Santosh KC

Santosh KC

Assistant Professor/Graduate Coordinator

COMPUTER SCIENCE

Arts & Sciences 204

Phone: (605) 677-5388

Email: Santosh.KC@usd.edu

Website: http://kc-santosh.org

Bio:

Dr. Santosh is an Assistant Professor and Graduate Program Director of the Department of Computer Science at the University of South Dakota (USD). Also, Dr. Santosh serves School of Computing and IT, Taylor's University as a Visiting Associate Professor. Before joining USD, Dr. Santosh worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research centre, Universite de Lorraine in direct collaboration with industrial partner ITESOFT, France. He also worked as a research scientist at the INRIA Nancy Grand Est research centre, France, where, he has received his PhD diploma in Computer Science. Before that, he worked as a graduate research scholar at the SIIT, Thammasat University, Thailand. Dr. Santosh demonstrated expertise in artificial intelligence, machine learning, pattern recognition, computer vision, image processing, data mining, and big data with various application domains, such as healthcare informatics and medical imaging, graphics recognition, document information content exploitation, biometrics, forensics, speech analysis, satellite imaging, robotics, and Internet of things. He published more than 120 peer-reviewed research articles, authored three books, and edited more than 10 books, journal issues and conference proceedings. Dr. Santosh serves as an associate editor for multiple journals and chaired six-plus international conference events in the domain.


Teaching Interests:

Artificial Intelligence, Data Mining, Signal Processing, Machine Learning, Computer Vision, Pattern Recognition, Unix Environment, Machine Organization, Database & Information Retrieval, and Robotics & Image Processing


Research Interests:

Artificial intelligence, machine learning, data mining, pattern recognition, image processing, computer vision, information retrieval, and big data.


Education:

  • PostDoc, Computer Science, LORIA research centre, University of Lorraine, 2013
  • Ph D, Computer Science, INRIA, University of Lorraine, 2011
  • MS, Computer Science, SIIT, Thammasat University, 2007
  • BEng, Electronics & Communication, Pokhara University, 2003

Grants:

  • Assessment of bias in chronic pain reporting, Central Plains Regional Data Center. Grant Role: Supporting. (2018 - 2019)
  • Artificial Intelligence (AI) in Robotics, CTL - University of South Dakota. (2018 - 2018)
  • A&S Travel Grant, School of A&S, University of South Dakota. (2018 - 2018)
  • User-Driven Text Recognition (on-the-fly), Undergraduate Research & Creative Scholarship (CURCS). (2018 - 2018)
  • Biomechanics of vascular smooth muscle cell in atherosclerosis, South Dakota Board of Regents. (2016 - 2017)
  • Academic Alliance (Travel Grant): Research, Mayo Clinic Center for Tuberculosis, MN. (2016 - 2016)

Publications:

Citations listed below are presented in a standardized, modified format for display purposes only. They do not necessarily reflect the preferred style and conventions of the faculty member or discipline.

  • KC, Santosh. Guest Editor, Special Issue: Natural Language Processing in Healthcare and Medical Informatics. Information, MDPI (to appear), 2020.
  • KC, Santosh. Guest Editor, Special issue: Deep learning for graphics recognition: document understanding and beyond. International Journal of Document Analysis and Recognition (IJDAR), Springer Nature (to appear), 2020.
  • KC, Santosh. (Book) Pattern analysis and machine intelligence in healthcare. Springer Nature (to appear), 2020.
  • KC, Santosh. 3D imaging in biomedical applications: a systematic review. In Medical Imaging: Artificial Intelligence, Image Recognition and Machine Learning Techniques, edited by KC Santosh et al.. CRC Press (Taylor & Francis Group), 2019. (DOI: 10.1201/9780429029417)
  • KC, Santosh. Detection and classification of non-proliferative Diabetic Retinopathy Lesions. Edited by KC Santosh et al.. Medical imaging through Artificial Intelligence, Image Recognition and Machine Learning Techniques, CRC Press (Taylor & Francis Group), 2019. (DOI: 10.1201/9780429029417)
  • KC, Santosh. Artificial Intelligence for Document Image Analysis. Document Processing Using Machine Learning (CRC Press), 2019.
  • KC, Santosh. Artistic Multi-Character Script Identification using iterative isotropic dilation algorithm. Document Processing using Machine Learning (CRC Press), 2019.
  • KC, Santosh. Extreme Learning Machine on Document Understanding. Document Processing using Machine Learning (CRC Press), 2019.
  • KC, Santosh. Segmentation and analysis of CT images for bone fracture detection and labeling. Medical Imaging Artificial Intelligence, Image Recognition, and Machine Learning Techniques (CRC Press), 2019. (DOI: 10.1201/9780429029417)
  • KC, Santosh. A recurrent neural network-based approach to automatic language identification from speech. Lecture Notes in Electrical Engineering, Book Series, Springer Nature, 2019.
  • KC, Santosh. Music chord inversion shape identification with LSTM-RNN. Procedia Computer Science, Elsevier, 2019.
  • KC, Santosh. Gray level face recognition using spatial features. Vol. 1035. Communications in computer and information sciences (CCIS), Springer (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9181-1_20)
  • KC, Santosh. Can we learn/understand image semantics from conventional neural networks?. In Communications in computer and information science, Springer. (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9181-1_45)
  • KC, Santosh. Temporal super-pixel based convolutional neural network (TS-CNN) for human activity recognition in unconstrained videos. Vol. 1035. Communications in computer and information sciences (CCIS), Springer (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9181-1_23)
  • KC, Santosh. Text Extraction Using Sparse Representation over Learning Dictionaries. Vol. 1037. Communications in computer and information sciences (CCIS), Springer (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9187-3_1)
  • KC, Santosh. Artistic multi-character script identification using iterative isotropic dilation algorithm. In Communications in computer and information sciences, Springer. Vol. 1037. (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9187-3_5)
  • KC, Santosh. Lazy learning based segregation of top-3 South Indian languages with LSF-A feature. Vol. 1035. Communications in computer and information sciences (CCIS), Springer (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9181-1_40)
  • KC, Santosh. SISU - A speaker identification system from short utterances. Vol. 1035. Communications in computer and information sciences (CCIS), Springer (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9181-1_39)
  • KC, Santosh. A Survey on Extreme Learning Machine and Evolution of its Variants. Vol. 1035. Communications in computer and information sciences (CCIS), Springer (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9181-1_50)
  • KC, Santosh. An empirical study of the ELM on face matching. In Communications in computer and information sciences, Springer. Vol. 1035. (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9181-1_25)
  • KC, Santosh. Infrared Image Pedestrian Detection Techniques with Quantitative Analysis. Vol. 1037. Communications in computer and information sciences (CCIS), Springer (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9187-3_37)
  • KC, Santosh. Learning deep feature for face spoofing. Vol. 861035. Communications in computer and information sciences (CCIS), Springer (selected, recent trends in image processing & pattern recognition), 2019. (DOI: 10.1007/978-981-13-9181-1_16)
  • KC, Santosh. Let Vehicles Talk with Images for Smart Vehicular Communication System. Vol. 1035. Communications in computer and information sciences (CCIS), Springer (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9181-1_2)
  • KC, Santosh. Recurrent Neural Network Based Classification of Fetal Heart Rate using Cardiotocograph. Vol. 1036. Communications in computer and information sciences (CCIS), Springer (selected, recent trends in image processing & pattern recognition)., 2019. (DOI: 10.1007/978-981-13-9184-2_20)
  • KC, Santosh. Speech processing in healthcare: can we integrate?. Intelligent speech signal processing, Academic press, Elsevier, 2019. (DOI: 10.1016/B978-0-12-818130-0.00001-5)
  • KC, Santosh. Editor, CCIS Series, Vol. 1036: Recent Trends in Image Processing and Pattern Recognition. Vol. 1036. Communications in Computer and Information Science book series, 2019. (DOI: 10.1007/978-981-13-9184-2)
  • KC, Santosh. Feature Learning for Offline Handwritten Signature Verification Using Convolutional Neural Network. International Journal of Technology and Human Interaction, 2019. (DOI: 10.4018/IJTHI.2019100105)
  • KC, Santosh. Contrast stretching-based unwanted artifacts removal from CT images. Communications in computer and information sciences (CCIS), Springer (selected, recent trends in image processing & pattern recognition)., 2019.
  • KC, Santosh. An ensemble learning-based language identification system. Lecture Notes in Electrical Engineering, Springer, 2019.
  • KC, Santosh. Guest Editor, Special Issue: Advances in Deep and Machine Learning for Data Mining, Knowledge Representation, and Reasoning. International Journal of Ambient Computing and Intelligence, IGI Global (to appear), 2019.
  • KC, Santosh. Editor, CCIS Series, Vol. 1037: Recent Trends in Image Processing and Pattern Recognition. Communications in Computer and Information Science book series, 2019. (DOI: 10.1007/978-981-13-9184-3)
  • KC, Santosh. Editor, CCIS Series Vol. 1035: Recent Trends in Image Processing and Pattern Recognition. Communications in Computer and Information Science (CCIS) series, Springer Nature, 2019. (DOI: 10.1007/978-981-13-9181-1)
  • KC, Santosh. A lazy learning-based language identification from speech using MFCC-2 features. International Journal of Machine Learning and Cybernetics, Springer, 2019.
  • KC, Santosh. Automated fractured bone segmentation and labeling from CT images. Journal of Medical Systems, Springer Nature, 2019. (DOI: 10.1007/s10916-019-1176-x)
  • KC, Santosh. Deep learning for spoken language identification: Can we visualize speech signal patterns?. Neural Computing and Applications, Springer Nature, 2019.
  • KC, Santosh. Deep learning-based music chord family identification. Advances in Intelligent Systems and Computing series, 2019.
  • KC, Santosh. Guest editor of the special issue: Image processing and pattern recognition in multimedia. Multimedia Tools and Applications, Springer Nature (to appear), 2019.
  • KC, Santosh. Linear predictive coefficients-based feature to identify top-7 spoken language. International Journal of Pattern Recognition & Artificial Intelligence, World Scientific , 2019. (DOI: 10.1142/S0218001420580069)
  • KC, Santosh. segFast-02: Semantic-based image segmentation using encoder-decoder compression architecture. International Journal of Machine Learning & Cybernetics, Springer, 2019. (DOI: 10.1007/s13042-019-01005-5)
  • KC, Santosh. Segregating musical chords for automatic music transcription: A LSTM-RNN approach. Lecture Notes in Computer Science, Springer Series, 2019.
  • KC, Santosh. Improved word level handwritten Indic script identification through integrated small convolutional neural networks. Neural Computing and Applications, Springer, 2019. (DOI: 10.1007/s00521-019-04111-1)
  • KC, Santosh. Editor of the book: Medical imaging through AI, image recognition and machine learning techniques. CRC Press (Taylor & Francis Group), 2018.
  • KC, Santosh. Editor, Document Processing using Machine Learning Techniques. CRC Press (Taylor & Francis Group), 2018.
  • KC, Santosh. Guest Editor of the Special Issue: Advances in Speech, Music and Audio Signal Processing. International Journal of Speech Technology, Springer, 2018.
  • KC, Santosh. A Systematic Review on Orthopedic Simulators for Psycho-Motor Skill and Surgical Procedure Training. Vol. 42, Iss. 9. Journal of Medical Systems, Springer, 2018. (DOI: 10.1007/s12652-018-0878-0)
  • KC, Santosh. (Book) Document Image Analysis: Current Trends and Challenges in Graphics Recognition, 200 pages. Iss. 1. Springer Nature, 2018. (DOI: 10.1007/978-981-13-2339-3)
  • KC, Santosh. Line spectral frequency-based features and extreme learning machine for voice activity detection from audio signal, 753-760. Vol. 21, Iss. 4. International Journal of Speech Technology, Springer, 2018. (DOI: 10.1007/s10772-018-9525-6)
  • KC, Santosh. Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. Vol. 42, Iss. 8. Journal of Medical Systems, Springer, 2018. (DOI: 10.1007/s10916-018-0991-9)
  • KC, Santosh. Handwritten Indic script identification in multi-script document images: A survey. Vol. 32, Iss. 10. International Journal of Pattern Recognition & Artificial Intelligence, World Scientific, 2018. (DOI: 10.1142/S0218001418560128)
  • KC, Santosh. Extreme learning machine for handwritten Indic script identification in multi-script documents. Journal of Electronic Imaging, SPIE, 2018. (DOI: 10.1117/1.JEI.27.5.051214)
  • KC, Santosh. Circle-like foreign element detection in chest x-rays using normalized cross-correlation and unsupervised clustering. International Conference on Medical Imaging, SPIE, 2018. (DOI: 10.1117/12.2293739)
  • KC, Santosh. (Book) Document understanding: Table processing. Springer Nature (to appear), 2018.
  • KC, Santosh. Deep learning for word-level handwritten Indic script identification. Cornell University Library (arXiv.org), 2018. (DOI: arXiv:1801.01627)
  • KC, Santosh. Guest editor of the Special Issue: AI and deep learning in healthcare. Journal of Healthcare Informatics Research, Springer Nature (to appear), 2018.
  • KC, Santosh. Handwritten Indic Script Identification: A multilevel approach. Communications in Computer and Information Science (CCIS), Springer Series (selected, CICBA 2018 conference), 2018.
  • KC, Santosh. Identification of top-3 spoken Indian languages: An Ensemble learning-based approach. IEEE International Conference on Research in Computational Intelligence, 2018.
  • KC, Santosh. Instrumentals/songs separation for background music removal. Advances in Intelligent Systems and Computing (AISC), Springer (ITSRCP, 2018), 2018.
  • KC, Santosh. Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare. International Journal of Machine Learning and Cybernetics, Springer, 2018.
  • KC, Santosh. Performance of different classifiers on MFCC-based phoneme recognition for automatic language identification. Communications in Computer and Information Science (CCIS), Springer Series (selected, CICBA 2018 conference), 2018.
  • KC, Santosh. Segregation of Speech, Music and Instrumentals with LSF-RG features. IEEE International Conference on Software, Knowledge, Information Management & Applications , 2018.
  • KC, Santosh. Angular relational signature-based chest radiograph image view classification. Medical & Biological Engineering & Computing, Springer, 2018. (DOI: 10.1007/s11517-018-1786-3)
  • KC, Santosh. Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare. International Journal of Machine Learning and Cybernetics, Springer, 2018.
  • KC, Santosh. Content independent writer identification on Bangla script: A document level approach. Vol. 32, Iss. 9. International Journal of Pattern Recognition & Artificial Intelligence, World Scientific, 2018. (DOI: 10.1142/S0218001418560116)
  • KC, Santosh. Investigation of DNA discontinuity for detecting Tuberculosis. Journal of Ambient Intelligence and Humanized Computing, Springer, 2018. (DOI: 10.1007/s12652-018-0878-0)
  • KC, Santosh. Imperceptible watermark for a game-theoretic watermarking system. International Journal of Machine Learning and Cybernetics, Springer, 2018. (DOI: 10.1007/s13042-018-0813-x)
  • KC, Santosh. Automated chest X-ray screening: can lung region symmetry help detect pulmonary abnormalities?. Vol. 37, Iss. 5. IEEE Transactions on Medical Imaging, 2018. (DOI: 10.1109/TMI.2017.2775636)
  • KC, Santosh. PHDIndic_11: Page-level handwritten document image dataset of 11 official Indic scripts for script. Vol. 77, Iss. 2. Multimedia tools and applications, Springer, 2018. (DOI: 10.1007/s11042-017-4373-y)
  • KC, Santosh. Automatic Indic script identification from handwritten documents: page, block, line and word-level approach. Int. J. of Machine Learning & Cybernetics, Springer, 2017. (DOI: 10.1007/s13042-017-0702-8)
  • KC, Santosh. Foreign Circular Element Detection in Chest X-rays for Effective Automated Pulmonary Abnormality Screening. Vol. 7, Iss. 2. Int. J. of Computer Vision and Image Processing (IJCVIP), IGI global, 2017. (DOI: 10.4018/IJCVIP.2017040103)
  • KC, Santosh. Guest Editor of the Special Issue: International Conference on Recent Trends in Image Processing and Pattern Recognition. Vol. 7, Iss. 2. International Journal of Computer Vision and Image Processing (IJCVIP), IGI global, 2017. (DOI: 10.4018/IJCVIP.2017040106)
  • KC, Santosh. Word-level multi-script Indic document image dataset and baseline results on script identification. Vol. 7, Iss. 2. Int. J. of Computer Vision and Image Processing (IJCVIP), IGI global, 2017. (DOI: 10.4018/IJCVIP.2017040106)
  • KC, Santosh. Automatic Line-Level Script Identification From Handwritten Document Images - A Region-Wise Classification Framework For Indian Subcontinent. Malaysian J. of Computer Science (MJCS), 2017.
  • KC, Santosh. Automated chest X-ray image view classification using force histogram. Vol. 709. Communications in Computer and Information Science (CCIS), Springer, Revised papers: Int. Conf. on Image Processing & Pattern Recognition, 2017. (DOI: 10.1007/978-981-10-4859-3_30)
  • KC, Santosh. A fast k-nearest neighbor classifier using unsupervised clustering. Vol. 709. Communications in Computer and Information Science (CCIS), Springer, Revised papers: Int. Conf. on Image Processing & Pattern Recognition, 2017. (DOI: 10.1007/978-981-10-4859-3_17)
  • KC, Santosh. Circular Foreign Object Detection in Chest X-ray Images. Vol. 709. Communications in Computer and Information Science (CCIS), Springer, Revised papers: Int. Conf. on Image Processing & Pattern Recognition, 2017. (DOI: 10.1007/978-981-10-4859-3_35)
  • KC, Santosh. Complex and composite symbol recognition: a quick review. Vol. 709. Communications in Computer and Information Science (CCIS), Springer, Revised papers: Int. Conf. on Image Processing & Pattern Recognition, 2017. (DOI: 10.1007/978-981-10-4859-3_1)
  • KC, Santosh. Correspondence: Edge map analysis in chest X-rays for automatic pulmonary abnormality screening. Vol. 63. Indian Journal of Tuberculosis, Elsevier, 2017. (DOI: 10.1016/j.ijtb.2016.10.001)
  • KC, Santosh. Edge map for panel boundary detection to separate stitched multipanel biomedical figure. Int. Conf. on Image Processing & Pattern Recognition, CCIS, Springer, 2017.
  • KC, Santosh. Line segment-based stitched multipanel figure separation for effective biomedical CBIR, 16. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, 2017. (DOI: 10.1142/S0218001417570038)
  • KC, Santosh. Pattern recognition based on Hierarchical Description of Decision Rules using Choquet Integral, 13. Vol. 709. Communications in Computer and Information Science (CCIS), Springer, Revised papers: Int. Conf. on Image Processing & Pattern Recognition, 2017. (DOI: 10.1007/978-981-10-4859-3_14)
  • KC, Santosh. Word-level thirteen official Indic languages database for script identification in multi-script documents. Vol. 709. Communications in Computer and Information Science (CCIS), Springer, Revised papers: Int. Conf. on Image Processing & Pattern Recognition, 2017. (DOI: 10.1007/978-981-10-4859-3_2)
  • KC, Santosh. Editor, Recent Trends in Image Processing and Pattern Recognition, 452. Vol. 709. Communications in Computer and Information Science (CCIS) series, Springer, 2017. (DOI: 10.1007/978-981-10-4859-3)
  • KC, Santosh. Agreeing to disagree: active learning with noisy labels without crowdsourcing, 13. International Journal of Machine Learning & Cybernetics, Springer, 2017. (DOI: 10.1007/s13042-017-0645-0)
  • KC, Santosh. Arrow detection in biomedical images using sequential classifier, 1-14. International Journal of Machine Learning & Cybernetics, Springer, 2017. (DOI: 10.1007/s13042-016-0623-y)
  • KC, Santosh. Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays, 1-8. International Journal of Computer Assisted Radiology and Surgery, Springer, 2016. (DOI: 10.1007/s11548-015-1242-x)
  • KC, Santosh. Separating Indic Scripts with matra for effective handwritten script identification in multi-script documents. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, 2016. (DOI: 10.1142/S0218001417530032)
  • KC, Santosh. Automated chest X-ray screening: can edge map measure the evidence of pulmonary abnormalities?. Atlas of Science, 2016.
  • KC, Santosh. Edge map analysis in chest X-rays for automatic pulmonary abnormality screening, 1-10. International Journal of Computer Assisted Radiology and Surgery, Springer, 2016. (DOI: 10.1007/s11548-016-1359-6)
  • KC, Santosh. Overlaid arrow detection for labeling biomedical image regions, 1-1. Vol. PP, Iss. 99. Intelligent Systems, IEEE, 2016. (DOI: 10.1109/MIS.2016.24)
  • KC, Santosh. A Simple and Efficient Arrowhead Detection Technique in Biomedical Images, null. Vol. 0, Iss. ja. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, 2016. (DOI: 10.1142/S0218001416570020)
  • KC, Santosh. Automatic Pulmonary Abnormality Screening Using Thoracic Edge Map. In IEEE 28th International Symposium on Computer-Based Medical Systems, 360-361.. (DOI: 10.1109/CBMS.2015.50)
  • KC, Santosh. Automatically Detecting Rotation in Chest Radiographs Using Principal Rib-Orientation Measure for Quality Control, 1557001. Vol. 29, Iss. 02. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, 2015. (DOI: 10.1142/S0218001415570013)
  • KC, Santosh. Bayesian networks for incomplete data analysis in form processing, 347-363. Vol. 6, Iss. 3. International Journal of Machine Learning & Cybernetics, Springer, 2015. (DOI: 10.1007/s13042-014-0234-4)
  • KC, Santosh. Character recognition based on non-linear multi-projection profiles measure, 1-13. Frontiers of Computer Science, Springer, 2015. (DOI: 10.1007/s11704-015-3400-2)
  • KC, Santosh. g-DICE: graph mining-based document information content exploitation, 1-19. International Journal on Document Analysis and Recognition, Springer, 2015. (DOI: 10.1007/s10032-015-0253-z)
  • KC, Santosh. Graphical Symbol Recognition. In Wiley Encyclopedia of Electrical and Electronics Engineering, 1-22. John Wiley & Sons, Inc., 2015. (DOI: 10.1002/047134608X.W8260)
  • KC, Santosh. NLM at imageCLEF2015: Biomedical Multipanel Figure Separation. In Working Notes of CLEF 2015 - Conference and Labs of the Evaluationforum, edited by Cappellato, Linda; Ferro, Nicola; Jones, Gareth J. F.; SanJuan, Eric. Vol. 1391. CEUR-WS.org, 2015.
  • KC, Santosh. RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor, 1 - 12. Vol. 42. Image and Vision Computing, Elsevier, 2015. (DOI: 10.1016/j.imavis.2015.06.010)
  • KC, Santosh. Stitched Multipanel Biomedical Figure Separation. In IEEE 28th International Symposium on Computer-Based Medical Systems, 54-59.. (DOI: 10.1109/CBMS.2015.51)
  • KC, Santosh. Integrating vocabulary clustering with spatial relations for symbolrecognition, 61-78. Vol. 17, Iss. 1. International Journal on Document Analysis and Recognition, Springer, 2014. (DOI: 10.1007/s10032-013-0205-4)
  • KC, Santosh. DTW-Radon-Based Shape Descriptor for Pattern Recognition. Vol. 27, Iss. 3. International Journal of Pattern Recognition and Artificial Intelligence, World Scientific, 2013. (DOI: 10.1142/S0218001413500080)
  • KC, Santosh. Relative Positioning of Stroke-Based Clustering: a New Approach toOnline Handwritten Devanagari Character Recognition. Vol. 12, Iss. 2. International Journal of Image & Graphics, World Scientific, 2012. (DOI: 10.1142/S0219467812500167)
  • KC, Santosh. Symbol recognition using spatial relations, 331-341. Vol. 33, Iss. 3. Pattern Recognition Letters, Elsevier, 2012. (DOI: 10.1016/j.patrec.2011.09.040)

Awards and Honors:

  • Professor of the Game, Academic Affairs, USD, 2019
  • Belbas-Larson Award for Excellence in Teaching (nomination), 2019
  • President's Award for Reseach Excellence (New to Mid-Career Faculty), University of South Dakota, 2019
  • Best Paper Award, International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), 2018
  • Outstanding Reviewer Award (Top 10%), Applied Soft Computing Journal (Journal), Elsevier, 2018
  • Outstanding Reviewer Award (Top 10%), Pattern Recognition (Journal), Elsevier, 2018
  • Senior Member, IEEE, 2018
  • Belbas-Larson Award for Excellence in Teaching (nomination), 2018
  • Outstanding Reviewer Award (Top 10%), Future Generation Computer Systems (Journal), Elsevier, 2018
  • Belbas-Larson Award for Excellence in Teaching (nomination), 2017
  • Best Paper Award, International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), 2016
  • Outstanding Reviewer Award (Top 10%), Pattern Recognition (Journal), Elsevier, 2015
  • Health & human services (HHS)-ignite pathway team award for "Automatic X-ray Screening for Rural Areas", US department of health & human services (HHS), 2013
  • NLM-ORAU research fellowship (NIH), Research fellow, 2013
  • Postdoc research fellowship, ITESOFT - Universite de Lorraine, 2011
  • PhD thesis, INRIA-CRODI research grant, FP6 European project, 2008
  • Best Paper Award, Int. Conf. on Knowledge, Information and Creativity Support Systems (KICSS), 2006
  • MS thesis, Asian development bank - Japan scholarship program (ADB-JSP), 2005
  • Engineering merit student award, Pokhara University, 1999

Presentations:

  • KC, Santosh. Pattern Analysis and Machine Intelligence (PAMI): Healthcare to Document Engineering. Presented at the International workshop on recent trends in image processing and pattern recognition, Maharastra, India. (December 20, 2018)
  • KC, Santosh. AI tools in healthcare: do we really seek for deep learning?. Presented at the International distinguished lecture, Bidar, India. (December 19, 2018)
  • KC, Santosh. Healthcare experts: I am scared of Artificial Intelligence (AI) tools, I rather expect Close-to-Expert Intelligence (CEI) tools. Presented at the Invited talk, Bangalore, India. (December 18, 2018)
  • KC, Santosh. AI, Machine Learning and Medical Experts: How can they tie?. Presented at the Invited talk, Guntur, India. (December 17, 2018)
  • KC, Santosh. Can AI help medical experts: image recognition and machine learning?. Presented at the Invited talk, India. (December 15, 2018)
  • KC, Santosh. Pattern analysis & machine intelligence (PAMI): Medical Imaging. Presented at the Invited talk, Mankato, MN. (November 28, 2018)
  • KC, Santosh. AI tools in healthcare: can machine read lung diseases in chest radiographs?. Presented at the Invited talk, Brookings, SD. (November 16, 2018)
  • KC, Santosh. AI in healthcare: can deep features work as expected?. Presented at the Invited talk, Fargo, North Dakota. (November 2, 2018)
  • KC, Santosh. Artificial Intelligence (AI) in Infectious Disease Screening and Care. Presented at the 3rd International Conference on Infection Control, Vancouver, Canada. (June 2018)
  • KC, Santosh. Frankenstein inspires discussions on AI, Intelligent Systems and Trends. Presented at the Frankenstein 200!, University of South Dakota. (February 27, 2018)
  • KC, Santosh. AI and Machine Learning in Healthcare. Presented at the SDSU Data Science Symposium, SDSU,, Brookings, SD. (February 12, 2018)
  • KC, Santosh. Pattern Analysis and Machine Intelligence in Healthcare Informatics (e-Talk). Presented at the Int. Conf. on Image Proc. & Patt. Recog. (RTIP2R), 2016, Bidar, INDIA. (December 2016)
  • KC, Santosh. Automated chest X-ray screening to detect Tuberculosis. Presented at the Academic Alliance for Tuberculosis, Rochester, MN. (November 2016)
  • KC, Santosh. Machine learning: Chest X-ray Screening for the Evidence of Pulmonary Abnormalities. Presented at the World Congress on Infectious Diseases (keynote address), Philadelphia, PA. (August 26, 2016)
  • KC, Santosh. Automatic Chest X-ray screening for Tuberculosis. Presented at the Invited talk, Sanford School of Medicine, The University of South Dakota. (January 14, 2016)
  • KC, Santosh. Automatic chest X-ray screening for rural areas, to detect pulmonary abnormalities. Presented at the Invited Talk, Department of Mathematics and Statistics, South Dakota State University. (October 19, 2015)
  • KC, Santosh. Automatic pulmonary abnormality screening using thoracic edge map. Presented at the US National Library of Medicine (NLM) Fellowship Series Talk, LHNCBC, US National Library of Medicine, NIH. (June 15, 2015)
  • KC, Santosh. Automatically detecting rotation in chest x-ray for quality control. Presented at the US National Library of Medicine (NLM) Associate Lecture Series Talk, LHNCBC, US National Library of Medicine, NIH. (October 29, 2014)
  • KC, Santosh. Spatial relations and shape analysis for document information content exploitation. Presented at the Introducing Talk, LHNCBC, US National Library of Medicine, NIH. (July 11, 2013)
  • KC, Santosh. Graphics recognition in the real-world industrial problem. Presented at the Invited Colloquium Talk, Department of Computer Science, Dortmund University, Germany. (December 14, 2012)
  • KC, Santosh. Graphics recognition using spatial relations and shape analysis. Presented at the Invited Colloquium Talk, LIPADE, Universite Paris Descartes (Paris V). (November 11, 2012)
  • KC, Santosh. Pattern analysis and recognition in document images. Presented at the Invited Talk (Webinar), IEEE Computer Society, India Council. (November 03, 2012)
  • KC, Santosh. Pattern recognition and retrieval methods - application to document images. Presented at the Invited Talk, SnT, University of Luxembourg, Luxembourg. (May 15, 2012)
  • KC, Santosh. Pattern recognition and localization in document images. Presented at the Invited Talk, Institute for Computer Vision, University of Siegen, Germany. (March 20, 2012)
  • KC, Santosh. Online Cursive Handwritten Character Recognition. Presented at the Introducing Lecture, QGAR, LORIA (UMR 7503) Research Centre, France. (November 27, 2008)