iHub Data Mobility fellowship

About

I Hub Mobility fellowship is aimed at supporting academic projects in the broad areas of transport and mobility. The fellowship aims to support projects related to pedestrian mobility, vehicle mobility, road infrastructure monitoring, road safety, Two-wheeler, three-wheeler and four- wheeler technology etc., Under this Fellowship projects can involve hardware or software domains or their combination.

iHub-Data Mobility Fellowship

Features of the grant

  • Compute minutes on a GPU cluster
  • Conference travel support for research team

Eligibility

  • B.Tech 4th year(starting between May - August 2024)
  • MS/M.Tech/PhD

Requirements

  • Submit a research project proposal within the scope of research areas (see below)
  • One proposal per team(A team can consist of up to 3 students)

Research Areas

  • Pedestrian, vehicle mobility, road infrastructure monitoring, road safety 
  • Hardware and software domains

Expected Outcomes

  • Publications 
  • Demo Prototypes (Hardware/Software)

Application template and instructions

  • One application per team, 2 pages max.
  • Application Template - Link
  • Application in Google Forms - Link for Uploading proposal
  • Last date for submission [Extended] - 31st May 2024
  • Terms and Conditions - Link

Additional Resources for ideas/support

2024 Winners

  • C.Samuel Peter, Dr.S.V.Subbarao, ( Mahindra University), Analysis of distractive driving behaviour of two-wheelers using Driver monitoring system (DMS) in Hyderabad City.
  • Jayaditya Reddy, Adip Krishna Guduru, Akshith Mynampati, ( Woxen University), Data-Driven Transportation Analytics: Multi-Modal Data Fusion with Predictive Modeling Towards Enhanced 2W Safety
  • Pratham, Priyanshi Aggarwal, Dr. Debabrata Ghosh, (Thapar Institute of Engineering and Technology, Patiala, Punjab), SmartGuard: An AI-Enhanced Safety Device for Motorised Two-wheelers
  • Erva Rishitha, Pranay Paratwar, Dr. Shounak Chakraborty, (Indian Institute of Information Technology, Design and Manufacturing Kurnool), Development of an adaptive semantic segmentation technology for autonomous driving at night-time
  • Cedric Jose, Sharwari Pawar, Krishnansh Vasaniya, Dr. Nandkumar Kulkarni, Dr. Sharon Christa, (MIT ADT UNIVERSITY), High-Speed Pothole Detection with LiDAR and Sensor Fusion
  • K. Madhuri, Aila Pallavi, S Shivaani Shri, Dr. C. Kishor Kumar Reddy, (Stanley College of Engineering and Technology for Women) Adaptive Road Safety and Infrastructure Monitoring System for Hilly Areas During Rainy Seasons


2023 Winners

  • F Vanlalhriatpuia, Dr. Kshetrimayum Robert Singh , (Mizoram University) On drive switching method for Torque Vectoring Control.
  • Vivek Kumar Paswan, Dr. Ayesha Choudhary, (Jawaharlal Nehru University, New Delhi) Real -Time Pedestrian Movement Pattern and Behavior Understanding
  • Tekaday Rajashree Vinay, Dr. Udit Jain, (Visvesvaraya National Institute of Technology, Nagpur) Development of a Driver Rating System using CPS Data Loggers
  • Manish Prajapati, Dr. Ayesha Choudhary, (Jawaharlal Nehru University, New Delhi) Smart phone based rider safety system for two wheelers
  • Prithviraj, Dr. Ranju Mohan, (IIT Jodhpur) A Predictive Model of Road Traffic Accidents Using Surrogate Safety Measures.
  • Bhusan Inamadar, Anmol Bhosale, Sneha B Patil, Prabha C Nissimagoudar,(KLE Tech) PHOTO- Pot Hole Observation and Tyre Operation.
  • Vamsi Kommanamanchi, Dr. Hariprasad C, (Mahindra University) Quality control of pavement layers constructed with C&D waste by LWD device.
  • Kanakam Vishal, Abhenay Shree, Dr K Adalarasu, (Sastra Deemed University) Design of AI-driven Smart Helmet for Two- wheeler Drivers.
  • Sure.nichith, Kavya.B, J.mani chenna Kesava reddy, Dr.N.Jaswanth( Woxen University) Beyond Safety ‘In Vehicle Driver Distraction Monitoring With Attention Quantification With Medical Emergency Fusion.
  • Sure.nichith, Kavya.B, J.mani chenna Kesava reddy, Dr.N.Jaswanth (Woxen University) Machine-Vision Assisted Driver monitoring and safety recommendation system using multi-featured analysis in unconstrained road traffic environments.
  • Himaja Anchuri, Dharani Pokuri, Dr. Hrishikesh Venkataraman, (IIIT Sricity) Data Analytics based Recommendation System for Two wheelers.
  • Guruprasad Kamat ,Mahek Jain,Rochan Bachari, Prabha C Nissimagoudar,(KLE Tech) Object or Human detection through the sunroof to alert the driver.
  • Vandita Dutt, Anandita Jamwal, Suraj Kumar, Dr. Dinesh Singh, Dr. Rohit Saluja, (IIT Mandi) Development of a dashcam based real-time accident anticipation method.


2022 Winners

  • AKSHAT SRIVASTAVA, SURYA GAYATHRI BINDU, SRISHTI CHAKRABORTY, Dr. Ravi Eswar K M ( SRM Chennai) Enhanced Direct Torque Controlled Electric Vehicle Motor Drive for simple, robust, smooth and efficient Operation.
  • Biman Giri, Ansh Arora, Dr. A V Subramanyam,(Indraprastha Institute of Information Technology, Delhi(IIITD) Vehicle Re-identification.
  • Madhumita Dey, Aniruddha Khatua, Dr. Bharath H. Aithal (Indian Institute of Technology Kharagpur) DBRAD: Deep Learning Based Road Anomaly Detection.
  • Paras Patil,Vishesh Mittal, Dr. Nupur Giri (Vivekanand Education Society's Institute of Technology) Spatiotemporal Forecasting of Traffic Flow Data and Optimal Path Navigation using LinkPrediction Model.
  • Manthena Manisimha Varma, Srirangapuram Rohini Kumar Sai, Dr. Srikanth Prabhu (Manipal Institute Of Technology, Manipal) Smart Helmet with AI assistance.
  • Mr. Deborsi Basu, Dr. Uttam Ghosh and Prof. Raja Datta (Indian Institute of Technology Kharagpur, India) SoftDrive: vSDN-enabled Edge Data Sharing in 5G-driven Vehicular Networks.
  • Lohith Sowmiyan P.S., Guna M., Sairam Vaidya M, Dr. G. R. Karpagam (PSG College of Technology) Leveraging Edge Computing with Quantized Deep Learning Models for Road Damage Detection.
  • Amal M Ashok, Anandhu Sunos, Vivek Thankachan, Dr Anooja Balan (Malabar College of Engineering and Technology, Thrissur, Kerala) A self-charging electric bike with battery constellation technology.

Publications

  • Ravi Eswar Kodumur Meesala,Akshat Srivastava,Surya Bindu, Srishti Chakraborty , An Enhanced Electric Vehicle with modified Predictive Direct Torque Control of Open Winding Permanent Magnet Synchronous Motor Drive , IEEEGlobConPT2022
  • Deborsi Basu,Vikash Kumar Gupta,Uttam Ghosh,Raja Datta , SoftFlow: Distributed Control Plane Load Balancing in Softwarized 5G WANs using Flow Migration , IEEE_UEMCON2022
  • Deborsi Basu,Uttam Ghosh,Raja Datta , SoftDrift: Intelligent Resource Management in Softwarized Vehicular Network for 5G and Beyond , IEEEANTS2022
  • Deborsi Basu,Vikram Krishnakumar,Uttam Ghosh,Raja Datta , DeepCare: Deep Learning-Based Smart Healthcare Framework using 5G Assisted Network Slicing , IEEEANTS2022
  • Deborsi Basu , SoftCure: Secure and Dynamic Network Slice Provisioning in vSDN-enabled 5G Networks , IEEEANTS2022

Notable Achievements

One of the research papers titled “An Enhanced electric vehicle with modified predictive direct torque Control of open winding permanent magnet synchronous motor drive” has won a gold medal at the Research Day 2023 event organised by thier college (SRM IST). The presentation was done with the acknowledgement of Mobility team IIIT- Hyderabad.

Contact

Location:

IIIT Hyderabad, Gachibowli, India