Faculty Members

Dr.Usman Tariq Tariq Masood

Associate Professor Department of Information Systems College of Computer Engineering & Sciences

Office # BS-18, Building # 13
011-588-8386
u.tariq@psau.edu.sa

Curriculum Vitae
Publications

Education

B.S.C.S. University of Management and Technology, Pakistan
M.S. Graduate School of Information & Communication, Ajou University, South Korea
PhD Graduate School of Information & Communication, Ajou University, South Korea

Research Interests

My research interests include context aware technology for people with special needs, routing in multi-channel multi-radio Wireless Mesh Networks, computer security and privacy, and public policy issues relating to information technology. Specific topics include Network and Information Security; Predictive Analytics; Scalable Systems; Data Management Systems; Ubiquitous Computing

Experience

2010 - 2012 - Assistant Professor - IMAMU
2019 - until now - Associate Professor - PSAU
2012 - 2019 - Assistant Professor - PSAU

Responsibilities

Assisting with student recruitment, interviews, and academic counseling sessions
Reviewer for methods and teaching materials to make recommendations for improvement
Developing curricula
Presenting lectures
IS Department Committee Head for Postgrad Studies
Leading and motivating research in IS Department

Publications

~~~ Book Chapter(s) ~~~
S Jha, U Tariq, GP Joshi and VK Solanki, "Industrial Internet of Things Technologies, Design, and Applications", ISBN 9780367607777 by CRC Press 1, (2022): 248 pages
Jan Nikodem, Marek Woda, Maciej Nikodem, Usman Tariq and Ryszard Klempous, (2011), Energy Awareness Spatial Routing in Wireless Sensors Network, ISBN 9781468128994
Usman Tariq, (2011), Security Cottage: a Secure Environment for IEEE 802.15.4 Devices, ISBN # 978-1456442705
~~~ Selected Journal Papers ~~~
Awais, M, Paara, M, Ahmed, A, & Tariq, U (2022). Energy Efficient Design of Fast Fourier Transform using Reversible Logic. Sustainable Energy Technologies and Assessments 52 (C), 1-15, https://doi.org/10.1016/j.seta.2022.102257
Sharif, MI, Li, JP, Khan, MA, Kadry, S, & Tariq, U (2022). M3BTCNet: multi model brain tumor classification using metaheuristic deep neural network features optimization. Neural Computing and Applications, 34, 1-16, https://doi.org/10.1007/s00521-022-07204-6
Ullah, A, Zhaoyun, S, Tariq, U, Uddin, MI, Khatoon, A, & Rizvi, SS (2022). Gray-Level Image Transformation of Paved Road Cracks with Metaphorical and Computational Analysis. Mathematical Problems in Engineering, 2022, 1-14, https://doi.org/10.1155/2022/8013474 Usman Tariq, Tariq Ahamed Ahanger, Atef Ibrahim, Yassine Saleh Bouteraa, “The Industrial Internet of Things (IIoT): an Anomaly Identification and Countermeasure Method”, in proceedings of Journal of Circuits, Systems, and Computers, 2022
Usman Tariq, “Rampant Smoothing (RTS) Algorithm: an Optimized Consensus Mechanism for Private Blockchain Enabled Technologies”, Accepted (to be published) in proceedings of EURASIP Journal on Wireless Communications and Networking, 2022.
Bouteraa Y, Alattas KA, Mobayen S, Golestani M, Ibrahim A, Tariq U. Disturbance Observer-Based Tracking Controller for Uncertain Marine Surface Vessel. Actuators. 2022; 11(5):128. https://doi.org/10.3390/act11050128
Abid, R, Rizwan, M, Veselý, P, Basharat, A, Tariq, U, & Javed, AR (2022). Social Networking Security during COVID-19: A Systematic Literature Review. Wireless Communications and Mobile Computing, 2022, pp. 1-21, https://doi.org/10.1155/2022/2975033
Ahanger, T.A.; Tariq, U.; Ibrahim, A.; Ullah, I.; Bouteraa, Y.; Gebali, F. Securing IoT-Empowered Fog Computing Systems: Machine Learning Perspective. Mathematics 2022, 10, 1298. https://doi.org/10.3390/math10081298
A. Abbasi, A. R. Javed, A. Yasin, Z. Jalil, N. Kryvinska and U. Tariq, "A Large-Scale Benchmark Dataset for Anomaly Detection and Rare Event Classification for Audio Forensics," in IEEE Access, doi: 10.1109/ACCESS.2022.3166602.
Ibrahim, A.; Gebali, F.; Bouteraa, Y.; Tariq, U.; Ahamad, T.; Nazih, W. Low-Space Bit-Parallel Systolic Structure for AOP-Based Multiplier Suitable for Resource-Constrained IoT Edge Devices. Mathematics 2022, 10, 815. https://doi.org/10.3390/math10050815
Alroobaea, R., Arul, R., Rubaiee, S. et al. AI-assisted bio-inspired algorithm for secure IoT communication networks. Cluster Comput (2022). https://doi.org/10.1007/s10586-021-03520-z
KhoKhar, Fahad Ahmed, Shah, Jamal Hussain, Khan, Muhammad Attique, Tariq, Usman & ..., Muhammad (2022). A review on federated learning towards image processing. Computers & Electrical Engineering, 99, https://doi.org/10.1016/j.compeleceng.2022.107818
Aqeel, A.; Hassan, A.; Khan, M.A.; Rehman, S.; Tariq, U.; Kadry, S.; Majumdar, A.; Thinnukool, O. A Long Short-Term Memory Biomarker-Based Prediction Framework for Alzheimer’s Disease. Sensors 2022, 22, 1475. https://doi.org/10.3390/s22041475
Nasir, Inzamam Mashood, Raza, Mudassar, Shah, Jamal Hussain, Tariq, Usman, & ..., Shui-Hua Wang (2022). HAREDNet: A deep learning based architecture for autonomous video surveillance by recognizing human actions. Computers & Electrical Engineering, 99, pp:1-17.
P. Yuhuai et al., "Securing Radio Resources Allocation with Deep Reinforcement Learning for IoE Services in Next-generation Wireless Networks," in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2022.3149750.
M. Dibaei et al., "Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks: A Survey," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 2, pp. 683-700, Feb. 2022, doi: 10.1109/TITS.2020.3019101.
Masood H, Zafar A, Ali MU, Hussain T, Khan MA, Tariq U, Damaševičius R. Tracking of a Fixed-Shape Moving Object Based on the Gradient Descent Method. Sensors. 2022; 22(3):1098. https://doi.org/10.3390/s22031098
Ahmad, AU Ishfaq, Xu, Sheng Jun, Khatoon, Amna, Tariq, Usman, Khan, Inayat, & ..., Sanam 2022, 'Analytical Study of Deep Learning-Based Preventive Measures of COVID-19 for Decision Making and Aggregation via the RISTECB Model', Scientific Programming, vol. 2022, pp. 1-17
Afza F, Sharif M, Khan MA, Tariq U, Yong H-S, Cha J. Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine. Sensors. 2022; 22(3):799. https://doi.org/10.3390/s22030799
Jabeen, K.; Khan, M.A.; Alhaisoni, M.; Tariq, U.; Zhang, Y.-D.; Hamza, A.; Mickus, A.; Damaševičius, R. Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion. Sensors 2022, 22, 807. https://doi.org/10.3390/s22030807
Ashraf, A., Iqbal, Z., Khan, M.A. et al. Scalable offloading using machine learning methods for distributed multi-controller architecture of SDN networks. J Supercomput (2022). https://doi.org/10.1007/s11227-022-04313-w
Awan, S., Mehmood, Z., Chaudhry, H. N., Tariq, U., Rehman, A. et al. (2022). Profiling Casualty Severity Levels of Road Accident Using Weighted Majority Voting. CMC-Computers, Materials & Continua, 71(3), 4609–4626.
Nawaz M, Nazir T, Javed A, Tariq U, Yong H-S, Khan MA, Cha J. An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization. Sensors. 2022; 22(2):434. https://doi.org/10.3390/s22020434
Ashraf, M., Hassan, S., Rubab, S., U. Tariq, et al. Energy-efficient dynamic channel allocation algorithm in wireless body area network. Environment, Development and Sustainability (2022). https://doi.org/10.1007/s10668-021-02037-0
Bibi, A., Khan, M. A., Javed, M. Y., Tariq, U., Kang, B. et al. (2022). Skin Lesion Segmentation and Classification Using Conventional and Deep Learning Based Framework. CMC-Computers, Materials & Continua, 71(2), 2477–2495.
S. Liao, J. Wu, A. K. Bashir, W. Yang, J. Li and U. Tariq, "Digital Twin Consensus for Blockchain-Enabled Intelligent Transportation Systems in Smart Cities," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3134002.
Yasmeen, U., Khan, M. A., Tariq, U., Khan, J. A., Asfand, M. et al. (2022). Citrus Diseases Recognition Using Deep Improved Genetic Algorithm. CMC-Computers, Materials & Continua, 71(2), 3667–3684.
Majid, A., Khan, M. A., Alhaisoni, M., Asfand, M., Tariq, U. et al. (2022). An Integrated Deep Learning Framework for Fruits Diseases Classification. CMC-Computers, Materials & Continua, 71(1), 1387–1402.
Aamir, K. M., Ramzan, M., Skinadar, S., Khan, H. U., Tariq, U. et al. (2022). Automatic Heart Disease Detection by Classification of Ventricular Arrhythmias on ECG Using Machine Learning. CMC-Computers, Materials & Continua, 71(1), 17–33.
Rehman, M. U., Ahmed, F., Khan, M. A., Tariq, U., Alfouzan, F. A. et al. (2022). Dynamic Hand Gesture Recognition Using 3D-CNN and LSTM Networks. CMC-Computers, Materials & Continua, 70(3), 4675–4690.
Khayam, K. N., Mehmood, Z., Chaudhry, H. N., Ashraf, M. U., Tariq, U. et al. (2022). Local-Tetra-Patterns for Face Recognition Encoded on Spatial Pyramid Matching. CMC-Computers, Materials & Continua, 70(3), 5039–5058.
Hanif, M. A., Akram, T., Shahzad, A., Khan, M. A., Tariq, U. et al. (2022). Smart Devices Based Multisensory Approach for Complex Human Activity Recognition. CMC-Computers, Materials & Continua, 70(2), 3221–3234.
Raghuwanshi, G., Gupta, Y., Sinwar, D., Singh, D., Tariq, U. et al. (2022). Image Segmentation Based on Block Level and Hybrid Directional Local Extrema. CMC-Computers, Materials & Continua, 70(2), 3939–3954.
K., Singla, J., Bashir, A. K., Nam, Y., Hasan, N. U. et al. (2022). Handling Class Imbalance in Online Transaction Fraud Detection. CMC-Computers, Materials & Continua, 70(2), 2861–2877.
Hussain, N., Khan, M. A., Tariq, U., Kadry, S., Yar, M. E. et al. (2022). Multiclass Cucumber Leaf Diseases Recognition Using Best Feature Selection. CMC-Computers, Materials & Continua, 70(2), 3281–3294.
Khan, A., Khan, M. A., Javed, M. Y., Alhaisoni, M., Tariq, U. et al. (2022). Human Gait Recognition Using Deep Learning and Improved Ant Colony Optimization. CMC-Computers, Materials & Continua, 70(2), 2113–2130.
Mehmood, A., Khan, M. A., Tariq, U., Jeong, C., Nam, Y. et al. (2022). Human Gait Recognition: A Deep Learning and Best Feature Selection Framework. CMC-Computers, Materials & Continua, 70(1), 343–360.
Imran, T., Khan, M. A., Sharif, M., Tariq, U., Zhang, Y. et al. (2022). Malaria Blood Smear Classification Using Deep Learning and Best Features Selection. CMC-Computers, Materials & Continua, 70(1), 1875–1891.
Masood, H., Zafar, A., Ali, M. U., Khan, M. A., Ahmed, S. et al. (2022). Recognition and Tracking of Objects in a Clustered Remote Scene Environment. CMC-Computers, Materials & Continua, 70(1), 1699–1719.
Shah, F. A., Khan, M. A., Sharif, M., Tariq, U., Khan, A. et al. (2022). A Cascaded Design of Best Features Selection for Fruit Diseases Recognition. CMC-Computers, Materials & Continua, 70(1), 1491–1507.
Zia, M., Ahmed, F., Khan, M. A., Tariq, U., Jamal, S. S. et al. (2022). Classification of Citrus Plant Diseases Using Deep Transfer Learning. CMC-Computers, Materials & Continua, 70(1), 1401–1417.
Dibaei, M, Zheng, X, Xia, Y, Xu, X, Jolfaei, A, Bashir, AK, Tariq, U, Yu, D, & ... (2021). Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: a survey. IEEE Transactions on Intelligent Transportation Systems, 1-18
Ansari, G Jillani, HussainShah, J, Khan, M Attique, Sharif, M, Tariq, U, & ... 2021, 'A Non-Blind Deconvolution Semi Pipelined Approach to Understand Text in Blurry Natural Images for Edge Intelligence', Information Processing & Management, vol. 58, no. 6, p. 19
Khan, ZA, Karim, OA, Abbas, S, Javaid, N, Zikria, Y bin, & Tariq, U (2021). Q-learning based energy-efficient and void avoidance routing protocol for underwater acoustic sensor networks. Computer Networks, 108309
Aziz, A, Attique, M, Tariq, U, Nam, Y, Nazir, M, Jeong, CW, Mostafa, RR, & ... (2021). An Ensemble of Optimal Deep Learning Features for Brain Tumor Classification. Computers, Materials and Continua, 69(2), 2653-2670
Nawaz, M, Mehmood, Z, Nazir, T, Masood, M, Tariq, U, Mehmood, AM, & ... (2021). Image Authenticity Detection Using DWT and Circular Block-Based LTrP Features. Computers, Materials & Continua, 69(2), 1927-1944
Arul, R, Alroobaea, R, Mechti, S, Rubaiee, S, Andejany, M, Tariq, U, & Iftikhar, S (2021). Intelligent data analytics in energy optimization for the internet of underwater things. Soft Computing, 1-13. https://doi.org/10.1007/s00500-021-06002-x
Masood, H, Zafar, A, Ali, MU, Khan, MA, Iqbal, K, Tariq, U, & Kadry, S (2021). Optimization of Correlation Filters Using Extended Particle Swarm Optimization Technique. Computational and Mathematical Methods in Medicine, 2021, 1-13
A. Rehman, T. Saba, U. Tariq and N. Ayesha, "Deep Learning-Based COVID-19 Detection Using CT and X-Ray Images: Current Analytics and Comparisons," in IT Professional, vol. 23, no. 3, pp. 63-68, 1 May-June 2021, doi: 10.1109/MITP.2020.3036820.
T. Saba, K. Haseeb, A. A. Shah, A. Rehman, U. Tariq and Z. Mehmood, "A Machine-Learning-Based Approach for Autonomous IoT Security," in IT Professional, vol. 23, no. 3, pp. 69-75, 1 May-June 2021, doi: 10.1109/MITP.2020.3031358.
Ahanger, T.A., Tariq, U., Nusir, M. et al. A novel IoT–fog–cloud-based healthcare system for monitoring and predicting COVID-19 outspread. Journal Of Supercomputing (2021). https://doi.org/10.1007/s11227-021-03935-w
Arul, R, Alroobaea, R, Tariq, U, Almulihi, AH, Alharithi, FS, & Shoaib, U (2021). IoT-enabled healthcare systems using block chain-dependent adaptable services. Personal and Ubiquitous Computing, 1-15. doi:10.1007/s00779-021-01584-7
Ibrahim, A, Gebali, F, Bouteraa, Y, Tariq, U, Ahanger, T, & Alnowaiser, K (2021). Compact Bit-Parallel Systolic Multiplier Over GF(2m). IEEE Canadian Journal of Electrical and Computer Engineering, 44(2), 199-205
Li, Q, Meng, S, Sang, X, Zhang, H, Wang, S, Bashir, AK, Yu, K, & Tariq, U (2021). Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing. ACM Transactions on Internet Technology, 21(3), 1-33
A. Majid, M. A. Khan, Y. Nam, U. Tariq, S. Roy et al., "Covid19 classification using ct images via ensembles of deep learning models," Computers, Materials & Continua, vol. 69, no.1, pp. 319–337, 2021.
J. Naz, M. A. Khan, M. Alhaisoni, O. Song, U. Tariq et al., "Segmentation and classification of stomach abnormalities using deep learning," Computers, Materials & Continua, vol. 69, no.1, pp. 607–625, 2021.
A Rehman, K Haseeb, T Saba, J Lloret and U Tariq, "Secured Big Data Analytics for Decision-Oriented Medical System Using Internet of Things", Electronics 10, no.11 (2021): 1-13
M Tanveer, T Shah, A Rehman, A Ali, GF Siddiqui, T Saba and U Tariq, "Multi-Images Encryption Scheme Based on 3D Chaotic Map and Substitution Box", IEEE Access 9, (2021): 73924-73937
AR Khan, F Doosti, M Karimi, M Harouni, U Tariq, SM Fati and SA Bahaj, "Authentication through gender classification from iris images using support vector machine", Microscopy Research and Technique (MRT) (2021): 1-14
Amin, J, Anjum, MA, Sharif, M, Saba, T, & Tariq, U (2021). An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach. Microscopy Research and Technique, 14, https://doi.org/10.1002/jemt.23779
Sarwar, A, Javed, K, Khan, MJ, Rubab, S, Song, OY, & Tariq, U (2021). Enhanced Accuracy for Motor Imagery Detection Using Deep Learning for BCI. Computers, Materials & Continua, 68(3), 3825-3840, https://techscience.com/cmc/v68n3/42489
Khan, MA, Alhaisoni, M, Armghan, A, Alenezi, F, Tariq, U, Nam, Y, & Akram, T (2021). Video Analytics Framework for Human Action Recognition. Computers, Materials & Continua, 68(3), 3841-3859, doi:10.32604/cmc.2021.016864
Sadad, T, Khan, AR, Hussain, A, Tariq, U, Fati, SM, Bahaj, SA, & Munir, A (2021). Internet of medical things embedding deep learning with data augmentation for mammogram density classification. Microscopy Research and Technique (MRT), published: 27 April 2021, https://doi.org/10.1002/jemt.23773
Abirami, RN, Vincent, PMDR, Srinivasan, K, Tariq, U, & Chang, CY (2021). Deep CNN and Deep GAN in Computational Visual Perception-Driven Image Analysis. Complexity, 2021, 1-30
M. Usman, Z. Naz, J. Khan, T. Saba, I. Abunadi et al., "Cognitive skill enhancement system using neuro-feedback for adhd patients," Computers, Materials & Continua, vol. 68, no.2, pp. 2363–2376, 2021. doi:10.32604/cmc.2021.014550
M. S. Khan, A. Anjum, T. Saba, A. Rehman and U. Tariq, "Improved Generalization for Secure Personal Data Publishing Using Deviation," in IT Professional, vol. 23, no. 2, pp. 75-80, 1 March-April 2021, doi: 10.1109/MITP.2020.3030323.
S. Anbalagan et al., "Machine Learning-based Efficient and Secure RSU Placement Mechanism for Software Defined-IoV," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3069642.
Usman Tariq et al. A Pervasive Computational Intelligence based Cognitive Security Co-design Framework for Hype-connected Embedded Industrial IoT. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 16, n. 2, mar. 2021. ISSN 1841-9844. https://doi.org/10.15837/ijccc.2021.2.4029
Munish Bhatia, Tariq Ahamed Ahanger, Usman Tariq, Atef Ibrahim, “Cognitive intelligence in fog computing-inspired veterinary healthcare”, Computers & Electrical Engineering, 2021, https://doi.org/10.1016/j.compeleceng.2021.107061
Arul, R., Al-Otaibi, Y.D., Alnumay, W.S., Usman Tariq, et al. Multi-modal secure healthcare data dissemination framework using blockchain in IoMT. Pers Ubiquit Comput (2021). https://doi.org/10.1007/s00779-021-01527-2
Abbas, A., Krichen, M., Alroobaea, R., Usman Tariq, et al. An opportunistic data dissemination for autonomous vehicles communication. Soft Comput (2021). https://doi.org/10.1007/s00500-020-05542-y
Sarang Karim, Faisal Karim Shaikh, Bhawani Shankar Chowdhry, Zahid Mehmood, Usman Tariq, Rizwan Ali Naqvi, Adnan Ahmed, "GCORP: Geographic and Cooperative Opportunistic Routing Protocol for Underwater Sensor Networks," in IEEE Access, doi: 10.1109/ACCESS.2021.3058600.
Saqib Iqbal, Ghazanfar Farooq Siddiqui, Amjad Rehman, Lal Hussain, Tanzila Saba, Usman Tariq, Adeel Ahmed Abbasi, "Prostate Cancer Detection using Deep Learning and Traditional Techniques," in IEEE Access, doi: 10.1109/ACCESS.2021.3057654 .
Rabia Javed, Mohd Shafry Mohd Rahim, Tanzila Saba, Suliman Mohamed Fati, Usman Tariq, "Statistical histogram decision based contrast categorization of skin lesion datasets dermoscopic images," Computers, Materials & Continua, vol. 67, no.2, pp. 2337–2352, 2021.
Ahmed M. Elmogy, Usman Tariq, Ammar Mohammed and Atef Ibrahim, “Fake Reviews Detection using Supervised Machine Learning” International Journal of Advanced Computer Science and Applications(IJACSA), 12(1), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120169
Tariq Sadad, Amjad Rehman, Asim Munir, Tanzila Saba, Usman Tariq, Noor Ayesha, Rashid Abbasi. "Brain tumor detection and multi‐classification using advanced deep learning techniques". Microsc Res Tech. 2021; 1– 13. https://doi.org/10.1002/jemt.23688
Haseeb, K.; Islam, N.; Javed, Y.; Tariq, U. A Lightweight Secure and Energy-Efficient Fog-Based Routing Protocol for Constraint Sensors Network. Energies 2021, 14, 89. https://doi.org/10.3390/en14010089
S, V., A, J., R, S., Mohan, S., Bhattacharya, S., Kaluri, R., Feng, G., & Tariq, U. (2020). Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting. International Journal of Distributed Sensor Networks. https://doi.org/10.1177/1550147720971505
Khan, M.U., Javed, A.R., Ihsan, M., U. Tariq, et al. A novel category detection of social media reviews in the restaurant industry. Multimedia Systems (2020). https://doi.org/10.1007/s00530-020-00704-2
Usman Tariq, A. O. Aseeri, M. S. Alkatheiri and Y. Zhuang, "Context-aware autonomous security assertion for Industrial IoT," in IEEE Access, doi: 10.1109/ACCESS.2020.3032436.
Jianhui Wang, Keyi Wan, Xu Gao, Xuhong Cheng, Yu Shen, Zheng Wen, Usman Tariq, Md. Jalil Piran. "Energy and Materials-Saving Management via Deep Learning for Wastewater Treatment Plants," in IEEE Access, doi: 10.1109/ACCESS.2020.3032531.
G, T.R., Bhattacharya, S., Maddikunta, P.K.R., Usman Tariq, et al. Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset. Multimed Tools Appl (2020). https://doi.org/10.1007/s11042-020-09988-y
Rehman, A, Khan, MA, Saba, T, Mehmood, Z, Tariq, U, Ayesha, N. Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture. Microsc Res Tech. 2020; 1– 17. https://doi.org/10.1002/jemt.23597
K. Haseeb, K. M. Almustafa, Z. Jan, T. Saba and U. Tariq, "Secure and Energy-aware Heuristic Routing Protocol for Wireless Sensor Network," in IEEE Access, doi: 10.1109/ACCESS.2020.3022285.
Sampath, P.; Packiriswamy, G.; Pradeep Kumar, N.; Shanmuganathan, V.; Song, O.-Y.; Tariq, U.; Nawaz, R. IoT Based Health—Related Topic Recognition from Emerging Online Health Community (Med Help) Using Machine Learning Technique. Electronics 2020, 9, 1469. https://doi.org/10.3390/electronics9091469
T. A. Ahanger, U. Tariq, A. Ibrahim, I. Ullah and Y. Bouteraa, "ANFIS-inspired Smart Framework for Education Quality Assessment," in IEEE Access, doi: 10.1109/ACCESS.2020.3019682.
Ahanger, T.A.; Tariq, U.; Ibrahim, A.; Ullah, I.; Bouterra, Y. IoT-Inspired Framework of Intruder Detection for Smart Home Security Systems. Electronics 2020, 9, 1361.
Joshi, G.P.; Perumal, E.; Shankar, K.; Tariq, U.; Ahmad, T.; Ibrahim, A. Toward Blockchain-Enabled Privacy-Preserving Data Transmission in Cluster-Based Vehicular Networks. Electronics 2020, 9, 1358.
Muhammad Zeeshan Khan, Saira Jabeen, Muhammad Usman Ghani Khan, Tanzila Saba, Asim Rehmat, Amjad Rehman, Usman Tariq, "A Realistic Image Generation of Face from Text Description using the Fully Trained Generative Adversarial Networks" in IEEE Access, doi: 10.1109/ACCESS.2020.3015656.
I. Ullah, R. Boreli, S. S. Kanhere, S. Chawla, T. A. Ahanger and U. Tariq, "Protecting Private Attributes in App based Mobile User Profiling," in IEEE Access, doi: 10.1109/ACCESS.2020.3014424.
Tariq, U., Aldaej, A. Advancing an in-memory computing for a multi-accent real-time voice frequency recognition modeling: a comprehensive study of models & mechanism. Multimed Tools Appl (2020). https://doi.org/10.1007/s11042-020-09355-x
Usman Tariq et al., "Fuzzy Logic-Based Novel Hybrid Fuel Framework for Modern Vehicles" in IEEE Access, doi: 10.1109/ACCESS.2020.3010067.
Usman Tariq et al., "A novel fog-based multi-level energy-efficient framework for IoT-enabled smart environments" in IEEE Access, doi: 10.1109/ACCESS.2020.3010157
Chen, Shengbo, Lanxue Zhang, Yuanmin Tang, Cong Shen, Roshan Kumar, Keping Yu, Usman Tariq, and Ali Kashif Bashir. "Indoor temperature monitoring using wireless sensor networks: A SMAC application in smart cities." Sustainable Cities and Society 61 (2020): 102333.
F. Qiao, J. Wu, J. Li, A. K. Bashir, S. Mumtaz and Usman Tariq, "Trustworthy Edge Storage Orchestration in Intelligent Transportation Systems Using Reinforcement Learning," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2020.3003211.
Venkata Subbaraju Dommaraju, Karthik Nathani, Usman Tariq, Fadi Al-Turjman, Suresh Kallam, Praveen Kumar Reddy M, Rizwan Patan, "ECMCRR-MPDNL for Cellular Network Traffic Prediction with Big Data," in IEEE Access, doi: 10.1109/ACCESS.2020.3002380
Yassine Bouteraa, Ismail Ben Abdallah, Ahmed ElMogy, Atef Ibrahim, Usman Tariq, Tariq Ahmad. A Fuzzy Logic Architecture for Rehabilitation Robotic Systems. International Journal of Computers Communications & Control, [S.l.], v. 15, n. 4, june 2020. ISSN 1841-9844. https://doi.org/10.15837/ijccc.2020.4.3814
Gyanendra Prasad Joshi, Jimmy Singla, Balwinder Kaur, Deepak Prashar, Sudan Jha, Kyungyun Park , Usman Tariq, "A Novel Fuzzy Logic-Based Medical Expert System for Diagnosis of Chronic Kidney Disease", Mobile Information Systems (Hindawi), 2020, https://doi.org/10.1155/2020/8887627
Deepa, N., B. Prabadev, P. M. Kumar Reddy, G. Thippa Reddy, T. Baker, A. M. Khan, and U. Tariq. "An AI-based Intelligent System for Healthcare Analysis Using Ridge–Adaline Stochastic Gradient Descent Classifier." Journal of Supercomputing (2020).
Usman Sarwar, M, Rehman Javed, A, Kulsoom, F, Khan, S, Tariq, U, Kashif Bashir, A. PARCIV: Recognizing physical activities having complex interclass variations using semantic data of smartphone. Softw Pract Exper. 2020; 1– 18. https://doi.org/10.1002/spe.2846
Campioni, Fabio, Salimur Choudhury, Usman Tariq, and Ali Kashif Bashir. "Recruitment algorithms for vehicular sensor networks." Computer Communications (2020).
Majid, A, Khan, MA, Yasmin, M, Rehman, A, Yousafzai, A, Tariq, U. Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection. Microsc Res Tech. 2020; 1– 15. https://doi.org/10.1002/jemt.23447
Bhattacharya, S.; S, S.R.; M, P.K.R.; Kaluri, R.; Singh, S.; G, T.R.; Alazab, M.; Tariq, U. A Novel PCA-Firefly based XGBoost classification model for Intrusion Detection in Networks using GPU. Electronics 2020, 9, 219. https://doi.org/10.3390/electronics9020219
Tariq, Usman; Ibrahim, Atef; Ahanger, Tariq; Bouteraa, Yassine; Elmogy, Ahmed: 'Blockchain in IoT: a necessity framework for security, reliability, transparency, immutability and liability', IET Communications, 2019, DOI: 10.1049/iet-com.2019.0194 IET Digital Library,
https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0194
Usman Tariq, “Intrusion Detection and Anticipation System (IDAS) for IEEE 802.15.4 Devices”, Intelligent Automation & Soft Computing (AUTOSOFT) Journal, 06/2019, DOI: 10.31209/2018.100000040, Impact Factor: 0.6
Ibrahim, A., Tariq, U., Ahmad, T., Elmogy, A., Bouteraa, Y. and Gebali, F., 2019. Efficient Parallel Semi-Systolic Array Structure for Multiplication and Squaring in GF (2m). IEICE Electronics Express, pp.16-20190268.
Tariq Ahamed Ahanger, Usman Tariq, Muneer Nusir,"Mobility of Internet of Things and Fog Computing: Serious Concerns and Future Paths”. International Journal of Communication Networks and Information Security, Vol. 10, No. 3, December 2018.
Usman Tariq, Abdulaziz Aldaej, “Outlook of Coordinated Transmission Control in 5G Networks for IoTs’, International Journal of Computers Communications & Control, Vol. 13 No. 2, April 2018
Usman Tariq, “Security Prospect of Healthcare in IoT arena”, International Journal of Computer Science and Network Security, VOL.18 No.01, January 2018
Mustafa Al-Fayoumi, Yasir Ahmad and Usman Tariq, “A Heterogeneous Framework to Detect Intruder Attacks in Wireless Sensor Networks” International Journal of Advanced Computer Science and Applications (IJACSA), 7(12), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071207
Usman Tariq, (2016). A Review of Scenarios and Enabling Technology Directions for 5G Wireless Communications. Indian Journal of Science and Technology, 9(4), 1–5. doi:10.17485/ijst/2016/v9i4/80420, ISSN (Print) : 0974-6846, ISSN (Online) : 0974-5645
Usman Tariq, "Low Latency Adversarial Transmission Control in 5G Networks for IoTs: Detection, equalization, synchronization, estimation", Ubiquitous Computing and Communication Journal, ISSN 1992-8424, 2016
Usman Tariq, Abdullah Al Jumah, Mustafa Al-Fayoumi, “End-to-End Route Reliability in Pervasive Multi-Channel Multi-Radio (PMCMR) Scheme for MANETS”, Journal of Applied Sciences, [ISSN # 1812-5654], 2015
Usman Tariq, " Envisioning the Future Security Framework for 5G enabler Technologies", Ubiquitous Computing and Communication Journal, ISSN 1992-8424, 2015
Junaid Ahsenali Chaudhry, Usman Tariq, Mohammed Arif Amin, Robert G. Rittenhouse, “Sinkhole Vulnerabilities in Wireless Sensor Networks”, International Journal of Security and Its Applications, 2014
Yanji Piao, JongUK Kim, Usman Tariq, Manpyo Hong, “Polynomial-based Key Management for Secure Intra-group and Inter-group Communication”, in Computers & Mathematics with Applications (CMA) Journal – Elsevier, [ISSN # 0898-1221] - Impact Factor: 1.532, 2012,
http://dx.doi.org/10.1016/j.camwa.2012.02.008
Yasir Malik, Kishwer Abdul Khaliq, Bessam Abdulrazak and Usman Tariq, “Mobile Node Localization in Cellular Networks“. International Journal of Wireless & Mobile Networks (IJWMN) (ISSN:0975-3834 (Online); 0975-4679 (Print)), PP: 91-100, 2011
Usman Tariq, ManPyo Hong, “Light weight majority voting based data accuracy assurance scheme for wireless sensor networks using quad tree topology” Autosoft Journal [ISSN # 1079-8587] - Impact Factor: 0.187, 2005
Yonhee Park, Usman Tariq, ManPyo Hong, “Distributed Worm Detection and Prevention Model with Light-Weight Agent”, Journal of Korean Institute of Information Scientists and Engineers [KIISE] [ISSN # 1229-7712] - Impact Factor: 0.451, 2005
Usman Tariq, ManPyo Hong, Kyung-suk Lhee, “A Comprehensive Categorization of DDoS Attack and DDoS Defense Techniques”, Lecture Notes in Computer Science, [ISSN # 0302-9743] - Impact Factor: 0.302, 2004
~~~ Selected Conference Papers ~~~
T. A. Ahanger, U. Tariq and M. Nusir, "Real-Time Methodology for Improving Cyber Security in Internet of Things Using Edge Computing During Attack Threats," 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2019, pp. 293-297. doi: 10.1109/ICSSIT46314.2019.8987779
Abdulaziz Aldaej, Usman Tariq, "IoT in 5G aeon: an inevitable fortuity of cloud provisioned healthcare", in proceedings of International conference on Computer Applications & Information Security, ICCAIS. 04-06 April, 2018 Riyadh, Saudi Arabia, https://ieeexplore.ieee.org/document/8441986/
Yanji Piao, JongUK Kim, Usman Tariq, Manpyo Hong, “Polynomial-based Key Management for Secure Intra-group and Inter-group Communication”, In the proceedings of 2011 FTRA International Symposium on Advances in Cryptography, Korea
Usman Tariq, Yasir Malik, Bessam Abdulrazak, ManPyo Hong, “Collaborative Peer to Peer Defense Mechanism for DDoS Attacks”, In the proceedings of The 2nd International Conference on Ambient Systems, Networks and Technologies., 19 September 2011
Usman Tariq, Yasir Malik, ManPong, Bessam Abdulrazak, “A Secure Witness Based Approach to Combat Malicious Packets in Wireless Sensor Network“, In the proceedings of The 2011 International Conference on Security and Management (SAM’11)
Usman Tariq, Kyung-suk Lhee, ManPyo Hong, "A Quadtree Based Data Accuracy Scheme for Wireless Sensor Networks", IEEE and International Conference on Convergence Information Technology, South Korea, 2007
Irfan Ahmed, Usman Tariq, Shoaib Mukhtar, Kyung-suk Lhee, S.W. Yoo, Piao Yanji, ManPyo Hong, "Binding Update Authentication Scheme for Mobile IPv6", IEEE Computer Society and The Third International Symposium on Information Assurance and Security, 2007, United Kingdom
Usman Tariq, ManPyo Hong, Kyung-suk Lhee “PMS an expeditious marking scheme to combat with the DDoS attack”, 9th IEEE International Multi topic Conference (INMIC’05), December 2005, Pakistan
Usman Tariq, Yasir Naveed, ManPyo Hong, “NACS: Non-Overlapping AP’s caching scheme to reduce handoff in 802.11 wireless LAN”, IEEE MICC-ICON 2005 Conference, 2005, Malaysia.
Usman Tariq, ManPyo Hong, Wonil Kim “Quick Fix, an expeditious approach to diminish SPAM”, 9th IEEE International Multi topic Conference (INMIC’05), December 2005, Pakistan.
Usman Tariq, ManPyo Hong, Kyung-suk Lhee “X-PMS Detector, a trust worthy marking scheme to diminish DDoS attacks”, Next Generation PC 2005 International Conference, 2005, South Korea.
~~~ PhD Dissertation ~~~
Usman Tariq, “DACRA: A light weight hybrid approach to defend against crippling routing attacks in wireless sensor networks”, August 2010
~~~ M.S. Thesis ~~~
Usman Tariq, “PMS, a noble defensive approach against DDoS Attacks” August 2006
~~~ Technical Reports ~~~
Usman Tariq, “Design of performance aware routing metric for multi-channel multi-radio Wireless Mesh Networks”, October 2012
Usman Tariq, and Waleed Mohamad Abdo Rashideh, “Context aware pervasive learning environments for elderly people with special needs”, September 2012
Usman Tariq. “Distributed Denial of Service Attacks and Defense strategies for large scale networks1”, December 2006
Usman Tariq, “Analysis of E-mail Fraud Challenges”, April, 2005

Dr.Usman Tariq Tariq Masood

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Dr.Usman Tariq Tariq Masood

Education

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Publications

Administration of Public Relations and Media