Dr. Ir. Kahlil, S.T., M.Eng.
Tentang Saya (About Me)
Dr. Kahlil Muchtar (IEEE Member'17, IEEE Senior Member'22) received his B.S. degree from Sekolah Tinggi Teknik-PLN, Jakarta, in 2007 from the Department of Computer Science. He spent 3 years (2007-2010) in the industry as a System Software Specialist (using Spring Framework, Struts, and Oracle) at PT. Praweda Ciptakarsa Informatika, Jakarta. His specific role was developing Web-based Enterprise Banking called RTGS (Real-time Gross Settlement) system for all branches of Bank of Indonesia. He obtained an M.Eng. degree from Asia University, Taiwan, in 2012 from the Department of Computer Science and Information Engineering. He then received a Ph.D. degree from National Sun Yat-sen University, Kaohsiung, Taiwan, in 2017 from the Department of Electrical Engineering (Advised by Chia-Hung Yeh and Chih-Yang Lin). In addition, during his Ph.D., he was appointed as Lead-Researcher for Multiyear Qualcomm Multimedia R&D university projects (2014-2016). These projects were funded by Qualcomm, U.S., and entitled "3D Mobile Reconstruction" and "3D Dynamic Scene Reconstruction and Mapping", respectively. Dr. Kahlil joined the Department of Electrical and Computer Engineering, Syiah Kuala University (USK) as a Lecturer and Researcher in 2017. Furthermore, he was an AI Research Scientist at Nodeflux, an AI national leading startup company in Indonesia (2018-2020). Dr. Kahlil’s research interests include multimedia, video surveillance, and 3D reconstruction. He was appointed as the chairperson of Telematics Research Center (2020-2021). Since May 2021, he is being promoted to Assistant Professor. Currently, he is appointed as head of the computer engineering department at USK (since Oct 2021-Aug 2024). He is now continuing a post-doctoral fellow to National Central University, Taiwan (Aug-Oct 2024), especially CVIT Lab under leadership of Prof. Chih-Yang Lin. The main objective is to output a Q1 journal in Coffee-bean Classification field.
Dr. Kahlil has been an active member of APSIPA and IEEE. Dr. Kahlil has co-authored 32 international conferences, and 21 international journal papers and holds 1 patent in Taiwan. He received the 2014 IEEE GCCE Outstanding Poster Award, the 2013 Intelligent Electronics System Design Contest Award for Excellent Achievement in the System Application Category from the Ministry of Education (Taiwan), Silver Award of Intel(R) Taiwan Intelligent Systems Design Student Contest 2013, and Second Prize Winners of 2014 Intel(R) Cup Embedded System Design Invitational Contest (Shanghai, China). He also won travel grants from the Ministry of Science and Technology (MOST), Taiwan to the IEEE International Workshop on Multimedia Signal Processing (MMSP’2014). In 2017, he received the Excellent IICM Ph.D. Dissertation Award from Taiwan. Recently, he received the outstanding paper award at ICS'18 and best oral presenter at ICCSI 2018 and 2020.
In 2021, he received International Journal Recognition and Appreciation from IEEE Indonesia. Recently, in 2022, he was elevated to IEEE Senior Member (the first from Aceh province) due to his academia-industry experiences for more than 15 years. To date, he is a member of IEEE Consumer Technology Society - Technical Activities (TA) of Machine learning, Deep learning and AI in CE (MDA). In 2024, his team organized a workshop at top-tier IEEE Conference in surveillance field, IEEE AVSS'2024 - IVCSSC, in Niagara, Canada. He will also organize the special session at ICCE'25, Las Vegas, U.S.A.
.jpg)
- Received IEEE Senior Member Plaque (The First from Aceh Province)
- In Niagara Falls - Canada to organize IEEE AVSS'24 - Workshop
(Last edited: Sep 24, 2024)
kahlil@usk.ac.id
Publikasi (Publications)
Jurnal (Journals)
Chih-Yang Lin, Han-Yi Huang, Wei-Yang Lin, Hui-Fuang Ng, Kahlil Muchtar, Nadhila Nurdin, 2023, Moving Object Detection for Complex Scenes by Merging BG Modeling and Deep Learning Method, Journal of Artificial Intelligence and Soft Computing Research (JAISCR), 13, 151-163, 2449-6499.
Safrizal Razali, Fitri Arnia, Rusdha Muharrar, Kahlil Muchtar, Akhyar Bintang, 2023, Improved Classification of Handwritten Jawi Script Based on Main Part of Script Body, Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 7, 94-104, 2580-0760.
Yayang Hafifah, Kahlil Muchtar, Ahmadiar Ahmadiar, Shinta Esabella, 2022, Perbandingan Kinerja Deep Learning Dalam Pendeteksian Kerusakan Biji Kopi, JURIKOM (Jurnal Riset Komputer), 9, 1928-1932, 2715-7393.
Khairul Munadi, Melinda Melinda, Khairun Saddami, Maulisa Oktiana, Roslidar Roslidar, Kahlil Muchtar, Rusdha Muharar, Maimun Syukri, Taufik Fuadi Abidin, and Fitri Arnia, 2022, A Deep Learning Method for Early Detection of Diabetic Foot Using Decision Fusion and Thermal Images, Applied Sciences, 12, 7524, 2076-3417.
Kahlil Muchtar, Nyak Twoman Anshari, Chairuman, Khalid Alhabibie, Khairul Munadi, 2022, RANCANG BANGUN PURWARUPA PEMILAHAN SAMPAH PINTAR BERBASIS DEEP LEARNING, Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), 9, 655-662, 2355-7699.
Ilal Mahdi, Kahlil Muchtar, Fitri Arnia, Tia Ernita, 2022, Substraksi Latar Menggunakan Nilai Mean Untuk Klasifikasi Kendaraan Bergerak Berbasis Deep Learning, Jurnal Rekayasa Elektrika (JRE), 18, 125-134, 1412-4785.
Kahlil Muchtar, Al Bahri, Maya Fitria, Tjeng Wawan Cenggoro, Bens Pardamean, Adhiguna Mahendra, Muhammad Rizky Munggaran, Chih-Yang Lin, 2022, Moving Pedestrian Localization and Detection With Guided Filtering, IEEE Access, 10, 89181 - 89196, 2169-3536.
Kahlil Muchtar, Chairuman, Yudha Nurdin, Afdhal Afdhal, 2021, Pendeteksian Septoria pada Tanaman Tomat dengan Metode Deep Learning berbasis Raspberry Pi, JURNAL RESTI (Rekayasa Sistem dan Teknologi Informasi), 5, 107-113, 2580-0760.
Khairul Munadi, Kahlil Muchtar, Novi Maulina, Biswajeet Pradhan, 2020, Image Enhancement for Tuberculosis Detection Using Deep Learning, IEEE Access, 8, 217897-217907, 2169-3536.
Nasaruddin Nasaruddin, Kahlil Muchtar, Afdhal Afdhal, Alvin Prayuda Juniarta Dwiyantoro, 2020, Deep anomaly detection through visual attention in surveillance videos, Journal of Big Data, 7, 1-17, 21961115.
Nasaruddin Nasaruddin, Kahlil Muchtar, Afdhal Afdhal, 2019, A Lightweight Moving Vehicle Classification System Through Attention-Based Method and Deep Learning, IEEE Access, 7, 157564-157573, 2169-3536.
Chih-Yang Lin, Kahlil Muchtar*, Wei-Yang Lin, and Zhi-Yao Jian, 2019, Moving Object Detection Through Image Bit-Planes Representation Without Thresholding, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 00, 1-11, 1524-9050.
Syamsul Bahri, Khairun Saddami, Fitri Arnia, Kahlil Muchtar, 2019, Perbandingan Kinerja Support Vector Machine (SVM) Dalam Mengenali Wajah Menggunakan SURF DAN GLCM, Jurnal Nasional Teknik Elektro, 8, 65–74, 2302-2949.
Chia-Hung Yeh, Chih-Yang Lin*, Kahlil Muchtar, Pin-Hsian Liu, 2018, Rain streak removal based on non-negative matrix factorization, Multimedia Tools and Applications, 77, 20001–20020, 1573-7721.
Chia-Hung Yeh, Wen-Yu Tseng, Li-Wei Kang, Cheng-Wei Lee, Kahlil Muchtar, Mei-Juan Chen, 2018, Coding unit complexity-based predictions of coding unit depth and prediction unit mode for efficient HEVC-to-SHVC transcoding with quality scalability, Journal of Visual Communication and Image Representations, 55, 342-351, .
C.-H. Yeh, C.-Y. Lin, K. Muchtar, H.-E. Lai, and M.-T. Sun, 2017, Three-Pronged Compensation and Hysteresis Thresholding for Moving Object Detection in Real-Time Video Surveillance, Three-Pronged Compensation and Hysteresis Thresholding for Moving Object Detection in Real-Time Video Surveillance, 64, 4945 - 4955, 0278-0046.
C.-H. Yeh, C.-Y. Lin, and K. Muchtar, 2017, RGB-D abandoned object detection based on GrabCut using Kinect, Journal of Internet Technology, 4, 927-933, 1607-9264.
Chih-Yang Lin, Kahlil Muchtar, Chia-Hung Yeh, 2016, Robust Techniques for Abandoned and Removed Object Detection Based on Markov Random Field, Journal of Visual Communication and Image Representation, 39, 181-195, 1047-3203.
C.-Y. Lin, K. Muchtar, J.-Y. Lin, Y.-H. Sung, and C.-H. Yeh, 2016, Moving Object Detection in the Encrypted Domain, Multimedia Tools and Applications, 76, 9759–9783, 1573-7721.
Chih-Yang Lin, Kahlil Muchtar, Chia-Hung Yeh, Chun-Shien Lu, 2016, Secure Multicasting of Images via Joint Privacy-Preserving Fingerprinting, Decryption, and Authentication, Journal of Visual Communication and Image Representation, 38, 858-871, 1047-3203.
Chia-Hung Yeh*, Chih-Yang Lin, Kahlil Muchtar, Li-Wei Kang, 2014, Real-Time Background Modeling Based on a Multi-level Texture Description, Information Sciences, 269, 106-127, 0020-0255.
Chih-Yang Lin*, Chi-Shiang Chan, Li-Wei Kang, and Kahlil Muchtar, 2013, Left-object Detection through Background Modeling, International Journal of Innovative Computing, 9, 1373-1388, .
Prosiding (Proceedings)
Munzir Umran; Kahlil Muchtar; Taufik Fuadi Abidin; Fitri Arnia, 2023, Action Localization and Recognition through Unsupervised I3D and TSN, ICCIT 2023, 2023 3rd International Conference on Computing and Information Technology (ICCIT), Tabuk, Saudi Arabia, 13 - 14 September 2023, IEEE, IEEE, 269-273, 979-8-3503-2148-7.
Abu Bakar; Kahlil Muchtar; Fitri Arnia; Teuku Yuliar Arif; Hendra Kurniawan; Novi Maulina, 2023, Image Enhancement Effects on Chest X-ray Images for COVID-19 Detection, ICCIT 2023, 2023 3rd International Conference on Computing and Information Technology (ICCIT), Tabuk, Saudi Arabia, 13 - 14 September 2023, IEEE, IEEE, 243-248, 979-8-3503-2148-7.
Muhajir Muhajir, Maulisa Oktiana, Kahlil Muchtar, Maya Fitria, Akhyar Akhyar, Muhammad Dandy Pratama, Chih-Yang Lin, 2023, USK-FEMO: A Face Emotion Dataset using Deep Learning for Effective Learning, IC-COSITE, 2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE), Aceh, 02 Agustus 2023, USA, IEEE, 199-203, 979-8-3503-4306-9.
Gregorius Natanael Elwirehardja, Mahmud Isnan, Anzaludin Samsinga Perbangsa, Kahlil Muchtar, Bens Pardamean, 2023, Trends, Opportunities, and Challenges in Detecting Depressive Disorders Through Mobile Devices: A Review, IC-COSITE, 2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE), Aceh, 02 Agustus 2023, USA, IEEE, 188-193, 979-8-3503-4306-9.
Alifya Febriana, Isack Farady, Po-Chiang Lin, Chih-Yang Lin*, Kahlil Muchtar, 2023, Pseudo-LiDAR Meets Agriculture: Leveraging 3D Monocular Point Cloud Processing for Coffee Beans, IC-COSITE, 2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE), Aceh, 02 Agustus 2023, USA, IEEE, 84-89, 979-8-3503-4306-9.
Riza Dianil Iman, Roslidar Roslidar, Kahlil Muchtar, Amalia Amalia, Mohammad Syaryadhi, Alfatirta Mufti, Novi Maulina, 2023, Impact of Image Enhancement for Osteoporosis Detection Based on Deep Learning Algorithm, IC-COSITE, 2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE), Aceh, 02 Agustus 2023, USA, IEEE, 244-249, 979-8-3503-4306-9.
Irfan Syamsuddin, Rini Nur, Irmawati, Kasim Kasim, Muhammad Fajri Raharjo, Kahlil Muchtar, 2023, Evaluation of CyPACH: A Cyber Privacy Advisor Chatbot, IC-COSITE, 2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE), Aceh, 02 Agustus 2023, USA, IEEE, 7-12, 979-8-3503-4306-9.
Fajrul Islamy, Kahlil Muchtar , Fitri Arnia, Rahmad Dawood, Alifya Febriana, Gregorius Natanael Elwirehardja , and Bens Pardamean, 2023, Performance Evaluation of Coffee Bean Binary Classification Through Deep Learning Techniques, ICEED, The 6th International Conference on Eco Engineering Development 2022 (6th ICEED 2022), Jakarta, November 16-17, 2022, Springer, Springer, 311-321, 1876-1119.
M Vickya Ramadhan, Kahlil Muchtar, Yudha Nurdin, Maulisa Oktiana, Maya Fitria, Novi Maulina, Gregorius Natanael Elwirehardja, Bens Pardamean, 2022, Comparative analysis of deep learning models for detecting face mask, ICCSCI 2022, ICCSCI 2022, Bandung, 17 – 18 November 2022, Elsevier, Elsevier, 48-56, 1877-0509.
Kahlil Muchtar, Muhammad Rizky Munggaran, Adhiguna Mahendra, Khairul Anwar, Chih-Yang Lin, 2022, A UNIFIED VIDEO SUMMARIZATION FOR VIDEO ANOMALIES THROUGH DEEP LEARNING, ICME\'2022, ICME'2022, Taipei (Hybrid), July 18-22, 2022, IEEE, IEEE, 1-4, 978-1-6654-7218-0.
Alifya Febriana, Kahlil Muchtar, Rahmad Dawood, Chih-Yang Lin, 2022, USK-COFFEE Dataset: A Multi-Class Green Arabica Coffee Bean Dataset for Deep Learning, IEEE CyberneticsCom 2022, IEEE CyberneticsCom 2022, Semarang (Hybrid), June 16-18, 2022, IEEE, IEEE, 469-473, 978-1-6654-9742-8.
Nona Zarima, Kahlil Muchtar, Akhyar Bintang, Maulisa Oktiana, Novi Maulina, 2022, A Comparative Analysis of Deep Learning Models for Detecting Malaria Disease Through LBP Features, IEEE CyberneticsCom 2022, IEEE CyberneticsCom 2022, Semarang (Hybrid), June 16-18, 2022, IEEE, IEEE, 1-5, 978-1-6654-9742-8.
Trisya Balqis, Kahlil Muchtar, Ahmadiar, Syahrial Syahrial, Yagus Cahyadi, Safrizal Razali, 2022, Performance evaluation and analysis of LBP utilization in face spoofing detection with deep learning, ISRITI 2022, 2022 5th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), Yogyakarta, 2022/12/8, IEEE, IEEE, 672-676, 978-1-6654-5512-1.
Muhammad Yusuf Kardawi, Kahlil Muchtar*, Yudha Nurdin, Novi Maulina, Sayed Muchallil, 2022, A Comparative Analysis of Deep Learning Models for Detection of Knee Osteoarthritis Disease through Mobile Apps, ICWT 2022, 2022 8th International Conference on Wireless and Telematics (ICWT), Yogyakarta, 2022/7/21, IEEE, IEEE, 1-6, 978-1-6654-5122-2.
Mira Hayati, Kahlil Muchtar, Novi Maulina, Irfan Syamsuddin, Gregorius Natanael Elwirehardja, Bens Pardamean, 2022, Impact of CLAHE-based image enhancement for diabetic retinopathy classification through deep learning, ICCSCI 2022, ICCSCI 2022, Bandung, 17 – 18 November 2022, Elsevier, Elsevier, 57-66, 1877-0509.
Muhammad Chaidir, Taufik Fuadi Abidin, Kahlil Muchtar, 2022, HyperStyle-Based Data Augmentation to Improve the Performance of Face Recognition Model, ICELTICS 2022, 2022 International Conference on Electrical Engineering and Informatics (ICELTICs), Banda Aceh, 2022/9/27, IEEE, IEEE, 49-54, 978-1-6654-8766-5.
Tipajin Thaipisutikul, Kanatip Prompol, Chih-Yang Lin, Wen-Thong Chang, Kahlil Muchtar, 2021, A Door Detection System for Convenience Stores in Taiwan, IC-COSITE 2021, 2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE), Banda Aceh, Oct 20-21, 2021, IEEE, IEEE, 24-29, 978-1-6654-2509-4.
Ramzi Adriman, Kahlil Muchtar, Novi Maulina, 2021, Performance Evaluation of Binary Classification of Diabetic Retinopathy through Deep Learning Techniques using Texture Feature, ICCSCI, ICCSCI, Jakarta, 19-20 November 2020, Elsevier, Elsevier, 0, 1877-0509.
Kahlil Muchtar; Khairun Saddami; Akhyar Bintang; Tjeng Wawan Cenggoro; Bens Pardamean; Chih-Yang Lin; Tia Ernita, 2021, Lightweight Pedestrian Detection through Guided Filtering and Deep Learning, Digital you - Always, 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021), Kyoto, 12-15 Oktober 2021, USA, IEEE, 629-630, 2378-8143.
Kahlil Muchtar, Chairuman Chairuman, Maya Fitria, Muhammad Yusuf Kardawi, Alifya Febriana, Nona Zarima, Chih-Yang Lin, 2021, Embedded-based Tomato Septoria Leaf Detection with Intel Movidius Neural Compute Stick, Digital you - Always, 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021), Kyoto, 12-15 Oktober 2021, USA, IEEE, 907-908, 2378-8143.
Kahlil Muchtar; Afdhal Afdhal; Nasaruddin Nasaruddin, 2020, Convolutional Network and Moving Object Analysis for Vehicle Detection in Highway Surveillance Videos, , 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), Yogyakarta, 10-11 Dec. 2020, U.S., IEEE, , .
Kahlil Muchtar, Khairul Munadi, Novi Maulina, Biswajeet Pradhan, Fitri Arnia, Budi Yanti, 2020, Performance Evaluation of Binary Classification of Tuberculosis through Unsharp Masking and Deep Learning Technique, , 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), New Zealand, Dec 07-10, 2020, U.S., IEEE, , .
Alvin Prayuda Juniarta Dwiyantoro, Kahlil Muchtar, Faris Rahman, Muhammad Wiryahardiyanto, Reynaldy Hardiyanto, 2019, Coarse-to-Fine Object Detection for Ride-Hailing Market Analysis, 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Taipei, Taiwan, , IEEE, IEEE, 0, .
Fityanul Akhyar, Chih-Yang Lin, Kahlil Muchtar, Tung-Ying Wu, Hui-Fuang Ng, 2019, High Efficient Single-stage Steel Surface Defect Detection, 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Taipei, Taiwan, , IEEE, IEEE, 0, .
Iza Nasita, Kahlil Muchtar, Khairun Saddami, Fitri Arnia, 2019, Cross-domain Clothing Image Retrieval Based on Hybrid Shape Feature, 2019 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), 2019 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), Banda Aceh, , IEEE, IEEE, 0, 2089-3191.
Kahlil Muchtar, Nasaruddin, Afdhal, Indra Nugraha, 2019, Attention-based Approach for Efficient Moving Vehicle Classification, , The 4th International Conference on Computer Science and Computational Intelligence (ICCSCI 2019), Yogyakarta, 12-13 September 2019, Elsevier, Elsevier, 0, 1877-0509.
Kahlil Muchtar, Faris Rahman, Muhammad Rizky Munggaran, Alvin Prayuda Juniarta Dwiyantoro, Richard Dharmadi, Indra Nugraha, 2019, A unified smart surveillance system incorporating adaptive foreground extraction and deep learning-based classification, , ICAIIC (International Conference on AI in information and communication) 2019, Okinawa, Japan, 11-13 Februari 2019, IEEE, IEEE, 0, .
Kahlil Muchtar, Faris Rahman, Tjeng Wawan Cenggoro, Arif Budiarto, Bens Pardamean, 2018, An Improved Version of Texture-based Foreground Segmentation: Block-based Adaptive Segmenter, Empowering Smart Technology in Digital Era for a Better Life, The 3rd International Conference on Computer Science and Computational Intelligence (ICCSCI 2018), Indonesia, 07-08 September 2018, , Procedia Computer Science, Elsevier, 0, 1877-0509.
Kahlil Muchtar, Faris Rahman, Muhammad Rizky Munggaran, Alvin Prayuda Juniarta Dwiyantoro, Richard Dharmadi, Indra Nugraha, Chuan-Yu Chang, 2018, An efficient event detection through background subtraction and deep convolutional nets, New Trends in Computer Technologies and Applications, ICS (International Computer Symposium) - 2018, Yunlin, Taiwan, 20-22 Desember, 2018, Springer, Singapore, Springer, , 1865-0937.
Tanase Cucliciu, Chih-Yang Lin, Kahlil Muchtar, 2017, A DPM based object detector using HOG-LBP features, , 2017 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Taipei, 12-14 June 2017, , IEEE, 0, .
Kahlil Muchtar, Chia-Hung Yeh, Zhi-Yao Jian, Chih-Yang Lin, Wei-Yang Lin, Wan-Jen Huang, 2017, Moving object detection based on image bit-planes and co-occurrence matrix in video surveillance, , 2017 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Taipei, 12-14 June 2017, , IEEE, 0, .
Chia-Hung Yeh, Kahlil Muchtar, Chih-Yang Lin, 2017, 3D-based Unattended Object Detection Method for Video Surveillance, , Smart Trends in Systems, Security and Sustainability, WS4 2017, London, U.K., Feb, 2017, , Springer, 0, .
Kahlil Muchtar, Chia-Hung Yeh, Cheng Wei Lee, Wen Hung Xu, Po-Yi Sung, 2014, Heartbeat Measurement Based on Laser Speckle Fingerprint, , The 2014 International Computer Symposium (ICS 2014), Tunghai, Taiwan, Dec, 2014, , , 0, .
Yu-Hsien Sung, Kahlil Muchtar, Hsiang-Erh Lai, Chia-Hung Yeh and Chia-Yen Chen, 2014, Automated Reconstruction of 3D Object on Embedded System for Mobile Apps, , IEEE Global Conference on Consumer Electronics, Tokyo, Oct, 2014, , IEEE, 0, .
Kahlil Muchtar, Chih-Yang Lin*, and Chia-Hung Yeh, 2014, GrabCut-based abandoned object detection, , 2014 IEEE Int. Workshop on Multimedia Signal Processing, Jakarta, Sept, 2014, , IEEE, 0, .
Kahlil Muchtar, Chih-Yang Lin, Li-Wei Kang, and Chia-Hung Yeh, 2013, Abandoned object detection in complicated environments, , APSIPA Annual Summit and Conference, Kaohsiung, Taiwan, Oct, 2013, , , 0, .
Li-Wei Kang, Kahlil Muchtar, Jyh-Da Wei, Chih-Yang Lin, Duan-Yu Chen and Chia-Hung Yeh, 2012, Privacy-preserving multimedia cloud computing via compressive sensing and sparse representation, , IEEE International Conference on Information Security and Intelligent Control, Yunlin, Taiwan, Aug, 2012, , IEEE, 0, .
Li-Wei Kang, Kahlil Muchtar, Jyh-Da Wei, Chih-Yang Lin*, and Chia-Hung Yeh, 2012, Image copy detection via dictionary learning and sparse coding, , IEEE International Conference on Information Security and Intelligent Control, Yunlin, Taiwan, Aug, 2012, , IEEE, 0, .
Shu-Jhen Fan Jiang, Kahlil Muchtar, Chih-Yang Lin*, and Li-Wei Kang, and Chia-Hung Yeh, 2012, Background subtraction by modeling pixel and neighborhood information, , Background subtraction by modeling pixel and neighborhood information, Hollywood, California, Dec, 2012, , , 0, .
Kahlil Muchtar, Chih-Yang Lin, Li-Wei Kang, Chia-Hung Yeh, 2011, Robust Background Modeling based on Multiscale Color Description, , Asia-Pasific Signal and Information Processing Association, Asia-Pasific Signal and Information Processing Association (APSIPA ASC 2011), Xián, China, Oct, 2011, , , 0, .
Buku (Books)
Kahlil, Muhammad Rizky Munggaran, Laksono Kurnianggoro, Adhiguna Mahendra, Nona Zarima, Fina Noviantika, Alifya Febriana, 2023, Computer Vison Berbasis Deep Learning untuk Aplikasi Pertanian Teori dan Praktik, Banda Aceh, USK Press, 978-623-264-864-7.
Training/Diklat (Workshops)
16-05-2022, Guest Lecturer - Research in Digital Image Processing, Yuan-Ze University, Chungli, Taiwan, Webinar
15-04-2021, Webinar “Mengenal Teknologi Artificial Intelligence”, Universitas Nusa Mandiri, Jakarta, Indonesia, Virtual
03-12-2020, Manufacturing Series-Tech Talk (The 31st International Manufacturing, Machinery, Equipment, Materials and Services Exhibition), Pamerindo Indonesia, JAKARTA INTERNATIONAL EXPO, INDONESIA
27-06-2019, Innovation Talks - Efficient Vehicle Classification through Deep Learning for Smart Surveillance System, MNC Innovation Center, Gedung MNC Tower Lt. 2 Jalan Kebon Sirih Raya No. 17-19, Kebon Sirih, Jakarta
03-01-2019, Guest Lectures - A unified smart surveillance system incorporating adaptive foreground extraction and deep learning-based classification, BINUS Doctoral Computer Science Degree, Bina Nusantara University Anggrek, Jakarta Barat
22-12-2018, Guest Talk - Smart city in Indonesia : Challenges and Opportunities, Yuan-Ze University, Chungli, Taiwan
15-11-2018, Guest Lectures - Digital and Signal Processing, Mechatronic Department, Swiss German University, Jakarta
Paten (Patents)
2015, REAL-TIME BACKGROUND MODELING METHOD, I476703, Taipei, Taiwan, Province Of China.
Chih-Yang Lin, Chia-Hung Yeh, Li-Wei Kang, Kahlil Muchtar, Kahlil Muchtar.
Penghargaan (Awards)
01-09-2007, Lulusan Terbaik Teknik Informatika, STT-PLN (Sekolah Tinggi Teknik-PLN), Jakarta, Indonesia.
01-01-2013, Excellent achievement in the System Application Category, Ministry of Education (Taiwan), The 2013 Intelligent Electronics System Design Contest Award, Taipei, Taiwan, Province Of China.
01-01-2013, Silver Award - Intelligent Systems Design Student Contest 2013, Intel Taiwan, Taipei, Taiwan, Province Of China.
01-01-2014, Outstanding Poster Award, Proc. 2014 IEEE Global Conference on Consumer Electronics, Tokyo, Japan.
01-01-2014, IEEE MMSP | Multimedia and Signal Processing 2014 - Travel Grants, Ministry of Science and Technology (MOST), Taiwan, Taipei, Taiwan, Province Of China.
01-01-2014, Second Prize - Winners of 2014 Intel Cup Embedded System Design Invitational Contest, Intel China, Shanghai, Taiwan, Province Of China.
01-01-2018, The Best Ph.D. Dissertation Award, IICM (Institute of Information & Computing Machinery), Taipei, Taiwan, Province Of China.
07-09-2018, Best Presenter Award, ICCSCI (International Conference on Computer Science and Computational Intelligence), Tangerang, Indonesia.
21-12-2018, Outstanding Paper Award, ICS-2018 (International Computer Symposium), Yunlin, Taiwan, Province Of China.
20-11-2020, ICCSCI \' 2020 - Best Presenter Award, The 5th International Conference on Computer Science and Computational Intelligence (ICCSCI), Binus, Bali, Indonesia (Virtual), Indonesia.
02-03-2021, International Journal Recognition and Appreciation, IEEE Indonesia, Jakarta (virtual), Indonesia.
