3rd International Conference on Computing & Information Sciences - [ICCIS]

College of Computing & Information Sciences (CoCIS) successfully organized 3rd International Conference on Computing & Information Sciences [ICCIS-2019] at Karachi Institute of Economics & Technology, Main Campus on 3 & 4 April, 2019.

The aim of ICCIS-2019 was to provide a forum to present new research and share results of the emerging technologies in the fields of computing and information sciences.

The National and International keynote speakers included Facebook Technical Program Manager Mr. Mohammad Vakil from USA, Bahrain University's Professor Dr. Nasser Metwally from Bahrain, Habib University Associate Dean Dr. Mohammad Shahid Shaikh, FAST University Dean Dr. Muhammad Atif Tahir and Muhammad Ali Jinnah University President Dr. Zubair A Shaikh.

More than 20 universities from across the country participated in the conference including Karachi's FUUAST, NED University, Sir Syed University and Jinnah University for Women, UMT Lahore, PMAS Arid Agriculture University, Rawalpindi, National College of Business Administration and Economics, Rahim Yar Khan FAST-NUCES, Islamabad, Quaid-e-Azam College of Engineering and Technology and COMSAT, Sahiwal.

A total of 72 research paper abstracts were submitted in the two-day conference of which, 20 papers were selected for the final presentation.

In his opening address, KIET President Air Vice Marshal (Retd) Tubrez Asif said he was confident that the forum would help provide a bridge between the academia and the industry. He said that the quality papers were presented and the plenary sessions were educative and brought forth new ideas and information.

Sindh Higher Education Commission Universities and Boards Department Secretary Mr. Muhammad Riazuddin was the chief guest of Opening Ceremony. He expressing keen interest in the conference appreciated the efforts of the researchers and students.

The Chief Guest of the conference closing ceremony was Dr. Shariq Khoja (CEO, Tech4life). He Appreciate the efforts of KIET for providing the platform to the students, faculty and researches.

The Event was closed by Chair, Technical Program Committee Dr. Salman Ahmed Khan. He thanked all the Guest, Keynote Speakers, Participant and he appreciates the efforts of organizing committee and Technical committee for the successful conference.

Keynote Speaker

Mr. Muhammad Vakil


Talk Title: Technology Innovation in Emerging Markets

This keynote will articulate the need for a thriving innovation engine for emerging markets. It will shed light on what are the key ingredients required to spur innovation that solves problems, improves lives of people, and fuels the economic engine of emerging economies. It will help us understand how these ingredients work and blend together to create the magic of innovation learning from other parts of the world. Furthermore, this talk will also delve into observed trends in various technologies considering the future we are heading towards.

Dr. Nasser Metwally

University of Bahrain

Talk Title: Classical vs. Quantum information and application in Smart cities

I show the relationship between handling information from two different perspectives; classical and quantum. This comparison show that IT, computer Science, mathematics and physics are integrated sciences. I review some basic tools that are used in computations and their corresponding in the quantum domain. I introduce an application that is based on the main principles of quantum mechanics. Finally, I will discuss the possibility of secure communication via freezing the travelling information between any two users in a quantum network.

Dr. Ahmad Kamil Bin Mahmood

Universiti Teknologi PETRONAS

Talk Title: How can a 'Digital Twin' Helps in Optimizing the Oil and Gas Pipeline Infrastructure

The pipeline infrastructure has reached over three million km globally and the investment continue to grow at about $40 billion a year for expansion and maintenance of the assets. The aging infrastructure, IT systems complexity and capabilities to leverage growing amounts of data continue to be challenging as it is estimated that less than 25% of the data generated for any given pipeline is used to formulate data-driven decisions.

Big data analytics (BDA) and machine learning (ML) capabilities has been deployed quite substantially to reduce downtime and potential for human errors in the life cycle of a pipeline operation. Such analytics rely on the conceptual understanding of big data, framework, infrastructure and physical execution of these systems. This discussion is intended to explore the practical aspects of implementing the technologies as well as the issues and challenges of big data namely the velocity, volume, veracity and variety in managing the pipeline integrity for future research.

Dr. Mohammad Shahid Shaikh

Associate Professor & Associate Dean,
Habib University, Pakistan.

Talk Title: Optimal Control and Reinforcement Learning: Points of Convergence and Divergence

Optimal control (OC) is concerned with finding control laws for dynamic systems which achieve the desired control while optimizing a cost or reward function. Optimization is a unifying theme between optimal control and machine learning (ML) as much of ML deals with making a learning agent behave in such a way as to either maximize a reward criterion or minimize an error criterion. This is especially true for reinforcement learning (RL) where the learning agent takes actions to maximize a well-defined cumulative reward.

Reinforcement learning has been successfully used for developing programs that learn to play certain board games, such as Backgammon, at expert or even champion level. It has come into more prominence recently due to spectacular successes of Alpha Zero which learns to play Chess, Shogi and Go by playing against a copy of itself.

In this talk, we will give a general overview of optimal control and various techniques for solving optimal control problems. This will be followed by an overview of reinforcement learning along with a discussion of the type of problems for which this technique is suitable.

As Dynamic programming–and Bellman's equations which arises from the application of DP – provide a common framework for solving OC as well as RL problems, a portion of the talk will be devoted to algorithms for solving to Bellman's equation.

Dr. Muhammad Atif Tahir

Fast University, Pakistan

Talk Title: Recent Advances in Multi-label and multi-target learning & Application in Video Surveillance.

Multi-label and Multi-target learning are challenging research problems due to the fact that each example may belong to a varying number of classes and targets respectively. This problem can be further aggravated by high dimensionality and complex correlation among labels. In this talk, I will discuss research problems in these areas including state of the art techniques. I will also discuss some recent contributions of our research group at FAST NUCES, Karachi Campus in these areas with applications in image / video retrieval, text retrieval etc.

Dr. Zubair A Shaikh

Mohammad Ali Jinnah University, Pakistan

A recognized and innovative professional having vast experience as a Senior Administrator, Academician, Researcher, and IT / IS consultant for large scale complex business problems, particularly related to E-Governance, Educational Planning, IT and Technical & Vocational Education.

He graduated in Computer System Engineering and completed his MS and PhD from Computer Sc., New York, USA.Currently he is President of Mohammad Ali Jinnah University. He worked as IT consultant insome National & International organizations and also involve into Designing, planning and management of IT institutions, and offshore software organizations. His primary research interest is Ubiquitous Computing, Multimedia & Graphics, Knowledge Management, Mobile &Adhoc Networks, and E-Health, E-Education and Learning and Teaching theories.

He worked on several projects with USAID, CIDA, World Bank and EU. He developed several policy and strategic documents on Educational reforms with and without technology.