Narinder Singh Punn

Research Scholar

Indian Institute of Information Technology Allahabad,

Prayagraj, Uttar Pradesh, India

Email: [email protected] / [email protected]

Recent Activities

  1. Our paper entitled “Recommending best course of treatment based on similarities of prognostic markers” is accepted at 28th International Conference on Neural Information Processing (ICONIP) of the Asia-Pacific Neural Network Society 2021.
  2. Our paper entitled “White blood cell subtype detection and classification” is accepted at the 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) 2021.
  3. Attended International Joint Conference on Neural Networks (IJCNN) 2021 on a virtual platform.
  4. Participated in the “Digital 8th Heidelberg Laureate Forum” 2021.
  5. A tutorial entitled “A tutorial on AI techniques to combat COVID-19” is accepted at the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2021.
  6. Working as a website administrator for the international conference on Big Data Analytics 2021.
  7. Our paper entitled “BERT based sentiment analysis: A software engineering perspective” is accepted for publication in the 32th International Conference on Database and Expert Systems Applications 2021.
  8. Our paper entitled “Machine learning equipped web based disease prediction and recommender system” is accepted for publication in the International Conference on Machine Intelligence and Signal Processing 2021.

Brief Biography

My name is Narinder Singh Punn and I am currently a research scholar at Indian Institute of Information Technology Allahabad (IIITA), Prayagraj, India under the supervision of Dr. Sonali Agarwal. I completed by Bachelor’s degree in computer science and engineering from National Institute of Technology Hamirpur (NITH) in 2015. I have 2 years of experience as software developer at Intellect Design Arena Ltd., Chennai, India. Later, I joined in a dual degree program of IIITA in 2017 where I completed my Master’s degree in Software Engineering discipline and started my PhD in 2019.

I am always fascinated about the potential of machine learning and deep learning algorithms, and hence follows my research interest. In the period of my on-going study we have published papers in international journals, conferences and pre-print servers which also includes our findings on the COVID-19 crisis. We have been actively working on the COVID-19 related research and more.

Publications

Pre-print/Upcoming:

  1. Punn, Narinder Singh, and Sonali Agarwal. “Modality specific U-Net variants for biomedical image segmentation: A survey.” arXiv preprint arXiv:2107.04537 (2021).
  2. Rajput, Gaurav, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Hate speech detection using static BERT embeddings.” arXiv preprint arXiv:2106.15537 (2021).
  3. Gupta, Sachin, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “MAG-Net:Multi-task attention Guided Network for Brain Tumor Classification & Segmentation.” arXiv preprint arXiv:2107.12321 (2021)
  4. Punn, Narinder Singh, and Sonali Agarwal. “CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images.” arXiv preprint arXiv:2012.07079 (2020).
  5. 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).
  6. 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).

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)

Conference:

  1. Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Recommending best course of treatment based on similarities of prognostic markers.” arXiv preprint arXiv: 2107.07500 (2021). (accepted in ICONIP 2021)
  2. Rajora, Harish, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Machine learning equipped web based disease prediction and recommender system.” arXiv preprint arXiv:2106.02813 (2021). (accepted in MISP 2021)
  3. Batra, Himanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “BERT based sentiment analysis: A software engineering perspective.” arXiv preprint arXiv:2106.02581 (2021) (accepted in DEXA 2021).
  4. Nasalwai, Nikhil, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, “Addressing the Class Imbalance Problem in Medical Image Segmentation via Accelerated Tversky Loss Function”. In Advances in Knowledge Discovery and Data Mining. PAKDD 2021. Lecture Notes in Computer Science, vol 12714. Springer, Cham.
  5. Dandekar, Mohit, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Fruit classification using deep feature maps in the presence of deceptive similar classes.” arXiv preprint arXiv:2007.05942 (2020) (accepted in IJCNN 2021).
  6. Sumanth, Uppala, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning.” arXiv preprint arXiv:2007.05740 (2020). (accepted in ICDMAI 2021)
  7. Chowdary, G. Jignesh, Narinder Singh Punn, Sanjay Kumar Sonbhadra, and Sonali Agarwal. “Face mask detection using transfer learning of inceptionv3.” In International Conference on Big Data Analytics, pp. 81-90. Springer, Cham, 2020.
  8. Punn, Narinder Singh, Sonali Agarwal, Muhammad Syafrullah, and Krisna Adiyarta. “Testing big data application.” In 2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), pp. 159-162. IEEE, 2019.
  9. Punn, Narinder Singh, and Sonali Agarwal. “Crowd analysis for congestion control early warning system on foot over bridge.” In 2019 Twelfth International Conference on Contemporary Computing (IC3), pp. 1-6. IEEE, 2019.
  10. Punn, Narinder Singh, and Sonali Agarwal. “Testing Concept Drift Detection Technique on Data Stream.” In International Conference on Big Data Analytics, pp. 89-99. Springer, Cham, (2018).

Journal:

  1. 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.
  2. 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 (2020): 1-16.
  3. 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

Achievements

Events organized/attended at IIITA:

  1. Member organizing committee of the upcoming international conference on Big Data Analytics 2021 and website manager. (2021)
  2. Participated in Faculty Development Programme on Data Sciences by AICTE Training and Learning Academy held at Indian Institute of Information Technology Allahabad, India (2019).
  3. Participated in the International Conference on Machine Intelligence and Signal Processing, held at Indian Institute of Information Technology Allahabad, India (2019).
  4. Participated in Faculty Development Programme on Data Sciences by AICTE Training and Learning Academy held at Indian Institute of Information Technology Allahabad, India (2019).
  5. 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).
  6. Member organizing committee of IEEE CIS summer school at Indian Institute of Information Technology Allahabad, India (2019).

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).

Talks:

  1. Delivered a talk in the International Conference on Computational Mathematics and its Applications, held at Indian Institute of Technology Indore (2019).
  2. Invited as speaker in Distributed Machine Learning for Big Data Workshop held at Universitas Budi Luhur, Jakarta, Indonesia (2019).

Outreach experience:

  1. Participated in the “8th Heidelberg Laureate Forum” (2021).
  2. Participated in the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held online by International Institute of Information Technology Hyderabad and Jawaharlal Nehru University (2021).
  3. Participated and presented in the 5th International Conference on Data Management, Analytics and Innovation held online. (2021)
  4. Participated in the Virtual Heidelberg Laureate Forum (2020).
  5. Presented at 6th International Conference on Electrical Engineering, Computer Science and Informatics held at Bandung, Indonesia (2019).
  6. Participated and presented at 12th International Conference on Contemporary Computing (IC3) held at Jaypee Institute of Information Technology, Noida, India (2019).
  7. Presented and participated in the 6th International Conference on Big Data Analytics (BDA) held at National Institute of Technology Warangal, India (2018).
  8. Participated at the IEEE 12th International Conference on Industrial and Information Systems (ICIIS) held at University of Peradeniya, Sri Lanka (2017).

Projects/Research assignments:

  1. 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.

Tutorial:

  1. Delivered a tutorial on “AI techniques to combat COVID-19” at the 8th IEEE International Conference on Data Science and Advanced Analytics 2021.

Other contributions:

  1. Active member of research group, Big Data Analytics lab at Indian Institute of Information Technology Allahabad, India.
  2. Guiding young minds (students) with keen interest towards deep learning technology to achieve their research goals.
  3. Developing tutorials for ease in understanding and hands-on experience with deep learning libraries.