Designation: Assistant Professor
Education: Ph.D Pursuing, M Tech in Computer Science and Technology
Professional Experience: 10 Years
Post Graduation: M Tech in Computer Science and Technology, School of Computer Science ,M G University
Under Graduation: • Bachelors of Technology in Computer Science & Engineering, Saintgits college of Engineering, Kottayam
Ph.D(Pursuing): Sathyabama Institute of Science and Technology
Research Interest: Machine Learning, Deep Learning
Participations & Paper Publications:
- Presented a paper “A comprehensive study on the performance of different Multi-class Classification Algorithms and Hyperparameter Tuning Techniques using Optuna”, in IEEE International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS-2022), Indexed in Scopus, ISBN-978-1-6654-6883-1
- Participated in Five days FDP on Machine Learning and Deep Learning, 30/5/22-3/6/2022, by Dr.Shailesh Kumar.
- AICTE Training And Learning (ATAL) Academy Online FDP on “Artificial Intelligence” from 2020-11-9 to 2020-11-13 at National Institute of Technology Calicut.
- AICTE Training And Learning (ATAL) Academy Online FDP on “Artificial Intelligence” from 2020-11-9 to 2020-11-13 at National Institute of Technology Calicut.
- National Workshop on Machine Learning- BCM
- Publish paper “Review on different types of drag and drop mobile app development platforms” on UGC indexed Journal International Journals of computer sciences and engineering Journal.
- Publish paper “Overview of Different Data Clustering Algorithms for Static and Dynamic Data Sets” on UGC indexed Journal International Journals of computer sciences and engineering Journal.
- Paper on Proactive Routing Protocol for Asymmetric Sensor Networks at National Conference on Advanced Techniques in Computer Science (NATCOM’14) TKM Institute of Technology, Kollam | March 14th, 2014.
- Presented my research work “Scalability study of a hybrid Zigbee multipath routing protocol” :-International conference on emerging trends in Engineering and Technology at Bangaluru.
- Publish paper “Scalability study of a hybrid Zigbee multipath routing protocol” on IJIRCCE Journal.
- Publish paper “Scalable Performance Testing of a ZigBee Protocol for High Data Rate Application” in IJST Journal.
Achievements
- Faculty coordinator of Funded ML project – Collaboration with Arab Open University
- Resource Person-Python and Artificial Intelligence & Machine Learning Developer Course-ASAP Kerala
- Got Second rank in M.G University for M.Tech with specialization Communication and Technology.
- Got Sun Certification in Java SCJP Certification
Certifications and Skill Development Courses
- Deep Learning, 12 Weeks, 4 Credit , Swayam NPTEL
- Computer Vision and Image processing fundamentals and applications, 12 Weeks, 4 Credit, Swayam NPTEL
- PHP Development online course ,Photoshop In Depth, Python :- Udemy
- One week Faculty development Programme on Machine Learning: – Saintgits College of Engineering.
- Android Development Using MITAppInventor2 : -Saintgits College of Engineering
- Logistic Regression with Python and Numpy, Simple RNN with Keras, Perform Sentimental analysis with Scikit-learn, Anomaly Detection in Time series Data with Keras, Introductiomn to Data Science in Python :-COURSERA
Contact Details
Phone: 8921240480
Email ID: johnsymol.joy@saintgits,org (Official)
Johnsymoljoy07@gmail.com (Personal)