Invited Speakers
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Abstract: Pakistan’s fast growing international traffic is now exceeding 1 Tbps. All of this traffic is currently passing through the optical fiber submarine cable networks landing in the coastal area of Karachi. Special Communication Organization (SCO) has opened a new route for international connectivity by laying optical fiber cable along the Karakoram Highway (KKH) and establishing interconnecting with Chinese carries at Khunjerab Pass. This route not only provides geographical diversity to Pakistan’s international connectivity but opens a host of other commercial opportunities for the telecom sector of Pakistan. This project is an engineering feat for a number of reasons: First, Khunjerab site is the highest telecom node in the world, second, it remains inaccessible during winter months, third grid power is not available and lack of oxygen precludes the usage of diesel generators, fourth the terrain is extremely vulnerable to landslides, and fifth, there is only a single linear alignment available along the KKH. In this presentation we examine the strategic and commercial significance of this network, the technical challenges in its implementation, and the strategies to overcome the challenges. Future expansion of this network will also be discussed.
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Dr. Avais Kamal has over 25 years of experience in various areas of telecom and defense sector. He started his career as a Research Scientist at the Optoelectronics Research Centre, a multi-campus national center of excellence of UK. In 1993 he joined Advanced Engineering Research Organization (AERO) in June 1993, where he was responsible for indigenization of a number of military and commercial technologies. At AERO he pioneered and headed the Avionics Integration Facility (AIF). AIF has been involved in development and production of complex avionics subsystems. In 1995 he established Pakistan’s firs optical fiber and cable manufacturing facility of Pakistan. He also, served on the board of directors of PTCL from July 2000 till April 2006. In 2002, he founded Optiwave Technologies (Pvt.) Ltd. ,a company dedicated to the promotion of ICT in Pakistan. Optiwave has undertaken almost 100 projects in telecom sector as a consultant in the last 14 years. Dr. Avais Kamal obtained his undergraduate education in physics and mathematics from Ohio Wesleyan University in November 1984, He earned two separate Master’s degrees from the Univeristy of Michigan, Ann Arbor: first in nuclear science from the Nuclear Engineering Department; and second, in electrical engineering from the Electrical Engineering and Computer Science (EECS) Department. In August 1991, he was awarded a Ph.D. in Electrical Engineering, with a specialization in optical fiber communication by the EECS Department of University of Michigan.
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Access-driven Cache Side-Channel Attacks (CSCAs) are strong cryptanalysis techniques that break cryptographic algorithms by targeting their implementations. In recent years, Intel’s x86 architecture has been exposed to high-resolution and stealthy SCAs such as: Flush+Reload, Flush+Flush, Prime+Probe, Spectre and Meltdown. Despite valiant efforts, mitigation techniques against such SCAs are not very effective. This is mainly because of two reasons: 1) Most mitigation techniques usually protect against any given specific vulnerability and do not take a system-wide approach, and 2) they either completely remove or greatly reduce the performance benefits of resource sharing. In this talk, I will provide arguments in favor of a need-based protection approach, i.e., to apply mitigation only after successful detection of a CSCA, in order to create equilibrium between security needs and performance benefits of modern computing systems. Detection can serve as the first line of defense against such attacks. However, for detection-based protection strategy to be effective, detection needs to be highly accurate, should incur minimum system overhead at run-time, should cover a large set of attacks and should be capable of early-stage detection, i.e., before the attack completes. To support this argument, I will present some recent experiments and results in this talk on the detection of state-of-the-art CSCAs, such as; Flush+Reload, Flush+Flush and Prime+Probe, using real-time HPC data from Intel’s x86 hardware and machine learning models.
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Dr. Khurram Bhatti is the Director of Embedded Computing Laboratory (ECLab-ITU) and an Assistant Professor at Information Technology University (ITU), Lahore, Pakistan. He is one of the very few Marie-Curie Research Fellows who are currently working in Pakistan. His research interests include embedded systems, information security at hardware & software levels, cryptanalysis, mixed criticality systems and parallel computing systems. Over the last 6 years, Dr. Bhatti has taught at the Information Technology University (Pakistan), the University of Nice-Sophia Antipolis (France) and COMSATS University Lahore (Pakistan). He has also been working with prestigious European research institutes like INRIA (Fr), Lab-STICC/UBS (Fr), KTH (Sw) and École Polytechnique de Paris (Fr). Dr. Bhatti has done his Postdoctoral research at the KTH Royal Institute of Technology, Stockholm, Sweden. He holds a PhD in Computer Engineering and MS in Embedded Systems from the University of Nice-Sophia Antipolis, France. Dr Bhatti can be reached at: khurram.bhatti@itu.edu.pk.
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Monis Rahman is a Pakistani internet entrepreneur, venture capitalist and businessman. Rahman is the co-founder and executive chairman of Naseeb Networks, Inc.; a business-oriented social network used primarily for online job recruiting. Rahman has been listed among the top entrepreneurs of 21st century several times. He is an internet entrepreneur with 15 years of experience setting up online businesses in emerging markets and delivering results. He has specific familiarity with US, Pakistan and Saudi online markets for classifieds and e-commerce related businesses. He can comfortably navigate between high level financial modeling, low level code writing, managing high performance sales organizations and building brands on small budgets.
After a hiatus of four years and working as a consultant, Rahman decided to start a social networking site for Muslims in the United States and United Kingdom, after looking at the success of similar website Friendster.com. He named it "Naseeb.com" (meaning "destiny").
In 2005, Rahman built a "quick and dirty" job site to post job openings for his parent company Naseeb Networks. Many other companies contacted Rahman to post their companies' and products' ads on his website. Rahman agreed to post their ads free of cost to help boost Naseeb's traffic. After receiving such a reception, the website became the primary business of Naseeb Networks.
Rahman has received multiple honours and awards including International Data Group CIO Pakistan Pioneer in Innovation Award, Forbes "Ten Big Hitting Asian Businessmen under 50" and Pakistan Power 100 Excellence Award.
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Access to massive amounts of data and high-end computers has heralded revolutionary advances in Machine Learning (ML) impacting domains ranging from autonomous driving and robotics, to healthcare, the natural sciences, the arts and beyond. As we deploy modern ML systems in safety- and health-care applications, however, it is important to ensure their security against adversarial attacks. Researchers have shown that many modern ML algorithms, especially the ones based on the deep neural networks (DNNs) are fragile and can be embarrassingly easy to fool. This is easier said than done. Recent research has shown that DNNs are susceptible to a range of attacks including adversarial input perturbations, backdoors, Trojans, and fault attacks. This can create catastrophic effects for various safety-critical applications like automotive, healthcare, etc. For instance, selfdriving cars and vehicular networks, which heavily rely on ML-based functions, exhibit a wide attack surface that can be exploited by well-known and yet-unknown-but-possible attacks on ML models. DNNs contain hundreds of millions of parameters and are hard to interpret/debug let alone verify, significantly increasing the chance they may misbehave. Further, any ML system is only as robust as the data on which we train it on. If the data distributions change in the field, this can impair performance (for example, an autonomous vehicle trained in day time conditions may not function at nighttime). The goal of this talk is to shed light on various security threats for the ML algorithms, especially the deep neural networks (DNNs). Various security attacks and defenses for DNNs will be presented in detail. Afterwards, open research problem and perspectives will be briefly discussed. Towards the end, this talk will also highlight the need for reliability in ML systems considering faults in the underlying hardware. Anecdotally, researchers speculated that ML applications forgive hardware errors. But, new research has revealed that the accuracy drops even at low fault rates. In fact, ML hardware in Tesla’s self-driving cars uses expensive dual modular redundancy to mitigate the impact of faults.
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Muhammad Shafique is a full professor (Univ.Prof.) of Computer Architecture and Robust Energy-Efficient Technologies (CARE-Tech.) at the Institute of Computer Engineering, Faculty of Informatics, Vienna University of Technology (TU Wien) since Nov. 2016. He received his Ph.D. in Computer Science from Karlsruhe Institute of Technology (KIT), Germany in Jan.2011. Afterwards, he established and led a highly recognized research group for several years as well as conducted impactful research and development activities in Pakistan. Besides co-founding a technology startup in Pakistan, he was also an initiator and team lead of an ICT R&D project. He has also established strong research ties with multiple universities in Pakistan, where he is actively co-supervising various R&D activities, resulting in top-quality research outcome and scientific publications. Before, he was with Streaming Networks Pvt. Ltd. (Islamabad office) where he was involved in research and development of video coding systems several years. Dr. Shafique has demonstrated success in leading team-projects, meeting deadlines for demonstrations, motivating team members to peak performance levels, and completion of independent challenging tasks. His experience is corroborated by strong technical knowledge and an educational record (throughout Gold Medalist). He also possesses an in-depth understanding of various video coding standards (HEVC, H.264, MVC, MPEG-1/2/4). His research interests are in computer architecture, power- & energy-efficient systems, robust computing, dependable & fault-tolerant system design, hardware security, emerging Brain-Inspired Computing trends like Neuromorphic and Approximate Computing, Hardware and System-level Design for Machine Learning and AI, emerging technologies & nanosystems, FPGAs, MPSoCs, and embedded systems. His research has a special focus on cross-layer analysis, modeling, design, and optimization of computing and memory systems covering various layers of the hardware and software stacks. The researched technologies and tools are deployed in application use cases from Internet-of-Things (IoT), Cyber-Physical Systems (CPS), and ICT for Development (ICT4D) domains. Dr. Shafique has given several Keynotes, Invited Talks, and Tutorials at premier venues. He has also organized many special sessions at premier venues (like DAC, ICCAD, DATE, and ESWeek) and served as the Guest Editor for IEEE Design and Test Magazine (D&T) and IEEE Transactions on Sustainable Computing (T-SUSC). He is the TPC Chair of ISVLSI 2020. He has served as the TPC co-Chair of ESTIMedia and LPDC, General Chair of ESTIMedia, Track Chair at DATE and FDL, and PhD Forum Chair of ISVLSI 2019. He has served on the program committees of numerous prestigious IEEE/ACM conferences including ICCAD, ISCA, DATE, CASES, ASPDAC, and FPL. He is a senior member of the IEEE and IEEE Signal Processing Society (SPS), and a member of the ACM, SIGARCH, SIGDA, SIGBED, and HIPEAC. He holds one US patent and has (co-)authored 6 Books, 10+ Book Chapters, and over 200 papers in premier journals and conferences. Dr. Shafique received the prestigious 2015 ACM/SIGDA Outstanding New Faculty Award (given world-wide to one person per year) for demonstrating an outstanding potential as a lead researcher and/or educator in the field of electronic design automation. Dr. Shafique also received six gold medals in his educational career, and several best paper awards and nominations at prestigious conferences like CODES+ISSS, DATE, DAC and ICCAD, Best Master Thesis Award, DAC'14 Designer Track Best Poster Award, IEEE Transactions of Computer "Feature Paper of the Month" Awards, and Best Lecturer Award. His research work on aging optimization for GPUs featured as a Research Highlight in the Nature Electronics, Feb.2018 issue.
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This work looks into multi-input renewable energy sources for DC-AC inverter (MII) design. The proposed MII consists of a DC-DC boost converter and a single phase full bridge DC-AC inverter. The structure of MII is simpler compared to several single-input inverters used for each source. The input sources applied in this work comprise of photovoltaic (PV), wind turbine (WT) and hydrogen fuel cell (HFC). As the power from PV and WT are intermittent, a charge controller is required to provide uninterrupted supply to the MII. This MII is capable to operate in three different operating modes and power delivered to the load can be either individually or simultaneously. The proposed inverter was simulated using NI Multisim 12.0 circuit simulator and the results are discussed in details.
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Dr. Nor Zaihar Yahaya, MIEEE has been a staff in Universiti Teknologi PETRONAS (UTP) since 2002. Currently, he is a current a senior academician and researcher in the Department of Electrical & Electronics Engineering in UTP, Malaysia. His main teaching/research includes the study of Solid State Physics, Microelectronics & Devices and Power Electronics & Drives. He has published more than 50 papers in proceedings, indexed journals and book chapter. In addition, he has filed for several copyright and patent locally. Currently, he is actively working on projects related to Renewable Energy (RE) and PETRONAS interest. Among them are studies involving RE integration which include electrolysis/fuel cell technology as well as power generation towards rural areas, vessel on off-shore oil rig applications. Other than these, he has performed his duty as working panel for curriculum syllabus, external PG examiners, advisor/consultant to several industries dealing with LEDs, RE, PCB, converter/inverter design, RF energy harvester and many others.
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Increasing availability of sensing infrastructure, through Internet of Things (IoT) and Edge devices, requires access to computing environments that are able to process such data within time, cost and efficiency constraints. Due to the limited capacity (compute power, storage, transmission range, battery life) of such devices, it is often necessary to off-load computation to another system. A number of applications can now make use of this sensing infrastructure, such as city-wide surveillance, transport management and environment monitoring. Understanding how such infrastructure can be used in an effective manner remains a challenge for software application developers. The availability of various device specific libraries, variable frequency of firmware upgrades and data formats adds additional complexity to this. An approach for integrating IoT-based sensing with real time data analysis is proposed, which attempts to address some of the challenges identified above.
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Omer Rana is Professor of Performance Engineering in the School of Computer Science & Informatics at Cardiff University. He leads the Complex Systems Research Group which also hosts an Internet of Things laboratory and the Airbus Centre in Cybersecurity Analytics. He is on the Executive Committee of Cardiff University's multi-disciplinary "Data Innovation" Research Institute, and he also contributes as an advisory board member of the "Energy Systems" Research Institute. Omer Rana holds a PhD in Neural Networks & Parallel Architectures from Imperial College (University of London, UK). Additional information available at: https://www.cardiff.ac.uk/people/view/118157-rana-omer
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Over the last couple of decades, the use of Internet has changed its course from people-oriented to business-oriented and from connection-oriented to content-oriented. A latest projection of Internet usage suggests that video content will claim about 80% of the total Internet traffic by 2019. It goes without saying that content is not only video, but there is plethora of different content types used in various domains such as healthcare, entertainment, business, sports, education, press, shopping, and so on. The surge in content over Internet has created a disparity between the current internet architecture and the unique requirements for handling content over the Internet in the future. Furthermore, the current TCP/IP-based Internet architecture does not, in its entirety, suit the diversified applications available today. The historical and traditional issues (such as mobility, link failure, congestion, scalability, routing overhead, and security, to name a few) with TCP/IP architecture are still lingering around and unfortunately the same traditional ‘after-thought’ and ‘patch-based’ solutions in current TCP/IP-based networking will not work for content-oriented networks. Therefore, there is a strong tendency towards content-driven network architecture for future Internet. To this end, content-centric network (CCN) has the answers to, at least in part, the afore-mentioned problems where data is treated as a first-class citizen rather than the source of the data and the path taken by the data while traveling through the network. Named Data Networking (NDN) is one of the implementations of CCN and has got ample attention from both research and academia. To date, many applications have been designed and developed through NDN in different domains. In this talk, the rationale for, and transition from traditional TCP/IP to NDN will be discussed. From application domain standpoint, this talk will focus on wireless ad hoc networks and more precisely on vehicular networks and its different breeds. After establishing the bridge between content-centric networking and current Internet, we will also consider some technical solutions that are currently available. Precisely, content caching and cache management will be discussed in detail. The last part of the talk will focus on the current issues that need immediate attention and the future research prospects.
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Dr. Rasheed Hussain received his B.S. in Computer Software Engineering from University of Engineering and Technology, Peshawar, Pakistan in 2007, MS degree in Computer Engineering from Hanyang University, South Korea in 2010, and Ph.D. degree in Computer Engineering from South Korea in February 2015. He also worked as a Postdoctoral Research Fellow in Hanyang University, South Korea from March 2015 till August 2015. Furthermore, he worked as a Guest Professor in University of Amsterdam (UvA), Netherlands and consultant for Innopolis University, Russia from September 2015 till June 2016. Currently he is working as Assistant Professor and coordinator for masters program in Secure System and Network Engineering (SNE) at Innopolis University, Russia (the first IT university in Russia). Dr. Hussain’s main research interests include information security and privacy, applied cryptography, cybersecurity, Vehicular Networks security, Vehicular clouds security, (VANET), Cloud Computing (CC), Vehicular Social Networks, smart grid security, Internet of Things (IoT), Big data security, named data networking, and blockchain technology. He serves on the editorial board of IEEE Access, IEEE Internet Policy Newsletter, IEEE Future Directions Newsletter, Wiley Internet Technology Letters (ITL), and Ad Hoc Sensors and Wireless Networks (AHSWN) journal. Furthermore, he also serves as reviewer for many journals from IEEE, Springer, Elsevier, and IET that include IEEE Sensors Journal, IEEE TVT, IEEE T-ITS, IEEE TIE, IEEE T-IFS, IEEE Comm. Magazine, Elsevier ADHOC, Elsevier JPDC, Elsevier VehCom, Elsevier ComCom, Elsevier CSI, Springer WIRE, Springer JNSM, and many more. He served as reviewer and TPC for world renowned international conferences of repute including IEEE INFOCOM, IEEE GLOBECOM, IEEE VTC, IEEE VNC, IEEE ICC, IEEE PCCC, IEEE NoF, and many more. Further details can be found at: https://sites.google.com/site/rasheedinfosec/(Email: r.hussain@innopolis.ru)
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Although face recognition is very convenient and the most natural biometrics technology, it is widely known that face recognition is error-prone and heavily affected by environmental factors such as light, camera, face pose and so on. However, there are several methods to have a perfect face recognition in outdoor environments. First of all, failure factors of Face recognition will be explained. These will be given from the perspective of camera/image and subject of interest. After then, methodologies to have a error-free face recognition in unconstraint environments will be given by examples. Some knowhow and techniques based on the empirical studies will be explained so that these enhance the use of face recognition widely in our society. Some interesting ideas on how Face recognition will contribute our daily life will be also shared.
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Sadi Vural received his B.S. degree in Electronics Engineering from Istanbul University, Istanbul, Turkey in 1997 and the M.S. degree in Information Science Engineering from Ritsumeikan University, Shiga, Japan in 2000. He received his Ph.D. degree from the Department of Systems Innovation, Graduate School of Engineering Science at Osaka University, Osaka, Japan in 2011. He is doing face recognition research as Visiting Assoc. Professor at Osaka University. He is also working for the Ayonix Corporation, Tokyo, Japan, since of 2007. His current interests include face detection, face recognition, 3d Face feature extraction, neuro-brain recognition, gender and age estimation.
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Referable to the advancements of IT storage, processing, figuring, and sensing technologies, Big Data have become a novel norm of life. But until recently, data processors are able to capture and analysis all sorts of large-scale data from all sorts of arenas -- people, behavior, education, mobiles, sensors, biological, finance, transport, satellites, social media, etc. All industries are bracing into the challenge of Big Data and want to dig out valuable patterns to bring insight to resolve their challenges. This Talk shall provide the underlying knowledge to elaborate those challenges. Emphasizing on how a data scientist needs to restrain up with this ever changing trends to be able to create a state-of-the-art solution for real-world challenges.
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Currently, Prof. Dr. Sohail is working as Professor of Computer Science at COMSATS Institute of Information Technology Islamabad. In 2011 he joined as a Director of the University Institute of Information Technology, PMAS-Arid Agriculture University, Rawalpindi. Previously, Dr. Sohail was an Associate Professor of Computer Science, Faculty of Computing, MA Jinnah University, Islamabad, Pakistan. He is also one of the founding members of the Center of Research in Data Engineering (CORDE) Research Group in the Faculty. Prior to this position , Sohail, also, worked an Assistant Professor of Computer Sciences and Head of R&D section, Department of Computer Sciences, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan. He has as well worked as Research Associate and Assistant Lecturer in Clayton School of Information Technology, Faculty of Information Technology at Monash University, Melbourne, Australia. In 1994, he graduated with honors in Computer Science from the University of Wales, United Kingdom. From 1994 to 2002, he worked as a Senior Scientific Officer in R&D Organization in Islamabad. He then received his PhD from Faculty of Information Technology at Monash University, Melbourne Australia in 2006. Prof. Sohail has taught and researched in Data Mining (including structural Learning, Classification, and Privacy Presevation in Data Ming, Text and Web Mining), Decision Support Systems and Information Technology areas, and he has published extensively (More than 100 publications) in international journals as well as conference proceedings. He has supervised more than Thirty students on their Ph.D. dissertations and M.S. theses. He has supervised numerous undergraduate development projects including projects of two students who received ICT R&D Outstanding Undergraduate Award. He has also consulted widely on information Technology matters, especially in the framework of Data Mining. In 2004 he acquired the Australian Post Graduate Award for Industry. Dr. Sohail is a member of, the Australian Computer Society (ACS), and IEEE and also Higher Education Commission Approved Supervisor. Dr. Sohail is in the Editorial Team of well reputed Scientific Journals. He has also served as Program Committee member of numerous International Conferences and regularly speaks at international conferences.
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Our world is empowered by science and scientific knowledge as never before. Scientific and Technological advances are at a point where challenges to our education, health, governance, environment and wellbeing may be defined and potentially addressed in a way that could not have been imagined in a mere decade ago. Information and Communication Technologies (ICT) have transformed every aspect of our lives and offered unprecedented opportunities and challenges for education, health and government. Implementation architecture of change management and technology risk management best practices continues to be offered as strategic drivers towards improved efficient governance models, optimizing cost, better control and productivity of public sector. These approaches are predominantly drawn from private sector research and their application by the public sector remains a relatively under-researched area. In this talk, I will present three case studies of Pakistan’s government Organizations and a regional case study on cross functional team-based working. I analyse the success and failures in four organisational mechanisms that supported their implementation and identify the requirements for successful deployment. The said talk uncovers a critical requirement – the need not to break the status-quo but also manage and overcome resistance to change through the technology risk management in public sector.
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Technology integration and Risk Management Consultant at Government of Pakistan, IDB (Islamic Development Bank) and Higher Education Commission Of Pakistan, Chief Technology Officer (CTO) at Worldwide Technologies & Consulting Pty Australia. Having 20+ years of experience as an IT Professional, primarily in the field of Technology Risk Management, Project management, Systems Integration, Business Intelligence, Applications Services Framework consultancy in Public sector, Oil & Gas, Public Health and telecom sector. Heading the Service Delivery group of a multi-disciplinary consulting practice that delivers solutions using a wide variety of IT Automation technologies and solutions, management and orchestration platforms of tier 3 datacentres and cloud solutions. Expert in project planning, execution and monitoring & control. Encompasses strong leadership, successful team-building capabilities combined with technical, and communication skills. Diverse technical expertise derived from rapid learning and effective application of cutting-edge technology. Facilitate problem-solving teams that accurately assess technical challenges and successfully transform ideas into appropriate, workable solutions. As a hard core portfolio and program manager, managed a number of international and national level projects of 1000+ Man Months at large platform of tier 3 on SaaS and PaaS mode. As a Principal Applications Framework Consultant primarily responsible for integration and design of Applications services Framework across large infrastructures. Writer, speaker, researcher and consultant in the fields of Technology Management & Middleware Risk Management and evaluation. Today, In addition to all I serves as an adviser, policy maker and Board Member to several National (Public sector) and International organizations.
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Wahaj us Siraj is CEO and co-founder of Naya Tel (Pvt) Ltd., which has installed Pakistan's first fiber to the home (FTTH) project in Islamabad in 2006-07 to provide voice, video and high speed Internet access to business and home users. Before Nayatel’s launch, Wahaj co-founded Micronet Broadband (Pvt) Ltd., the first one to launch broadband Digital Subscribers Line (DSL) services in Pakistan in 2002 and Pakistan’s first country wide ISP in 1996. Wahaj has vast experience in Internet and telecom industry and also worked with the Government of Pakistan at policy making level. Wahaj is a founder member of ISPAK (Internet Service Providers Association of Pakistan) and has been a strong activist for reforms in Pakistani IT and Telecom industry.
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The Internet of Things (IoT) is expected to provide sustainable, efficient, and smart solutions for transportation, governance, environment, quality of life, etc. IoT applications demand diverse and wide range of requirements in terms of latency, reliability, energy efficiency, spectrum efficiency, etc. Therefore, IoT systems must have the ability to deal with the challenging requirements of both users and applications. The talk will provide a comprehensive overview of different sensor and communication technologies for IoT applications. These applications include disaster management, smart homes, smart grid, and charging management for electric vehicles. The focus will be given to reconfigurable IoT systems and energy management for IoT. The most recent results will be analyzed to enhance performance of IoT systems in terms of increase system throughput, coverage, and energy efficiency. Finally, the talk will present future challenges, with special focus on the challenges to support large number of devices, integration of wide range of heterogeneous sensor networks and technologies, as well as integration of context information and user experience in the IoT system.
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Waleed Ejaz (S’12, M’14, SM'16) is a Senior Research Fellow at the Department of Electrical and Computer Engineering, Ryerson University and Assistant Professor (PT) at the School of Applied Technology, Humber Institute of Technology, Toronto, Canada. Prior to this, he was a Post-doctoral fellow at Queen's University, Kingston, Canada. He received his Ph.D. degree in Information and Communication Engineering from Sejong University, Republic of Korea. He earned his M.Sc. and B.Sc. degrees in Computer Engineering from National University of Sciences & Technology, Islamabad, Pakistan and University of Engineering & Technology, Taxila, Pakistan, respectively. He has experience working with top engineering universities in Pakistan and Saudi Arabia as a Faculty Member. His current research interests include Internet of Things (IoT), energy harvesting, 5G cellular networks, and mobile cloud computing. He is currently serving as an Associate Editor of the IEEE Communications Magazine, IEEE Canadian Journal of Electrical and Computer Engineering, and the IEEE ACCESS. In addition, he is handling several special issues in prestigious journals. He also completed certificate courses on Teaching and Learning in Higher Education from the Chang School at Ryerson University.
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