Portfolio

View my CV here and my extended research portfolio here.

Research Interests

Machine Learning, Mathematical Modeling, Astroinformatics, Finance Technology, Brain Computer Interfacing, Image Processing

Skills

  1. Programming Languages that I have an intermediate to advanced knowledge of: Python, C, C++
  2. Programming Languages that I have a beginnier-level to intermediate knowledge of: SQL, Java, MATLAB, Processing
  3. Markup Languages: LaTeX, HTML, CSS
  4. Other technologies that I have a working knowledge of: Arduino, Raspberry Pi, Android Studio, scikit-learn, scipy, numpy
  5. Relevant coursework in my undergraduate studies: Engineering Mathematics (included topics in linear algebra, differential equations, series, fourier transforms, laplace transforms, numerical methods, basic statistics, etc.) (spanning four courses across semesters), Discrete Mathematics, Design and Analysis of Algorithms, Automata Theory, Pattern Recognition, System Modeling and Simulation
  6. Languages: English, Hindi, Bengali

Published Work

  1. Snehanshu Saha, Suryoday Basak, Margarita Safonova, Kakoli Bora, Surbhi Agrawal, Jayant Murthy, Poulami Sarkar, Theoretical Validation of Potential Habitability via Analytical and Boosted Tree Methods: An Optimistic Study on Recently Discovered Exoplanets, submitted to Astronomy and Computing (Elsevier), Preprint, Link
  2. Suryoday Basak, Design of Assistive Speller Machine Based on Brain Computer Interfacing, Handbook of Research on Applied Cybernetics and Systems Science (2017), ISBN-13: 978-1522524984, Link
  3. Snehanshu Saha, Poulami Sarkar, Archana Mathur, Suryoday Basak, Model Visualization in understanding rapid growth of a journal in an emerging area, submitted to Journal of Scientometric Research, Preprint
  4. Surbhi Agrawal, Margarita Safonova, Kakoli Bora, Suryoday Basak, Snehanshu Saha, Note on Proxima Centauri b: Theoretical validation of potential habitability via CD-HPF, Astrobiology Newsletter, Vol.10, No.4, 2017, Link
  5. Suryoday Basak, Varun Murthy, Alternate Interface for Electronic Drum Kits Based On Computer Vision, International Journal of Applied Engineering Research (IJAER), Vol.10, No.48 (Special Issues), pp.32578-32582, 2015, Link

Accepted Papers

  1. Suryoday Basak, Saibal Kar, Snehanshu Saha, Luckyson Khaidem, Sudeepa Roy Dey, Predicting the Direction of Stock Market Price Using Tree Based Classifiers, North American Journal of Economics and Finance (Elsevier), Preprint
  2. Mohammed Viquar, Suryoday Basak, Ariruna Dasgupta, Surbhi Agrawal, Snehanshu Saha, Machine Learning in Astronomy: A Case Study in Quasar-Star Classification, submitted to IEMIS 2018, Kolkata, Paper to appear in Springer Advances in Intelligent Systems and Computing (AISC) Series Preprint

Papers Under Revision

  1. Abhishek Bansal, Snehanshu Saha, Archana Mathur, Gouri Ginde, Sriparna Saha, Saroj K. Meher, Sandra Anil, Swati Sampatrao Ghambhire, Sudeepa Roy Dey, Suryoday Basak, Pitfalls of Publish or Perish: A novel framework for Modeling and Ranking Internationality of Scholarly Publications, submitted to Scientometrics (SCIM), Preprint

Submitted Papers

  1. Suryoday Basak, Surbhi Agrawal, Snehanshu Saha, Abhijit Jeremiel Theophilus, Kakoli Bora, Gouri Deshpande, Jayant Murthy, Habitability Classification of Exoplanets: A Machine Learning Insight, Astronomy and Computing (Elsevier), Preprint

Research in Progress

  1. Suryoday Basak, Snehanshu Saha, Kakoli Bora, Abhijit Jeremiel Theophilus, Margarita Safonova, Jayant Murthy, Gouri Deshpande, Surbhi Agrawal, CEESA Meets Machine Learning: A Constant Elasticity Earth Similarity Approach to Habitability and Classification of Exoplanets
  2. Jayant Murthy, Suryoday Basak, Preethi Krishnamoorthy, Snehanshu Saha, Exploring the GALEX Catalog with Statistical Modeling and Machine Learning
  3. Suryoday Basak, Snehanshu Saha, Saibal Kar, Modeling Fluctuations in Prices of Pharmaceutical Stocks Using the Heat Equation With Constant Volatility

Datasets and Catalogs

  1. CEESA Catalogs: CEESA DRS Catalog and CEESA CRS Catalog
  2. CDHS Catalog

Posters

  1. Snehanshu Saha, Jayant Murthy, Madhu Kashyap, Surbhi Agrawal, Suryoday Basak, Swati Routh, Kakoli Bora, Anand Narasimhamurthy, Pros and Cons in Classification of Exoplanets: in Search for Right Habitability Metric, 36th Meeting of the Astronomical Society of India, Osmania Univeristy, Hyderabad, India, Link
  2. Suryoday Basak, Kakoli Bora, Abhijit Jeremiel Theophilus, Margarita Safonova, Surbhi Agrawal, CEESA Meets Machine Learning: A Constant Elasticity Earth Similarity Approach to Habitability and Classification of Exoplanets, Drone Computing Symposium, IEEE Bangalore Section (presented on a special track), Link
  3. Center for Applied Mathematical Modeling and Simulation, Estimating Planetary Habitability: Theory of convex optimization and metaheuristics, Link

Ebook

  1. [work in progress]Snehanshu Saha, Kakoli Bora, Suryoday Basak, Gowri Srinivasa, Margarita Safonova, Jayant Murthy and Surbhi Agrawal, Machine learning in Astronomy: A Workman’s Manual, Link

Technical Reports and Working Papers

  1. Margarita Safonova, Snehanshu Saha, Jayant Murthy, Suryoday Basak, Madhu Kashyap Jagadeesh, Surbhi Agrawal, Kakoli Bora, Pros and Cons of Classification of Exoplanets: in Search for the Right Habitability Metric, ResearchGate: Link
  2. Luckyson Khaidem, Snehanshu Saha, Suryoday Basak, Sudeepa Roy Dey, Predicting the direction of stock market prices using random forest, ResearchGate: Link
  3. Suryoday Basak, Snehanshu Saha, Exposition on Random Forest: A Stock Example, ResearchGate: Link
  4. Suryoday Basak, Snehanshu Saha, Kakoli Bora, Surbhi Agrawal, Star Galaxy Separation using Adaboost and Asymmetric Adaboost, ResearchGate: Link
  5. Shubharti Dey, Yash Kumar, Snehanshu Saha, Suryoday Basak, Forecasting to Classification: Predicting the direction of stock market price using Xtreme Gradient Boosting, ResearchGate: Link

Other Reports

  1. Ajay Singh, Namitha C. Reddy, Prateek Hegde, Suryoday Basak, Choice Experiment Based Assistive Chatbot, Final year project (submitted in partial fulfillment of undergraduate curriculum), Link
  2. Varun Murthy, Suryoday Basak, Dynamic Map Generation, Computer Graphics project (submitted in partial fulfillment of undergraduate curriculum), Link
  3. Suryoday Basak, Report on Methods of Binarization, Skew Correction and Word Segmentation Employed in Indic Tools, Link

Miscellaneous Activities and Mentions

  1. Promotional video for Handbook of Research on Applied Cybernetics and Systems Science, IGI Global. Link
  2. A discussion with Dr. Robert Haralick on the Emergence of Deep Learning. Link
  3. A discussion with Dr. Laurent Najman on Deep Learning and Interdisciplinary Research. Link
  4. A Discussion with Dr. Ansgar Reiners on Discovering Exoplanets. Link
  5. Robots Don't Kill People--People Kill People by Elizabeth Leber, IGI Global. Link

Leadership and Teaching Roles

  1. Seminar guide of final year students for a curriculum-related presentation
  2. Technical Advisor, PESITSouth Computer Society Chapter, 2017-18
  3. Secretary, PESITSouth ACM Student Chapter, 2016-17

Volunteer Activities

  1. Volunteer for the first Drone Computing Symposium by IEEE Computer Society Bangalore Section
  2. Chief organizer of Machine Learning 101 workshop in PESIT Bangalore South Campus (April–May 2017)
  3. Part of organizing team of inGenius 2016 Hackathon (September 2016)
  4. Chief organizer of Python 101 workshop in PESIT-BSC (April–May 2016)
  5. Programming contest organizer in PESIT-BSC for the years 2014-2016
  6. Volunteer for TEDxPESIT-BSC 2015

Awards

  1. Best Graduating/Outgoing Student Award, Department of Computer Science, PESIT Bangalore South Campus, 2017

External and Other Relevant Links

  1. Astroinformatics Research Group (AstrIRG)
  2. Astrostatistics and Astroinformatics Portal (ASAIP)
  3. Planetary Habitability Laboratory's Exoplanets Catalog
  4. International Astrostatistics Association (IAA)