Bhumika Research Scholar • Learner • Creative Writer

About Me

Professional Me

I am a senior research fellow in the department of Computer Sciences and Engineering at the Indian Institue of Technology Jodhpur, Rajasthan, India. My Ph.D. is going on under the supervision of Dr. Debasis Das titled "Spatio-temporal anomaly analytics in cityspaces for imporoving city intelligence." I am interested in exploring the fields of urban informatics, spatio-temporal analytics, AI for social good, Machine Learning, and smart city.

Educational Qualification

Jan 2020 - Ongoing (Ph.D.)

Computer Science & Engineering (IIT Jodhpur)
Supervisor - Dr. Debasis Das
Thesis - Spatio-Temporal Anomaly Analytics in Cityspaces
CGPA - 8.7

2017-2019 (M.Tech.)

Computer Science & Engineering (C-DAC, Noida)
Supervisor - Dr. Kalpana Johari
Thesis - Automatic Grading of Short Answers Questions
University - Guru Gobind Singh Indraprastha University
CGPA - 9.02

Reserch Interests

Spatial temporal analysis, Vehicular machine learning, Urban computing, Spatial datascience, and AI for Social Good.

Work Experience

Jul 2019 - Dec 2019

Guest Faculty - Computer Science & Engineering
Institute - National Institute of Technology Hamirpur
Subjects - Game Theory and Wireless Sensor Network

Jul 2012- Aug 2013

Samsung India Electronics Pvt. Ltd., Noida
Position - Associate Engineer
Work Profile - Quality Assurance Testing

Publications

  • Bhumika and Debasis Das. "A Deep Learning based Framework to Predict Urban Anomaly from Multi-Stream Data" in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022) [Accepted]
  • Bhumika Bhumika, Debasis Das and Sajal K. Das. "RsSafe: Personalized Driver Behavior Prediction for Safe Driving" in IEEE World Congress on Computational Intelligence (IEEE WCCI) International Joint Conference on Neural Networks (IJCNN 2022) [Accepted]
  • Rigoni Giulio, Cristina M. Pinotti, Bhumika , Debasis Das, and Sajal K. Das. "Delivery with UAVs: a simulated dataset via ATS". In 2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring). IEEE. Check it out!
  • Jayant Vyas, Nishit Bhardwaj, Bhumika, Debasis Das, "TransDBC: Transformer for Multivariate Time Series based Driver Behavior Classification", The 2022 International Joint Conference on Neural Networks (IJCNN 2022) [Accepted]

Computer Skills

Languages

Tools