School of Electrical Engineering & Computer Science
Faculty Muhammad Imran Malik 1

Muhammad Imran Malik

HOD Department of Computer Science (CS-DoC)
Summary

Academic Background
PhD (Machine Learning For Forensic Document Analysis) Universität Kaiserslautern June 25, 2011 - October 19, 2015
Honours and Awards
Best Student Paper Award Best Student Paper Award by Association of Forensic Document Examiners, USA. June 16, 2013
HEC-DAAD PhD scholarship HEC-DAAD Ph.D. scholarship at TU Kaiserslautern, Germany. March 24, 2011
HEC-DAAD MS scholarship HEC-DAAD MS scholarship at TU Kaiserslautern, Germany.
Publications
Vision Based 3D Localization of UAV Using Deep Image Matching July 02, 2024 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - Volume: 17, Pages: 12020-12030
Endmember Analysis of Overlapping Handwritten Text in Hyperspectral Document Images January 29, 2024 IEEE Access - Volume 12, Pages 13010-13019
Analysis of Hyperspectral Data to Develop an Approach for Document Images August 01, 2023 Sensors - Volume 23, Issue 15, Article Number 6845
ADH-PPI: An Attention based Deep Hybrid Model for Protein Protein Interaction Prediction October 21, 2022 iScience - Volume 25, Issue 10, Article Number 105169
EL-RMLocNet: An explainable LSTM network for RNA-associated multi-compartment localization prediction August 02, 2022 Computational and Structural Biotechnology Journal - Volume 20, Pages 3986-4002
Circ-LocNet: A Computational Framework for Circular RNA Sub-Cellular Localization Prediction July 26, 2022 International Journal of Molecular Sciences - Volume 23, Issue 15, Article Number 8221
LGCA-VHPPI: A local-global residue context aware viral-host protein-protein interaction predictor July 05, 2022 PLOS ONE - Volume 17, Issue 7, Article Number e0270275
Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction July 05, 2022 Complex & Intelligent Systems - Pages 1-21
ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions March 01, 2022 Computer Methods and Programs in Biomedicine - Volume 215, Article Number 106620
Bacterial Prediction using Internet of Things (IoT) and Machine Learning January 28, 2022 Environmental Monitoring and Assessment - Volume 194, Article Number 133
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery December 25, 2021 International Journal of Applied Earth Observation and Geoinformation - Volume 105, Article Number 102568
Multi-view gait recognition system using spatio-temporal features and deep learning October 01, 2021 Expert Systems with Applications - Volume 179, Article Number 115057
Learning the micro deformations by max- pooling for offline signature verification October 01, 2021 Pattern Recognition - Volume 118, Article Number 108008
Advances in Computational Methodologies for Classification and Sub-Cellular Locality Prediction of Non-Coding RNAs August 13, 2021 International Journal of Molecular Sciences - Volume 22(16), Article Number 8719
Sense the pen: Classification of online handwritten sequences (text, mathematical expression, plot/graph) June 15, 2021 Expert Systems with Applications - Volume 172, Article Number 114588
AI-ForestWatch: semantic segmentation based end-to-end framework for forest estimation and change detection using multi-spectral remote sensing imagery May 31, 2021 Journal of Applied Remote Sensing - Volume 15(2), Article Number 024518
A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC) February 02, 2021 IEEE Access - Volume 9, Pages 19379-19390
MirLocPredictor: A ConvNet-Based Multi-Label MicroRNA Subcellular Localization Predictor by Incorporating k-Mer Positional Information December 09, 2020 Genes - Volume 11(12), Article Number 1475
Surface water pollution monitoring using the Internet of Things (IoT) and machine learning December 01, 2020 Book on AI for Emerging Verticals Human-Robot Computing, Sensing and Networking - Chapter 17, Pages 337-351
Fi-fo detector: Figure and formula detection using deformable networks September 16, 2020 Applied Sciences - Volume 10(18), Article Number 6460
Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks July 02, 2020 IEEE Access - Volume: 8, Pages 115476-115485
Computer-aided diagnosis of skin diseases using deep neural networks April 04, 2020 Applied Sciences - Volume 10(7), Article Number 2488
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning June 17, 2019 BMC Medical Informatics and Decision Making - Volume 19, Article Number 136
A Perspective Analysis of Handwritten Signature Technology January 28, 2019 ACM Computing Surveys (CSUR) - Volume 51 Issue 6, Article No. 117
DeCNT: Deep Deformable CNN for Table Detection December 27, 2018 IEEE Access - Volume 6, Pages 74151-74161
3DAirSig: A Framework for Enabling In-Air Signatures Using a Multi-Modal Depth Sensor November 10, 2018 Sensors - Volume: 18, Issue: 11, Article Number: 3872
Automatic fish species classification in underwater videos: Exploiting pre-trained deep neural network models to compensate for limited labelled data February 28, 2018 ICES Journal of Marine Science - NULL
Conferences
Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting September 26, 2023 - September 29, 2023 Muhammad Ali Chattha, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, 32nd International Conference on Artificial Neural Networks, ICANN 2023
Adversarial Attacks on Convolutional Siamese Signature Verification Networks August 21, 2023 - August 26, 2023 MAHAM JAHANGIR, Muhammad Imran Malik, Faisal Shafait, 17th International Conference on Document Analysis and Recognition, ICDAR 2023
Burnt Forest Estimation from Sentinel-2 Imagery of Australia using Unsupervised Deep Learning November 29, 2021 - December 01, 2021 Nosheen Abid, Muhammad Imran Malik, Muhammad Shahzad, Faisal Shafait, Haider Ali, Muhammad Mohsin Ghaffar, Christian Weis, Norbert Wehn, Marcus Liwicki, 2021 Digital Image Computing: Techniques and Applications (DICTA)
ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane July 27, 2021 - July 30, 2021 Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
Offline Signature Verification Using Feature Learning and One-Class Classification December 20, 2020 - December 22, 2020 Safia Shabbir, Muhammad Imran Malik, Imran Siddiqi, 4th Mediterranean Conference on Pattern Recognition and Artificial Intelligence (MedPRAI)
Named Entity Recognition in Semi Structured Documents Using Neural Tensor Networks July 26, 2020 - July 29, 2020 Khurram Shehzad, Adnan Ul-Hasan, Muhammad Imran Malik, Faisal Shafait, Khurram Shehzad, Adnan Ul-Hasan, Muhammad Imran Malik, Faisal Shafait, 14th IAPR International Workshop on DOcument Analysis Systems (DAS)
K-mer Neural Embedding Performance Analysis Using Amino Acid Codons July 19, 2020 - July 24, 2020 Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Deengel, Sheraz Ahmed, Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Deengel, Sheraz Ahmed, International Joint Conference on Neural Networks (IJCNN
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection July 19, 2020 - July 24, 2020 Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, Proceedings of the International Joint Conference on Neural Networks
On Interpretability of Deep Learning based SkinLesion Classifiers using Concept Activation Vectors July 19, 2020 - July 24, 2020 Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, International Joint Conference on Neural Networks (IJCNN
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors July 19, 2020 - July 24, 2020 Adriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, International Joint Conference on Neural Networks
Detection of Subject Attention in an active environment through Facial Expressions using Deep Learning Techniques and Computer Vision July 16, 2020 - July 20, 2020 Ahmed Husnain Johar, Imran Malik, Faisal Shafait, Naqash Gerard, Talha Yousuf, Umer Asgher, Adnan Ul Hasan, 11th International Conference on Applied Human Factors and Ergonomics
FFD: Figure And Formula Detection From Document Images December 02, 2019 - December 04, 2019 Junaid Younas, Syed Tahseen Raza Rizvi, Muhammad Imran Malik, Faisal Shafait, Paul Lukowicz, Sheraz Ahmed, Junaid Younas, Syed Tahseen Raza Rizvi, Muhammad Imran Malik, Faisal Shafait, Paul Lukowicz, Sheraz Ahmed, Digital Image Computing: Techniques and Applications (DICTA)
Runway Detection And Localization In Aerial Images Using Deep Learning December 02, 2019 - December 04, 2019 Javeria Akbar, Muhammad Shahzad, Muhammad Imran Malik, Adnan Ul-Hasan, Faisal Shafait, Digital Image Computing: Techniques and Applications (DICTA)
Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection October 24, 2019 - October 26, 2019 Muhammad Naseer Bajwa, Yoshinobu Taniguchi, Muhammad Imran Malik, Wolfgang Neumeier, Andreas Dengel, Sheraz Ahmed, Communications in Computer and Information Science
Combining Fine and Coarse Grained Classifiers for Diabetic Retinopathy Detection July 24, 2019 - July 26, 2019 Bajwa, MN, Y Taniguchi, Muhammad Imran Malik, W Neumeier, A Dengel, S Ahmed, 23rd Conference on Medical Image Understanding and Analysis
KINN: Incorporating Expert Knowledge in Neural Networks March 25, 2019 - March 27, 2019 Chattha, MA, SA Siddiqui, Muhammad Imran Malik, L van Elst, A Dengel, S Ahmed, Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering
What am I Writing: Classification of On-line Handwritten Sequences June 25, 2018 - June 28, 2018 Junaid Younas, Stefan Fritsch, Gerald Pirkl, Sheraz Ahmed, Muhammad Imran Malik, Faisal Shafait, Paul Lukowicz, Intelligent Environments 2018 Workshops: Rome, Italy
D-StaR: A Generic Method for Stamp Segmentation from Document Images November 09, 2017 - November 15, 2017 Junaid Younas, Muhammad Zeshan Afzal, Muhammad Imran Malik, Faisal Shafait, Paul Lukowicz, Sheraz Ahmed, 14th IAPR International Conference on Document Analysis and Recognition held from 9-15 Nov 2017 in Japan
AirScript - Creating Documents in Air November 09, 2017 - November 15, 2017 Ayushman Dash, Amit Sahu, Rajveer Shringi, John Gamboa, Muhammad Zeshan Afzal, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, 14th IAPR International Conference on Document Analysis and Recognition held from 9-15 Nov 2017 in Japan
Table Detection using Deep Learning November 09, 2017 - November 15, 2017 Azka Gilani, Shah Rukh Qasim, Imran Malik, Faisal Shafait, 14th IAPR International Conference on Document Analysis and Recognition held from 9-15 Nov 2017 in Japan
Automatic Signature Segmentation Using Hyper-spectral Imaging October 23, 2016 - October 26, 2016 Faisal Shafait, Umair Muneer Butt, Sheraz Ahmad, Christian Nansen, Ajmal Saeed Mian, Muhammad Imran Malik, 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)