International Speakers

Dr. Nor Hisham bin Hamid

Associate Professor and Director Nanotechnology Mission Oriented Research, Universiti Teknologi PETRONAS, Malaysia

Topic: STEM Education: A relentless efforts for future sustainability

Abstract:

The Integrated STEM approach for school level is gaining momentum in developed countries like the United States. Current developments in Malaysia have shown the interest of the Malaysian government to implement this approach. The keynote will address and highlight the progress of STEM initiative and the efforts that have begun to be made in Malaysia; specifically, by Universiti Teknologi PETRONAS. Several key points in implementing this Integrated STEM will be presented; focusing on Framework and Programs on the principle of integration of knowledge and consideration in discussing with all stakeholders towards comprehensive and inclusive Integrated STEM education.

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Dr. Daniela Gifu

Senior Researcher (CS III) Romanian Academy - Iasi Branch Institute of Computer Science

Topic: Measuring and Classifying Semantic Relations by Combining Linguistic Resources

Abstract:

One of the most important classes of constructors in linguistic theory has been semantic relations (SR) based on the premise that semantically cognate words tend to co-occur. Researchers in the natural language processing (NLP) field have found impressive results in deploying text mining methods to (semi)-automated tasks such as defining, discovering and extracting semantic relations between different kind of entities (e.g. medical). At the application level, semantic relations can support various NLP tasks requiring a (lightweight or heavyweight) interpretation of meaning. A key challenge is content analysis to organize, analyse and extract concepts from large amounts of data using different tools or text mining algorithms (e.g. MetaMap tool focused on biomedical text). Another challenge is text classification in order to define, for instance, entities types based on features sets (e.g. medical entities such as Disease or Drug). Moreover, many studies are based on semantic relations extracted from the biomedical data using different Question Answering (QA) systems (e.g. SemRep focused in MEDLINE citations). It can be said that research based on semantic relations assure an applicability on large scale regardless of the activity level to approach.

Biography:

Dr. Daniela Gîfu (Gender: female, 45 years old) is a senior researcher gr. II at the NLP-Group@UAIC-FII, Faculty of Computer Science, “Alexandru Ioan Cuza” University of Iasi (UAIC), Romania and the Institute for Theoretical Computer Science, Romanian Academy - Iaşi branch. She has received a PhD in Computer Science in 2016 and a PhD in Philosophy in 2010, both of them centered on the study of public discourses (political and journalistic) from different approaches. Her main research interests include semantic web, services computing, machine learning, etc. She has (co-) authored several books and journal articles, and more than 150 conference and journal papers, many of them focused on problems of semantic and pragmatics analysis. She was a member of the organizing and scientific committees in international events such as IJCAI, JCDL, LREC, ICOSST, NLPMJ, MFOI, FTRA AIM, etc. and has reviewed for numerous journals (Computational Linguistics – ACL; Bentham Science Journals; International Journal of Speech Technology; Journal of Politeness Research: Language, Behaviour, Culture; Scientific Bulletin of „Politehnica” University of Bucharest; International Journal of Computers Communications & Control; International Journal of Computers & Technology; Society of Electronics and Computer Engineering Journal; Computer Science and Information Technology; CEITJ; Avanti Publishers, etc.).
More information: http://profs.info.uaic.ro/~daniela.gifu/.

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Dr. Kamran Iqbal

Professor of Systems Engineering University of Arkansas, Little Rock, Arkansas

Topic: Muscle Synergy Hypothesis and its role in the Execution of Human Voluntary Movement

Abstract:

Muscle synergies have been hypothesized as primitive building blocks of human motor behavior. In the motor coordination tasks performed as part of everyday living, the neural control signals from the central nervous system (CNS) synergistically activate specific muscle groups to suit the task requirements. These task-specific and synergistic muscle controls are termed as motor primitives (MP) or muscle synergies (MS).These motor primitives usually develop from a neonatal stage to toddler's stage and are encoded into the spinal cord during skills acquisition. The hypothesis ofmuscle synergies is quite significant since it implies that the CNS uses a lower dimensional control space to coordinate and manage the kinematic and actuator redundancy and the enormous degrees of freedom existing in the musculoskeletal structure of the body. Muscle synergies can be extracted from the myoelectric recordings made from peripheral nerves using surface electrodes. Statistical methods such as principal component analysis are commonly employed for this purpose. Electromyography (EMG) patterns underlying movement can be used to detect movement abnormalities and gait disorders. Muscle synergies have been employed in clinical settings for diagnostics, rehabilitation, design of prosthetic devices, and personal mobility technologies. This talk will give an overview of muscle synergies, processing of myoelectric signals for extraction of MS, and the clinical and engineering applications of MS.

Biography:

Prof. Kamran Iqbal obtained his BE in Aeronautical Engineering from NED University, and his MS and Ph.D. in Electrical Engineering from the Ohio State University. He has since held academic appointments at College or Aeronautical Engineering, GIK Institute of Engineering Science and Technology, Northwestern University, California State University at Fullerton, University of California, Riverside, University of California, Irvine, and University of Arkansas at Little Rock where he currently serves as Professor in the College of Engineering and Information Technology.

Dr. Iqbal’s research interests include neuro-mechanics of human movement, myoelectric control of prostheses, biomedical engineering and signal processing, and computational intelligence. Dr. Iqbal is a senior member of IEEE, and member of IET (UK), ASEE, and Sigma Xi. He can be reached at kxiqbal@ualr.edu.

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Dr. Javier Poncela Gonzalez

Associate DeanFaculty of Telecommunications (ETSIT)(University of Malaga), Spain

Topic: Challenges in Underwater Acoustic Networks

Abstract:

The realms below the surface of the seas are a place scarcely utilized. The physical properties of the medium make electromagnetic communications useless for medium distances. Acoustic propagation is needed to reach distances beyond a few tens of meters. However, the bandwidth available is quite constrained, the transmission requires more power, and the channel causes significant complications, such as fading, Doppler effects and variation of the propagation speed. Transmission of data under these conditions is quite demanding, even more for quasi real time video where several other factors contribute to the overall performance. The choice of control access mechanism is one of these factors, causing an impact in the end-to-end delay, as well as on the maximum data rate that can be achieved. The scheduling of transmissions from the different nodes can be optimized by solving an NP problem. Another factor to take into consideration is the use that images will be put to. It can be shown that the Quality of Experience (QoE) can reach values in the medium range if proper compression parameters are selected. However, current ITU video assessment models, such as G.1070, can’t be applied to these video transmissions, and new models must be derived.

Biography:

Dr. Javier Poncela received the M.Sc. degree in telecommunication engineering from the Polytechnic University of Madrid, Spain, in 1994 and the Ph.D. degree from the University of Malaga, Spain. He worked in Alcatel Spacio before joining the University of Malaga at the Communication Engineering Department. He has actively collaborated with multinational companies (Nokia, AT4 Wireless, Ingenia) on formal modeling and system testing in Bluetooth, UMTS and satell ite systems. His research interests include underwater communication systems, methodologies for efficient development of complex communications systems and analysis of QoS over heterogeneous networks.

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Dr. Harin Sellahewa

Interim Dean of School of Computing University of Buckingham Buckingham, UK

Topic: Biometric Authentication for Wearable’s

Abstract:

Wearable technology has seen a substantial growth over the last decade, largely due to the improvements in technology and the realization of its potential applications. Wearable technology includes devices such as smart watches, smart eyewear, smart bands, smart fabrics, and smart jewelry. These devices are having a significant impact in the fields of healthcare, fitness and sports, education, entertainment, corporate enterprise, military, and law enforcement. One of the most important features of this technology is the communication capability it has with the wearer as well as other devices. Wearable devices are now equipped with sensors such as touch screen, 3-axis accelerometer, gyroscope, and electrocardiogram (ECG) and electroencephalogram (EEG) monitors.

Biography:

Harin holds a BSc in Information Systems and a DPhil in Computing, both from the University of Buckingham. During the latter stages of his DPhil at Buckingham, he worked on the EU-funded SecurePhone project as a Research Associate, which was followed by a post-doctoral position at Gray Cancer Institute (now the Gray Institute for Radiation Oncology & Biology, University of Oxford). He rejoined the Department in 2008 to continue his research in biometrics and automated biomedical image analysis and to assist in the supervision of research students. Harin is currently a Reader in Computer Science and he teaches Fundamentals of Computing, Image Processing, Mobile Applications Development, Software Engineering and Software Project Management at both undergraduate and postgraduate level. He is Programme Director for the BSc in Computing and Software Entrepreneurship, and Senior Link Tutor and Research Officer for SSST Collaboration.

Harin holds a BSc in Information Systems and a DPhil in Computing, both from the University of Buckingham. During the latter stages of his DPhil at Buckingham, he worked on the EU-funded SecurePhone project as a Research Associate, which was followed by a post-doctoral position at Gray Cancer Institute (now the Gray Institute for Radiation Oncology & Biology, University of Oxford). He rejoined the Department in 2008 to continue his research in biometrics and automated biomedical image analysis and to assist in the supervision of research students. Harin is currently a Reader in Computer Science and he teaches Fundamentals of Computing, Image Processing, Mobile Applications Development, Software Engineering and Software Project Management at both undergraduate and postgraduate level. He is Programme Director for the BSc in Computing and Software Entrepreneurship, and Senior Link Tutor and Research Officer for SSST Collaboration.

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Dr. Helen Crompton

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National Speakers

Dr. Jamil Ahmad

Professor and Vice Chancellor Kohat University of Science and technology Kohat, Khyber Pakhtunkhwa

Topic: Bio Medical Signal Processing using Artificial Intelligence

Abstract:

This talk is intended to present various AI techniques for better comprehension of biomedical phenomena. There are problems which are impossible to solve with traditional and classical methods related to human nature but can be vastly worked upon by using human intelligence..

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Dr. Bhawani Shankar Chowdhry

Meritorious Professor (BPS 22) and Dean Faculty of Electrical, Electronics and Computer Engineering Mehran University of Engineering & Technology, Jamshoro, Pakistan

Topic: Moving Towards Reliability-Centered Maintenance: Condition Based Monitoring as an Example

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Dr Muhammad Awais Akhter

General Manager(Technical) Center of Excellence in Science & Applied Technologies Government of Pakistan

Topic: Subpixel Analysis of Hyperspectral Remote Sensing Images

Abstract:

Remote sensing, at the most common level, refers to the study of acquiring information about an object without establishing a physical contact with it. The branch of remote sensing which deals with the study of objects and areas on the Earth’s surface using aerial sensors is known as Earth observation. Crop health, land cover estimation, water quality, forest growth, mineral mapping, and target detection are a few examples of its application.

In Earth observation, reflected or emitted radiation from the objects on the Earth’s surface are captured as images in various regions of the electromagnetic spectrum. Since the reflected or emitted radiation varies with structural, chemical, and physical properties of objects so these spectral images are used to detect and discriminate different objects on the Earth’s surface. The latest image modality used by modern world these days is hyperspectral image. Hyperspectral images contain hundreds of spatially aligned images acquired at different wavelengths. Each pixel in these images represents a vector which is a response at different wavelengths.

With all of its advantages, fine spectral resolution of hyperspectral images does not mean a solution to all problems of Earth observation. Since hyperspectral sensors acquire data at high altitude, a pixel of a hyperspectral image may contain multiple land cover types e.g. buildings, roads, grass, trees, soil, water, etc. This mixed pixel presence generates a need for subpixel level analysis of hyperspectral data. To fulfill this requirement, spectral unmixing techniques have been developed. These techniques first identify the dominant constituent materials within a hyperspectral image and then estimate their presence in each pixel.

This talk presents a discussion on spectral unmixing procedure and its solution using geometrical methods. At the end of the talk, different hyperspectral image based civilian and military applications will be discussed.

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Dr. Tahir Jameel

General Manager (Technical) Center of Excellence in Science & Applied Technologies Government of Pakistan
Topic: Role of Testing in SDLC

Abstract:

The talk focuses Software Testing basic concepts, its significance and role in software development life cycle. Furthermore, an introduction of research areas in software testing shall be presented. A few recent trends shall be presented. The aim is to introduce the potential research area and a motivation for students to work in this area.

  • Software testing?
  • Significance in software industry
  • Industrial Bugs
  • Resources required to perform testing
  • Fast, cheap and good : The Triangle
  • Role of testing in SDLC
  • Code and Fix
  • Waterfall
  • V-Model
  • Limitations of software testing
  • Industrial practices
  • Potential research areas
  • Input generation
  • Symbolic execution
  • Test automation
  • Test oracles
  • Metamorphic Testing
  • Conclusion
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Dr. Syed Waqar ul Qounain Jaffry

Assistant Professor University of The Punjab
Topic: Conducting Science using Computational Modelling and Simulation

Abstract:

Over the time the world is becoming more and more complex place to liveand to understand this complex system in its totality is no more a task of human mind alone. To this we need computational techniques to represent this complex system and computational power to observe its behaviour in different scenarios. Computational modeling and simulation(CMS) helps in representing and augmenting our understanding of the world around us. So it has changed the way we conduct science. In this talk we will briefly discuss how the CMS has helped us to engage in new form of thought experiment and to create new kind of theories which has enhanced the scientific methods through computational rigour.

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Prof. Dr. Shahid Khattak

COMSATS Institute of Information Technology,Abbottabad, Pakistan.
Topic: Towards A Fully Automated Car Parking System

Abstract:

Currently, payment at most car parking-lots is carried out in the following manner: a ticket machine at entrance prints a ticket with a bar-code for each car entering the parking-lot. This ticket is later scanned at a payment terminal to determine the amount to be paid. The procedure can be automated using the face detection and recognition technology. This automation can help with the issue of ticket loss/car theft. This talk intends to describe an automated car parking system. Proposed system consists of a camera installed at the entrance/exit of the parking-lot. Frames are continuously acquired by the camera. If there is a detected face, it is registered in the database. When a driver is leaving, face image is captured again at the exit of parking-lot and compared in the database to conclude the identity.

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Prof. Dr. Pardeep Kumar

Associate Professor, Department of Computer Systems Engineering, QUEST Nawabshah, Pakistan.

Topic:The IoT Based Future Internet

Abstract:

Things once considered as ingredients to the Sci-Fi movies are quickly becoming a reality. All the physical and virtual objects around us would be connected with each other through Internet; making it as Internet of Things (IoT). Hence, IoT is an integral part of the ‘future Internet’ that counsels individuals, public and private organizations, research and educational institutes about how the ‘smart things’ can be active participants in business, information and social processes by letting us understand how the life would change when things, homes and cities become smart. These ‘smart things’ are expected to exchange/process the sensed data, while reacting autonomously to the events with or without any human intervention and self-configuring themselves. The application domain of IoT is spreading out over the time. To name a few, IoT would revolutionize fields such as telemedicine (or the future ‘medical tourism’), irrigation, smart buildings & industries, ecommerce, auto vehicle systems, monitoring & surveillance, etc. However, all these charismatic and pleasing aspects of IoT can be envisioned in reality only if a ‘well-defined’ standard can be constituted that could deal with the complexity, size, security, privacy, time, cost, peaceful co-existence and better integration among the things/objects, and the socio-economic implications. This talk aims at discussing, among others, the IoT applications, architectures and its enabling technologies such as WSNs, WMNs, MANETs, RFID, WPANs, LiFi, etc. that could deal with the mentioned challenges.

Biography:

Dr. Pardeep Kumar is currently working as Associate Professor and Head of the Computer Systems Engineering Department, Quaid-e- Awam University of Engineering, Science & Technology (QUEST) Nawabshah, Pakistan. Additionally, he is also working as Coordinator Students Attendance Cell at QUEST Nawabshah. He completed his PhD from Berlin, Germany in 2012. Earlier he did his Bachelor of Engineering (B. E.) in Computer Systems and Master of Engineering (M. E.) in Communication Systems and Networks from Mehran University of Engineering and Technology Jamshoro, Pakistan in 2001 and 2004 respectively. Dr. Kumar joined QUEST in January, 2004 and later was granted PhD scholarship from HEC Pakistan and DAAD Germany. During his PhD research, he designed and developed a novel MAC protocol for wireless sensor networks. Dr. Kumar has worked with several European Union projects such as WISEBED, DES-Testbed, FeuerWhere & Building Commissioning (ZESAN project). His research interests are in the fields of wireless communication, wireless sensor networks, IEEE 802.15.4/ZigBee, Internet of Things (IoT) & Future Internet, communication protocols, energy and delay bound networks, etc. Dr. Kumar has authored more than 45 research publications in reputed journals and conferences around the world including a book chapter. Currently he is supervising several PhD and Master students in wireless communication and networking domain. He has been the organizer, paper presenter, session chair, reviewer and technical program committee member for several conferences and workshops around the world. He has visited several countries including Germany, France, USA, Australia, Italy, Switzerland, Czech Republic, Egypt, Slovenia, etc. to share his research work. Dr. Kumar is also a chief organizer of the International Conference on Modern Communication & Computing Technologies, MCCT (http://mcct.quest.edu.pk). Dr. Kumar has organized several workshops and seminars including the series of Indigenous On-Campus Training (IOT) Workshops at QUEST Nawabshah for the officers of management and administration cadre in the capacity of Workshop Coordinator and Director Continuing Education.

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Dr. Tariq Mahmood

Assistant Professor at the prestigious Institute of Business Administration (IBA), Karachi Pakistan.

Topic: How Can the BlockChain Technology Aid Big Data Analytics?

Abstract:

The blockchain has achieved widespread acceptance in major corporate domains due to its secure distributed ledger technology. As these applications grow, three questions of blockchain usage for big data analytics become critical: How can blockchain assist analytics, e.g., in fraud detection or suspicious activity detection? How much big data can be stored on the blockchain? What can be a possible architecture for the marriage between blockchain and big data analytics? This talk will focus on answering these three questions, based on concrete research. The major take-away for the participants is a clear architecture to use blockchain for big data analytics.

Biography:

Dr. Tariq Mahmood is an Assistant Professor at the prestigious Institute of Business Administration (IBA), located in Karachi, Pakistan. He has 10 years of professional and research experience in the domains of Big Data Analytics, Data Science, Machine Learning, Deep Learning, Business Intelligence, Data Warehousing and Advanced Analytics. Dr. Tariq has also conducted numerous hands-on workshops in these domains, in both academia and industry, notably for Pharmaceutical, Telecommunications, Advertising, Energy, Healthcare, Financial, Military (Pak Navy and Pak Army) and Government sectors. Currently, he is coordinating the first-ever diploma for Big Data Analytics in Pakistan at IBA (https://cict.iba.edu.pk/BigDataAnalytics.php). Dr. Tariq is a member of the research committee at IBA, which focuses on enhancing research and maintaining linkages with the industry.

Dr. Tariq also has 8 years of industrial experience in aforementioned domains: 1 year in Vectracom (https://www.vectracom.com/) as Head Mobile Services Analytics, 5 years in Nexdegree (https://nexdegree.com/) as Chief Data Scientist for Big Data and 2 years in CodeX (https://codexnow.com/) as Project Director Big Data solutions. At Nexdegree, Dr. Tariq’s current research interests are on designing intelligent big data infrastructures for integrating big data variety of OSINT data, adaptation of analytical outputs obtained through big data, and using auto-encoders and recurrent neural networks in deep learning to solve several concrete real-world problems. He heads the Big Data Analytics Laboratory (BDA-LAB) at IBA, which focuses primarily on solving the BDA problems facing the local and international industries. Dr. Tariq has 13 recognized journal publications and 30+ conference publications to his name. Detailed profile information can be found here: https://www.linkedin.com/in/dr-tariq-mahmood-717b7b28/

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Dr. Salman A. Khan

Topic: Use of Evolutionary and Swarm Intelligence algorithms for wind farm layout design: Current status and challenges.

Abstract:

In recent years, natural computation has received notable attention in the domain of renewable energy. Evolutionary and swarm intelligence algorithms, which are an integral part of natural computation, have been extensively applied to solve problems in a variety of disciplines. One contemporary research problem where the said techniques have been used is the wind farm layout design. The problem is treated as a complex optimization problem consisting of number of design objectives and constraints. Different variations of this problem have been studied using several natural computing techniques. This presentation provides an overview of the application of evolutionary computation and swarm intelligence techniques to the wind farm layout design problem. Various issues associated with the problem are highlighted, and challenges and opportunities are identified.

Biography:

Dr. Salman A. Khan received BS and MS degrees in computer engineering from King Fahd University of Petroleum and Minerals, Saudi Arabia in 1996 and 1999 respectively, and a PhD in Computer Science from University of Pretoria, South Africa in 2009. He is an associate professor of computer science at Pakistan Air Force – Karachi Institute of Economics and Technology (PAF-KIET). Prior to joining PAF-KIET, he held academic positions in universities in the Middle East. He was also associated with Computer Science Department at University of Pretoria as an Extraordinary Senior Researcher from 2011 to 2017. He has over 60 research publications in impact factor and peer-reviewed journals, reputed conferences, and book chapters. He has served as a researcher and consultant in various research projects in the Middle East. He has supervised/co-supervised several MS and PhD thesis in the Middle East and South Africa. He is among the top 2 % reviewers in the world according to Publons, and is a regular reviewer for several leading journals from IEEE, Springer, Elsevier, and other reputed publishers.

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Dr. Muhammad Atif Tahir

Topic: Recent Advances in Multi-label Classification.

Abstract:

Multi-label classification is a challenging research problem in which each instance may belong to more than one class. Recently, a considerable amount of research has been concerned with the development of ‘‘good’’ multi-label learning methods. Despite the extensive research effort, many scientific challenges posed by e.g. highly imbalanced training sets and correlation among labels remain to be addressed. In this talk, I will discuss recent advances in Multi-label Classification and importance of these multi-label classifiers in Image / Video Retrieval, Social Media Classification and Bioinformatics.

BIOGRAPHY:

Muhammad Atif Tahir received his PhD from School of Computer Science & Engineering at Queens University, Belfast, UK, MSc in Computer Engineering from King Fahd University, Dhahran, KSA, and BE in Computer Systems Engineering from NED University of Engg, and Tech., Karachi, Pakistan. He is currently working as Professor in Computer Science at National University of Computer and Emerging Science, Karachi Campus. Before joining FAST, he worked as Senior Lecturer at Northumbria University, UK and Research Fellow at Surrey University, UK. His main research is in Machine Learning & Combinatorial Optimization Techniques with applications in image / video retrieval, cancer classification, surface inspection, bioinformatics, multi-label classification, and face recognition. He has authored and co-authored more than 60 publications in top quality journals and conferences including PAMI, IEEE Transactions on Multimedia, ICCV. He is a member of IEEE, SUN Certified Java Programmer and Certified Ethical Hacker.

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Prof. Engr. Dr. Hyder Abbas Musavi

Dean Faculty of Engineering, Science and Technology, Indus University.

Topic: Towards the Evolution of 7G Wireless Communication Systems.

Abstract:

This talk focuses on 7G which is a way to demystify technologies beyond 5G. Although it is agreed that 5G is potentially an open cluster of technologies and systems providing a unifying umbrella and as such anything can fall under nevertheless marketing will need a 7G as soon as 5G will be deployed and researchers will have to mark the novelty of what they will be working on. Whilst 5G should be able to accommodate different types of networks (technologies), 7G will be able to take the lead to aggregate them to satisfy needs arising in a dynamic way. Many of the cellular devices connected nowadays are machines (IoT) rather than people, with the rise of Smart Homes, Smart Building and Smart Cities, so 6G will include increased demands for machine-to-machine communications, including robotic and autonomous drone delivery and transport systems. The Internet-of-Everything (IoE) is a related development. Other trends predicted for 7G include Ultra-dense cell networks, Reconfigurable Hardware, Millimeter Waves for user access, enhanced Optical-Wireless interface, Networked VLC, Intelligent Networking and technologies to enable Full Immersive Experience for users. Future 6G technologies will be easier to upgrade to, with cloud-based resources and software loads. To do that the 6G network will need to be an autonomous system, able to learn and make prediction, develop a convincing plan and negotiate it with a variety of stakeholders. 7G will become a reality beyond 2035, that is in the right timeframe when we expect Artificial Intelligence to match our own and autonomous systems to live in a symbiotic relation with us.

BIOGRAPHY:

Professor Dr. Engr. Sayed Hyder Abbas Musavi is PhD and ME in Telecommunication Engineering under HEC Scholarship and B.E. in Electronics Engineering from Mehran University of Engineering and Technology. He is currently serving as Dean Faculty of Engineering Science and Technology Indus University Karachi. Previously he was engaged as Chairman Department of Electrical and Electronics Engineering Hamdard University Karachi. In past he has served as Professor and Principal at Petromanan Institute of Ministry of Information Technology and Telecommunications, Government of Pakistan at its various campuses for more than 10 years and had also remained Executive District Officer IT (EDO-IT) District Government Larkana. He has attended numerous international conferences as invited speaker. He is on review board of various impact factor international journals. He has served as Head QEC, Coordinator research activities, Coordinator PEC CPD activities, Coordinator IEEE and IEEEP. He is member of numerous national and international societies including member IEEEP Karachi local council, IEEE, IEEE Computer society, IEEE Signal Processing Society, IEEE Devices and Circuits Society, IEEE Communications Society etc. He was General Chair in IEEE ICIEECT 2017 held @ Karachi from 5 to 7 April 2017. He is author of more than 50 research articles.

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