Question

PhD candidates should provide an authentic personal statements to each of the five following questions/prompts reflecting on their own personal interest. In the event that any outside resources are used, resources should be cited in APA format. Submissions should be a maximum of 500 words or 125 words per question/prompt. It is best to respond to each prompt/question individually for clarity of the reviewer. Documents should be submitted in Microsoft Word format.

PhD IT

1. What are your research interests in the area((big data science)) of Information Technology? Why do you think it is important to research in this area?
2. Why did you select to pursue a program at ABC university instead of other institutions?
3. As an individual, what are your strengths and weaknesses? How will these impact you as a doctoral information technology student?
4. Where do you see the future of Information Technology heading?
5. How can obtaining a doctorate impact your contribution to the practices of information technology? Where do you see yourself after obtaining a doctorate from ABC university?

Answer 1

Answer:-

1)ans

There is a lot of research needed in every field...research is nothing but effort put to make our lives easier. I don't exactly know what research is being done around the world.

As an Analyst if you ask me investing in what research areas would make the life of an analyst easier?

1. Tools to handle big data  : A lot of potential for research here, because very few tools have the capability to handle data more than 1GB, in the current scenario when data is exploding from all sides it is very important to come up with new technologies which can handle huge data

2. Machine Learning - Data is changing, data is evolving, data is growing in such dynamic conditions you need scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions

3. Data Visualization - This is the part where we can actually get high with big data :P. Many of the visualization softwares available are too expensive, a lot of research can be done here to build an affordable visualization soft wares

4. Problem Definition - This may sound stupid but I feel this area has the highest potential in analytics. Everyone is wanting answers, but no one is asking good questions. As Einstein said "If I would given 1 hour to save the world, I would spend 55 minutes defining the problem". We need more and more tools/frameworks/processes which will actually help you to understand the problem, define the problem, ask the right questions, make the solution more transparent.

2)ans

Federal University of ABC (Portuguese: Universidade Federal do ABC, UFABC) is a Brazilian institution of higher learning based in Santo André, with operations in several municipalities in the ABC region, all in the state of São Paulo.

The chairman of the committee that formulated the proposal of the university was Luiz Bevilacqua, who became its second rector.

UFABC is the only federal university in Brazil with 100% of its professors holding Ph.D.s^[9]and, for the second consecutive year in 2011, emerged as the only university in Brazil with impact factor in scientific publications above the world average according to SCImago Institutions Rankings.

3)ans

Examples of Strengths

If you aren’t sure about your strengths, ask some of your friends or colleagues what they see as your best qualities. Refer to any written feedback you’ve received in the past from peers or managers.

Some examples of strengths include:

• Creative
• Patient
• Empathetic
• Determined
• Flexible/Versatile
• Honest
• Enthusiastic/Passionate/Driven
• Collaborative
• Disciplined/Focused
• Committed/Dedicated
• Respectful
• Innovative
• Attentive/Detail oriented
• Action oriented/entrepreneurial

Because we all have weaknesses but rarely want to admit to them, it’s best to begin with a truthful answer and build your script from there. Select an answer that a hiring manager would not consider to be essential qualities or skills for the position as well as qualities that you are actively improving.

Some examples of weaknesses include:

• Disorganised
• Self-critical/Sensitive
• Perfectionism (Note: this can be a strength in many roles so be sure you have an example of how perfectionism can be a problem to demonstrate that you’ve thought deeply about this trait)
• Shy/Not adept at public speaking
• Competitive (Note: Just like perfectionism, this can be a strength)
• Limited experience in a non-essential skill (especially if obvious on your resume)
• Not skilled at delegating tasks
• Take on too much responsibility
• Not detail oriented/Too detail oriented
• Not comfortable taking risks
• Too focused/Lack of focus

4)ans

Machine Learning:

This is a field of computer science that gives computer systems the ability to “learn” (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

The name machine learning was coined in 1959 by Arthur Samuel.^[2] Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, through building a model from sample inputs.

Internet of Things:

The Internet of Things (IoT) is the network of physical devices, vehicles, home appliances and other items embedded with electronics, software, sensors, actuators, and connectivity which enables these objects to connect and exchange data.

Each thing is uniquely identifiable through its embedded computing system but is able to inter-operate within the existing Internet infrastructure.

The figure of online capable devices increased 31% from 2016 to 8.4 billion in 2017. Experts estimate that the IoT will consist of about 30 billion objects by 2020. It is also estimated that the global market value of IoT will reach $7.1 trillion by 2020.

The term “the Internet of things” was coined by Kevin Ashton of Procter & Gamble, later MIT’s Auto-ID Center, in 1999.

Blockchain:

A blockchain, originally block chain, is a continuously growing list of records, called blocks, which are linked and secured using cryptography.

Each block typically contains a cryptographic hash of the previous block, a timestamp and transaction data. By design, a blockchain is inherently resistant to modification of the data.

It is “an open, distributed ledger that can record transactions between two parties efficiently and in a verifiable and permanent way”.[8] For use as a distributed ledger, a blockchain is typically managed by a peer-to-peer network collectively adhering to a protocol for inter-node communication and validating new blocks. Once recorded, the data in any given block cannot be altered retroactively without the alteration of all subsequent blocks, which requires collusion of the network majority.

Blockchain was invented by Satoshi Nakamoto in 2008 for use in the cryptocurrency bitcoin, as its public transaction ledger.

Quantum Computing

Quantum computers are incredibly powerful machines that take a new approach to processing information.

Built on the principles of quantum mechanics, they exploit complex and fascinating laws of nature that are always there, but usually remain hidden from view.

By harnessing such natural behavior, quantum computing can run new types of algorithms to process information more holistically. They may one day lead to revolutionary breakthroughs in materials and drug discovery, the optimization of complex manmade systems, and artificial intelligence. We expect them to open doors that we once thought would remain locked indefinitely.

Acquaint yourself with the strange and exciting world of quantum computing.

3D Printing

3D printing refers to processes in which material is joined or solidified under computer control to create a three-dimensional object, with material being added together (such as liquid molecules or powder grains being fused together). 3D printing is used in both rapid prototyping and additive manufacturing (AM). Objects can be of almost any shape or geometry and typically are produced using digital model data from a 3D model or another electronic data source such as an Additive Manufacturing File (AMF) file (usually in sequential layers). There are many different technologies, like stereolithography (STL) or fused deposit modeling (FDM). Thus, unlike material removed from a stock in the conventional machining process, 3D printing or AM builds a three-dimensional object from computer-aided design (CAD) model or AMF file, usually by successively adding material layer by layer.

3D printing or additive manufacturing is a process of making three dimensional solid objects from a digital file. The creation of a 3D printed object is achieved using additive processes. In an additive process an object is created by laying down successive layers of material until the object is created. Each of these layers can be seen as a thinly sliced horizontal cross-section of the eventual object.

3D printing is the opposite of subtractive manufacturing which is cutting out / hollowing out a piece of metal or plastic with for instance a milling machine. 3D printing enables you to produce complex (functional) shapes using less material than traditional manufacturing methods.

The term “3D printing” originally referred to a process that deposits a binder material onto a powder bed with inkjet printer heads layer by layer. More recently, the term is being used in popular vernacular to encompass a wider variety of additive manufacturing techniques. United States and global technical standards use the official term additive manufacturing for this broader sense, since the final goal of additive manufacturing is to achieve mass-production, which greatly differs from 3D printing for Rapid prototyping.

Robotics

Robotics is an interdisciplinary branch of engineering and science that includes mechanical engineering, electrical engineering, computer science, and others. Robotics deals with the design, construction, operation, and use of robots, as well as computer systems for their control, sensory feedback, and information processing.

These technologies are used to develop machines that can substitute for humans and replicate human actions. Robots can be used in any situation and for any purpose, but today many are used in dangerous environments (including bomb detection and de-activation), manufacturing processes, or where humans cannot survive. Robots can take on any form but some are made to resemble humans in appearance. This is said to help in the acceptance of a robot in certain replicative behaviors usually performed by people. Such robots attempt to replicate walking, lifting, speech, cognition, and basically anything a human can do. Many of today’s robots are inspired by nature, contributing to the field of bio-inspired robotics.

5)ans

ON THE evening before All Saints' Day in 1517, Martin Luther nailed 95 theses to the door of a church in Wittenberg. In those days a thesis was simply a position one wanted to argue. Luther, an Augustinian friar, asserted that Christians could not buy their way to heaven. Today a doctoral thesis is both an idea and an account of a period of original research.
A PhD is perhaps the most important degree in the world. It is the most valuable asset that an aspiring academician can have. PhD research will help to improve your abilities to understand and solve problems, increase your confidence, make yourself a better communicator and gain skills that may lead to a better job, even in many fields apart from academics. It is a foundation that can lead to the publishing of papers, awarding of grants and other kinds of recognition by your peers. Importantly, it is a UGC requirement for teachers in universities to be promoted to associate professor.  
The three PhDs that were awarded by MLCU at this year’s convocation were of very high standard, as evidenced from the comments of the examiners, all of whom were eminent academicians from other institutions. Each PhD was evaluated by at least three examiners. We are very pleased with the quality of the PhDs from MLCU, and the hard work that was put in by the candidates.
Most PhDs are economical to obtain. There is not much expenditure involved, and research fellowships and grants are available. Commitment, time and hard work are the main investments, and if you are willing to undergo the stress and effort involved, you will be well rewarded.
Working on a PhD is an indication that you are taking ownership of your professional life and taking responsibility for the development of your academic career. It is more important for you than for the institution you work for. MLCU may not be the purpose or even the passion of our lives, it is merely a vehicle in which we travel on one part of our life’s journey. What is most important, as Maslow has pointed out is self-fulfillment. That is the most worthy goal of all.