Air University Kamra Campus

Department Of Computer Science Introduction Head Of Department Message Vision & Mission Faculty Support Staff Programs Offered Eligibility Criteria Scheme of Studies Graduate Attributes (GAs)

Mr. Muhammad Haris

Designation: Lecturer

Department: Department of Computer Science

Campus: Aerospace & Aviation Campus Kamra

Qualification: MS Computer Science

Email: [email protected]

Academic Profile

Full Name	Mr. Muhammad Haris
Designation	Lecturer
Department	Department of Computer Science
Campus	Air University, Aerospace & Aviation Campus Kamra
Highest Qualification	MS Computer Science
Discipline	Computer Science
Official Email	[email protected]

Research Interests

Artificial Intelligence Machine Learning Deep Learning Computer Vision CNN–Transformer Models Ensemble Learning Multi-Task Image Classification Leakage-Safe Evaluation Explainable AI AI-Enabled Web and Mobile Systems

Areas of Specialization

Computer Vision
CNN and Transformer Ensembles
Image Recognition
Task-Wise Fusion
Model Evaluation
AI Application Development

Research Keywords

CNN Vision Transformer (ViT) Swin Transformer ConvNeXt Ensembles Task-Wise Fusion Calibration Leakage Auditing Fruit Freshness Recognition Fruit Type Recognition Explainability

Major Research Achievement & Innovation

LS-5E: Fruit Freshness & Type Recognition

LS-5E is a research prototype designed for fruit freshness and fruit type recognition. The prototype combines five CNN/Transformer experts with task-wise fusion.

The work includes web-based demonstrations developed using PHP/Python technologies and a Flutter mobile application prototype.

The research prototype is under ongoing refinement. It is presented as a research and development outcome, not as a published paper or patented invention.

Five-Expert Model CNN/Transformer Task-Wise Fusion Web Demonstration Flutter Prototype

Research Projects & Development

Project Title	LS-5E: Fruit Freshness & Type Recognition
Role	Researcher / Developer
Status	Research prototype developed; ongoing refinement
Start / Duration	2026; ongoing
Funding	No external sponsor documented
Funding Amount	Not reported
External Partner	No formal external partner documented
Outcome	Five-expert model with web and Flutter demonstrations

Industry Collaboration & Employer Engagement

Systems Limited	Organized student visit focused on enterprise IT practices on 24 February 2026. The engagement is documented as student exposure; no formal research partnership or MoU is claimed.
National Incubation Center (NIC), Islamabad	Organized a student visit focused on entrepreneurship and Final Year Project (FYP) ideation on 16 February 2026. No formal MoU is claimed.
Pakistan Bureau of Statistics / DataFest	Student participation in a data and AI event on 11–12 November 2025.
Air University Projects & Career Expo	Project showcasing and industry interaction on 20 May 2026.
NASTP Kamra	Student internship coordination. The faculty form records 29 completed internships; departmental records should be verified.

Professional Engagement

Academic Responsibilities	FYP and Internship Coordinator; FYP supervision and evaluation; industrial-visit organization.
Innovation Activities	BIC/NIC innovation judging and related event participation, subject to confirmation of event records.
Teaching Areas	Full-stack web development, mobile applications, visual programming and software engineering.
Professional Memberships	Active memberships are yet to be confirmed.
International Networks	International professional network memberships are not documented in the submitted form.
Formal Advisory Roles	Formal advisory-board membership is not documented. FYP evaluation and innovation-event judging are recorded.

Additional Academic Information

In addition to research prototype development, Mr. Muhammad Haris contributes to FYP and internship coordination, student supervision, and industry exposure activities.

The submitted portfolio records student visits and engagement activities involving Systems Limited, NIC Islamabad, DataFest, and the Air University Projects & Career Expo during 2025–2026.

The LS-5E prototype explores fruit freshness and type classification through CNN/Transformer experts and task-wise fusion. The submitted form does not claim a patent, technology transfer, or publication for this prototype.