Dr. Vatsala Anand
Assistant Professor

Publications

SCI-indexed Journals:

1. Adel Sulaiman, Vatsala Anand, Sheifali Gupta, Yousef Asiri, M. A. Elmagzoub, Mana Saleh Al Reshan, and Asadullah Shaikh. A Convolutional Neural Network Architecture for Segmentation of Lung Diseases Using Chest X-ray Images. Diagnostics, H Index-35, Impact Factor- 3.992, 13(9), (2023): 1651.
2. Rupesh Gupta, Vatsala Anand, Sheifali Gupta, and Deepika Koundal. Deep Learning Model for Defect Analysis in Industry using Casting images. Expert Systems with Applications (2023): 120758.
3. Vatsala Anand, Sheifali Gupta, Deepali Gupta, Yonis Gulzar, Qin Xin, Sapna Juneja, Asadullah Shah, and Asadullah Shaikh. Weighted Average Ensemble Deep Learning Model for Stratification of Brain Tumor in MRI Images. Diagnostics, H Index-35, Impact Factor- 3.992, 13(7), (2023): 1320.
4. Vatsala Anand, Sheifali Gupta, Deepika Koundal, and Karamjeet Singh. 2023. Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images. Expert Systems with Applications, p.119230, H Index-225, Impact Factor- 8.665.
5. Vatsala Anand, Sheifali Gupta, Deepika Koundal, Soumya Ranjan Nayak, Paolo Barsocchi, and Akash Kumar Bhoi. 2022. Modified U-NET Architecture for Segmentation of Skin Lesion. Sensors, Multidisciplinary Digital Publishing Institute (MDPI), H Index-196, Impact Factor- 3.576, 22(3), p.867.
6. Vatsala Anand, Sheifali Gupta, Soumya Ranjan Nayak, Deepika Koundal, Deo Prakash and K.D. Verma. 2022. An automated deep learning models for classification of skin disease using Dermoscopy images: a comprehensive study. Multimedia Tools Applications, Springer Netherlands, H Index-80, Impact Factor-2.757, 81(17), pp.1-23.
7. Vatsala Anand, Sheifali Gupta, Deepika Koundal, Shubham Mahajan, Amit Kant Pandit, and Atef Zaguia. 2022. Deep learning based automated diagnosis of skin diseases using dermoscopy. Computers Materials & Continua, Tech Science Press, H Index-44, Impact Factor-3.772, 71(2), pp.3145-3160.
8. Vatsala Anand, Sheifali Gupta, Ayman Altameem, Soumya Ranjan Nayak, Ramesh Chandra Poonia and Abdul Khader Jilani Saudagar. 2022. An enhanced Transfer Learning based Classification for Diagnosis of Skin Cancer. Diagnostics, MDPI AG, H Index-35, Impact Factor- 3.992, 12(7), p.1628.
9. Vatsala Anand, Sheifali Gupta, Deepika Koundal, Soumya Ranjan Nayak, Janmenjoy Nayak, and S. Vimal. 2022. Multi-class Skin Disease Classification Using Transfer Learning Model. International Journal on Artificial Intelligence Tools, World Scientific Publishing Co. Pte Ltd, H Index-33, Impact Factor- 0.778, 31(02), p.2250029.

Conferences:

1. Rakesh Kumar, Vatsala Anand, Sheifali Gupta, Maria Ganzha, and Marcin Paprzycki. Automatic Identification of Cataract by Analyzing Fundus Images Using VGG19 Model. In Big Data Analytics in Astronomy, Science, and Engineering: 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5–7, 2022, Proceedings, pp. 135-148. Cham: Springer Nature Switzerland, 2023.
2. Vatsala Anand, Kanwarpartap Singh Gill, and Sheifali Gupta. “Multi-class Classification of Colon and Lung Cancer using Deep Convolution Neural Network.” In 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), pp. 447-451. IEEE, 2023.
3. Vatsala Anand, Sheifali Gupta, Deepika Koundal, Soumya Ranjan Nayak, Jana Shafi, and Akash Kumar Bhoi. 2023. Segmentation and Classification of Skin Cancer Using K-means Clustering and EfficientNetB0 Model. In Advances in Communication, Devices and Networking (pp. 471-481). Springer, Singapore.
4. Vatsala Anand, Sheifali Gupta, Deepika Koundal. 2022. Detection and Classification of Skin Disease Using Modified Mobilenet Architecture. ECS Transactions, 107(1), p.5059.
5. Vatsala Anand, Sheifali Gupta, Deepika Koundal. 2022. Skin Disease Diagnosis: Challenges and Opportunities. In Proceedings of Second Doctoral Symposium on Computational Intelligence, pp.449-459. Springer, Singapore.

Field of Specialisation

Machine Learning, Deep Learning, Artificial Intelligence, Image Processing, Computer Vision

Programming Skills and Software

Python, PyCharm, Google Colab, Anaconda, Spyder, Cadence Virtuoso, Multisim, and Matlab

Professional Activities

Assistant Editor in the Chitkara University Magazine “ResNovae”.

Reviewer

1. 3rd IEEE International Conference on Advances in Computing, Communication Control and Networking, 2021.

Organizer

1. Three days FDP on “Medical Image Analysis Using Deep Learning” held on 28th – 30th September, 2020 in Chitkara University, Punjab.
2. Member of Organizing Committee in 5th International Conference for Electronics Engineering, WECON (Wireless Networks & Embedded Systems), 14th-15th October, 2016.

1. Resource person of STEAM School, in Machine Learning and Deep Learning for Real-time Applications Chitkara University, Rajpura, Punjab held in May, 2021.
2. Resource person of STEAM School, in Make and Test Your First Circuit, Chitkara University, Rajpura, Punjab held in February, 2018.

Incentive Award for more number of publications in Excellence Awards 2023.

1. “System and Method for Providing Driving Assistance to User”, Vatsala Anand, Sakshi Sharma, Keshav Kumar, Mandeep Walia, Sheifali Gupta, Rupesh Gupta, Deepali Gupta, Patent Application Filing Date: 23rd September, 2020, Patent Filing Number: 202011041262.
2. “Wearable Device for Automatic Stress Monitoring”, Sarang Sharma, Sheifali Gupta, Soumya Ranjan Nayak, Deepali Gupta, Rupesh Gupta, Vatsala Anand, Patent Application Filing Date: 21st September, 2021, Patent Filing Number: 202111042735.
3. “System, Vessel and Method for Cleaning Water Body”, Shalli Rani, Diksha Sharma, Somanshu Chaudhary, Shivani, Sakshi Sharma, Vatsala Anand, Himanshu Jindal, Patent Application Filing Date: 28th June, 2019, Patent Filing Number: 201911025978.
4. “Electrical Upholstery Cleaner”, Anjali Xess, Vatsala Anand, Ruchi Sharma, Parambir Singh, Jeevan Singh Dosad, Patent Application Filing Date: 6th October, 2021, Patent Filing Number: 350830-001.
5. “Automated Fare Collection System in Public Transport”, Vatsala Anand, Rupesh Gupta, Sheifali Gupta, Patent Application Filing Date: 28th May, 2022, Patent Filing Number: 202211030702.
6. “Wardrobe Umbrella Stand”, Anjali Xess, Ravi Dandotiya, Deepika Puri, Ruchi Sharma, Siddharth Bedi, Vatsala Anand, Patent Application Filing Date: 14th June, 2022, Patent Filing Number: 366061-001.
7. “Iot-Based System for Sorting and Collecting Garbage in Bins”, Vatsala Anand, Sheifali Gupta, Rupesh Gupta, Patent Application Filing Date: 28th October, 2022, Patent Filing Number: 202211061629.
8. “System for Automated Shoe Cabinet with an Augmented Reality Mirror”, Kanwarpartap Singh Gill, Vatsala Anand, Sheifali Gupta, Rupesh Gupta, Vivek Pahwa, Patent Application Filing Date: 10th January, 2023, Patent Filing Number: 202311002075.
9. “Device for Attending Patients”, Gurpartap Singh, Parth Shaktan, Phuntsho Choden, Yeshi Rigsel WANGCHUK, Rupesh Gupta, Sheifali Gupta, Vatsala Anand, Patent Application Filing Date:  23rd March, 2023, Patent Filing Number: 202311020563.

PhD (Deep Learning)
M.Tech (Digital Image Processing)
BE (Electronics and Communication)

• Teaching Assistant during Masters, Chitkara University, Punjab, India (11^th July, 2016 – 31^st May, 2019)
• Research Assistant during Ph.D., Chitkara University, Punjab, India (August 2019 – 30 Nov, 2022)
• Assistant Professor, Chitkara University, Punjab, India (1 Dec, 2022- till present)