semiconductor, CI/CD, Simulation ,Test Automation & Software Quality Assurance using Generative AI.

Editorial Board Members:

  1. Prof. Andrei Ivanov

    • Affiliation: Machine Learning Research Group, University of Toronto
    • Research Interests: Pattern recognition, neural networks, healthcare informatics
  2. Dr. Sarah Malik

    • Affiliation: Data Science Institute, University of California, Berkeley
    • Research Interests: Time series analysis, anomaly detection, computational neuroscience
  3. Prof. Carlos Fernandez

    • Affiliation: Department of Computer Science, ETH Zurich
    • Research Interests: Federated learning, data ethics, data-driven decision-making
  4. Dr. Emily Johnson

    • Affiliation: Center for Artificial Intelligence, Oxford University
    • Research Interests: Explainable AI, interpretable machine learning, fairness in algorithms
  5. Prof. Jia Li

    • Affiliation: Department of Computer and Information Science, Cornell University
    • Research Interests: Graph-based learning, semi-supervised learning, social network analysis
  6. Dr. Rajesh Sharma

    • Affiliation: School of Computer Science, Indian Institute of Technology, Delhi
    • Research Interests: Natural language processing for low-resource languages, machine translation
  7. Prof. Maria Lopez

    • Affiliation: Institute for Machine Learning and Robotics, University of Barcelona
    • Research Interests: Reinforcement learning for robotics, human-robot interaction
  8. Dr. Keiko Yamamoto

    • Affiliation: Data Science and Artificial Intelligence Lab, University of Tokyo
    • Research Interests: Explainable AI, causal inference, predictive modeling
  9. Prof. John Smith

    • Affiliation: School of Computer Science and Engineering, University of New South Wales
    • Research Interests: Bioinformatics, computational biology, genomics data analysis
  10. Deepak Chanda
    • Affiliation: SR Data Analyst Serco, INC , VA,USA
    • Research Interests: Artificial Intelligence, Machine Learning, Information Technology.
  11. Nishitha Nalla  
    • Affiliation: WORKDAY INC, GA, USA
    • Research Interests: Software Application Engineer.

12. Dip Patel

  • Affiliation: Vira design LLC , VA ,USA
  • Research Interests: 

    Business Intelligence & Data-Driven Decision-Making,Customer Behavior Analysis & Consumer Insight Modeling, Sales Performance Optimization & Forecasting, Dashboard Design & Data Visualization for Small Enterprises, Data Analytics for Small Business Strategy, Predictive Analytics & Trend Identification, Applied Data Science in Entrepreneurship, Data Transformation for Operational Efficiency, Marketing Analytics & Customer Retention Modeling,Real-Time Reporting Solutions for Business Growth.

13. Milankumar Rana

  • Affiliation:  Advisor/Sr Cloud Architect Dallas USA
  • Research Interests: Software Engineer.

14. Ravi Teja Prabhala Venkata

  • Affiliation: Senior Manager, Software Engineering ,Capital One, USA
  • Research Interests: Software Engineer.

15. Jaya krishna Modadugu

  • Affiliation: Software Engineer , USA
  • Research Interests: Systems Analysis, Design, Development and Implementation of Web and Client/Server and Enterprise Application development using Java and J2EE technology stack

16. Rushabh Mehta

  • Affiliation: Financial Analyst Hammerton Inc.Salt Lake City, Utah, USA
  • Research Interests: Financial Data Analytics and Forecasting, Machine Learning Applications in Finance and Risk Management, Predictive Modeling for Business and Supply Chain Optimization, Automation in Preventive Maintenance and Operations Research, Deep Learning for Natural Language Processing and Document Classification

This diverse and highly qualified editorial board ensures that the "International Journal of Data Science and Machine Learning" maintains rigorous standards, encourages innovation, and provides valuable insights into the dynamic field of data science and machine learning.