Master’s in Computer Engineering — Parul University
Nov 2020 – Apr 2022 | CGPA: 8.32
Focus Areas: Machine Learning, Data Analytics, Deep Learning
Relevant Work: Wind Nowcasting using Conv-LSTM (Deep Learning-based prediction model)
B.Tech in Computer Science Engineering — Parul University
Jun 2016 – Jun 2020 | CGPA: 7.53
Relevant Work: Smart Automatic Song Playlist Generation using Facial Expression (Published)
- Spatiotemporal Deep Learning & Forecasting (ConvLSTM, sequence modeling for environmental data)
- Computer Vision & Affective Computing (emotion recognition, multimodal interaction systems)
- MLOps & Scalable AI Systems (deployment, monitoring, and robustness of ML pipelines)
- Applied Machine Learning for Intelligent Systems (real-world, data-driven applications)
- Secure and Robust Machine Learning (adversarial robustness, data integrity, and reliability in ML models)
- Teckchandani, H. “Smart Automatic Song Playlist Generation Using Facial Expression.” Presented at Conference, Parul University, 2020.
- Teckchandani, H. “Nowcasting of Wind Data Using ConvLSTM.” Manuscript under preparation / submission in progress.
- Assistant Professor at GSFC University, Vadodara, Gujarat, India since March 2026.
- Teaching Assistant at Gati Shakti Vishwavidyalaya, Vadodara, Gujarat, India from February 2025 to March 2026.
- IELTS Trainer at Kanan International from February 2024 to August 2024.
- Assistant Professor at Parul University, Vadodara, Gujarat, India from November 2020 to November 2022.
IEEE Student Chapter In-Charge at GSFC University, leading the establishment and activities of the chapter in collaboration with two faculty members.
Portfolio: https://harshteckchandani-1.onrender.com/
- Best Research Paper Award — Parul University International Conference on Engineering & Technology (PiCET-2022)
Awarded for the paper “Nowcasting of Wind Data Using ConvLSTM”, co-authored with Dr. Amit Barve and Prof. Ankit Chauhan.
- Certificate of Presentation — Parul University International Conference on Engineering & Technology (PiCET-2022)
Presented research work on “Nowcasting of Wind Data Using ConvLSTM”.