MDCWC 2020
22nd to 24th October 2020
MDCWC 2021 (Special Session of ICIAfS 2021) Promotional video
Embedded Files
The first International ONLINE workshop at National Institute of Technology Tiruchirappalli was organized by Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli. It was conducted completely in the virtual mode during 22nd to 24th October 2020. The event was co-ordinated by Dr.E.S.Gopi , Dr.G.Thavasi Raja and Dr.B.Rebekka. The Keynote speakers include the following (a) Prof.K.K.Biswas (Retired professor), Indian Institute of Technology, Delhi, on “Deep Learning” (b) Prof.Emre celebi, Professor and chair of the Department of Computer Science, University of Central Arkansas on “Data Clustering and K-means algorithm” (c)Prof. Dush Nalin Jayakody, Professor, School of Computer Science and Robotics, National Tomsk Polytechnique University, Russia on “Age of Information and Energism on the Future Wireless Networks” (d) Dr. Jithin Jagannath, Director, Marconi- Rosenblatt AI/ML Innovation Lab, New york, USA, on “How will Machine Learning revolutionize wireless communication”. The invited talk include the following (a)Dr.Lakshmanan Nataraj, Senior research sta_, Mayachitra Inc., Santa Barbara, CA, USA on “Detection of GAN Generated Images and Deepfakes”‘ (b) Dr. Lalit Kumar Singh, Scientist, NPCIL-BARC Department of Atomic Energy, Government of India on “Reliability analysis of Safety critical systems using Machine Learning ” (c)Dr.Shyam Lal, Faculty in National Institute of Technology Karnataka on “Deep learning for IOT Applications”‘ (d)Dr.Gaurav Purohit, Scientist, CSIR-CEERI, Pilani on “Intelligent data analytics for prediction of AIR Quality on Pre and Post COVID India Dataset. (e) Mr.Abhinav K Nair, Senior Engineer (R and D), Radisys India Pvt. Ltd. on “6G-Why should we talk about it now?”‘ (f) Mr.Mahammad Shaik, Qualcomm Engineer, Hyderabad on “Computational intelligence for Efficient transmission policy for Energy harvesting and Spectral sensing in Cognitive radio system”. The paper review process was executed using easychair.
All the selected papers (46 papers) were presented under three different tracks (a) Machine learning, Deep learning and Computational intelligence algorithms (MLDLCI) (b) Wireless communication (WC) (c) Mobile data applications (MDA). The selected papers include the topics like Deep learning to predict number of antennas in Massive MIMO setup, Black widow algorithm for AVR system, LSTM for Hotspot detection, GAN to estimate channel co-efficient, Self-interference cancellation in Full duplex system, RF-VLC Underwater communication system, Mobile data applications like SRGAN for super resolution of satellite images, Glaucoma diagonosis from Fundas images, Hyperspectral Image classification, etc. All the selected papers were submitted Springer for getting it published in the Lecture Notes in Electrical Engineering.
MDCWC2020 Programme Schedule
Page updated
Google Sites
Report abuse