Dr. Vaishali Kulkarni - MPSTME
ENQUIRE NOW

Department
Artificial Intelligence

Basic Information

  • Email Id: vaishali.kulkarni@nmims.edu
  • Landline extension:(022)- 42334073
  • Desk Location:Faculty room 601
  • Education Qualification: Ph D | ME (EXTC)

Area of Research

  • Signal Processing
  • machine Learning
  • Artificial Intelligence
  • Biometrics
  • Medical Image Processing
  • Gesture recognition
Awards
  • Best Paper Award for the presentation titled, “Speaker Identification by using Power Distribution in Frequency Spectrum”, University Day Paper presentation competition on 13th January 2010.
  • 1st prize in Category II for the paper titled, “Automatic Speaker Recognition using circular DFT Sectors”, in Manshodhan, Paper presentation competition in Mithibai College, 27th November 2010.
  • Best Paper Award for the paper titled, “Closed set and Open set Speaker identification using Amplitude Distribution of Different Transforms”, in International Conference on Advances in Technology and Engineering (ICATE), ICATE 2013
  • Best Faculty Award, 2012, MPSTME, Mumbai.
Memberships
  • Member IEEE (Institute of Electric and Electronics Engineers)
  • Life Member of IETE. (Institution of Electronics and Telecommunication Engineers)
  • Life member of ISTE (Indian Society of Technical Education)
  • Life member of IAENG (International Association of Engineers)
Achievements
  • Reviewer for IEEE ACCESS
  • Reviewer for ACM Transactions on Asian and Low-Resource Language Information Processing
  • Reviewer for doctoral thesis evaluator for many universities.
  • Program committee member, reviewer and session chair for many international conferences
  • Board of studies member for many universities
Publications

Journals

  • Kavita Bani, Vaishali Kulkarni, Hybrid Spectrum Sensing Using MD and ED for Cognitive Radio Networks, Journal of Sensor and Actuator Networks, July 2022.
  • Kavita Bani, Vaishali Kulkarni, Cooperative Spectrum Sensing under SISO and MIMO Environment for Cognitive Radio Networks, International Journal of Sensors, Wireless Communications and Control, June 2022.
  • Nainan S and Kulkarni V, Enhancement in speaker recognition for optimized speech features using GMM, SVM and 1-D CNN, International Journal of Speech Technology, 2020.
  • Read More

Books Published
  • Vaishali Kulkarni, Radhika Chapaneri, Ami Munshi, (Ed.) (2024), Transformative Role of Natural Language Processing and Deep Learning in Industrial and Societal Applications, Gaurang Publications, India. – ISBN – 9789393789556
Chapters
  • Vaishali Kulkarni, Radhika Chapaneri, Suvaditya Mukherjee, Shireen Chand, Shreyas Dongre, (Ed.) (2024), Transformative Role of Natural Language Processing and Deep Learning in Industrial and Societal Applications, chapter – 1, “Developing kornia, an open-source Differentiable computer vision library”, Gaurang Publications, India. – ISBN – 9789393789556.
  • Vaishali Kulkarni, Khushal Sharma, Soham Singhal, Rohit Raval, (Ed.) (2024), Transformative Role of Natural Language Processing and Deep Learning in Industrial and Societal Applications, chapter – 9, “Image Steganography using Diffusion models”, Gaurang Publications, India. – ISBN – 9789393789556.
Conferences
  • P. Kittur, A. Pasha, S. Joshi and V. Kulkarni, “A Review on Anti-Spoofing : Face Manipulation and Liveness Detection,” International Conference on Computer Vision and Machine Intelligence (CVMI), Gwalior, India, 2023.
  • S. Chand, S. Ajay and V. Kulkarni, “From Disparity to Fairness: Analyzing Challenges and Solutions in AI Systems for Disabled Individuals,” International Conference on Computer Vision and Machine Intelligence (CVMI), Gwalior, India, 2023.
  • D. Chandan, A. Bhapkar and V. Kulkarni, “Open Set Masked Face Identification system,” International Conference on Computer Vision and Machine Intelligence (CVMI), Gwalior, India, 2023.
  • Read More