Academic and Professional Profiles

Kahlil Muchtar, ST., M. Eng, Ph. D.

Lecturer at Syiah Kuala University, Aceh, Indonesia
AI Research Scientist at Nodeflux, Jakarta, Indonesia

Education:

2003-2007 (ST.) : Dept. of Teknik Informatika, STT-PLN (Sekolah Tinggi Teknik PLN), Jakarta, Indonesia

2010-2012 (M. Eng) : Dept. of Computer Science and Information Engineering, Asia University, Taichung, Taiwan

2013-2017 (Ph. D.) : Dept. of Electrical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan

FSD Unsyiah | GScholar         | Scopus ID     | Academic_Email|
[Click Here]   | [Click Here]   | [Click Here] | [kahlil@unsyiah.ac.id]

Conference Papers:

-APSIPA’2011, Xi’an, China

mmsp2014-During poster session, 2nd day of MMSP’2014 Jakarta, Indonesia.

 

  •  Kahlil Muchtar, Chia-Hung Yeh, Cheng Wei Lee, Wen Hung Xu, Po-Yi Sung, “Heartbeat Measurement Based on Laser Speckle Fingerprint”, The 2014 International Computer Symposium (ICS 2014). Tunghai University, Taiwan, December 2014.
  • Kahlil Muchtar, C. Yeh, C. Lin, “Specific-purpose Object Detection with Energy-based Model”, IPPR Computer Vision, Graphics, and Image Processing Conference, CVGIP 2015, Yilan, Taiwan, August 2015.
  • Chia-Hung Yeh, Kahlil Muchtar, Chih-Yang Lin, “3D-based Unattended Object Detection Method for Video Surveillance”, WS4 2017, London, U.K., February 2017.
  • Kahlil Muchtar, Faris Rahman, Tjeng Wawan Cenggoro, Arif Budiarto, Bens Pardamean, “An Improved Version of Texture-based Foreground Segmentation: Block-based Adaptive Segmenter”, ICCSCI 2018, Jakarta, Indonesia, September 2018.

Journal Papers:

  • C.-Y. Lin, K. Muchtar, J.-Y. Lin, Y.-H. Sung, and C.-H. Yeh, “Moving Object Detection in the Encrypted Domain,” Multimedia Tools and Applications, no., 2016. (SCI) (Impact Factor: 1.346) New!
  • Chih-Yang Lin, Kahlil Muchtar, Chia-Hung Yeh, “Robust Techniques for Abandoned and Removed Object Detection Based on Markov Random Field,” accepted (May 2016) to Journal of Visual Communication and Image Representation. (EI, SCI) (SCImago Journal Rank (SJR): 0.749 , Impact Factor: 1.218). New!
  • C.-H. Yeh, C.-Y. Lin, K. Muchtar, H.-E. Lai, and M.-T. Sun, “Three-Pronged Compensation and Hysteresis Thresholding for Moving Object Detection in Real-Time Video Surveillance,” IEEE Trans. on Industrial Electronics, no., 2016. (EI, SCI) Ranking: 1.6%, IF: 6.38 New!
  • C.-H. Yeh, C.-Y. Lin, and K. Muchtar, “RGB-D abandoned object detection based on GrabCut using Kinect,” Journal of Internet Technology, vol. 18, no.4, Jul. 2017. (SCI) Ranking: 86%, IF: 0.533 New!
  • Chia-Hung Yeh, Chih-Yang Lin, Kahlil Muchtar, and Pin-Hsian Liu, “Rain streak removal based on non-negative matrix factorization,” accepted by Multimedia Tools and Applications, Nov. 2017.  [SCIE 2016 IF=1.530, Ranking= 43.3%New!
  • Chia-Hung Yeh, Wen-Yu Tseng, Li-Wei Kang, Cheng-Wei Lee, Kahlil Muchtar, Mei-Juan Chen, “Coding unit complexity-based predictions of coding unit depth and prediction unit mode for efficient HEVC-to-SHVC transcoding with quality scalability”, accepted 8 June 2018, available online 26 June 2018 to Journal of Visual Communication and Image Representation. (EI, SCI) (SCImago Journal Rank (SJR): 0.503 , Impact Factor: 1.836). New!

Patent(s):

Publication Number : I476703 ( 2015/03/11 ~ 2032/08/08 )

[certificate_in_chinese] [abstract_english] [patent_link_id_I476703]

Others:

Awards:

  • Ministry of Education (Taiwan), The 2013 Intelligent Electronics System Design Contest Award to Kahlil Muchtar, et al. of National Sun Yat-Sen University for Excellent achievement in the System Application Category. [NSYSU-MMLAB].

Related news:

http://web.asia.edu.tw/files/14-1000-14522,r135-1.php (in Chinese)

 

IE Contest Achievement

  • Silver Award (NT$ 50,000) – Intel Taiwan Intelligent Systems Design Student Contest 2013 (NSYSU MMLAB),

Related news:

http://www.intel.com/content/www/us/en/education/university/taiwan-embedded-design-contest.html

http://ihome.iliving.org.tw/news.php?id=22

http://www.intel-tw-newsletter.com/2013Q4/news/news_a2.html

Note of apps: our iOS-apps called SuperNova will capture the several images and send it to cloud, then cloud computing will handle Structure From Motion and yield 3D-ready model and send it back to iOS-based-device (iPhone and iPad), ready to open, lightweight-processing and real-time.

SilverAward2@Venue

Supernova@Stand of Our Team

IMG_6766_res@Resto near Kaohsiung Arena, Celebrating the award

  • Second Prize, Winners of 2014 Intel Cup Embedded System Design Invitational Contest (Shanghai, China), MMLAB-SuperNova Team.

Topic: “3D Genie- A Light-weight 3D Reconstruction System Equipped with Intel Atom Chipset”

res_intel_2@Award Ceremony :)

res_intel@Intel Asia-Pacific Research & Development Ltd, Shanghai.

thebund@The Bund, the must-go spot in Shanghai!

Intel_class@Undergraduate class, cheers!

Front@Qualcomm Beijing, corporate-college cooperation!

  • The Best Ph.D. Dissertation Award by IICM (Institute of Information & Computing Machinery), Taiwan 2018 (04/21/18)

award_2

  • Ph.D. Oral Defense (05/05/17)

timeline_20170510_204226@Dr. K! ^^

Last edited: August 02, 2018.