Journal

• Sumona Biswas and Shovan Barma, "Feature Fusion GAN Based Virtual Staining on Plant Microscopy Images", IEEE/ACM Transactions on Computational Biology and Bioinformatics, (2024), IEEE ( Accepted)
• Mohamed Roshdy, Roy, Samshitha, Sayed A Mohamed, Marwa S. Moustafa, Barma, Shovan, "Cyclone Detection with End-to-End Super Resolution and Faster R-CNN", Earth Science Informatics , (2024), Springer (Accepted)
• Anand Shankar, Manob Jyoti Saikia, Samarendra Dandapat, Shovan Barma, "Focal cortical dysplasia (type II) detection with multi-modal MRI and a deep-learning framework", npj Imaging,2, , (2024), pages. 31, Springer Nature
• Sumona Biswas, Shovan Barma, "A Low-Cost Vegetable Quality Assessment System Based on Microscopy Images in Deep Learning Edge Computing: A Pilot Study on Potato Tuber", IEEE Transactions on Consumer Electronics,70, (2024), pages. 6343-6353, IEEE
• Sumona Biswas, Shovan Barma, "MicrosMobiNet: A Deep Lightweight Network With Hierarchical Feature Fusion Scheme for Microscopy Image Analysis in Mobile-Edge Computing", IEEE Internet of Things Journal,vol. 11 (5), (2023), pages. 8288-8298, IEEE
• Basab Bijoy Purkayastha and Shovan Barma, "Discrimination of Cardiac Abnormalities Based on Multifractal Analysis in Reservoir Computing Framework", IEEE Open Journal of Instrumentation and Measurement,2, (2023), pages. 2500811, IEEE
• Jia Wen Li, Rong Jun Chen, Shovan Barma, Fei Chen, Sio Hang Pun, Peng Un Mak, Lei Jun Wang, Xian Xian Zeng, Jin Chang Ren, Hui Min Zhao, "An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features", Cognitive Computation, (2022), (Springer),DOI: 10.1007/s12559-022-10053-z
• Anand Shankar, Samarendra Dandapat, and Shovan Barma, "Discrimination of Types of Seizure Using Brain Rhythms Based on Markov Transition Field and Deep Learning", IEEE Open Journal of Instrumentation and Measurement, (2022), DOI: 10.1109/OJIM.2022.3202555
• Anand Shankar, Samarendra Dandapat, and Shovan Barma, "Seizure Types Classification by Generating Input Images With In-Depth Features From Decomposed EEG Signals For Deep Learning Pipeline", IEEE Journal of Biomedical and Health Informatics, (2022), DOI: 10.1109/JBHI.2022.3159531
• Parthana Sarma, Shovan Barma, "Emotion Recognition by Discriminating EEG Segments With High Affective Content From Automatically Selected Relevant Channels", IEEE Transactions on Instrumentation & Measurement, (2022), DOI: 10.1109/TIM.2022.3147876
• Jia Wen Li, Shovan Barma, Peng Un Mak, Mang I Vai, and Sio Hang Pun, "Emotion Recognition Based on EEG Brain Rhythm Sequencing Technique", IEEE Transactions on Cognitive and Developmental Systems, (2022), DOI: 10.1109/TCDS.2022.3149953
• Jia Wen Li, Shovan Barma, Peng Un Mak, Fei Chen, Cheng Li, Ming Tao Li, Mang I Vai, and Sio Hang Pun, "Single-channel Selection for EEG-based Emotion Recognition Using Brain Rhythm Sequencing", IEEE Journal of Biomedical and Health Informatics, (2022), DOI: 10.1109/JBHI.2022.3148109
• Parthana Sarma, Shovan Barma, "Emotion Recognition by Distinguishing Appropriate EEG Segments Based on Random Matrix Theory", Biomedical Signal Processing and Control,vol. 70, (2021), pages. 102991, Elsevier
• Sumona Biswas, Shovan Barma, "A Large-Scale Fully Annotated Low-Cost Microscopy Dataset for Deep Learning Framework", IEEE Transactions on NanoBioscience,vol. 20, no. 4,, (2021), pages. 507 –515,
• Parthana Sarma, Shovan Barma, "Usefulness of Blinking Duration Variability (BDV) in Discriminating Emotional States", Biomedical Signal Processing and Control,vol. 69, (2021), pages. 102883, Elsevier
• Anand Shankar, Hnin Kay Khaing, Samarendra Dandapat, and Shovan Barma, "Analysis of Epileptic Seizures Based on EEG Using Recurrence Plot Images and Deep Learning", Biomedical Signal Processing and Control,vol. 69, (2021), pages. 102854, Elsevier
• "A Large-scale Optical Microscopy Image Dataset of Potato Tuber for Deep Learning Based Plant Cell Assessment", Scientific Data (Nature),vol. 7, Article number 371, (2020),
• Parthana Sarma, Shovan Barma, "Review on Stimuli Presentation for Affect Analysis Based on EEG", IEEE Access,vol. 8, (2020), pages. 51991 - 52009,
• Jia Wen Li' Shovan Barma, Peng Un Mak, Sio Hang Pun, Mang I Vai, "Brain Rhythm Sequencing Using EEG Signals: A Case Study on Seizure Detection", IEEE Access,vol. 7, (2019), pages. 160112 - 160124,
• Xi Mei Chen, Shovan Barma, Sio Hang Pun, Mang I Vai, and Peng Un Mak, "Direct Measurement of Elbow-Joint-Angle Using Galvanic Couple System", IEEE Transactions on Instrumentation and Measurement,vol. 66, no. 4, (2017), pages. 757–766,
• Shovan Barma, Bo-Wei Chen, Wen Ji, Seungmin Rho, Chih-Hung Chou, and Jhing-Fa Wang, "Detection of the Third Heart Sound Based on Nonlinear Signal Decomposition and Time–Frequency Localization", IEEE Transactions on Biomedical Engineering,vol. 63, no. 8, (2016), pages. 71718–1727,
• Chih-Hung Chou, Ta-Wen Kuan, Shovan Barma, Bo-Wei Chen, Wen Ji, Chih-Hsiang Peng, and Jhing-Fa Wang, "A New Binary-Halved Clustering Method and ERT Processor for ASSR System", IEEE Transactions on Very Large Scale Integration (VLSI) Systems,vol. 24, no. 5, (2016), pages. 1871–1884,
• Kashif Iqbala, Michael Odetayoa, Anne Jamesa, Rahat Iqbala, Neeraj Kumarb, and Shovan Barma, "An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images", Neurocomputing,vol. 174 Part A, (2016), pages. 413–430, Elsevier
• Shovan Barma, Bo-Wei Chen, Wen Ji, Feng Jiang, and Jhing-Fa Wang, "Measurement of Duration, Energy of Instantaneous-Frequencies, and Splits of Subcomponents of the Second Heart Sound", IEEE Transactions on Instrumentation and Measurement,vol. 64, no. 7, (2015), pages. 1958–1967,
• Chih-Hsiang Peng, Po-Chuan Lin, Shovan Barma, Jhing-Fa Wang, Hong-Yuan Peng, Karunanithi Bharanitharan, and Ta-Wen Kuan, "Low-power enhanced system-on-chip design for sequential minimal optimisation learning core with tri-layer bus and butterfly-path accelerator", IET Computers & Digital Techniques,vol. 9, no. 2, (2015), pages. 93–100,
• C. RoyChaudhuri, and S. Barma, "A High Performance 1GHz Voltage Controlled Oscillator Using Neural System Architecture", Analog Integrated Circuits and Signal Processing,vol. 6, no. 3, (2011), pages. 459–465,
• N. P. Futane, P. Bhattacharyya, S. Barma , C. Roy Chaudhuri and H. Saha, "NanocrystallineZnO based MEMS Gas Sensors with CMOS ASIC for Mining Applications", International Journal on Smart Sensing and Intelligent Systems,vol. 1, no. 2, (2008), pages. 430–442,

Patent

• Shovan Barma and Sumona Biswas , "System and Device for Quality Assessment of Vegetables", Patent No: 513925, (2024), Indian Patent ( Granted)

Conference

• Anand Shankar, Debaleena Chakraborty, Samarendra Dandapat, Shovan Barma, Manob Jyoti Saikia, "Attention-based Deep Learning for Epileptic Seizure Type Detection", 2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), (2024), pages. 1-4, IEEE
• Chandita Barman and Shovan Barma, "Identifying Suitable Anatomical Planes in 3D MRI for AD Classification by Employing ViT Pipeline", TENCON ,(Accpeted), (2024), IEEE
• Basab Bijoy Purkayastha and Shovan Barma, "Cardiac Arrhythmia Detection by Involving Multiscale Multifractal Analysis and Deep Learning", R10 TENSYMP,(Accepted), (2024), IEEE
• Debashis Das Chakladar, Anand Shankar, Foteini Liwicki, Shovan Barma and Rajkumar Saini, "Attention Dynamics: Estimating Attention Levels of ADHD using Swin Transformer", 27th International Conference on Pattern Recognition ,(Accepted), (2024), Springer
• Soumya Sankar Mitra, Aparajita Dutta, Shovan Barma, and Sudip Biswas, "Skill-Driven Loan Prediction for Economic Inclusion: A Computational Approach for Financial Empowerment", IEEE International Conference on Orange Technology (ICOT), 15-17 December, Tainan Taiwan, (2024), IEEE ( Presented)
• Jyotinmoy Nath and Shovan Barma, "Feature Align-HFL: A Feature Alignment Based Client-Specific Model For Heterogeneous Federated Learning", IEEE International Conference on Orange Technology (ICOT), 15- 17 December 2024, Tainan, Taiwan, (2024), IEEE (Presented)
• Jyotinmoy Nath and Shovan Barma, "Feature Align-HFL: A Feature Alignment Based Client-Specific Model For Heterogeneous Federated Learning", IEEE International Conference on Orange Technology (ICOT), 15- 17 December 2024, Tainan, Taiwan, (2024), IEEE (Presented)
• Franklin Burhagohain and Shovan Barma, "High-Resolution 7T-like MRI Images Generation From 3T MRI Scans Using Multi-Scale Residual CycleGAN", INDICON 2024, 19-21 December, 2024, IIT Kharagpur, India, (2024), IEEE ( Presented)
• A Shankar, D Chakraborty, S Dandapat, S Barma, "Long Short-Term Memory Framework for Classification of Seizure Types Using A Different Format of EEG Signal", 2023 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), (2023), IEEE
• Anand Shankar, Debaleena Chakraborty, Manob Jyoti Saikia, Samarendra Dandapat, Shovan Barma, "Seizure Type Detection Using EEG Signals Based on Phase Synchronization and Deep Learning", 2023 IEEE 19th International Conference on Body Sensor Networks (BSN), (2023), IEEE
• Basab Bijoy Purkayastha, Shovan Barma, "Reservoir Echo State Network for Classification of Multivariate Time Series", IEEE 30th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW), (2023), pages. 61-62, IEEE
• Maloth Santhoshi, Shovan Barma, Debaprasad Das, "An Overview of Artificial Neuromorphic Circuits", 2022 IEEE International Conference of Electron Devices Society Kolkata Chapter (EDKCON), (2022), pages. 655-658, IEEE
• Atharv Dabhade, Samshitha Roy, Marwa S Moustafa, Sayed A. Mohamed, Reda El Gendy, Shovan Barma, "Extreme Weather Event (Cyclone) Detection in India Using Advanced Deep Learning Techniques", in 9th IEEE International Conference on Orange Technology (ICOT) in Tainan, Taiwan, (2021),
• Anand Shankar, Samarendra Dandapat, Shovan Barma, "Classification of Seizure Types Based on Statistical Variants and Machine Learning", IEEE INDICON21,December 19-21, (2021),
• Anand Shankar, Samarendra Dandapat, Shovan Barma, "Seizure Type Classification Using EEG Based on Gramian Angular Field Transformation and Deep Learning", 43rd IEEE Conference on Engineering in Medicine and Biology Conference (EMBC 2021), Virtual, Nov. 1-5, (2021),
• Anand Shankar, Samarendra Dandapat, Shovan Barma, "Classification of Epileptic Seizure From EEG Signal Based on Hilbert Vibration Decomposition and Deep Learning", 43rd IEEE Conference on Engineering in Medicine and Biology Conference (EMBC 2021), Virtual, Nov. 1-5, (2021),
• Jia Wen Li, Shovan Barma, Sio Hang Pun, Fei Chen, Cheng Li, Ming Tao Li, Pan Ke Wang, Mang I Vai, and Peng Un Mak, "EEG-based Emotion Recognition Using Similarity Measure of Brain Rhythm Sequencing", 3rd IEEE Conference on Engineering in Medicine and Biology Conference (EMBC 2021), Virtual, Nov. 1-5,, (2021),
• Jia Wen Li, Shovan Barma, Sio Hang Pun, Mang I Vai, Feng Wan, Wai Sun Liu and Peng Un Mak, "Brain Rhythm Sequencing and Its Application for EEG-based Emotion Recognition", 2021 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) , Virtual, June 18-21, (2021),
• Anand Shankar, Hnin Kay Khaing, Samarendra Dandapat, Shovan Barma, "Epileptic Seizure Detection Based on Gramain Angular Field Transformation and Deep Learning", 2nd IEEE Conference on Applied Signal Processing 2020 (ASPCON 2020), Kolkata India, Oct. 7-9, (2020),
• Anand Shankar, Samarendra Dndpat, Shovan Barma, "Graph Theory and Machine Learning Based Epileptic Seizure Analysis from EEG", 63rd IEEE International Midwest Symposium on Circuit and Systems (IMSCS), Springfield, MA USA. Aug. 9-12, (2020),
• Jia Wen Li, Shovan Barma, Sio Hang Pun, Mang I Vai, Pan Ke Wang, Xin Liu, Yuan Yu Yu, Jiu Jiang Wang, Shuang Zhang, Peng Un Mak, "Initial Study of Emotion Recognition Using Brain Rhythm Sequencing Method", 11th Asian Pacific Conference on Medical and Biological Engineering, Okayama, Japan, May 25-27, (2020),
• Sumona Biswas, Shovan Barma, "Usability of Foldscope in Food Quality Assessment Device", International Conference on Pattern Recognition and Machine Intelligence (PReMI 2019), Tezpur, India, Dec. 17-20, (2019), pages. 490-498,
• Sumona Biswas, Shovan Barma, "Foldscope Image Enhancement in HSV Space by PSO Optimization Technique", IEEE 12th Biomedical Engineering International Conference (BMEiCON 2019), Ubon Ratchathani, Thailand, Thailand Nov. 19-22,, (2019),
• Parthana Sarma, Shovan Barma, "Emotion Analysis Based on LASSO", IEEE Region 10 Symposium (TENSYM), Kolkata, India, 7-9 June, (2019),
• Yi Zhan, Mang I Vai, Shovan Barma, Sio Hang Pun, Jia Wen Li and Peng Un Mak, "A Computation Resource Friendly Convolutional Neural Network Engine For EEG-based Emotion Recognition", IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2019) , Tianjan, China, Jun 14-16, (2019),
• ia Wen Li, Xu Tong Cui, Shovan Barma, Sio Hang Pun, Pedro Antonio Mou, Hui Juan Huang, U Kin Che, Mang I Vai, Peng Un Mak, "Scalp Level Connectivity for Representative Channels in Emotional Status", World Congress on Medical Physics and Biomedical Engineering 2018 in Prague, Czech Republic. Jun 3-8, (2018),
• Suraj ; Ish Kool ; Dharmendra Kumar ; Shovan Barma, "Visual Machine Intelligence for Home Automation", IEEE International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU) , in Bhimtal, India, 23-24 Feb, (2018),
• Suraj, Parthana Sarma, Amit Kumar Yadav, Amit Kumar Yadav, Shovan Barma, "Keystroke Rhythm Analysis Based on Dynamics of Fingertips", International Conference on Machine Intelligence and Signal Processing (MISP) in IIT Indore, India. 22-24 Dec, (2017),
• Jia Wen Li, Peng Un Mak, Shovan Barma, Sio Hang Pun, Xu Tong Cui, U. Kin Che, Mang I. Vai, "Studies of scalp level connectivity and representative channels in epilepsy", IEEE Biomedical Engineering International Conference (BMEiCON), in Hokkaido, Japan. 31 Aug.-2 Sept, (2017),
• Mehfishan Nishat, Madhurjya Bora, Gitartha Kashyap, Xutong Cui, Sio-Hang Pun, and Shovan Barma, "Analysis of Neural Electrical Activities During Elicitation of Human Emotion based on EEG", IEEE International Conference on Signal Processing and Communication (ICSC), in Noida, India. 26-28 Dec, (2016),
• Shovan Barma , Bo-Wei Chen, Hung-Ming Wang, Hung-Jui Wang, and Jhing-Fa Wang, "Second Heart Sound (S2) Decomposition by Hilbert Vibration Decomposition (HVD) for Affective Signal Modeling and Learning", in International Conference on Webbased Learning (ICWL), in Kenting, Taiwan. 20-23 Sep, (2014),
• Shovan Barma,Ta-Wen Kuan, Chih-Hung Chou, and Jhing-Fa Wang, "A Novel Feature Generation Method Based on Nonlinear Signal Decomposition for Automatic Heart Sound Monitoring", in IEEE International Conference on Orange Technology (ICOT), in X’ian, China. 20-23 Sep, (2014),
• Shu-Chiang Chung, Shovan Barma, Ta-Wen Kuan, Ting-Wei Lin, "Frowning expression detection based on SOBEL filter for negative emotion recognition", in IEEE International Conference on Orange Technology (ICOT), X’ian, China. 20-23 Sep, (2014),
• Shovan Barma,Ta-Wen Kuan, Jaw-Shyang Wu, Shih-Pang Tseng, Jhing-Fa Wang, "A review on heart sound modeling: Fluid dynamics and signal processing perspective", in IEEE International Conference on Orange Technology (ICOT) , in Tainan, Taiwan. 12-16 Mar, (2013),

• Debashis Das Chakladar, Anand Shankar, Foteini Liwicki, Shovan Barma, and Rajkumar Saini, "Attention Dynamics: Estimating Attention Levels of ADHD using Swin Transformer", 17th International Conference on Pattern Recognition (ICPR),( , (2024), Springer
• Basab Bijoy Purkayastha and Shovan Barma, "Hybrid CPU-FPGA Accelerated Architecture for Hurst Surface Feature Extraction and SVM Classification of ECG Signals", IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2024), December 18-21, Bangalore, India, (2024), IEEE ( Presented)