aamir iqbal , ph.d
Sr. Software Engineer at Unum
sr. software engineer
software engineer proven ability work excel team environment . experienced designing building scientific application , complex software web development . • frontend / backend development • knowledge machine learning method : linear/nonlinear regression & classification data mining technique • ph.d dissertation focused distributed security resource-constrained wireless sensor context internet thing ( iot ) . ➡ key skill : cyber security | internet thing ( iot ) | mathematical modeling | simulation | numerical analysis | | optimization | data mining | high performance computation | wireless sensor network | software development | c/c++| c # | agile | html/css/jquery | sql | asp.net mvc | matlab | network simulator | ci/cd tool | cloud computing |
Unum
https://www.linkedin.com/company/unum
Baton Rouge, Louisiana Area
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Sr. Software Engineer
American Data Corporation
Working as Software Engineer  to develop the Lease management software (www.ilandman.com) for modern E&P purposes. iLandman automates the leasing processes, mapping including GIS drafting for big projects more efficient, better organized and ultimately making profitable through the use of secure online software system.
Technologies being used ASP.Net MVC 5, C#, SQL Server, HTML 5, CSS 3, Javascript, Bootstrap along with Agile based methodologies.
Lafayette, Louisiana Area
Software Engineer
Oak Ridge National Laboratory (ORNL)
https://www.linkedin.com/company/oak-ridge-national-laboratory
Worked in Computer Science and Mathematics Division. 
- Developed and re-write the programming codes and simulation software to make them efficient for analysis techniques needed in the use of high-resolution global and regional datasets. Techniques developed were tested over South Asian monsoon and the United States.
- Technologies used C/C++/MATLAB/C#/ASP.NET MVC 5/SQL Server/HTML/CSS/Javascript
- Developed an iOS app for analysis techniques required in high-resolution global and regional datasets to show animations and simulations results in an easy to use and user-friendly interface for general public.
Oak Ridge, Tennessee
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Software Engineer (Research)
IT Helpdesk and Customer Support
Developed softwares and applications in research area including Internet of Things (IoT), Security and Privacy, Cyber Security, Big Data, Data Analysis, Wireless Sensor Networks, Body Area Networks, Energy Management. 

Have contributed and coordinated the research activities in the iWIN and VLSI labs at The Center for Advanced Computer Studies (CACS) with having a number of research publications and talks in IEEE and ACM Journals/conferences.

Design and developed new efficient protocols for resource-constrained wireless sensors' data security and privacy in Internet of Things.

Ph.D Dissertation titled as "Distributed Security Paradigm for Resource-constrained Wireless Sensors in the Context of Internet of Things (IoT)" under supervision of Dr. Magdy A Bayoumi.

Strong problem solving and debug skills in both designing and implementing;
Excellent team work and independent work ability with the communication, time management skills and ability to work under pressure.

Specialties: Programming Languages: Proficient in, C++, C, Visual C, Python, C#, Swift, Objective C, Assembly Language.
Tools: SharePoint, Microsoft Visual Studio 2010, MATLAB (Simulink and GUI development).
Database : MySQL, SQL Server
Operating System: Windows, Linux, Mac OS
Web Technologies: HTML, CSS, Javascript libraries, ASP.Net, Drupal
Lafayette, Louisiana Area
Software Developer (Graduate Student Researcher)
The Center of Excellence, National Engineering & Scientific Commission
- Worked as Team Leader,  developed and provided engineering solutions for Scientific Software Development and IT Applications.
- Designed and developed softwares in Data Communication and Networks area. 
- Programmed and developed computing algorithms/codes for analysis and communication of data for sensors such as GPS, Gyroscopes, Accelerometers, Magnetometers, Air Data Sensors, Inertial Measurement Units (IMU), Temperature Sensors and Attitude Heading Reference Systems. 
- Simulations and development of different Wireless and Satellite Communication softwares using C/C++/Visual C/MATLAB and Assembly Language
Islamabad
Assistant Manager (Technical/Software)
Doctor of Philosophy - Ph.D
Research area includes Software and algorithms development for Internet of Things (IoT), Security and Privacy, Cyber Security, Big Data, Wireless Sensor Networks, Body Area Networks, Energy Management. 

Have contributed and coordinated the research activities in the iWIN and VLSI labs at The Center for Advanced Computer Studies (CACS) with having a number of research publications and talks in IEEE and ACM Journals/conferences.

Design and developed new efficient protocols for resource-constrained wireless sensors' data security and privacy in Internet of Things.

Ph.D Dissertation titled as "Distributed Security Paradigm for Resource-constrained Wireless Sensors in the Context of Internet of Things (IoT)" under supervision of Dr. Magdy Bayoumi.
Computer Science
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University of Louisiana at Lafayette
https://www.linkedin.com/school/university-of-louisiana-at-lafayette/
Masters in Computer Science
Being a graduate researcher working at Integrated Wireless Information Network (iWIN) Lab and VLSI Lab CACS, University of Louisiana at Lafayette, LA in the research area on Internet of Things, Security & Privacy schemes. WSNs, Indoor localization, Routing Protocols, Cyber security, energy Management & Security. Contributed and coordinated the research activities in the iWIN/VLSI lab groups, research publications and talks included in IEEE/ACM conferences and Journals.
Computer Scienece
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University of Louisiana at Lafayette
https://www.linkedin.com/school/university-of-louisiana-at-lafayette/
Computer Science, Software Engineering
Graduated with Honors, research project thesis selected as premier research.

Dissertation titled as “Study for Efficiency Optimization of Satellite Geometry Algorithms for GPS”, 2005. Algorithms developed in C++ and matlab to make them efficient from satellite raw data.
Computer Software Engineering
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University of Engineering and Technology, Lahore
https://www.linkedin.com/school/university-of-engineering-and-technology-lahore/
IEEE Computer Society
Member
IEEE
Member
The world is undergoing a dramatic rapid transformation from isolated systems to ubiquitous Internet-based-enabled ‘things’ capable of interacting each other and generating data that can be analyzed to extract valuable information. This highly interconnected global network structure known as Internet of Things will enrich everyone’s life, increase business productivity, improve government efficiency, and the list just goes on. However, this new reality (IoT) built on the basis of Internet, contains new kind of challenges from a security and privacy perspective. Traditional security primitives cannot be directly applied to IoT technologies due to the different standards and communication stacks involved. Along with scalability and heterogeneity issues, major part of IoT infrastructure consists of resource constrained devices such as RFIDs and wireless sensor nodes. Therefore, a flexible infrastructure is required capable to deal with security and privacy issues in such a dynamic environment. This paper presents an overview of IoT, security and privacy challenges and the existing security solutions and identifying some open issues for future research.
A review on Internet of Things (IoT): Security and Privacy Requirements and the Solution Approaches
Global Journal of Computer Science and Technology
http://globaljournals.us/index.php?option=com_content&view=article&id=84&Itemid=70
The world is undergoing a dramatic rapid transformation from isolated systems to ubiquitous Internet-based-enabled ‘things’ capable of interacting each other and generating data that can be analysed to extract valuable information. This highly interconnected global network structure known as Internet of Things will enrich everyone’s life, increase business productivity, improve government efficiency, and the list just goes on. However, this new reality (IoT) built on the basis of Internet, contains new kind of challenges especially from a security and privacy perspective. IoT devices communicate among themselves with little human interactions; mutual authentication is a crucial aspect of the paradigm. In such an intelligent vibrant system, sensors are connected to send useful information and control instructions via distributed sensor networks.With the rapid technological development of sensors, WSNs will become the key technology for IoT and an invaluable resource for realizing the vision of Internet of things (IoT) paradigm. It is also important to consider whether the sensors of a WSN should be completely integrated into IoT or not. New security challenges arise when heterogeneous sensors are integrated into the IoT. Security needs to be considered at a global perspective, not just at a local scale. Traditional security primitives cannot be directly applied to IoT technologies due to the different standards and communication stacks involved. Along with scalability and heterogeneity issues, major part of IoT infrastructure consists of resource constrained devices such as RFIDs and wireless sensor nodes. Therefore, a flexible infrastructure is required capable to deal with security and privacy issues in such a dynamic environment. This paper presents an overview of sensor integration into IoT, major challenges in IoT, existing security solutions that can be taken to protect their data over the internet and identifying some open issues for future research.
WIRELESS SENSORS INTEGRATION INTO INTERNET OF THINGS (IOT), MAJOR CHALLENGES AND THE SECURITY PRIMITIVES; A REVIEW
The International Journal of Computer Networks & Communications (IJCNC)
http://airccse.org/journal/ijcnc.html
For improved spectrum utilization, the key technique for acquiring
spectrum situational awareness (SSA) — spectrum
sensing — is greatly improved by cooperation among the
active spectrum users, as network size increases. However,
the many cooperative spectrum sensing (CSS) schemes that
have been proposed are based on the assumptions of accurate
noise power estimates, characterizable variation in noise
level and absence of false or malicious users. As part of a
series of SSA research projects, in this research work, we
propose a novel scheme for minimizing the effects of noise
power estimation error (NPEE) and received signal power
falsification (RSPF) by energy-based reliability evaluation.
The scheme adopts the Voting rule for fusing multiple spectrum
sensing data. Based on simulation results, the proposed
scheme yields significant improvement, 68.2—88.8%,
over the conventional CSS schemes, when compared on the
basis of the schemes’ stability to uncertainties in noise and
signal power.
An Energy-Detection-Based Cooperative Spectrum Sensing Scheme for Minimizing the Effects of NPEE and RSPF
The 19th ACM International Conference on Modeling, Analysis  and Simulation of Wireless and Mobile Systems
http://mswimconf.com/2016/
The common vision of smart systems today, is by and large associated with one single concept,
the internet of things (IoT), where the whole physical infrastructure is linked with intelligent
monitoring and communication technologies through the use of wireless sensors. In such an
intelligent vibrant system, sensors are connected to send useful information and control
instructions via distributed sensor networks. Wireless sensors have an easy deployment and
better flexibility of devices contrary to wired setup. With the rapid technological development of
sensors, wireless sensor networks (WSNs) will become the key technology for IoT and an
invaluable resource for realizing the vision of Internet of things (IoT) paradigm. It is also
important to consider whether the sensors of a WSN should be completely integrated into IoT or
not. New security challenges arise when heterogeneous sensors are integrated into the IoT.
Security needs to be considered at a global perspective, not just at a local scale. This paper
gives an overview of sensor integration into IoT, some major security challenges and also a
number of security primitives that can be taken to protect their data over the internet.
WIRELESS SENSORS INTEGRATION INTO INTERNET OF THINGS AND THE SECURITY PRIMITIVES
The Seventh International Conference on Ubiquitous Computing
http://iccsea.org/2016/ubic/
Secrecy and integrity of communication, as well as the
authenticity of messages must be ensured by the security
primitives and is critical element in Internet of Things. Devices in
IoT applications such as smart healthcare applications deal with
sensitive data of our health and daily lives and can execute
malicious actuating commands with serious safety consequences.
Therefore, it is important to ensure secure communication
channel establishment among the medical sensors/devices and the
remote servers. In this paper, we propose a novel authentication
and key agreement protocol that is lightweight for resourceconstrained
sensors and suitable to protect sensitive health
related data in the context of IoT. The protocol is based on
cooperation by offloading the heavy cryptographic functions of
resource-constrained sensors to the neighboring sensors that are
authenticated to be trustful. This trust verification is ensured by
finding the correlations between data from embedded
accelerometers in the smartphone acting as gateway and the
sensors installed on the body. Security analysis and performance
evaluation results show that the proposed protocol is secure and
is energy efficient.
A Novel Authentication and Key Agreemtent Protocol for Internet of Things Based Resourceconstrained Body Area Sensors
The IEEE 4th International Conference on Future Internet of Things and Cloud
http://www.ficloud.org/2016/
Internet of Things (IoT) is an ubiquitous concept where physical objects are connected over the internet and are provided with unique identifiers to enable their self-identification to other devices and the ability to transmit data over the network. Sensor nodes along with their heterogeneous nature are the main part of the IoT and may act as internet hosts or clients. Communication security and end-users privacy protection is a major concern in the development of IoT especially if these IP-enabled sensor nodes have limited resources. Secret key distribution for heterogeneous sensors is challenging due to the inconsistencies in their cryptographic primitives and computational resources as in Healthcare applications. This paper introduces a new End-to-End key establishment protocol that is lightweight for resource-constrained sensors and secure through strong encryption and authentication. By using this protocol, constrained nodes can also benefit from the same security functionalities that are typical of unconstrained domains, without however having to execute computationally intensive operations. The protocol is based on cooperation by offloading the heavy cryptographic operations of constrained nodes to the neighboring trusted nodes or devices. Security analysis and performance evaluation results show that the proposed protocol is strongly secure and is sufficiently energy efficient.
Secure End-to-End Key Establishment Protocol for Resource-Constrained Healthcare Sensors in the Context of IoT
IEEE International Conference on High Performance Computing & Simulation (HPCS), 2016
http://hpcs2016.cisedu.info/
The ZigBee specification is an emerging wireless technology designed to address the specific needs of low-cost, low-power wireless sensor networks and is built upon the physical and medium access control layers defined in IEEE 802.15.4 standard for wireless personal area networks
(WPANs). A key component for the wide-spread success and applicability of ZigBee-based networking solutions will be its ability to provide enhanced security mechanisms that can scale to hundreds of nodes. Currently, however, an area of concern is the ZigBee key management scheme, which uses a centralized approach that introduces well-known issues of limited scalability and a single point of vulnerability. Moreover, ZigBee key management uses a public key infrastructure.
Due to these limitations, we suggest replacing ZigBee key management with a better candidate scheme that is decentralized, symmetric, and scalable while addressing security requirements. In this work, we investigate the feasibility of implementing Localized Encryption and Authentication
Protocol (LEAP+), a distributed symmetric based key management. LEAP+ is designed to support multiple types of keys based on the message type that is being exchanged. In this paper, we first conduct a qualitative security analysis of LEAP+ and the current ZigBee key management scheme.
Using the QualNet 5.0.2 simulator, we implement LEAP+ on the ZigBee platform for the very first time. Experimental results show that a distributed key management scheme such as LEAP+ provides improved security and offers good scalability.
Investigating the Feasibility of LEAP+ in ZigBee Specification
IEEE 15th International Conference on Information Reuse and Integration (IRI), 2014
http://doi.ieeecomputersociety.org/10.1109/IRI.2014.7051918
Polling is a widely used generic Media Access Control (MAC) scheme in Wireless Sensor Networks. In this paper, we proposed a new mechanism that improves the performance of the existing polling mechanism of a recent defined MAC protocol, baseline BAN MAC. In our mechanism, the poll message is placed inside the ACK packet. As a result, throughput is improved and latency is reduced. Simulations are performed on OMNeT++ based simulator Castalia and the results show that our method provides higher performance than the Poll mechanism used in baseline BAN MAC.
Fast Polling Mechanism for Baseline BAN MAC (802.15.6) of Body Area Networks
2013 International Workshop on Body Area Sensor Networks (BASNet-2013)
https://web.cs.dal.ca/~zkhan/BASNet-2013/
n this work, a new coexistence mechanism based on baseline BAN MAC is proposed to mitigate the co-channel interference of Body Area Networks (BAN). The inter- and intra-BAN resources are allocated with the consideration of the data priorities and available bandwidth. Simulations are conducted on OMNeT++ based simulator Castalia and the results show that the efficiency of our proposed method in terms of time slots allocation and energy consumption is better than other similar protocol.
A new Coexistence Mechanism for Baseline BAN MAC (802.15.6) of Body Area Networks
2013 International Workshop on Body Area Sensor Networks (BASNet-2013)
https://web.cs.dal.ca/~zkhan/BASNet-2013/
Computer Architecture
CSCE530
Computer Communications and Netwroks
CSCE513
Data Compression
CSCE518
Design and Analysis of Algorithms
CSCE500
Mobile Computing and Applications
CSCE576
Wireless Computing and Networking Systems
CSCE575
Cryptography and Data Security
CSCE516
Python Programming Learning
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Data Science
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Simulations and Analysis
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Swift Programming
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Data Structures
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LinkedIn
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C# & .NET: Programming
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Mumbai
Deepika Biswas
--
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Greater Paris Metropolitan Region
Sadaf Jafri
PhD candidate at Université Piere et Marie Curie
https://pk.linkedin.com/in/dr-zaheer-uddin-08105233
Pakistan
Dr.Zaheer Uddin
Assistant Professor
https://www.linkedin.com/in/khalid-hanif-47013721
Plano, TX
Khalid Hanif
Looking for a new position
https://ca.linkedin.com/in/syedgardezi
Vaughan, ON
Syed Gardezi
Technical Advising Specialist at GE Transportation, a Wabtec company
https://www.linkedin.com/in/yining-qin
Livermore, CA
Yining Qin
Senior Machine Learning Tech Lead | Senior Staff Engineer
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Cologne
Osama Farooqui
Physicist, Materials Engineer, Researcher and Programmer
https://in.linkedin.com/in/shazia-qureshi-she-her-55a4a1146
Kolkata
Shazia Qureshi (She/Her)
Development Professional focused in the field of Disability | Certified Accessibility Professional in Built Environments
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Washington DC-Baltimore Area
Dr. Najam Hassan, CISA, PMP
IT Management Consultant & Educator
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Bergen
Dhawal Upadhyay
Test Lead at TietoEVRY
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San Francisco, CA
Kristina Lee
Senior Product Program Manager, Health at Facebook
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Bangalore Urban
Sambitesh Dash
Staff Software Engineer at VMware
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Baton Rouge, LA
Shannon Blood
Product Owner at Unum
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Abita Springs, LA
Ed Swan
Managing Director IT Prod Support at Amedisys
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Ankara, Turkey
Tamer Tunçdöken
Owner,  Everest Group => Everest Eng. Consulting, A Knowledge Eng R&D, Micron Technology R&D
https://www.linkedin.com/in/md-ashfakul-islam-phd-4a88b0b
New York, NY
Md Ashfakul Islam, PhD
Sr Software Engineer at Bloomberg LP
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Dayton, OH
Al Amin Hossain
Computer Scientist at United States Air Force
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San Francisco Bay Area
Naitik Shah
Senior Software Engineer at Bill.com || Developing Artistic web apps
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Seattle, WA
Abhinav Jain
Software Engineer II at Remitly
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New York City Metropolitan Area
Raj Parikh
Software Engineer at Bloomberg LP
IEEE Computer Society Members
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IEEE Communications Society
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NSF Smart Service Systems and the Future of Work at the Human-Technology Frontier
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Data Structures and Algorithms
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UET Lahore
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MATLAB Users and Integrators
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ICASSP - IEEE International Conference on Acoustics, Speech, and Signal Processing
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Data Scientists
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Data Mining, Statistics, Big Data, Data Visualization, AI, Machine Learning, and Data Science
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Baton Rouge Analytics & Intelligence Network
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Big Data and Analytics
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