New paper from Dr. Ghosh’s group
Title: Holographic QFTs on AdS$_d$, wormholes and holographic interfaces.
arXiv preprint: https://arxiv.org/abs/2209.12094
We consider three related topics: (a) Holographic quantum field theories on AdS spaces. (b) Holographic interfaces of flat space QFTs. (c) Wormholes connecting generically different QFTs. We investigate in a concrete example how the related classical solutions explore the space of QFTs and we construct the general solutions that interpolate between the same or different CFTs with arbitrary couplings. The solution space contains many exotic RG flow solutions that realize unusual asymptotics, as boundaries of different regions in the space of solutions. We find phenomena like “walking” flows and the generation of extra boundaries via “flow fragmentation”.
Session on Deep Learning Code Management Held at IUB Premises
Recently, a general trend in the machine learning research community is that most of the research papers include links to the code of their experiments. As such, it becomes very much necessary to be able to write DRY, scalable, and modular code that can easily be used to reproduce experimental results. Additionally, it is equally important to be able to tweak the network and dataset parameters with minimal effort, which is critical when performing ablation studies or simply trying to improve the architecture trainable model.
In an endeavor to enlighten the existing and new RAs in this regard, AGenCy Lab of the Centre for Computation and Data Science (CCDS), IUB arranged a deep learning code management session at the IUB premises on May 24, 2022 (Tuesday) at 7 PM. Our RAs Saif Mahmud, Tanjid Hasan Tonmoay, and Mahieyin Rahmun were the speakers in the session. They talked about how SOLID and DRY principles can help in keeping the codebase modular and manageable while at the same time can make working in teams require minimal effort. Managing configuration files, project structuring, logging and visualization, unit testing, and debugging were discussed. Afterward, a short coding session was arranged where the participants were required to code a basic image classification model and apply the concepts they learned from the session. Interested readers can find the presentation slides here.
Paper published at Sustainability 2022, MDPI
As a joint collaboration between Data and Design Lab and AGenCy Lab with Center for Spatial Information Science (The University of Tokyo) the paper titled “Understanding the Urban Environment from Satellite Images with New Classification Method—Focusing on Formality and Informality” has been published in Sustainability, MDPI.
Based on easily accessible data from Google Earth, this work develops and proposes a new urban environment classification method focusing on formality and informality. Firstly, the method gives a new model to scrutinize the urban environment based on the buildings and their surroundings. Secondly, the method is suited for the state-of-the-art machine learning processes that make it applicable and scalable for forecasting, analytics, or computational modeling. The paper first demonstrates the model and its applicability based on the urban environment in the developing world. The method divides the urban environment into 16 categories under four classes. Then it is used to draw the urban environment classes maps of the following emerging cities: Nairobi in Kenya, Mumbai in India, Guangzhou in China, Jakarta in Indonesia, Cairo in Egypt, and Lima in Chile. The characteristics of the different urban environments and the differences between the same class in different cities are presented. The paper also demonstrate the agility of the proposed method by showing how this classification method can be easily augmented with other data such as population per square kilometer to aid the decision-making process.
AGenCy Lab Meetup
We had the CCDS / AGenCy lab’s big meetup on the fine morning of March 8th. The new faculty members Dr. M M Mahbubul Sayeed, Dr. Asm Shihavuddin and Dr. Saadia Binte Alam who joined IUB this year, the current faculty members – Prof Arshad Momen, Prof Ashraful Amin, Dr. Amin Ahsan Ali and Dr. AKM Mahbubur Rahman, the outgoing RAs, the new RAs, and the undergrads who are doing their senior project with us were present. We had a special session conducted by our outgoing RAs who received PhD admission with RAships/fellowships sharing their research experience and journey towards PhD admission. Special thanks to Amit Roy, Kashob Roy , Saif Mahmud Dhrubo and Tanjid Hasan Tonmoy, Fahim Faisal Niloy for sharing their PhD admission experience.
News on Graduate school admissions
Big congratulations to our RAs who have received admission to graduate program at top universities of USA. The details are given below:
- Saif Mahmud – Cornell, Georgia Tech, UMass Amherst, Penn State, UVA, UC Riverside, U Michigan Ann Arbor (MS)
- Kashob Roy – UIUC, UMD – College Park, UMass Amherst
- Amit Roy – UMD – College Park, TAMU, Stony Brook, RPI, UMass Amherst (MS)
- Fahim Faisal Niloy – UC Riverside, Stony Brook, UCF, Indiana U, Clemson, Concordia
- Tanjid Hasan Tonmoy – UMass Amherst, UVA, Virginia Tech, Arizona State, Purdue, Stevens Inst. of Tech
- Sugandha Roy – Iowa State and South Carolina (both in Applied Math).
Our researchers have compiled an account of their entire journey, which you can read here.
