Dr. Narinder Singh Punn

Assistant Professor
Department of Computer Science and Engineering
Atal Bihari Vajpayee Indian Institute of Information Technology and Management Gwalior

Email: nspunn@iiitm.ac.in / nspunn1993@gmail.com

Recent Activities

  1. Our paper titles “2.5D Deep Learning Approach for Precise Image Segmentation of Gastro-Intestinal Tract” has been accepted for publication in the IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) 2024.
  2. Our paper titled “Liver Fibrosis Classification from Ultrasound using Machine Learning: A Systematic Literature Review” has been accepted for publication in the journal of Abdominal Radiology (AIMA) 2023. 
  3. Member organizer committee of Karyashala “Advanced Workshop on Deep Learning Applications in Imaging Systems” and “High End Workshop on Machine Learning applications for Medical Imaging” to be organized at ABV-IIITM Gwalior 2023.
  4. Publicity and Web chair at 2nd International Conference on Computer Vision and Machine Intelligence (CVMI) 2023.
  5. Our tutorial entitled “Multilayer Network Visualization: Theory and Applications” is accepted at the IEEE VIS: Visualization & Visual Analytics, 2023.
  6. Delivered a tutorial entitled “Explainable AI: Bridging the AI decisions and human trust” at the IEEE International Conference on Big Data (IEEE BigData) 2022.
  7. Delivered a tutorial entitled “Unrevealing Data Correlations with Self-Supervised Learning” at the IEEE Symposium Series on Computational Intelligence (IEEE SSCI) 2022.
  8. Participated and presented our papers entitled “Anomaly detection in surveillance videos using transformer based attention model” and “Impact of the composition of feature extraction and class sampling in medicare fraud detection” at the the 29th International Conference on Neural Information Processing (ICONIP) 2022.
  9. Participated and presented our paper entitled “BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models” at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2022.
  10. Delivered a talk on “Biomedical Image Segmentation using Deep Learning” at the Faculty Development Program organized by E&ICT Academy IIT Roorkee and IEEE UP Section at the Galgotias University, India 2022.

Brief Biography

My name is Narinder Singh Punn and I am currently working as an Assistant Professor in the Department of Computer Science and Engineering at Atal Bihari Vajpayee Indian Institute of Information Technology and Management Gwalior. Earlier, I worked as a Postdoctoral Fellow at the Machine Intelligence in Medical Imaging (MI2) lab, Mayo Clinic, Arizona, USA. I received Ph.D. in biomedical image segmentation from the Indian Institute of Information Technology Allahabad, Prayagraj, India, in April 2022I completed my Bachelor’s degree in computer science and engineering from the National Institute of Technology Hamirpur (NITH) in 2015. I have 2 years (2015-17) of experience as a software developer at Intellect Design Arena Ltd., Chennai, India.

I am always fascinated by the potential of machine learning and deep learning algorithms and hence follows my research interest. I have published papers in international journals, conferences and pre-print servers. My main research includes: Machine learning, Deep learning, Big data analytics and Data stream processing in healthcare domain. I have also gained outreach experience in delivering tutorial sessions and organizing several workshops and conferences on international platforms.

Professional Experience

  1. Currently working as an Assistant Professor in the Department of Computer Science and Engineering at Atal Bihari Vajpayee Indian Institute of Information Technology and Management Gwalior since March 2023.
  2. Worked as a Post-doctorate Fellow at Mayo Clinic, Arizona from August 2022 to March 2023.
  3. Worked as a Teaching Research Associate / Teaching Research Fellow (TRA/TRF) at Indian Institute of Information Technology Allahabad, India from January 2022 to June 2022.
  4. Worked as a consultant at the Intellect Design Arena Limited, India from June 2015 to June 2017.

Publications

Journal:

  1. Punn, Narinder Singh, Bhavik Patel, and Imon Banerjee. “Liver fibrosis classification from ultrasound using machine learning: a systematic literature review.” Abdominal Radiology (2023): 1-12. [SCI indexed, IF:2.7]
  2. Punn, Narinder Singh, and Sonali Agarwal. “BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models.” Machine Learning 111, 2022: 4585–4600. [SCI indexed, IF: 5.414]
  3. Punn, Narinder Singh, and Sonali Agarwal. “CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images.” Neural Processing Letters 54, 2022: 3771–3792. [SCIE indexed, IF: 2.908]
  4. Punn, Narinder Singh, and Sonali Agarwal. “Modality specific U-Net variants for biomedical image segmentation: a survey.” Artificial Intelligence Review 55, 2022: 5845–5889. [SCI indexed, IF: 8.139]
  5. Punn, Narinder Singh, and Sonali Agarwal. “RCA-IUnet: a residual cross-spatial attention-guided inception U-Net model for tumor segmentation in breast ultrasound imaging.” Machine Vision and Applications 33, no. 2, 2022: 27. [SCIE indexed, IF: 2.012] 
  6. Punn, Narinder Singh, and Sonali Agarwal. “Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks.” Applied Intelligence 51, no. 5, 2021: 2689-2702. [SCI indexed, IF: 5.086]
  7. Punn, Narinder Singh, and Sonali Agarwal. “Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation.” Multimedia Tools and Applications 80, no. 20 2021: 30305-30320.  [SCIE indexed, IF: 2.757]
  8. Punn, Narinder Singh, and Sonali Agarwal. “Inception u-net architecture for semantic segmentation to identify nuclei in microscopy cell images.” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 16, no. 1, 2020: 1-15. [SCIE indexed, IF: 3.144]

Conference:

  1. Agarwal, Navya Sonal, Narinder Singh Punn, and Sanjay Kumar Sonbhadra. “Exploring Public Opinion Dynamics on the Verge of World War III using Russia-Ukraine war-Tweets Dataset.” In the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022. [Scopus, Core rank: A*]
  2. Agarwal Sonali, Sanjay Kumar Sonbhadra, and Narinder Singh Punn. “Software Testing and Quality Assurance for Data Intensive Applications.” In The International Conference on Evaluation and Assessment in Software Engineering, pp 461–462. Association for Computing Machinery, 2022. [Scopus]
  3. Rajora, Harish, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Machine Learning Equipped Web-Based Disease Prediction and Recommender System.” In Advanced Machine Intelligence and Signal Processing, pp. 313-324. Springer, Singapore, 2022. [Scopus]
  4. Sumanth, Uppala, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Enhanced Behavioral Cloning-Based Self-driving Car Using Transfer Learning.” In 5th International Conference on Data Management, Analytics and Innovation (ICDMAI), pp. 185-198. Springer, Singapore, 2022. [Scopus, h-index: 9]
  5. Nagabhushan, P., Sanjay Kumar Sonbhadra, Narinder Singh Punn, and Sonali Agarwal. “Towards Machine Learning to Machine Wisdom: A Potential Quest.” In 9th International Conference on Big Data Analytics, pp. 261-275. Springer, Cham, 2021. [Scopus]
  6. Praveen, Nalla, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, M. Syafrullah, and Krisna Adiyarta. “White blood cell subtype detection and classification.” In 2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), pp. 203-207. IEEE, 2021. [Scopus]
  7. Gupta, Sachin, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “MAG-Net: Multi-task Attention Guided Network for Brain Tumor Segmentation and Classification.” In 9th International Conference on Big Data Analytics, pp. 3-15. Springer, Cham, 2021. [Scopus]
  8. Rajput, Gaurav, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Hate speech detection using static BERT embeddings.” In 9th  International Conference on Big Data Analytics, pp. 67-77. Springer, Cham, 2021. [Scopus]
  9. Agrawal, Prachi, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Impact of Attention on Adversarial Robustness of Image Classification Models.” In IEEE International Conference on Big Data (Big Data), pp. 3013-3019. IEEE, 2021. [Scopus, Core rank: B]
  10. Sudhanshu, Narinder Singh, Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Recommending best course of treatment based on similarities of prognostic markers.” In 28th International Conference on Neural Information Processing (ICONIP), pp. 393-404. Springer, Cham, 2021. [Scopus, Core rank: B]
  11. Batra, Himanshu, Narinder Singh, Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “BERT-Based Sentiment Analysis: A Software Engineering Perspective.” In 32nd International Conference on Database and Expert Systems Applications (DEXA), pp. 131-148. Springer, Cham, 2021. [Scopus, Core rank: B] 
  12. Nasalwai, Nikhil, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function.” In 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 390-402. Springer, Cham, 2021. [Scopus, Core rank: A]
  13. Dandekar, Mohit, Narinder Singh, Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Fruit classification using deep feature maps in the presence of deceptive similar classes.” In International Joint Conference on Neural Networks (IJCNN), pp. 1-6. IEEE, 2021. [Scopus, Core rank: B]
  14. Chowdary, G. Jignesh, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Face mask detection using transfer learning of inceptionv3.” In 8th International Conference on Big Data Analytics (BDA), pp. 81-90. Springer, Cham, 2020. [Scopus]
  15. Punn, Narinder Singh, Sonali Agarwal, Muhammad Syafrullah, and Krisna Adiyarta. “Testing big data application.” In 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), pp. 159-162. IEEE, 2019. [Scopus, h-index: 10]
  16. Punn, Narinder Singh, and Sonali Agarwal. “Crowd analysis for congestion control early warning system on foot over bridge.” In  12th International Conference on Contemporary Computing (IC3), pp. 1-6. IEEE, 2019. [Scopus, h-index: 4]
  17. Punn, Narinder Singh, and Sonali Agarwal. “Testing Concept Drift Detection Technique on Data Stream.” In 6th International Conference on Big Data Analytics (BDA), pp. 89-99. Springer, Cham, 2018. [Scopus]

Book chapter:

  1. Punn, Narinder Singh, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “COVID-19 epidemic analysis using machine learning and deep learning algorithms.” MedRxiv, 2020. (published as book chapter in AI and Data Science – Technology, Innovation & Use Cases in Indonesia 2021, published by PT Accessindo Internusa)

Pre-print/Upcoming:

  1. Deshpande, Kapil, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Anomaly detection in surveillance videos using transformer based attention model.” arXiv preprint arXiv:2206.01524, 2022.
  2. Kumari, Akrity, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Impact of the composition of feature extraction and class sampling in medicare fraud detection.” arXiv preprint arXiv:2206.01413, 2022.
  3. Agarwal, Sonali, Narinder Singh Punn, Sanjay Kumar Sonbhadra, M. Tanveer, P. Nagabhushan, K. K. Pandian, and Praveer Saxena. “Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review.” arXiv preprint arXiv:2005.11507, 2020.
  4. Punn, Narinder Singh, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques.” arXiv preprint arXiv:2005.01385, 2020.

Achievements

Heidelberg Laureate Forum:

  1. Selected among 200 young researchers to meet laureates in mathematics and computer science, and participate in the upcoming 9th Heidelberg Laureate Forum (2022).
  2. Selected among 224 young researchers to meet laureates in mathematics and computer science, and participate in 8th Heidelberg Laureate Forum (2021).
  3. Selected and participated in the Virtual Heidelberg Laureate Forum to meet laureates in mathematics and computer science (2020).

Tutorial:

  1. Delivered a tutorial entitled “Mining Useful Information Via Complex Network Visualization” at the IEEE Visualization & Visual Analytics (IEEE VIS) 2023.
  2. Delivered a tutorial entitled “Explainable AI: Bridging the AI decisions and human trust” at the IEEE International Conference on Big Data (IEEE BigData) 2022.
  3. Delivered a tutorial entitled “Unrevealing Data Correlations with Self-Supervised Learning” at the IEEE Symposium Series on Computational Intelligence (IEEE SSCI) 2022.
  4. Delivered a tutorial on “Target Class Learning for Anomaly/Outlier Detection: a robust strategy” at the 26th International Conference on Pattern Recognition (ICPR) 2022.
  5. Delivered a tutorial on “Software Testing and Quality Assurance for Data Intensive Applications” at the 25th International Conference on Evaluation and Assessment in Software Engineering (EASE) 2022.
  6. Delivered a tutorial on “Unrevealing Data Correlations with Self-Supervised Learning” at the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2022.
  7. Delivered a tutorial on “Biomedical Image Segmentation using Deep Learning” at the 27th International Conference on Database Systems for Advanced Applications (DASFAA) 2022.
  8. Delivered a tutorial on “Software Testing and Quality Assurance for Data Intensive Applications” at the 15th Innovations in Software Engineering Conference (ISEC) 2022.
  9. Delivered a tutorial on “AI techniques to combat COVID-19” at the 28th International Conference on Neural Information Processing (ICONIP) 2021.
  10. Delivered a tutorial on “AI techniques to combat COVID-19” at the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2021.

Honors and awards:

  1. Achieved best paper award for our paper published in the 5th International Conference on Data Management, Analytics and Innovation held online (2021).
  2. Achieved honor and appreciation for securing first position in poster presentation under the category of Masters in Technology at 2nd Researcher’s Day on National Science Day held at Indian Institute of Information Technology Allahabad, India (2019).
  3. Gem award winner for my contribution in webservices development in the field of financial transaction by the “Intellect Design Arena Limited”, Chennai, India (2016).

Short course:

  1. Conducted a four days short course entitled “Unboxing Advancements in Biomedical Image Processing” at the IEEE International Conference on Image Processing (IEEE ICIP) 2023

Talks:

  1. Delivered an expert lecture hosted by the IEEE computer society PSIT student chapter and Department of Basic Sciences and Humanities at our esteemed institution, Pranveer Singh Institute of Technology-Kanpur (2023).
  2. Delivered a hands-on session in the Karyashala on “Machine learning applications for medical imaging” at the ABV-IIITM, India (2023).
  3. Delivered a hands-on session in the Karyashala on “Advanced Workshop on Deep Learning Applications in Imaging Systems” at the ABV-IIITM, India (2023).
  4. Delivered a talk in the Faculty Development Program organized by E&ICT Academy IIT Roorkee and IEEE UP Section at the Galgotias University, India (2022).
  5. Delivered a talk in the International Conference on Computational Mathematics and its Applications, held at Indian Institute of Technology Indore (2019).
  6. Delivered a talk in Distributed Machine Learning for Big Data Workshop held at Universitas Budi Luhur, Jakarta, Indonesia (2019).

Outreach experience:

  1. Participated, presented and reviewed papers in the International Conference on Machine Intelligence and Signal Processing (MISP) held online at National Institute of Technology Arunachal Pradesh, India (2021).
  2. Participated and presented in the 28th International Conference on Neural Information Processing (ICONIP) held online at Indonesia (2021).
  3. Participated and presented in the 3rd International Conference on Machine Intelligence and Signal Processing (MISP) held online at India (2021).
  4. Participated and presented in the 32nd International Conference on Database and Expert Systems Applications, (DEXA) held online at Austria (2021).
  5. Participated and presented in the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held online at India (2021).
  6. Participated and presented in the 5th International Conference on Data Management, Analytics and Innovation (ICDMAI) held online at India (2021).
  7. Participated, presented and member organizing committee in the 9th International Conference on Big Data Analytics (BDA) held at Indian Institute of Information Technology Allahabad, India (2021).
  8. Participated and presented in the 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) held at Indonesia (2019).
  9. Member organizing committee of the International Conference on Machine Intelligence and Signal Processing, held at Indian Institute of Information Technology Allahabad, India (2019).
  10. Participated in Faculty Development Programme on Data Sciences by AICTE Training and Learning Academy held at Indian Institute of Information Technology Allahabad, India (2019).
  11. Participated and presented in the 12th International Conference on Contemporary Computing (IC3) held at Jaypee Institute of Information Technology,  India (2019).
  12. Member organizing committee of IEEE CIS summer school at Indian Institute of Information Technology Allahabad, India (2019).
  13. Participated and presented in the 6th International Conference on Big Data Analytics (BDA) held at India (2018).
  14. Participated in the Global Initiative of Academic Networks (GIAN) course on Parallel and Distributed Data Stream Mining held at Indian Institute of Information Technology Allahabad, India (2017).
  15. Participated in the IEEE 12th International Conference on Industrial and Information Systems (ICIIS) held at Sri Lanka (2017).

Projects/Research assignments:

  1. Accepted project grant of 700,000 under FIG call for a period of two years for the research project entitled “Robust Defense Mechanism Against Adversarial Attacks in Medical Imaging Systems” 23/10/2023 – 23/10/2025.
  2. Member of Technology Enabled Learning Environment (TEAL 2.O) on going project (2020-23) funded under European Union (EU), Erasmus (European Region Action Scheme for the Mobility of University students), Capacity building program.

Events organized:

  1. Organized Karyashala “Advanced Workshop on Deep Learning Applications in Imaging Systems” and “High End Workshop on Machine Learning applications for Medical Imaging” at the ABV-IIITM Gwalior, India(2023).

Other contributions:

  1. Guiding young minds (students) with keen interest towards deep learning technology to achieve their research goals.
  2. Developing tutorials for ease in understanding and hands-on experience with deep learning libraries.
  3. Reviewer in: IEEE Transaction on Multimedia, IEEE Journal of Biomedical and Health Informatics, Elsevier ScienceDirect Biomedical Signal Processing and Control,  Springer Machine Learning, Springer Soft Computing,  Springer Nature Amino Acids, Springer Nature BMC Medical Informatics and Decision Making, NPJ Digital Medicine, MDPI Entropy, PLOS ONE, MISP 2019, MISP 2021, ICONIP 2022.