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
Top Papers
- 1Noise robust automatic speech recognition: review and analysis29 citations · 2023
- 2Smart Robot for Collection and Segregation of Garbage11 citations · 2021
- 3Aquatic Robotics: Unmanned Vehicles in Fisheries and Habitat Monitoring3 citations · 2025
- 4Deep Learning-Based Automatic Face Expression Recognition Framework2 citations · 2023