Hanung Adi Nugroho, Ph.D

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Department of Electrical Engineering and Information Technology
Faculty of Engineering, Universitas Gadjah Mada
Jl. Grafika 2, Kampus UGM, Yogyakarta 55281
INDONESIA
Telp./ Facs. +62-274-552305

Email: adinugroho[at]ugm.ac.id, adinugroho[at]ieee.org

 

Member of Research and Technology Department, KIPMI

Hanung Adi Nugroho was born in Yogyakarta, Indonesia, on February 24, 1978. He received the Bachelor degree (S.T.) in electrical engineering from Universitas Gadjah Mada (UGM), Indonesia in 2001. He also received Master of Engineering degree (M.E.) in biomedical engineering from the University of Queensland (UQ), Australia in 2005. In 2012, he received his PhD degree in electrical and electronic engineering from Universiti Teknologi Petronas (UTP), Malaysia. He started to join as teaching staff in the Department of Electrical Engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada (UGM) in 2002 until now. While pursuing his PhD, he became a research officer at Universiti Teknologi Petronas (UTP) from 2008 to 2010. Currently, he is an Assistant Professor and also a Vice Head of Department of Electrical Engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada (UGM). His current research interests include biomedical signal and image processing and analysis, computer vision, medical instrumentation and pattern recognition.

Publications

  1. H. A. Nugroho, K. Z. W. Oktoeberza, T. B. Adji, and F. Najamuddin, “Detection of Exudates on Color Fundus Images using Texture Based Feature Extraction”, International Journal of Technology; Vol 6, No 2 (2015), 04/30/ 2015.

  2. K. Z. W. Oktoeberza, H. A. Nugroho, and T. B. Adji, “Optic Disc Segmentation Based on Red Channel Retinal Fundus Images,” in Intelligence in the Era of Big Data. vol. 516, R. Intan, C.-H. Chi, H. N. Palit, and L. W. Santoso, Eds., ed: Springer Berlin Heidelberg, 2015, pp. 348-359.

  3. A. Infantono, T. B. Adji, and H. A. Nugroho, “Modeling of the 3D-view geometry based motion detection system for determining trajectory and angle of the unguided fighter aircraft-rocket”, WIT Transactions on Information and Communication Technologies, vol. 53, pp. 163-175, 2014.

  4. E. S. Wahyuni, N. A. Setiawan, and H. A. Nugroho, “Breast cancer diagnosis improvement using feature selection”, WIT Transactions on Information and Communication Technologies, vol. 53, pp. 227-236, 2014.

  5. D. W. Prabowo, N. A. Setiawan, and H. A. Nugroho, “A study of data randomization on a computer based feature selection for diagnosing coronary artery disease”, WIT Transactions on Information and Communication Technologies, vol. 53, pp. 237-248, 2014.

  6. A. F. M. Hani, H. Nugroho, H. A. Nugroho, L. I. Izhar, N. F. Ngah, T. M. George, et al., “Toward a Fully Automated DR Grading System,” in the International Federation for Medical and Biological Engineering IFMBE Proceedings: The 5th European Conference of the International Federation for Medical and Biological Engineering, vol. 37, Á. Jobbágy and R. Magjarevic, Eds., ed Budapest, Hungary: Springer Berlin Heidelberg, 2012, pp. 663-666.

  7. M. H. Ahmad Fadzil, L. I. Izhar, and H. A. Nugroho, “Analysis of Foveal Avascular Zone for Grading of Diabetic Retinopathy”, International Journal Biomedical Engineering and Technology, vol. 6, pp. 232-50, 2011.

  8. M. H. Ahmad Fadzil, L. I. Izhar, and H. A. Nugroho, “Area Analysis of Foveal Avascular Zone in Diabetic Retinopathy Color Fundus Images”, International Journal of Medical Engineering and Informatics, vol. 3, pp. 84-98, 2011.

  9. M. Ahmad Fadzil, L. Izhar, H. Nugroho, and H. A. Nugroho, “Analysis of retinal fundus images for grading of diabetic retinopathy severity”, Medical and Biological Engineering and Computing, vol. 49 pp. 1-8, January 2011.

  10. M. H. A. Fadzil, I. Lila Iznita, and N. Hanung Adi, “Determination of foveal avascular zone in diabetic retinopathy digital fundus images”, Computers in Biology and Medicine, vol. 40, pp. 657-664, July 2010.

  11. M. H. Ahmad Fadzil and H. A. Nugroho, “Retinal vasculature enhancement using independent component analysis”, J. Biomedical Science and Engineering, vol. 2, pp. 543-549 2009.

  12. M. H. Ahmad Fadzil, I. Lila Iznita, and H. A. Nugroho, “Analysis of Foveal Avascular Zone in Color Fundus Image for Grading of Diabetic Retinopathy”, International Journal of Recent Trends in Engineering, vol. 2, pp. 101-104, November 2009.

  13. H. A. Nugroho, D. Ihtaho, and H. Nugroho, “Contrast Enhancement for Liver Tumor Identification,” The MIDAS Journal – Grand Challenge Liver Tumor Segmentation (2008 MICCAI Workshop), 2008.

  14. M. H. A. Fadzil, H. A. Nugroho, P. A. Venkatachalam, H. Nugroho, and L. I. Izhar, “Determination of Retinal Pigments from Fundus Images using Independent Component Analysis,” in the IFMBE Proceedings: 4th Kuala Lumpur International Conference on Biomedical Engineering 2008, vol. 21, N. A. Abu Osman, F. Ibrahim, W. A. B. Wan Abas, H. S. Abdul Rahman, and H.-N. Ting, Eds., ed: Springer Berlin Heidelberg, 2008, pp. 555-558.

International Conferences

  1. S. Wibirama, H. A. Nugroho, and K. Hamamoto, “Design and Development of Evaluation Method for 3D Gaze Tracking in Virtual Space,” in the 10th International Forum on Strategic Technology (IFOST 2015), Bali, Indonesia, 3-5 June 2015.

  2. N. Thein, I. W. Mustika, and H. A. Nugroho, “Region Based Selective Image Encryption Using Graph Cut for Passport-type Image,” in the 10th International Forum on Strategic Technology (IFOST 2015), Bali, Indonesia, 3-5 June 2015.

  3. M. M. Sebatubun, T. B. Adji, and H. A. Nugroho, “Enhancement of Lung X-ray Images using Contrast Limited Adaptive Histogram Equalization and Median Filter,” in the 10th International Forum on Strategic Technology (IFOST 2015), Bali, Indonesia, 3-5 June 2015.

  4. H. A. Nugroho, N. Faisal, I. Soesanti, and L. Choridah, “Analysis of digital mammograms for detection of breast cancer,” in Computer, Control, Informatics and Its Applications (IC3INA), 2014 International Conference on, 2014, pp. 25-29.

  5. I. M. D. Maysanjaya, H. A. Nugroho, and N. A. Setiawan, “The classification of fetus gender on ultrasound images using learning vector quantization (LVQ),” in Electrical Engineering and Informatics (MICEEI), 2014 Makassar International Conference on, 2014, pp. 150-155.

  6. I. D. Estu Karisma Ratri, H. Adi Nugroho, and T. Bharata Adji, “A comparative study on signature recognition,” in Information Technology, Computer and Electrical Engineering (ICITACEE), 2014 1st International Conference on, 2014, pp. 167-171.

  7. L. K. P. Saputra, H. A. Nugroho, and M. Wulandari, “Feature extraction and classification of heart sound based on autoregressive power spectral density (AR-PSD),” in Information Technology, Computer and Electrical Engineering (ICITACEE), 2014 1st International Conference on, 2014, pp. 139-143.

  8. M. I. Achmad, H. A. Nugroho, and A. Susanto, “Cerebellar model articulation controller (CMAC) for sequential images coding,” in Information Technology, Computer and Electrical Engineering (ICITACEE), 2014 1st International Conference on, 2014, pp. 160-166.

  9. T. B. Adji, F. Rahadian, H. A. Nugroho, and A. G. Persada, “Negative content filtering based on skin texture, homomorphic filter and localizations,” in Electrical Engineering and Computer Science (ICEECS), 2014 International Conference on, 2014, pp. 1-6.

  10. D. N. K. Hardani, O. Wahyunggoro, H. A. Nugroho, and N. Faisal, “Analysis of emotional condition based on electrocardiogram signals,” in Electrical Engineering and Computer Science (ICEECS), 2014 International Conference on, 2014, pp. 152-157.

  11. M. Faris, A. I. Cahyadi, and H. A. Nugroho, “Data fusion and switching function for MAV navigation system,” in Electrical Engineering and Computer Science (ICEECS), 2014 International Conference on, 2014, pp. 115-120.

  12. T. B. Adji, Z. Abidin, and H. A. Nugroho, “System of negative Indonesian website detection using TF-IDF and Vector Space Model,” in Electrical Engineering and Computer Science (ICEECS), 2014 International Conference on, 2014, pp. 174-178.

  13. H. A. Nugroho, T. Yulianti, N. Akhmad Setiawan, and D. A. Dharmawan, “Contrast measurement for no-reference retinal image quality assessment,” in Information Technology and Electrical Engineering (ICITEE), 2014 6th International Conference on, 2014, pp. 1-4.

  14. H. A. Nugroho, N. Faisal, I. Soesanti, and L. Choridah, “Identification of malignant masses on digital mammogram images based on texture feature and correlation based feature selection,” in Information Technology and Electrical Engineering (ICITEE), 2014 6th International Conference on, 2014, pp. 1-6.

  15. N. A. Setiawan, D. W. Prabowo, and H. A. Nugroho, “Benchmarking of feature selection techniques for coronary artery disease diagnosis,” in Information Technology and Electrical Engineering (ICITEE), 2014 6th International Conference on, 2014, pp. 1-5.

  16. C. Windarto, K. Otomotif, H. Adi Nugroho, and I. Hidayah, “Smart automation for credit point compilation of instructor,” in Information and Communication Technology (ICoICT), 2014 2nd International Conference on, 2014, pp. 221-225.

  17. A. G. Persada, N. A. Setiawan, and H. A. Nugroho, “Comparative study of attribute reduction on arrhythmia classification dataset,” in Information Technology and Electrical Engineering (ICITEE), 2013 International Conference on, 2013, pp. 68-72.

  18. A. F. M. Hani, T. Ahmed Soomro, H. Nugroho, and H. A. Nugroho, “Enhancement of colour fundus image and FFA image using RETICA,” in Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on, 2012, pp. 831-836.

  19. A. F. M. Hani, N. F. Ngah, T. M. George, L. I. Izhar, H. Nugroho, and H. A. Nugroho, “Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity,” in Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, Buenos Aires 2010, pp. 5632-5635.

  20. M. H. Ahmad Fadzil, H. A. Nugroho, and H. Nugroho, “Gaussian Bayes Classifier for Medical Diagnosis and Grading: Application to Diabetic Retinopathy,” in 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES 2010), Kuala Lumpur, Malaysia, 2010.

  21. M. H. Ahmad Fadzil, N. F. Ngah, T. M. George, H. A. Nugroho, and H. Nugroho, “Grading of diabetic retinopathy severity by analysing foveal avascular zone in colour fundus images,” presented at the 4th National Conference for Clinical Research 2010, Kuala Lumpur, Malaysia, 2010.

  22. P. Kee Yong, I. L. Iznita, M. H. A. Fadzil, H. A. Nugroho, N. Hermawan, and S. A. Vijanth, “Segmentation of retinal vasculature in colour fundus images,” in Innovative Technologies in Intelligent Systems and Industrial Applications, 2009. CITISIA 2009, Kuala Lumpur, 2009, pp. 398-401.

  23. M. H. Ahmad Fadzil, H. A. Nugroho, H. Nugroho, and I. Lila Iznita, “Contrast Enhancement of Retinal Vasculature in Digital Fundus Image,” in Proceeding of 2009 International Conference on Digital Image Processing (ICDIP 2009), Bangkok, Thailand, 2009, pp. 137-141.

  24. M. H. Ahmad Fadzil and H. A. Nugroho, “Model-based retinal vasculature enhancement in digital fundus image using independent component analysis,” in Proc. 2009 IEEE Symposium on Industrial Electronics & Applications (ISIEA2009), Kuala Lumpur, Malaysia, 2009, pp. 137-141.

  25. L. I. Izhar and H. A. Nugroho, “Segmentation in Low Contrast Images,” in United Kingdom – Malaysia Engineering Conference (UK-MEC) 2008, London, United Kingdom, 2008.

  26. H. A. Nugroho, M. H. Ahmad Fadzil, and P. A. Venkatachalam, “Contrast Enhancement of Retinal Blood Vessels using Independent Component Analysis,” in National Postgraduate Conference on Engineering, Science and Technology (NPC 2008), Bandar Seri Iskandar, Tronoh, Perak, Malaysia, 2008.

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