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Iit kharagpur phd thesis proposal

Iit kharagpur phd thesis proposal post doctorate from

The Department of Computer Science and Engineering, IIT Kharagpur, jointly with IBM is organizing an exhibition cum contest of demonstrations of systems being built by students of IIT Kharagpur to be displayed at the IBM Day 2016 at IIT Kharagpur. We encourage submissions from early prototype demonstrations to innovative and mature software and/or computer hardware systems. Prizes will be given to the top three entries as judged by panelists of faculty members from IIT Kharagpur and delegates from IBM.

24th September,2016 at Gargi Auditorium.

The Winners are:

Welcome Note

The Department of Computer Science and Engineering, IIT KGP, is pleased to announce the 2016 IBM Day to be held on the 24th September at the Gargi Auditorium.

The day is being organized to promote and showcase innovative technologies and applications being developed by the students and faculty members of IIT Kharagpur.

The day will feature four talks from distinguished faculty members, students as well as researchers from IBM along with a showcase for demonstration of innovative computer systems being developed at the institute. Prizes will be given to the top three demos. On this day, the best PhD thesis award from the Department of Computer Science for the year 2015-2016 will also be announced. A fun quiz with prizes and lunch will be arranged for the participants.

Students are encouraged to participate in the demo showcase. Please look out for the separate announcement for the demo competition.

Program Schedule

08.45 AM – 09.00 AM

IBM Day Kickoff Presenters: Inaugration by HOD, CSE

09:00 AM – 09.30 AM

Talk by – Jagabondhu Hazra (IBM) on – “Smart Grid Initiatives – Contribution of IBM Research India

09.30 AM – 10.00 AM

Iit kharagpur phd thesis proposal on the basis

Talk by – Partha Bhowmick (IIT KGP) on – “Relaxation of Diophantine Equations for Arithmetic Geometry and Related Algorithms”

10.00 AM – 10.15 AM

Coffee Break Demo Setup

10.15 AM – 10.45 AM

Talk by – Indrajit Bhattacharya (IBM) on – “Learning from graphs”

10.45 AM – 11.15 AM

Talk by – Animesh Mukherjee (IIT KGP) in lieu of Tanmoy Chakraborty on – “Best PhD. Thesis Winner: Community Analysis in Large Networks: Methods and Applications”

11.15 AM – 01.30 PM

Demonstrations Contest – “Judges are IIT KGP Representatives IBM Representatives”

01.30 PM – 01.45 PM

Summary: Diophantine equations are linear or polynomial equations seeking or studying integer solutions. They are used extensively in algebraic geometry and also in arithmetic geometry, the latter being our subject of study. We will see how, for certain special classes of linear and quadratic Diophantine equations, relaxation can be done to obtain so-called Diophantine inequalities for defining well-defined integer sets of different geometric primitives such as straight lines, circles, ellipses, planes, spheres, and the like. The relaxed equations eventually form interesting recurrences leading to purely integer algorithms for efficient discretization of geometric objects under different topological constraints.

Abstract: Over the past decade, the growth of renewable energy has surpassed all expectations.

Iit kharagpur phd thesis proposal He completed his PhD in

Recently, International Association of Energy (IAE) predicted that this growth on renewable energy (RE) will continue until at least 2035. According to Renewable Energy Policy Network for the 21st century (REN21), more than 60% of total investment in power generation capacity is projected to be for renewable capacity. While such higher penetration of renewables will make the generation much cleaner, cheaper and green, it poses serious threats to the reliability of the grid due to high intermittency of these sources. Unfortunately, most of the power systems were not designed to handle such uncertainty of power supply. This motivates the researchers and utilities to develop innovative IoT(Internet of Things) based smart grid solutions for systematic integration of large-scale renewables and energy efficient technologies. Towards this goal, last couple of years, IBM Research is aggressively engaged on developing a suite of IoT based smart grid solutions for improving energy efficiency and reliable and smooth integration of renewables. This suite includes various tools e.g. optimal sizing and siting of renewable sources, renewable energy forecast (wind and solar), unit commitment and economic dispatch with renewables, consumer and grid friendly smart homes, etc. This presentation will cover some of these cutting edge technologies IBM research is working on.

Speakers Bio. Jagabondhu Hazra is a research staff member and manager of Smarter Energy team -IBM Research India and an adjunct faculty of FIT (Faculty of Integrated technology), Universiti Brunei Darussalam. Before joining IBM in 2010, he received his PhD on Power Systems from IIT Kharagpur, a premier institution in India and a post doctorate from SUPELEC, Paris, a top tier university in France. Currently, he is working in the area of smart grid and invented several smart grid technologies. He has more than 10 international journals and

50 top tier conferences with H index of 9. He is the inventor of 3 issued patents from USPTO and another 10 patents are pending at USPTO. For his contributions in the area of smart grid, he has received many awards e.g. INAE Young Engineer, Best of IBM, Eminence and Excellent award, IBM OTA (Outstanding Technical Achievements), etc.

Abstract: I will first talk about learning influence graphs over users based on social media interactions. Based on a use case from the Wimbledon Championships, I will describe a solution developed by IBM Research that has been running successfully at the annual competition since 2014. I will also present the underlying theory of computing expected properties of influence graphs based on social interaction cascades. In the second part, I will talk about learning more general Knowledge Graphs from data. While Knowledge Graphs have seen increasing attention over the last 5 years, many learning tasks require specialized Knowledge Graphs that are not available “off the shelf”. I will motivate the problem of learning such task-specific Knowledge Graphs and present some initial steps towards addressing this problem. Biodata: Indrajit Bhattacharya has been a Senior Research Scientist in the Business Analytics and Mathematical Sciences department at IBM Research India since 2012. He completed his PhD in Computer Science and Engineering from the University of Maryland, College Park in December 2006, and his BTech in Computer Science from the Indian Institute of Technology, Kharagpur in 1999. He was a Researcher in the Knowledge Management department in IBM Research India between 2007 and 2010. Between 2010 and 2012, he was an Assistant Professor at the Department of Computer Science and Automation in the Indian Institute of Science, Bangalore. His research interests are in Machine Learning in general, and more specifically in parametric and nonparametric Bayesian modeling and Probabilistic Graphical Models, and their wide-ranging applications, including entity resolution and deduplication in databases, word-sense disambiguation, text mining, natural language processing, sentiment analysis and opinion mining, social interaction analysis, system log analysis, service mining from legacy software, and more recently, learning knowledge graphs from semi-structured data. His research has resulted in multiple invited book chapters and two Best Paper awards, in addition to several publications in international journals and conferences.


Areas of Interest not restricted to

  • Applications of GIS systems, satellite imagery etc.
  • Artificial intelligence, cognitive systems and machine learning.
  • Digital education platforms.
  • Distributed, Big Data Systems.
  • Embedded applications
  • Formal Verification Tools
  • Hardware / software systems with significant scope for societal impact in India.
  • Hardware Security and Cryptography applications
  • Health Care/Bio
  • Image processing and graphics applications
  • Internet of things.
  • IR and recommendation systems
  • Mobile and eCommerce applications.
  • NLP/Linguistic application systems

The list of selected demos. Click here

Important Dates

  • Demo exhibition cum contest: September 24th, 2016

Further Details
Submissions will be evaluated on the basis of their relevance, innovation, scientific contribution, as well as potential societal impact. Further details on the time, and venue will be provided during the time of notification.

Mode of Demonstration:
Note that for demos selected by the organizers, participants will have to arrange for their own hardware and software. Internet and power connectivity will be provided. A running presentation should be made along with the demonstration explaining the technical details of the demo.

Participation certificate shall be given to all those who participate. Merit Certificate to the first three along with attractive cash prize will be given.

Registration for Demonstration Participation

Computer Science and Engineering Department
Indian Institute of Technology Kharagpur

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