THOMAS JOSEPH
Assistant Professor
Areas of Specialization
Computer Aided Design. |
Areas of Interest
Applications of Artificial Intelligence in Mechanical Systems, Tribology. |
- NIVYA WILSON
- SIVAKUMAR K. S.
- RENJU FRANCIS
- ROY JOSEPH
- JASMIN JOSE
- Dr. ADARSH N. GOKUL
- PRIYA JOSE
- SUGANTHI T.
- VIJI E. P.
- RICH K. J.
- TONY C. J.
- NIDHIN JOHNSON
- BIBIN JOY
- LT COL JACOB ED (RETD)
- V S SUBRAMANIAN
- O P KURIAKOSE
- SIJO C. G.
- Dr. V. M. XAVIOUR
- Dr. JENSON P. O.
- Dr. DENNYMOL P. V.
- Dr. SANDHYA E.
- TINTU DEVASSY
- VIDYA V. MENON
- ANTONY JOSEPH
- SHAWN PADIKKALA
- Mr. Shaiju Paul
- Dr. SWAPNA B.SASI
- Mr. Thomas George K
- Ms. Aswathy Wilson
- Dr. SHINY M.I
- ANEESH CHANDRAN
- ANEESH P B
- Ms. Sobha Xavier P
- SUDHEESH.C.N
- Ms. Ninu Francis
- Ms. Sajitha I
- Ms. Lufiya George C
- Dr. Saju P John
- Dr. Vijayakumar R
- DIVYA C R
- Ms. Jyothsna G K
- Ms. Sonia A Joseph
- Ms. Neeraja James
- Ms. Neethu Joseph C
- SUDHEESH K
- Ms. Sona Shaju K
- Mr. Saju Jose Chitilapilly
- Ms. Anumol C. S
- Dr. Valanto Alappat
- Mr. Arun K
- Mr. Vysagh M
- Treesa C. A
- Ms. Neethu T. V
- Dr. Shyjith M. B
- Ms. Blesmi Rose Joseph
- Dr. Geethu Mary George
- Ms. Reedhu Saji
- PRAVEEN RAJ
- MANOJ KUMAR V K
- CHRISTY V VAZHAPPILLY
- SUKESH O P
- NIKHIL N.S
- SUNEETH SUKUMARAN
- Dr. BIJU C V
- NICE MENACHERY
- HAREESH. N V
- MELVINRAJ C R
- K T VELAYUDHAN
- SHAJU C A
- GURUVAYURAPPAN V
- DAVIS C.C
- JAISON M J
- JOPHY P J
- Dr CIJIL B JOHN
- PARAMESWARAN K
- ANTO ZACHARIAS
- Dr. LAWRANCE C.A.
- Dr. DEEPANRAJ B
- Dr. Biju P. L
- DR. S KRISHNANUNNI
- SATHYA DEV D
- THOMAS JOSEPH
- Mr. Jomin George
Educational Summary
Course | University | Year |
---|---|---|
B. Tech (Mechanical Engineering) | University of Kerala | 2011 |
M.E (computer Aided Design) | Anna University | 2014 |
PhD( Pursuing) | APJ Abdul Kalam Technological University |
Experience
From Date | To Date | Institution Name | Designation |
---|---|---|---|
2023-02-01 | 0000-00-00 | Jyothi Engineering college | Asst. Professor |
2024-08-31 | 2023-01-31 | NSS College of Engineering, Palakkad | Ass. Professor(Adhoc) |
2014-08-10 | 2022-08-30 | Jawaharlal College of Engineering and Technology, Lakkidi, Ottapalam | Asst. Professor |
2011-07-26 | 2012-07-26 | Jawaharlal College of Engineering and Technology, Lakkidi, Ottapalam | Lecturer |
Achievements
Achievement | Year |
---|---|
An Indian Patent “An Artificially Intelligent Computational Fluid Dynamics Method for Smart Valves” | 2022 |
Receives financial assistance of Rs:9000/- from Kerala State Council for Science, Technology and Environment for the project titled “Alcohol Detection and Locking System” | 2020 |
Papers Published
Joseph, T., Keerthi Krishnan, K., Sudeep, U. (2022). A Comparative Study of Rolling Bearing Fault Classification Using CWT-CNN and STFT-CNN Methods. 12th ICIT conference, Tribology society of India and IIT Delhi, 11/12/2022-14/12/2022; Also published In: Tribology for Energy, Environment and Society. ICOIT 2022. Lecture Notes in Mechanical Engineering, Springer nature. |
T. Joseph, U. Sudeep, K. Krishnan K, S. Khanam, ‘An Improved Rolling Bearing Fault Diagnosis Model of Long Short-Term Memory Network Based on VMD Denoised Vibration Signals’, International Journal of Acoustics and Vibration, vol. 29, no. 3, pp. 296–304, Sep. 2024, doi:10.20855/ijav.2024.29.32064. (SCIE) |
T. Joseph, U. Sudeep, K. Krishnan K, ‘CycleGAN denoising of recurrence plots of rolling bearing vibration signals for improved fault classification.’, Journal of Mechanical science and Technology (Accepted) (SCIE) |
Thomas Joseph, U Sudeep, K. Keerthi Krishnan, Deep Learning Based Fault Diagnosis of Rolling Bearing Using Spectrogram and CWT Images of Vibration data” Presented in 11th ICACC conference, IEEE and RSEET, 06/11/2024-08/11/2024. |
Conferences / Workshop / FDPs Attended
Presented a topic “A COMPARATIVE STUDY OF ROLLING BEARING FAULT CLASSIFICATION USING CWT-CNN AND STFT-CNN METHODS “a conference conducted by tribological society of India and IIT Delhi named as India Trib-2022. |
Presented a topic “A REVIEW ON ARTIFICIAL INTELLIGENCE BASED EARLY FAULT DETECTION OF ROLLING BEARINGS USING MODAL DECOMPOSITION OF VIBRATION DATA” Second Virtual International Conference on Advanced Technologies and Research in Mechanical Engineering, ISBN: 978-81-956814-0-2. Organized by Department of Mechanical Engineering MEA Engineering College. |
Presented a topic Vibrational Analysis of Tapered Core Sandwich Beam at National level Conference on Recent Advances in Engineering and Technology Conducted by ISTE and Gharda Institute of technology Ratnagiri Maharashtra. at 15,16-11-2013 |
Attended 5 Days training programme, Mission 10x on High Impact Teaching Skills Conducted by Wipro from 19-03-2012 to 23-03-2012 |
Attended 7 Days ETI Training for NSS Program Officers from 15-03-2021 to 21-03-2021 at Empaneled training Institute for NSS, university of Calicut. |
Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online FDP on "Artificial Intelligence" from 30-04-2020 to 04-05-2020 at College of Technology and Engineering, Udaipur. |
Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online FDP on "3D Printing" from 2020-11-9 to 2020-11-13 at MBM ENGINEERING COLLEGE JODHPUR. |
Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online FDP on "Waste Technology" from 2020-11-2 to 2020-11-6 at Manipal University Jaipur. |
Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online FDP on "Data Analysis and Machine Learning using Python" from 2021-07-12 to 2021-07-16 at School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya. |
Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online FDP on "Operations Management" from 16/08/2021 to 20/08/2021 at Goa College of Engineering. |
Participated & completed successfully AICTE Training and Learning (ATAL) Academy Online FDP on " Conceptual and Practical Knowledge Sharing and Training Sessions on Computational Fluid Dynamics" from 2021-6-14 to 2021-6-18 at Nehru Institute of Engineering and Technology. |
Presented a topic "Deep Learning Based Fault Diagnosis of Rolling Bearing Using Spectrogram and CWT Images of Vibration data" in 11th ICACC conference conducted by IEEE and RSEET on 06/11/2024-08/11/2024. |
Projects Guided
Projects Name | Details | Year |
---|---|---|
Comparative study of Machine learning and Deep learning classifiers for rollimg bearing fault diagnosis | 2023-2024 | |
Intelligent fault identification and classification of rolling bearing faults using machine learning techniques from frequency domain features | 2023-2024 |