Sardar Vallabhbhai Patel Education Society Managed

R. N. G. Patel Institute of Technology - RNGPIT

[Affiliated with GTU - Accredited with A+ grade by NAAC] [Approved by AICTE]

[An Autonomous Institute U/s UGC Act 1956] [100% Eligible Courses are Accredited by NBA]

[First Autonomous Engineering Institute in South Gujarat under GTU]

[Second Autonomous Engineering Institute in Gujarat under GTU]

Faculty Profile of Prof. Vivek C. Joshi

Profile

Prof. Vivek Joshi is a highly respected member of the faculty at RNGPIT’s Information Technology Department, with over 13 years of experience in academia and administration. With a Master’s degree in Computer Science & Engineering from VTU, Karnataka, and a Bachelor’s degree in Information Technology from the University of Pune, Prof. Vivek has been recognized for outstanding academic performance, earning a prestigious Gold Medal during his Master’s graduation. Currently, he is pursuing a Ph.D. in Artificial Intelligence at Gujarat Technological University, and their research focuses on developing non-invasive solutions for cancer detection using Deep Learning techniques. Dr. Vivek’s expertise encompasses a wide range of areas, including Data Science, Artificial Intelligence, Machine Learning, and Deep Learning. Prof. Vivek is not only involved in research but also plays a crucial role as the Coordinator for the Student Startup and Innovation Policy Cell, Government of Gujarat. In this capacity, he provides invaluable mentorship and guidance to students, assisting them in navigating the complexities of the Proof of Concepts, Prototypes, Intellectual Property Rights, and Startup ventures. Prof. Vivek has a wealth of practical experience, having filed and granted over ten industrial designs and patents, including an international patent, which underscores his commitment to fostering an environment of creativity and entrepreneurship within the academic community. Through his leadership, mentorship, and research efforts, Vivek continues to make significant contributions to both academia and industry, inspiring the next generation of innovators and thought leaders.

 

 vcjoshi@rngpit.ac.in

 

Prof. Vivek C. Joshi


Head of Deaprtment
PHD(Pursing)
M.tech . (CS)

Experience - 13+ years

Area of Specialization

Subjects Taught

Membership

Qualifications

QualificationUniversityPassing Year
Ph. D.(Pursuing)GTU, Ahmedabad2019
M.Tech  Visvesvaraiya  Technological University(VTU)2011
B.E.University of Pune , Pune.2009

Publications

International Conference

White Blood Cell Segmentation Using DeepLabv3+ for Improved Hematological Disease Detection presented and published in 2023 IEEE Region 10 Symposium

A new diagnosis using a parkinson’s dieses XGboost and CNN-based classification model using ML techniques.

Conference: IEEE international conference on conference on advanced computing technologies and application (ICACTA ’22)

International Journal

Empirical evaluation of filter pruning methods for acceleration of convolutional neural network in journal Multimedia Tools and Applications.

publisher: Springer dated 06-09-2023

Ensemble Learning based methods for Classification : An Overview Journal: Journal of Emerging Technologies and Innovative Research

May 2021 (ISSN : 2349-5162)

IUF Scheduling Algorithm to Improve Schedulability, Sustainability and Predictability of Real-Time System.

ICETET 2009. [ISBN :: 978-0-7695-3884-6 ]

Patents/IPR

International Patents

Indigenous compact device for early diagnosis of Neonatal hypothyroidism using Deep Learning.

Patent Authority: IP Australia Patent No.: 2021101430

National Patents

An IoT Based Neonatal Caddy.

Patent Application No.: 202221000306

GPS activated IoT based optimized center pivot irrigation system for low energy precision valley.

Patent Application No.: 202221000436

IoT based smart bin monitoring system for smart cities.

Patent Application No.: 202141042729

A novel electro acupuncture device for COVID treatment.

Patent Application No.: 202131022724

Design IPR

Mammogram breast cancer detection device.

Application No.: 347980-001

Surveillance Robot.

Application No.: 351315-001

Soldier Helmet.

Application No.: 356023-001

Smart watch.

Application No.: 356024-001