Our Speakers

Genome-wide accurate assignment of homoeallelic base-identities in allopolyploids

Abstract

The analysis of polyploid genomes is problematic because homeologous subgenome sequences are closely related. This relatedness makes it difficult to assign individual sequences to the specific subgenome from which they are derived, and hinders the development of polyploid whole genome assemblies. We have developed a next-generation sequencing (NGS)-based approach for assignment of subgenome-specific base-identity at sites containing homeolog-specific polymorphisms (HSPs): ‘HSP base Assignment using NGS data through Diploid Similarity’ (HANDS). We show that HANDS correctly predicts subgenome-specific base-identity at >90% of assayed HSPs in the hexaploid bread wheat (Triticum aestivum) transcriptome, thus providing a substantial increase in accuracy versus previous methods for homeolog-specific base assignment. HANDS enables rapid and accurate genome-wide discovery of homeolog-specific base-identity, a capability having multiple applications in polyploid genomics.


Separating the AI Hype from Reality

Abstract

Since its birth, the field of Artificial Intelligence has seen many ups and downs (springs and winters). Whenever AI is on the rise, there are claims that the field is on the verge of achieving human-level intelligence that would result in massive job losses and many professions including engineers, doctors and lawyers would be completely taken over by intelligent machines. On the other side of the spectrum, critics have been skeptical and have termed the field of AI as full of over-promises. The 2010s have seen another spring of AI where advancements in computing power and the presence of Big Data have resulted in exciting deep learning-based applications of AI in several fields. In a few cases, deep learning-based systems have been able to achieve human-level performance. Based on this surge in successful applications of AI, many tall claims have again been made about jobs being replaced by AI in the near future and how AI would control our lives. Making extensive use of articles published recently on this issue by AI experts, this talk summarizes the recent success of AI in different fields especially in the area of Text Analytics/Natural Language Processing (NLP) and aims to distill the reality from the hype


Making Data Analytics Successful in Pakistan’s Corporate Sector through Data Governance: A Complete Roadmap

Abstract

Nowadays, the importance of data analytics can hardly be underestimated in the corporate world. From a voluntary (and not necessary) application of basic statistics in 1990’s, data analytics has evolved to include descriptive, diagnostic, predictive and prescriptive analytics with powerful weapons such as SQL, Data Warehousing, Business Intelligence, Machine Learning, Big Data Analytics, IoT analytics, Deep Learning, and Data Visualization. This evolution, although indispensable, has brought with it a complicated dilemma. The “game” of data analytics is actually played between the business team, the analytics team and the IT team/department. The rules of this game have remained largely de-standardized in the last two to three decades. Consequently, a large number of analytics projects have failed in major industries with other problems such as improper resource utilization, monetary losses and un-optimized management practices. More recently, the field of “data governance” has evolved to standardize the data analytics process in corporate sector. This talk is all about data governance. It particularly targeted towards Pakistan’s corporate sector, for implementing a data governance initiative and ensuring the success of any type of data analytics activity. The core elements of the talk will focus on the rules for forming and managing a data governance council, methods for implementing the governance at the grass root level in the industry, and selecting the appropriate tools for coordinating governance activities. The talk will terminate with a comprehensive roadmap for implementing governance and useful corresponding tips to ensure success of data analytics.


Data Science: Current and Future Challenges

Abstract

Recent times have seen tremendous advances in Artificial Intelligence and Machine Learning to extract hidden patterns, trends and insights to help support decision-making. Most of these algorithms present new challenges to the community and hinder the development of advanced solutions to solve complex problems. The presentation will describe some of these challenges using case studies, and explain the advantages and limitations especially impacting the future of this exciting domain of data science.


The IoT Based Future Internet

Abstract

Things once considered as ingredients to Sci-Fi movies are quickly becoming a reality. All the physical and virtual things around us would be connected with each other through the existing Internet in near future; converting it to an Internet of Things (IoT). Hence, IoT is an integral part of the ‘future Internet’ that aims at counseling individuals, 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 around us 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. 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, challenges, architectures and enabling technologies.


Mr. Shahjahan Chaudhary

Abstract

Shahjahan Chaudhary is a tech entrepreneur and the current Director of National Incubation Center Karachi, a public-private partnership funded by Ignite and managed by a consortium of LMKT, HBL, PTCL, PPAF and NED University. He has previously been on the board of P@SHA (Pakistan Software Houses Association) and PeachNiche (T2F). A serial entrepreneur himself, Shahjahan is deeply interested in the interaction of technology, policy, and entrepreneurship to lift up the bottom 100 million of Pakistan.