Nirmal Kaur | Emotion Recognition | Best Researcher Award

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

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

Publication Profile

Google Scholar

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

Mr. Syed shaheer | Text and Sentiment Analysis | Best Researcher Award

Mr. Syed shaheer | Text and Sentiment Analysis | Best Researcher Award

Mr. Syed shaheer at Hassan Northeast Forestry University, China

 Profile👨‍🎓

🌟 Summary

Mr. Syed Shaheer Hassan is a dedicated forestry student focused on forest fire prevention and sustainable practices. He is actively seeking a PhD position to advance his research on cultivating edible and medicinal fungi and their combustible properties.

🎓 Education

He is currently pursuing a Master’s in Forest Fire Prevention at Northeast Forestry University in Harbin, China, from August 2022 to July 2025, where his research centers on the cultivation of edible and medicinal fungi over understory forest fuels. He completed his Bachelor’s in Forestry and Wildlife Management at the University of Haripur, KPK, Pakistan, in September 2018, and he also holds an Intermediate degree in Science and Mathematics from the National College of Sciences, Mansehra, Pakistan.

💼 Professional Experience

As a volunteer from December 2018 to June 2021 in Mansehra, Pakistan, he contributed to the Billion Tree Tsunami Project and taught at a middle school for two years, fostering community awareness about environmental issues.

🔍 Research Interests

His research interests include the cultivation of edible and medicinal fungi and innovative forest fire prevention techniques that integrate technology and ecological strategies.

💻 Digital Skills

He is proficient in Microsoft Office, Google Drive, R Programming, and various data analysis tools.