Dr. Anupam Garg

Assistant Professor

Ph.D in Computer Science and Engineering, IKG Punjab Technical University, Jalandhar, Punjab

Areas of Interest:

Image Processing, Pattern Recognition, Medical Imaging, Machine Learning, Deep Learning, Signal Processing

Papers Published

(SCI/Scopus Indexed)

Surbhi Gupta, Munish Kumar and Anupam Garg, Improved Object Recognition Results Using SIFT and ORB feature detector, Multimedia Tools and Applications, Springer, October 2019,28(20): 1-15.
Shaveta Dargan, Munish Kumar, Anupam Garg and Kutub Thakur, Writer Identification system for pre-segmented offline handwritten Devanagari characters using k-NN and SVM, Soft Computing, Springer, November 2019, 24: 10111-10122.
Anupam Garg, Manish Kumar Jindal, and Amanpreet Singh, Degraded offline handwritten Gurmukhi character recognition: study of various features and classifiers, International Journal of Information Technology, Springer, November 2019, 1-9.
Vyabhav Chaturvedi, Arman Beer Kaur, Vedansh Varshaney, Anupam Garg, Gurpal Chhabra and Munish Kumar, Music Mood and Human Emotion Recognition Based on Physiological Signals: A Systematic Review, Multimedia Systems, April 2021,28:21-44.
Dmitry Kaplun, Alexander Krasichkov, Petr Chetyrbok, Nikolay Oleinikov, Anupam Garg and Husanbir Singh Pannu, Cancer Cell Profiling Using Image Moments and Neural Networks with Model Agnostic Explainability: A Case Study of Breast Cancer Histopathological (BreakHis) Dataset, Mathematics, MDPI, October 2021, 9(20): 2616.
Anupam Garg, Manish Kumar Jindal, and Amanpreet Singh, Offline handwritten Gurmukhi character recognition: k-NN vs. SVM classifier, International Journal of nformation Technology, Springer, December 2021,13 (6): 2389-2396.
Anupam Garg, Anshu Parashar, Dipto Barman, Sahil Jain, Divya Singhal, Mehedi Masud and Mohamed Abouhawwash, Autism Spectrum Disorder by an Explainable Deep Learning Approach, Computers, Materials & Continua, 2022, vol.71, no.1: 1459-1471.
Anupam Garg, Vyabhav Chaturvedi, Arman Beer Kaur, Vedansh Varshaney and Anshu Parashar, Machine learning model for mapping of music mood and human emotion based on physiological signals, Multimedia Tools and Applications, January 2022, 81(4): 5137-5177.
Kuljot Singh, Anshu Parashar and Anupam Garg, A Machine Learning Based Framework for Network Intrusion Detection System Using Stacking Ensemble Technique, Indian Journal of Engineering and Material Sciences, August 2022, vol. 29, pp. 510-519.

Other International Publications

Anupam Garg & Nirmal Kaur, Quality Analysis for Different Types of Noise Removal Filters, CiiT International Journal of Digital Image Processing, Vol 2, No 11, November 2010, pp. 480-485.
Anupam Garg, An Improved Algorithm of Fractal Image Compression, International Journal of Computer Applications, Vol. 34, Issue No. 2, November 2011, pp.17-21.
Rahul Kumar & Anupam Garg, Face Recognition through Combined SVD and LVP Features, International Journal of Computer Applications, Vol.88, No.9, February 2014, pp.23-27, ISSN-0975-8887.
Jaspreet Singh Dhanoa & Anupam Garg, Review of CBIR System, International Journal of Computer Science Engineering & Technology, Vol. 4, Issue8, August 2014, pp. 242-244, ISSN-2231-0711.
Amritpal Singh & Anupam Garg, An Approach for Segmentation of Ultrasound Liver Images and Extracting the Features of Segmented Part, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 5, Issue 2, February 2015, pp. 303-308, ISSN-2277-128X.
Tanudeep Kaur & Anupam Garg, Review of Various Fractal Detection Techniques in X-Ray Image, IJCA Proceedings on International Conference on Advancements in Engineering & Technology, No. 1, August, 2015, pp. 26-28.
Jaspreet Singh Dhanoa & Anupam Garg, A Novel Technique for Shape Feature Extraction Using Content Based Image Retrieval, MATEC Web of Conferences 57, 02002, 2016.
Tanudeep Kaur & Anupam Garg, Bone Fraction Detection using Image Segmentation, International Journal of Engineering Trends and Technology (IJETT), Vol. 36, Issue 2, pp. 82-87, June 2016, ISSN:2231-5381.
Anshul & Anupam Garg, A Review of the Recognition System and Various Segmentation Techniques of Number Plates, International Journal of Research in Electronics and Computer Engineering, Vol.5, Issue 3, July-Sept 2017, pp.183-187.

International Conferences

Anupam Garg and Amit Kamra, Performance Analysis of Fractal Image Compression, International Conference On Power Systems Operation & Control (ICOPS’10), Guru Nanak Dev Engineering College, Ludhiana.
Anupam Garg, Amrita Kaur and Anshu Parashar, An Approach for Offline Handwritten Character Shape Reconstruction Using Contour and Morphological Techniques, 2021 International Conference on Advanced Computing and Intelligent Technologies (ICACIT2021), Galgotias University and Universtia Di Siena, Italy, March 20-21, 2021, pp. 183-193.ISSN: 2367-3370.
Amrita Kaur, Anshu Parashar and Anupam Garg, DeepPose: A 2D Image based Automated Framework for Human Pose Detection and a Trainer App using Deep Learning, 3rd Emergent Converging Technologies and Biomedical Systems, JUIT, Waknaghat in collaboration with DST iHub-AWaDH and IIT, Ropar, May 15-17, 2023.
Anupam Garg, Amrita Kaur and Anshu Parashar, An Automated Framework for the Segmentation of Skin Lesions Using Deep Learning, International Health Informatics Conference (IHIC-2023), Management Education and Research Institute group of Institutions, New Delhi, 17th – 18th October, 2023.

Testimonial

Dr. Anupam Garg is an Assistant Professor at the Thapar School of Libral Arts and Sciences. She brings over 17 years of teaching experience from various universities and institutes. Her research interests are focused on medical imaging, signal processing, and machine learning, particularly in the areas of Human-Computer Interaction (HCI) and Brain-Computer Interaction (BCI). She has experience in aligning human emotions with song moods to create personalized playlists for stress management. Additionally, she has collaborated with her team on silent speech technology to assist individuals with speech disabilities. She has mentored numerous masters and undergraduate students. She has completed numerous certified courses and Faculty Development Programs (FDPs) in Computer Science from prestigious universities. Additionally, she has published patents, contributed papers to esteemed journals, and presented at numerous conferences. As a hardworking, energetic, and student-centered educator, she has also been involved with the Training and Placement cell at Thapar Institute and is part of various student societies. She is committed to supporting students in achieving success in both their professional and personal lives.

Patents

A method for gender classification based on offline handwriting and a system thereof, International Patent (2021101078), 2021.
A system and method for automatic playlist generation by analysing human emotions through physiological signals, International Patent(2021101097), 2021.
Automatic deep learning-based water waste collection and segregation boat, Indian Patent (202211067496), 2024.