Mr Muhammad Anwar Masum

Research Fellow

School of Computer Science and Information Technology

College of Engineering and Information Technology


Year Citation
2025 Ma'sum, M. A., Pratama, M., Lughofer, E., Liu, L., Habibullah., & Kowalczyk, R. (2025). Few-shot continual learning via flat-to-wide approaches. IEEE Transactions on Neural Networks and Learning Systems, 36(5), 8966-8978.
DOI Scopus1 WoS3 Europe PMC1
2024 Ma'sum, M. A., Sarkar, M. D. R., Pratama, M., Ramasamy, S., Anavatti, S., Liu, L., . . . Kowalczyk, R. (2024). Dynamic long-term time-series forecasting via meta transformer networks. IEEE Transactions on Artificial Intelligence, 5(8), 4258-4581.
DOI Scopus1
2024 Masum, M. A., Pratama, M., Ramasamy, S., Liu, L., & Habibullah, H. (2024). Unsupervised few-shot continual learning for remote sensing image scene classification. IEEE Transactions on Geoscience and Remote Sensing, 62(4707214), 1-14.
DOI Scopus3 WoS2
2024 Ma'sum, M. A., Alfiany, N., & Jatmiko, W. (2024). Generating Multi-Codebook Neural Network by Using Intelligent Gaussian Mixture Model Clustering Based on Histogram Information for Multi-Modal Data Classification. IEEE Access, 12, 189449-189476.
DOI
2024 Paeedeh, N., Pratama, M., Masum, M. A., Mayer, W., Cao, Z., & Kowalczyk, R. (2024). Cross-domain few-shot learning via adaptive transformer networks. Knowledge-based Systems, 288(111458), 1-9.
DOI Scopus17 WoS14
2023 Ma'sum, M. A., Pratama, M., Lughofer, E., Ding, W., & Jatmiko, W. (2023). Assessor-guided learning for continual environments. Information Sciences, 640(119088), 1-17.
DOI Scopus14 WoS11
2022 Puspitasari, R. D. I., Ma'sum, M. A., Alhamidi, M. R., Kurnianingsih., & Jatmiko, W. (2022). Generative adversarial networks for unbalanced fetal heart rate signal classification. ICT Express, 8(2), 239-243.
DOI Scopus20 WoS17
2022 Inthizami, N. S., Ma'sum, M. A., Alhamidi, M. R., Gamal, A., Ardhianto, R., Kurnianingsih., & Jatmiko, W. (2022). Flood video segmentation on remotely sensed UAV using improved Efficient Neural Network. ICT Express, 8(3), 347-351.
DOI Scopus13 WoS8
2021 Jatmiko, W., Sunandar, A., Alvissalim, M. S., Tawakal, M. I., Rachmadi, M. F., Ma'sum, M. A., . . . Fukuda, T. (2021). Development of Adaptive Fuzzy-Neuro Generalized Learning-Vector Quantization Using PI Membership Function (AFNGLVQ-PI). IEEE Access, 9(9343316), 47452-47480.
DOI Scopus3 WoS1
2020 Ma'sum, M. A. (2020). Intelligent clustering and dynamic incremental learning to generate multi-codebook fuzzy neural network for multi-modal data classification. Symmetry-Basel, 12(4, article no. 679), 1-32.
DOI Scopus2 WoS2
2020 Ma'sum, M. A., Sanabila, H. R., Mursanto, P., & Jatmiko, W. (2020). Clustering versus incremental learning multi-codebook fuzzy neural network for multi-modal data classification. Computation, 8(1, article no. 6), 1-21.
DOI
2019 Jatmiko, W., Ma'sum, M. A., Wisesa, H. A., & Sanabila, H. R. (2019). Developing smart tele-ECG system for early detection and monitoring heart diseases based on ecg signal: Progress and challenges. International Journal on Smart Sensing and Intelligent Systems, 12(1), 1-28.
DOI Scopus9 WoS7
2015 Ma'sum, M. A., Jatmiko, W., Wiweko, B., & Bowolaksono, A. (2015). Automatic fetal organs detection and approximation in ultrasound image. International Journal on Smart Sensing and Intelligent Systems, 8(1), 720-748.
DOI Scopus6 WoS1
2015 Jatmiko, W., Habibie, I., Anwar Ma'sum, M., Rahmatullah, R., & Satwika, I. P. (2015). Automated telehealth system for fetal growth detection and approximation of ultrasound images. International Journal on Smart Sensing and Intelligent Systems, 8(1), 697-719.
DOI Scopus27 WoS16

Year Citation
2025 Ma'sum, M. A., Pratama, M., Liu, L., Habibullah, H., & Kowalczyk, R. (2025). Federated few-shot class-incremental learning. In The Thirteenth International Conference on Learning Representations (ICLR 2025) (pp. 1-30). US: ICLR.
2025 Masum, M. A., Pratama, D., Ramasamy, S., Liu, L., Habibullah, H., & Kowalczyk, R. (2025). PROL: Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning. In IEEE/CVF International Conference on Computer Visions (ICCV 2025) (pp. 1-11). US: IEEE/CVF.
2025 Ma'sum, M. A., Pratama, M., Ramasamy, S., Liu, L., Habibullah, H., & Kowalczyk, R. (2025). Vision and language synergy for rehearsal free continual learning. In The Thirteenth International Conference on Learning Representations (ICLR 2025) (pp. 1-31). US: ICLR.
2025 Ma'sum, M. A., Pratama, M., Liu, L., Habibullah, H., & Kowalczyk, R. (2025). FEDERATED FEW-SHOT CLASS-INCREMENTAL LEARNING. In 13th International Conference on Learning Representations Iclr 2025 (pp. 101524-101553).
Scopus1
2025 Ma'Sum, M. A., Pratama, M., Ramasamy, S., Liu, L., Habibullah, H., & Kowalczyk, R. (2025). VISION AND LANGUAGE SYNERGY FOR REHEARSAL FREE CONTINUAL LEARNING. In 13th International Conference on Learning Representations Iclr 2025 (pp. 15997-16027).
2024 Ma'sum, M. A., Pratama, M., Ramasamy, S., Liu, L., Habibullah, H., & Kowalczyk, R. (2024). PIP: prototypes-injected prompt for Federated Class Incremental Learning. In CIKM ’24 Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (pp. 1670-1679). US: Association for Computing Machinery.
DOI Scopus2
2022 Ma'sum, M. A. (2022). Predicting Student Achievement before Final Exam: A Regression-Based Approach. In Proceedings 2022 2nd International Conference on Information Technology and Education Icit and E 2022 (pp. 424-428). IEEE.
DOI Scopus1
2022 Hirzi, N. M., Ma'sum, M. A., Pratama, M., & Jatmiko, W. (2022). Large-scale 3D point cloud semantic segmentation with 3D U-Net ASPP sparse CNN. In IWBIS 2022 - 7th International Workshop on Big Data and Information Security, Proceedings (pp. 59-64). IEEE: IEEE.
DOI Scopus1
2021 Gamal, A., Husodo, A. Y., Jati, G., Alhamidi, M. R., Ma'Sum, M. A., Ardhianto, R., & Jatmiko, W. (2021). Outdoor LiDAR Point Cloud Building Segmentation: Progress and Challenge. In 2021 International Conference on Advanced Computer Science and Information Systems Icacsis 2021 (pp. 1-6). INDONESIA, Univ Indonesia, Fac Comp Sci, Depok: IEEE.
DOI Scopus6 WoS3
2020 Dhanar Santika, M. W., Masum, M. A., Kekalih, A., Bustamam, A., Krisnadhi, A. A., Setiawan, N. A., . . . Jatmiko, W. (2020). Fast ellipse fitting implementation on usg mobile telehealth application. In 2020 International Workshop on Big Data and Information Security Iwbis 2020 (pp. 59-63). INDONESIA, Univ Indonesia, Fac Comp Sci, Depok: IEEE.
DOI
2020 Gunawan, I., Hui, L. K., Ma'sum, M. A., & Sukawati, N. N. (2020). Enhancing Learning Effectiveness by Using Online Learning Management System. In Proceedings 2020 6th International Conference on Education and Technology ICET 2020 (pp. 48-52). IEEE.
DOI Scopus16
2020 Irene, K., Masum, M. A., Yunus, R. E., & Jatmiko, W. (2020). Segmentation and approximation of blood volume in intracranial hemorrhage patients based on computed tomography scan images using deep learning method. In 2020 International Workshop on Big Data and Information Security Iwbis 2020 (pp. 65-72). INDONESIA, Univ Indonesia, Fac Comp Sci, Depok: IEEE.
DOI Scopus13 WoS5
2019 Hermawan, I., Sevani, N., Ma'Sum, M. A., Alfiany, N., & Jatmiko, W. (2019). Wavelet-based signal quality assessment: Noise detection by temporal feature and heuristics-based. In Proceedings Cyberneticscom 2019 2019 IEEE International Conference on Cybernetics and Computational Intelligence Towards A Smart and Human Centered Cyber World (pp. 103-108). United States: IEEE.
DOI Scopus2
2019 Hermawan, I., Ma'sum, A., Intan, R. D. P., Jatmiko, W., Wiweko, B., Boediman, A., & Pradekso, B. K. (2019). Temporal feature and heuristics-based noise detection over classical machine learning for ECG Signal Quality Assessment. In 2019 International Workshop on Big Data and Information Security IWBIS 2019 (pp. 1-8). United States: IEEE.
DOI Scopus7 WoS5
2019 Alfiany, N., Hamid, N., Jati, G., Ma'Sum, M. A., & Jatmiko, W. (2019). Kinematics and dynamics analysis of an autonomous three-wheeled bicycle modeling. In 4th Asia Pacific Conference on Intelligent Robot Systems Acirs 2019 (pp. 17-21). United States: IEEE.
DOI Scopus4 WoS2
2019 Anwar Ma'sum, M. A., Riskyana Dewi Intan, P., Jatmiko, W., Krisnadhi, A. A., Setiawan, N. A., & Made Agus Dwi Suarjaya, I. (2019). Improving Deep Learning Classifier for Fetus Hypoxia Detection in Cardiotocography Signal. In 2019 International Workshop on Big Data and Information Security IWBIS, proceeding (pp. 51-56). United States: IEEE.
DOI Scopus14 WoS13
2019 Muliawan, I. W., Ma'Sum, M. A., Alfiany, N., & Jatmiko, W. (2019). UAV path planning for autonomous spraying task at salak plantation based on the severity of plant disease. In Proceedings Cyberneticscom 2019 2019 IEEE International Conference on Cybernetics and Computational Intelligence Towards A Smart and Human Centered Cyber World (pp. 109-113). United States: IEEE.
DOI Scopus9
2019 Ma'Sum, M. A., & Jatmiko, W. (2019). Multi-codebook Fuzzy Neural Network Using Incremental Learning for Multimodal Data Classification. In 2019 4th Asia Pacific Conference on Intelligent Robot Systems Acirs 2019 (pp. 205-210). United States: IEEE.
DOI Scopus1 WoS1
2019 Riskyana Dewi Intan, P., Anwar Ma'sum, M. A., Alfiany, N., Jatmiko, W., Kekalih, A., & Bustamam, A. (2019). Ensemble learning versus deep learning for Hypoxia detection in CTG signal. In 2019 International Workshop on Big Data and Information Security IWBIS proceedings (pp. 57-62). United States: IEEE.
DOI Scopus9 WoS8
2019 Hamid, N., Wibisono, A., Anwar Ma'Sum, M., Gamal, A., Ardhianto, R., Arymurthy, A. M., & Jatmiko, W. (2019). 3D Edge Convolution in Deep Neural Network Implementation for Land Cover Semantic Segmentation of Airborne LiDAR Data. In 2019 4th Asia Pacific Conference on Intelligent Robot Systems Acirs 2019 (pp. 216-220). United States: Institute of Electrical and Electronics Engineers.
DOI Scopus1 WoS1
2018 Rachman, V., & Ma'sum, M. A. (2018). Comparative analysis of ant colony extended and mix-min ant system in software project scheduling problem. In Proceedings WBIS 2017 International Workshop on Big Data and Information Security Vol. 2018-January (pp. 85-91). United States: IEEE.
DOI Scopus4 WoS1
2018 Ma'sum, M. A., Dharma, I. G. W. S., Arsa, D. M. S., Jatmiko, W., Yazid, S., & Arymurthy, A. M. (2018). Telebiometric system for infant and toddler fingerprint recognition. In 28th International Symposium on Micro Nanomechatronics and Human Science, MHS 2017 Vol. 2018-January (pp. 1-7). United States: IEEE.
DOI Scopus1
2018 Purbarani, S. C., Sanabila, H. R., Ma'Sum, M. A., & Jatmiko, W. (2018). Seasonal time series exploration using conditional probabilistic graphical approach. In 28th International Symposium on Micro Nanomechatronics and Human Science 2017 MHS Vol. 2018-January (pp. 1-6). United States: IEEE.
DOI
2018 Arsa, D. M. S., Ma'sum, M. A., Rachmadi, M. F., & Jatmiko, W. (2018). Optimization of stacked unsupervised extreme learning machine to improve classifier performance. In Proceedings IWBIS 2017 International Workshop on Big Data and Information Security Vol. 2018-January (pp. 63-68). United States: IEEE.
DOI Scopus8 WoS4
2018 Dharma, I. G. W. S., Marsum, M. A., Jatmiko, W., & Hilman, M. H. (2018). Level 2 Features with Feedback Mechanism for Toddler Fingerprint Recognition. In 2018 International Workshop on Big Data and Information Security IWBIS (pp. 117-122). United States: IEEE.
DOI Scopus1 WoS1
2018 Habibie, N., Nugraha, A. M., Anshori, A. Z., Ma'sum, M. A., & Jatmiko, W. (2018). Fruit mapping mobile robot on simulated agricultural area in Gazebo simulator using simultaneous localization and mapping (SLAM). In MHS 2017 - 28th 2017 International Symposium on Micro-NanoMechatronics and Human Science Vol. 2018-January (pp. 1-7). United States: IEEE.
DOI WoS12
2018 Marsum, M. A., Arsa, D. M. S., Hermawan, I., Jatmiko, W., & Nurhadiyatna, A. (2018). Multicodebook Neural Network Using Intelligent K-Means Clustering Based on Histogram Information for Multimodal Data Classification. In 2018 International Workshop on Big Data and Information Security Iwbis 2018 (pp. 129-135). INDONESIA, Jakarta: IEEE.
DOI Scopus3 WoS3
2017 Kusuma, I., Ma'Sum, M. A., Habibie, N., Jatmiko, W., & Suhartanto, H. (2017). Design of intelligent k-means based on spark for big data clustering. In 2016 International Workshop on Big Data and Information Security Iwbis 2016 (pp. 89-95). INDONESIA, East Jakarta: IEEE.
DOI Scopus25 WoS12
2017 Wisesa, H. A., Ma'Sum, M. A., Mursanto, P., & Febrian, A. (2017). Processing big data with decision trees: A case study in large traffic data. In 2016 International Workshop on Big Data and Information Security Iwbis 2016 (pp. 115-120). IEEE.
DOI
2017 Kusuma, I., Ma'Sum, M. A., Sanabila, H. S., Wisesa, H. A., Jatmiko, W., Arymurthy, A. M., & Wiweko, B. (2017). Fetal head segmentation based on Gaussian elliptical path optimize by flower pollination algorithm and cuckoo search. In 2016 International Conference on Advanced Computer Science and Information Systems Icacsis 2016 (pp. 564-571). INDONESIA, Malang: IEEE.
DOI Scopus4 WoS3
2017 Ma'sum, M. A., Arsa, D. M. S., Habibie, N., & Jatmiko, W. (2017). Enhance generalized learning vector quantization using unsupervised extreme learning machine and intelligent K-means clustering. In Proceedings Wbis 2017 2017 International Workshop on Big Data and Information Security Vol. 2018-January (pp. 77-83). INDONESIA, Jakarta: IEEE.
DOI Scopus7 WoS7
2017 Wisesa, H. A., Ma'Sum, M. A., & Wibisono, A. (2017). Adaptive range in FIMT-DD tree for large data streams. In 2016 International Workshop on Big Data and Information Security Iwbis 2016 (pp. 109-114). INDONESIA, East Jakarta: IEEE.
DOI Scopus2 WoS2
2017 Ma'Sum, M. A., Jatmiko, W., & Suhartanto, H. (2017). Enhanced tele ECG system using Hadoop framework to deal with big data processing. In 2016 International Workshop on Big Data and Information Security Iwbis 2016 (pp. 121-126). INDONESIA, East Jakarta: IEEE.
DOI Scopus11 WoS4
2016 Jatmiko, W., Arsa, D. M. S., Wisesa, H., Jati, G., & Ma'sum, M. A. (2016). Review of big data analytics in the biomedical field. In 2016 International Workshop On Big Data And Information Security (IWBIS) (pp. 31-39). United States: IEEE.
DOI Scopus10 WoS6
2016 Jatmiko, W., Ma'Sum, M. A., Isa, S. M., Imah, E. M., Rahmatullah, R., & Wiweko, B. (2016). Developing smart telehealth system in Indonesia: Progress and challenge. In Icacsis 2015 2015 International Conference on Advanced Computer Science and Information Systems Proceedings (pp. 29-36). INDONESIA, Pusat Studi Jepang Universitas Indonesia, Depok: IEEE.
DOI Scopus16 WoS14
2016 Wisesa, H. A., Ma'sum, M. A., Mursanto, P., & Febrian, A. (2016). Processing Big Data with Decision Trees. In 2016 INTERNATIONAL WORKSHOP ON BIG DATA AND INFORMATION SECURITY (IWBIS) (pp. 115-120). INDONESIA, East Jakarta: IEEE.
2016 Purbarani, S. C., A'Yunina Moa, Q., Jati, G., Ma'Sum, M. A., Wisesa, H. A., & Jatmiko, W. (2016). Implementation of grid mapped robot planning algorithm in a continuous map for fire fighting robot. In 2015 International Symposium on Micro Nanomechatronics and Human Science Mhs 2015 (pp. 1-7). IEEE.
DOI Scopus2
2016 Ma'Sum, M. A., Rahmah, N., Sanabila, H. R., Wisesa, H. A., & Jatmiko, W. (2016). Automatic fetal head approximation using Particle Swarm Optimization based Gaussian Elliptical Path. In 2015 International Symposium on Micro Nanomechatronics and Human Science Mhs 2015 (pp. 1-6). IEEE.
DOI Scopus5
2016 Ma'Sum, M. A., Sanabila, H. R., Jatmiko, W., & Aprinaldi. (2016). Multi codebook LVQ-based artificial neural network using clustering approach. In Icacsis 2015 2015 International Conference on Advanced Computer Science and Information Systems Proceedings (pp. 263-268). INDONESIA, Pusat Studi Jepang Universitas Indonesia, Depok: IEEE.
DOI Scopus7 WoS7
2015 Jati, G., Ma'sum, M. A., & Jatmiko, W. (2015). 2D Set Partitioning In Hierarchical Tree (SPIHT) On Embedded Devices For Multilead ECG Signal Compression. In R. Suryana, & Nuryani (Eds.), PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON PHYSICS AND ITS APPLICATIONS (pp. 182-187). INDONESIA, Solo: ATLANTIS PRESS.
WoS1
2015 Daniel, R. A., Ma'sum, M. A., Jati, G., & Jatmiko, W. (2015). DESIGN AND SIMULATION FUZZY NEURO GENERALIZED LEARNING VECTOR QUANTIZATION-PI (FNGLVQ-PI) ON FIELD PROGRAMMABLE GATE ARRAY (FPGA). In R. Suryana, & Nuryani (Eds.), PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON PHYSICS AND ITS APPLICATIONS (pp. 176-181). INDONESIA, Solo: ATLANTIS PRESS.
2014 Ma'Sum, M. A., Jatmiko, W., Tawakal, M. I., & Afif, F. A. (2014). Automatic fetal organs detection and approximation in ultrasound image using boosting classifier and hough transform. In Proceedings Icacsis 2014 2014 International Conference on Advanced Computer Science and Information Systems (pp. 460-467). INDONESIA, Jakarta: IEEE.
DOI Scopus13 WoS6
2014 Rahmatullah, R., Ma'Sum, M. A., Aprinaldi., Mursanto, P., & Wiweko, B. (2014). Automatic fetal organs segmentation using multilayer super pixel and image moment feature. In Proceedings Icacsis 2014 2014 International Conference on Advanced Computer Science and Information Systems (pp. 420-426). INDONESIA, Jakarta: IEEE.
DOI Scopus7 WoS5
2014 Satwika, I. P., Habibie, I., Ma'Sum, M. A., Febrian, A., & Budianto, E. (2014). Particle swarm optimation based 2-dimensional randomized hough transform for fetal head biometry detection and approximation in ultrasound imaging. In Proceedings Icacsis 2014 2014 International Conference on Advanced Computer Science and Information Systems (pp. 468-473). INDONESIA, Jakarta: IEEE.
DOI Scopus16 WoS8
2013 Ma'Sum, M. A., Jati, G., Arrofi, M. K., Wibowo, A., Mursanto, P., & Jatmiko, W. (2013). Autonomous quadcopter swarm robots for object localization and tracking. In 2013 International Symposium on Micro Nanomechatronics and Human Science Mhs 2013 (pp. 6 pages). JAPAN, Nagoya: IEEE.
DOI Scopus28 WoS5
2013 Nurhadiyatna, A., Hardjono, B., Wibisono, A., Sina, I., Jatmiko, W., Ma'Sum, M. A., & Mursanto, P. (2013). Improved vehicle speed estimation using Gaussian mixture model and hole filling algorithm. In 2013 International Conference on Advanced Computer Science and Information Systems Icacsis 2013 (pp. 451-456). INDONESIA: IEEE.
DOI Scopus26 WoS17
2013 Ma'Sum, M. A., Arrofi, M. K., Jati, G., Arifin, F., Kurniawan, M. N., Mursanto, P., & Jatmiko, W. (2013). Simulation of intelligent Unmanned Aerial Vehicle (UAV) for military surveillance. In 2013 International Conference on Advanced Computer Science and Information Systems Icacsis 2013 (pp. 161-166). INDONESIA: IEEE.
DOI Scopus200 WoS158
2013 Ma'Sum, M. A., Wasito, I., & Nurhadiyatna, A. (2013). Intelligent K-Means clustering for expressed genes identification linked to malignancy of human colorectal carcinoma. In 2013 International Conference on Advanced Computer Science and Information Systems Icacsis 2013 (pp. 437-443). INDONESIA: IEEE.
DOI Scopus3 WoS3
2012 Alvissalim, M. S., Zaman, B., Hafizh, Z. A., Ma'sum, M. A., Jati, G., Jatmiko, W., & Mursanto, P. (2012). Swarm quadrotor robots for telecommunication network coverage area expansion in disaster area. In Proceedings of the SICE Annual Conference (pp. 2256-2261). JAPAN, Akita Univ, Akita: SOC INSTRUMENT CONTROL ENGINEERS JAPAN.
Scopus34 WoS22
2012 Ma'sum, M. A., Alvissalim, M. S., Sanjaya, F., Andros., & Jatmiko, W. (2012). Body gesture based control system for humanoid robot. In 2012 International Conference on Advanced Computer Science and Information Systems Icacsis 2012 Proceedings (pp. 275-280). INDONESIA, Univ Indonesia, Depok: IEEE.
Scopus2 WoS2
2012 Rachmadi, M. F., Ma'sum, M. A., Setiawan, I. M. A., & Jatmiko, W. (2012). Fuzzy Learning Vector Quantization Particle Swarm Optimization (FLVQ-PSO) and Fuzzy Neuro Generalized Learning Vector Quantization (FN-GLVQ) for automatic early detection system of heart diseases based on real-time electrocardiogram. In Proceedings of the SICE Annual Conference (pp. 465-470). JAPAN, Akita Univ, Akita: SOC INSTRUMENT CONTROL ENGINEERS JAPAN.
Scopus7 WoS5
2011 Rachmadi, M. F., Al Afif, F., Jatmiko, W., Mursanto, P., Manggala, E. A., Ma'sum, M. A., & Wibowo, A. (2011). Adaptive traffic signal control system using camera sensor and embedded system. In IEEE Region 10 Annual International Conference Proceedings TENCON (pp. 1261-1265). INDONESIA: IEEE.
DOI Scopus39 WoS22

Courses I teach

  • INFT 1030 Design Thinking Studio (2025)
  • COMP 2019 AI and Machine Learning (2024)
  • INFT 1030 Design Thinking Studio (2024)

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