CV

Husanbir Singh Pannu (dr.)

Assistant Professor in Computer Science & Engineering Department

Thapar Institute of Engineering & Technology Patiala India

✉ hspannu@thapar.edu  ☎ +91 94780-15397 

CV: https://sites.google.com/a/thapar.edu/hspannu/cv

Google Scholar:    https://scholar.google.com/citations?hl=en&user=DNPuK98AAAAJ

Linkedin: https://www.linkedin.com/in/husanbir-singh-pannu-80337a151/

ORCID: 0000-0002-8375-5235

Research Interests: Machine learning, image and text analysis, medical imaging, optimisation

EDUCATION 

PhD Mathematics, University of North Texas USA  (2012) Concentration - Machine Learning

Title - Semi-supervised and self-evolving learning algorithms with application to anomaly detection in Cloud Computing, Supervisor: Dr. Jianguo Liu

Thesis link - https://digital.library.unt.edu/ark:/67531/metadc177238/

Postdoc Fellow - Trinity College Dublin Ireland (2019), worked with Prof. Khurshid Ahmad for multimodal learning using image and text association.

MTech in Computer Engineering Punjabi University Patiala India (2018)

MS Applied Mathematics, California State University Eastbay Hayward USA (2006) 

BTech Computer Science and Engineering, Punjabi University Patiala India (2003)

EXPERIENCE (15 years in teaching + 2 years corporate)

1.     Assistant Professor @ CSED Thapar Institute Patiala, India (July 2015 - present)

2.     Postdoc at Biochemistry & Systems Biology, University of Liverpool, UK (2022)

3.     Postdoc at SCSS Trinity College Dublin Ireland (2019)

4.     Staff Programmer Analyst, California Public Employees Retirement System CalPERS Sacramento California USA (2013-2015)

5.     Adjunct Faculty Sacramento City College Los Rios District, USA (2013-14)

6.     Teaching Fellow during PhD @ University of North Texas, USA (2006-12) 

7.     Tutor for Blind @ Department of Rehabilitation (DOR) California, USA (2005)

GRANT PROJECTS 

• 1. Seed money grant at Thapar Institute India (2018-20), 4.3 Lac. Title: Design and development of bleeding detection framework for capsule endoscopy images (completed). Outcomes - 1 Masters thesis, 1 SCIE journal publication, 1 Australian conference.

SCIE JOURNAL PUBLICATIONS (28)

• 1. Singh, Dilbag, Deepak Garg, and Husanbir Singh Pannu. "Efficient landsat image fusion using fuzzy and stationary discrete wavelet transform." The Imaging Science Journal 65.2 (2017): 108-114.

  2. Pannu, Husanbir Singh, Dilbag Singh, and Avleen Kaur Malhi. "Multi-objective particle swarm optimization-based adaptive neuro-fuzzy inference system for benzene monitoring." Neural Computing and Applications (2017): 1-11.

  3. Jain, Khushboo, and Husanbir Singh Pannu. "Autonomic point cloud-based surface reconstruction using SVR." The Imaging Science Journal 66.1 (2018): 59-67.

  4. Jain, Khushboo, et al. "Efficient disparity estimation from stereo images using hybrid-guided image filter." The Imaging Science Journal 66.3 (2018): 139-151.

  5. Kaur, Parminder, and Husanbir Singh Pannu. "Comprehensive review of continuous and discrete orthogonal moments in biometrics." International Journal of Computer Mathematics: Computer Systems Theory 3.2 (2018): 64-91.

  6. Kaur, Parminder, Husanbir Singh Pannu, and Avleen Kaur Malhi. "Plant disease recognition using fractional-order Zernike moments and SVM classifier." Neural Computing and Applications (2019): 1-20.

  7. Malhi, Avleen Kaur, Shalini Batra, and Husanbir Singh Pannu. "An Efficient Privacy Preserving Authentication Scheme for Vehicular Communications." Wireless Personal Communications (2019): 1-17.

  8. Kaur, H., Pannu, H. S., & Malhi, A. K. (2019). Multimedia blog volume prediction using adaptive neuro fuzzy inference system and evolutionary algorithms. Multimedia Tools and Applications, 1-35.

  9. Kumar, R., Pannu, H. S., & Malhi, A. K. (2019). Aspect-based sentiment analysis using deep networks and stochastic optimization. Neural Computing and Applications, 1-15.

  10. Kaur, H., & Pannu, H. S. (2019). Zernike moments-based fingerprint recognition using weighted-support vector machine. Modern Physics Letters B, 33(21), 1950245.

  11. Kaur, H., Kaur, G., & Pannu, H. S. (2019). Novel similarity measure-based random forest for fingerprint recognition using dual-tree complex wavelet transform and ring projection. Modern Physics Letters B, 2050022.

  12. Kaur, P., Pannu, H. S., & Malhi, A. K. (2019). Comprehensive Study of Continuous Orthogonal Moments—A Systematic Review. ACM Computing Surveys (CSUR), 52(4), 67.

  13. Kaur, H., Pannu, H. S., & Malhi, A. K. (2019). A Systematic Review on Imbalanced Data Challenges in Machine Learning: Applications and Solutions. ACM Computing Surveys (CSUR), 52(4), 79.

  14. Malhi, A. K., Batra, S., & Pannu, H. S. (2019). Security of Vehicular Ad-hoc Networks: A Comprehensive Survey. Computers & Security, 101664.

  15. Kaur, Harkawalpreet, Avleen Kaur Malhi, and Husanbir Singh Pannu. "Machine learning ensemble for neurological disorders." Neural Computing and Applications (2020): 1-18.

  16. Pannu, Husanbir Singh, et al. "Deep learning based image classification for intestinal hemorrhage." Multimedia Tools and Applications 79.29 (2020): 21941-21966.

  17. Singh, Daljeet, et al. "Development of an adaptive neuro fuzzy inference system based vehicular traffic noise prediction model." Journal of Ambient Intelligence and Humanized Computing (2020): 1-17.

  18. Kaur, P., Pannu, H. S., & Malhi, A. K. (2021) "Comparative analysis on cross-modal information retrieval: A review". Computer Science Review Volume 39, February 2021, 100336.

  19. Bhattacharya, Jhilik, Bhatia, Tarunpreet & Pannu, HS "Improved Search Space Shrinking for Medical Image Retrieval using Capsule Architecture and Decision Fusion", Expert Systems With Applications, Dec 2020.

  20. Behl, S., Rao, A., Aggarwal, S., Chadha, S. & Pannu, H.S., "Twitter for Disaster Relief Through Sentiment Analysis for COVID-19 and Natural Hazard Crises" ,  International Journal of Disaster Risk Reduction, Jan 2021.

  21. Singh, Apoorva, Pannu, HS & Malhi, Avleen, "Explainable Information Retrieval using Deep Learning for Medical images", Computer Science and Information Systems: ComSIS, (accepted Aug 2021)

  22. Kaplun, D.; Krasichkov, A.; Chetyrbok, P.; Oleinikov, N.; Garg, A.; Pannu, H.S. Cancer Cell Profiling Using Image Moments and Neural Networks with Model Agnostic Explainability: A Case Study of Breast Cancer Histopathological (BreakHis) Database. Mathematics 2021, 9, 2616. 

  23. Kaur, Parminder, Avleen Kaur Malhi, and Husanbir Singh Pannu. "Hybrid SOM based cross-modal retrieval exploiting Hebbian learning." Knowledge-Based Systems (2021): 108014.

  24. Bhullar, Gurman, et al. "Time series sentiment analysis (SA) of relief operations using social media (SM) platform for efficient resource management." International Journal of Disaster Risk Reduction (2022): 102979.

  25. Malhi, Avleen, Reaya Grewal, and Husanbir Singh Pannu. "Detection and diabetic retinopathy grading using digital retinal images." International Journal of Intelligent Robotics and Applications (2023): 1-33.

  26. Kaur, Parminder, Avleen Kaur Malhi, and Husanbir Singh Pannu. "Sentiment analysis of linguistic cues to assist medical image classification." Multimedia Tools and Applications (2023): 1-20. 

  27. Kaur, Parminder, Avleen Malhi, and Husanbir Pannu. "Annotate and retrieve in vivo images using hybrid self-organizing map." The Visual Computer (2023): 1-20.

  28. Avantika Saklani, Shailendra Tiwari and H.S Pannu, "Ameliorating multimodal food classification using state of the art deep learning techniques", Multimedia Tools and Applications (2023) 

CONFERENCES HELD OUTSIDE INDIA (16)

1. Pannu, Husanbir S., Jianguo Liu, and Song Fu. "Aad: Adaptive anomaly detection system for cloud computing infrastructures." 2012 IEEE 31st Symposium on Reliable Distributed Systems. IEEE, 2012. USA 

2. Pannu, Husanbir S., Jianguo Liu, and Song Fu. "A self-evolving anomaly detection framework for developing highly dependable utility clouds." 2012 IEEE Global Communications Conference (GLOBECOM). IEEE, 2012. USA 

3. Fu, Song, Jianguo Liu, and Husanbir Pannu. "A hybrid anomaly detection framework in cloud computing using one-class and two-class support vector machines." International conference on advanced data mining and applications. Springer, Berlin, Heidelberg, 2012. 

4. Pannu, Husanbir S., et al. "AFD: Adaptive failure detection system for cloud computing infrastructures." 2012 IEEE 31st International Performance Computing and Communications Conference (IPCCC). IEEE, 2012. 

5. Pannu, Husanbir Singh, and Alok Tripathi. "High-order fuzzy time series forecasting model for advance prediction of temperature." 2016 International Conference on Inventive Computation Technologies (ICICT). Vol. 2. IEEE, 2016. 

6. Mehta, Rishika, Dilbag Singh Gill, and Husanbir Singh Pannu. "Remote sensing image contrast and brightness enhancement based on Cuckoo search and DTCWT-SVD." 2016 International Conference on Inventive Computation Technologies (ICICT). Vol. 3. IEEE, 2016. 

7. Kaur, Parminder, and Husanbir Singh Pannu. "Comparative analysis of continuous and discrete orthogonal moments for face recognition." 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA). Vol. 1. IEEE, 2017. 

8. Kaur, Harsurinder, and Husanbir Singh Pannu. "Anomaly detection survey for information security." Proceedings of the 10th International Conference on Security of Information and Networks. 2017. 

9. Pannu, Husanbir Singh, and Priyanka Jarial. "Machine learning techniques for bleeding detection in capsule endoscopy." 2017 International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2017. 

10. Malhi, Avleen Kaur, Husanbir Singh Pannu, and Anupam Sharma. "The Digital Universe: Changing Paradigms of E-Business in India." 2018 2nd International Conference on Engineering Innovation (ICEI). IEEE, 2018. 

11. Pannu, Husanbir Singh, and Anupam Sharma. "The Digital Universe: Changing Paradigms of E-Business in India." 2018 2nd International Conference on Engineering Innovation (ICEI). IEEE, 2018, Bangkok Thailand 

12. Kaur, Harsurinder, and Husanbir Singh Pannu. "Blog response volume prediction using adaptive neuro fuzzy inference system." 2018 9th international conference on computing, communication and networking technologies (ICCCNT). IEEE, 2018. 

13. MALHI, Avleen, KAMPIK, Timotheus, PANNU, Husanbir Singh, MADHIKERMI, Manik, FRÄMLING, Kary. Explaining Machine Learning based Classifications of in-vivo Gastral Images. To appear: 21st International Conference on Digital Image Computing: Techniques and Applications (DICTA 2019), Perth, Australia 

14. Singh, Mandeep, Pannu, HS, and Avleen Malhi. "Deep learning-based explainable target classification for synthetic aperture radar images." 2020 13th International Conference on Human System Interaction (HSI). IEEE, 2020. Japan

15.   Daljeet Singh, Priyal Kaler, Ishita Lyall, Aekamjot Singh and HS Pannu, "Traffic noise prediction using machine learning and monte carlo data augmentation: a case study on the Patiala city in India.", Journal of Physics: Conference Series, Volume 2162, 5th International Conference on Applied Physics, Simulation and Computing (APSAC 2021) 3-5 September 2021, Salerno, Italy Citation Daljeet Singh et al 2022 J. Phys.: Conf. Ser. 2162 012021, Published under licence by IOP Publishing Ltd.

16.  Mandeep, Agarwal, Abhishek, Amrita Bhatia, Avleen Malhi, Priyal Kaler, and Husanbir Singh Pannu. "Machine Learning Based Explainable Financial Forecasting." In 2022 4th International Conference on Computer Communication and the Internet (ICCCI), pp. 34-38. IEEE, 2022. JAPAN

PATENTS (1) 

Title: System and method of monitoring and preventing the spread of infectious virus (Published) Application number 202111031883 Country: India Researchers: Harjeet Singh, Harpreet Kaur, Husanbir Singh Pannu

PHD SUPERVISION (2 completed + 1 ongoing)

1. Harinder Kaur at Sri Guru Granth Sahib World University Fatehgarh Sahib India (2014-2021). Title - Fingerprint recognition using moments and transforms. (completed)

2. Parminder Kaur at CSED Thapar Institute India (2019-2022). Title - A cross modal system for image annotation and retrieval. (completed Nov 2023)

3. Avantika Saklani at CSED Thapar Institute India (2020-2024), Title - Multimodal machine learning for efficient information retrieval: step into next generation computing (ongoing)

MASTER'S THESIS SUPERVISION (10)

• 1. Khushboo Jain -Stereo Matching Based Estimation of Depth Map from Stereo Image Pair (2016)

  2. Rishika Mehta - DTCWT-SVD based Image Contrast Enhancement using Cuckoo Search (2016)

  3. Alok Tripathi - Modelling and Forecasting of Time Series Data Set using Fuzzy Set (2016)

  4. Dimple Mittal - Image resolution enhancement of single color image (2016)

  5. Ravindra Kumar - Aspect Based Sentiment Analysis Using the Deep Learning Convolutional Neural Networks (2017)

  6. Rachik Sharma - Classification of colored retinal images for diabetic retinopathy using HOG features (2017)

  7. Parminder Kaur - Plant disease recognition using fractional-order Zernike moments and SVM classifier (2017)

  8. Harsurinder Kaur Grewal - Blog response volume prediction using Adaptive Neuro Fuzzy Inference System (2018)

  9. Apoorva Singh - Automatic Bleeding Detection in Wireless Capsule Endoscopy Images (2019)

  10. Keshav Mehta - Reinforcement Learning and its Applications in Gaming (2021-22) 

INVITED TALKS

• 1. Keynote - INISTA 2020 International Conference on INnovations in Intelligent SysTems and Applications Technically Co-Sponsored by the IEEE SMC Society August 24-26, 2020, Novi Sad, Serbia

  2. Keynote - International Conference On Mathematics And Its Applications In New Computer Systems (Mancs 2021) 15-17 December 2021, Stavropol, Russia

TRAININGS & OTHER

• 1. Entrepreneurship and innovation at University of Groningen Netherlands (Feb-Mar 2018) 

  2. Intel sponsored Machine learning workshop using Python, NITTTR Chandigarh India (24-28 July 2017) 

  3. Passed CFA level I exam, San Francisco California USA (Dec 2014)

  4. Pedagogy courses: (1 semester) at University of North Texas, Denton USA (Fall 2006); CAPSL (Centre for Academic Practices and Student Learning) training (2020-21) at Thapar Institute set up by Trinity College Dublin Ireland curriculum.