Research Scholar ( - )

University of Engineering & Technology(UET), Taxila

Lecturer ( - )

ISRA University

Design Engineer ( - )

Research with Re-engineering (RWR)

Operation Manager ( - )

ORASCOM Group of Telecommunications

Journal Publications

Asghar, Muhammad Adeel, Khan, M. J., Shahid, H., & Mehmood, R. M. (n.d.). AI-Inspired spatial feature extraction and selection method for emotion classification using electroencephalogram signals. Springer Multimedia systems [IF: 2.313]

Hamza, M., Aziz, h., Asghar, Muhammad Adeel, Khan, M. J., Riaz, M. A., Khan, M. S. Et al. (2020). An effective approach for feature selection in emotion recognition using differential entropy-based bag-of-deep features. IEEE Access [IF: 3.745]

Razzaq, S., Asghar, Muhammad Adeel, Khan, M. J., & Mehmood, R. M. (2020). Machine learning based optimal support networks for tumor cell detection using MRI images. Sensors, 20(19), 1745 [IF: 3.275]

Asghar, Muhammad Adeel, Khan, M. J., Rizwan, M., & Mehmood, R. M. (2020). Semi-skipping layered gated unit and efficient network: Hybrid deep feature selection method for EEG-based emotion classification. IEEE Access [IF: 3.745]

Asghar, Muhammad Adeel, Khan, M. J., Rizwan, M., Mehmood, R. M., & Kim, S.-H. (2020). An innovative multi-model neural network approach for feature selection in emotion recognition using deep feature clustering. Sensors, 20(13), 3765. [IF: 3.275]

Rahman, M., Khan, M. J., Asghar, Muhammad Adeel, Amin, Y., Badnava, S., Mirjavadi, S. S. Et al. (2019). Image local features description through polynomial approximation. IEEE Access, 7, 183692–183705. [IF: 3.745]

Asghar, Muhammad Adeel, Khan, M. J., Amin, Y., Rizwan, M., Rahman, M., Badnava, S., Mirjavadi, S. S. Et al. (2019). EEG-based multi-modal emotion recognition using bag of deep features: An optimal feature selection approach. Sensors, 19(23), 5218 [IF: 3.275]

Conference Papers

Abdul Majeed, R., Awan, W. A., Ul Hassan, N., Asghar, Muammad Adeel, & Khan, M. J. (2020). Retinal fundus image refinement with contrast limited adaptive histogram equalization, noise filtration and intensity adjustment, In 2020 IEEE 23rd international multitopic conference (INMIC). IEEE.

Babar, M., Butt, R. T., Batool, H., Asghar, Muhammad Adeel, & Khan, M. J. (2021). Recognition of melanoma skin cancer through multiple approaches of image processing, In International conference on Digital Futures and Transformative Technologies (ICoDT2) 2021. IEEE.

Batool, A., Hyder, S. B., Rahim, A., Waheed, N., Asghar, Muhammad Adeel Et al. (2020). Classification and identification of tomato leaf disease using deep neural network, In 2020 international conference on engineering and emerging technologies (ICEET). IEEE.

Bibi, T., Rehman, A., Syed, G. A., Asghar, Muhammad Adeel, & Fawad. (2020). Electroencephalography-based neural network approach for epileptic seizure detection using spatial features, In International symposium on recent advance on electrical engineering and computer sciences 2020 (RAEE and CS’ 20). IEEE.

Muhammad, A., Nabeel, S., Shahid, H., Asghar, Muhammad Adeel, & Riaz, M. A. (2020). An RFID enabled miniaturized chip less tag for IoT applications, In 2020 IEEE 23rd international multitopic conference (INMIC). IEEE.

Razzaq, S., Mubeen, N., Kiran, U., Asghar, Muhammad Adeel, & Fawad. (2020). Brain tumor detection from MRI images using bag of features and deep neural network, In International symposium on recent advance on electrical engineering and computer sciences 2020 (RAEE and CS’ 20). IEEE.

Razzaq, S., Asghar, Muhammad Adeel, & Khan, M. J. (2020). Brain tumor detection from enhanced MRI images using contrast limited adaptive histogram equalization and deep neural network, In International conference on emerging trends in smart technologies (ICETST) 2020. IEEE.

Rehman, I., Mehreen, M., Shahadat, A., Asghar, Muhammad Adeel, & Khan, M. J. (2021). Parasite detection in medical images by implementing blob detection and google net, In International conference on Digital Futures and Transformative Technologies (ICoDT2) 2021. IEEE.

Asghar, Muhammad Adeel, Khan, M. J., Amin, Y., Akram, A. Et al. (2020). EEG-based emotion recognition for multi-channel fast empirical mode decomposition using vgg-16, In 2020 international conference on engineering and emerging technologies (ICEET). IEEE.

Asghar, Muhammad Adeel, Razzaq, S., Rasheed, S., & Fawad. (2020). A robust technique for detecting sars-cov-2 from x-ray image using 2d convolutional neural network and particle swarm optimization, In 2020 14th international conference on open-source systems and technologies (ICOSST). IEEE.

Abbasi, K., Batool, A., Asghar, Muhammad Adeel, Saeed, A., Khan, M. J., ur Rehman, M. Et al. (2019). A vision-based amateur drone detection algorithm for public safety applications, In 2019 UK/china emerging technologies (UCET). IEEE.

Bashir, Z., Zahid, M., Abbas, N., Yousaf, M., Shoaib, S., Asghar, Muhammad Adeel, & Amin, Y. (2019). A miniaturized wide band implantable antenna for biomedical application, In 2019 UK/china emerging technologies (UCET). IEEE.

Rehman, A., Khalid, Z., Asghar, Muhammad Adeel, Khan, M. J. Et al. (2019). Kinship verification using deep neural network models, In 2019 international symposium on recent advances in electrical engineering (RAEE). IEEE.

Saeed, A., Khan, M. J., & Asghar, Muhammad Adeel. (2019a). Person detection by low-rank sparse aggregate channel features, In Proceedings of the 7th international conference on communications and broadband networking.

Saeed, A., Khan, M. J., Asghar, Muhammad Adeel Et al. (2019b). An adaptive pixel selection method based on block-complexity estimation for quality enhanced steganography, In 2019 international conference on electrical, communication, and computer engineering (ICECCE). IEEE.

Asghar, Muhammad Adeel, Saeed, A., Khan, M. J., Zahid, M., ur Rehman, M. Et al. (2019). Texture classification using a hybrid deep and handcrafted features, In 2019 UK/china emerging technologies (UCET).

Rasheed, S., Asghar, Muhammad Adeel, & Razzaq,S. (2021). Recognition of melanoma skin cancer through multiple approaches of image processing, In International conference on Digital Futures and Transformative Technologies (ICoDT2) 2021. IEEE

• Machine learning and artificial intelligence
• Signal and Image processing