level-one heading

Why Kolabtree
Getting started is quick and easy. No upfront fees
It’s free to request a service and invite bids from experts
Discuss requirements with the expert in detail before accepting statement of work from Kolabtree
Collaborate with the expert directly to get your work done the right way
Fund project when you hire the expert, but approve the deliverables only once work is done
Want to hire this expert for a project? Request a quote for free.
Profile Details
Create Project
★★★★★
☆☆☆☆☆
USD 70 /hr
Hire Dr. Mohammad S.
India
USD 70 /hr

RESEARCH, PROPOSAL AND THESIS WRITER in the OF ENGINEERING WITH DOCTORATE DEGREE

Profile Summary
Subject Matter Expertise
Services
Writing Technical Writing, Creative Writing, General Proofreading & Editing, Translation
Research Market Research, User Research, Meta-Research, Feasibility Study, Technology Scouting, Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection
Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights
Work Experience

Assisitant Professor

Maulana Azad National Urdu University

June 2014 - Present

ASSISTANT PROFESSOR

Maulana Azad National Urdu University

June 2014 - Present

Education

PhD Computer Science

Panjab University

January 2021 - January 2026

B.TECH (CSE)

IILM Academy of Higher Learning College of Engineering & Technology

July 2006 - June 2009

Certifications
  • Certification details not provided.
Publications
JOURNAL ARTICLE
Mohd Ahsan Siddiqui, Mala Kalra, C. Rama Krishna (2026). Anomaly Detection in IoT Environments Using Machine Learning: A Bibliometric Review, Challenges, and Future Research Directions . Concurrency and Computation: Practice and Experience.
Mohd Ahsan Siddiqui, Mala Kalra, C. Rama Krishna (2024). ADSBAN: Anomaly detection system for body area networks utilizing IoT and machine learning . Concurrency and Computation: Practice and Experience.
PREPRINT
Mohd Siddiqui, Mohd Asifuddola, Mala Kalra, C Rama Krishna, Ab Rouf Khan (2025). Fog Enabled Anomaly Detection System for Sensors’ Anomaly in IoT Environment Using Machine Learning .
BOOK CHAPTER
Mohd Ahsan Siddiqui, C. Rama Krishna, Mala Kalra (2025). Anomaly Detection System for Smart Lighting .