CONTACT INFO

6th Floor,

Arfa Software Technology Park, Lahore

P (042) - 111-111-ITU (488)

Dr. Arif Mahmood
Professor
PhD - Computer Science, Lahore University of Management Sciences (LUMS), Pakistan
RESEARCH INTERESTS

Image processing, pattern recognition, machine vision, Optimization, Modeling and Simulation.

biography

Dr Arif Mahmood is currently a Professor of Computer Science, Director Computer Vision Lab and Controller of Examination at Information Technology University, Lahore, Pakistan. He has also worked as “Computer Vision Consultant” with King Abdulaziz University, Jeddah, Saudi Arabia and Huazhong University of Science and Technology, China in 2021. Before joining ITU, he served as a Research Assistant Professor at the School of Computer Science and Software Engineering, and later at the School of Mathematics and Statistics in University of the Western Australia from 2012-2015. Previously, he was an Assistant Professor at the Punjab University College of Information Technology from 2008-2012. He also worked as a Postdoctoral Researcher at the College of Engineering in Qatar University from 2015-2018. In 2015 he successfully authored Linkage Project grant from Australian Research Council (ARC): “Machine Learning for Fracture Risk Assessment from Simple Radiography” with industry partners.

He has excellent teaching and research experience at several national and international Universities. He has also conducted a three-day seminar course in 2021 on Computer Vision research in Guangdong University of Petrochemical Technology, China. He was Program Committee member in FIT 2017 and in International Workshop on “Robust Subspace Learning and Applications in Computer Vision” in conjunction with ICCV 2017, ICCV 2019, and ICCV2021. His major research interests include data clustering, classification, action and object recognition using image sets. He has also worked on computation elimination algorithms for fast template matching, video compression, object removal and image mosaicking. At the School of Mathematics and Statistics UWA, he worked on community detection in complex networks.

He has been publishing extensively in prestigious journals including IEEE TPAMI, IJCV, MEDIA, IEEE TIP, IEEE TCSVT, IEEE TCC, IEEE TSC, Information Fusion, and IEEE TKDE. He has presented his work at over 17 conferences worldwide including very prestigious conference such as CVPR, ECCV, ACCV, BMVC, and WACV.  His previous profile can be accessed at UWA, his citations can be seen at Google Profile, his reviewer history at Publons, published research articles at Research Gate, and professional linkages at LinkedIn.

Year 2021:

  1. S Javed, Arif Mahmood, J Dias, L Seneviratne, N Werghi, “Hierarchical Spatiotemporal Graph Regularized Discriminative Correlation Filter for Visual Object Tracking”, in IEEE Transactions on Cybernetics, (IF 11.079)
  2. J Iqbal, MA Munir, Arif Mahmood, AR Ali, M Ali, “Leveraging orientation for weakly supervised object detection with application to firearm localization”, Neurocomputing, (IF 4.438)
  3. S Javed, Arif Mahmood, N Rajpoot, J Dias, N Werghi, “Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images”, Medical Image Analysis, (IF 11.48)
  4. M Asim, C Brekke, Arif Mahmood, T Eltoft, M Reigstad, “Improving Chlorophyll-a Estimation from sentinel-2 (MSI) in the Barents Sea using Machine Learning”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (IF 3.827)
  5. W Abbas, MF Khan, M Taj, Arif Mahmood, “Statistically correlated multi-task learning for autonomous driving”, Neural Computing and Applications, (IF 4.774)
  6. M Farooq, M N Dailey, Arif Mahmood, J Moonrinta, M Ekpanyapong, “Human face super-resolution on poor quality surveillance video footage”, Neural Computing and Applications, (IF 4.774)
  7. S Nawaz, M S Saeed, P Morerio, Arif Mahmood, I Gallo, M H Yousaf, “Cross-modal Speaker Verification and Recognition: A Multilingual Perspective”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop,
  8. B Yousaf, M Usama, W Sultani, Arif Mahmood, J Qadir, “Fake Visual Content Detection Using Two-Stream Convolutional Neural Networks”, arXiv preprint arXiv:2101.00676,

Year 2020:

  1. S Javed, Arif Mahmood, K Benes, N Rajpoot, “Multiplex Cellular Communities in Multi-Gigapixel Colorectal Cancer Histology Images for Tissue Phenotyping”, IEEE Transactions on Image Processing (TIP), (IF 9.340)
  2. S Javed, Arif Mahmood, JM Dias, N Werghi, “Robust Structural Low-Rank Tracking” IEEE Transactions on Image Processing (TIP), (IF 9.340)
  3. S Javed, Arif Mahmood, M M Fraz, N A Koohbanania, K Benesc, Y W Tsangc, K Hewittc, D Epsteind, D Sneadc, N Rajpoot, “Cellular Community Detection For Tissue Phenotyping In Colorectal Cancer Histology Images”, Medical Image Analysis (MEDIA), July 2020. (IF 11.48)
  4. M Sultana, Arif Mahmood, SK Jung, “Unsupervised Moving Object Detection in Complex Scenes Using Adversarial Regularizations” IEEE Transactions on Multimedia (TMM), (IF 6.051)
  5. M Abdullah, W Iqbal, Arif Mahmood, F Bukhari, A Erradi, “Predictive Autoscaling of Microservices Hosted in Fog Microdata Center”, IEEE Systems Journal, (IF 3.987)
  6. MZ Zaheer, Arif Mahmood, H Shin, SI Lee, “A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels”, IEEE Signal Processing Letters (SPL), (IF 3.105)
  7. MZ Zaheer, Arif Mahmood, M Astrid, SI Lee, “CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection”, European Conference on Computer Vision (ECCV), 2020.
  8. M Fiaz, Arif Mahmood, KY Baek, SS Farooq, SK Jung, “Improving Object Tracking by Added Noise and Channel Attention” Sensors, (IF 3.275)
  9. M Fiaz, Arif Mahmood, SK Jung, “Learning soft mask based feature fusion with channel and spatial attention for robust visual object tracking” Sensors 20 (14), (IF 3.275)
  10. MZ Zaheer, J Lee, M Astrid, Arif Mahmood, SI Lee, “Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection”, Computer Vision Pattern Recognition Workshop (CVPRW),
  11. M Fiaz, Arif Mahmood, SK Jung, “Video Object Segmentation using Guided Feature and Directional Deep Appearance Learning” Computer Vision Pattern Recognition Workshop (DAVIS Challenge),
  12. M Sultana, Arif Mahmood, T Bouwmans, SK Jung, “Dynamic Background Subtraction using Least Squares Adversarial Learning”, IEEE International Conference on Image Processing (ICIP),
  13. S Javed, Arif Mahmood, J Dias, N Werghi, “CS-RPCA: Clustered Sparse RPCA for Moving Object Detection”, IEEE International Conference on Image Processing (ICIP) ,
  14. A Basit, MA Munir, M Ali, N Werghi, Arif Mahmood, “Localizing firearm carriers by identifying human-object pairs”, IEEE International Conference on Image Processing (ICIP),
  15. M Asim, C Brekke, Arif Mahmood, T Eltoft, M Reigstad, “Ocean Color Net (OCN) for the Barents Sea”, IEEE International Geoscience and Remote Sensing Symposium (IGRSS), Aug, 2020.
  16. M Fiaz, M M Rahman, Arif Mahmood, S S Farooq, K Y Baek, S K Jung, “Adaptive Feature Selection Siamese Networks for Visual Tracking”, International Workshop on Frontiers of Computer Vision (IW-FCV), Ibusuki, Japan, January 2020. (Best Student Paper Award)
  17. M Sultana, Arif Mahmood, T Bouwmans, S K Jung, “Unsupervised Adversarial Learning for Dynamic Background Modelling”, International Workshop on Frontiers of Computer Vision (IW-FCV), Ibusuki, Japan, January 2020. (Best Paper Award)

Year 2019:

  1. N Khan, A Akram, Arif Mahmood, S Ashraf, K Murtaza, “Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis”, International Journal of Computer Vision (IJCV), September (IF 6.071)
  2. W Iqbal, A Erradi, M Abdullah, Arif Mahmood, “Predictive Auto-scaling of Multi-tier Applications Using Performance Varying Cloud Resources”, in IEEE Transactions on Cloud Computing (TCC), September (IF 5.967)
  3. M S Farid, Arif Mahmood, S Al-Maadeed, “Multi-focus Image Fusion Using Content Adaptive Blurring”, in Information Fusion, January 2019 (IF 10.716)
  4. S Javed, Arif Mahmood, S Al-Maadeed, T Bouwmans, S K Jung, “Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA”, in IEEE Transactions on Image Processing (TIP), February 2019. (IF 6.79)
  5. M Shaban, Arif Mahmood, S Al-Maadeed, N Rajpoot “An Information Fusion Framework for Person Localization Via Body Pose in Spectator Crowds”, in Information Fusion, November 2019. (IF 10.716)
  6. H Ullah, M Uzair, Arif Mahmood, H Ullah, S D Khan, F A Sheikh “Internal Emotion Classification Using EEG Signal with Sparse Discriminative Ensemble”, in IEEE Access, March (IF 4.098)
  7. M Fiaz, Arif Mahmood, S Javed, S K Jung “Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends”, in ACM Computing Surveys, Jan 2019 (IF 5.55)
  8. B Iqbal, W Iqbal, N Khan, Arif Mahmood, A Erradi “Canny edge detection and Hough transform for high resolution video streams using Hadoop and Spark”, in Cluster Computing, April 2019 (IF 1.851)
  9. M Sultana, Arif Mahmood, S Javed, S K Jung, “Unsupervised deep context prediction for background estimation and foreground segmentation”, in Machine Vision and Applications (MVA), April 2019. (IF 1.788)
  10. A Erradi, W Iqbal, Arif Mahmood, A Bouguettaya, “Web application resource requirements estimation based on the workload latent features”, in IEEE Transactions on Services Computing (TSC), May 2019 (IF 5.707)
  11. Arif Mahmood, S Al-Maadeed, “Action recognition in poor quality spectator crowd videos using head distribution based person segmentation”, in Machine Vision and Applications (MVA), June 2019 (IF 1.788)
  12. M Faiz, Arif Mahmood, S K Jung, “Using Convolutional Neural Network With Structural Input for Visual Object Tracking", in ACM/SIGAPP Symposium on Applied Computing (SAC), Cyprus, April 2019.
  13. J Iqbal, M A Munir, Arif Mahmood, A R Ali, M Ali, “Orientation Aware Object Detection with Application to Firearms”, arXiv: 2662045, April 2019
  14. M Faiz, Arif Mahmood, S K Jung, “Deep Siamese networks towards robust visual tracking" in “Visual Object Tracking in the Deep Neural Networks Era.", IntechOpen Publishers, April 2019 (in Press)
  15. S Javid, Arif Mahmood, N Werghi, J M M Dias, “Structural Low-Rank Tracking", IEEE international conference on Advanced Video and Signal-based Surveillance (AVSS), Taiwan, Taipei, September 2019.
  16. M Sultana, Arif Mahmood, T Bouwmans, S K Jung, “Complete Moving Object Detection in the Context of Robust Subspace Learning" in IEEE International Conference on Computer Vision (RSLCV Workshop) 2019, Seoul, South Korea.
  17. S Javed, Arif Mahmood, N Werghi, N Rajpoot, “Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images", in IEEE International Conference on Computer Vision (VRMI Workshop) 2019, Seoul, South Korea.
  18. S Nawaz, M K Janjua, I Gallo, Arif Mahmood, A Calefati, F Shafait, “Do Cross Modal Systems Leverage Semantic Relationships?" in IEEE International Conference on Computer Vision (CroMol Workshop) 2019, Seoul, South Korea.
  19. S Nawaz, M K Janjua, I Gallo, Arif Mahmood, A Calefati, “Deep Latent Space Learning for Cross-modal Mapping of Audio and Visual Signals" in Digital Image Computing: Techniques and Applications (DICTA) 2019, Perth, Australia.

Year 2018:

  1. Arif Mahmood, M Uzair, S Al-Maadeed, “Multi-order Statistical Descriptors for Real-time Face Recognition and Object Classification”, in IEEE Access, 2018 (IF 098).
  2. I Rida, S Al-maadeed, Arif Mahmood, A Boridane, S Baksi “Palmprint Identification Using an Ensemble of Sparse Representations”, in IEEE Access, 2018 (IF 4.098).
  3. S Javed, Arif Mahmood, T Bouwmans, S K Jung, “Spatiotemporal Low-rank Modeling for Complex Scene Background Initialization”, in IEEE Transactions on Circuits and Systems for Video Technology, (IF 4.046)
  4. S Ali, R Khan, Arif Mahmood, M Hassan, M Jeon, “Using temporal covariance of motion and geometric features via boosting for human fall detection”, in Sensors, 2018. (IF 3.031)
  5. W Iqbal, A Erradi, Arif Mahmood, “Dynamic workload patterns prediction for proactive auto-scaling of web applications”, in Journal of Network and Computer Applications, (IF 5.273)
  6. M Fiaz, Arif Mahmood, S K Jung “Tracking Noisy Targets: A Review of Recent Object Tracking Approaches”, available online arXiv:1802.03098, 2018.
  7. Z Suhail, Arif Mahmood, L Wang, P N Malcolm, and R Zwiggelaar, “A Voting-Based Encoding Technique for the Classification of Gleason Score for Prostate Cancers", in Medical Image Understanding and Analysis (MIUA), University of Southampton, UK, July 2018.
  8. Z Suhail, Arif Mahmood, E R E Denton, R Zwiggelaar, “Bag of Visual Words Approach for Classification of Benign and Malignant Masses in Mammograms Using Voting Based Feature Encoding", in International Workshop on Breast Imaging (IWBI), Atlanta, Georgia, USA, July 2018.
  9. M Sultana, Arif Mahmood, S Javed, S K Jung, “Unsupervised RGBD Video Object Segmentation Using GANs", in ACCV Workshop on RGBD-Sensing and Understanding via Combined Color and Depth, Perth, Australia, December 2018.

Year 2017:

  1. S Javed, Arif Mahmood, T Bouwmans, S K Jung, “Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering”, in IEEE Transactions on Image Processing, 2017 (IF 4.828)
  2. A G Karkar, J M Aljaam, Arif Mahmood, “Illustrate It! An Arabic Multimedia Text-to-Picture m-Learning System”, IEEE Access, 2017 (IF 3.244)
  3. B Brekhna, Arif Mahmood, Y Zhou, C Zhang, “Robustness analysis of superpixel algorithms to image blur, additive Gaussian noise, and impulse noise”, SPIE Journal of Electronic Imaging, 2017 (IF 0.754)
  4. Arif Mahmood, M Small, S Maadeed, N Rajpoot, “Using Geodesic Space Density Gradients for Network Community Detection”, in IEEE Transactions on Knowledge and Data Engineering, 2017. (IF 3.438)
  5. H Tazeem, M Farid, Arif Mahmood, “Improving security surveillance by hidden cameras” in Multimedia Tools and Applications, January 2017. (IF 1.346)
  6. M Uzair, Arif Mahmood, S A Al-maadeed, “Non-cooperative and occluded person identification using periocular region with visible, infra-red, and hyperspectral imaging”, in Biometric Security and Privacy: Opportunities & Challenges in The Big Data Era (Signal Processing for Security Technologies), ISBN-13: 978-3319473000, Springer, 2017
  7. S Muhammad, Arif Mahmood, S Al-Maadeed, N Rajpoot, "Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Network", International Workshop on Representation, analysis and recognition of shape and motion FroM Image data (RFMI), December 2017.
  8. S Javed, Arif Mahmood, T Bouwmans, S K Jung, “Superpixels-based Manifold Structured Sparse RPCA for Moving Object Detection” in British Machine Vision Conference (BMVC) 2017.
  9. M Fiaz, S Javed, Arif Mahmood, S K Jung, “Comparative Study of ECO and CFNet Object Trackers in Noisy Environment”, in the 3rd International Conference on Next Generation Computing, Taiwan, 2017.

Year 2016:

  1. S. Farid, Arif Mahmood, and M. Grangetto, “Image De-fencing Framework with Hybrid Inpainting Algorithm”, in Signal Image and Video Processing, 2016. (IF 1.43)
  2. H Rahmani, Arif Mahmood, D Huynh and A Mian, “Histogram of Oriented Principal Components for cross-view action recognition”, in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016. (IF 8.329)
  3. Arif Mahmood, M Small, “Subspace based network community detection using sparse linear coding”, in IEEE transactions on Knowledge and Data Engineering, (IF 2.476)
  4. Rahmani, D Huynh, Arif Mahmood and A Mian,Discriminative human action classification using locality-constrained linear coding”, in Pattern Recognition Letters, 2016. (IF 1.551)
  5. J Bosveld, Arif Mahmood, D Huynh, L Noakes, “Constrained metric learning by permutation inducing isometries” in IEEE Transactions on Image Processing, (IF 3.625)
  6. S Javed, Arif Mahmood, T Bouwmans, S K Jung, “Motion aware graph regularized RPCA for Background Modeling of Complex Scenes” in International Conference on Pattern Recognition (ICPR) 2016.
  7. Arif Mahmood, M Small, “Subspace based network community detection using sparse linear coding”, in IEEE International Conference on Data Engineering (ICDE) 2016.
  8. M Shaban, Arif Mahmood, Nasir Rajpoot, “Person Pose Detection and Segmentation in Dense Spectator Crowds” in Machine Learning and Data Analysis Symposium (MLDAS), Qatar, 2016.
  9. Arif Mahmood, N Rajpoot, “Action Recognition in Spectator Crowds” in Qatar Foundation
Annual Research Conference Proceedings, 2016.
  1. Arif Mahmood, M Shaban, H Idrees, N M Rajpoot, M Shah, “Pose Detection for Partially Occluded Persons in Spectator Crowds”, in Qatar Foundation Annual Research Conference Proceedings,

Year 2015:

  1. M Uzair, Arif Mahmood, A Mian, “Periocular region based person identification in the visible infra-red and hyperspectral imagery”, in Neurocomputing, (IF 2.005)
  2. M Uzair, Arif Mahmood, A Mian, “Hyperspectral face recognition with spatiospectral information fusion and PLS regression” in IEEE Transactions on Image Processing, (IF 3.625)
  3. M Uzair, Arif Mahmood, F Shafait, C Nansen and A Mian, "Is spectral reflectance of the face a reliable biometric?", Optics Express, (IF 3.648)

Year 2014:

  1. Fareed and Arif Mahmood, “An image composition algorithm for handling global visual effects” in Multimedia Tools and Applications, 2014. (IF 1.346)
  2. Arif Mahmood and A Mian “Semi-supervised spectral clustering for classification”, arXiv:1405.5737, May 2014
  3. Arif Mahmood, A Mian, and R Owens “Optimizing Auto-correlation for Fast Target Search in Large Search Space” arXiv:1407.3535, July 2014
  4. M Uzair, Arif Mahmood, and A Mian, "Sparse kernel learning for image set classification'', Asian Conf. on Computer Vision (ACCV) 2014
  5. H Rahmani, Arif Mahmood, D Huynh, and A Mian, "HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition" in European Conference on Computer Vision (ECCV) 2014.
  6. Arif Mahmood, A Mian and R Owens, “Semi-supervised spectral clustering for image set classification” in IEEE Computer Vision Pattern Recognition (CVPR)
  7. H Rehmani, Arif Mahmood, D Huynh and A Mian, “Action classification using locality-constrained linear coding of HOG3D”in International Conference on Pattern Recognition (ICPR) 2014 (Best Scientific Paper Award Winner).
  8. H Rehmani, Arif Mahmood, D Huynh, and A Mian, “Real time action recognition using histograms of depth gradients and random decision forests” in IEEE Workshop on Applications of Computer Vision (WACV), 2014.
  9. J Bosveld, Arif Mahmood, D Q Huynh, L Noakes, “Constraining metric learning by permutation-inducing isometries”, Software Engineering Research Conference (SERS), UWA, Australia, 2014

Year 2013:

  1. M Uzair, Arif Mahmood, and A Mian, “'Hyperspectral face recognition using 3D-DCT and Partial Least Squares (PLS)”, in British Machine Vision Conference (BMVC), 2013.
  2. M Uzair, Arif Mahmood, A Mian, and C McDonald, “A compact discriminative representation for efficient image-set classification with application to biometric recognition”, in International Conference on Biometrics (ICB), 2013.
  3. M Uzair, Arif Mahmood, A Mian, and C McDonald, “Periocular biometric recognition using image sets”, in IEEE Workshop on Applications of Computer Vision (WACV), 2013.

Year 2012:

  1. Farid, Arif Mahmood, “Image morphing in frequency domain” in Journal of Mathematical Imaging and Vision, 2012. (IF 1.552)
  2. Arif Mahmood, S Khan, “Partial elimination algorithm for correlation coefficient based fast template matching”, in IEEE Transactions on Image Processing, (IF 3.625)
  3. Arif Mahmood and A Mian, “Hierarchical sparse spectral clustering for image set classification”, in British Machine Vision Conference (BMVC), 2012.

Year 2011:

  1. M S Farid; H Khan; Arif Mahmood, “Image inpainting using cubic hermit spline”, International Conference on Graphic and Image Processing (ICGIP), Cairo, Egypt, 2011.
  2. Arif Mahmood, “Computation Elimination Algorithms for Correlation Based Fast Template Matching”, PhD Thesis, Lahore University of Management Sciences (LUMS), 2011.

Year 2010:

  1. Arif Mahmood, S Khan, “Exploiting transitivity of correlation for fast template matching”, in IEEE Transactions on Image Processing, 2010. (IF 3.625)
  2. M S Farid, H Khan, Arif Mahmood, “Image inpainting based on pyramids”, IEEE 10th International Conference on Signal Processing (ICSP), 2010.

Year 2009:

  1. Arif Mahmood and S Khan, “Early termination algorithms for AdaBoost based detectors”, in IEEE International Conference on Image Processing (ICIP), 2009 (IEEE Student Author Award Winner).

Year 2008:

  1. Arif Mahmood and S Khan, “Exploiting local autocorrelation function for fast video to Reference image alignment”, in IEEE International Conference on Image Processing (ICIP), 2008.

Year 2007:

  1. Arif Mahmood, “Structure-less object detection using AdaBoost Algorithm”, in International Conference on Machine Vision (ICMV), 2007 (Best Student Paper Award Winner).
  2. Arif Mahmood and S Khan, “Early Termination Algorithms for Correlation Coefficient Based Block Matching”, in IEEE International Conference on Image Processing (ICIP), 2007.
  3. Arif Mahmood, Z Uzmi, and S Khan, “Video Coding with Linear Compensation (VCLC)”, in IEEE International Conference on Communication (ICC), 2007.
  4. Arif Mahmood and S Khan, “Exploiting Inter-Frame Correlation for Fast Video to Reference Image Alignment”, in Asian Conference on Computer Vision (ACCV) 2007.

Year 2003:

  1. M Awais, Arif Mahmood, and A Karim, “Automatically Generating Association Rules under Diverse Operational Conditions for a Large-scale Power Plant”, in International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2003.
 

  1. Best Paper Award in Int. Workshop on Frontiers of Computer Vision, Ibusuki, Japan, 2020.
  2. Best Student Paper Award in Int. Workshop on Frontiers of Computer Vision, Ibusuki, Japan, 2020.
  3. Best Scientific Paper Award in International Conference on Pattern Recognition, 2014
  4. First prize in ‘Innovative Research’ in all Pakistan Inter Colleges and Universities Computer Project Exhibition & Competition (COMPPEC 2011).
  5. Invited speaker in International Conference on Machine Vision in 2010.
  6. Student author award for travel and registration in International Conference on Image Processing (ICIP09).
  7. Best student paper award in International Conference on Machine Vision 2007.
  8. Gold Medal and Deans Honor Award for the best academic distinction in MS.
  9. Invited speaker in the 19th School of Computer Science & Software Engineering Research Conference on “Image Segmentation using Graph Cuts” in 2013.
  10. Delivered seminars in LUMS, ITU and PUCIT in 2015 on Classification Via Clustering, and in ITU in 2016 on “Community detection in Complex networks”.
  11. He has served as reviewer for the conferences including ACCV, WACV, INMIC, DICTA, TENCON, and ICMV, and journals including IEEE TIFS, IEEE TIP, IEEE TPAMI, MVA, IEEE TGRS. His reviewer profile at Publons is here: https://publons.com/researcher/2985258/arif-mahmood/