Specialization

Machine Learning, Deep Learning, Healthcare

Email

jinee.goyal@thapar.edu

Educational Qualifications 
 
•    PhD in Computer Science and Engineering Department from Punjab Engineering College (Deemed to be University), Chandigarh. (2018-2021)
•    MTech (Computer Science and Engineering) from Punjab Engineering College (Deemed to be University), Chandigarh with CGPA 8.8 from 2016-2018. 
•    BTech (Computer Science and Engineering) from Guru Nanak Dev Engineering College, Ludhiana with percentage 84.44 from 2012-2016. 
 
Experience 
 
•    Working as an Assistant Professor in Thapar Institute of Engineering and Technology (Deemed to be University), Patiala, India. (March,2023-Present).
•    Worked as an Assistant Professor in Bennett University (Times Now Group), Greater Noida, Noida, India. (March 2022-Feb,2023).
•    Worked as a Teaching Assistant in 12-weeks NPTEL online course on ‘Deep Learning-Part 1’ 
•    Worked as a Teaching Assistant in 1 month course on ‘Programming with Python and IoT Perspective’ organized at ‘Centre for Skill Development & Entrepreneurship, Punjab University, Chandigarh’ in association with ‘The Ministry of Electronics & Information 
Technology (MeitY), Government of India, R&D in CC&BT’. 
•    Worked as a Teaching Assistant in 1 month course on ‘Deep Learning’ organized at ‘Centre for Skill Development & Entrepreneurship, Punjab University, Chandigarh’ in association with ‘The Ministry of Electronics & Information Technology (MeitY), Government of India, R&D in CC&BT’. 
 
Publications 
 
•    Published a research article titled ‘A Hybrid Approach for Parkinson’s Disease diagnosis with Resonance and Time-Frequency based features from Speech Signals’ in Elsevier Journal ‘Expert Systems and Applications’ with SCIE indexing and an Impact factor of 8.665. 
•    Published a review article titled ‘Classification, Prediction, and Monitoring of Parkinson’s disease using Computer Assisted Technologies: A Comparative Analysis’ in Elsevier Journal ‘Engineering Applications of Artificial Intelligence’ with SCIE indexing and an Impact factor of 7.802. 
•    Published a research article titled ‘A Comparative Analysis of Machine Learning classifiers for Dysphonia-based classification of Parkinson’s Disease’ in Springer Journal ‘International Journal of Data Science and Analytics’ with Scopus Indexing. 
•    Published a research article titled ‘Analysis of Parkinson's disease diagnosis using a combination of Genetic Algorithm and Recursive Feature Elimination’ and attended an IEEE conference ‘2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)’ with Scopus indexing 
 
Patents
 
•    Published Indian patient titled ‘AI-Based Smart Vehicle Traffic Management System’ authored by Prakhar Consul, Deepanshi, Shivani Gaba, Atul Rathi, Ishan Budhiraja, Aditya Bhardwaj, Jinee Goyal, Vimal Kumar Baghel, Deepak Garg, Neeraj Kumar, Zatin Gupta (Application number – 202211025356) in Office of Controller General of Patents, Designs and Trade Marks.
 
Other Activities
 
•    Certified Apple Authorized Trainer program on Swift Programming.
•    Participated in 4 weeks Train the Trainer (T3) program conducted by Apple on the topic “Fundamentals of Swift Programming”.
•    Industrial Coordinator of Apple, Deloitte, ARM for Bennett University.
•    Participated in 3 days IEEE conference titled ‘2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)’, London 
•    Attended 5 days Faculty development program on ‘Machine Learning and Data Analytics with Python’ at DIT University in association with IIT Roorkee. 
•    Attended 3 days 15th winter School on Speech and Audio Processing at IIT, Mandi. 
•    Attended 5 days IEEE SPS Summer School on Deep Learning for Sensor Signal Analytics. 
•    Attended 5 days faculty development program on ‘Cyber Security’ at PEC, Chandigarh in association with AICTE Training and Learning (ATAL) Academy, Jaipur.