Pramod Gupta

Dr. Pramod Gupta is an Adjunct Faculty and Part-Time Lecturer in the College of Engineering at Northeastern University, where he contributes to the Information Systems and Data Analytics program. He holds a PhD in Electrical and Computer Engineering from McMaster University, with a specialization in Neuro-Control of Robotic Manipulators, and brings over 20 years of experience from academic and industrial research environments, including work with NASA, GE, VISA, the University of California, and various startups.

• Institution: Northeastern University
• School: College of Engineering
• Department: Information Systems and Data Analytics
• Academic Rank: Adjunct Faculty
• Employment Type: Part-Time

Dr. Gupta's educational background includes a PhD from McMaster University (1998) in Electrical and Computer Engineering.

His research and teaching interests span a broad and impactful range of data-centric disciplines, including Machine Learning, Artificial Intelligence, Neural Networks, Data Analytics, Data Mining, Information Visualization, Data Modeling, Cloud Computing, Information Systems, and Robotics. These areas reflect both theoretical depth and practical application in modern data science and engineering.

While no peer-reviewed journal articles are listed in the provided text, Dr. Gupta has authored over 40 publications and a notable book, Introduction to Machine Learning in Cloud with Python, published by Springer. His work emphasizes applied machine learning and data science in cloud environments.

There are no scientific awards mentioned in the available information.

Dr. Gupta advises and mentors students through his teaching roles, particularly in data science and information systems courses such as ISDA 111 – Information and Data Science and ISDA 141 – Information Visualization. He has also served as an independent consultant and data scientist, contributing to industry innovation and professional development. Although specific grants are not listed, his industry and research collaborations suggest active engagement in applied projects.

Dr. Gupta is involved in academic and professional teams through his teaching and consulting roles. His work bridges academia and industry, particularly in the data science domain, where he applies research insights to real-world challenges.