• Redundant Signed Digit based High Speed Elliptic Curve Cryptographic Processor 

  Yasir A. Shah; Khalid Javeed; Shoaib Azmat; Xiaojun Wang (Bahria University Islamabad Campus, 2018)

  In this paper, a high speed redundant-signed-digit (RSD) based elliptic curve cryptographic (ECC) processor for National Institute of Standards and Technology (NIST) recommended prime P − 256 is proposed. The modular ...
• A high‐speed RSD‐based flexible ECC processor for arbitrary curves over general prime field 

  Yasir Ali Shah; Khalid Javeed; Shoaib Azmat; Xiaojun Wang (Bahria University Islamabad Campus, 2018)

  This workpresents a novel high‐speed redundant‐signed‐digit (RSD)‐based elliptic curve cryptographic (ECC) processor for arbitrary curves over a general prime field. The proposed ECC processor works for any value of the ...
• High-Speed FPGA Implementation of Full-Word Montgomery Multiplier for ECC Applications 

  Safiullah Khana; Khalid Javeedb; Yasir Ali Shaha (Bahria University Islamabad Campus, 2018)

  Modular multiplication is the most crucial operation in many public-key crypto-systems, which can be accomplished by integer multiplication followed by a reduction scheme. The reduction scheme involves a division operation ...
• LSA Based Smart Assessment Methodology for SDN Infrastructure in IoT Environment 

  Farhan Ullah; Junfeng Wang; Muhammad Farhan; Sohail Jabbar; Muhammad Kashif Naseer; Muhammad Asif (Bahria University Islamabad Campus, 2018)

  The Software Defined Network (SDN) is merged in the Internet of Things (IoT) to interconnect large and complex networks. It is used in the education system to interconnect students and teacher by heterogenous IoT devices. ...
• Augmenting High-Performance Mobile Cloud Computations for Big Data in AMBER 

  Muhammad Munwar Iqbal; Muhammad Ali; Mai Alfawair; Ahsan Lateef; Abid Ali Minhas; Abdulaziz Al Mazyad; Kashif Naseer (Bahria University Islamabad Campus, 2018)

  Big data is an inspirational area of research that involves best practices used in the industry and academia. Challenging and complex systems are the core requirements for the data collation and analysis of big data. Data ...
• Multiple Fuel Machines Power Economic Dispatch Using Stud Differential Evolution 

  Naila; Shaikh Saaqib Haroon; Shahzad Hassan; Salman Amin; Intisar Ali Sajjad; Asad Waqar; Muhammad Aamir; Muneeb Yaqoob; Imtiaz Alam (Bahria University Islamabad Campus, 2018)

  This paper presents an optimization method for solving the Power Economic Dispatch (PED) problem of thermal generation units with multiple fuels and valve point loadings. The proposed optimizer is a variant of Differential ...
• A collision avoidance scheme for autonomous vehicles inspired by human social norms 

  Faisal Riaz; Sohail Jabbar; Muhammad Sajid; Mudassar Ahmad; Kashif Naseer; Nouman Ali (Bahria University Islamabad Campus, 2018)

  This paper introduces the novel idea of using human social norms and human emotions to improve the collision avoidance of Autonomous Vehicles (AVs). Until now, the literature has been concerned with theoretical debates ...
• Automated Segmentation and Quantification of Drusen in Fundus and Optical Coherence Tomography Images for Detection of ARMD 

  Samina Khalid; M. Usman Akram; Taimur Hassan; Amina Jameel; Tehmina Khalil (Bahria University Islamabad Campus, 2017)

  Age-related macular degeneration (ARMD) is one of the most common retinal syndromes that occurs in elderly people. Different eye testing techniques such as fundus photography and optical coherence tomography (OCT) are used ...
• DSCB: Dual sink approach using clustering in body area network 

  Zahid Ullah; Imran Ahmed; Kaleem Razzaq; Muhammad Kashif Naseer; Naveed Ahmed (Bahria University Islamabad Campus, 2017)

  Wireless Body Area Networks (WBANs) is a revolutionary achievement in the field of health services. The field is envisioned to play an important role in medical, psychological, and even in non-medical applications. Different ...
• An E-Assessment Framework for Blended Learning with Augmented Reality to Enhance the Student Learning 

  Kanwal Mumtaz; Muhammad Munwar Iqbal; Shehzad Khalid; Tariq Rafiq; Syed Muhammad Owais; Mohammed Al Achhab (Bahria University Islamabad Campus, 2017)

  The study compared the students’ level of understanding using two scenarios i.e. S1 (Classroom Lectures) and S2 (Lectures based on AR). An independent sample t-test was applied to correlate the results of two groups ...
• VerSig: a new approach for online signature verification 

  Mehr Yahya Durrani; Salabat Khan; Shehzad Khalid (Bahria University Islamabad Campus, 2017)

  This paper introduces, VerSig, a new proposed scheme for online signature verification. The proposed scheme is based on creation of a signature envelope by employing dynamic time warping method. This envelope provides the ...
• Multimedia based student-teacher smart interaction framework using multi-agents in eLearning 

  Muhammad Munwar Iqbal; Yasir Saleem; Kashif Naseer; Mucheol Kim (Bahria University Islamabad Campus, 2017)

  Multimedia content comprises the graphics, audio & video clips, animation and text to present learning materials in a style, which improves learner expectation in eLearning paradigm. Electronic learning gained the popularity ...
• Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare 

  Sohail Jabbar; Farhan Ullah; Shehzad Khalid; Murad Khan; Kijun Han (Bahria University Islamabad Campus, 2017)

  Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data ...
• Data Compatibility to Enhance Sustainable Capabilities for Autonomous Analytics in IoT 

  Kaleem Razzaq Malik; Masood Habib; Shehzad Khalid; Farhan Ullah; Muhammad Umar; Taimur Sajjad; Awais Ahmad (Bahria University Islamabad Campus, 2017)

  The collection of raw data is based on sensors embedded in devices or the environment for real-time data extraction. Nowadays, the Internet of Things (IoT) environment is used to support autonomous data collection by ...
• Precise shape matching of large shape datasets using hybrid approach 

  Shehzad Khalid; Bushra Sabir; Sohail Jabbar; Naveen Chilamkurti (Bahria University Islamabad Campus, 2017)

  Precise and fast shape matching and retrieval from very large datasets is a challenging task because of the existence of many distortions such as noise, occlusion and affine distortions. In this paper, we aim to propose a ...
• Detection of Glaucoma Using Cup to Disc Ratio From Spectral Domain Optical Coherence Tomography Images 

  Tehmina Khalil; M. Usman Akram; Amina Jameel; Hina Raja (Bahria University Islamabad Campus, 2017)

  Glaucoma is an asymptomatic neurological disease. It causes damage to optic nerve due to increased uid pressure within eyes. In the proposed system, cup-to-disc-ratio has been computed considering internal layers of the ...
• Real-time imaging-based assessment model for improving teaching performance and student experience in e-learning 

  Muhammad Farhan; Muhammad Aslam; Sohail Jabbar; Shehzad Khalid (Bahria University Islamabad Campus, 2017)

  Multimedia is an essential and integral part of electronic learning (e-learning). In this study, teaching performance and student learning experience are measured using real-time multimedia processing tools and techniques ...
• Fuzzy based multi-criteria vertical handover decision modeling in heterogeneous wireless networks 

  Murad Khan; Awais Ahmad; Shehzad Khalid; Syed Hassan Ahmed; Sohail Jabbar; Jamil Ahmad (Bahria University Islamabad Campus, 2017)

  Vertical handover gain significant importance due to the enhancements in mobility models by the Fourth Generation (4G) technologies. However, these enhancements are limited to specific scenarios and hence do not provide ...
• Improved automated detection of glaucoma from fundus image using hybrid structural and textural features 

  Tehmina Khalil; Muhammad Usman Akram; Samina Khalid; Amina Jameel (Bahria University Islamabad Campus, 2017)

  Glaucoma is a group of eye disorders that damage the optic nerve. Considering a single eye condition for the diagnosis of glaucoma has failed to detect all glaucoma cases accurately. A reliable computer-aided diagnosis ...
• Comparative Study of Conventional and Satellite Based Agriculture Information System 

  Rafia Hassan; Ali Rizwan; Sadaf Farhan; Bushra Sabir (Bahria University Islamabad Campus, 2017)

  The purpose of this study is to compare the conventional crop monitoring system with the satellite based crop monitoring system in Pakistan. This study is conducted for SUPARCO (Space and Upper Atmosphere Research Commission). ...

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