Our Speakers

Dr. Mohammad Faizal Ahmad Fauzi

Dr. Mohammad Faizal Ahmad Fauzi

Associate Professor,
Multimedia University, Malaysia

Title
Digital Pathology for Cancer Diagnosis and Prognosis

Dr. M. S. Sricharan

Dr. M. S. Sricharan

Senior Consultant,
Wipro Technologies, India

Title
Recent trends in Software Defined Networking

Dr. M. Saravanan

Dr. M. Saravanan

Solution Architect,
Ericsson Research, India

Title
Exploring the use of IOT technologies to create Smart Water and Energy environments

Mr. Senthil-Nathan Palanivelu

Mr. Senthil-Nathan Palanivelu

Vertical Head,
Renault Information Systems, India

Title
Humans Vs Machines - Can machines learn and do better than Humans?

Mr. Sathya Narayanan

Mr. Sathya Narayanan

General Manager,
Ford, Chennai

Title
Smart mobility: How tech is transforming transport

Dr. G. Subrahmanya VRK Rao

Dr. G. Subrahmanya VRK Rao

AVP-Technology,
Cognizant Technology Solutions, India

Title
Technology and Innovation for Smart Environment

Abstract
Digital pathology is the management and interpretation of pathology information in a digital environment that enables better, faster and cheaper diagnosis, prognosis and prediction of cancer and other important diseases. With the advent of whole slide imaging, the field of digital pathology has exploded, and is currently regarded as one of the most promising avenues of diagnostic medicine. Histopathological analysis of tissues has also been gaining a lot of interests as a result; developing computer algorithms to assist pathologists from cell detection and counting, to tissue classification and cancer grading. The introduction of such automated algorithms and systems will enable the pathologists to channel their much needed medical expertise in other important work. In this talk, we will share our work on the detection, analysis and grading of various cancers. These include glioblastoma and metastases classification in neuropathology intraoperative diagnosis, follicular lymphoma grading, prognostic reporting of p53 expression, breast carcinoma detection and grading, as well as tumor budding detection in colorectal cancer.
Abstract
Software-Defined Networking (SDN) aids to reduce IT costs and accelerate application deployment and delivery through policy-enabled workflow automation. SDN achieves the above stated objectives by converging the management of network and application services into centralized, extensible orchestration platforms that can automate the provisioning and configuration of the entire infrastructure. The result is a modern infrastructure that can deliver new applications and services in minutes, rather than the days or weeks required in the past. The talk will focus on the recent trends in Software Defined Networking and its likely impact on the telecommunication industry.
Abstract
As the world population increases at a steady rate, providing clean water to the masses in an efficient manner is one of the biggest challenges faced in the modern era. Controlling the flow of water so that it doesn’t go to waste is another challenge. Water flow is generally managed through locks and manually controlling these gates often turn out to be a long-winding process. Due to recent technological progress and increased connectivity in rural areas, a system of IoT devices proved to be alternative for managing the water grid. A new Low Power Wide Area Network (LPWAN) technology called LoRa is employed for the communication of these IoT devices. The LoRa devices can communicate within a range of 2-4 KMs while running on batteries that last for years. The sensors attached with a micro controller in the LoRa module will communicate to the cloud environment through the LoRa gateway. A web page provides the interface to the residents and to the authorities to gauge the water quality after analyzing the data using the prediction algorithm.
The last mile networking for Internet of Things (IoT) applications using short-range networks in ISM band such as IEEE 802.15.4 LoWPAN mesh, WiFi, Zigbee, Bluetooth Low Energy have been studied widely in the last few years with demonstration in many industrial scenarios. However, the reliable connectivity in last mile scenarios like individual energy meter in the home area network (HAN) connecting to the data concentrator in turn to the meter data management systems (MDMS) through WAN connectivity is considered to be a challenge in certain areas. There are emerging low power WAN (LPWAN) technologies such as LoRA, Wi-SUN, SiGFOX -all operating in unlicensed band, and NB-IoT - in licensed band, that can provide alternative long range connectivity option for realizing IoT networks. We highlight how emerging LPWAN technologies will help in building a reliable, low cost, low power, long range, last mile technology for smart energy metering solutions.
Abstract
How Machine Learning and Deep Learning (ML and DL) are transforming our daily lives without even most of us realising its happening!! What are the opportunities and possibilities AI offers Gen Z? Tools, Techniques and Trends in AI that will help you to conceptualise ML and DL, and the Road Ahead!

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