Sk. Arif Ahmed, Ph.D.

Assistant Proessor, XIM University, Bhubaneswar, India
Former Postdoc, Department of Physics and Technology, University of TromsØ, Norway;
Assistant Professor at Haldia Institute of Technology, India
Email: skarifahmed [at] gmail [dot] com

Year 2021

[J25] Das B, Majumder M, Phadikar S, A. A. Sekh. Multiple-choice question generation with auto-generated distractors for computer-assisted educational assessment. Multimedia Tools and Applications. 2021
[J24] Samonto S, Kar S, Pal S, Ozkan AT, A. A. Sekh. Fuzzy Logic Controller Aided Expert Relaying Mechanism System. Journal of the Franklin Institute. Elsevier, 2021
[J23] Das, B., A. A. Sekh, Majumder, M. et al. Can deep learning solve a preschool image understanding problem?. Neural Comput & Applic (2021). https://doi.org/10.1007/s00521-021-06080-w
[J22] R.Pal, A. A. Sekh, D.P.Dogra, S.Kar, D.P.Prasad, Topic-based Video Analysis: A Survey, ACM Computing Survey, ACM, 2021, https://doi.org/10.1145/3459089
[J21] B. Das; M. Majumder, S. Phadikar,A. A. Sekh, Automatic Question Generation and Answer As-sessment: A Survey, Research and Practice in Technology Enhanced Learning, Springer, 2021
[J20] Jun, S. W., A. A. Sekh, Quek, C., & Prasad, D. K. seMLP: Self-evolving Multi-layer Perceptron in Stock Trading Decision Making. SN Computer Science, 2021, 2(2), 1-11
[J19] S. Samonto, S. Kar, S. Pal, A. A. Sekh, O. Castillo, G. Park Best Fit Membership Function for De-signing Fuzzy Logic Controller Aided Intelligent Overcurrent Fault Protection Scheme, International Transactions on Electrical Energy Systems , Wiley, 2021
[C12] Zhe, Q. E., A. A. Sekh, Quek, C., & Prasad, D. K. (2021, February). Recurrent Self-evolving Takagi–Sugeno–Kan Fuzzy Neural Network (RST-FNN) Based Type-2 Diabetic Modeling. In International Conference on Intelligence Science (pp. 125-136). Springer, Cham.
[J18] Samonto, S., Kar, S., Pal, S.,A. A. Sekh, & Sarkar, B. (2021). Fuzzy Based Algorithm for Stage-I of Cascaded Intelligent Relaying. International Journal of Intelligence Science, 11(01), 31.
[C11] A. Somani, A. A. Sekh, I-S. Opstad, AB Birgisdottir, T Myrmel, BS Ahluwalia, K Agarwal, Dilip K Prasad, A. Horsch, Digital Staining of Mitochondria in Label-free Live-cell Microscopy, Bildver-arbeitung für die Medizin - Algorithmen System Anwendungen – 2021, Germany, Bildverarbei-tung für die Medizin . Informatik aktuell. Springer

Year 2020

[C10] S. Das, S. Kar, A. A. Sekh, A large volume dataset for grading tomato freshness quality, The Fifth IAPR International Conference on Computer Vision & Image Processing (CVIP 2020), India
[C9] M. Islam, S. Joardar, A. A. Sekh, RingFIR: A large volume earring dataset for fashion image re-trieval, Fifth IAPR International Conference on Computer Vision & Image Processing (CVIP 2020); India
[C8] A. A Sekh, I-S. Opstad, AB Birgisdottir, T Myrmel, BS Ahluwalia, K Agarwal, Dilip K Prasad, Learning nanoscale motion patterns of vesicles in living cells, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[J17] Pal, R.; A A Sekh.; Kar, S.; Prasad, D.K. Neural Network Based Country Wise Risk Prediction of COVID-19. Appl. Sci. 2020, 10, 6448. doi: 10.3390/app10186448
[J16] D. Maji, A A Sekh, Automatic Grading of Retinal Blood Vessel in Deep Retinal Image Diagnosis, Journal of Medical Systems, Springer Nature, 2020, doi: 10.1007/s10916-020-01635-1
[J15] A A Sekh, Dogra, D. P., Kar, S., Roy, P. P., & Prasad, D. K.. Can We Automate Diagrammatic Reasoning?. Pattern Recognition, 2020, 107412. doi: 10.1016/j.patcog.2020.107412
[J14] F Liu, A A Sekh, C Quek, GS Ng, DK Prasad, RS-HeRR: A Rough Set based Hebbian Rule Reduction Neuro-Fuzzy System, 2020, Neural Computing and Applications, Springer Nature
[J13] A A Sekh, Dogra, D. P., Kar, S., & Roy, P. P. Video trajectory analysis using unsupervised clustering and multi-criteria ranking. Soft Computing, 2020, Springer Nature
[J12] A A Sekh, D. P. Dogra, H. Choi, S. Chae, I. Kim, Person re-identification in videos by analyzing spatio-temporal tubes, Multimedia Tools and Applications, Springer Nature, 2020
[J11] Samonto, S., Kar, S., Pal, S., & Sekh, A. A. Fuzzy logic based multistage relaying model for cascaded intelligent fault protection scheme. Electric Power Systems Research, 184, 2020, Elsevier
[J10] Mandal, Sourav, AA Sekh, and Sudip Kumar Naskar. Solving Arithmetic Word Problems: a Deep Learning Based Approach.” Journal of Intelligent & Fuzzy Systems, IOS Press, 2020
[J9] Ahmed, S. A., Dogra, D. P., Kar, S., Roy, P. P., & Prasad, D. K. ELM-HTM Guided Bio-inspired Unsupervised Learning for Anomalous Trajectory Classification. Cognitive Systems Research. 2020, Elsevier

Year 2019

[BOOK1] Castillo, O., Jana, D.K., Giri, D., Sekh, A.A. (Eds.), Recent Advances in Intelligent Information Systems and Applied Mathematics, Springer Nature, 2019
[J8] S Mukherjee, A. Ahmed, D. P. Dogra, S. Kar, P. P. Roy. Fingertip Detection and Tracking for Recognition of Air-Writing in Videos, Expert Systems with Applications, 2019
[J7] B. Das, M. Majumder, S. Phadikar, A. Ahmed, Automatic Generation of Fill-in-the-blank Question with Corpus-based Distractors for e-assessment to Enhance Learning. Computer Applications in Engineering Education, 2019, 10.1002/cae.22163
[J6] A. Ahmed, D. P. Dogra, S. Kar, R. Patnaik, S. Lee, H. Choi, I. J. Kim. Query-based Video Synopsis for Intelligent Traffic Monitoring Applications. IEEE Transactions on Intelligent Transportation Systems, 2019, 10.1109/TITS.2019.2929618

Year 2018

[J5] A. Ahmed, D. P. Dogra, S. Kar, P. P. Roy. Trajectory-based surveillance analysis: A survey. IEEE Transactions on Circuits and Systems for Video Technology, 2018, 10.1109/TCSVT.2018.2857489
[J4] A. Ahmed, D. P. Dogra, S. Kar, P. P. Roy. Surveillance Scene Representation and Trajectory Anomaly Detection Using Aggregation of Multiple Concepts, Expert Systems with Applications, Elsevier, 2018, doi: 10.1016/j.eswa.2018.02.013

Year 2017

[J3] A. Ahmed, D. P. Dogra, S. Kar, P. P. Roy. Unsupervised Classification of Erroneous Video Object Trajectories, Soft Computing, Springer, 2017, 1-19, DOI: 10.1007/s00500-017-2656- x.
[J2] A. Ahmed, D. P. Dogra, B.Kim, P.Hill, H. Bhaskar, S.Kar, Localization of Region of Interest in Surveillance Scene, Multimedia Tools and Applications, Springer, (2017) 76(11), 13651- 13680 doi: 10.1007/s11042-016-3762-y
[C7] A. Ahmed, D. P. Dogra, S. Kar and P. P. Roy Natural language description of surveillance events. In Proceedings of International Conference of Information Technology and Applied Mathematics, ICITAM (2017), Haldia, India, Springer, doi: 10:1007=978 - 981 - 10 - 7590 - 2 10
[C6] A. Ahmed, D. P. Dogra, S. Kar, R. Patanaik, H. Choi, I. Kim, S. Lee Video Synopsis Generation Using Spatio-Temporal Groups. IEEE International Conference on Signal and Image Processing Applications (ICSIPA),2017, Malaysia. doi: 10.1109/ICSIPA.2017.8120666
[C5] A. Ahmed, D. P. Dogra, S. Kar and P. P. Roy Extraction of Long-duration Moving Object Trajectories from Curtailed Tracks. In Proceedings of 2nd International Conference on Computer Vision and Image Processing, CVIP (2017), IIT Roorkee, India, Springer

Year 2016

[J1] D. P. Dogra, A. Ahmed, H. Bhaskar, Smart Video Summarization using Mealy Machine based Trajectory Modelling, Multimedia Tools and Applications, Springer, (2016) 75(11), 6373- 6401 doi:10.1007/s11042-015-2576-7
[C4] R.Saini, A. Ahmed, D.P. Dogra, P.Roy, Surveillance Scene Segmentation Based on Trajectory Classification Using Supervised Learning. In Proceedings of International Conference on Computer Vision and Image Processing (pp. 261-271). 2016, Springer, Singapore.
[C3] R.Saini, A. Ahmed, D.P. Dogra, P.Roy, Classification of Object Trajectories Represented by HighLevel Features Using Unsupervised Learning. In Proceedings of International Conference on Computer Vision and Image Processing (pp. 273-284). 2016, Springer, Singapore

Year 2015

[C2] D. P. Dogra, R. D. Reddy, K.S. Subramanyam, A. Ahmed, H. Bhaskar. Scene Representation and Anomalous Activity Detection using Weighted Region Association Graph, 10th International Conference on Computer Vision Theory and Applications (VISAPP), pp.104- 112, Berlin, March 2015.
[C1] D. P. Dogra, A. Ahmed, H. Bhaskar. Interest Area Localization using Trajectory Analysis in Surveillance Scenes. 10th International Conference on Computer Vision Theory and Applications (VISAPP), pp. 478-485, Berlin, March 2015.