Ankita Jain

Dr. Ankita Jain is an Assistant Professor in the Electrical and Electronics Engineering Department at Mahindra École Centrale College of Engineering. She received Ph.D. in the Discipline of Electrical Engineering from Indian Institute of Technology Indore, Indore, India in 2019. Prior to joining MU, she worked for Intel Microelectronics, Penang, Malaysia for a year. Her research interests are in the area of Image Processing, Biometrics, Digital Signal Processing, and Pattern Recognition.

• Ph.D. degree in the Discipline of Electrical Engineering from Indian Institute of Technology Indore, Indore, India.
  Title“Human behavior analysis using smartphone sensor data”
  Supervisor: Dr. Vivek Kanhangad

• Master of Technology degree in VLSI Design from ABV-Indian Institute of Information Technology and Management, Gwalior, India.
  Title: “Reduction of subthreshold leakage power in nanometer regime: A reference to CMOS device”

• Bachelor of Engineering in Electronics & Communication Engineering from Institute of Technology and Management, Gwalior, India

Journals

• A. Jain and V. Kanhangad, “Gender Recognition in Smartphones using Touchscreen Gestures,” Pattern Recognition Letters, vol. 125, pp. 604-611, 2019.
• A. Jain and V. Kanhangad, “Human activity classification in smartphones using accelerometer and gyroscope sensors,” IEEE Sensors Journal, vol. 18, no. 3, pp. 1169-1177, 2018.
• A. Jain and V. Kanhangad, “Gender classification in smartphones using gait information,” Expert Systems with Applications, vol. 93, pp. 257-266.
• A. Jain and V. Kanhangad, “Exploring orientation and accelerometer sensor data for personal authentication in smartphones using touchscreen gestures,” Pattern Recognition Letters, vol. 68, no. 2, pp. 351-360.
• A. Sisodhiya, A. Jain, R. M. Banakar, “Face Recognition using Depth Map Generation for Smart phones,” International Journal of Advanced Computer Research, vol. 3, no. 3, pp.

Conference Proceedings

• A. Jain and V. Kanhangad, “Human Activity Classification in Smartphones using Shape Descriptors,” 24th National Conference on Communications (NCC).
• A. Jain and V. Kanhangad, “Investigating Gender Recognition in Smartphones using Accelerometer and Gyroscope Sensor Readings,” IEEE International Conference on Computational Techniques in Information and Communication Technologies, pp. 597-602.
• A. Jain, K. Kutty and S. Yerva, “GMM based approach for human face verification using relative depth features,” International Conference on Advances in Computing, Communications and Informatics (ICACCI), Mysore, pp. 675-680.
• R. K. Behera, P. Kharade, S. Yerva, P. Dhane, A. Jain and K. Kutty, “Multi-camera based surveillance system,” World Congress on Information and Communication Technologies, Trivandrum, pp. 102-108.
• P. Dhane, A. Jain and K. K. Kutty, “A new algorithm for 3D object representation and its application for human face verification,” International Conference on Image Information Processing, Shimla, pp. 1-6.
• K. K. Jha, A. Jain, M. Pattanaik and A. Srivastava, “Performance Analysis of NMOS for Higher Speed and Low Power Applications,” 5th International Conference on Future Information Technology, Busan, pp. 1-3.

• Dr. Ankita Jain is an Assistant Professor in the Electrical and Electronics Engineering Department at Mahindra École Centrale College of Engineering

• April 2019-February 2020: Worked as a Firmware validation engineer in Intel Microelectronics, Penang, Malaysia.

• Worked as a Junior Scientist from Jan 2013 to Nov 2013 and as a Sr. Research Associate from May 2010 to Dec 2012 in the Research and Development department of KPIT Technologies Limited.

Areas of interest:

• Digital Signal and Image Processing
• Biometrics
• Pattern Recognition
• Machine Learning

Professional Services:

• Organized TecXpedition 2013 (technical paper conference) at KPIT Technologies Ltd.

Reviewer of International Journals:

• IEEE Journal of Biomedical and Health Informatics
• Pattern Recognition Letters
• IEEE Sensors Journal
• IEEE Access