Assist Prof Dr. Nirmal Kaur | Emotion Recognition | Best Researcher AwardΒ 

Assistant Professor Dr. Nirmal Kaur Department of CSE, UIET, Panjab University, India

Publication Profile

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Summary

Dr. Nirmal Kaur is an Assistant Professor at UIET, Panjab University with 19+ years of teaching experience. Her expertise lies in Machine Learning, Deep Learning, Sentiment Analysis, Distributed Computing, and Cybersecurity. She has been a Principal Investigator for multiple research projects and is deeply involved in academics and mentoring.

Education

πŸŽ“ Ph.D. in Computer Science & Engineering (I.K. Gujral Punjab Technical University, 2017)
πŸŽ“ M.Tech in Computer Science & Engineering (Baba Banda Singh Bahadur Engg. College, 2009)
πŸŽ“ B.Tech in Computer Science & Engineering (Punjabi University, 2003)

Professional Experience

πŸ”Ή Assistant Professor, UIET, Panjab University (2011–Present)
πŸ”Ή Assistant Professor, Bhai Gurdas Institute of Engineering (2005–2011)
πŸ”Ή Assistant Professor, Swami Vivekanand Institute of Engineering (2004–2005)

Academic & Professional Roles

πŸ“œ Board of Studies Member, Panjab University
🀝 Member of multiple university committees
πŸ“ Editor for the book β€œVictimization of Women in Cyber Space” (2023)

Technical Skills

πŸ’» Machine Learning, Deep Learning (Audio/Video Deepfake Detection)
πŸ“Š Sentiment Analysis (Text, Audio, Video, Multimodal)
πŸ” Cybersecurity, Energy Aware Scheduling in Distributed Computing

Teaching Experience

πŸ‘©β€πŸ« 19+ years of teaching
πŸ’‘ Research Guidance for Ph.D. and M.E. students

Research Interests ON Emotion Recognition

πŸ” Machine Learning & Deep Learning (Deepfake Detection, Human Pose Estimation)
πŸ“± Sentiment Analysis (Text, Audio, Video, Multimodal)
πŸ’» Distributed Computing (Energy-Aware Scheduling)
πŸ›‘οΈ Cybersecurity (Women’s Cyber Safety)

Achievements

πŸ… Best Research Award, UIET (2017)
πŸ† Best Paper Award at IC-MISP, NIT Raipur (2022)
πŸŽ“ Scholarship from Punjab Govt. (1997)

Publication Top Notes

Review of audio deepfake detection techniques: Issues and prospects
    • Authors: πŸ§‘β€πŸ”¬ Dixit, Kaur, Kingra
    • Journal: πŸ“š Expert Systems
    • Year: πŸ“… 2023
Emergence of deepfakes and video tampering detection approaches: A survey
    • Authors: πŸ§‘β€πŸ”¬ Kingra, Aggarwal, Kaur
    • Journal: πŸ“š Multimedia Tools and Applications
    • Year: πŸ“… 2022
Major Convolutional Neural Networks in Image Classification: A Survey
    • Authors: πŸ§‘β€πŸ”¬ Kumar, Kaur, Gupta
    • Journal: πŸ“š Proceedings of International Conference on IoT Inclusive Life (ICIIL)
    • Year: πŸ“… 2020
LBPNet: Exploiting texture descriptor for deepfake detection
    • Authors: πŸ§‘β€πŸ”¬ Kingra, Aggarwal, Kaur
    • Journal: πŸ“š Forensic Science International: Digital Investigation
    • Year: πŸ“… 2022
Duplication-controlled static energy-efficient scheduling on multiprocessor computing system
    • Authors: πŸ§‘β€πŸ”¬ Kaur, Bansal, Bansal
    • Journal: πŸ“š Concurrency and Computation: Practice and Experience
    • Year: πŸ“… 2017
A survey of routing protocols in wireless sensor networks
    • Authors: πŸ§‘β€πŸ”¬ Kaur, Verma, Kavita
    • Journal: πŸ“š IJET
    • Year: πŸ“… 2018
Nirmal Kaur | Emotion Recognition | Best Researcher Award

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