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 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
Dr. Asim Dilawar Bakhshi is working as Head of Department at CSE Dept, MCS, NUST
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 […]
(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 […]
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
We have applied BERT with model reinforcement over the dataset to detect Hate and Offensive Language
With three severity levels (DF, DHF, DSS) and four serotypes (DENV1, DENV2, DENV3 and DENV4) the virus is a nightmare for healthcare professionals and administrators. Classification of dengue fever using different ML and DL algorithms is considered for initial prediction of patients using early clinical and laboratory indicators.
This research is focused on data gathering and creation of dataset from Reddit posts. Feature extraction and machine learning algorithms implementation for the classification of our dataset into the bug report, feature related and other categories.
Missing Values Imputation & Classification Using Stream Mining Algorithms in Internet of Things (IoT)
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, […]
A Model for Entity and Relation Extraction from Biomedical Text
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
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 […]
Embedding Part of Speech Information in word2vec for Text Classification ….
Detection of Hate Speech Against Different Groups on Social Media
Imrprovised Hybrid Collaborative Filtering Recommender System Funding: NUST 0.05M PKR
Design and implementation of a framework to aggregate feedbacks about consumer products from social media …. Funding: NUST: 0.05M PKR
Analyzing the bias in public opinion and media reports for events in different geographical regions …
Data mining is extraction of hidden, useful and precious data from large and high dimensional databases. This field is gaining significant recognition, particularly in medical domain, due to the availability of large amount of data, easily collected and stored via computer systems. Lung cancer patients undergo thoracic surgery which is a highly risky procedure. The […]
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 […]
It won’t be an overstatement to say that, an internet service has become a commodity, a part and requirement of every household. This omnipresence of the internet has brought about major shifts in our lifelong ways, that is, we have a total new way of socializing; a disruptive educational model; paperless workspaces; branchless banks, just […]
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 […]
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 […]
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 […]
The prediction of movies popularity is challenging problem. Movies prediction is a hot topic for movie makers, producers, directors, production houses and also there is a large amount of data related to the movies is available over the internet, because of that much data available, it is an interesting data mining topic. Every viewer, producer, […]
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 […]
Retaining customers is an important challenge for the telecom industry in this day and age. The changing behavior of the users and the type of services being offered every day makes it difficult to predict the churners. Thus the service providers find it more convincing to retain an ongoing customer rather than running after new […]
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 […]
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 […]
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 […]
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 […]
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 […]
Analytic business applications are the trend defining applications that define the worth of data at a particular time. For any business organization it is important to keep record and log every day business activities, strategies and the reasons behind a decision. These may be the ingredient to a wiser business decision in future. In traditional […]
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 […]
Data integration is a known technique to provide uniform view on sets of heterogeneous data sources. It not only provides better analysis of data but also facilitates users to query without any knowledge on the heterogeneous data sources. With the advent of Service Oriented Architecture and Cloud Computing it is possible for users to access […]
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 […]
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 […]
