Paper Accepted in Journal of King Saud University – Computer and Information Sciences

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We are happy to announce that one of our papers titled “Low-cost relay selection in multihop cooperative networks”, has been accepted and published in “Journal of King Saud University – Computer and Information Sciences (Q1, Impact Factor: 6.9)“. This work was a joint collaboration between CCDS professors Dr. Md Zahangir Alam and Dr. Ashraful Islam and collaborators from Department of CSE, IUB. The paper can be read at https://doi.org/10.1016/j.jksuci.2023.101760.

In this work, the authors presented algorithmic strategies to simplify a multihop parallel single-input single-output (SISO) relay network into a series multi-hop network by finding the best path having the maximum received signal-to-noise ratio (SNR). The best relay selection by using dynamic programming search entails high computations and large memory requirements, as well as involves the full CSI information, making this approach impractical for large-scale networks. The goal of the proposed low-cost near-optimal routing strategy in this work is to provide close to optimal performance with much less complexity compared to traditional routing.

Day 1 of CCDS CompBio workshop on Molecular Dynamics (MD)

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Day 1 of CCDS CompBio workshop on Molecular Dynamics (MD). This is the first of the sequence of workshops aimed to provide hands-on training on the tools and databases used for MD simulations.
MD simulations predict how atoms in a protein or other molecular system will move over time, based on a general model of the physics governing interatomic interactions. Students will be using tools such as Charmm, gromacs, and MDtraj to perform the simulations and post-simulation analysis.
Shafayet Islam from Genereveal is the main resource person for the workshop. This workshop is supervised by CCDS supervisor Dr. Sabrina Elias, dept of Life Sciences, IUB, and Prof Amitava Roy, Computational Structural Biologist at NIH and research prof at the University of Montana. Sixteen students from the dept of CSE and Life Sciences IUB participated in the workshop.
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Paper Accepted in IEEE International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), Bahrain

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We are happy to announce that one of our papers titled “A Framework for Lung Cancer Detection at Early Stages with IoT and Decision Support System”, has been accepted in “IEEE International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)”, Bahrain. This work was a joint collaboration between CCDS professor Dr. Ashraful Islam and collaborator from the University of Information Technology & Sciences, Bangladesh.

In this work, an innovative framework based on a decision support system (DSS) and IoT is proposed to facilitate faster and earlier detection of lung cancer to assist physicians in making informed treatment recommendations following the detection. By integrating IoT with a DSS, this paper advocates for improved early detection of lung cancer, leveraging insights from existing literature on machine learning (ML), deep learning (DL), and IoT-based diagnosis of lung cancer.

Paper Accepted in IEEE 64th International Scientific Conference on Information Technology and Management Science (ITMS 2023), Latvia

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We are happy to announce that one of our papers titled “A Comparative Overview of Local Mobile Financial Services Smartphone Apps Available in Bangladesh”, has been accepted in “IEEE 64th International Scientific Conference on Information Technology and Management Science (ITMS 2023)”, Latvia. This work is completely researched by the CCDS professor Dr. Ashraful Islam and the 2nd year BSc in CSE students of IUB.

In this work, the authors conducted a comprehensive comparative analysis of the various official MFS apps (n=13) available in Bangladesh, evaluating their features, functionalities, operational aspects, security measures, and overall facilities. The comprehensive exploration identified 18 distinct elements spanning four primary themes that stand out in the functionality of these apps: (1) Money Transfers and Transactions, (2) Financial Services and Bill Payments, (3) Service-related Charges, and (4) Consumer Finance.

Paper Accepted in IEEE 64th International Scientific Conference on Information Technology and Management Science (ITMS 2023), Latvia

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We are happy to announce that one of our papers titled “Initial Development and Performance Evaluation of a Bengali Voice-Operated Virtual Assistant for Personal Computer Control”, has been accepted in “IEEE 64th International Scientific Conference on Information Technology and Management Science (ITMS 2023)”, Latvia. This work was a joint collaboration between CCDS professor Dr. Ashraful Islam and collaborators from the University of Louisiana at Lafayette, USA.

In this work, the authors conducted a preliminary development and performance evaluation of a personal computer assistant designed for voice-operated interaction in Bengali. A bespoke phonetic grammar has been devised to map Bengali phonemes onto English representations, and an algorithm has been developed to mitigate the confusion of the machine in recognizing the same type of phonetics in the language, which helps to enhance the precision in comprehending Bengali commands.

Paper Accepted in PACLIC 37

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We are happy to announce that one of our papers titled “EDAL: Entropy based Dynamic Attention Loss for HateSpeech Classification”, has been accepted in the “37th Pacific Asia Conference on Language, Information and Computation”. 

In this work, the authors introduce the “Entropy-based Dynamic Attention Loss” (EDAL) to enhance model interpretability by incorporating an additional attention layer. EDAL encourages attention scores that provide valuable insights and boosts the performance of pretrained models during fine-tuning for downstream tasks. We conduct extensive experiments on six diverse datasets, confirming that EDAL effectively enhances classification performance while maintaining interpretability. Additionally, experiments with various pretrained models demonstrate EDAL’s significant performance improvements during fine-tuning. In summary, EDAL holds promise for creating more transparent and reliable hate speech classifiers, contributing to a safer online environment.

RA Recruitment Announcement 📣

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CCDS RA ranked #1 in BanglaNLP workshop @EMNLP23

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CCDS RA, Md Fahim has ranked #1 and #2 in Bangla sentiment analysis and violence inciting text detection tasks respectively organized by the first Bangla Language Processing workshop @ EMNLP 2023. More information about the workshop can be found here: First Workshop on Bangla Language Processing (blp-workshop.github.io) 

Congratulations to Fahim.

CCDS RA receives fully funded MS admission in the Concordia University

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Congratulations to Mohammad Raihanul Bashar Fahim! We’re happy to announce that he will be joining the Extended Reality and Interaction Technologies (EXiT) Lab at Concordia University, Canada for his Master’s in Computer Science starting in Fall 2023. He will be working in the field of Extended Reality, Human-Computer Interaction, and 3D user interface. Fahim had been one of our first RAs and an alumni of CSE IUB and has been working as a senior ML engineer since he left the lab.

Best of luck, Fahim!

CCDS RA receives fully funded PhD admission in the University of Houston

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Congratulations to Ovi Paul, one of our former RAs at CCDS and alumni of IUB, for embarking on his PhD journey. He will be doing his PhD in Geosensing System Engineering & Science program at the University of Houston! Ovi will also serve as a Graduate Research Assistant at the National Center for Airborne Laser Mapping. The center is based at the University of Houston and is operated in partnership with the University of California, Berkeley. At CCDS, he had been working on spatial data processing (land cover and land usage classification, urban buildup classification etc. from satellite data).

We wish him all the best.