Dinesh Kalla
Big Data COMPUTER-COMMUNICATION NETWORKS, PROGRAMMING LANGUAGES, DISCRETE MATHEMATICS, PROBABILITY AND STATISTICS, DATABASE MANAGEMENT, INFORMATION SYSTEMS APPLICATIONS, INFORMATION INTERFACES AND PRESENTATION, ARTIFICIAL INTELLIGENCE, COMPUTER GRAPHICS, PATTERN RECOGNITION, COMPUTERS AND EDUCATION, COMPUTERS AND SOCIETY, MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS ARITHMETIC AND LOGIC STRUCTURES, COMPUTER-COMMUNICATION NETWORKS, COMPUTER SYSTEM IMPLEMENTATION, PROGRAMMING TECHNIQUES, SOFTWARE ENGINEERING, PROGRAMMING LANGUAGES, OPERATING SYSTEMS, DATABASE MANAGEMENT, INFORMATION STORAGE AND RETRIEVAL, INFORMATION SYSTEMS APPLICATIONS, ARTIFICIAL INTELLIGENCE, COMPUTER GRAPHICS, IMAGE PROCESSING AND COMPUTER VISION, PATTERN RECOGNITION, ADMINISTRATIVE DATA PROCESSING, COMPUTER-AIDED ENGINEERING, COMPUTERS IN OTHER SYSTEMS, THE COMPUTER INDUSTRY, COMPUTERS AND EDUCATION, COMPUTERS AND SOCIETY, MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS, COMPUTATION BY ABSTRACT DEVICES, ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY, LOGICS AND MEANINGS OF PROGRAMS Artificial Intelligence CyberSecurity Machine Learning Business Intelligence Spam and Phishing Detection Network Security and Intrusion Detection Machine Learning in Healthcare Computer Networks and Communications Information Systems

Bio

Dinesh Kalla is a researcher and engineer specializing in big data, machine learning, and computer networks. He earned a Ph.D. in Computer Science (Big Data) from Colorado Technical University and an M.S. in Electrical Engineering from the University of New Haven. With years of experience as a Support Escalation Engineer at Microsoft, he has contributed to numerous technical projects and publications. His research interests span artificial intelligence, database management, information systems, and cybersecurity. Dinesh has published over 31 works, accumulating 500 citations, with an h-index of 10 and i10-index of 11. He serves as a reviewer for the International Journal of Research in Science and Technology. His recent work includes the detection of phishing websites using natural language processing and machine learning techniques. Dinesh maintains an active academic presence with ORCID, OpenAlex, and Web of Science profiles, and he is connected on LinkedIn.

Educational Journey

University of New Haven

Masters in Electrical Engineering in Department of Electrical Engineering • Department of Electrical Engineering

2014

Colorado Technical University

Ph.D in Computer Science (Big Data) in Department of Computer Science • Department of Computer Science

MindGee Technologies

Microsoft - Big Data Escalation Engineer

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Experience

Microsoft (United States)

Support Escalation Engineer

2019 - 2023 • Big Data

MindGee Technologies

0 - 0

Microsoft (Finland)

0 - 0
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Editors Role

Reviewer

International Journal of Research in Science and Technology

2023 - Present

Reviewer

GJCST

2024 -

Research

No publications found.