Dr. Husanbir Singh Pannu

Dr. Husanbir Singh Pannu

  

Designation:

Assistant Professor

Specialization:

Lecturer

Email:

hspannu@thapar.edu

Education

  • PhD Mathematics, University of North Texas USA (2012) http://www.unt.edu/
    • Concentration - Machine Learning
    • Title - Semi-supervised and self-evolving learning algorithms with application to anomaly detection in Cloud Computing
  • MS Applied Mathematics, California State University Eastbay Hayward USA (2006) http://csueastbay.edu/
  • MTech Computer Engineering, Punjabi University Patiala India http://csepup.ac.in
  • BTech Computer Science and Engineering, Punjabi University Patiala (2003) http://www.punjabiuniversity.ac.in/

Google scholar link

Website link

Trainings

  1. Entrepreneurship and innovation at University of Groningin Netherlands (Feb-March 2018).
  2. Intel sponsored Machine learning workshop using Python (24-28 July 2017) Chandigarh India.

Experience

  1. Faculty @ CSED Thapar University Patiala, India (July 2015 - present)
  2. Staff Programmer Analyst @ California Public Employees Retirement System, USA (April 2013 - March 2015)
  3. Adjunct Faculty @ Sacramento City College Los Rios District, USA (Aug 2013 - Dec 2014)
  4. Teaching Fellow @ University of North Texas, USA (Aug 2006 - May 2012)
  5. Tutor for Blind @ Department of Rehabilitation (DOR) California, USA (Jan 2005 - Dec 2005)

Journal publications

  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. http://www.tandfonline.com/doi/abs/10.1080/13682199.2017.1289629
  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: 1-11. https://link.springer.com/article/10.1007/s00521-017-3181-7
  3. Jain, Khushboo, and Husanbir Singh Pannu. "Autonomic point cloud-based surface reconstruction using SVR." The Imaging Science Journal 66.1 (2018): 59-67. http://www.tandfonline.com/doi/full/10.1080/13682199.2017.1378845
  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. http://www.tandfonline.com/eprint/iMFc24YRfR5re5YMVxXT/full
  5. Pannu, Husanbir S., Dilbag Singh, and Avleen K. Malhi. "Improved Particle Swarm Optimization Based Adaptive Neuro-Fuzzy Inference System for Benzene Detection." CLEAN–Soil, Air, Water 46.5 (2018): 1700162. http://onlinelibrary.wiley.com/doi/10.1002/clen.201700162/full
  6. Kaur, Parminder, and Husanbir Singh Pannu. "Comprehensive review of continuous and discrete orthogonal moments in biometrics." International Journal of Computer Mathematics: Computer Systems Theory (2018): 1-28. https://www.tandfonline.com/doi/abs/10.1080/23799927.2018.1457080

Peer reviewer for Journals

  • Imaging Science Journal - Taylor and Francis
  • Neural Computing and Applications - Springer

International Conference Publications

(outside India)

  1. The digital universe: changing paradigms of e-business in India, IEEE ICEI July 2018, Bangkok Thailand.
  2. AAD: Adaptive anomaly detection system for cloud computing infractures, IEEE SRDS (2012), California USA
  3. SEAD: Self-evolving anomaly detection for developing highly dependable utility clouds, IEEE GLOBECOM (2012) California USA
  4. Adaptive failure detection system for cloud computing infrastructure, IPCCC 2012, Texas USA
  5. A hybrid anomaly detection framework in cloud computing using one-class and two –class SVM, ADMA Springer (2012) China

(in India)

Workshops

Other activities

  1. Machine learning techniques for bleeding detection in capsule endoscopy, HS Pannu, Priyanka Jarial (2017), IEEE ICCMC, Tamil Nadu India
  2. Complete Survey of 3D Model Generation, Khushboo Jain, HS Pannu, ICIIECS'16
  3. A review - Fuzzy Time Series Forecasting Model, Alok Tripathi, HS Pannu, ICIIECS'16
  4. High-order fuzzy time series forecasting model for advance prediction of temperature, Alok Tripathi, HS Pannu, ICICT 2016
  5. Remote Sensing Image Contrast and Brightness Enhancement based on Cuckoo search and DTCWT–SVD, Rishika Mehta, HS Pannu, ICICT 2016
  6. Comparative analysis of continuous and discrete orthogonal moments for face recognition, Parminder Kaur, HS Pannu, ICECA'17
  7. Anomaly detection survey for information security, Harsurinder Kaur, HS Pannu, SIN2017 conference 10th ACM proceedings
  8. Machine learning techniques for bleeding detection in capsule endoscopy, HS Pannu, Priyanka Jarial, IEEE ICCMC 2017
    1. Soft Skills workshop at Thapar University (April 2016) organized
    2. LaTeX Workshop at Guru Nanak College Budhlada (July 2016) organized
    1. Passed Chartered Financial Analyst Exam I (CFA level I) December 2014
    2. Academic excellence scholarship during PhD 2006-2007.
    3. Graduate Aptitude Test for Engineering, conducted by IISc Banglore India (2002) score 95.2 percentile all over India