Yearend always comes with invitations for parties and events and usually student community gets more excited about the event. For me it had been and still is a time to evaluate and see how I did during last one year and what I will be doing in coming days. Mostly events like New Year, Ramadan, and Dil Hajj (festivals) are good reminders for us to evaluate and elevate ourselves.
When I look back it’s was a really a roller coaster year. Whatever we consider right from politics to business, Space to missing planes, and the thrill of Middle East democracy to wars. And to end with horrible incident of Peshawar and now Air Asia crash. There have been endless events that kept me surprising and teaching new lessons.
Personally I did couple of experiments like taking a ride of Stock Market, Starting a new PhD blog (could not contribute much), and at the end working on a cool product back home (may be starting a company soon ^^). All gave a huge learning into life and confidence to move ahead with force.
What I noticed is this year I spent too much time on thinking about my future and planning for it. I started doing a project back back home that turned on few of my friends and eventually we teamed up to give it a shape of complete product. I lost into it and forgot that year end makes some sense for me. Many friends sent invitation but I got to excuse them all (not something I would love to go) and also not looking for events to change something in life. I feel people empty in their lives need events like New Year and other to feel happy. You don’t need to agree here and also don’t jump into conclusion that I don’t have life lol. I had many event where either accomplished something or gain some remarkable benefit that I shared and enjoyed with the people I love. For me lately everything looks not worth, which not associated with any accomplishment or reminder. I feel that I did not do anything to move the clock to take me to next year, it just happen even if we don’t do anything then what is there to celebrate? I want to keep things real instead of just running with the peers.
I made a video at the beginning of 2014 I believe I said what all I have to say about these events. I am sharing it again as a reminder : )
To me 2015 is a striking year. I have been making a financial and technical base for a project that looks to take shape in early 2015. I am looking forward to enter into it with all force, passion and a great hope. I feel that this year I am going to change lot of things in my personal life, right from my career to place I live. I am constantly looking forward for a higher contribution to InI too, focusing on Research and PhD. I Pray Allah SWT to give me strength and make things easy.
With GATE 2015 round the corner. I recommend you to be focused and spend more time on GATE preparation. I also pray that you get a chance to live for your dreams. I wish could time to make a video to convey my good wishes for your GATE preparation and future.
Wish you all a great new year ahead. I believe you all will strike in it.
RESEARCH STATEMENT
Mohammed Abdul Hai Zahid ([email protected])
INTRODUCTION
My Research focus is on “High Performance Machine Learning” with emphasis on developing algorithms to analyze real time IoT sensors data and implement them on parallel and distributed systems. Working on high performance Machine Learning requires deep understanding of Machine Learning algorithms and detailed knowledge of parallel systems on which they are going to be applied. I have acquired these skills from my academic and industrial research careers. With my diverse skills and experiences, I plan to develop technology for addressing challenges in creating cost effective IoT enabled sensors for collecting useful information, Big Data Analysis of collected information, and Parallel Computing to bring technology to life.
PAST AND CURRENT RESEARCH
A. Machine Learning Algorithms for Phylogenetic Analysis (Bioinformatics)
My research during PhD had been on developing computationally efficient machine learning algorithms for analyzing and finding relationships between species. The study of relationship among species or genes with the combination of molecular biology and mathematics in known as Phylogenetics. My contributions were in genomic data collection of different species, developing customized machine learning techniques to analyze it. I developed and implemented cluster ensemble methods for making phylogenetic trees, combining different trees from different sources and research groups to make a tree of life.
During few experiments we found the phylogeny don’t always takes form of a tree, especially in viruses. After discussing with experts in phylogenetic studies we developed classification methods with overlapping classes to make phylogenetic networks. Later we also used ancestral divergence time and labeling to improve accuracy of the classification.
B. Machine Learning Algorithm Application in Medical Imaging (Industrial Experience)
Over the past seven years of my industrial career, I have gained expertise in application of machine learning methods with medical image reconstruction and implementing them on parallel computing architectures with thousands of cores to achieve best performance in market. To achieve best performance I focused on developing efficient data structures, adopting machine learning algorithms, efficient utilization of parallel resources such as computing cores and memory. I also gave an extensive effort towards quantitative evaluation and comparison of the final product.
During this research, I developed solutions to Parallel Imaging and Combining data from multiple
Interpolate the missing information using different machine learning algorithms. I developed and implemented a solution on parallel computing architecture, to reconstruct the image.
Another interesting work is related to combining similar information acquired by different sources into one. Due to the advancement in RF technology, these days MR data is acquired by large set of independent receive channels. This help in improving SNR and Parallel Imaging performance. However, processing the data received by multiple channels leads to increased memory and computational loads of reconstruction. I developed mathematical framework to reduce the redundancy and applied it using GPU to produce high SNR images in an acceptable time.
FUTURE RESEARCH PLAN
A. Internet of Things (IoT) and Cloud Computing Research
During last couple of years internet started taking a different direction with the advancements in research and production of IoT based chips that are highly power efficient and cloud computing capable. Now it looks possible to gather huge amounts of information using sensors, store and process it on cloud to extract pattern that are useful for big business houses as well as an individuals. When power efficient and communication ready chips are integrated with different sensors, they will change the way we take daily decisions and have a big impact on the life.
These advancements in sensor and communication technology come with greater challenges focusing on information filtering, storing data, and processing huge amounts of data collected from millions of sensors in real time. Every IoT application will have different challenges to be addressed and new algorithms to be proposed. For example, pulse sensors on a patient need to address the challenges of real time data transfer, storage and analysis. Whereas, a sensor deployed to detect available parking spot needs only an event based data transfer and storage, and when sufficient data is available, it can be used for different behavioral studies to improve quality of services.
I would like to develop sensors and big data analysis resources for supporting transportation, agriculture, mechanical industries (such as oil industry) and patient monitoring systems. The main goal of my research will be to address methods to generate useful date and patterns that can be used millions of users across the globe to improve their quality of life.
B. Machine Learning Research
In past, I have been solving problems based on machine learning where data was acquired using only on source or similar source. We also know important features in acquired data. In future, When we have multiple cameras for monitoring systems connected through internet and transmitting images and videos and text information to the could we will immediately face challenges in finding right information to be transmitted over the communication to reduce the traffic over communication network, storing and analyzing data. I would like to work on real time feature selection algorithms to address this issue. I also would like to explore event based data processing approaches for data selection and transmission.
When it comes to monitoring systems we acquire and transmit different data for analysis. For example a patients monitoring system data will have images and video data, pulse, temperature, heart rate monitoring sensors data in different format. We need to develop advance methods to analyze them together to help us finding right patterns accurately.
SERVICE TO UNIVERSITY
I wish to use my industrial and academic experience in Machine Learning, Parallel Programming and Software Engineering to contribute to the ongoing and potential research in Machine Learning and Big Data on IoT sensor data. I am willing to collaborate with other faculties and researchers to achieve the research goals and expectations of university. I wish to serve the department and university in translational research by bridging the gap between industry needs and academic goals.
Wish you a great year ahead too. I had the same feelings about celebrating a new year last night. Anyway I will give gate this year but I am really preparing for next year. Everything and everyone pushed me towards just getting in this year, but not me. Though steadfast at my decision, would like to know your opinion.
Happy new year.
Ameen
great inspiration for the celebration of new year -2015
pls make video for Phd also