Name

Mr. Nilesh Chandrakant Dhobale

Position

Assistant Professor

Department

Mechatronics Engineering

Email id

This email address is being protected from spambots. You need JavaScript enabled to view it.

Cell No

+91 9673035530

Extension No

-

Qualifications 

B.E(Mechanical Engg.), MTech (Mechatronics Engg.), PhD Pursuing (Mechatronics Engg.)

Experience

Teaching – 4.5 Year

Industry – 00 Year

Research Areas

Mechatronics, Robotics, Condition monitoring using Artificial Intelligence, Artificial Intelligence, Automation & Control systems

Publications

1.      NC Dhobale,SS Mulik, R Jegdeeshwaran,Supervision of miiling tool inserts using conventional and artificial intelligence approach- A Review,Journal of sound and Vibration,vol 55(2),2021.

2.      NC Dhobale,SS Mulik ,SPDeshmukh,Naïve Bayes and Bayes net classifier for fault diagnosis of end milling tool using wavelet analysis – A Comparative study,Journal of Vibration engineering and technologies,vol10,2022

3.      Sharad Mulik, Nilesh Dhobale,Kanchan Pujari,Kailash Karande, An Artificial intelligence based approach for Biomedical Application, CRC Press Taylor and Francis, Book Chapter 2022.

4.      Nilesh Dhobale, Sharad Mulik,Suhas Deshmukh, Kaustubh Ganer Condition monitoring of multipoint end mill tool using statistical features and J48 algorithm, Journal of Maharaja Sayajirao university of baroda,2021

5.       Chandan M N, Sharad Mulik, Nilesh Dhobale,Fault diagnosis of drilling tool using vibration signals and Lazy learning classifier, Journal of Maharaja Sayajirao university of baroda,2021.

6.      Milind Rohokale,Sharad Mulik,Nilesh Dhobale, Condition Monitoring of Broaching tool Using K -Star Algorithm, Journal of Maharaja Sayajirao university of baroda,2021.

7.      Dhananjay Kankal,RL Edlabadkar,Nilesh Dhobale, Wave Energy Convertor Technology: A Review, Journal of Maharaja Sayajirao university of baroda,2021.

8.      Nilesh C Dhobale, Krishagana S Chauhan, Tejas S Gaikwad, Health monitoring of VMC machine tool using Arduino UNO (vibration measurement) and machine learning algorithms AI, Journal of Emerging technologies and innovative research,2023.

9.      Nilesh C Dhobale, Krishagana S Chauhan, Tejas S Gaikwad, Health monitoring of vmc machine tool using arduino uno and machine learning algorithms, International Journal of creative research thought,2023.

Conferences

1.       PatangeA.D, R.Jegdeeshwaran, NC Dhobale, Milling cutter condition monitoring using machine learning approach, International conference of mechanical power Transmission,IIT Madras,2020.

2.      NC Dhobale, SS Mulik, R. Jegdeeshwaran, Kaustubh Ganer, Multipoint milling tool supervision using artificial neural network approach,materials today procedings,vol 45 part 2,2021

Workshops

1.      One week faculty development program on ‘Use of AI in Mechanical Engineering’ at RMD Sinhgad School of Engg Warje Pune,2021

2.      One week faculty development program on ‘Multidisciplinary faculty development program, at ISBM College of Engg. Pune,13-19 Dec 2023.

3.      Faculty development program on ‘Machine Learning’ at DYP Akurdi Pune 2023.

Reviewer

-

Professional Affiliations

Lifetime member of IAENG

Awards & Recognitions

1.      Elite grade on NPTEL course on ‘Introduction to Machine Learning’ by IIT Madras

2.      Keynote speaker on Research: Design, IPR& Publication

h-index (Scopus)

5

RG Score (Research Gate)

69.3

ORCID

0000-0003-1951-7117

Industry Connect

-

Funded Projects

-

Responsibilities @MMIT

IIC Convenor, ERP Coordinator, Member R&D