Mr. Poojan Shah

Assistant Professor
M.E (Computer Engineering), 2021, LD College of Engineering, GTU, Gujarat, India. B.Tech. (Computer Science & Engineering), 2019, Parul University, Gujarat, India.

Mobile Number:– 7359709747, 8141989464

Email – poojan.shah@rru.ac.in

About Mr. Poojan Shah

Mr. Poojan Shah is working as an Assistant Professor in School of Information Technology, Artificial Intelligence & Cyber Security, RRU.

He has earned his post-graduation from LD College of Engineering in Computer Engineering and graduation from Parul University in Computer Science and Engineering. He has expertise in Data Science, DBMS, TOC, Applied Machine Learning, Advanced Web Development, C++.

Mr. Shah’s professional interests lie primarily in the dynamic realms of Artificial Intelligence, Machine Learning, Natural Language Processing, and MERN Stack Development. His teaching philosophy is rooted in the belief that an effective combination of pedagogical methods enhances the learning experience for his students.

Academic Qualification
  • Ph.D. (Computer Engineering) – Pursuing, Pandit Deendayal Energy University (PDEU)
Achievements
  • Qualified GATE 2019 examination with a score of 463
Experience
  • Assistant professor at Gujarat Power Engineering Research Institute (GPERI), Mehsana from October 2022 to September 2023.
  • Assistant professor at Saffrony Institute of Technology, Mehsana from August 2021 to June 2022.
Specialization
  • Machine Learning, Artificial Intelligence, NLP
Certification
  • ML with Python – Coursera
  • Neural Network and Deep Learning- Coursera
  • NLP with probabilistic models – Coursera
  • MATLAB Onramp – MathWorks
  • Javascript Advanced – Cutshort
  • AWS Cloud Foundations
Publication
  • “Evaluating Residual LSTM approach for predicting missing sensor data for IoMT” in International Journal of Next-Generation Computing ,Volume 13, Issue 2, July 2022
Invited Lectures/Special Lectures Delivered
  • Delivered an expert session on “Web 3.0 : Future of Internet” during Motimala – 1 by IQAC at GPERI, Mehsana.
Research Guidance
Under Graduate Supervision
  • Guided a Project at Under Graduate level titled “Online Faculty Feedback Portal“ . This web-application used MERN Stack.
  • Guided a Project at Under Graduate level titled “My Park.AI “.It was developed using YOLO algorithm, dashboard with uploading videos, detecting and counting entry-exit vehicles.
  • Guided a Project at Under Graduate level on “Online Blood Donation Portal” using MEAN Stack.
  • Guided a Project at Under Graduate level titled “Exam Notifier“. It was developed using Web Scraping and provided its users real time notification on WhatsApp regarding important exam updates.