Specialization

Signal Processing and Machine Learning

Email

Jyoti.maggu@thapar.edu

Education
•    PhD in Computer Science and engineering, from Indraprastha Institute of Information Technology, New Delhi (2016-2019).
•    M. Tech in Computer Science and engineering from University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra (2013-2015)
•    B. Tech in Computer Science and engineering from University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra (2009-2013)
Training
•    Certified in Building Transformer-Based Natural Language Processing Applications by NVIDIA DLI.
•    Attended one-week FDP “Data Science Tools” at JIIT Noida.
•    Attended one-week Online Joint Faculty Development Programme on “Machine Learning Application in Signal Processing and Communication Engineering” jointly organized by Electronics and ICT Academies under the “Scheme of financial assistance for setting up of Electronics and ICT Academies” of the Ministry of Electronics and Information Technology (MeitY), Government of India.
Experience
1.    Assistant Professor, Computer Science Department, Thapar University Patiala, India (June 2022 - present)
2.    Assistant Professor, CS/IT Department, Jaypee Institute of Information Technology, Noida, India (June 2021 – June 2022)
3.    Research Intern, A3SI, LIGM, Université de Paris, Paris, France (March 2018- May 2018)
4.    Assistant Professor, University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, India (October 2015- February 2016)

Journal publications
1    “Deeply Transformed Subspace Clustering”, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Signal Processing, 2020.
2    “Transformed Subspace Clustering”, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, IEEE Transactions on Knowledge and Data Engineering, 2020.
3    “DeConFuse: A Deep Convolutional Transform based Unsupervised Fusion Framework”, Pooja Gupta; Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia, EURASIP Journal on Advances in Signal Processing, 2020.
4    “Label Consistent Transform Learning for Hyper-spectral Image Classification”, Hemant Kumar Aggarwal, Jyoti Maggu, Angshul Majumdar, IEEE Geoscience and Remote Sensing Letters, 2019.
5    “Simultaneous detection of multiple appliances from smart-meter measurements via multi-label consistent deep dictionary learning and deep transform learning”, Vanika Singhal, Jyoti Maggu, Angshul Majumdar, IEEE Transactions on Smart Grid, 2018.
6    “Multi-echo reconstruction from partial K-space scans via adaptively learnt basis”, Jyoti Maggu, Prerna Singh, Angshul Majumdar, Magnetic Resonance Imaging, 2018.
7    “Kernel Transform Learning”, Jyoti Maggu, Angshul Majumdar, Pattern Recognition Letters, 2017.
8    “Comparison of Various Similarity Measure Techniques for Generating Recommendations for E-commerce Sites and Social Websites”, Jyoti Maggu, Sanjeev Dhawan, Kulvinder Singh, AIJRSTEM, International Association of Scientific Innovation and Research (IASIR), USA, 2015
9    “A Naïve Algorithmic Approach for Detection of Users’ with Unusual Behavior in online Social Networks”, Pran Dev, Jyoti Maggu, Sanjeev Dhawan, Kulvinder Singh, International Journal of Software and Web Sciences, International Association of Scientific Innovation and Research (IASIR), USA, 2015

Conferences:
1    “FILM.LrTL: FusIng MuLtiFocus IMages using Low-rank Transform Learning”, Jyoti Maggu, Jaspal Kaur Saini, Pratishtha Verma, International Conference on Informatics, JIIT Noida, 2022. 
2    “Transductive Inversion via Deep Transform Learning,” Jyoti Maggu, Shalini Sharma, Angshul Majumdar, Accepted in 30th European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, 2022.
3    “Deep Convolutional Transform Learning”, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia, IEEE International Conference on Neural Information Processing (ICONIP), Bangkok, Thailand, 2020.
4    “Multi-label Consistent Convolutional Transform Learning: Application to Non-intrusive Load Monitoring”, Shikha Singh, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020.
5    “ConFuse: Convolutional Transform Learning Fusion Framework for Multi-channel Data Analysis”, Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia, European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2020.
6    “Supervised Kernel Transform Learning”, Jyoti Maggu, Angshul Majumdar, IEEE International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019.
7    “Convolutional Transform learning”, Jyoti Maggu, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar, International Conference on Neural Information Processing (ICONIP), Springer, Siem Reap, Cambodia, 2018.
8    “Semi- Coupled Transform Learning”, Jyoti Maggu, Angshul Majumdar, International Conference on Neural Information Processing (ICONIP), Siem Reap, Cambodia, 2018.
9    “Transformed Locally Linear Manifold Clustering”, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, IEEE 26th European Signal Processing Conference (EUSIPCO), Rome, Italy, 2018.
10    “Unsupervised Deep transform Learning”, Jyoti Maggu, Angshul Majumdar, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, 2018.
11    “Impulse Denoising via Transform Learning”, Jyoti Maggu, Ramy Hussein, Angshul Majumdar and Rabab Ward, IEEE Global Conference on Signal and Information Processing, Montreal, Canada, 2017.
12    “Greedy Deep Transform Learning”, Jyoti Maggu, Angshul Majumdar, IEEE International Conference on Image Processing (ICIP), Beijing, China, 2017.
13    “Robust Transform Learning”, Jyoti Maggu, Angshul Majumdar, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 2017.
14    “Alternate formulation for transform learning”, Jyoti Maggu, Angshul Majumdar, Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP), IIT Guwahati, 2016.
15    “High Rating Recent Preferences Based Recommendation System”, Jyoti Maggu, Sanjeev Dhawan, Kulvinder Singh, Proceedings of the 4th International Conference on Eco-friendly Computing and Communication Systems, ACM, NIT Kurukshetra, 2015.
16    “Analysing user ratings for classifying online movie data using various classifiers to generate recommendations”, Jyoti Maggu, Sanjeev Dhawan, Kulvinder Singh, 2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), IEEE, 2015. 
17    “Automotive Tools for Making Effective Recommendations for E- commerce Websites: An In-Depth Comparative Study”, Jyoti Maggu, Pran Dev, Sanjeev Dhawan, Kulvinder Singh, National Conference on Advances in Engineering, Technology & Management, IOSR Journal of Computer Engineering, 2015.
18    “A Pragmatic Analysis to Detect Escalating Implicit Behaviour in Online Social Websites”, Jyoti Maggu, Pran Dev, Sanjeev Dhawan, Kulvinder Singh, National Conference on Advances in Engineering, Technology & Management, IOSR Journal of Computer Engineering, 2015.
Others
•    UGC NET-JRF qualified in Computer Science
•    GATE 2013, 2014, 2015 qualified in CSE
•    Gold Medalist and University topper in M.Tech
•    Course Topper in Machine Learning (1st sem) in Ph.D. at IIIT Delhi
•    Invited Speaker at CVN (Centre de Vision Numerique), Universite de Paris. Title of talk: Deep Dictionary Learning and Transform Learning.
•    Invited Speaker at Algorithmes, Architectures, Analyse et Synthese d’images (A3SI) du Laboratoire d’Informatique Garpard Monge (LIGM),  Unité Mixte de Recherche de l'Université Paris Est, ESIEE PARIS.  Title of talk: “From Compressed Sensing to Deep Transform Learning”
•    Session Manager at ICI 2022.
•    Expert talk at DST 2022 FDP by JIIT Noida