An enthusiastic electrical engineer with 3+ years of experience in operating and maintaining HT and LT substations, motors, and DG sets. Research experience of 5+ years in optimization algorithms and AI/ML techniques with Python programming in home energy management systems.
To attain a challenging career in your prestigious organization and employ my skills and abilities for the organization's progress. Dedicated assistant professor with 4+ years of experience in the university and TEQIP-funded college.
Worked as principal investigator on Collaborative Research Scheme by TEQIP-III, "Building Energy Management Using Machine Learning Techniques"
Sponsored by TEQIP-III, 2019Worked as co-principal investigator on Collaborative Research Scheme by TEQIP-III, "A Battery Swapping Approach for Planning of Electric Bus Charging Infrastructure"
Sponsored by TEQIP-III, 201992%
MATLAB
85%
Optimization techniques
80%
AI/ML
95%
Mathematical modelling
95%
IOT Development
90%
Energy Management
Uncertainty Aware Learning Model for Thermal Comfort in Smart Residential Buildings, in IEEE Transactions of Industry Applications. [Published, SCIE, IF: 4.079].
Optimal Energy Management System for Residential Buildings Considering the Time of Use Price With Swarm Intelligence Algorithms in Journal of Building Engineering, 2022 [IF: 7.144].
Modelling and management of flexible residential building components using system based heuristic approaches in IET Smart Grid, 2024 [IF: 2.4].
"Dr. Srinivas's guidance transformed my career. His mentorship is truly unparalleled."
- Sri Harsha
"Collaborating with him on research was a game-changer. His insights are extraordinary."
- Dr. Mahipal Bukya
"His expertise in AI has been instrumental in my learning journey."
- KarthiK T
"Under Dr. Srinivas’s mentorship, I gained the confidence and knowledge to achieve my professional goals. His expertise is truly remarkable."
- Santhosh Swaroop G
Exploring applications of AI in Energy Management.
Innovating tools to enhance learning and teaching experiences.
Innovating tools to enhance learning and teaching experiences.
Innovating tools to enhance learning and teaching experiences.
Session Chair in INCIP, 2025 - MIT Bangalore
OCDTIC, 2019 - NIT Jalandhar & GWECA Ajmeer
FDP, 2018 IIT Bombay & 2019 IIT Guwahati
IEEE Conference Paper, "Home Energy Management System using AI", 2020
Have any questions or want to work together? Feel free to reach out.
You can reach out through the contact form or email at hello@srinivas.com.
Dr. Srinivas specializes in Artificial Intelligence, Deep Learning, and Educational Technology.
Yes, Dr. Srinivas is passionate about mentoring students and researchers.