Mr. Trilochan Rout | Bioinformatics | Best Researcher Award
International Institute of Information Technology(IIIT), India
Author Profile
🎓 Early Academic Pursuits
Trilochan Rout’s journey into the world of academia and engineering began with a solid foundation in his early education. Completing his high school from Sarala High School, Bhitar Andhari, Odisha, in 1998 with a commendable First Division (67.20%), he showcased an aptitude for science and technology. This interest carried forward to his +2 Science studies at A.S.D College Tirtol, Odisha, where he passed with Second Division (50.00%) in 2000.
Fuelled by a passion for engineering, Trilochan pursued a B.Tech. in Computer Science & Engineering from GHITM Puri, Odisha, earning a First Division (65.14%) in 2005. His drive for deeper learning led him to pursue an M.Tech. in Computer Science at Berhampur University, Odisha, achieving an impressive First Division (75%) in 2009. To cement his academic pursuits, Trilochan embarked on a Ph.D. in Computer Science & Engineering at IIIT Bhubaneswar in November 2020. His research focused on the identification of essential cancer proteins in PPI networks using efficient graph-based algorithms. With his Ph.D. thesis submitted in October 2024, he stands at the threshold of contributing groundbreaking advancements in computational biology.
👨🏫 Professional Endeavors
Trilochan’s professional career spans over 15 years, showcasing dedication and impactful teaching. He began as a Senior Lecturer in the Department of Computer Science and Engineering at Roland Institute of Technology, Berhampur, Odisha, from 2007 to January 2010. Here, he honed his pedagogical skills and laid the groundwork for his academic excellence.
In February 2010, Trilochan transitioned to NM Institute of Engineering & Technology, Bhubaneswar, as an Assistant Professor in Computer Science and Engineering. During his decade-long tenure, he contributed significantly to student success and departmental growth.
Since July 2024, Trilochan has been associated with the Centurion University of Technology and Management (CUTM), Bhubaneswar, as an Assistant Professor. His role extends beyond teaching, involving mentorship, research guidance, and academic program development.
🔍 Contributions and Research Focus
Trilochan’s primary research lies in the application of graph-based algorithms for solving real-world problems. His Ph.D. work, centered on identifying essential cancer proteins in protein-protein interaction (PPI) networks, highlights his innovative approach to computational biology. His research has significant implications for cancer treatment, aiding in the discovery of target proteins for drug development.
His interest extends to areas like:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Graph Theory Applications
- Bioinformatics
Through publications and presentations, Trilochan continues to disseminate his knowledge, inspiring both peers and students.
🏆 Accolades and Recognition
Trilochan has been recognized for his academic rigor and professional excellence throughout his career. Noteworthy highlights include:
- Successfully mentoring students who have excelled in both academia and industry.
- Leading workshops and seminars, fostering innovation in computer science education.
- Contributing to curriculum design at his institutions, aligning them with modern technological trends.
🌟 Impact and Influence
As a teacher, Trilochan is revered for his student-centric approach. His ability to simplify complex concepts and instill a passion for learning has positively influenced hundreds of budding engineers. By integrating cutting-edge research into classroom teaching, he bridges the gap between theory and practice.
His impact extends to institutional growth, where he has played a pivotal role in enhancing academic standards, collaborating with peers to introduce innovative teaching methodologies.
🌍 Legacy and Future Contributions
Trilochan envisions a future where education and research intersect to solve pressing global challenges. His contributions to bioinformatics are set to pave the way for advancements in healthcare. As a mentor, he aims to nurture the next generation of researchers who will push the boundaries of computer science.
In the coming years, Trilochan plans to:
- Expand his research into AI-driven healthcare solutions.
- Author academic texts and research papers to share his expertise.
- Develop interdisciplinary programs to equip students for a rapidly evolving tech landscape.
Notable Publications
- Title: Centrality-Based Approach for Identifying Essential Cancer Proteins in PPI Networks
Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
Journal: SN Computer Science
Year: 2025. - Title: Essential Proteins in Cancer Networks: A Graph-Based Perspective Using Dijkstra’s Algorithm
Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
Journal: Network Modeling Analysis in Health Informatics and Bioinformatics
Year: 2024. - Title: A Systematic Review of Graph-Based Explorations of PPI Networks: Methods, Resources, and Best Practices
Authors: Rout, T., Mohapatra, A., Kar, M.
Journal: Network Modeling Analysis in Health Informatics and Bioinformatics
Year: 2024. - Title: Essential Protein Identification in Cancer: A Graph-Based Approach Integrating Topological and Biological Features in PPI Networks
Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
Journal: SN Computer Science
Year: 2024. - Title: Essential Cancer Protein Identification Using Graph-Based Random Walk with Restart
Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
Journal: Computer Methods in Biomechanics and Biomedical Engineering
Year: 2024.