Dr Shiv Kumar Verma

About

Dr. Shiv Kumar Verma is a distinguished academician and administrator with over 23 years of experience in the field of Computer Science Engineering and Applications. He holds both a PhD and a Masters degree in Computer Science from one of Indias leading institutions, Indian Institute of Technology (IIT) Roorkee,.
Dr. Verma is known for his student-centric approach, developing and implementing policies and programs that enhance learning experiences and outcomes. He actively engages with the tech industry to incorporate relevant skills into the curriculum and facilitates student internships, placements, and collaborative projects with leading tech companies.
With a strong vision for academic excellence, innovation, and interdisciplinary collaboration, Dr. Shiv Kumar Verma continues to make significant contributions to the field of Computer Science Engineering and applications inspiring students and colleagues alike to strive for higher standards and continuous improvement.
 

Experience

23

Qualification

• PhD (IITR)
• MCA(IITR)
• M.Sc. (Mathematics)

Award & Recognition

• SMIEE
• ACM
• IAENG

Research

1.    “An Acyclic Graph-Based Framework for Assessing Vulnerability and Risk in the Internet of Things”, International Journal of Computer Communication, ISSN 0140-3664, ScienceDirect, SCI, In Review, 12th Feb, 2024
2.    " Intelligent Traffic Management for Sustainable Urban Mobility: A Computer Vision and Machine Learning Approach". Cluster Computing, Springer, SCI, ISSN 1386-7857, Communicated, 25th Feb, 2024
3.    "Integrative Framework for Smart Road Safety: Unifying Convolutional Recurrent Neural Network-Based Traffic Accident Modeling and Prediction with Intelligent Traffic Identification System Using Convolutional Neural Networks”, Cluster Computing, Springer, SCI, ISSN 1386-7857, Communicated 25th Feb 2024

Patents

1.    Real-Time Cleanliness Status Monitoring System for Public Toilets, No: 
1957/DEL/2015, Indian Patent Office Journal Dated 30/12/2016 Page No.495, 2021-22 
2.    “IoT-based Crawler System”, German Patent number 202022102517, IPC 16L 55/28
 

Certifications

1.    AI for Good
2.    Social Media Marketing in Practice
3.    Image Processing or Engineering and Science
4.    AI and Climate Change
5.    Breast Cancer Prediction using Machine Learning 
6.    AI for Disaster Management
7.    Computer Vision-Image Basics with OPEN CV and Python
8.    AI and Public Health
9.    Introduction to Computer Vision
10.    Machine Learning: Regression 
11.    Machine Learning for computer vision
12.    Automating Image Processing 
13.    Object Tacking and motion detection with computer vision
14.    Introduction to sentiment analysis in R with quanteda
 

Area of Interest

1. Medical Imaging
2. Computer Vision
3. Machine Learning
4. Discrete Mathematics
5. Optimization Techniques