...
Diploma in Artificial Intelligence

A 4 months “Diploma in Artificial Intelligence”, arranged by NUST Professional Development Center (NUST-PDC) Instructors: Assoc Prof Dr. Hammad Afzal (NUST) Asst Prof Khawir Mahmood (NUST) Starting From: June 15, 2022


...
Keynote Speech at Comtech 2021

Keynote Speech on topic of “Machine Learning and its Applications”, organized on 20-21 Sep 2021 at Department of Computer Software Engineering, National University of Sciences and Technology, NUST, Islamabad, Pakistan. (Comtech, 2021) 20-21 Sep 2021


...
Live Charging Animations | Alert

Short Description: Multiple features including attractive charging animations, custom alarms to get alerts, mobile’s battery info and many more. Long Description: Charing Animation and Alerts app is an android app which illustrates multiple fascinating charging animations to be set while charging and gives a cool look to your mobile’s screen. You can avail the service […]


...
Medica360 (Personal Health Assistant)

(Download App Here) Short Description: Information about more than 14000 medicines and their brands; Reminders for Daily Medicines, Doctor’s Appointments and various readings such as Blood Sugar Level, Blood Pressure. Previous History Tracker. Long Description: Medica 360 is a health assistant app developed to facilitate patients as it provides assistance right in your pocket regarding […]


...
Workshop on Deep Learning for NLP

A workshop on “Deep Learning with emphasis on NLP” is organised on 20 Nov 2021 from 9:00 am to 3:00 pm in Operating System Lab of Dept of CSE. 20 Nov 2021


1st PhD Student Graduated

Dr. Sabeen Javaid, a PhD student graduated in Nov, 2019. She successfully cleared her final thesis defense. Thesis Title A Web of Things Architecture focusing on Trust Supervisors: Dr. Hammad Afzal Dr. Fahim Arif Dr. Naima Iltaf Team of Evaluators: Prof Ehab Al-Shaer- Professor and Director of Cyber Defence and Network Assurability (CyberDNA) Research Center, […]


Journal Paper Published

Paper Accepted in Mobile Networks and Applications Anam Mehtab, Waleed Bin Shahid, Muhammad Faisal Amjad, Tehreem Yaqoob, Haider Abbas, Hammad Afzal (2019) AdDroid : Rule based Machine Learning Framework for Android Malware Analysis,  Mobile Networks and Applications; IF: 2.497


Students

PhD Dr. Zara Hamid (Co-Supervisor) Completed Ms. Sabeen Javed (Current) Mr. Zeeshan Anwar (Current) Mr. Sheikh Zeshan Javed (Current) Ms. Naureen Zainab (Current) PG Students (Current Khawir Mehmood Sartaj Aziz Muhammad Hamza Qamar Tayyeba Jehangir Aleena Khan Sania Noor Sajid Hussain PG Students (Completed) Aziya Mehboob (MSCS -22 – 29th May, 2019) Badr un Nisa […]


A-Semi Automatic Decision Support System for Predicting Heart Failure Using Advanced Classification Techniques

Heart failure is considered as one of the major reasons of death worldwide. The amount of deaths from heart failure surpasses the amount of deaths resulting from any other causes. This point makes heart disease as one of the most dangerous disease resulting in human deaths worldwide. Latest studies have concentrated on the usage of […]


Identifying source printers of documents using Image Processing & Machine Learning

Different types of printed documents are used in our day to day activities. Those documents include financial, legal, identity, currency and other types of sensitive documents. Printing has become very convenient and can be done at a low cost and thus makes forging documents quite easy. This has lead to forgery cases to go on […]


Extension Of Semantic Based Urdu Linguistic Resources Using Natural Language Processing Techniques

Urdu is the 8th largest spoken language in the world with more than 140 million speakers in subcontinent. It is national language of Pakistan and official language of six Indian states. Despite its abundant usage, the research work in Urdu language is scarce in terms of electronic linguistic tools and resources such as Named Entity  […]


Sentiment Analysis On Complex Sentences Of Urdu With Negations Using Deep Learning

Natural Language Processing is a growing field of Artificial Intelligence and used for interaction between computers and humans. In NLP, negation is of great importance as it changes the polarity of a sentence. Recognition of Cue and scope during negation detection is an important aspect. Research work has been reported in Negation Detection for English […]


Enhanced Expert Systems for Medical Diagnostic using Data Mining

Machine learning algorithms have great potential for exploring the hidden patterns in the data sets of the medical domain. These patterns can be utilized for clinical diagnosis. Since medical diagnostic decision support systems have become more popular in clinical routine, it is critical to decide the best model to provide reliable machine learning techniques in diagnostic problems. The purpose of my research thesis is […]


Handwriting analysis of offline data for gender prediction

Significant progress has been made in the field of Writer identification and Signature Verification. Handwriting Analysis can be applied for classifying age, gender and nationality. Writer Recognition through handwriting analysis can be divided into two categories: online and off-line. On-line character recognition involves the identification of characters while they are written and deals with time […]


A Semantics Based Bi-Lingual Information Retrieval System To Improve Results Of Search Engines

Advent of pervasive computing (smart phones, note books, tablets, kindles) has made a huge change regarding access to information in developing countries. However, Input devices, specifically keyboards are still mostly English-Based. This has given rise to Romanization of languages and same is the case with Roman Urdu which is commonly used for typing text messages […]


Automatic Filtration of Spams in Multi-lingual Short Messages on Mobile and Social Media

The problem of Spam in SMS (Short Messages) and online social media is growing. Application of machine learning techniques for spam checking is quite an interesting area. Furthermore, the recent popularity of social media such as Twitter and Facebook etc. has made these platforms a major medium of interaction among society and therefore, spams have […]


Crime Forecasting Using Data Mining Techniques

The major challenge faced by Law Enforcement agencies is quickly and efficiently analyzing voluminous amount of data for proper investigation process. Crime affects our society dearly in many different ways and to control such nuisance a system is required that analyze data proficiently, determine hidden patterns in data and perform crime forecasting. Our research makes […]


Spatial-Temporal Political Event Analysis Based On Social Web

This thesis presents an approach towards bilingual sentiment analysis of short messages data retrieved from twitter. Social networks evolved to become one of the most advanced and widespread communication medium of the modern era. They also serve as multi-cultural and multi-lingual information centers. Information analysis of these social networks can help in designing better government […]


Efficient Algorithms for Collective Communication Operation for MPI in Java using MPG Express

Parallel programming is an emerging trend for writing parallel applications for compute clusters with multiple processing cores not only for the scientific community but also for the research students and industry. Message Passing Interface (MPI) has emerged as a de facto standard for writing parallel applications as a programming language independent communication protocol which provides […]


Creating an infrastructure for semantic search of The Holy Quran using English Wordnet

Qur’an, being the highest authoritative source of the Divine knowledge and wisdom has been widely and deeply studied, analyzed, memorized and recited by Muslims as well as non-Muslims in the past centuries.  With the advancement in the Information Technology, a number of Information Retrieval, multimedia and Natural Language Processing (NLP) tools have been developed for […]


A gradient routing protocol for wireless sensor networks with mobile sinks using zone based approach

Low power and lossy networks (LLNs) is an active area of research due to their large number of potential applications in different environments like health, environment monitoring and entertainment domain.  Many protocols are proposed for routing in these networks. IETF has done one major contribution as it has developed  a proactive gradient based routing protocol […]