Satish Mahadevan Srinivasan | Machine Learning | Best Researcher Award
Dr. Satish Mahadevan Srinivasan, Penn State Great Valley , United States.
Dr. Satish Mahadevan Srinivasan is a Tenured Associate Professor of Information Science at Penn State Great Valley, with expertise spanning data mining, machine learning, cybersecurity, and bioinformatics. With a Ph.D. in Information Technology from the University of Nebraska, his research contributions include class-specific motif discovery in protein classification and tools for metagenomic analysis. Dr. Srinivasan’s work merges cutting-edge technologies with practical applications, contributing to bioinformatics, distributed computing, and artificial intelligence. He has a rich academic and professional journey, publishing impactful research and developing transformative software tools.
Publication Profiles
Googlescholar
Education and Experience
Education
Ph.D. in Information Technology, University of Nebraska, 2010
M.S. in Industrial Engineering & Management, IIT Kharagpur, 2005
B.E. in Information Technology, Bharathidasan University, 2001
Experience
Tenured Associate Professor, Penn State Great Valley (2019–Present)
Assistant Professor, Penn State Great Valley (2013–2019)
Postdoctoral Researcher, Computational Bioinformatics, UNMC (2011–2013)
Postdoctoral Research Assistant, Computer Science, University of Nebraska (2010–2011)
Project Assistant, IIT Kharagpur (2001–2005)
Suitability For The Award
Professional Development
Dr. Srinivasan has developed innovative tools and frameworks, including MetaID for metagenomic studies and Monarch for transforming Java programs for embedded systems. His interdisciplinary research bridges machine learning, predictive analytics, and cybersecurity with bioinformatics, aiding microbial classification and software optimization. By integrating artificial intelligence and distributed computing, he has addressed complex challenges in data science, genomics, and engineering. His professional journey reflects a commitment to cutting-edge technology, impactful research, and knowledge dissemination through teaching and mentorship.