Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.

• 1. A Real-Time DSP-Based System for Voice Activity Detection and Background Noise Reduction2. Voice Activity Detection Based Home Automation System for Special Needs People3. Speech Recognition using Convolutional Neural Networks4. A Deep Dive into Deep Learning Techniques for solving Spoken Language Identification Problems in Speech Signal processing5. Convolutional Neural Networks for Raw Speech Recognition6. Disambiguating Conflicting Classification Results in AVSR7. Robust Bimodal Hindi speech recognition under adverse noisy conditions8. Speech Disorder Identification Using Artificial Neural Network and Support Vector Machine: A Comparative Study9. Large Scale Data based Audio Scene Analysis10. Automatic Speech to Speech Summarization for Tamil Language

Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.

• 1. A Real-Time DSP-Based System for Voice Activity Detection and Background Noise Reduction2. Voice Activity Detection Based Home Automation System for Special Needs People3. Speech Recognition using Convolutional Neural Networks4. A Deep Dive into Deep Learning Techniques for solving Spoken Language Identification Problems in Speech Signal processing5. Convolutional Neural Networks for Raw Speech Recognition6. Disambiguating Conflicting Classification Results in AVSR7. Robust Bimodal Hindi speech recognition under adverse noisy conditions8. Speech Disorder Identification Using Artificial Neural Network and Support Vector Machine: A Comparative Study9. Large Scale Data based Audio Scene Analysis10. Automatic Speech to Speech Summarization for Tamil Language