I am passionate about developing AI based solutions to take education to every person in world for free, forever.
Welcome to my Personal and Academic profile. Looking for a PhD position in Computer Science.
Hi! I am Ankit. I am an innovation enthusiast looking for a PhD position in Computer Science. My general areas of interest are deep learning, intelligent agents, natural language processing & understanding, human-computer interaction, transfer learniing, cognitive science and reinforcement learning. My research focuses on generalizing learning for intelligent agents. I aim to be a key contributor in the development of generalized artificial intelligence and hope to experience the day when we can enthusiastically say: "Whoa! I didn't knew I was talking to an artificial agent. Amazing!"
I graduated with B.Tech in Computer Science from A.P.J. Abdul Kalam Technical University in 2015 and M.Sc. in Computer Science from South Asian University in 2018. I spent my final year of M.Sc. doing research on Natural Language Processing and Intelligent Agents.
CURRENT RESEARCH INTERESTS
I have been trying to build context-driven languistically developed, cognitive intelligent agent for some time. I find this an interesting challenge which, for me, involves a number of tasks starting from query classification, to intent and entity detection with a mechanism to dynamically save and build the cognitive context, and further retrieve these contexts to make decisions. At the end we need a conversational agent too with the capability to work on these contexts and formulate contextually correct responses. To improve on context development I believe, it may require a sentiment detection, sarcasm detection, global variable collection and many other such added contexts that can help in understanding the query and then responding to it with the best possible response. It has been a great challenge to build the cognitive part and a mechanism to save and access it. I am looking forward to new and more effective ways to deal with this problem.
Natural Language Processing
NLP is an integral dream of AI. We, as human, have always imagined AI's to converse with humans or other AI's in our day to day language with fluency and complete understanding. The taks in NLP involve solving the challenges that our current state of AI is facing in processing, understanding and using as a means of communication. I see NLP challenges as the most critical one's in terms of AI development for applications involving interaction of humans with AI. We humans have invariably developed a sense of context, thanks to evolution (if Darwin is right), and we use the context for not only differentiably understanding but also replying. Thus, I believe it is important to develop context based NLP solutions for the fantasized future of AI.
I have always believed it is a generalized learning that will take us closer to the dream of AI we all have been talking about. Transfer learning is one such task which allows us to reach a platform where an intelligent agent is able to perform multiple tasks while transfering its learning of one task to other. I have recently started working with this idea and I find it really interesing both theoretically and practically because its implications can be really wonderful.
HCI is the core of all the development that we are hoping or working for. We need to monitor and develop AI considering the human interaction requirements. An excellent AI with poor communication or usability for common human beings is as good a commerce student writing science exam. Therefore, we need to develop AI with human interaction and usability needs in perspective.
Reinforcement learning is at the core of learning. If Darwin is to believed to be right than reinforcement learning is what we have been doing ever since the unicellular organism appeared on Earth, 3.5 billion years ago. We can learn models with supervised and unsupervised learning but when it comes to development of a real, physically capable or at least an AI that works in a real environment, we will always need reinforcement learning. Some policies can only be learned from an active environment. Reinforcement learning for me is the ultimate learning that we will have to use in order to reac the Ai level anywhere clsoe to humans and perhaps beyond.
Cognition had a lot to do with the development of first perceptron model back in 1942. In past two centuries we have learned more about human cognition than we did in the billion years before that. Knowledge and development of cognition development and working gives us the idea about how human machine attempts to do any cognitive task. This in turn gives us an insight into what kind of architecture or algorithm do we need to build for a particluar cognitive task.
LONG TERM GOALS
QUALITY EDUCATION FOR ALL
I believe education is the fundamental right of all human beings. Knowledge is what out forefathers have passed on to us generations by generations. Looking at the current state of the world, it can be safely said that a lot of the knowledge is lost because it wasn't shared. This knowledge could have changed the way this world works or the way we see this world. If Bruno or Newton wouldn't have shared their knowledge then probably we would still be thinking Earth to be a flat surface and the centre of the universe. Since, some of us got to learn and educate ourselves consuming the resources provided by the nature it is our responsibility to not only take the current state of knowledge foreward but also to take education to those who are still living at the dark edge of this enlighted world. Therefore, my ultimate goal is to develop AI based architectures which could utilize today's handheld or position fixed technologies to take education to every person in the world in a really positive manner. I strongly believe, AI is one tool that can help the world in realizing a long debated and anticipated dream and goal of taking the fundamental right of quality education to every being in the world. I hope to make it possible in this lifetime alone.
Healthcare is one department in which deta-centric approaches like Machine or Deep Learning can make a big impact. For the first time in our known human history we have a tool at our disposal that allows us to look deeper into every disease, understand its reasons & maybe cure it or even hopefully prevent it before it grows into a life-threating disease as we know today. Healthcare is one challenge that I would like to take with both hands & hopefully make a difference.
Cross Field Research & Application Development
I'm inspired by the nature or so we call universe. Therefore, I try to explore, understand & learn everything that contributes to the development of universe to its current state passionately as a hobby. This hunger for knowledge & curiosity to understand how & why things work has led me to have the subject knowledge of at least the basic level in the field of Psychology, Microeconomics, Development Economics (Macroeconomics), Finance Theory, Biology, Bioengineering, Sensory Systems, Neuroscience, Chemical Science, Quantum Physics, Classical Mechanics, String Theory & Holographic Duality, Ocean & Climate Dynamics, Astrophysics, Calculus, Poker Theory & Analysis, LASER & Robotics,