Dr. Chaitali Vivek Chandankhede

Bio

Dr. Chaitali Vivek Chandankhede is an experienced academician and researcher in the field of Computer Science and Engineering. She serves as an Assistant Professor at Dr. Vishwanath Karad MIT World Peace University with over 23 years of teaching experience.

Her expertise includes Machine Learning, Deep Learning, Data Analytics, Computer Vision, and Information Security. She holds a Ph.D. in Computer Science along with an M.E. in IT and an MBA in HR. She has guided numerous undergraduate and postgraduate projects and published several research papers in international journals and conferences, actively contributing to research, innovation, and student mentoring in emerging AI technologies.

Specialisation: Artificial Intelligence and Data Science

Areas of Expertise: Machine Learning, Deep Learning, Computer Vision, Information Security

Teaching Experience: 25 years

Education

Ph.D.: Ph. D. in Computer Science and Engineering, MITADT University

M.Tech: M. Tech. in Information Technology, SPPU, Pune

B.Tech: B. Tech. in Computer Science and Engineering, GCOE Amravati

Publications and Research Work:

1. Chaitali Chandankhede, Rajneeshkaur Sachdeo, “Offline MODI Lipi Character Recognition using Deep Learning Techniques”, International Journal of Multimedia Tools and Applications-Springer Nature, DOI- 10.1007/s11042-023-14476-0. (Web of Science, SCIE indexed, Q1 quartile), ISSN-13807501.

2. Sahas Parimoo, Chailtali Chandankhede, Pulkit Jain, Shreya Patankar, Aishwarya Bogam, “A Proposed System for Coronary Heart Disease using Rasberry Pi3”, International Conference on Advanced Computing and Intelligent Engineering, 23-25 November 2017, Central University of Rajasthan, Ajmer, India. DOI: https://doi.org/10.1007/978-981-13-0224-4_34(Scopus Indexed) (Springer).

3. 13. Sahas Parimoo, Chailtali Chandankhede, Pulkit Jain, Shreya Patankar, Aishwarya Bogam, “A Proposed System for Coronary Heart Disease using Rasberry Pi3”, International Conference on Advanced Computing and Intelligent Engineering, 23-25 November 2017, Central University of Rajasthan, Ajmer, India. DOI: https://doi.org/10.1007/978-981-13-0224-4_34(Scopus Indexed) (Springer)

Awards and Recognition: Best Paper Awards

1. Chaitali Chandankhede, Rajneeshkaur Sachdeo, “Classification of Modi Lipi Characters using Deep Learning Approach”, 4th International Conference on Data Analytics & Management (ICDAM-2023), organized by London Metropolitan University, London, UK,London Metropolitan University, London Date: 23rd-24th June 2023 (Springer LNNS series Approved). Received Best paper award. DOI: 10.1007/978-981-99-6547-2_39.

2. Chaitali Chandankhede, Ananya Sharma, Dharmika Tank, “Speech Emotion Recognition Using Deep Learning”, 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA 2024), 23rd-24th August 2024(Scopus). Received Best paper award. DOI: 10.1109/ICCUBEA61740.2024.10774956

Patents Published/Granted:

1. Invention titled “A method for implementing a smart livestock health monitoring system utilizing a mobile Application and machine learning models”. Application No.202521083730 Publication Date: 19/09/2025.

2. Invention titled “A Parking Assistance System” granted on 28/6/2023 in South Africa patent .

3. Invention titled “Process and apparatus for conversion of waste plastic into liquid and gaseous fuel” Publication Date: 20/9/2009.(Indian)

Subjects Taught: Machine Learning, Deep Learning, Information and Cyber Security, object-oriented programming

Scopus Id:
https://www.scopus.com/authid/detail.uri?authorId=56568428600

Google scholar Id:
https://scholar.google.com/citations?user=iDcANtwAAAAJ&hl=en

Orchid Id:
https://orcid.org/0000-0002-1291-6636

Linked In:
https://www.linkedin.com/in/dr-chaitali-chandankhede-6697651b6/