Dr.Vaishali Kulkarni

PhD Scholars: – (3 completed, 4 registered)

• Dr Sumita Nainan (completed in 2021), Research area: Person Identification using multimodal biometrics
• Dr Shashikant Patil (completed in 2021), Research area: Image Processing techniques for carries detection.
• Dr Kavita Bani (completed in 2023), Research area: Cooperative Spectrum Sensing in Cognitive Radio Networks
• Ms Purva Badhe (registered in 2018), Research area: Translation of Indian Sign Language into English Text (Divyangjan)
• Ms Priyanka Verma (registered in 2018), Research area: Multigrade Brian Glioma Tumor Classification using Radiogenomics
• Ms Ketki Deshmukh (registered in 2022), Research area: Secure Authentication using Cancelable Multi-Biometrics
• Ms Ashwini Gade (registered in 2021), Research area: Molecular Subgroup Classification of Medulloblastoma using MRI based radiogenomic approaches on index imaging and Survival Prediction with radiomic features.

Awards:

1. 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.
2. 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.
3. 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
4. Best Faculty Award, 2012, MPSTME, Mumbai.

Memberships:

1. Member IEEE (Institute of Electric and Electronics Engineers)
2. Life Member of IETE. (Institution of Electronics and Telecommunication Engineers)
3. Life member of ISTE (Indian Society of Technical Education)
4. 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.
• Nainan S, and Kulkarni V, Synergy in voice and lip movement for automatic person recognition, IEIE Transactions on Smart Processing and Computing, volume 8, number 4, pages 279-289, 2019.
• Purva Badhe, Vaishali Kulkarni, “A review on Sign Language Recognition for improved communication”, NMIMS Engineering and Technology review, Volume 1, issue 1, 2019.
• Shashikant Patil, Vaishali Kulkarni, Archana Bhise, “Comprehensive Assessment of Dental Cone Beam Computed Tomography (CBCT): A systematic approach”, NMIMS Engineering and Technology review, Volume 1, issue 1, 2019.
• Shashikant Patil, Vaishali Kulkarni, Archana Bhise, “Algorithmic analysis for dental caries detection using an adaptive neural network architecture”, Heliyon, 2019.
• Patil S, Kulkarni V, Bhise A, Caries detection using multidimensional projection and neural network, International Journal of Knowledge-Based and Intelligent Engineer Systems, volume 22, number 3, pages 155-166, 2018.
• Purva Badhe, Dr Vaishali Kulkarni, “A review on posture assessment”, IOSR Journal of Sports and Physical Education, Volume 5, Issue 5, 2018.
• Shashikant Patil, Vaishali Kulkarni, Archana Bhise, “An intelligent system with dragonfly optimization for carries detection”, IET Image Processing journal, 2018.

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.

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.
• S. S. Mukherjee, A. Chandra, K. Chemburkar and V. Kulkarni, “Project Lingua Franca: Democratizing Information through Unified Optical Character Recognition and Neural Machine Translation,” International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023.
• D. Gupta, S. Chand, D. Chandan, D. Shah, A. Bhapkar and V. Kulkarni, “EarSiamNet: Leveraging Siamese Networks and SVM for Ear Biometric Authentication,” International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023.
• V. Oberoi, B. S. Negi, D. Chandan, P. Verma and V. Kulkarni, “Grade and Subtype Classification for Glioma Tumors using Clinical and Molecular Mutations,” International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023.
• S. Dongre, S. Mehta, P. Raut and V. Kulkarni, “Elevating Fingerprint Matching with a Unified dHash, SIFT, and LSH Model,” International Conference on Computer Vision and Machine Intelligence (CVMI), Gwalior, India, 2023.
• Namboodiri R, Singla K, Kulkarni, V, GaN Based Try-On System: Improving CAGAN towards Commercial Viability, 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021.
• P. C. Badhe and V. Kulkarni, “Artificial Neural Network based Indian Sign Language Recognition using hand crafted features,” 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2020.
• K. Bani and V. Kulkarni, “Simulation and Analysis of IEEE 802.22 Cognitive Radio Network,” 2020 International Conference on Convergence to Digital World – Quo Vadis (ICCDW), Mumbai, India, 2020,
• Vaishali Kulkarni, Kavita Bani, Analysis of energy detector with improved ED and variable threshold ED suitable for digital TV IEEE 802.22 WRAN, Journal of Physics: Conference Series, 2020.
• Shenvi, P., Samant, N., Kumar, S., Kulkarni Vaishali, Implementation of Interpolation in Credit Card Fraud Detection, Soft Computing and Signal Processing. ICSCSP 2019.
• Pranali Shenvi, Neel Samant, Shubham Kumar and Vaishali Kulkarni, “Credit Card fraud detection using Deep learning”, 15th international conference for Convergence in technology, 29th – 31st march 2019.
• Dr Vaishali Kulkarni, Kavita Bani, “Simulink based estimation of spectrum sensing in cognitive radio”, Innovations in Electronics and communication engineering, 2018.
• Vaishali Kulkarni, Sumita Nainan, “Lip tracking using deformable models and geometric approaches proceedings of ICTIS 2018 Volume 1.
• Vasundhara Gokarn, Vaishali Kulkarni, Zia Saquib, “Enhancing Control System Security of Power Grid Using Anomaly Detection and Behaviour Analysis”, International Conference on Advances in Computing, Communications and Informatics, 13-16 September, 2017, pp. 1249-1255.
• Vaishali Kulkarni, Sumita Nainan, A Comparison of Performance Evaluation of ASR for Noisy and Enhanced signal using GMM, 2016 International Conference on Computing, Analytics and Security Trends (CAST), Dec 19-21, 2016, pp. 489-494.
• D. V. Ghodke, Priya Khachane, V. K. Senecha, Vaishali Kulkarni, S. C. Joshi, “Simulation & Design of Maximum Current Point Tracking Controller for 2 MHz RF H- Source”, International Conference on Advances in Computing, Communications and Informatics, September 21st-24th 2016, pp. 2145-2150.
• Vaishali Kulkarni, Sumita Nainan, “Performance Evaluation of Text Independent Voice Biometrics System using MFCC and VQ”, Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, March 04 – 05, 2016, Article No.133.
• D. V. Ghodke, Priya Khachane, V. K. Senecha, Vaishali Kulkarni, S. C. Joshi, “Simulation & design of high power class-D, 2 mhz, 4 kW RF source for RF based h- ion source”, International Conference on Devices, Circuits and Systems, ICDCS 2016, Mar 3-5, 2016, pp. 10-13.
• Dr. Vaishali Kulkarni, Kavita Bani, “Simulink Based Comparison of Spectrum Sensing Techniques in Cognitive Radio”, International Conference on Innovations in Electronics & Communication Engineering, 8-9 July 2016, pp. 387-398.
• Purva Badhe, Dr. Vaishali Kulkarni, “Indian Sign Language Translator using Gesture Recognition Algorithm”, International Conference on Computer Graphics, Vision and Information Security (CGVIS), Bhubaneswar, 2-3 November 2015, pp. 195-200.
• Vaishali Kulkarni, Snehal Bhagat, Chandrabala Kothari, Vishram Bapat, “Classification and Determination of Physical Intrusion using Wireless Sensor Networks”, 6th International Conference on Computing, Communications and Networking Technologies, Denton, Texas, July 13-15, 2015.

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.