Dr Mukesh Prasad is a Senior Lecturer at the School of Computer Science in the Faculty of Engineering and IT at UTS and a subject matter expert for Artificial Intelligence and Machine Learning at Institute of Applied Technology (IAT), NSW, Australia. He has made substantial contributions to the fields of machine learning, artificial intelligence, data analytics and Natural Language Processing. He is working also in the evolving and increasingly important field of computer vision and internet of things, which promise to pave the way for the evolution of new applications and services in the areas of healthcare, biomedical, agriculture, smart cities, education, marketing and finance. His research has appeared in numerous prestigious journals, including IEEE/ACM Transactions, and at conferences, and he has published more than 200 research articles.

He started his academic career as a lecturer with UTS in 2017 and became a core member of the University’s world-leading Australian Artificial Intelligence Institute (AAII), which has a vision to develop theoretical foundations and advanced technologies for AI and to drive progress in related areas. His research is backed by industry experience, specifically in Taiwan, where he was the principal engineer (2016-17) at the Taiwan Semiconductor Manufacturing Company (TSMC). He received an M.S. degree from the School of Computer and Systems Sciences at the Jawaharlal Nehru University in New Delhi, India (2009), and a PhD from the Department of Computer Science at the National Chiao Tung University in Taiwan (2015).

• Artificial Intelligence
• Machine Learning
• Data Analytics
• Computer Vision
• Natural Language
• Processing

• I. Khurtin, M. Prasad, A Contextual Model for Visual Information Processing, Computers, 13 (6), p. 155.
• C. Wang, A. S. Young, C. Raj, A. P. Bradshaw, B. Nham, S. M. Rosengren, Z. Calic, D. Burke, G. M. Halmagyi, G. K. Bharathy, M. Prasad, M. S. Welgampola, Machine learning models help differentiate between causes of recurrent spontaneous vertigo, Journal of Neurology, 271 (6), 3426–3438.
• H. Sulimani, R. Sulimani, F. Ramezani, M. Naderpour, H. Huo, T. Jan, M. Prasad, HybOff: a Hybrid Offloading approach to improve load balancing in fog environments, Journal of Cloud Computing, 13 (1), 113.
• A. Braytee, S. He, S. Tang, Y. Sun, X. Jiang, X. Yu, I. Khatri, K. Chaturvedi, M. Prasad, A. Anaissi, Identification of cancer risk groups through multi omics integration using autoencoder and tensor analysis, Scientific Reports, 14 (1), 11263.
• S. Sultana, M. M. Alam, M. M. Su’ud, J. C. Mustapha, M. Prasad, A Deep Dive into Robot Vision—An Integrative Systematic Literature Review Methodologies and Research Endeavor Practices, ACM Computing Surveys, 56 (9), 1–33.
• T. Bhatia, G. Bharathy, M. Prasad, A Targeted Review on Revisiting and Augmenting the Framework for Technology Acceptance in the Renewable Energy Context, Energies, 17 (8), 1982.
• Y. Huang, K. Chaturvedi, A. A. Nayan, M. H. Hesamian, A. Braytee, M. Prasad, Early Parkinson’s Disease Diagnosis through Hand Drawn Spiral and Wave Analysis Using Deep Learning Techniques, Information, 15 (4), 220.
• P. Appiahene, S. Afrifa, E. K. Akwah, A. Choudhry, I. Khatri, C. Raj, M. Prasad, Analyzing sentiments towards e levy policy implementation in Ghana using twitter data, International Journal of Information Technology, 16 (4), 2199–2214.
• A. Lin, J. Li, Y. Xiang, W. Bian, M. Prasad, Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics, IEEE Transactions on Intelligent Vehicles, pp. 1–11.
• I. P. Hannigan, S. M. Rosengren, G. K. Bharathy, M. Prasad, M. S. Welgampola, S. R. D. Watson, Subjective and objective responses to caloric stimulation help separate vestibular migraine from other vestibular disorders, Journal of Neurology, 271 (2), 887–898.
• S. Joshi, M. Sharma, S. Bartwal, T. Joshi, M. Prasad, Critical challenges of integrating OPEX strategies with I4.0 technologies in manufacturing SMEs: A few pieces of evidence from developing economies, The TQM Journal, 36 (1), 108–138.
• J. F. Idocin, C. Vidaurre, J. Fernández, M. Gómez, J. A. Perez, M. Prasad, H. Bustince, Supervised penalty based aggregation applied to motor imagery based brain computer interface, Pattern Recognition, 145, 109924.
• Nirbhav, A. Malik, Maheshwar, M. Prasad, Landslide susceptibility assessment along the major transport corridor using decision tree model: a case study of Kullu Rohtang Pass, International Journal of Business Intelligence and Data Mining, 24 (1), 1–24.
• C. Kumar, S. K. Jha, D. K. Yadav, S. Prakash, M. Prasad, A generalized approach to construct node probability table for Bayesian belief network using fuzzy logic, The Journal of Supercomputing, 80 (1), 75–97.
• G. Gupta, K. Raja, M. Gupta, T. Jan, S. T. Whiteside, M. Prasad, A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods, Electronics, 13 (1), 95.
• I. Khatri, A. Choudhry, A. Rao, A. Tyagi, D. K. Vishwakarma, M. Prasad, Influence Maximization in Social Networks Using Discretized Harris’ Hawks Optimization Algorithm, Applied Soft Computing, 149, 111037.
• H. Sulimani, A. M. Sajjad, W. Y. Alghamdi, O. Kaiwartya, T. Jan, S. Simoff, M. Prasad, Reinforcement Optimization for Decentralized Service Placement Policy in IoT Centric Fog Environment, Transactions on Emerging Telecommunications Technologies, DOI: https://doi.org/10.1002/ett.4650..
• A. Gupta, D. Kumar, H. Verma, M. Tanveer, A. P. Javier, C. T. Lin, M. Prasad, Recognition of Multi Cognitive Tasks from EEG Signals Using EMD Methods, Neural Computing and Applications, DOI: https://doi.org/10.1007/s00521-022-07425-9..
• R. K. Sharma, G. Bharathy, F. Karimi, A. V. Mishra, M. Prasad, Thematic Analysis of Big Data in Financial Institutions Using NLP Techniques with a Cloud Computing Perspective: A Systematic Literature Review, Information, 14 (10), 577.
• I. Alsolbi, R. Agarwal, B. Unhelkar, T. A. Jabri, M. Samarawickrama, S. Tafavogh, M. Prasad, A Conceptual Design of an AI Enabled Decision Support System for Analysing Donor Behaviour in Nonprofit Organisations, Information, 14 (10), 578.
• F. Moradi, N. Biloria, M. Prasad, Analyzing the Age Friendliness of the Urban Environment Using Computer Vision Methods, Environment and Planning B: Urban Analytics and City Science, 50 (8), 2294–2308.
• M. Gaur, K. Chaturvedi, D. K. Vishwakarma, S. Ramasamy, M. Prasad, Self Supervised Ensembled Learning for Autism Spectrum Classification, Research in Autism Spectrum Disorders, 107, 102223.
• G. S. Thakur, S. K. Sahu, N. K. Swamy, M. Gupta, T. Jan, M. Prasad, Review of Soft Computing Techniques in Monitoring Cardiovascular Disease in the Context of South Asian Countries, Applied Sciences, 13 (17), 9555.
• A. S. Rajawat, S. B. Goyal, P. Bedi, T. Jan, M. Whaiduzzaman, M. Prasad, Quantum Machine Learning for Security Assessment in the Internet of Medical Things (IoMT), Future Internet, 15 (8), 271.
• P. Grover, K. Chaturvedi, X. Zi, A. Saxena, S. Prakash, T. Jan, M. Prasad, Ensemble Transfer Learning for Distinguishing Cognitively Normal and Mild Cognitive Impairment Patients Using MRI, Algorithms, 16 (8), 377.
• S. Adhikari, S. Thapa, U. Naseem, H. Y. Lu, G. Bharathy, M. Prasad, Explainable Hybrid Word Representations for Sentiment Analysis of Financial News, Neural Networks, 164, 115–123, DOI: https://doi.org/10.1016/j.neunet.2023.04.011..
• I. Alsolbi, F. H. Shavaki, R. Agarwal, G. K. Bharathy, S. Prakash, M. Prasad, Big Data Optimisation and Management in Supply Chain Management: A Systematic Literature Review, Artificial Intelligence Review, 1–32, DOI: https://doi.org/10.1007/s10462-023-10505-4..
• C. Kumar, S. K. Jha, D. K. Yadav, S. Prakash, M. Prasad, A Generalized Approach to Construct Node Probability Table for Bayesian Belief Network Using Fuzzy Logic, The Journal of Supercomputing, 1–23, DOI: https://doi.org/10.1007/s11227-023-05458-y..
• P. Appiahene, K. Chaturvedi, J. W. Asare, E. T. Donkoh, M. Prasad, Cp Anemic: A Conjunctival Pallor Dataset and Benchmark for Anemia Detection in Children, Medicine in Novel Technology and Devices, 100244, DOI: https://doi.org/10.1016/j.medntd.2023.100244..
• J. Tan, S. B. Goyal, A. S. Rajawat, T. Jan, N. Azizi, M. Prasad, Anti Counterfeiting and Traceability Consensus Algorithm Based on Weightage to Contributors in a Food Supply Chain of Industry 4.0, Sustainability, 15 (10), 7855, DOI: https://doi.org/10.3390/su15107855..
• A. Elgharabawy, M. Prasad, C. T. Lin, Preference Neural Network, IEEE Transactions on Emerging Topics in Computational Intelligence, 1–15, DOI: 10.1109/TETCI.2023.3268707.
• H. Madkhali, S. Duraib, L. Nguyen, M. Prasad, M. Sharma, S. Joshi, A Comprehensive Review on E Waste Management Strategies and Prediction Methods: A Saudi Arabia Perspective, Knowledge, 3 (2), 163–179, DOI: https://doi.org/10.3390/knowledge3020012..
• Nirbhav, A. Malik, Maheshwar, M. Prasad, A. Saini, N. T. Long, A Comparative Study of Different Machine Learning Models for Landslide Susceptibility Prediction: A Case Study of Kullu To Rohtang Pass Transport Corridor, India, Environmental Earth Sciences, 82 (7), 167, DOI: https://doi.org/10.1007/s12665-023-10846-x..
• Nirbhav, A. Malik, Maheshwar, T. Jan, M. Prasad, Landslide Susceptibility Prediction Based on Decision Tree and Feature Selection Methods, Journal of the Indian Society of Remote Sensing, 51 (4), 771–786, DOI: https://doi.org/10.1007/s12524-022-01645-1..
• K. Chaturvedi, A. Braytee, J. Li, M. Prasad, SS CPGAN: Self Supervised Cut and Pasting Generative Adversarial Network for Object Segmentation, Sensors, 23 (7), 3649, DOI: https://doi.org/10.3390/s23073649..
• R. Chauhan, S. Shighra, H. Madkhali, L. Nguyen, M. Prasad, Efficient Future Waste Management: A Learning Based Approach with Deep Neural Networks for Smart System (LADS), Applied Sciences, 13 (7), 4140, DOI: https://doi.org/10.3390/app13074140..
• M. Sharma, S. Joshi, M. Prasad, S. Bartwal, Overcoming Barriers to Circular Economy Implementation in the Oil & Gas Industry: Environmental and Social Implications, Journal of Cleaner Production, 391, 136133, DOI: https://doi.org/10.1016/j.jclepro.2023.136133..
• S. Joshi, M. Sharma, B. Y. Ekren, Y. Kazancoglu, S. Luthra, M. Prasad, Assessing Supply Chain Innovations for Building Resilient Food Supply Chains: An Emerging Economy Perspective, Sustainability, 15 (6), 4924, DOI: https://doi.org/10.3390/su15064924..
• X. Zi, K. Chaturvedi, A. Braytee, J. Li, M. Prasad, Detecting Human Falls in Poor Lighting: Object Detection and Tracking Approach for Indoor Safety, Electronics, 12 (5), 1259.
• I. Kwon, J. Li, M. Prasad, Lightweight Video Super Resolution for Compressed Video, Electronics, 12 (3), 660, DOI: https://doi.org/10.3390/electronics12030660..
• D. Chugh, H. Mittal, A. Saxena, R. Chauhan, E. Yafi, M. Prasad, Augmentation of Densest Subgraph Finding Unsupervised Feature Selection Using Shared Nearest Neighbor Clustering, Algorithms, 16 (1), 28, DOI: https://doi.org/10.3390/a16010028..
• I. Alsoibi, R. Agarwal, G. Bharathy, M. Samarawickrama, B. Unhelkar, M. Prasad, A Systematic Review and Taxonomy of Data Analytics in Non profit Organizations, Asia Pacific Journal of Information Systems (APJIS), 2023, 33 (1), pp. 33–68, http://hdl.handle.net/10453/169856..
• A. S. Rajawat, S. B. Goyal, C. Chauhan, P. Bedi, M. Prasad, T. Jan, Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement Algorithm, Electronics, 12 (1), 217, DOI: https://doi.org/10.3390/electronics12010217.
• S. Joshi, M. Sharma, S. Bartwal, T. Joshi, M. Prasad, Critical Challenges of Integrating OPEX Strategies with 4.0 Technologies in Manufacturing SMEs: A Few Pieces of Evidence from Developing Economies, The TQM Journal, DOI: https://doi.org/10.1108/TQM-08-2022-0245..
• B. Unhelkar, S. Joshi, M. Sharma, S. Prakash, A. K. Mani, M. Prasad, Enhancing Supply Chain Performance Using RFID Technology and Decision Support Systems in The Industry 4.0 – A Systematic Literature Review, International Journal of Information Management Data Insights, DOI: https://doi.org/10.1016/j.jjimei.2022.100084..
• A. S. Rajawat, S. B. Goyal, P. Bedi, S. Simoff, T. Jan, M. Prasad, Smart Scalable ML Blockchain Framework for Large Scale Clinical Information Sharing, Applied Sciences, DOI: https://doi.org/10.3390/app122110795..
• L. Brunese, P. Martino, M. Mischi, M. Prasad, A. Santone, Radiomics in Prostate Cancer Imaging, Frontiers in Oncology, DOI: https://doi.org/10.3389/fonc.2022.1010901..
• S. Joshi, M. Sharma, R. P. Das, J. R. Szyrocka, J. Żywiołek, K. Muduli, M. Prasad, Modeling Conceptual Framework for Implementing Barriers of AI in Public Healthcare for Improving Operational Excellence: Experiences from Developing Countries, Sustainability, DOI: https://doi.org/10.3390/su141811698.
• M. Sajid, H. Mittal, S. Pare, M. Prasad, Routing and Scheduling Optimization for UAV Assisted Delivery System: A Hybrid Approach, Applied Soft Computing, DOI: https://doi.org/10.1016/j.asoc.2022.109225.
• C. Davison, P. Akhavan, T. Jan, N. Azizi, S. Fathollahi, N. Taheri, O. Haass, M. Prasad, Evaluation of Sustainable Digital Currency Exchange Platforms Using Analytic Models, Sustainability, DOI: https://doi.org/10.3390/su14105822.
• D. Puthal, S. Wilson, A. Nanda, M. Liu, S. Swain, B. P. S. Sahoo, K. Yelamarthi, P. Pillai, H. E. Sayed, M. Prasad, Decision Tree Based User Centric Security Solution for Critical IoT Infrastructure, Computers and Electrical Engineering, DOI: https://doi.org/10.1016/j.compeleceng.2022.107754.
• S. Adhikari, S. Thapa, U. Naseem, P. Singh, H. Huo, G. Bharathy, M. Prasad, Exploiting Linguistic Information from Nepali Transcripts for Early Detection of Alzheimer’s Disease Using Natural Language Processing and Machine Learning Techniques, International Journal of Human Computer Studies, DOI: https://doi.org/10.1016/j.ijhcs.2021.102761.
• E. Ranjbar, M. B. Menhaj, A. A. Suratgar, J. A. Perez, M. Prasad, Modern Control Design for MEMS Tunable Capacitors in Voltage Reference Applications: A Comparative Study, International Journal of Dynamics and Control, DOI: https://doi.org/10.1007/s40435-021-00828-x.
• A. B. Sawad, B. Narayan, A. Alnefaie, A. Maqbool, I. Mckie, J. Smith, B. Yuksel, D. Puthal, M. Prasad, A. Baki Kocaballi, A Systematic Review on Healthcare Artificial Intelligent Conversational Agents for Chronic Conditions, Sensors, DOI: https://doi.org/10.3390/s22072625.
• A. Saxena, D. Chugh, H. Mittal, M. Sajid, R. Chauhan, E. Yafi, J. Cao, M. Prasad, A Novel Unsupervised Feature Selection Approach Using Genetic Algorithm on Partitioned Data, Advances in Artificial Intelligence and Machine Learning, DOI: http://hdl.handle.net/10453/168367.
• I. Alsolbi, M. Wu, Y. Zhang, S. Joshi, M. Sharma, S. Tafavogh, A. Sinha, M. Prasad, Different Approaches of Bibliometric Analysis for Data Analytics Applications in Non Profit Organisations, Journal of Smart Environments and Green Computing, DOI: http://dx.doi.org/10.20517/jsegc.2022.09.
• S. F. S. A. Rahman, M. H. Hesamian, M. Prasad, Citrus Disease Detection and Classification Using End to End Anchor Based Deep Learning Model, Applied Intelligence, DOI: https://doi.org/10.1007/s10489-021-02452-w.
• G. J. Hong, D. L. Li, S. Pare, A. Saxena, M. Prasad, C. T. Lin, Adaptive Decision Support System for On Line Multi Class Learning and Object Detection, Applied Sciences, DOI: https://doi.org/10.3390/app112311268..
• S. Pare, H. Mittal, M. Sajid, J. C. Bansal, A. Saxena, T. Jan, W. Pedrycz, M. Prasad, Remote Sensing Imagery Segmentation: A Hybrid Approach, Remote Sensing, DOI: https://doi.org/10.3390/rs13224604..
• C. Raj, A. Agarwal, G. Bharathy, B. Narayan, M. Prasad, Cyberbullying Detection: Hybrid Models Based on Machine Learning and Natural Language Processing Techniques, Electronics, DOI: https://doi.org/10.3390/electronics10222810..
• V. Kabade, R. Hooda, C. Raj, Z. Awan, A. S. Young, M. S. Welgampola, M. Prasad, Machine Learning Techniques for Differential Diagnosis of Vertigo and Dizziness: A Review, Sensors, DOI: https://doi.org/10.3390/s21227565..
• M. Sajid, J. Singh, R. A. Haidri, M. Prasad, V. Varadarajan, K. Kotecha, D. Garg, A Novel Algorithm for Capacitated Vehicle Routing Problem for Smart Cities, Symmetry, DOI: https://doi.org/10.3390/sym13101923..
• A. Elgharabawy, M. Prasad, C. T. Lin, Subgroup Preference Neural Network, Sensors, DOI: https://doi.org/10.3390/s21186104..
• U. Naseem, I. Razzak, S. K. Khan, M. Prasad, A Comprehensive Survey on Word Representation Models: From Classical to State of the Art Word Representation Language Models, Transactions on Asian and Low Resource Language Information Processing, DOI: https://doi.org/10.1145/3434237..
• E. Ranjbar, M. B. Menhaj, A. A. Suratgar, J. A. Perez, M. Prasad, Design of a Fuzzy PID Controller for a MEMS Tunable Capacitor for Noise Reduction in a Voltage Reference Source, SN Applied Sciences, DOI: https://doi.org/10.1007/s42452-021-04585-6..
• E. J. Cheng, M. Prasad, J. Yang, D. R. Zheng, X. Tao, D. Mery, K. Y. Young, C. T. Lin, A Novel Online Self Learning System with Automatic Object Detection Model for Multimedia Applications, Multimedia Tools and Applications, DOI: https://doi.org/10.1007/s11042-020-09055-6..
• K. P. Chou, M. Prasad, J. Yang, S. Y. Su, X. Tao, A. Saxena, W. C. Lin, C. T. Lin, A Robust Real Time Facial Alignment System with Facial Landmarks Detection and Rectification for Multimedia Applications, Multimedia Tools and Applications, DOI: https://doi.org/10.1007/s11042-020-09216-7..
• E. Ranjbar, A. A. Suratgar, M. B. Menhaj, M. Prasad, Design of a Fuzzy Adaptive Sliding Mode Control System for MEMS Tunable Capacitors in Voltage Reference Applications, IEEE Transactions on Fuzzy Systems, 30 (6), 1838–1852, DOI: 10.1109/TFUZZ.2021.3069333.
• P. K. Kashyap, S. Kumar, A. Jaiswal, M. Prasad, A. H. Gandomi, Towards Precision Agriculture: IoT Enabled Intelligent Irrigation Systems Using Deep Learning Neural Network, IEEE Sensors Journal, 21 (16), 17479–17491, DOI: 10.1109/JSEN.2021.3069266.
• D. Gupta, P. Borah, U. M. Sharma, M. Prasad, Data Driven Mechanism Based on Fuzzy Lagrangian Twin Parametric Margin Support Vector Machine for Biomedical Data Analysis, Neural Computing and Applications, 34, 11335–11345, DOI: https://doi.org/10.1007/s00521-021-05866-2..
• A. Jaiswal, S. Kumar, O. Kaiwartya, M. Prasad, N. Kumar, H. Song, Green Computing in IoT: Time Slotted Simultaneous Wireless Information and Power Transfer, Computer Communications, 168, 155–169, DOI: https://doi.org/10.1016/j.comcom.2020.12.024..
• K. K. Jena, S. K. Bhoi, M. Prasad, D. Puthal, A Fuzzy Rule Based Efficient Hospital Bed Management Approach for Coronavirus Disease 19 Infected Patients, Neural Computing and Applications, 34, 11361–11382, DOI: https://doi.org/10.1007/s00521-021-05719-y..
• A. M. Soomro, G. Bharathy, N. Biloria, M. Prasad, A Review on Motivational Nudges for Enhancing Building Energy Conservation Behavior, Journal of Smart Environments and Green Computing, DOI: 10.20517/jsegc.2020.03.
• D. Gupta, A. Choudhury, U. Gupta, P. Singh, M. Prasad, Computational Approach to Clinical Diagnosis of Diabetes Disease: A Comparative Study, Multimedia Tools and Applications, DOI: https://doi.org/10.1007/s11042-020-10242-8..
• A. Sikandar, R. Agrawal, M. K. Tyagi, A. L. N. Rao, M. Prasad, M. Binsawad, Toward Green Computing in Wireless Sensor Networks: Prediction Oriented Distributed Clustering for Non Uniform Node Distribution, EURASIP Journal on Wireless Communications and Networking, 2020, DOI: https://doi.org/10.1186/s13638-020-01788-0 (doi.org in Bing).
• C. S. R. Prabhu, T. Jan, M. Prasad, V. K. Varadarajan, Fog Analytics – A Survey, Malaysian Journal of Computer Science, 2020, DOI: https://ejournal.um.edu.my/index.php/MJCS/article/view/27340.
• T. W. Hsu, S. Pare, M. S. Meena, D. K. Jain, D. L. Li, A. Saxena, M. Prasad, C. T. Lin, An Early Flame Detection System Based on Image Block Threshold Selection Using Knowledge of Local and Global Feature Analysis, Sustainability, 2020, DOI: https://doi.org/10.3390/su12218899.
• A. K. Gupta, A. Seal, M. Prasad, P. Khanna, Salient Object Detection Techniques in Computer Vision — A Survey, Entropy, 2020, DOI: https://doi.org/10.3390/e22101174.
• L. C. Chang, S. Pare, M. S. Meena, D. Jain, D. L. Li, A. Saxena, M. Prasad, C. T. Lin, An Intelligent Automatic Human Detection and Tracking System Based on Weighted Resampling Particle Filtering, Big Data and Cognitive Computing, 2020, DOI: https://doi.org/10.3390/bdcc4040027.
• A. Saxena, S. Pare, M. S. Meena, D. Gupta, A. Gupta, I. Razzak, C. T. Lin, M. Prasad, A Two Phase Approach for Semi Supervised Feature Selection, Algorithms, 2020, DOI: https://doi.org/10.3390/a13090215.
• D. Mery, D. Saavedra, M. Prasad, X Ray Baggage Inspection with Computer Vision: A Survey, IEEE Access, 2020, DOI: http://doi.org/10.1109/ACCESS.2020.3015014.
• Y. Ming, D. Pelusi, C. N. Fang, M. Prasad, Y. K. Wang, D. Wu, C. T. Lin, EEG Data Analysis with Stacked Differentiable Neural Computers, Neural Computing and Applications, 2020, DOI: https://doi.org/10.1007/s00521-018-3879-1.
• A. Gupta, R. K. Agrawal, J. S. Kirar, B. Kaur, W. P. Ding, C. T. Lin, A. P. Javier, M. Prasad, A Hierarchical Meta Model for Multi Class Mental Task Based Brain Computer Interfaces, Neurocomputing, 2020, DOI: https://doi.org/10.1016/j.neucom.2018.07.094.
• N. Bharill, A. Tiwari, A. Malviya, O. P. Patel, A. Gupta, D. Puthal, A. Saxena, M. Prasad, Fuzzy Knowledge Based Performance Analysis on Big Data, Neurocomputing, 2020, DOI: https://doi.org/10.1016/j.neucom.2018.10.088.
• M. Tanveer, B. Richhariya, R. U. Khan, A. H. Rashid, P. Khanna, M. Prasad, C. T. Lin, Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease: A Review, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2020, DOI: https://doi.org/10.1145/3344998.
• D. L. Li, M. Prasad, C. L. Liu, C. T. Lin, Multi View Vehicle Detection Based on Fusion Part Model with Active Learning, IEEE Transactions on Intelligent Transportation Systems, 2020, DOI: http://doi.org/10.1109/TITS.2020.2982804.
• Z. Liu, J. Cao, Y. Tan, Q. Xiao, M. Prasad, Planning Above the API Clouds Before Flying Above the Clouds: A Real Time Personalized Air Travel Planning Approach, International Journal of Parallel Programming, 2020, DOI: https://doi.org/10.1007/s10766-019-00649-8.
• E. J. Cheng, M. Prasad, J. Yang, P. Khanna, B. H. Chen, X. Tao, K. Y. Young, C. T. Lin, A Fast Fused Part Based Model with New Deep Feature for Pedestrian Detection and Security Monitoring, Measurement, 2020, DOI: https://doi.org/10.1016/j.measurement.2019.107081.
• S. Prakash, S. Joshi, T. Bhatia, S. Sharma, D. Samadhiya, R. R. Shah, O. P. Kaiwartya, M. Prasad, Characteristic of Enterprise Collaboration System and Its Implementation Issues in Business Management, International Journal of Business Intelligence and Data Mining, 2020, DOI: http://doi.org/10.1504/IJBIDM.2020.103853
• K. Mehrin, J. Andreu, H. Hagras, C. T. Lin, M. Prasad, Effective Brain Connectivity with Fuzzy Cognitive Maps for fNIRS in Neuroergonomics, IEEE Transactions on Cognitive and Developmental Systems, 14 (1), DOI: 10.1109/TCDS.2019.2958423.
• Y. Ming, W. Ding, D. Pelusi, D. Wu, Y. K. Wang, M. Prasad, C. T. Lin, Subject Adaptation Network for EEG Data Analysis, Applied Soft Computing, 84, 105689, DOI: https://doi.org/10.1016/j.asoc.2019.105689..
• A. Aliyu, H. E. Sayed, A. H. Abdullah, I. Alam, J. Li, M. Prasad, Video Streaming in Urban Vehicular Environments: Junction Aware Multipath Approach, Electronics, 8 (11), DOI: https://doi.org/10.3390/electronics8111239..
• O. P. Patel, N. Bharill, A. Tiwari, V. Patel, O. Gupta, J. Cao, J. Li, M. Prasad, Advanced Quantum Based Neural Network Classifier and Its Application for Objectionable Web Content Filtering, IEEE Access, 7, 96166–96176, DOI: 10.1109/ACCESS.2019.2926989.
• C. T. Lin, J. T. King, P. Bharadwaj, C. H. Chen, A. Gupta, W. Ding, M. Prasad, EOG Based Eye Movement Classification and Application on HCI Baseball Game, IEEE Access, 7, 98069–98082, DOI: 10.1109/ACCESS.2019.2927755.
• E. J. Cheng, K. P. Chou, S. Rajora, B. H. Jin, M. Tanveer, C. T. Lin, K. Y. Young, W. C. Lin, M. Prasad, Deep Sparse Representation Classifier for Facial Recognition and Detection System, Pattern Recognition Letters, 125, 71–77, DOI: https://doi.org/10.1016/j.patrec.2019.03.006..
• A. Gupta, R. K. Agrawal, J. S. Kirar, A. P. Javier, W. P. Ding, C. T. Lin, M. Prasad, On the Utility of Power Spectral Techniques with Feature Selection Techniques for Effective Mental Task Classification in Non Invasive BCI, IEEE Transactions on Systems, Man and Cybernetics: Systems, 51 (5), 3080–3092, DOI: 10.1109/TSMC.2019.2917599.
• O. P. Patel, A. Tiwari, R. Chaudhary, S. V. Nuthalapati, N. Bharill, M. Prasad, F. K. Hussain, O. K. Hussain, Enhanced Quantum Based Neural Network Learning and Its Application to Signature Verification, Soft Computing, 23, 3067–3080, DOI: https://doi.org/10.1007/s00500-017-2954-3..
• D. Gupta, M. Pratma, M. Zhang, J. Li, M. Prasad, Financial Time Series Forecasting Based Twin Support Vector Regression, PLOS ONE, 14 (3), DOI: https://doi.org/10.1371/journal.pone.0211402..
• N. Bharill, O. P. Patel, A. Tiwari, M. Prasad, A Novel Quantum Inspired Fuzzy Based Neural Network for Data Classification, IEEE Transactions on Emerging Topics in Computing, 9 (2), 1031–1044, DOI: 10.1109/TETC.2019.2901272.
• N. Bharill, O. P. Patel, A. Tiwari, D. L. Li, M. Mohanthy, O. P. Kaiwartya, M. Prasad, A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering, IEEE Access, 7, 50347–50361, DOI: 10.1109/ACCESS.2019.2891956.
• J. T. King, M. Prasad, T. Tsai, Y. R. Ming, C. T. Lin, Influence of Time Pressure on Inhibitory Brain Control upon Emergency Driving, IEEE Transactions on Systems, Man and Cybernetics: Systems, 50 (11), 4408–4414, DOI: 10.1109/TSMC.2018.2850323.
• W. P. Ding, C. T. Lin, M. Prasad, Hierarchical Co Evolutionary Clustering Tree Based Rough Feature Game Equilibrium Selection and Its Application in Neonatal Cerebral Cortex MRI, Expert Systems with Applications, 101, 243–257, DOI: https://doi.org/10.1016/j.eswa.2018.01.053..
• R. K. Lenka, A. K. Rath, Z. Tan, S. Sharma, D. Puthal, N. V. R. Simha, R. Raja, S. S. Tripathi, M. Prasad, Building Scalable Cyber Physical Social Networking Infrastructure Using IoT and Low Power Sensors, IEEE Access, 2018, DOI: 10.1109/ACCESS.2018.2842760.
• H. E. Sayed, S. Sankar, Y. A. Daraghmi, P. Tiwari, E. Rattagan, M. Mohanty, D. Puthal, M. Prasad, Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non Parametric Classifier, Sensors, 2018, DOI: 10.3390/s18061696.
• C. T. Lin, M. Prasad, A. Gupta, Z. Ma, J. W. Lin, A. K. Singh, A. M. C. Machado, A. Appaji, J. T. King, Voice Navigation Effects on Real World Lane Change Driving, IEEE Access, 6, 26483–26492, DOI: 10.1109/ACCESS.2018.2820161.
• K. P. Chou, M. Prasad, Di Wu, N. Sharma, D. L. Li, M. Blumenstein, C. T. Lin, W. C. Lin, Robust Features Based Automated Multi View Action Recognition System, IEEE Access, 6, 15283–15296, DOI: 10.1109/ACCESS.2018.2809552.
• D. Puthal, M. S. Obaidat, S. P. Mohanty, M. Prasad, P. Nanda, A. Y. Zomaya, Secure and Sustainable Load Balancing of Edge Datacenters in Fog Computing, IEEE Communications Magazine, 2017, DOI: 10.1109/MCOM.2018.1700795.
• C. T. Lin, J. T. King, J. W. Fan, A. Appaji, M. Prasad, The Influence of Acute Stress on Brain Dynamics for Task Switching, IEEE Access, 6, 3249–3255, DOI: 10.1109/ACCESS.2017.2787673.
• H. E. Sayed, S. Sankar, M. Prasad, D. Puthal, A. Gupta, M. Mohanty, C. T. Lin, Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment, IEEE Access, 6, 1706–1717, DOI: 10.1109/ACCESS.2017.2780087.
• A. Saxena, M. Prasad, A. Gupta, N. Bharill, O. P. Pate, M. J. Er, W. Ding, C. T. Lin, A Review of Clustering Techniques and Developments, Neurocomputing, 267, 664–681, DOI: 10.1016/j.neucom.2017.06.053.
• C. T. Lin, M. Prasad, C. H. Chung, D. Puthal, S. Sankar, M. Mohanty, Y. K. Wang, J. Singh, A. K. Sangaiah, IoT Based Wireless Polysomnography Intelligent System for Sleep Monitoring, IEEE Access, 6, 405–414, DOI: 10.1109/ACCESS.2017.2765702.
• S. Sharma, D. Puthal, S. Tazeen, M. Prasad, A. Y. Zomaya, MSGR: A Mode Switched Grid Based Sustainable Routing Protocol for Wireless Sensor Networks, IEEE Access, 5, 19864–19875, DOI: 10.1109/ACCESS.2017.2746676.
• A. H. A. Hanan, M. Y. Idris, O. Kaiwartya, M. Prasad, Real Traffic Data Based Evaluation of Vehicular Traffic Environment and State of the Art with Future Issues in Location Centric Data Dissemination for VANETs, Digital Communication and Networks, 3 (3), 195–210, DOI: https://doi.org/10.1016/j.dcan.2017.04.002..
• O. Kaiwartya, A. H. Abdullah, Y. Cao, J. Lloret, S. Kumar, R. R. Shah, M. Prasad, S. Prakash, Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things, IEEE Internet of Things Journal, 5 (2), 571–580, DOI: 10.1109/JIOT.2017.2717704.
• W. P. Ding, C. T. Lin, M. Prasad, Z. H. Cao, J. D. Wang, A Layered Coevolution Based Attribute Boosted Reduction Using Adaptive Quantum Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue, IEEE Transactions on Fuzzy Systems, 26 (3), 1177–1191, DOI: 10.1109/TFUZZ.2017.2717381.
• O. Kaiwartya, M. Prasad, S. Prakash, A. H. Abdullah, D. Samadhiya, S. O. A. Rahman, An Investigation on Biometric Internet Security, International Journal of Network Security, 19 (2), 167–176, DOI: 10.6633/IJNS.201703.19(2).01.
• M. Prasad, Y. T. Liu, D. L. Li, C. T. Lin, R. R. Shah, O. P. Kaiwartya, A New Mechanism for Data Visualization with TSK Type Preprocessed Collaborative Fuzzy Rule Based System, Journal of Artificial Intelligence and Soft Computing Research, 7 (1), 33–46, DOI: 10.1515/jaiscr-2017-0003.
• S. Prakash, S. Joshi, T. Bhatia, S. Sharma, D. Samadhiya, R. R. Shah, O. Kaiwartya, M. Prasad, Characteristic of Enterprise Collaboration System and Its Implementation Issues in Business Management, International Journal of Business Intelligence and Data Mining, 2017, DOI: 10.1504/IJBIDM.2019.10010132.
• M. Prasad, C. T. Lin, C. T. Hong, J. Y. Chang, Soft Boosted Self Constructive Neuro Fuzzy Inference Network, IEEE Transactions on Systems, Man and Cybernetics: Systems, 47 (3), 584–588, DOI: 10.1109/TSMC.2015.2507139.
• J. Singh, M. Prasad, O. K. Prasad, M. J. Er, A. Saxena, C. T. Lin, A Novel Fuzzy Logic Model for Pseudo Relevance Feedback Based Query Expansion, International Journal of Fuzzy Systems, 18 (6), 980–989, DOI: 10.1007/s40815-016-0254-1.
• D. L. Li, M. Prasad, C. T. Lin, J. Y. Chang, Self Adjusting Feature Maps Network and Its Applications, Neurocomputing, 207, 78–94, DOI: https://doi.org/10.1016/j.neucom.2016.03.067..
• D. L. Li, M. Prasad, S. C. Hsu, C. T. Hong, C. T. Lin, Face Recognition Using Nonparametric Weighted Fisherfaces, EURASIP Journal of Advanced Signal Processing, 92, 1–11, DOI: 10.1186/1687-6180-2012-92.
• M. Prasad, Y. Y. Lin, C. T. Lin, M. J. Er, A New Data Driven Neural Fuzzy System with Collaborative Fuzzy Clustering Mechanism, Neurocomputing, 167, 558–568, DOI: https://doi.org/10.1016/j.neucom.2015.04.034..
• C. T. Lin, M. Prasad, A. Saxena, An Improved Polynomial Neural Network Classifier Using Real Coded Genetic Algorithm, IEEE Transactions on Systems, Man and Cybernetics: Systems, 45 (11), 1389–1401, DOI: 10.1109/TSMC.2015.2406855.
• W. P. Ding, C. T. Lin, M. Prasad, S. B. Chen, Z. J. Guan, Attribute Equilibrium Dominance Reduction Accelerator (DCCAEDR) Based on Distributed Co Evolutionary Cloud and Its Application in Medical Records, IEEE Transactions on Systems, Man and Cybernetics: Systems, 46 (3), 384–400, DOI: 10.1109/TSMC.2015.2464787.
• M. Prasad, D. L. Li, C. T. Lin, J. Singh, S. Prakash, Designing Mamdani Type Fuzzy Reasoning for Visualizing Prediction Problems Based on Collaborative Fuzzy Clustering, IAENG International Journal of Computer Science, 42 (4), 404–411, DOI: http://hdl.handle.net/10453/116463..
• O. Kaiwartya, A. H. Abdullah, Y. Cao, A. Altameem, M. Prasad, C. T. Lin, X. Liu, Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges and Future Aspects, IEEE Access, 4, 5356–5373, 2016, DOI: 10.1109/ACCESS.2016.2603219.

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