Editorial Team

  • Dr. Maria Rodriguez, Universidad Nacional de Colombia, Colombia, researcher in the field of machine learning and computer vision, with a focus on developing algorithms for image and video analysis. maria.rodriguez@un-colombia.edu.co
  • Dr. Luis Gonzalez, Universidad de Guadalajara, Mexico; research interests include deep learning, natural language processing, and data science, and he has published extensively in top-tier conferences and journals in these areas.
  • Harish Varma Siravuri, Doctoral researcher in the field of machine learning, Senior Data Scientist at Shipt; research interests include understanding the dynamics between scientific research and its societal impact, creating and refining algorithms, techniques, and methodologies within the machine learning and data science domains. 
  • Dr. Ana Silva, Universidade Federal de Minas Gerais, Brazil; in the development and application of machine learning models for healthcare, with a particular focus on improving patient outcomes through personalized medicine.
  • Rohit R Dixit, Senior Data Scientist Siemens Healthineers, University of Texas at Tyler; Research focuses on healthcare analytics 
  • Dr. Jorge Garcia, Universidad Nacional Autónoma de Honduras, Honduras; research focuses on the development of novel machine learning algorithms for real-world applications, including in areas such as finance and transportation. jorge.garcia@unah.edu.hn
  • Venkata Dinesh Reddy Kalli, Researcher in Computer Science, Southern Arkansas University; Medtronic Inc, Tempe AZ; IEEE Senior Member; research focuses on Artificial Intelligence, Data Mining, Machine Learning in healthcare and other domains. Among his significant scholarly achievements is the publication of his influential book "Revolutionizing Healthcare – Generative AI Architecture and Cases".
  • Samata Gadde, Department of Biotechnology, Acharya Nagarjuna University, INDIA; research interests primarily revolve around biomedical and bioengineering fields, with a focus on oral health and cancer-related research.
  • Puneet Singh, Lead Product Manager, AT&T Services, Inc., Dallas, Texas, USA.  Specialization: Generative AI, AI-Powered Troubleshooting, Inclusion and Accessibility through AI.
  • Elena Perez, Universidad Nacional de La Plata, Argentina; Doctoral researcher in the field of computational linguistics, with a focus on natural language processing and machine translation.
  • Naveen Vemuri, Silicon Valley University - Masters in Computer Science, IT Project Manager/Lead DevOps Cloud Engineer-AI/ML at Devoir Software Solutions; Research focuses on integration of AI with cloud computing and DevOps
  • Dr. Vikramjit S. Rathee, Chief Scientific Officer, Nine Star Initiative, USA; Research focuses on Computational Molecular Sciences and Machine Learning 
  • Fayazoddin Mulla Syed, IAM Asscoaite Director at Novartis  Pharmaceutical; Research focuses on AI-driven cybersecurity, compliance frameworks, threat intelligence, and healthcare security
  • Dr. Chinmay Kulkarni - Staff Software Engineer - ConductorOne; Research focuses on Distributed Systems and Databases, Operating Systems and Replication, and Scalable Storage Architectures
  • Karthick Prasad Gunasekaran, University of Massachusetts, Amherst; Applied Scientist, Amazon Web Services Inc; Research focuses on natural language processing, causal inference, deep learning, and computer vision.
  • Joan A. Telo, Researcher and Senior IT Security Specialist at CEASGLOBAL LIFE LLC; research focuses on applications of machine learning in IT security. 
  • Shivansh Khanna, Tennant Company,  University of Illinois at Urbana Champaign; research primarily focuses on addressing privacy, ethical, and governance issues in artificial intelligence applications within healthcare and the development of AI for cleaning robots, within the fields of computer vision, natural language processing, and medical systems.
  • Linus A Xavier, Product Head at Subex; research focuses on aaplying of machine learning techniques in cybersecurity. 
  • Arshey Patadia, Arizona State University/Carnegie Mellon University; Researcher in Optics and Photonics; Specializes in novel memory technologies like Resistive RAMs, with a background in nanotechnology, nano-fabrication, and characterization of these devices.
  • Kannan Nova, Grand Canyon University, Arizona, USA, data scientist at Microsoft, and senior member and review panel board member of the IEEE; research focuses on healthcare, logistics (supply chain management), financial, and cyber security.