Dr. Furqan Alam
Assistant Professor  ·  AI & Data Science

Dr. Furqan Alam,
researcher & educator.

Committed to fostering shared growth and advancements at the intersection of Data Science, Machine Learning, and Artificial Intelligence.

Affiliation
FCIT
Sohar University
Experience
0.0+ Years
Academic & Industry
Location
Sohar
Oman
Links
Google Scholar
ResearchGate
§ 01

A brief account.

I am an Assistant Professor at the Faculty of Computing and Information Technology (FCIT) at Sohar University, Oman. My research investigates Data Science, Machine Learning, and AI, with practical implementations in image analysis, autonomous driving, smart cities, and healthcare.

I earned my Ph.D. and M.Sc. in Computer Science from King Abdulaziz University (QS Top 106), where I collaborated with top researchers and received the Best Student Award. I have also gained significant industry experience as a Tech Lead and Data Science Program Manager, bridging the gap between academia and real-world applications.

With over 1,450 citations across 18 publications and involvement in 7 internationally-funded projects, I am actively co-supervising a Ph.D. student at the University of Newcastle and have successfully guided multiple M.Sc. graduates from Liverpool John Moores University.

§ 02

Professional experience.

Sept 2023 - PresentOman

Assistant Professor, FCIT

Sohar University
Nov 2022 - June 2023Singapore

Tech Lead, Data Science

MAGES Institute of Excellence Pte. Ltd.
Sept 2021 - Oct 2022Bangalore, India

Program Manager, Data Science Department

SkilloVilla Pvt. Ltd.
Mar 2020 - Aug 2021Jaipur, India

Assistant Professor, Amity Institute of Information Technology

Amity University
Jul 2019 - Feb 2020Jaipur, India

Assistant Professor, Department of Computer Engineering

Poornima University
Nov 2011 - Nov 2012Bhopal, India

SAP, ABAP Technical Consultant

Bhaskar Industries Ltd.
Aug 2010 - Oct 2011Bangalore, India

SAP, ABAP Technical Consultant

DSS IT Solutions
§ 03

Research interests.

i.
Smart Healthcare
AI-enabled COVID-19 applications, neuroevolutionary methods for Human Activity Recognition (HAR), and health monitoring systems.
ii.
Autonomous Driving
Decision fusion, feature-specific road detection, and object classification using deep learning and decision trees.
iii.
IoT & Smart Cities
Machine learning-enabled Internet of Things frameworks, data fusion, and ubiquitous environments for smart societies.
iv.
Deep Learning & Vision
Image classification, segmentation, and activity recognition applied across diverse multidisciplinary domains.
§ 04

Selected publications.

2024IEEE Access

NeuroHAR: A Neuroevolutionary Method for Human Activity Recognition (HAR) for Health Monitoring

Alam, F., Katib, I., Mehmood, R., & Albeshri, A.
IEEE Access.
doi
2024Cognitive Robotics

High-Fidelity Learning-based Motion Cueing Algorithm by Bypassing Worst-Case Scenario-based Tuning Technique

Chalak Qazani, M. R., Asadi, H., Najdovski, Z., Alsanwy, S., Zakarya, M., Alam, F., et al.
Cognitive Robotics.
doi
2022Electronics

Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective

Bzai, J., Alam, F., Dhafer, A., Bojović, M., Altowaijri, S. M., Niazi, I. K., & Mehmood, R.
Electronics, 11(17), 2676.
doi
2021Sustainability

iResponse: An AI and IoT-Enabled Framework for Autonomous COVID-19 Pandemic Management

Alam, F., Almaghthawi, A., Katib, I., Albeshri, A., & Mehmood, R.
Sustainability, 13(7), 3797.
doi
2020Springer

Comparison of Decision Trees and Deep Learning for Object Classification in Autonomous Driving

Alam, F., Mehmood, R., & Katib, I.
Smart Infrastructure and Applications (pp. 135-158).
doi
§ 05

Public lectures & media.

Conference · Invited Talk

Data Analytics for Internet of Things

Tutorial and deep-dive into IoT analytics frameworks originally delivered at the High Performance Computing Conference Saudi Arabia.

Workshop · Guest Lecture

Accelerating Deep Learning in Smart Cities

An overview of utilizing AI frameworks for smart city infrastructure, autonomous driving, and sustainable management.

§ 06

In the classroom.

Data Sci
Recent
Data Science & Machine Learning Bootcamp
AI
Recent
Artificial Intelligence & Deep Learning
IoT
Recent
Internet of Things (IoT) & Smart Systems
Web Tech
Recent
Web Technologies (HTML, Java, Python)
§ 07

Student supervision.

PhD CandidateUniversity of Newcastle (Co-Supervisor)
MS Graduate (6 Students)Liverpool John Moores University, UK