University of Engineering and Technology, Taxila


UET Taxila


UBIQUITOUS COMPUTING RESEARCH GROUP

This research group investigates real life design and implementation problems of Ubiquitous and Pervasive computing scenarios, Recommender Systems and Brain Computer Interface. Major goal is the development of novel technological innovation that appears in everyday devices with embedded power of computation, advance sensing and communication. It also focuses on efficient signal processing and classification algorithms of biomedical signals and images.


Key Research Themes

  • Internet of things
  • Information Centric Networking
  • Behaviour and Activity Recognition
  • 5G Networks
  • Device to Device Communication
  • Interaction Design and Modelling
  • Embedded, Context-aware, Ambient Intelligence and Wearable Systems
  • Recommender Systems
  • Brain to Machine Communication
  • Image Processing


Researh Group Members

Academic Staff

  • Dr. Muhammad Awais Azam
  • Dr. Mustansar Ali Ghazanfar
  • Dr. Syed Muhammad Anwar
  • Dr. Muhammad Nadeem Majeed
  • Dr. Ali Javed

Research Students

Ph.D. Research Students

  • Sobia Arshad
  • Romana Farhan
  • Tasawer Khan
  • Noshina Shamir
  • Asim Raheel
  • Lubna Nadeem
  • Sadia Azam
  • M. Ehatisham ul Haq

M.Sc./B.Sc. Research Students

  • Engr.Babar Shehzad (14F-MS-CP) (Full Time Student)
  • Engr.Aeman Shehzadi (15F-MS-CP-03) (Full Time Student)
  • Saira Bano ( 11-CP-164) (Full Time Student)
  • Urooj Qureshi (11-CP-111) (Full Time Student)
  • Faisal Hussain (Full Time Student)
  • Abdul Hannan (Full Time Student)
  • Yusra Asim (Full Time Student)
  • Marium Khan (Full Time Student)
  • Anmol Shoukat (14-CP-07)
  • Farwa Batool (14-CP-39)
  • Zainab Khan (14-CP-53)
  • Azka Ghaffar (14-CP-28)
  • Iqra Arshad (14-Cp-80)
  • Kainat Ibrar (14-Cp-01)
  • Afifa Zafar (14-CP-05)
  • Danai Batool (14-CP-33)
  • Ayesha Hanif ( 14-Cp-86)
  • Zubia Zafar (14-Cp-20)

Research Projects

  • Internet of Things (IoT)

Internet of Things is a recent novel communication paradigm, provides interconnection of everyday life objects at, anyplace, anything and anyone, for the exchange of information and the communicate with each other and with the user, that aim to expanding the present Internet to real world objects. IoT is a new revolution of the Internet. It means a semantic network of interconnected objects that are unique, addressable, tractable, and manageable and with standard communication protocols. The Research Group's current focus is to explore the network model for Internet of Things. This involves mathematical and Stochastic Modeling.

  • Information Centric Networking (ICN)

Current Internet was designed for host to host Communication. But now the purpose and use of Internet is not confined to Host to Host Communication. Internet is being used for information dissemination, where IP is not suitable. Moreover Internet Users are interested in named data rather than location of information. Information Centric Networking aims to provide the basis for future Internet. Our current research focus is to explore ICN and find its applicability to Internet of Things.

  • Extensible Access Control Framework for Cloud Base Application

This project focuses on design and development of an extensible access control framework for applications hosted on Software-as-a-Service (SaaS) layer of Cloud. The main goal of this project is to provide Access Control in a flexible manner, according to the security needs of Cloud consumers.

  • Smart Advertisement

This project is for a shopping mall to advertise its offers through smart phones. Customers can query the latest offers according to their interests and get product details according to category, brand, price range before coming for shopping which will help them in decision making. Our system consists of Web API connected to SQL Server. It will contain information about products, offers, shops etc. Merchant will post updates to Web service and customer will get notifications from that Web service.

  • Real Time Transmission of ECG Signals through ZigBee

This project aims to design and implement a real time analysis of ECG signal for people to check whether heart muscle is damaged or not. The system consists of sensor nodes which have ECG analysis function. It measures the ECG signal but due to small size of signal it needs to be amplified in order to be better interpreted. Signal is then filtered to remove different kinds of internal and external noise. Sensor's output is then fed to microcontroller and then wirelessly transmitted through ZigBee.

  • An Intelligent Doctor Recommender System

This research focuses on finding those people in slum areas of the country who are voluntarily willing to provide their services to the poor people as instructors or space providers. The key idea is to search and recommend most suitable space providers to instructors on the basis of his/her preferred level of education (Primary, Middle, and Secondary), location and availability.

  • Recommender System for Community Based Free Education

This research focuses on finding those people in slum areas of the country who are voluntarily willing to provide their services to the poor people as instructors or space providers. The key idea is to search and recommend most suitable space providers to instructors on the basis of his/her preferred level of education (Primary, Middle, and Secondary), location and availability.

  • Brain to Machine Communication for handicapped people

Machines play a vital role in a human's life and are being used in almost every part of the daily routine. Handicapped people find it hard to fulfil their daily needs without being assisted by machines. The proposed solution is intended to enable handicapped people to control and perform basic operations on a computer with their brain.

  • Smart Phone based Human Breath Analysis from Respiratory Sounds

Human breath analysis plays important role for diagnosis and management of pulmonary diseases to grantee normal health. Critical task is to distinguish normal and abnormal lung sounds. This research work presents a scheme for breath analysis used to detect irregular patterns occurred in respiratory cycles due to respiratory diseases.

  • Authentication of Smartphone Users based on Activity Recognition and Mobile Sensing

Smartphones are context aware devices that generate a lot of personal data, such as bank account details. A traditional method to protect this type of data is to authenticate users with mechanisms such as passwords and fingerprint recognition. However, these techniques are vulnerable due to many factors such as user compliance and smudge attacks. The work in this project addresses this challenge by proposing a novel authentication framework, which is based on recognizing the behavioral traits of a smartphone user using the internal sensors of smartphone such as Accelerometer, Gyroscope and Magnetometer.

  • Activity-Aware Fall Detection and Recognition based on Wearable Sensors

Falling is a serious hazard among the elderly people. Fall treatment is considered to be one of the most costly treatments, which usually prolongs to a large time. One bad fall can cause severe injuries that may lead to permanent disability or even death. Therefore, an efficient and cost-effective fall monitoring system is very indispensable. With the advancement in technology, wearable sensors and systems provide a lucrative way to continuously monitor the elderly people for detecting any fall incident that may occur. Most of these wearable fall monitoring systems focus only on detecting a fall incident. However, to avoid the risk of any future fall, it is important to be aware of the cause of a fall incident also. To address this challenge, a wearable sensor-based continuous fall monitoring system is proposed that is capable to detect a fall and identify the falling pattern and the activity associated with the fall incident.

  • NDN IoT Based Fire Management System for Smart Campus

Machine to Machine (M2M) communication in IoT domain require more flexibility reliability and robustness during disastrous situation. There are various fire detection IoT based android applications, most of them are not reliable in disastrous scenarios. We need a robust, fast, reliable and efficient communication during disastrous situation. So, we need a NDN based fire management android application that send and receive interest and data packets based on content name in ICN architecture. NDN architecture has numerous advantages over traditional IP architecture. The current IP based infrastructure has been designed for fixed number of static nodes only whereas NDN architecture has the flexibility to accommodate dynamic nodes more efficiently. There is no caching mechanism in traditional IP architecture, which is the major drawback over ICN (NDN) based communication.

  • IoT based Smart Refrigerator

Smart Refrigerator, which is a typical IoT, is expected to make our life more convenient and comfortable by managing the kitchen more efficiently. By developing it, we can use Liquid Crystal Display (LCD) on its door to view different items and their quantity inside it. It will notify the user about deficiency and expiration of food items. It will improve efficiency of the refrigerator. We can place online order of deficient products based on the automatic list generated by smart refrigerator. We can see the internal and external temperature of the refrigerator and analyze its working. Moreover, the remote access of the refrigerator from anywhere gives ease to the user.

  • Driver Behaviour Monitoring System

A Driver Behavior Monitoring System enables continues measurement and data collection of driver's behavior. The main goal of this system is to develop a driver's behavior framework defined in safety terms that will identify driver's behavior characteristics and the risk of vehicle accident involvement. Monitoring the behavior of the driver is one of the ways to prevent the fatal accidents. So, Driver behavior, or driving style, is an aspect we need to monitor as part of risk assessment and to cut costs and emissions within our fleet. It not only monitors the driving style of the driver but also allows fleet managers to get alerts and reports on dangerous driving events (speeding, harsh braking and rapid acceleration). Project targets the development of complete system using smart computing device like Arduino and GPS. To detect driving behavior, GPS is used which measures acceleration and harsh braking. To prevent the unauthorized use of vehicle used authentication mechanism is used. We can use this system to reward the good driving behavior and punish the bad behavior because reward leads to enhancement of learning in human nature.

  • Identifying User Activities for Smart Phone Access and Control Using Wearable Smart Sensors

With the advancement in information technology, smart phones have become ubiquitous and context-aware devices. Smart sensing devices provide the opportunity to track dynamic information about different environmental impacts and develop understanding of human activities and their interactions. Smart sensors may collectively enable new applications across a wide variety of domains including data and information security, authentication and access control. To protect sensitive data stored on smartphones and mobile devices, we can identify users by sensing their activities using motion sensors such as Accelerometer, Gyroscope and Magnetometer. The aim of this project is to provide smart access and control mechanisms using wearable smart sensors by synchronizing real-time data with smartphones.

  • Hierarchical and flat based Hybrid Naming Scheme for the Internet of Things

In recent years, naming the memory-constrained IoT devices instead of IP-addresses has become an active area of research. Information-Centric Networking (ICN) models present different naming schemes for efficient accessibility and control of these devices. In this project, we propose a hybrid-naming scheme, which has hierarchical and flat components enabling identification of routing information consistently and providing advantages like high aggregation, high scalability, etc. In contrast to existing CCNx protocol, which has only broadcast mode of transmission has the limitation of communication loop, two transmission modes such as broadcast and unicast are implemented to decrease the rate of Interest transmissions, enhance the reliability of packet delivery and overcome communication loop problem. A hybrid reference model, where mobile nodes are used to ease the exchange of Interest and Data packets among static nodes at different places, is also presented for simulating and evaluating the efficiency of proposed naming scheme.

  • Collaborations

  • East London University London UK
  • Queen Mary University London UK
  • Middlesex University London UK
  • Michigan State University USA
  • COMSATS Abbottabad Pakistan
  • Queens University Canada
  • Bahria University Pakistan
  • SEECS NUST Pakistan
  • PMAS Arid Agriculture University Pakistan
  • University of Kohat Pakistan
  • University of Sheffield UK

  • Publications

2018
  • Ehatisham ul haq, Muhammad Awais Azam, Usman Naeem, Yasar Amin, Jonathan Loo, "Continuous Authentication of Smartphone users based on Activity Pattern Recognition Using Passive Mobile Sensing", Journal of Network and Computer Applications, Accepted on 27-02-2018
  • Sobia Arshad, Muhammad Awais Azam, Mubashir Rehmani, Jonathan Loo (2017), Information-Centric Networking based Caching and Naming Schemes for Internet of Things: A survey and Future Research Directions, IEEE Communication Surveys & Tutorials, Vol Pages(s) (Accepted)
  • Sobia Arshad, Babar Shahzad, M. Awais Azam, Jonathan Loo, Syed Ahmed, Saleem Aslam, IoT-2481-2017.R1 Hierarchical and Flat based Hybrid Naming Scheme in Content-Centric Networks of Things, IEEE Internet of Things Journal, Accepted (04-01-2018)
  • Isibor IHIANLE, Syed Islam, Usman Naeem, Saeed Sharif, Muhammad Awais Azam, Amin Karami, "Intelligent Recognition of Activities of Daily Living from Patterns of Object Use" at the IEEE Technically Sponsored Intelligent Systems Conference (IntelliSys) 2018, to be held from 6-7 September 2018, London, United Kingdom.
  • Rida Ghafoor, Mustansar Ali, M. Awais Azam, Usman Naeem, Shafiq Urrehman, "A Performance Comparison of Machine Learning Classification Approaches for Robust Activity of Daily Living Recognition", Artificial Intelligence Review Journal, Accepted 05-01-2018
  • Syed Islam, Kingsley Okoye, Usman Naeem, Saeed Sharif, Muhammad Awais Azam, Amin Karami, "The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain", at the IEEE Technically Sponsored Intelligent Systems Conference (IntelliSys) 2018, to be held from 6-7 September 2018, London, United Kingdom.
  • A low profile miniature RFID tag antenna dedicated to IoT applications," by Bilal Aslam, Muhammad Kashif, Muhammad Awais Azam, Yasar Amin, Jonathan Loo and Hannu A. Tenhunen, International Journal of Antennas and propagation, submitted
2017
  • Mustandar Ali Ghazanfar, Saad Ali Alahmari, Yasmeen Fahad Aldhafiri, Anam Mustaqeem, Muazzam Maqsood, Muhammad Awais Azam, "Using Machine Learning Classifiers to Predict Stock Exchange Index", International Journal of Machine Learning and Computing, Vol. 7, No. 2, April 2017.
  • Mustansar Ali Ghazanfar, Hina Iqbal, Naif Aljohani, Sandor Szedmak, Muhammad Awais Azam, "Building Scalable and Accurate Hybrid Kernel Mapping Recommender System", Proceedings of Intelligent Systems Conference 2017, 7-8 September 2017, London, UK.
  • Usman Naeem, Syed Islam, Mhd Saeed Sharif, Sergey Sudakov, Muhammad Awais Azam, "Taskification: Gamification of Tasks", Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing, (UbiComp 2017), Maui, Hawaii-September 11-15, 2017, Page(s) 631-634.
  • M. Ehatisham-ul-Haq, Muhammad Awais Azam, Usman Naeem, Shafiq ur Rehamn, Asra Khalid, "Identifying Smartphone users based on their Activity Patterns via Mobile Sensing", The 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017), Volume 113, Page(s) 202-209, 18-20 September 2017, Lund, Sweden.
  • M. Ehatisham-ul-Haq, M. Awais Azam, Usman Naeem, Yasar Amin, Jonathan Loo, "Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing", Sensors-Open Access Journal, Volume 17, Issue 9, 2043, doi: 10.3390/s17092043, IF 2.677.
  • Saima Nazir, Mustansar Ali Ghazanfar, Naif Radi Aljohani, M. Awais Azam, Jalal S. Alowibdi, "Data Analysis to Uncover Intruder Attacks using Data Mining Techniques", 5th International Conference on Information and Communication Technology, Malacca, Malaysia 17-19 May, 2017.
  • Christian Meurisch, Usman Naeem, Philipp M. Scholl, M. Awais Azam, Sebastian Cunther, Paul Baumann, Shafiq ur Rehman, Max Muhlhauser, "SmartGuidance'17, 2nd International Workshop on Intelligent Personal Support of Human Behavior being held in conjunction with UbiComp'17", September 11-15 at Maui, Hawaii, USA.
  • Waqas Ali, Muhammad Awais Azam, Usman Naeem, Mustansar Ali GHazanfar, Asra Khalid, Yasar Amin, "Variance Based Pattern Detection for Inferring Activities of Daily Living", The NUCLEUS journal (Accepted)
  • Rida Ghafoor, Mustansar Ali, Muhammad Awais Azam, Usman Naeem, Christian Meurisch, "Smartphone Based Robust Hierarchical Framework for Activity Recognition based on Machine Learning", in International Conference on Future Technologies (FTC), 29-30 November 2017, Vancouver, Canada (Accepted)
  • Sobia Arshad, Muhammad Awais Azam, Jonathan Loo, "Towards Name Data Networking (NDN) Naming for Internet of Things (IoT): THE CASE OF SMART CAMPUS", in International Workshop on Smart Technologies (WOSTech) in conjunction with International Conference on Future Networks and Distributed Systems, July 19-20, 2017, Cambridge, UK (Accepted)
  • Ayesha Habib,Sohaira Ansar, Adeel Akram, M. Awais Azam, Yasar Amin and Hannu Tenhunnen , 'Directly Printable Organic ASK based Chipless RFID Tag for IoT Applications', Radio Engineering Journal, IF = 0.6
  • Ayesha Habib, Yasar Amin, Muhammad Awais Azam, Jonathan Loo, Hannu Tenhunen, 'Frequency signature directly printable humidity sensing tag using organic electronics', IEICE Electronics Express, Vol. 14 (2017), No. 3 pp. 1-6
  • Asra Khalid, Mustansar Ali Ghazanfar, Sobia Zahra, M awais Azam, Saad Ali Alahmari, (2016) "A Scalable and Practical One-Pass Clustering Algorithm for Recommender System", Journal of Intelligent Data Analysis (IDA) vol. 21, no. 2, pp. 279-310, 2017, DOI: 10.3233/IDA-150316
  • Aslam B, Khan UH, Azam MA, Amin Y, Loo J, Tenhunen H. A compact implantable RFID tag antenna dedicated to wireless health care. Int J RF Microw Comput Aided Eng. 2017;00: e21094. https://doi.org/10.1002/mmce.21094
2016
  • Mustansar Ali Ghazanfar, Saad Ali Alahmari, Anam Mustaqeem, Muazzam Maqsood, Sanay Muhammad Umar Saeed, Muhammad Awais Azam (2016), "Using Machine Learning Classifiers to Predict Stock Exchange Index", In International Conference on Information Computer Application (ICICA2016), January 18-19, 2016 Brisbane, Australia
  • Muhammad Adeel, Laurissa N Tokarchuk, SKA Khan, Muhammad Awais Azam, (2016) "On Propagation of Generic and Real-World Mobile Malware", Proceedings appeared on IOARP Digital Library, March 2016, London UK
  • Azhar-ud-din, Ali Javed, A Hanif, M Awais Azam, Tasawer Hussain, (2016) "Development of Postpaid and Prepaid Billing System for ISP's", ICCN 2015 - IOARP International Conference on Communication and Networks, March 2016, London UK
  • Rahat Masood, Muazzam Maqsood, Anam Mustaqeem, Muhammad Awais Azam, (2016) "Cloud Forensics: A Discussion on Open Problems and State-of-the-Art Approaches", ICCN 2015 - IOARP International Conference on Communication and Networks, March 2016, London UK
  • Shamila Nasreen, Muhammad Awais Azam, Usman Naeem, Mustansar Ali Ghazanfar, Asra Khalid, (2016) "Recognition Framework for Inferring Activities of Daily Living Based on Pattern Mining", The Arabian Journal for Science and Engineering, August 2016, Volume 41, Issue 8, pp 3113-3126, March 2016. DOI: 10.1007/s13369-016-2091-9
  • Ayesha Raana, Muhammad Awais Azam, Mustansar Ali Ghazanfar, Nadeem Majeed, Yasar Ameen, Usman Naeem, Ali Javed, (2016) "C++ BUG CUB: Logical Bug Detection for C++ Code", The Nucleus 53, No.1,2016. http://www.thenucleuspak.org.pk/Fulltext/MS-1159.pdf
  • U. H. Khan, B. Aslam, J. Khan, M. Nadeem, H. Shahid, M. A. Azam, Y. Amin, H. Tenhunen, "A Novel Asterisk-Shaped Circularly Polarized RFID Tag for On-Metal Applications", Vol 31, Num 9, 2016
  • Umar Hasan Khan, Bilal Aslam, Tayyabah Noor, Nimra Javed, Awais Azam, Yasar Amin, Hannu Tenhunen, "COMPACT RFID ENABLED MOISTURE SENSOR", Paper No. 16-282, Radio Engineering Journal, IF = 0.6
  • (Accepted) Bilal Aslam, Umar Hassan, Muhammad Awais Azam, Yasar Amin, Hannu Tenhunen, (2016) "A MINIATURIZED DECOUPLED SLOTTED PATCH RFID TAG FOR WEARABLE HEALTHCARE", PIERS Journal
  • Umar Hassan Khan, Bilal Aslam, Humayun Shahid,,, Muhammad Awais Azam, Yasar Amin, Jonathan Loo, "Novel chipless displacement sensor circuit using spurline resonator", IEICE Electronics Express, (ELEX).
  • Christian Meurisch, Usman Naeem, Muhammad Awais Azam, Frederik Janssen, Benedikt Schmidt, Max Mühlhäuser, "Smarticipation – Intelligent Personal Guidance of Human Behavior Utilizing Anticipatory Models", Workshop at the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiCOmp'16), Heidelberg, Germany 12/13 September 2016.
  • Isibor Kennedy Ihianle, Usman Naeem, Abdel-Rahman Tawil, Muhammad Awais Azam, "Recognizing Activities of Daily Living from Patterns and Extraction of Web Knowledge", Workshop at the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'16), Heidelberg, Germany 12-13 September 2016, Pages: 1255-1262, doi>10.1145/2968219.2968440
  • Usman Naeem, Muhammad Awais Azam, Mustansar Ali Ghazanfar, (2016) "Inference Engine Based on a Hierarchal Structure for Detecting Everyday Activities within the Home". SAI Intelligent Systems Conference 2016 (IntelliSys 2016), 21-22 September, London UK, page(s): 969-986
  • Ayesha Habib, Muhhamad Awais Azam, Yasar Amin, Hannu Tenhunen, (2016) "Chipless Slot Resonators for IoT System Identification", IEEE International Conference on Electro Information Technology, May 19-21, 2016, North Dakota, USA
2015
  • Asra Khalid, Mustansar Ali Ghazanfar, M awais Azam, Saad Ali Alahmari, "A Scalable and Practical One-Pass Clustering Algorithm for Recommender System", Proc. SPIE 9875, Eight international Conference on Machine Vision (ICMV 2015), December 8, 2015, Barcelona Spain; doi:10.1117/12.2229516
  • Shamila Nasreen, Muhammad AwaisAzam, Usman Naeem, Mustansar Ali Ghazanfar (2015), “Inference of activities with unexpected actions using pattern mining”, in proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, Page(s) 1479-1488, 7-11 September, Osaka, Japan.
  • Shamila Nasreen, Muhammad AwaisAzam, Usman Naeem, Mustansar Ali Ghazanfar, (2015), RecognisingBehavioural Anomalies within Activities of Daily Life using Pattern Mining, in journal of Ambient Intelligence and Smart Environments (IF 1.082). (Submitted Jan-2015)
  • Usman Naeem, Richard Anthony, Abdel-Rahman Tawil, Muhammad AwaisAzam and David Preston, (2015) “Activities of Daily Life Recognition using Process Representation Modelling to Support Intention Analysis" (IJPCC-01-2015-0002.R1), In International Journal of Pervasive Computing and Communications, IJPCC.
  • Sobia Z., Ghazanfar, M., Asra K. and M. A. Azam, Usman Naeem, Adam Prugel-Bennett (2015) “Novel Centroid Selection Approaches for KMeans-Clustering Based Recommender Systems”, Information Sciences (2015). doi: http://dx.doi.org/10.1016/j.ins.2015.03.062 IF 3.98
  • S. K. A. Khan, J. Loo, A. Lasebae, M. A. Azam, M. Adeel, R. Kausar and H. Sardar, “Enhanced Lobby Influence: criterion based information forwarding algorithm for opportunistic networks”, in International Journal of Pervasive Computing and Communications, IJPCC (Submitted) 2015
  • Ivan, Usman Naeem, Muhammad AwaisAzam, Richard Anthony, “Inference of Hygiene Behaviours while Recognising Activities of Daily Life with a Real Time Location System Using a Hierarchical Framework ”, In Journal of Ambient Intelligence, 2015 (submitted)
  • 2014
  • Usman Naeem, Richard Anthony, Abdel-Rahman Tawil, Muhammad AwaisAzam and David Preston, (2014) ‘Tracking Functional Decline Using Ambient Intelligence for Alzheimer’s Patients’, In 19th International Conference of the Society for Design and Process (SDPS 2014), 15-19 June 2014, Kuching, Sarawak, Malaysia.
  • Muhammad Adeel, N. Tokarchuk, Muhammad Awais Azam, S.K.A. Khan, M.A. Khalil, (2014) “Propagation Analysis of Malware Families in Mobile P2P Networks”, In the international conference on Information Technology: New Generations, ITNG 2014, April 7-9, Las Vegas, Nevada, USA.
  • Usman Naeem, Richard Anthony, Abdel-Rahman Tawil, Muhammad AwaisAzam and David Preston, (2014) ‘Approaches for Tracking Functional Decline using Ambient Intelligence’. In Assistive Technologies for Physical and Cognitive Disabilities, Advances in Medical Technologies and Clinical Practice (AMTCP) Book Series Chapter, IGI-Global, October 2014.
  • S. K. A. Khan, J. Loo, A. Lasebae, M. A. Azam, M. Adeel, R. Kausar and H. Sardar, (2014) “LOC algorithm: Location-aware opportunistic forwarding by using node's approximate location”, in International Journal of Pervasive Computing and Communications, IJPCC Volume 10 Issue 4, October 2014, pp. 481-496.
  • ShamilaNasreen, Muhammad AwaisAzam, KhurramShehzad, Mustansar Ali Ghazanfar, (2014) “Frequent Pattern Mining Algorithms for Finding Associated Frequent Patterns for Data Streams: A Survey”, in the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014),September 22-25, Volume 37, Page(s) 109-116, Nova Scotia, Canada, 2014.
  • 2013
  • Muhammad AwaisAzam, Jonathan Loo, Usman Naeem, Muhammad Adeel, “Recognising Indoor/Outdoor Activities of Low Entropy People using Bluetooth Proximity and Object Usage Data ” ,International Journal of Pervasive Computing and Communications, IJPCC, Volume 9 Issue 4, Nov, 2013.
  • Waleed Ejaz, Najamul Hassan, Muhammad AwaisAzam, HyungSeok Kim, “Cooperative Spectrum Sensing for Maritime Cognitive Radio Networks: Performance analysis for Realistic Channel Conditions”, WiMo, 2013, Turkey.
  • Muhammad AwaisAzam, Jonathan Loo, “Using Wireless Proximity Data to Infer the Behaviour of Mobile People”. International Journal of Pervasive Computing and Communications, IJPCC, Volume 9 Issue 1, Page(s) 6-36, 2013.
  • Khan SKA, Loo J, Azam MA et al.(2013) . LOC: Location-aware opportunistic content forwarding using direction vectors. 2013 IEEE Symposium on Computers & Informatics (ISCI 2013), Langkawi, Malaysia, 07-09 April 2013.
  • 2012
  • Waleed Ejaz, N.A. jamul Hassan, Muhammad AwaisAzam, HyungSeok Kim,“Improved Local Spectrum Sensing for Cognitive Radio Networks”. EURASIP Journal on Advances in Signal Processing, a SpringerOpen Journal, Issue November 2012.









Faculty

 

 
University of Engineering and Technology Taxila, Department of Computer Engineering, 051-9047568
 
University of Engineering and Technology Taxila, Department of Computer Engineering, 051-9047568
 

About the university

The University campus is located on the outskirts of Taxila at a distance of 5 km from the city. It is situated near railway station Mohra Shah Wali Shah on Taxila-Havelian branch line....

Important websites

HEC Pakistan
Higher Education Commission Pakistan
PEC Pakistan
Pakistan Engineering Council

About Computer Engg. Dept.

Department of Computer Engineering, is concerned with the theory, design, development and applications of computer networks and computer systems....
 
UET Taxila