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Personal Details
NameDr Mohendra Roy
DesignationAssistant Professor
DepartmentInformation and Communication Technology, School of Technology
EmailMohendra.Roy@sot.pdpu.ac.in
Educational Qualifications
  • B.Sc. (Physics, Gauhati University), 2004
  • M.Sc. (Physics, Tezpur University), 2006
  • M.Tech. (BioElectronics, Tezpur University), 2008
  • Ph.D (Electronics and Information Engineering, Korea University), 2016
    Professional Affiliation
    Institute of Electrical and Electronics Engineers(IEEE) member since 2016, Korean Biochip Society, IEEE Computational Intelligence Society
    Awards
    [1] Winner of Faculty Research Review Symposium (Jan 2021), by PDPU, India. [2] 2nd Prize at IISF2020 (Dec 2020), Jointly by ICMR, CSIR, DST, Ministry of Science and Technology, Government of India. [3] Korea University Graduate Achievement Award (February 2016), Korea University, South Korea. [4] Best Researcher Award (Dec. 2015), by NBPL, Korea University, South Korea. [5] IEEE Student Paper Award (Dec. 2014), by IEEE, Seoul section, Seoul, South Korea. [6] Best Researcher Award (Dec. 2014), by NBPL, Korea University, South Korea. [7] Outstanding Paper Award (Oct. 2014), by Biochip 2014 fall Conference, The Korean Biochip Society, Osong, South Korea. [8] Brain Korea 21 Scholarship (2013 - 2016) [9] Gold medal (Dec. 2008) by Tezpur University.
    Publications / Articles / Conference
    Research based or onographs/Textbooks published
  • ' Explainable AI in Healthcare', Chapman and Hall/CRC, Jul 2023
  • 'Recent Trends and Best Practices in Industry 4.0', River Publishers, Nov 2023
  • 'Explainable AI in Healthcare Unboxing Machine Learning for Biomedicine', Chapman & Hall, Jul 2023
    Articles/Chapters Published in the books
  • 'Memristor-Based Neuromorphic Computing and Artificial Neural Networks for Computer Vison and AI Applications', Springer Nature, May 2024
  • 'Tracing Historical Connections: The Evolutionary Ties of Artificial Intelligence, Confocal Microscopy, and Marvin Minsky (1927–2016)', Springer Nature, May 2024
  • 'Memristor-Based Neuromorphic Computing and Artificial Neural Networks for Computer Vison and AI—Applications', Springer Nature Singapore, Sep 2024
  • 'U-Net: A Versatile Deep Learning Architecture for Multi-Disease Detection', Springer Nature, May 2024
  • 'Signal Restoration with Fractional Transform Sparse Representation and Autoencoder', IEEE Explore, Aug 2023
  • 'MXenes: promising 2D memristor materials for neuromorphic computing components', , Jul 2022
  • 'Machine Learning Based Lens-Free Shadow Imaging Technique for Field-Portable Cytometry', , Feb 2022
  • 'Artificial intelligence powered material search engine', , Jan 2022
  • 'A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features', , Jul 2022
  • 'Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach', , Jul 2022
  • 'Survey on Vision based Fake News Detection and its Impact Analysis', , Dec 2022
  • 'Glioblastoma Multiforme Patient Survival Prediction', , Sep 2021
  • 'Role of Artificial Intelligence Based Wireless Sensor Network for Pandemic Control: A Case Study Using CupCarbon', , May 2021
  • 'An Optimized Neural Network Architecture for Auto Characterization of Biological Cells in Digital Inline Holography Micrographs', , Mar 2021
  • 'ANNSESDIHM: An Artificial Neural Network based Signal Enhancement Scheme for Digital Inline Holography (DIH) Microscope', , Mar 2021
  • 'Role of Artificial Intelligence Based Wireless Sensor Network for Pandemic Control: A Case Study Using CupCarbon', , May 2021
  • 'Glioblastoma Multiforme Patient Survival Prediction', , Aug 2021
  • 'ADIC: Anomaly Detection Integrated Circuit in 65-nm CMOS Utilizing Approximate Computing', , Sep 2020
    Published Papers in Journals
  • 'ZnO Nanowall Network-Based Tactile/Gesture Sensors and Prediction with Machine Learning', ACS Applied Materials & Interfaces, pp. 61272-61283, Oct 2024, DOI : https://doi.org/10.1021/acsami.4c12753
  • 'Deriving and interpreting robust features for survival prediction of brain tumor patients', International Journal of Imaging Systems and Technology, pp. e23105-e23109, May 2024, DOI : https://doi.org/10.1002/ima.23105
  • 'Insights of BDAPbI4-Based Flexible Memristor for Artificial Synapses and In-Memory Computing', ACS Omega, pp. 123-127, Nov 2024, DOI : https://doi.org/10.1021/acsomega.4c05529
  • 'A triplanar ensemble model for brain tumor segmentation with volumetric multiparametric magnetic resonance images', Healthcare Analytics, pp. 1-10, Feb 2024, DOI : https://doi.org/10.1016/j.health.2024.100307
  • 'Multi-view brain tumor segmentation (MVBTS): An ensemble of planar and triplanar attention UNets', Turkish Journal of Electrical Engineering and Computer Sciences, pp. 1-21, Oct 2023, DOI : https://doi.org/10.55730/1300-0632.4026
  • 'Artificial Intelligence in Material Engineering: A Review on Applications of Artificial Intelligence in Material Engineering', Advanced Engineering Materials, pp. 1-13, Apr 2023, DOI : https://doi.org/10.1002/adem.202300104
  • 'Interpretable machine learning model to predict survival days of malignant brain tumor patients', Machine Learning: Science and Technology, pp. 1-26, May 2023, DOI : https://doi.org/10.1088/2632-2153/acd5a9
  • 'Machine Learning Based Lens-Free Shadow Imaging Technique for Field-Portable Cytometry', Biosensors, pp. 1-15, Feb 2022, DOI : https://doi.org/10.3390/bios12030144
  • 'Artificial Intelligence Powered Material Search Engine', Materials today Proceedings , pp. 11-13, Jan 2022, DOI : https://doi.org/10.1016/j.matpr.2022.01.120
  • 'MXenes: promising 2D memristor materials for neuromorphic computing components', Trends in Chemistry, pp. 835-849, Jul 2022, DOI : https://doi.org/10.1016/j.trechm.2022.06.004
  • 'ADIC: Anomaly Detection Integrated Circuit in 65-nm CMOS Utilizing Approximate Computing', IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Sep 2020
  • 'ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and Its Implementation in 65-nm CMOS', IEEE Transactions on Circuits and Systems I: Regular Papers, Dec 2019
  • 'A review of recent progress in lens-free imaging and sensing', Biosensors and Bioelectronics, Feb 2017
  • 'Automated Micro-Object Detection for Mobile Diagnostics Using Lens-Free Imaging Technology', Diagnostics , May 2016
  • 'Capillary Flow in PDMS Cylindrical Microfluidic Channel Using 3-D Printed Mold', Journal of Microelectromechanical Systems, Feb 2016
  • 'Staining-free cell viability measurement technique using lens-free shadow imaging platform', Sensors and Actuators B: Chemical, Mar 2016
  • 'Low-cost telemedicine device performing cell and particle size measurement based on lens-free shadow imaging technology', Biosensors and Bioelectronics, May 2015
  • 'A simple and low-cost device performing blood cell counting based on lens-free shadow imaging technique', Sensors and Actuators B: Chemical, Oct 2014
  • 'Photochromism and magneto-optic response of ZnO:Mn semiconductor quantum dots fabricated by microemulsion route', Central European Journal of Physics, Mar 2008
    Full Papers in Conference Proceedings
  • 'Evaluation of Energy Efficiency of a custom developed Physically Unclonable Function(PUF) for IoT Security', 2025 International Conference on Sustainable Energy Technologies and Computational Intelligence (SETCOM), pp. 1-5, Mar 2025, DOI : https://doi.org/10.1109/SETCOM64758.2025.10932348
  • 'A Study of the Impact of Athlete Age on Team Success Across the Top Five International Football Leagues', 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), pp. 1-8, Jul 2024, DOI : https://doi.org/10.1109/CONECCT62155.2024.10677078
  • 'An Energy Efficient System for Unmanned Aerial Vehicle-based Surveillance', 4th International Conference on Distributed Sensing and Intelligent Systems, ICDSIS 2023, pp. 480-486, Dec 2023, DOI : https://doi.org/10.1049/icp.2024.0531
  • 'Signal Restoration with Fractional Transform Sparse Representation and Autoencoder', International Conference on Computer and Communication Engineering, ICCCE, pp. 1-8, Aug 2023, DOI : https://doi.org/10.1109/ICCCE58854.2023
  • 'Survey on Vision based Fake News Detection and its Impact Analysis', 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Thailand, pp. 1837-1841, Dec 2022, DOI : https://doi.org/10.23919/APSIPAASC55919.2022.9980089
  • 'A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features', 2022 International Joint Conference on Neural Networks (IJCNN), pp. 1-7, Jul 2022, DOI : https://ieeexplore.ieee.org/abstract/document/9892905
  • 'Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach', 2022 International Joint Conference on Neural Networks (IJCNN), pp. 1-8, Jul 2022, DOI : https://ieeexplore.ieee.org/document/9892311
  • 'An Optimized Neural Network Architecture for Auto Characterization of Biological Cells in Digital Inline Holography Micrographs', IEEE International Conference on Healthcare Informatics (ICHI), Mar 2021
  • 'ANNSESDIHM: An Artificial Neural Network based Signal Enhancement Scheme for Digital Inline Holography (DIH) Microscope', IEEE International Conference on Healthcare Informatics (ICHI), Mar 2021
  • 'Live Demonstration: Autoencoder-Based Predictive Maintenance for IoT', 2019 IEEE International Symposium on Circuits and Systems (ISCAS), May 2019
  • 'ADEPOS: Anomaly Detection based Power Saving for Predictive Maintenance using Edge Computing', ASPDAC '19 Proceedings of the 24th Asia and South Pacific Design Automation Conference, Jan 2019
  • 'A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring', 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Jan 2019
  • 'Lens-free automated cell detection system for telemedicine application', 2015 IEEE SENSORS, Nov 2015
  • 'Smartphone based automated microparticle analysis system', Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology, Mar 2015
  • 'High-throughput and real-time microalgae monitoring platform using lens-free shadow imaging system (LSIS)', 2015 IEEE SENSORS, Busan, South Korea, Nov 2015
  • 'An automated cell detection algorithm for lensfree shadow imaging platform', 2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications, Feb 2014
  • 'Underwater multispectral imaging system for environmental monitoring', OCEANS 2014 TAIPEI, Apr 2014
    Papers presented in Conferences, Seminars, Workshops, Symposia

  • 'Artificial Intelligence Powered Material Search Engine', MMETFP-2021, Nov 2021
  • 'A smart telemedicine device for auto diagnosis of pathological disorders in human blood', Young Scientist Conference 2019, Nov 2019
  • 'Cell image characterization using deep learning algorithm', ILSBE 2015, Tokyo, Dec 2015
  • 'A Modified Hough Scheme Based Automated Cell Counting Method for the Lens-free Shadow Imaging Platform', International Conference on Green and Human Information Technology (ICGHIT), Feb 2014
  • 'Shadow Image Based Portable Cell Counter (SIPCC)', Biosensors 2014, Melbourne Australia, May 2014
  • 'Optimization of Plasmonic Nanohole Array Sensor-design for Biosensing Application', Biochip 2014 fall, Osong, Korea, Oct 2014
  • 'Reagent-free Cell Viability Measurement Using Lens-free CMOS Image Sensor', IEEE Life Sciences Grand Challenges Conference, Singapore, Dec 2013
  • 'Generation of less-diffractive nanoscale beam using a single aperture type plasmonic lens', SPIE 2013 Prague, Czech Republic, Apr 2013