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

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

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

Professional Experience

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

Academic & Professional Roles

Board of Studies Member, Panjab University
Member of multiple university committees
Editor for the book “Victimization of Women in Cyber Space” (2023)

Technical Skills

Machine Learning, Deep Learning (Audio/Video Deepfake Detection)
Sentiment Analysis (Text, Audio, Video, Multimodal)
Cybersecurity, Energy Aware Scheduling in Distributed Computing

Teaching Experience

19+ years of teaching
Research Guidance for Ph.D. and M.E. students

Research Interests ON Emotion Recognition

Machine Learning & Deep Learning (Deepfake Detection, Human Pose Estimation)
Sentiment Analysis (Text, Audio, Video, Multimodal)
Distributed Computing (Energy-Aware Scheduling)
Cybersecurity (Women’s Cyber Safety)

Achievements

Best Research Award, UIET (2017)
Best Paper Award at IC-MISP, NIT Raipur (2022)
Scholarship from Punjab Govt. (1997)

Publication Top Notes

Review of audio deepfake detection techniques: Issues and prospects

• • Authors: Dixit, Kaur, Kingra
  • Journal: Expert Systems
  • Year: 2023

Emergence of deepfakes and video tampering detection approaches: A survey

• • Authors: Kingra, Aggarwal, Kaur
  • Journal: Multimedia Tools and Applications
  • Year: 2022

Major Convolutional Neural Networks in Image Classification: A Survey

• • Authors: Kumar, Kaur, Gupta
  • Journal: Proceedings of International Conference on IoT Inclusive Life (ICIIL)
  • Year: 2020

LBPNet: Exploiting texture descriptor for deepfake detection

• • Authors: Kingra, Aggarwal, Kaur
  • Journal: Forensic Science International: Digital Investigation
  • Year: 2022

Duplication-controlled static energy-efficient scheduling on multiprocessor computing system

• • Authors: Kaur, Bansal, Bansal
  • Journal: Concurrency and Computation: Practice and Experience
  • Year: 2017

A survey of routing protocols in wireless sensor networks

• • Authors: Kaur, Verma, Kavita
  • Journal: IJET
  • Year: 2018