Muhammad Adnan T. Profile

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$10 USD / hour

islamabad,

pakistan

$10 USD / hour

It's currently 1:32 AM here

Joined October 17, 2023

0 Recommendations

Muhammad Adnan T.

@AdnanTar1q

0.0

(0 reviews)

0.0

$10 USD / hour

islamabad,

pakistan

$10 USD / hour

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PhD in Blockchain | Full Stack | AR/VR | Metaverse

Looking for a top-tier AI/Blockchain Expert with 18+ Years of Experience? With a PhD and Postdoc from the renowned University of Stuttgart, Germany, I bring exceptional skills in AI, Data Science/Machine Learning & Blockchain . Let's take your Project to the next level.

See all Javascript Developers in Pakistan

Contact Muhammad Adnan T. about your job

Portfolio

Project description
Some of the specifications and functionalities of Project are as follow:

-Industry: Healthcare
-Assist patients in diagnosis using cognition
-Enable patients to search and book healthcare services in vicinity
-Easy access to healthcare professionals using live chat

FinDoc-Medical Diagnosis EHR

Project description
Some of the Key Features of this Project:

-Industry: E-commerce, Education
-Enable employees to create online resume, upload promotional videos and search jobs.
-Assist employers to post jobs, review candidate resumes and conduct interviews.
-Recommends jobs and candidates using machine learning.
-Provides marketplace for educational trainings and freelancing activities.
-Integration with payment gateways and social networks.

EduJobs - Marketplace for Educators

Project description
Some of the Key features of the Project:

-Industry: Public Sector, E-commerce
-Service Center Management
-Smart queueing system to replace kiosk at service centers
-Ticket life cycle management with estimation and prediction of waiting times
-Application suite to connect services, branch admins, counters, agents, customers

QMS - Queue Management System

Project description
Some of the Key features are:

Industry: E-commerce, Marketing
-Enable Influencers to manager their portfolio.
-Assist brands to post marketing jobs and hire influencers.
-Provides escrow service to manage payment transactions between brands and influencers.
-Comprehensive admin dashboard with detailed web analytics.

BrandFluence - Marketplace for Influencer

Project description
Some of the Key features of Projects:

-Industry: FinTech
-Custom-developed content management system (CMS)
-Dynamic handling of news categories and menus
-Elastic search on news and stock quotes
-Integration with the capital markets and streaming services

FiNews - Platform for financial market news

Project description
Few of the Key points of the Project

-Industry: Entertainment
-Manage seasons and episodes
-Provides merchandise store with shopping cart and purchase history
-Build scalable streaming service for video on demand
-Integration with payment gateways

RealTV - Video on Demand Streaming

FinDoc-Medical Diagnosis EHR

EduJobs - Marketplace for Educators

QMS - Queue Management System

BrandFluence - Marketplace for Influencer

FiNews - Platform for financial market news

RealTV - Video on Demand Streaming

Reviews

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Experience

ChainGPT

Jan 2023 - Present

An advanced AI model designed for Blockchain & Crypto.

XHumanity

Jan 2021 - Present

https://xhumanity.org/

Funavry Technologies

Jan 2018 - Present

Funavry is a cutting-edge technology company that offers a complete portfolio of IT solutions and global business services. Led by highly diversified team of veterans with years of global experience in digital transformation, AI driven hyper automation, technology development, product design, and leadership, Funavry is uniquely positioned to provide what our clients need – complex IT solutions to address their requirements, delivered reliably on time, with excellent value for money.

Education

PhD in Computer Science

Universität Stuttgart,

Germany

2009 - 2013

(4 years)

Masters in Software Systems Engineering

Rheinisch-Westfälische Technische Hochschule Aachen,

Germany

2004 - 2006

(2 years)

Publications

Exploring the Search Space Between Active and Passive Workflow Replication.

IEEE

Best paper award

Preserving privacy and quality of service in complex event processing through event reordering

ACM

Best paper award

Securing Broker-Less Publish/Subscribe Systems Using Identity-Based Encryption

IEEE

Transactions on Parallel and Distributed Systems. [Acceptance rate: 16%]

GrapH: Heterogeneity-Aware Graph Computation with Adaptive Partitioning

IEEE

Proceedings of 36th International Conference on Distributed Computing Systems (ICDCS). [Acceptance rate: 17.6%]

Adwise: Adaptive window-based streaming edge partitioning for high-speed graph processing

IEEE

In recent years, the graph partitioning problem gained importance as a mandatory preprocessing step for several data science problems. We have developed ADWISE, a novel window-based streaming partitioning algorithm that increases the partitioning quality thereby decreasing the processing time of several data science algorithms.

Feature engineering and deep learning-based intrusion detection framework for securing edge IoT

Springer

Devices belonging to the IoT are becoming highly susceptible to intrusion attacks. We developed a system for detecting intrusions in IoT traffic. The system consists of two main phases: In the 1st phase, it comparatively selects best features from the feature matrix using SpiderMonkey, principle component analysis, information gain , and correlation attribute evaluation . In the 2nd phase, these features along with assigned labels are used to train deep neural network for intrusion detection.

GraphCEP - Real-time Data Analytics Using Parallel Complex Event and Graph Processing

ACM

[-] Grand challenge award for the best performing and correct submission [-] Grand challenge audience award

A decentralized lightweight blockchain-based authentication mechanism for IoT systems.

Springer

The Internet of Things (IoT) is an emerging paradigm branded by heterogeneous technologies composed of smart ubiquitous objects that are seamlessly connected to Internet. These objects are often deployed in open environments to provide innovative services in various application domains e.g. smart cities, smart health, & smart communities. An authentication and access control mechanism is proposed for lightweight IoT devices. The mechanism is based on the technology of fog computing & blockchain.