Penn State Great | United States
AUTHOR PROFILE
Scopus
Scholar
Orcid ID
EARLY ACADEMIC PURSUITS
Satish Mahadevan Srinivasan began his academic journey with a Bachelor's degree in Information Technology from Bharathidasan University, Tiruchirappalli, Tamil Nadu, India, in May 2001. He further pursued a Master's degree in Industrial Engineering and Management from the Indian Institute of Technology (IIT), Kharagpur, in February 2005. His educational journey culminated with a Ph.D. in Information Technology from the University of Nebraska at Omaha in May 2010, where he specialized in Statistics, Data Mining, Computer and Information Science. His Ph.D. thesis focused on "Data Aggregation in Multi-Agent Systems in the Presence of Hybrid Faults."
PROFESSIONAL ENDEAVORS
Dr. Srinivasan's professional career commenced as a Junior Project Assistant at IIT Kharagpur, where he later became a Senior Project Assistant. He transitioned into academia and research with a Graduate Assistant role at the University of Nebraska at Omaha from August 2005 to December 2009. After completing his Ph.D., he served as a Postdoctoral Research Assistant at the University of Nebraska at Omaha and subsequently at the University of Nebraska Medical Center. His professional journey progressed at Penn State Great Valley (PSGV), where he started as a Tenure-track Assistant Professor in September 2013 and later became a Tenured Associate Professor in August 2019.
CONTRIBUTIONS AND RESEARCH FOCUS ON BIOINFORMATICS
Dr. Srinivasan has made significant contributions to various fields, including data mining, predictive analytics, machine learning, artificial intelligence, cybersecurity, software engineering, bioinformatics, and distributed computing. His notable research includes:
- Protein Sequence Classification: Developed methods to identify class-specific motifs using n-grams, contributing to the understanding of sequence landscapes.
- Metagenomic Study: Created MetaID, a tool for taxonomic and phylogenetic analysis of microbial communities, achieving near 99% accuracy in microbe identification.
- Program Transformation: Developed Monarch, a tool for migrating Java source code to restricted JVMs used in embedded systems.
IMPACT AND INFLUENCE
Dr. Srinivasan's research has had a profound impact on various scientific domains. His work on protein sequence classification and metagenomic studies has advanced the fields of bioinformatics and genomics. The tools and methodologies he developed have been published in reputable journals like BMC Bioinformatics and BMC Genomics, reflecting their significance and influence.
ACADEMIC CITES
Dr. Srinivasan's scholarly work has been widely cited in academic literature, demonstrating the relevance and applicability of his research. His publications serve as valuable resources for researchers and practitioners in the fields of data mining, bioinformatics, and computational biology.
LEGACY AND FUTURE CONTRIBUTIONS
As a tenured associate professor, Dr. Srinivasan continues to mentor students and conduct cutting-edge research. His future contributions are likely to further the understanding and application of data mining, machine learning, and bioinformatics. His legacy is marked by his dedication to advancing knowledge and solving complex problems through interdisciplinary research.
NOTABLE PUBLICATION: