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Neat Desk
Circuit Board

Mr. Shekhar Tyagi

Assistant Professor

College Topper in M.Tech and Second Rank Holder in B.Tech; Recipient of College-Level Merit Scholarship in Both M.Tech and B.Tech.

Honored with the Best Faculty Award in the year 2020

Taught various undergraduate courses to B.Tech students, including Programming in C, Operating Systems, Ubiquitous Computing, IoT security, Algorithms, and Machine Learning. Additionally, designed, delivered, and evaluated assignments and examinations for graduate-level courses

Books

Education

Ph.D. in Computer Science and Engineering

Indian Institute of Technology Indore

Thesis Title: Edge-Assisted Optimization of IoT Sensor Deployment in Challenging Terrains

Advisor: Prof. Abhishek Srivastava

M.Tech. in Computer Science and Engineering

Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh

Year of Completion: 2015

B.Tech. in Computer Science and Engineering

Gautam Buddh Technical University, Uttar Pradesh (Now known as Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh)

Year of Completion: 2012

Business Planning
Experience

Experience

Assistant Professor

Dronacharya Group of Institutions, Greater Noida

July 2025– Present

Teaching Assistant

Indian Institute of Technology Indore, Indore

July 2022– April 2025

Assistant Professor

IIMT College of Engineering, Gautam Buddh Nagar, Uttar Pradesh

August 2017 to July 2022

Assistant Professor

Sunderdeep Engineering College, Ghaziabad, Uttar Pradesh

January 2017 to July 2017

Assistant Professor

KNGD Modi Engineering College, Ghaziabad, Uttar Pradesh

October 2015 to January 2017

Assistant Professor

Bhagwati Institute of Technology and Science, Ghaziabad, Uttar Pradesh

July 2015 to October 2015

Lecturer

Bhagwati Institute of Technology and Science, Ghaziabad, Uttar Pradesh

July 2012 to July 2013

Patents

  1. Systems and Methods for Artificial Intelligence Enabled Metal 3D Printing, Application No: 202011054553, January 2021, Status: Published

  2. System and Method for Non-Invasive Fetal Brain Monitoring, Application No: 202111017149A, April 2021, Status: Published

Skills and Tools

  1. Languages- C, C++, PHP, Python

  2. Applications and Tools- QUICKGRID

Certifications

  1. Advanced Machine Learning with Applied AI - Successfully completed the certification in Advanced Machine Learning offered by the Applied AI course. | September 2020- August 2021

  2. Quantum Computing - Successfully completed the certification in Quantum Computing, offered jointly by IIT Roorkee and CDAC Hyderabad. | May 2023

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