Papers

3

Total Citations

59

H-Index

2

About

Ram D. Sriram is a versatile researcher whose work spans the intersections of artificial intelligence, human-computer interaction, and intelligent systems design. With contributions ranging from emotionally aware machine learning to collaborative product development and explainable robotics, Sriram has built a research portfolio that bridges theoretical innovation with real-world applicability. His most influential contribution to date is his 2022 work on multimodal emotion recognition, which leverages transfer learning from speaker recognition and BERT-based language models to equip AI systems with emotional intelligence. Garnering 52 citations in just a few years, this research addresses high-stakes applications in call center analytics, gaming, and personal assistant technologies — domains where understanding human affect is increasingly critical. Sriram's earlier work on platform-based strategies for collaborative product development reflects a longstanding interest in how intelligent systems can support complex, distributed engineering workflows in global markets. His more recent 2024 paper on explainable and interpretable reinforcement learning for robotics signals a forward-looking commitment to making autonomous systems transparent and trustworthy. Together, these contributions position Sriram as a researcher deeply invested in making AI systems not only more capable, but more human-centered and accountable.

Research Focus

Key Achievements

2
H-Index
3
Papers
59
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Multimodal Emotion Recognition Using Transfer Learning from Speaker Recognition and BERT-Based Models
52 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Information Technology Laboratory, National Institute of Standards and Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago