Dr. Padmaja Savaram
Prince Sattam Bin Abdulaziz University, Keshav Memorial Institute of Technology, Aurora's College of PG Studies
Research areas: Computer Science · Artificial Intelligence · Topic Modeling · Natural Language Processing Techniques · Sentiment Analysis and Opinion Mining
About
I am an Assistant Professor in the Department of Computer Science at the College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia, a position I have held since September 2024. Prior to this, I served as an Associate Professor in the Department of Computer Science and Engineering (CSE) at Keshav Memorial Institute of Technology from 2017. As the department head from 2019 to 2023, I led a team of 73 faculty members and 1680 students, achieving program accreditation for three consecutive years (2021-2024). With over 22 years of teaching and research experience, I offered courses at both undergraduate and master's levels while guiding projects in these domains. My research expertise lies in Sentiment Analysis, leading to patents, books, research articles, and a monograph on embedded systems. I am an editorial board member of Data Science and Big Data Analytics and actively review international papers. Delivering invited lectures, conducting workshops, and presenting at prestigious institutions like Defense Labs and Educational Institutions are part of my academic pursuits. Additionally, I served as chairperson and member of the board of studies at various prestigious universities and institutes. This journey has been enriching, and I am eager to foster a culture of learning and innovation for the future generation of computer scientists.
Employment
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Prince Sattam Bin Abdulaziz University Assistant Professor2024 - Present
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Keshav Memorial Institute of Technology Associate Professor2016 - 2024
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Aurora's College of PG Studies Lecturer2006 - 2008
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Christu Jyoti Institute of Technology and Science Assistant Professor2000 - 2004
Education
Education history is unavailable.
Projects & Funding
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Machine Learning‑Based Optimization of Sustainable Biomass‑to‑Biofuel Conversion Processes with Real‑Time Adaptability, LCA‑Based Sustainability Assessment, and Scalable Industrial Application Deanship of Scientific Research, Prince Sattam bin Abdulaziz University
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Reinforcement Learning‑Based Optimization of Real‑Time Demand‑Driven Battery Management for Enhanced Solar PV Grid Stability and Efficiency in Distributed Generation Systems Deanship of Scientific Research, Prince Sattam bin Abdulaziz University
Publications (36)
- Existence, Controllability and Neural Network Modeling for Impulsive Fractional Volterra–Fredholm Integro-Differential Equations Save
- Fundamentals of Artificial Intelligence in Heat Transfer Optimization Save
- An enhanced control strategy using ANFIS-FOPID for grid-tied DFIG based WECS with battery storage for better Sustainable Urban Environments Save
- Sustainable AI Techniques for Real-Time Risk Monitoring Save
- Strengthening India's Healthcare System: Combating Fraud with Technology and Policy Reforms Save
- Comparative Analysis of Deep Learning Algorithms for Handwritten Digit Recognition Save
- Multilingual Approaches to Named Entity Recognition Save
- Insights Into AI Systems for Recognizing Human Emotions, Actions, and Gestures Save
- Alzheimer Prediction Using Machine Learning Save
- Semantic Role Labeling for Code-Switched data Save
- Deep Learning-Based Agriculture Robot for Crop Weed Discrimination, Automatic Seeds and Pesticides Spray, Harvesting and Crop Health Monitoring Save
- INTRODUCTION TO DEEP LEARNING Save
- Machine Learning For Absolute Beginners Save
- A System for Monitoring Agricultural Waste by Image Processing System Based on IOT Save
- A Survey on Prediction of Risk Related to Theft Activities in Municipal Areas using Deep Learning Save
- Cardiovascular risk detection using Harris Hawks optimization with ensemble learning model on PPG signals Save
- Impact of Fireworks Industry Safety Measures and Prevention Management System on Human Error Mitigation Using a Machine Learning Approach Save
- DEEP LEARNING BASED DETECTION OF ABNORMALITY SCENARIOS FOR COMPUTER VISION BASED HAR SYSTEMS Save
- Artificial Intelligence Based Smart Baggage Disinfecting System in Public Transportation Save
- Feature Impact on Sentiment Extraction of TEnglish Code-Mixed Movie Tweets Save