Papers

4

Total Citations

45

H-Index

3

About

Akanksha Akanksha is a versatile researcher whose work bridges artificial intelligence, robotics, and environmental sustainability. Her most impactful contribution, "Noise robust automatic speech recognition: review and analysis" (2023, 29 citations), provides a comprehensive synthesis of techniques for improving speech recognition in challenging acoustic environments—a critical challenge for real-world voice interfaces. Demonstrating a commitment to applied robotics, she developed a "Smart Robot for Collection and Segregation of Garbage" (2021, 11 citations), an autonomous system that identifies litter and classifies it into biodegradable and non-biodegradable waste, directly addressing urban sanitation challenges. Her research further extends to aquatic environments with "Aquatic Robotics: Unmanned Vehicles in Fisheries and Habitat Monitoring" (2025, 3 citations), exploring autonomous systems for ecological monitoring. Additionally, her work on "Deep Learning-Based Automatic Face Expression Recognition Framework" (2023, 2 citations) tackles the complex task of decoding nonverbal human communication, noting that facial expressions convey over 55% of interpersonal messages. Across these diverse domains—from speech processing to waste management and aquatic monitoring—Akanksha demonstrates a consistent focus on deploying intelligent systems to solve practical, real-world problems, making her research both technically rigorous and socially relevant.

Research Focus

Key Achievements

3
H-Index
4
Papers
45
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Noise robust automatic speech recognition: review and analysis
29 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: National Institute of Technology Kurukshetra, Delhi Technological University, Chandigarh University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago