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  9. Dr. Monalisa Ghosh

Dr. Monalisa Ghosh

Designation: Assistant Professor

Biography:

Dr. Monalisa Ghosh is currently working as Assistant Professor in ICT at Adani University. Prior to this, she worked as Associate Professor in CSE at IEM, Kolkata. She completed her Ph.D. from IIT Kharagpur, B.Tech. (in ECE) and M.Tech. from IIIT Bhubaneswar. Her research interests are in the area of wireless networks and systems. Particularly, she is involved in designing efficient algorithms/schemes for next generation (5G/6G) networks. These primarily include: user-centric and efficient multimedia transmission, adaptive multimedia broadcast schemes and technologies, QoE based multimedia streaming, VR/AR (Metaverse), IoT, UAV networks, and channel estimation in MIMO-OFDM communication.

  • Ph.D.-IIT Kharagpur
  • M.Tech.-IIIT Bhubaneswar
  • B.Tech.-IIIT Bhubaneswar

  • Assistant Professor (ICT) at Adani University (July, 2024-present)
  • Associate Professor (CSE) at IEM Kolkata (1 year)

  • Multimedia communication
  • AR/VR
  • IoT
  • Machine Learning
  • Image and video processing

  1. Monalisa Ghosh and Chetna Singhal, “MO-QoE: A MultiFeature Fusion Based Optimized Learning Models for Video QoE”, in Signal Processing: Image Communication, Elsevier, pp. 116766, 2022. https://doi.org/10.1016/j.image.2022.116766
  1. Monalisa Ghosh and Chetna Singhal, “A review on Machine Learning based User-Centric Multimedia Streaming Techniques”, in Computer Communications, Elsevier, pp. 108011, 2025. https://doi.org/10.1016/j.comcom.2024.108011
  1. Venkata Phani Kumar, Monalisa Ghosh, and Sudipta Mohapatra, “No-Reference Video Quality Assessment from Artifacts and Content Characteristics: A Neuro-Fuzzy Framework for Video Quality Evaluation”, Multimedia Tools and Applications, Springer, pp. 48049-48074, 2024. https://doi.org/10.1007/s11042-023-17228-2
  2. S. Baraha, B. S. Kumar, A. Mishra, Abhijit & M. Ghosh, “CNN-Augmented SAR Image Despeckling using Modified Speckle Reducing Anisotropic Diffusion and Discrete Wavelet Transform”, Signal Processing: Image Communications, Elsevier, pp. 117380, Oct., 2025. https://doi.org/10.1016/j.image.2025.117380

 

  1. Monalisa Ghosh, S. Saha, S. Gorai, and S. Baraha, ” SmartHealth: Machine Learning based Smart Diabetes Prediction in an IoT System,” accepted in IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, March, 2024.
  1. Monalisa Ghosh, D.De, L. Ananad, S. Baraha, “R-SLR: Real-time Sign Language Recognition System,” in IEEE Artificial Intelligence for Internet Of Things (AIIOT), 2024.
  1. Baraha, S. P. Chegondi, A. Singh, and Monalisa Ghosh, “A modified DNN Architecture for Enhanced Change Detection in SAR Images,” in IEEE Artificial Intelligence for Internet Of Things (AIIOT), 2024 (Accepted).
  1. Chetna Singhal, Monalisa Ghosh, H. Mittal, P. Dewangan, “MAIVS: Machine Learning based Adaptive UHD 360-degree Immersive Video Streaming”, IEEE International Conference on Communications (ICC) Workshop MetaNC, Italy, Jun. 2023. https://doi.org/10.1109/ICCWorkshops57953.2023.10283691
  1. Monalisa Ghosh, R. Wayal and C. Singhal, “DeSVQ: Deep Learning Based Streaming Video QoE Estimation”, in 23rd International Conference on Distributed Computing and Networking (ICDCN),pp. 19-25, 2022. https://doi.org/10.1145/3491003.3491023
  1. Monalisa Ghosh and C. Singhal, “M-3R: A Memory Based Approach for Streaming QoE Prediction under 3R settings,” in IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 432-437, 2021. 10.1109/ANTS52808.2021.9936944
  1. Monalisa Ghosh, Anubhav and C. Singhal, “DA-TV: Dynamic Adaptive Television Broadcast for Mobile Users,” in International Conference on COMmunication Systems & NETworkS (COMSNETS), pp. 137-143, 2020. 10.1109/COMSNETS48256.2020.9027462
  1. Kumar, Monalisa Ghosh and C. Singhal, “UAV Network for Surveillance of Inaccessible Regions with Zero Blind Spots,” IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 1213-1218, 2020. 10.1109/INFOCOMWKSHPS50562.2020.9162686
  1. Monalisa Ghosh, C. Srinivasarao and H. K. Sahoo, “Adaptive channel estimation in MIMO-OFDM for indoor and outdoor environments,” IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 2743-2747, 2017. 10.1109/WiSPNET.2017.8300262
  1. M.Dhal, Monalisa Ghosh, P. Goel, A. Kar, S. Mohapatra and M. Chandra, “An unique adaptive noise canceller with advanced variable-step BLMS algorithm,” in IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 178-183, 2015. 10.1109/ICACCI.2015.7275605

  1. Monalisa Ghosh and C. Singhal, “Machine Learning-Based Subjective Quality Estimation for Video Streaming Over Wireless Networks,” In Next-Generation Wireless Networks Meet Advanced Machine Learning Applications (pp. 235-254). IGI Global, 2019. 10.4018/978-1-6684-6291- 1.ch011
  1. Monalisa Ghosh, Monali Dhal, Pankaj Goel, Asutosh Kar, Shibalik Mohapatra, and Mahesh Chandra, “A New Block Least Mean Square Algorithm for Improved Active Noise Cancellation,” in Information Systems Design and Intelligent Applications, pp. 317-328. Springer, New Delhi, 2016.

  1. FDP at Adani University (SikshaVid)

  • Best paper award for “A Modified DDN Architecture for Enhanced Change Detection in SAR Images” at IEEE AIIOT conference, 2024 held at VIT, Vellore, India.
  • Granted MHRD Fellowship for PhD (2017-2022) program at IIT Kharagpur.
  • Received Teaching Assistant fellowship for assisting in NPTEL course (NOC19-EE56) at IIT Kharagpur

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