Designation: Assistant Professor
Qualification: B.E. (Hons) (CSE), M. Tech. (Hons) (CS), Ph. D. (CS)
Area of Interest: Machine Learning, Data Analytics, Medical Image Processing, Artificial Intelligence
Phone No: +91-9109985297
E-Mail:
DR. TEJASWITA MISHRA
- Education and Qualification:
- Doctor of Philosophy (PhD). in Computer Science.
- Master of Technology (Computer Science) with Honors
- Bachelor of Engineering (Computer Science & Engineering) with Honors
- Work Experience:
- Teaching Experience as an Assistant Professor at Amity University Madhya Pradesh.
- Teaching Experience as Guest Faculty at Jiwaji University, Gwalior.
- Administrative Experience:
- Class Coordinator of Computer Science and Business Systems-B (I Year) from 15/08/2025 to till date.
- Sarthak Application Department Coordinator of Computer Science and Business System.
- Honors, Award & Recognition:
- Served as a Session Chair in 17th IEEE International Conference on Computational Intelligence and Communication Networks (CICN 2025) is organized by NIT Goa in Association with technical sponsor by Bombay section and financial sponsored by MP Section at National Institute of Technology Goa, INDIA from 20-21 December 2025.
- Contributed as a Reviewer in various SCIE, SCOPUS Indexed Journals and in International Conferences from 2022 to till date.
- Granted IEEE and IEANG (lifetime) membership of professional bodies.
- Awarded A-Grade Certification for successfully completed French course during Master of Technology.
- Awarded “Elite” grade certificate for online course ‘Data Analytics’ conducted by NPTEL Online certification with IIT Madras in 2014.
- “A” Grade Certification during technical workshop “EDUSAT-2012” conducted by ISRO, Dehradun, India.
- Designated as Training and Placement Coordinator during Master’s degree in 2012.
- Academic Scholarship received and worked as one-year research intern in DRDO, Delhi during Master of Technology in Computer Science.
- Qualified Graduate Aptitude Test in Engineering exam in 2010.
- Awarded merit of certification during academics in Bachelor of Engineering in 2009.
- Workshop/Conference/Organized/Attended:
- Attended five days online FDP on Artificial Intelligence for Next-Generation HealthCare Systems organized by ABV-IIITM Gwalior from 2nd January 2026 to 6th January 2026.
- Attended two days online workshop on Innovative Technologies for Next Generation Networks (ITNGN-2025) organized by Department of Computer Science, ABV-IIITM Gwalior in collaboration with TIIC-ABV-IIITM Gwalior from November 08-09,2025.
- Attended 2-weeks online Faculty Development Program on Generative AI organized by E & ICT Academy, IIT Kanpur from 05th August 2025 to 16th August 2025.
- Attended a one-week online Faculty Development Program on Reliable Artificial Intelligence Applications for Autonomous Systems jointly organized by ABV-IIITM Gwalior and Electronics & ICT Academy, IIITDM Jabalpur during April 12-18, 2025.
- Attended five days online workshop on Recent Advancements in Artificial Intelligence and Internet of Things (RAAI-2024) organized by NIT Hamirpur during April 8-12, 2024.
- Attended five days online FDP on Current Trends of Natural Language Processing and Deep Learning in Bioinformatics organized by NIT Patna during Octorber 9-13, 2023.
- Organized one-week offline FDP on Innovative Pedagogical Practices at Amity University Madhya Pradesh during June 16-20, 2014.
- Publications:
INTERNATIONAL JOURNALS
- Tejaswita Garg, Sanjay K. Gupta, "A Novel Algorithm for Stacked Generalization Approach to Predict Neurological Disorder over Digital Footprints", International Journal of Modern Education and Computer Science(IJMECS), Vol.15, No.5, pp. 60-73, 2023. DOI:10.5815/ijmecs.2023.05.05 (SCOPUS INDEXED)
- Garg, T. ., & Gupta, S. K. . (2024). Identification of Psychological Resilience over Social Media Using Stacked Ensemble Learning Algorithm . International Journal of Intelligent Systems and Applications in Engineering, 12(18s), 259–272. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4970 (SCOPUS INDEXED)
- Varun Mishra, Tejaswita Garg, "Toxicity Detection Using TextBlob Sentiment Analysis for Location-Centered Tweets", International Journal of Modern Education and Computer Science(IJMECS), Vol.17, No.2, pp. 123-134, 2025. DOI:10.5815/ijmecs.2025.02.06. (SCOPUS INDEXED)
- Mishra V, Garg T. A systematic study on predicting depression using text analytics. J. Fundam. Appl. Sci., 2018, 10(2), 293-307. (ESCI INDEXED)
INTERNATIONAL CONFERENCES
- Garg, Tejaswita, and Sanjay Kumar Gupta. "A Hybrid Stacked Ensemble Technique to Improve Classification Accuracy for Neurological Disorder Detection on Reddit posts." 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2022. (SCOPUS INDEXED)
- Garg, Tejaswita, and Sanjay Kumar Gupta. "Efficient approaches to predict neurological disorder using social networking sites." 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2022. (SCOPUS INDEXED)
- Gupta, Eshan, Tejaswita Garg, and Varun Mishra. "Binary Search Based Optimized Resource Selection in IaaS Cloud." 2015 Fifth International Conference on Communication Systems and Network Technologies. IEEE, 2015. (SCOPUS INDEXED)
- Tejaswita Garg. ‘A Comparative Study of Software Testing Approaches for Traditional and Object Oriented System’ in National Seminar on Advances in Computer Networks, Communication and Security (NSACCS), Feb 2015.
BOOK CHAPTER
- Garg, T., Gupta, S.K. and Mishra V. 2024. The Role of Machine Learning for Predicting Mental Health over Social Media Platforms. In 2024 AI–driven Computational Engineering for Sustainable Development Engineering. Publisher: Bentham Science, UAE, 2024. (SCOPUS INDEXED)
