VisionCog

Research and Development Pvt. Ltd.

VisionCog R&D is a unique initiative to pursue both training and research activities in Computing and Artificial Intelligence (AI). Major sub-fields of AI which VisionCog R&D focuses are Machine Learning / Deep Learning, Computer Vision and Biometrics. The adoption of AI technologies in literally all domains open up exciting new job opportunities in industries and academic research. This trend will mandate several industries to adapt AI and people to up-skill their proficiency in AI in the coming years. VisionCog R&D provides training and research consultancy in the AI domain.



Events


Current

Advanced ML Course

Previous

2022

  • 6, 11, 12 April 2022, "Disruptive Technologies and Challenges in Data Science, Artificial Intelligence and Machine Learning”, Dayananda Sagar College of Engineering, Bangalore
  • 11 March 2022 - Introduction to Machine Learning, Rohini College of Engineering, Kanyakumari

2021

  • 16 Sept 2021 - Research Perspectives of Machine Learning, SCT College of Engineering, Thiruvananthapuram
  • 13-14 August 2021 - Mathematical Foundations for Machine Learning and Data Science, SSN College of Engineering, Chennai
  • 27-31 July 2021 - Mathematics for Machine Learning, NIT Arunachal Pradesh
  • 26 April 2021 - Introduction to Python, Vimal Jyothi Engineering College, Kannur
  • 23-27 Mar 2021 - Add-on Course on Machine Learning, Dept of CSE; LMCST, Trivandrum
  • 09, 11 Mar 2021 - Advances in Deep Learning Approaches, College of Engineering, Trivandrum
  • 04 - 06 Mar 2021 - Workshop on Deep Learning for Computer Vision and Time Series Data Analysis, Amrita Vishwa Vidyapeetham, Kochi
  • 04 - 05 Feb 2021 - STTP on Artificial Intelligence and Deep Learning, Crescent Institute, Chennai
  • 25 - 30 Jan 2021 - Mathematics for Machine Learning, NIT Arunachal Pradesh
  • 22 Jan 2021 - Deep Learning for Computer Vision, Keynote Speech, ICSEE 2021, Govt. College of Engg, Kannur

2020

  • 16-26 Dec 2020 - Introduction to Machine Learning, Sreenidhi Institute of Science and Technology, Telangana
  • 11 Dec 2020 - ML Project Perspective, College of Engineering, Perumon, Kerala.
  • 03-04 Dec 2020 - STTP on Artificial Intelligence and Deep Learning Techniques, Crescent Institute, Chennai
  • 03 Nov 2020 - Deep Learning for Time Series Analysis, SRM University, Chennai
  • 27, 30 Oct 2020 - Data Visualizations and Business Intelligence, Aligarh Muslim University, Uttar Pradesh
  • 14-17 Oct 2020 - Machine Learning for Agriculture, Manipal University, Karnataka
  • 14-18 Sept 2020 - Advanced Image Analysis, NIT, Arunachal Pradesh
  • 09-12 Sept 2020 - STTP on Machine Learning Models, Manipal University, Karnataka
  • 04-08 Aug 2020 - Workshop on Data Science, NIT, Arunachal Pradesh
  • 22-24 Jul 2020 - Deep Learning with TensorFlow, CUSAT, Kerala
  • 14-20 Jul 2020 - Deep Learning for Computer Vision, RIT Kottayam, Kerala
  • 26-29 Feb 2020 - Course on Deep Learning, CUSAT, Kerala
  • 10 Feb 2020 - Machine Learning Overview, St. Joseph's College of Engineering and Technology, Palai, Kerala
  • 01-02 Feb 2020 - Introduction to Python, SCT College of Engineering, Trivandrum, Kerala
  • 30 January 2020 - Introduction to Deep Learning, CUSAT, Kerala
  • 29 January 2020 - Exploring Research and Projects in AI, Vidya Academy, Thrissur, Kerala
  • 14 January 2020 - Regression Analysis, University of Kerala, Trivandrum, Kerala
  • 01 - 04 January 2020 - Course on Deep Learning, College of Engineering, Trivandrum, Kerala

2019

  • 31 December 2019 - Machine Learning Limitations and Challenges, College of Engineering, Karunagappally, Kerala
  • 16-21 December 2019 - Advanced Machine Learning Techniques, Manipal Institute of Technology, Karnataka
  • 02-06 December 2019 - Workshop on Deep Learning, University College of Engineering, Trivandrum, Kerala
  • 21-23 October 2019 - Workshop on Machine Learning, College of Engineering, Vadakara, Kerala
  • 2nd October 2019 - ConvNets and Transfer Learning, School of AI, Trivandrum, Kerala
  • 17th - 20th September 2019 - Training on Deep Learning, ASAP, Trivandrum, Kerala
  • 13th - 14th September 2019 - Workshop on Deep Learning for Computer Vision, SRM University, Chennai, Tamil Nadu
  • 29th August to 1st September 2019 - Workshop on Deep Learning, CET, Trivandrum, Kerala
  • 5th to 9th August 2019 - Workshop on Artificial Intelligence, Vidya Academy, Thrissur, Kerala
  • 24th - 26th July 2019 - FDP on Machine Learning Techniques & Tools, College of Engg, Vadakara, Kerala
  • 4th - 6th July 2019 - FDP on Information and Network Security Challenges, SCMS, Ernakulam, Kerala
  • 1st - 2nd July 2019 - Workshop on Data Science, College of Engineering, Trivandrum, Kerala.
  • 27th May 2019 - Introduction to Machine Learning, VJEC, Kannur, Kerala.
  • 20th to 24th May 2019 - Summer School on Deep Learning, CUSAT, Cochin, Kerala.
  • 20th April 2019 - Gradient Descent Optimization, School of AI, Trivandrum, Kerala.
  • 2nd April to 5th April 2019 - Workshop on Introduction to Machine Learning, Lourdes Matha College of Science & Technology, Kuttichal, Trivandrum.
  • 21st & 22nd March 2019 - Machine Learning Fundamentals - Hands on session, RIT, Kottayam, Kerala
  • 19th March 2019 - Machine Learning-Hands on session, College of Engineering, Perumon, Kerala
  • 8th to 10th March 2019 - Computer Vision using Deep Learning, Marian Engineering College, Trivandrum, Kerala
  • 23rd February 2019 - AICTE Workshop on Artificial Intelligence, Barton Hill College of Engineering, Trivandrum, Kerala
  • 19th to 21st February 2019 - Hands on workshop on Deep Learning, Data Science Research Lab, CUSAT, Cochin, Kerala.
  • 5th and 6th February 2019 - STTP in Computer Vision and Deep Learning, Govt. College of Engineering, Kannur, Kerala.
  • 29th and 30th January 2019 - FDP in Deep Learning - College of Engineering, Perumon, Kerala.

2018

  • 17th to 22nd December 2018 - Training session in Machine Learning, ASAP, Kerala.

Schedule

Introduction to Programming
C & Julia

Day Date Description Materials download link
- -
  • Reference materials for C
Download as zip file
Day 01 20-Sept-2022;
Tuesday
  • General Introduction
Download as zip file
Day 02 23-Sept-2022;
Friday
  • Hello World!
Download as zip file
Day 03 27-Sept-2022;
Tuesday
  • Program Execution; Variable
Download as zip file
Day 04 07-Oct-2022;
Friday
  • Input/Output; Examples
Download as zip file
Day 05 08-Oct-2022;
Saturday
  • Operators - Part I
Download as zip file
Materials will be shared on respective days of lecture
Notes
  • Updated version of Google Chrome browser is required for hands-on using Google Colab
  • Link to download the materials will be disabled after the event is completed. Please remember to keep your personal copies.

Advanced Machine Learning

Models and Methods

PhD level coursework in Advanced ML

Instructor

Dr Ram Prasad K, PhD

Director, VisionCog R&D



Course Highlight

  • Emphasis on both classical/statistical and deep learning models and methods
  • Training to learn advanced concepts directly from research papers and articles
  • Implement and understand state of the art ML models and methods using popular tools/libraries

Content Highlight

  • SVM, Random Forests, Boosting, Clustering, Projections, Manifolds, Bayesian Learning
  • CNN, RNN, GNN, GAN, CapsNet, Autoencoders, Attentions, Transformers, BERT & GPT variants
  • Hyperparameter tuning, ML optimizations, CV, NLP, Time series and Graph structure applications

Tools Highlight

  • Numpy, Matplotlib, Pandas, Scikit-Learn
  • TensorFlow, PyTorch, OpenCV, Scikit-Image
  • Spacy, Gensim, HuggingFace, Google Colaboratory environment

For more details clicke here.

Publications



PhD Thesis

  • R. P. Krish, Fingerprint Recognition for Forensic Applications, Universidad Autónoma de Madrid, 2015. [pdf]

Book Chapters

  • Ramos, D., Krish, R. P., Fierrez, J., Didier, M., “From Biometric Scores to Forensic Likelihood Ratios”, Chapter 14, Handbook of Biometrics for Forensic Science, Springer International Publishing AG, Tistarelly and Champod Eds, 2017. Pages: 305 - 327. [pdf]

Journals

  • Pratheep Kumar P; V. Mary Amala Bai; Ram P. Krish, “State-Of-The-Art Techniques for Classification of Breast Cancer Using Machine Learning and Deep Learning Methods: A Review", Network Modelling Analysis in Health Informatics and Bioinformatics, Springer, 2022 (under review).

  • Beshiba Wilson, Julia Punitha Malar Dhas, Ruma Madhu Sreedharan, Ram P. Krish., "Ensemble Learning based Classification on Local Patches from Magnetic Resonance Images to detect Iron depositions in Brain", International Journal of Bio-Inspired Computing, 2021, Vol. 17, No. 4., Pages 260-266. [pdf]

  • Krish, R. P., Fierrez, J., Ramos, D., & Gomez-Herrero, F., “Improving Automated Latent Fingerprint Identification using Extended Minutiae Types”, Information Fusion, Elsevier, 2019. Volume 50, Pages 9-19. [pdf]

  • Krish, R. P., Fierrez, J., Ramos, D., Ortega-Garcia, J., & Bigun, J., “Pre-registration of latent fingerprints based on orientation field”, IET Biometrics, 4(2), 2015., Volume 4, Issue 2, Pages 42-52. [pdf]

  • Martinez-Diaz, M., Fierrez, J., Krish, R. P., & Galbally, J., “Mobile signature verification: feature robustness and performance comparison”, IET Biometrics, 3(4), 2014. Volume 3, Issue 4, Pages 267-277. [pdf]

Conferences

  • Arun Kumar R., V. Anoosh Solayappan, Sree Sharmila T., Ram Prasad K., “Masked Deep Face Recognition using ArcFace and Ensemble Learning”, IEEE International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) Pune, 1-3 December 2021. [pdf]

  • Krish, R. P., Whelan, P. F., “Visual Speech Encoding based on Facial Landmark Registration”, Irish Machine Vision and Image Processing (IMVIP), Galway, 2016. [pdf]

  • Krish, R. P., Fierrez, J., & Ramos, D., “Integrating rare minutiae in generic fingerprint matchers for forensics”, IEEE International Workshop on Information Forensics and Security (WIFS), 2015. [pdf]

  • Krish, R. P., Fierrez, J., Ramos, D., Ortega-Garcia, J., & Bigun, J., “Pre-registration for improved latent fingerprint identification”, IEEE 22nd International Conference on Pattern Recognition (ICPR), 2014. [pdf]

  • Krish, R. P., Fierrez, J., Ramos, D., Ortega-Garcia, J., & Bigun, J., “Partial fingerprint registration for forensics using minutiae-generated orientation fields”, IEEE International Workshop on Biometrics and Forensics (IWBF), 2014. [pdf]

  • Krish, R. P., Fierrez, J., Ramos, D., Veldhuis, R., & Wang, R., “Evaluation of AFIS-Ranked latent fingerprint matched templates”, Image and Video Technology, Springer Berlin Heidelberg, 2013. [pdf]

  • Wang, R., Ramos, D., Fierrez, J., & Krish, R. P., “Automatic Region Segmentation for High-resolution Palmprint Recognition: Towards Forensic Scenarios”, IEEE 47th International Carnahan Conference on Security Technology (ICCST), 2013. [pdf]

  • Krish, R. P., Fierrez, J., Galbally, J., & Martinez-Diaz, M., “Dynamic signature verification on smartphones”, In Highlights on Practical Applications of Agents and Multi-Agent Systems, Springer Berlin Heidelberg, 2013. [pdf]

  • Krish, R. P., Fierrez, J., Ramos, D., & Wang, R., “On the importance of rare features in AFIS-ranked latent fingerprint matched templates”, IEEE 47th International Carnahan Conference on Security Technology (ICCST), 2013. [pdf]

  • Wang, R., Ramos, D., Fierrez, J., & Krish, R. P., “Towards regional fusion for high-resolution palmprint recognition”, IEEE 26th SIBGRAPI-Conference on Graphics, Patterns and Images (SIBGRAPI), 2013. [pdf]

Blog

About

Dr Ram Prasad K, PhD

Ram Prasad received his Ph.D degree in Computer Science Engineering from Universidad Autónoma de Madrid, Spain, and pursued his postdoctoral research work at Dublin City University, Ireland. His doctoral and postdoctoral research works were funded by the prestigious European Commission's Marie Curie Fellowship. He was also a visiting researcher at University of Twente, Netherlands and University of Halmstad, Sweden. He graduated in Computer Science from Chennai Mathematical Institute, India. His expertise is in the areas of classical machine learning, deep learning, computer vision, biometrics, software developments and algorithm design. He is the founder and director of VisionCog Research and Development Private Limited, India and manages commercial R&D works in the domain of computer vision and biometrics.

Contact

email: ram.krish@visioncog.com

Address - Corporate

    VisionCog Research & Development Pvt. Ltd.
    Civil Station Road, Peroorkada
    Thiruvananthapuram 695005, Kerala, India