PAPERS PUBLISHED:
International Journals:
Chaudhary, G., Lamba, P. S., Jolly, H. S., Poply, S., Khari, M., & Verdú, E. (2021). Predictive text analysis using eye blinks. Computers & Electrical Engineering, 96, 107554. (SCI INDEXED)
Lamba, Puneet & Virmani, Dr. Deepali & S Pillai, Manu & Chaudhary, Gopal. (2021). Multimodal Human Eye Blink Recognition Using Z-score Based Thresholding and Weighted Features. International Journal of Interactive Multimedia and Artificial Intelligence. In Press. 10.9781/ijimai.2021.11.002. (SCI INDEXED)
Lamba, P. S., Virmani, D., & Castillo, O. (2020). Multimodal human eye blink recognition method using feature level fusion for exigency detection. Soft Computing, 24(22), 16829-16845. (SCI INDEXED)
Lamba, P. S., & Virmani, D. (2020). Contactless heart rate estimation from face videos. Journal of Statistics and Management Systems, 23(7), 1275-1284. (ESCI INDEXED)
Vishal, D., Takkar, B., & Lamba, P. S. (2020). Micro-expression recognition using 3D–CNN. Fusion: Practice and Applications, 1(1), 5-13.
Jain, V., Lamba, P. S., Singh, B., Namboothiri, N., & Dhall, S. (2019). Facial expression recognition using feature level fusion. Journal of Discrete Mathematical Sciences and Cryptography, 22(2), 337-350. (ESCI INDEXED)
Lamba, P. S., & Virmani, D. (2019). Information retrieval from facial expression using voting to assert exigency. Journal of Discrete Mathematical Sciences and Cryptography, 22(2), 177-190. (ESCI INDEXED)
Singh, P., & Lamba, P. S. (2019). Influence of crowdsourcing, popularity and previous year statistics in market value estimation of football players. Journal of Discrete Mathematical Sciences and Cryptography, 22(2), 113-126. (ESCI INDEXED)
Lamba, P. S., & Virmani, D. (2018). Information Retrieval from Emotions and Eye Blinks with help of Sensor Nodes. International Journal of Electrical & Computer Engineering (2088-8708), 8(4). (SCOPUS INDEXED)
Lamba, P. S., & Virmani, D. (2018). Reckoning number of eye blinks using eye facet correlation for exigency detection. Journal of Intelligent & Fuzzy Systems, 35(5), 5279-5286. (SCI INDEXED) (Best Paper Award)
International Conference:
Lamba, P. S., & Virmani, D. (2021). CNN-LSTM-Based Facial Expression Recognition. In Proceedings of 3rd International Conference on Computing Informatics and Networks: ICCIN 2020 (pp. 379-389). Springer Singapore. (Best Paper Award)
Lamba, P. S., & Virmani, D. (2021). DCNN-Based Facial Expression Recognition Using Transfer Learning. In Proceedings of International Conference on Artificial Intelligence and Applications (pp. 509-520). Springer, Singapore.
Puneet Singh “Comparative study of congestion control mechanism of various TCP variants using Ns2”, Published in National Conference on “Current Scenario & Emerging Trends in Information Technology“ held at MSIT (march 09,2013).
Puneet Singh, Inderpreet Singh, Amandeep Singh. “Study and Simulation of Networks using OMNET++”, Proceedings of the Third National Conference on Computing Concepts in Current Trends, (2012), pp.150-154.
Puneet Singh, Inderpreet Singh, Amandeep Singh. “Comparative Study of DSR and WRP Ad Hoc Networks”, National Conference on Advanced Communication Trends, (2012), pp. 282-285
Book Chapters:
Rathi, P., Sharma, R., Singal, P., Lamba, P. S., Chaudhary, G., & Al-Turjman, F. (2020). Micro-Expression Recognition Using 3D-CNN Layering. In AI-Powered IoT for COVID-19 (pp. 123-140). CRC Press.
Jain, R., Bhardwaj, V., Tyagi, V., Lamba, P. S., Chaudhary, G., & Al-Turjman, F. (2020). IoT-Based Micro-Expression Recognition for Nervousness Detection in COVID-Like Condition. In AI-Powered IoT for COVID-19 (pp. 93-104). CRC Press.
Mohta R., Singla R., Thareja P., Lamba P.S. (2021) Micro-expression Detection Using Main Directional Maximal Differential Analysis (MDMD) Method. In: Srivastava S., Khari M., Gonzalez Crespo R., Chaudhary G., Arora P. (eds) Concepts and Real-Time Applications of Deep Learning. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-76167-7_5
Singh P.K., Upadhyay M., Gupta A., Lamba P.S. (2021) CNN-Based Driver Drowsiness Detection System. In: Srivastava S., Khari M., Gonzalez Crespo R., Chaudhary G., Arora P. (eds) Concepts and Real-Time Applications of Deep Learning. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-76167-7_10