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Dr. Johnpaul C. I.
Dr. Johnpaul C. I.rameela2022-06-16T14:00:37+05:30
DEPARTMENT OF COMPUTER SCIENCE
Dr. Johnpaul C. I, Ph.D.
CHIRAYATH MANJIYIL HOUSE
P O MANNUTHY
KERALA – 680651
2017 – 2021 ] Ph.D., Computer Applications
National Institute of Technology, Tiruchirappalli, India, Institute for Development and Research in Banking Technology, IDRBT, Hyderabad. (Established by Reserve Bank of India)
Thesis title: Feature Based Representational Structures for Time Series
2011 – 2013 ] Master of Technology (M-Tech). Computer Science & Engineering.
Amrita Vishwavidyapeetham, Coimbatore, India
Thesis title: Graph Data Processing over Spark Based Inmemory Cluster Framework
and Performance Evaluation with Standard Parameters.
2006 – 2010 ] Bachelor of Technology (B-Tech). Computer Science & Engineering.
Government Engineering College, Sreekrishnapuram, Palakkad, Kerala, India
University of Calicut
Area of Research:
Feature Engineering in Machine Learning and Deep Learning
Tojo, M., Niyas, S., Johnpaul, C. I., Jyothi R, K., & Jeny, R. (2022). A novel deep classifier framework for automated molecular subtyping of breast carcinoma using immunohistochemistry image analysis. Biomedical Signal Processing and Control (BSPC), 76, 103657, Impact Factor: 3.8. doi:https://doi.org/10.1016/j.bspc.2022.103657
Johnpaul, C. I., Munaga, V. N. K. P., Nickolas, S., & Gangadharan, G. (2021a). Fuzzy representational structures for trend based analysis of time series clustering and classification. Knowledge-Based Systems, Elsevier, 222, 106991, Impact Factor: 8.038. doi:https://doi.org/10.1016/j.knosys.2021.106991
Johnpaul, C. I., Munaga, V. N. K. P., Nickolas, S., & Gangadharan, G. (2021b). Representational primitives using trend based global features for time series classification. Expert Systems with Applications, Elsevier, 167, 114376, Impact Factor: 6.9. doi:https://doi.org/10.1016/j.eswa.2020.114376
Johnpaul, C. I., Munaga, V. N. K. P., Nickolas, S., & Gangadharan, G. (2020). Trendlets: A novel probabilistic representational structures for clustering the time series data. Expert Systems with Applications, Elsevier, 145, 113119, Impact Factor: 6.93. doi:https://doi.org/10.1016/j.eswa.2019.113119
Johnpaul, C. I., Munaga, V. N. K. P., Nickolas, S., & Gangadharan, G. (2019). General representational automata using deep neural networks. Data Knowledge Engineering, Elsevier, 122,159–180, Impact Factor: 1.99. doi:https://doi.org/10.1016/j.datak.2019.06.004
Johnpaul, C. I., Munaga, V. N. K. P., Nickolas, S., Gangadharan, G., & Aiello, M. (2021). An optimal wavelet detailed-coefficient determination using time-series clustering. In N. N. Chiplunkar & T. Fukao (Eds.), Advances in artificial intelligence and data engineering (pp. 857–872). Singapore: Springer Singapore.
Johnpaul, C. I., & Mathew, T. (2017a). A cypher query based nosql data mining on protein datasets using neo4j graph database. In 2017 ieee 4th international conference on advanced computing and communication systems (icaccs) (pp. 11–16). IEEE.
Johnpaul, C. I., & Mathew, T. (2017b). Np-completeness of an optimization problem on plants selection using reduction method. In 2017 ieee international conference on intelligent computing, instrumentation and control technologies (icicict) (pp. 176–181). IEEE.
Mathew, T., & Johnpaul, C. I. (2017). Reversible data hiding in encrypted images using interpolation-based distributed space reservation. In 2017 ieee 4th international conference on advanced computing and communication systems (icaccs) (pp. 112–118). IEEE.
Johnpaul, C. I., & Sunith, S. (2015). Request based efficiency comparison of a xmpp server in erlang with a python server. In International conference on computers and communication, (iccc) (pp. 272–278). Tata McGrawHill Education.
Johnpaul, C. I., & Neetha, S. T. (2014). Distributed in-memory cluster computing approach in scala for solving graph data applications. In 2014 ieee international conference on advances in electronics computers and communications (pp. 1–6). IEEE.
Johnpaul, C. I., Elson, P., & Najeeb, K. (2010). Gap-genetic algorithm based power estimation technique for behavioral circuits. In In proceedings of international conference on computers, communication and intelligence. (pp. 95–100). VCET, Madhurai.
Spark: An Inmemory Cluster Computing Framework for Distrubuted Computing at Department of Computer Science and Engineering, Amritavishwavidyapeetham, Coimbatore, May 2013, India.
Time Series Learning and PythonWavelets Package at Kamaraj College of Engineering and Technology, Virudanagar, Tamil nadu, June 2021, India.
Class of NP Problems at Lal Bahadur Shasthri Institute of Technology for Women, Poojapura, Trivandrum, India, July 2021
Machine Learning and Optimization at Government Engineering College, Sreekrishnapuram, Palakkad, India, December 2021
Time Series Analysis at National Institute of Technology, Tiruchirappalli, India, December 2021
Deep Learning in Data Science Perspective at Government Engineering College, Sreekrishnapuram, Palakkad, India, March 2022
Pathways Of Applied Deep Learning In Cybersecurity: Quick Basics To Deep Learning With Cyber Security Use Cases. at The National Institute of Engineering, NIE-Mysuru, Karnataka, India, April 2022
Awards and Achievements
2010 – Merit Award, Gate Scholarship 2011
2014 – Merit Award, Best Paper Award, In 2014 IEEE international conference on advances in electronics computersand communications
2017-2021 – Merit Award, Ph.D Research Scholarship from Ministry of Human Resource and Development (MHRD – India)
2018- Travel Grant, Visited University of Stuttgart, Germany during my Ph.D tenure
for interacting with the collaborators of an Indo-Dutch project work named
2018-till now – Journal Reviewer, Expert Systems With Applications (Elsevier), IEEE Access (IEEE), Sadhana (Indian Academy of Sciences) (Springer), Knowledge Based Systems (KBS) (Elsevier), IEEE Computers, Software & Applications in an Uncertain
2019-till now – ProgramChair, COMPSAC, Annual IEEE Conference usually held across the world. COMPSAC (2022) will be held at Torino, Italy.
Data Science For Engineers. Indian Insitute of Technology, Madras (IIT-M) and
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