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KC Santosh

Chair, Computer Science/Associate Professor/Graduate Coordinator

COMPUTER SCIENCE

Arts & Sciences 201

Phone: (605) 677-3184

Email: Santosh.KC@usd.edu

Website: http://kc-santosh.org

Bio:

Dr. Santosh is the Chair and Associate Professor of the Department of Computer Science (CS) at the University of South Dakota (USD). Dr. Santosh served School of Computing and IT, Taylor's University as a Visiting Associate Professor, for one year (2019/2020). 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 served 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 has 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, document imaging, biometrics, forensics, speech analysis and Internet of Things. As of now (Aug. 2020), Dr. Santosh published more than 180 research works that include journal articles (70), conference proceedings (100+) and book chapters (11). He authored two books, and edited five books, 14 journal issues and six conference proceedings. Dr. Santosh serves as editor-in-chief for the International Journal of Signal and Image Processing and associate editor for multiple journals, such as the International Journal of Machine Learning & Cybernetics (Springer), Advances in Computational Intelligence (Springer), and IEEE Access. Dr. Santosh chaired more than 10 international conference events in the domain. His research projects are funded by multiple agencies, such as SDCRGP, Department of Education (DOE), National Science Foundation (NSF), and Asian Office of Aerospace Research and Development (AOARD). Dr. Santosh is the proud recipient of the President's Research Excellence Award (USD, 2019) and an award from the U.S. Department of Health & Human Services (2014).


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 (UMR 7503) - University of Lorraine, 2013
  • Ph D, Computer Science, INRIA , 2011
  • MS, Computer Science, SIIT, Thammasat University, 2007

Grants:

  • Conference event: Recent Trends in Image Processing & Pattern Recognition (RTIP2R, 2021), Internationalization Partnership & Awards Scheme Plus (IPAS+) 2020, The Malta Council for Science & Technology. Grant Role: Co-Principal. (2020 - 2021)
  • NSF Graduate Training Program: USD-N3 program, National Science Foundation (NSF). Grant Role: Co-Principal. (2020 - 2021)
  • NSF Research Traineeship (NRT) Program: SPACT, National Science Foundation (NSF). Grant Role: Co-Principal. (2020 - 2021)
  • Developing Robust Framework for Practical Data Mining, Asian Office of Aerospace Research and Development (AOARD). Grant Role: Co-Principal. (2020 - 2021)
  • Conference Event: Computer Based Medical Systems (CBMS, 2020), IEEE. Grant Role: Principal. (2019 - 2020)
  • Deep Learning for Disaster Detection on Satellite Time Series Image Data in High-Performance Computing, Graduate Research & Creative Scholarship Grant. Grant Role: Principal. (2019 - 2020)
  • Deep Learning for Human Face Re-Identification, Graduate Research & Creative Scholarship Grant. Grant Role: Principal. (2019 - 2019)
  • Fingerprint Image Analysis, NSF-REU: SPACT. Grant Role: Principal. (2019 - 2019)
  • Image Analysis-Based Automated Text Reading from Display Devices, Council for Undergraduate Research and Creative Scholarship (CURCS). Grant Role: Principal. (2019 - 2019)
  • AI in Robotics: Deep Learning, Council for Undergraduate Research and Creative Scholarship (CURCS). Grant Role: Principal. (2019 - 2019)
  • Human Body Screening at the Airport using Deep Learning, Graduate Research & Creative Scholarship Grant. Grant Role: Principal. (2018 - 2019)
  • 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). Grant Role: Principal. (2018 - 2018)
  • Biomechanics of vascular smooth muscle cell in atherosclerosis, SD Board of Regents Competitive Research Grant (CRG). (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.

  • Santosh, KC. Understanding Cartoon Emotion using Integrated Deep Neural Network on Large Dataset. Neural Computing and Applications, Springer Nature, 2021.
  • Santosh, KC. AI-driven tools for coronavirus outbreak: Need of active learning and cross-population train/test models on multitudinal/multimodal data. Journal of Medical Systems, Springer Nature, 2020. (DOI: 10.1007/s10916-020-01562-1)
  • Santosh, KC. Book: COVID-19: Prediction, Decision-Making, and its Impact. Book series in Lecture Notes on Data Engineering and Communications Technologies, Springer Nature, 2020. (DOI: 10.1007/978-981-15-9682-7)
  • Santosh, KC. Book: Intelligent Systems and Methods to Combat COVID-19. Springer Briefs in Applied Sciences and Technology, Springer Nature, 2020. (DOI: 10.1007/978-981-15-6572-4)
  • Santosh, KC. COVID-19 Prediction Models and Unexploited Data. Journal of Medical Systems, Springer Nature, 2020. (DOI: 10.1007/s10916-020-01562-1)
  • Santosh, KC. COVID-19: Psychological and Psychosocial Impact, Fear, and Passion. Digital Government: Research and Practice, ACM, 2020. (DOI: 10.1145/3428088)
  • Santosh, KC. Deep Neural Network to Detect COVID-19: One Architecture for both Chest X-rays and CT Scans. Applied Intelligence, Springer Nature, 2020. (DOI: 10.1007/s10489-020-01943-6)
  • Santosh, KC. Revisited COVID-19 mortality and recovery rates: are we missing recovery time period?. Journal of Medical Systems, Springer Nature, 2020. (DOI: 10.1007/s10916-020-01668-6)
  • Santosh, KC. Shallow Convolutional Neural Networks for COVID-19 Outbreak Screening using Chest X-rays. Cognitive Computation, Springer Nature, 2020. (DOI: 10.1007/s12559-020-09775-9)
  • Santosh, KC. Truncated Inception Net: COVID-19 Outbreak Screening using Chest X-rays. Physical and Engineering Sciences in Medicine, Springer Nature, 2020. (DOI: 10.1007/s13246-020-00888-x)
  • Santosh, KC. Automatic lung health screening using respiratory sounds. Journal of Medical Systems, Springer Nature, 2020. (DOI: 10.1007/s10916-020-01681-9)
  • Santosh, KC. Book: Deep Learning Models for Medical Imaging. Academic Press, Elsevier, 2020.
  • Santosh, KC. Cardiotocograph-based labor stage classification from uterine contraction pressure during ante-partum and intra-partum period - a fuzzy theoretic approach. Health Information Science and Systems, Springer Nature, 2020. (DOI: 10.1007/s13755-020-00107-7)
  • Santosh, KC. Colorectal Histology Tumor Detection using Ensemble Deep Neural Network. Engineering Applications of Artificial Intelligence, Elsevier , 2020.
  • Santosh, KC. Development of a Machine Learning Based Decision Support Mechanism for Predicting Chemical Tanker Cleaning Activity. Journal of Modelling in Management, 2020.
  • Santosh, KC. DevNet: an efficient CNN architecture for handwritten Devanagari character recognition. International Journal of Pattern Recognition & Artificial Intelligence, World Scientific, 2020. (DOI: 10.1142/S0218001420520096)
  • Santosh, KC. Editor (Conference Proceeding): 33rd IEEE International Symposium on Computer Based Medical Systems. IEEE Xplore, 2020. (DOI: 10.1109/CBMS49503.2020)
  • Santosh, KC. Gradient boosting in crowd ensembles for Q-learning using weight sharing. International Journal of Machine Learning & Cybernetics, Springer Nature, 2020. (DOI: 10.1007/s13042-020-01115-5)
  • Santosh, KC. Guest editor (Journal): Advances on Deep and Machine Learning for Data Mining, Knowledge Representation, and Reasoning. International Journal of Ambient Computing and Intelligence, 2020.
  • Santosh, KC. Guest Editor (Journal): Natural Language Processing in Healthcare and Medical Informatics. Information, MDPI, 2020.
  • Santosh, KC. Identifying Language from Songs. Multimedia Tools and Applications, Springer Nature, 2020. (DOI: 10.1007/s11042-020-10163-6)
  • Santosh, KC. Machine Translation using Deep Learning for UniversalNetworking Language based on their Structure. International Journal of Machine Learning & Cybernetics, Springer Nature, 2020.
  • Santosh, KC. Niblack Binarization on Document Images: Area Efficient, Low Cost, and Noise Tolerant Stochastic Architecture. International Journal of Pattern Recognition & Artificial Intelligence, World Scientific, 2020. (DOI: 10.1142/S0218001421540136)
  • Santosh, KC. Skin Cancer Classification through Quantized color features and Generative Adversarial Network. International Journal of Ambient Computing and Intelligence, 2020.
  • Santosh, KC. usfAD: A robust unsupervised stochastic forest-based anomaly detector. International Journal of Machine Learning & Cybernetics, Springer Nature, 2020. (DOI: 10.1007/s13042-020-01225-0)
  • Santosh, KC. Guest editor (Journal): Recent trends in image processing and pattern recognition. Vol. 79. Mu timedia Tools & Applications, Springer Nature, 2020. (DOI: 10.1007/s11042-020-10093-3)
  • Santosh, KC. Understanding movie poster: Transfer-deep learning approach for graphic-rich text recognition. The Visual Computer - International Journal of Graphics, Springer Nature, 2020.
  • Santosh, KC. Weber Local Descriptor for Image Analysis and Recognition: A Review. The Visual Computer - International Journal of Graphics, Springer Nature , 2020. (DOI: 10.1007/s00371-020-02017-x)
  • Santosh, KC. segFast-02: Semantic-based image segmentation using encoder-decoder compression architecture. International Journal of Machine Learning & Cybernetics, Springer Nature, 2019. (DOI: 10.1007/s13042-019-01005-5)
  • Santosh, KC. Speech processing in healthcare: can we integrate?. Intelligent speech signal processing, Elsevier Press, 2019. (DOI: 10.1016/B978-0-12-818130-0.00001-5)
  • Santosh, KC. A lazy learning-based language identification from speech using MFCC-2 features. International Journal of Machine Learning & Cybernetics, Springer Nature, 2019. (DOI: 10.1007/s13042-019-00928-3)
  • Santosh, KC. A novel data pre-processing technique robust to units and scales of measurement. The Australian Journal of Intelligent Information Processing Systems, 2019.
  • Santosh, KC. Automated fractured bone segmentation and labeling from CT images. Journal of Medical Systems, Springer Nature, 2019. (DOI: 10.1007/s10916-019-1176-x)
  • Santosh, KC. Automatic Indic script identification from handwritten documents: page, block, line and word-level approach. International Journal of Machine Learning & Cybernetics, Springer Nature, 2019. (DOI: 10.1007/s13042-017-0702-8)
  • Santosh, KC. Deep learning for spoken language identification: Can we visualize speech signal patterns?. Neural Computing and Applications, Springer Nature, 2019. (DOI: 10.1007/s00521-019-04468-3)
  • Santosh, KC. Editor (Conference Proceeding): Recent trends in image processing and pattern recognition. Vol. 1036. Communications in Computer and Information Science, book series, Springer Nature, 2019. (DOI: 10.1007/978-981-13-9184-2)
  • Santosh, KC. Editor (Conference Proceeding): Recent trends in image processing and pattern recognition. Vol. 1037. Communications in Computer and Information Science, book series, Springer Nature, 2019. (DOI: 10.1007/978-981-13-9187-3)
  • Santosh, KC. Editor (Conference Proceeding): Recent trends in image processing and pattern recognition. Vol. 1035. Communications in Computer and Information Science, book series, Springer Nature, 2019. (DOI: 10.1007/978-981-13-9181-1)
  • Santosh, KC. Feature Learning for Offline Handwritten Signature Verifica- tion Using Convolutional Neural Network. International Journal of Technology and Human Interaction, 2019. (DOI: 10.4018/IJTHI.2019100105)
  • Santosh, KC. Guest editor (Journal): Advances on speech, music and audio signal processing. Vol. 22, Iss. 2. International Journal of Speech Technology, Springer Nature, 2019. (DOI: 10.1007/s10772-019-09606-9)
  • Santosh, KC. Imperceptible watermark for a game-theoretic watermarking system. International Journal of Machine Learning & Cybernetics, Springer Nature, 2019. (DOI: 10.1007/s13042-018-0813-x)
  • Santosh, KC. Improved word level handwritten Indic script identification through integrated small convolutional neural networks. Neural Computing and Applications, Springer Nature, 2019. (DOI: 10.1007/s00521-019-04111-1)
  • Santosh, KC. Linear predictive coefficients-based feature to identify top-7 spoken language. International Journal of Pattern Recognition 8 & Artificial Intelligence, World Scientific, 2019. (DOI: 10.1142/S0218001420580069)
  • Santosh, KC. Book: Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques. CRC Press (prestigious CHOICE Outstanding Academic Title Award for 2020), 2019. (DOI: 10.1201/9780429029417)
  • Santosh, KC. Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare. International Journal of Machine Learning & Cybernetics, Springer Nature, 2019. (DOI: 10.1007/s13042-018-0887-5)
  • Santosh, KC. Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. Journal of Medical Systems, Springer Nature, 2018. (DOI: 10.1007/s10916-018-0991-9)
  • Santosh, KC. A Systematic Review on Orthopedic Simulators for Psycho-Motor Skill and Surgical Procedure Training. Journal of Medical Systems, Springer Nature, 2018. (DOI: 10.1007/s10916-018-1019-1)
  • Santosh, KC. Agreeing to disagree: active learning with noisy labels without crowdsourcing. Agreeing to disagree: active learning with noisy labels without crowdsourcing, Springer Nature, 2018. (DOI: 10.1007/s13042-017-0645-0)
  • Santosh, KC. Angular relational signature-based chest radiograph image view classification. Medical & Biological Engineering & Computing, Springer Nature, 2018. (DOI: 10.1007/s11517-018-1786-3)
  • Santosh, KC. Arrow detection in biomedical images using sequential classifier. International Journal of Machine Learning and Cybernetics, Springer Nature, 2018. (DOI: 10.1007/s13042-016-0623-y)
  • Santosh, KC. Automated chest X-ray screening: can lung section symmetry help detect pulmonary abnormalities?. IEEE Transactions on Medical Imaging, 2018. (DOI: 10.1109/TMI.2017.2775636)
  • Santosh, KC. Content independent writer identification on Bangla script: A document level approach. International Journal of Pattern Recognition & Artificial Intelligence, World Scientific, 2018. (DOI: 10.1142/S0218001418560116)
  • Santosh, KC. Edge map analysis in chest X-rays for automatic pulmonary abnor- mality screening. Indian Journal of Tuberculosis, Elsevier, 2018. (DOI: 10.1016/j.ijtb.2016.10.001)
  • Santosh, KC. 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)
  • Santosh, KC. Handwritten Indic script identification in multi-script document images: A survey. International Journal of Pattern Recognition & Artificial Intelligence, World Scientific, 2018. (DOI: 10.1142/S0218001418560128)
  • Santosh, KC. Investigation of DNA discontinuity for detecting Tuberculosis. Journal of Ambient Intelligence and Humanized Computing, Springer Nature, 2018. (DOI: 10.1007/s12652-018-0878-0)
  • Santosh, KC. Line spectral frequency-based features and extreme learning machine for voice activity detection from audio signall. International Journal of Speech Technology, Springer Nature, 2018. (DOI: 10.1007/s10772-018-9525-6)
  • Santosh, KC. PHDIndic 11: Page-level handwritten document image dataset of 11 official Indic scripts for script identification. Multimedia tools and applications, Springer Nature, 2018. (DOI: 10.1007/s11042-017-4373-y)
  • Santosh, KC. Book: Document Image Analysis: Current Trends and Challenges in Graphics Recognition. Springer Nature, 2018. (DOI: 10.1007/978-981-13-2339-3)
  • Santosh, KC. Guest editor (Journal): Recent trends in image processing and pattern recognition. Vol. 7, Iss. 2. International Journal of Computer Vision and Image Processing7, 2017.
  • Santosh, KC. Editor (Conference Proceeding): Recent trends in image processing and pattern recognition. Vol. 709, Iss. 1. Communications in Computer and Information Science, book series, Springer Nature, 2017. (DOI: 10.1007/978-981-10-4859-3)

Awards and Honors:

  • Belbas-Larson Award for Excellence in Teaching (nomination), University of South Dakota, 2020
  • Professor of the Game, Academic Affairs, USD, 2020
  • 2020 Outstanding Academic Title for a book, Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques, Choice, Association of College and Research Libraries - American Library Association, 2020
  • Professor of the Game, Academic Affairs, USD, 2019
  • Belbas-Larson Award for Excellence in Teaching (nomination), University of South Dakota, 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), University of South Dakota, 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:

  • Santosh, KC. AI for COVID-19: The Largest Project in the Universe. Presented at the 6th International Conference on Emerging Applications of Information Technology (EAIT), Online. (February 25, 2021)
  • Santosh, KC. COVID19 prediction and decision-making: a journey of pulmonary abnormality findings. Presented at the AICTE Sponsored Training Program (National), Online. (December 7, 2020)
  • Santosh, KC. #HealthcareAI: AI is not just for Screening, how about diagnosis?. Presented at the Machine Intelligence Research Labs, CA. (August 14, 2020)
  • Santosh, KC. AI-Driven Tools for Healthcare (COVID-19, special case). Presented at the 6th International Conference on Machine Vision and Machine Learning (MVML), Prague, Czech Republic. (August 13, 2020)
  • Santosh, KC. COVID-19 Reveals the Limits of AI-Driven Tools. Presented at the Artificial Intelligence for COVID-19 Forum, Online. (April 5, 2020)
  • Santosh, KC. Challenges in Healthcare: AI Tools from Speech Processing to CT Scans. Presented at the MGM Institute for Health Sciences, Mumbai, India. (January 13, 2020)
  • Santosh, KC. Not AI but Close-To-Expert Intelligence (CEI). Presented at the 5th International Conference on Computing in Engi- ? neering and Technology (ICCET), Nanded, India. (January 11, 2020)
  • Santosh, KC. Workshop on Face re-identification, verification, and recognition: handcrafted features to deep features. Presented at the Workshop/Tutorial: 5th International Conference on Computing in Engineering and Technology (ICCET), Nanded, India. (January 9, 2020)
  • Santosh, KC. Lung Abnormality Detection: Diagnostic or Screening Tests?. Presented at the Indian Statistical Institute (ISI) - Kolkata, Calcutta, India. (January 8, 2020)
  • Santosh, KC. Can AI and Machine Learning Scientists Ignore Healthcare Experts: Procedural or Non-procedural Solution?. Presented at the International Seminar on Trends in AI and Machine Learning Research, Calcutta, India. (January 7, 2020)
  • Santosh, KC. Smart healthcare: When it is possible?. Presented at the West Bengal University of Technology, West Bengal, India. (January 6, 2020)
  • Santosh, KC. Machine Vision and Medical Imaging. Presented at the 3rd Biennial International Conference on Recent Trends in Image Processing and Pattern Recognition, Maharashtra, India. (January 4, 2020)
  • Santosh, KC. 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)
  • Santosh, KC. AI tools in healthcare: do we really seek for deep learning?. Presented at the Karnatak Arts, Science and Commerce College, Bidar, India. (December 19, 2018)
  • Santosh, KC. Healthcare experts: I am scared of Artificial Intelligence (AI) tools, I rather expect Close-to-Expert Intelligence (CEI) tools. Presented at the BMS Institute of Technology, Bangalore, India. (December 18, 2018)
  • Santosh, KC. AI, Machine Learning and Medical Experts: How can they be tied?. Presented at the Vignans University, Guntur, India. (December 17, 2018)
  • Santosh, KC. Can AI help medical experts: image recognition and machine learning?. Presented at the SVERI college of Engineering, India. (December 15, 2018)
  • Santosh, KC. Pattern analysis & machine intelligence (PAMI): Medical Imaging. Presented at the Minnesota State University, Mankato, MN. (November 28, 2018)
  • Santosh, KC. AI tools in healthcare: can machine read lung diseases in chest radiographs?. Presented at the IEEE Siouxland Computer Society , Brookings, SD. (November 16, 2018)
  • Santosh, KC. AI in healthcare: can deep features work as expected?. Presented at the University of North Dakota, Fargo, North Dakota. (November 2, 2018)
  • Santosh, KC. Artificial Intelligence (AI) in Infectious Disease Screening and Care. Presented at the 3rd International Conference on Infection Control, Vancouver, Canada. (June 2018)
  • Santosh, KC. Frankenstein inspires discussions on AI, Intelligent Systems and Trends. Presented at the Frankenstein 200!, University of South Dakota. (February 27, 2018)
  • Santosh, KC. AI and Machine Learning in Healthcare. Presented at the SDSU Data Science Symposium, Brookings, SD. (February 12, 2018)
  • Santosh, KC. 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)
  • Santosh, KC. Automated chest X-ray screening to detect Tuberculosis. Presented at the Academic Alliance for Tuberculosis, Rochester, MN. (November 2016)
  • Santosh, KC. Automatic Chest X-ray screening for Tuberculosis. Presented at the Sanford School of Medicine, The University of South Dakota, SD. (January 14, 2016)
  • Santosh, KC. Automatic chest X-ray screening for rural areas, to detect pulmonary abnormalities. Presented at the Department of Mathematics and Statistics, South Dakota State University, Brookings, SD. (October 19, 2015)
  • Santosh, KC. Automatic pulmonary abnormality screening using thoracic edge map. Presented at the US National Library of Medicine (NLM), NIH, Bethesda, MD. (June 15, 2015)
  • Santosh, KC. Automatically detecting rotation in chest x-ray for quality control. Presented at the US National Library of Medicine (NLM) Associate Lecture Talk Series, NIH, LHNCBC, US National Library of Medicine, NIH. (October 29, 2014)
  • Santosh, KC. Spatial relations and shape analysis for document information content exploitation. Presented at the US National Library of Medicine (NLM), NIH, LHNCBC, US National Library of Medicine, NIH. (July 11, 2013)
  • Santosh, KC. Graphics recognition in the real-world industrial problem. Presented at the Department of Computer Science, Dortmund University, Dortmund, Germany. (December 14, 2012)
  • Santosh, KC. Graphics recognition using spatial relations and shape analysis. Presented at the LIPADE, Universite Paris Descartes (Paris V), Paris, France. (November 11, 2012)
  • Santosh, KC. Pattern analysis and recognition in document images. Presented at the IEEE Computer Society, India Council, India. (November 3, 2012)
  • Santosh, KC. Pattern recognition and retrieval methods - application to document images. Presented at the SnT, University of Luxembourg, Luxembourg. (May 15, 2012)
  • Santosh, KC. Pattern recognition and localization in document images. Presented at the Institute for Computer Vision, University of Siegen, Siegen, Germany. (March 20, 2012)
  • Santosh, KC. Online Cursive Handwritten Character Recognition. Presented at the QGAR, LORIA Research Centre, Nancy, France. (November 27, 2008)