AS
Ankit Singh
Indian Institute of Technology Hyderabad, Vishwaniketan's Institute of Management Entrepreneurship and Engineering Technology (ViMEET), B.M.S. College of Engineering, KLE Institute of Technology
About
- A Research scholar at Indian Institute of Technology Hyderabad.
- Research interests :
a) Effectiveness and acceptance of Advanced driver assistance systems (ADAS) under Indian mixed traffic conditions.
b) Impact of secondary tasks on driver behavior.
c) Autonomous vehicles (AV) inclusion under Indian mixed traffic conditions.
Employment
-
Indian Institute of Technology Hyderabad Research Scholar2022 - Present
-
Vishwaniketan's Institute of Management Entrepreneurship and Engineering Technology (ViMEET) Assistant Professor2018 - 2021
Education
-
Indian Institute of Technology Hyderabad PhD2022 - Present
-
B.M.S. College of Engineering M.Tech? - 2017
-
KLE Institute of Technology B.E? - 2015
-
Vidyaniketan PU Science College HSC (12th)? - 2011
-
Kendriya Vidyalaya No. 2 SSLC (10th)? - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Hybrid Quantum Neural Network with Self-Attention for Automated Detection of Distraction-Induced Driver Inattention and Stress from Multimodal Wearable Biosignals Save
- Automated identification of driver inattention state using textile electrocardiograms and higher-order cumulant features based classification Save
- Differential Self-Attention in 1-D CNNs for Driver Inattention Detection Using Multimodal Biosignals Save
- Acceptance of autonomous shuttle among Indian users: a UTAUT model analysis Save
- Impact of lane departure warning systems in critical driving conditions among young drivers Save
- Multimodal Wearable-Based Automated Driver Inattention State Assessment Using Multidevices and Novel Cross-Modal Attention Framework Save
- Impact of Texting-Induced Distraction on Driving Behavior Based on Field Operation Tests Save
- Assessment of Driver Inattention State Using Multimodal Wearable Signals and Cross-Attention-Driven Hierarchical Fusion Save
- Assessment of Driver Inattention State using Multimodal Attentive Feature Fusion Save
- Automated identification of driver inattention state using textile electrocardiograms and bispectrum based classification Save