Mr. Haris Siddique is a Lecturer in Software Engineering at Qaiwan International University (QIU), an internationally recognized institution affiliated with Malaysia’s top-ranked Universiti Teknologi Malaysia (UTM). Concurrently, he is pursuing his PhD at Universiti Teknologi PETRONAS (UTP), furthering his research in AI-driven digital transformation for industries.

With a strong academic foundation, Mr. Siddique holds an MS in IT from Universiti Utara Malaysia (UUM), where his thesis, "Gender-Dependent Emotion Detection at Word-Level Using Global Spectral Speech Features", laid the groundwork for his expertise in speech processing and affective computing. His research has been published in peer-reviewed venues. 

Teaching & Leadership

As an educator, Mr. Siddique has years of experience at UTP, where he facilitated courses in Machine Learning, Deep Learning, Human-Computer Interaction (HCI), and Data Structures. At QIU, he leads lectures and labs for undergraduate programs, specializing in Software Development & Architecture, Cloud Computing Applications, Real-Time Software Engineering, Artificial Intelligence.

Research Expertise

His interdisciplinary research spans:

• Speech & Emotion Recognition (ML/DL models for affective computing).

• Industry 4.0 Adoption (Digitalization frameworks for SMEs, smart supply chains).

• Industrial IoT & Smart Factories.

Technical Proficiency

• Programming: Python, C/C++, Java, C#, Prolog, R.

• AI/ML Tools: TensorFlow, Keras, PyTorch, MATLAB, Weka.

• Analytics: SmartPLS, SEM techniques.

Mission

Mr. Siddique is passionate about bridging academia and industry, empowering SMEs to embrace Industry 4.0 through scalable digital solutions. He mentors students in cutting-edge technologies while advancing research in AI-driven industrial transformation.