BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CCDS - ECPv6.11.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:CCDS X-ORIGINAL-URL:https://ccds.ai X-WR-CALDESC:Events for CCDS REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20220101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=UTC:20241212T093000 DTEND;TZID=UTC:20241213T173000 DTSTAMP:20250411T163103 CREATED:20250110T052253Z LAST-MODIFIED:20250114T052838Z UID:6726-1733995800-1734111000@ccds.ai SUMMARY:Seminar On Showcasing the Intersection of HCI and AI DESCRIPTION:We are pleased to announce that the Center for Computational & Data Sciences (CCDS) will be organizing a seminar titled “Showcasing the Intersection of HCI and AI” on January 14\, 2024 at 11:00 AM. \nWe are honored to welcome the distinguished speaker:\nDr. Sharifa Sultana\nAssistant Professor\nDepartment of Computer Science\nUniversity of Illinois Urbana-Champaign (UIUC)\, USA \nThis seminar will explore cutting-edge advancements at the intersection of Human-Computer Interaction (HCI) and Artificial Intelligence (AI)\, highlighting the impact of these fields on shaping modern computational systems and user experiences. \nWe cordially invite you to attend this insightful event and gain valuable perspectives from Dr. Sultana’s expertise. \nThank you\, and we look forward to your participation! URL:https://ccds.ai/event/seminar-on-showcasing-the-intersection-of-hci-and-ai/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2025/01/Sharifa-Sultana-January-14-2025.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20241212T093000 DTEND;TZID=UTC:20241213T173000 DTSTAMP:20250411T163103 CREATED:20241211T051230Z LAST-MODIFIED:20241211T060922Z UID:6625-1733995800-1734111000@ccds.ai SUMMARY:Workshop On Hands-on Deep Learning Coding & Code Management DESCRIPTION:The Center for Computational & Data Sciences (CCDS) is pleased to announce a two-day workshop on “Hands-on Deep Learning Coding & Code Management” scheduled for December 12-13\, 2024. Certificates will be awarded to individuals who successfully complete the program. \nThe workshop will be led and facilitated by \nAKM Mahbubur Rahman\, PhD\, Director Data Science Wing\, CCDS; Associate Professor\, CSE\, IUB \n\nTime/Data of Workshop: \nThursday\, Dec 12 1:00pm – 4:30pm\nFriday\, Dec 13: 9:30am – 4:30pm\nFacilitated by: Dr AKM Mahbubur Rahman\, and senior research assistants\, CCDS\n\nRSVP your attendance using this google form.\n\nPlease come to CCDS Lab\, IUB by 1pm. We will formally start the session at 1:15pm.\n\nPlease use IUB gate 1 to enter the IUB premise. At the reception\, mention you are to join the workshop at CCDS. Please bring your own laptop.\n\nFor any further assistance:\nCall: Zakir Hossan\, CCDS Research Manager\, 01738438310\n\nTentative Schedule\n \nDay 01  \nDec 12 1pm – 4:30pm \na. Develop VGG 16  for image classification\, plot loss curves\, batches\, dropout impact\, batch normalization\, learning rate scheduler\, adam optimizer\,\nb. NLP using LSTM model\, Transformer\, BERTDay 02\nSession 01: Dec 13 9:30am – 12:30pm\nManaging project using VS code\, running code in google colab while developing the sourcecode in vscode\nSession 02: \nVisualizing the loss curves\, real time interaction with the model with wandb.ai and Lightning.ai URL:https://ccds.ai/event/workshop-on-hands-on-deep-learning-coding-code-management-2/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2024/12/Dec-12-13.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20241209T110000 DTEND;TZID=UTC:20241209T123000 DTSTAMP:20250411T163103 CREATED:20240811T044516Z LAST-MODIFIED:20241211T050719Z UID:6620-1733742000-1733747400@ccds.ai SUMMARY:Seminar on Omnipresence of Artificial Intelligence: Challenges\, Opportunities and Synergies DESCRIPTION:The Center for Computational & Data Sciences (CCDS) is going to organize a seminar on “Omnipresence of Artificial Intelligence: Challenges\, Opportunities and Synergies” by Mohammed Yeasin\, Ph.D. Professor\, Department of Electrical and Computer Engineering\, The University of Memphis\, Memphis\, TN\, USA\, on December 09\, 2024. URL:https://ccds.ai/event/seminar-on-omnipresence-of-artificial-intelligence-challenges-opportunities-and-synergies/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2024/12/Dec-09-2024.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20241205T110000 DTEND;TZID=UTC:20241205T123000 DTSTAMP:20250411T163103 CREATED:20241204T100106Z LAST-MODIFIED:20241204T100106Z UID:6607-1733396400-1733401800@ccds.ai SUMMARY:Seminar on AI and Its Applications in Aerospace Engineering DESCRIPTION:The Center for Computational & Data Sciences (CCDS) is going to organize a seminar on “AI and Its Applications in Aerospace Engineering” by Noman Hossain\, PhD\, Associate Professor & Chairperson of CSE Department\, Primeasia University\, Bangladesh\, on December 05\, 2024. URL:https://ccds.ai/event/seminar-on-ai-and-its-applications-in-aerospace-engineering/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2024/12/Dec-05-2024.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240630T090000 DTEND;TZID=UTC:20240704T160000 DTSTAMP:20250411T163103 CREATED:20240626T072152Z LAST-MODIFIED:20240704T070146Z UID:5644-1719738000-1720108800@ccds.ai SUMMARY:1st CCDS Summer School on Random Matrix Theory DESCRIPTION:We would like to inform you that the Center for Computational & Data Sciences (CCDS) is going to organize a 5-day long summer school on “Random Matrix Theory” from 29th June to 4th July. The following speaker is invited to the event: \n\nArijit Chakrabarty\, PhD\, Associate Professor\, Theoretical Statistics and Mathematics Unit\, Indian Statistical Institute. URL:https://ccds.ai/event/workshop-on-random-matrix-theory/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2024/06/Dr-Arijit-3.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240528T100000 DTEND;TZID=UTC:20240530T160000 DTSTAMP:20250411T163103 CREATED:20240521T070053Z LAST-MODIFIED:20240528T100025Z UID:5625-1716890400-1717084800@ccds.ai SUMMARY:Workshop on Hands-on Quantum Machine Learning for Data Analysis in High Energy Particle Physics (CERN/ALICE Data) DESCRIPTION:We would like to inform you that the Center for Computational & Data Sciences (CCDS) is going to organize a 3-day long workshop on “Hands-on Quantum Machine Learning for Data Analysis in High Energy Particle Physics (CERN/ALICE Data)” between the 28th to 30th of May 2024. The following speaker is invited to the event: \n\nMoinul Rahat\, PhD Postdoc Fellow\, University of Valencia\, Spain\n\n  URL:https://ccds.ai/event/workshop-on-hands-on-quantum-machine-learning-for-data-analysis-in-high-energy-particle-physics-cern-alice-data/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2024/05/28-30-Moinul.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240428T080000 DTEND;TZID=UTC:20240430T170000 DTSTAMP:20250411T163103 CREATED:20240421T051652Z LAST-MODIFIED:20240521T065910Z UID:5579-1714291200-1714496400@ccds.ai SUMMARY:Workshop on Data Analysis in High Energy Particle Physics DESCRIPTION:We would like to inform you that the Center for Computational & Data Sciences (CCDS) is going to organize a 3-day long workshop on “Data Analysis in High Energy Particle Physics” between the 28th to 30th of April 2024. The following speakers are invited to the event: \n\nBedangadas Mohanty\, PhD\, Professor\, School of Physical Sciences\, National Institute of Science and Research.\nRanbir Singh\, PhD\, Scientific Officer-E\, School of Physical Sciences\, National Institute of Science and Research. URL:https://ccds.ai/event/workshop-on-data-analysis-in-high-energy-particle-physics/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2024/04/CERN-28-30-April-2024.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240418T123000 DTEND;TZID=UTC:20240418T133000 DTSTAMP:20250411T163103 CREATED:20240416T044639Z LAST-MODIFIED:20240416T044639Z UID:5563-1713443400-1713447000@ccds.ai SUMMARY:Seminar on Accelerating Innovation: Unleashing Machine Learning in Distributed Services DESCRIPTION:We are delighted to invite you to participate in our upcoming seminar under the title “Accelerating Innovation: Unleashing Machine Learning in Distributed Services” on April 18\, 2024\, from 12:30 PM to 01:30 PM. The seminar will be supervised and facilitated by: \n\nSajib Mistry\, PhD. Senior Lecturer\, School of Elec Eng\, Comp and Math Sci\, Faculty of Science and Engineering\, Curtin University\, Australia.\n\nLocation: Independent University Bangladesh\, Digital Classroom [2022-2023] \nYou may find the following abstract insightful:\nIn today’s data-rich landscape\, the integration of machine learning with distributed services stands as a pivotal driver of revolutionary technological progress. This presentation offers a deep dive into the research endeavours of the Curtin High-Performance Intelligent Systems (HIPS) group\, specifically focusing on their expertise in micro-service architectures and distributed machine learning across a spectrum of industries and use cases. Additionally\, we’ll discuss the evolving landscape of Computer Science research in Australia and will explore future potential collaboration prospects. \nWe are confident this seminar will greatly benefit your research and professional development. Additionally\, it offers an excellent opportunity to network with fellow participants and experts in the field. \nWe eagerly anticipate your participation in the event. URL:https://ccds.ai/event/seminar-on-accelerating-innovation-unleashing-machine-learning-in-distributed-services/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2024/04/Sajib-18-April-2024.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240225T100000 DTEND;TZID=UTC:20240229T160000 DTSTAMP:20250411T163103 CREATED:20240222T055338Z LAST-MODIFIED:20240416T044253Z UID:5491-1708855200-1709222400@ccds.ai SUMMARY:Workshop on Statistical Inference Frequentist & Bayesian Estimation DESCRIPTION:I would like to inform you that the Center for Computational & Data Sciences (CCDS) is going to organize a workshop on Statistical Data Analysis using Bayesian Analysis from 25th Feb 2024 to 29th Feb 2024. The following speaker is invited to the event: \n\nShahariar Huda\, PhD\, Professor\, Department of Statistics & Operation Research\, Faculty of Science\, Kuwait University.\n\nThe details are as follows: \n\n\n\nSL\nTime\nDate: 25/02/2024\n\n\n01\n10:30 AM – 12:00 PM\nIntroduction to Bayesian Statistics \nStatistical Experiments\, Forms of Statistical Inference\, Random Variables and Some Standard Distributions\, Samples and Sampling Distributions\, and Exercises.\n\n\n02\n12:00 AM – 12:15 AM\nTea break\n\n\n03\n12:15 AM – 01:45 PM\nTheory of Point Estimation \nGeneral Problem (Unbiasedness\, Minimum Mean Squared Error)\, Sufficiency and Completeness\, Exponential Family of Distributions\, Lower Bound for Variance of Estimators (Cramer-Rao Lower Bound)\, Uniformly Minimum Variance Unbiased Estimators (UMVUE)\, Exercises.\n\n\n04\n01:45 PM\nLunch\n\n\n\n  \n\n\n\nSL\nTime\nDate: 27/02/2024\n\n\n01\n10:30 AM – 12:00 PM\nMaximum Likelihood Estimation \nThe Method of Maximum Likelihood (MLE)\, Asymptotic Properties of MLE\, Exercises.\n\n\n02\n12:00 AM – 12:15 AM\nTea break\n\n\n03\n12:15 AM – 01:45 PM\nMethods of Moment \nIntroduction\, Method of Moments Estimators\, Some Remarks\, Exercises.\n\n\n04\n01:45 PM\nLunch\n\n\n\n  \n\n\n\nSL\nTime\nDate: 28/02/2024\n\n\n01\n10:30 AM – 12:00 PM\nMethod of Least Squares \nIntroduction\, Linear Models\, Use of Matrices\, Properties of LSE (Gauss-Markov Theorem)\, Full-rank Models with Non-Constant Variance\, LSE in Non-Full-rank Models\, Geometric Interpretation of LSE\, Exercises\n\n\n02\n12:00 AM – 12:15 AM\nTea break\n\n\n03\n12:15 AM – 01:45 PM\nSet Estimation \nConfidence Interval\, Confidence Set\, Exercises\n\n\n04\n01:45 PM\nLunch\n\n\n\n  \n\n\n\nSL\nTime\nDate: 29/02/2024\n\n\n01\n10:30 AM – 12:00 PM\nBayesian Approach Part-I \nIntroduction (extension of the statistical model description\, prior and posterior distributions\, proper and improper priors\, uninformative and informative priors\, conjugate priors)\, Exercises\n\n\n02\n12:00 AM – 12:15 AM\nTea break\n\n\n03\n12:15 AM – 01:45 PM\nBayesian Approach Part-II \nPoint Estimation (decision-theoretic framework\, loss function\, risk function\, Bayes estimator\, Minimax estimator)\, Interval Estimation\, Hypothesis Testing\, Exercises\n\n\n04\n01:45 PM\nLunch URL:https://ccds.ai/event/workshop-on-statistical-inference-frequentist-bayesian-estimation/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2024/02/Prof-huda.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240216T090000 DTEND;TZID=UTC:20240217T170000 DTSTAMP:20250411T163103 CREATED:20240210T051342Z LAST-MODIFIED:20240210T051342Z UID:5461-1708074000-1708189200@ccds.ai SUMMARY:Workshop On Hands-on Deep Learning Coding & Code Management DESCRIPTION:The Center for Computational & Data Sciences (CCDS) is pleased to announce a two-day workshop on “Hands-on Deep Learning Coding & Code Management” scheduled on February 16-17\, 2024. Certificates will be awarded to individuals who successfully complete the program. \nThe workshop will be led and facilitated by \nAKM Mahbubur Rahman\, PhD\, Director Data Science Wing\, CCDS; Associate Professor\, CSE\, IUB \nDay 1:  Feb 16\, 2024\n \n\nSession 1 (9:30 AM – 12:30 PM) NumPy Recap\, Image Classification (Linear model)\, MLP for Regression\nLunch Break\nSession 2 (2:30 AM – 5:30 PM) Image Classification using CNN (Pytorch)\n\n  \nDay 2: Feb 17\, 2024 \n\nSession 1 (9:30 AM – 12:30 PM):  Natural Language Processing using Transformer (Pytorch)\nLunch Break\nSession 2 (2:30 AM – 5:30 PM): Deep Learning Code Management\n\nNote:\n\n\nBackground required: Programming experience in NumPy\nKindly bring your own laptop for the workshop URL:https://ccds.ai/event/workshop-on-hands-on-deep-learning-coding-code-management/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2024/02/Mahbubur-16-17-FEb.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240211T080000 DTEND;TZID=UTC:20240215T170000 DTSTAMP:20250411T163103 CREATED:20240210T051446Z LAST-MODIFIED:20240210T051446Z UID:5460-1707638400-1708016400@ccds.ai SUMMARY:Workshop On Hands-on Training on MDRepo and Molecular Dynamics Simulation DESCRIPTION:The Center for Computational & Data Sciences (CCDS) is going to organize a workshop on MD Repo from 11th Feb to 15th Feb 2024. The following speaker is invited to the event: \n\nAmitava Roy\, PhD\, Research Professor\, Department of Biomedical & Pharmaceutical Sciences\, University of Montana\, USA.\n\nThe details are as follows:\n\n\n\n\n\nSL\nTime\nDate: 11/02/2024\n\n\n01\n10:30 AM – 12:00 PM\nUNIX commands to Work in a Computer Cluster\n\n\n02\n12:00 PM – 12:15 AM\nTea break\n\n\n03\n12:15 PM – 01:45 PM\nOverview of MD Simulations\n\n\n04\n01:45 PM\nLunch\n\n\n\n\n\n\n\nSL\nTime\nDate: 12/02/2024\n\n\n01\n10:30 AM – 12:00 PM\nVisualization of MD data using VMD\n\n\n02\n12:00 PM – 12:15 AM\nTea break\n\n\n03\n12:15 PM – 01:45 PM\nPractice on how to Upload data on the MDRepo\n\n\n04\n01:45 PM\nLunch\n\n\n\n\n\n\n\nSL\nTime\nDate: 13/02/2024\n\n\n01\n10:30 AM – 12:00 PM\nCreating MD Input files\n\n\n02\n12:00 PM – 12:15 AM\nTea break\n\n\n03\n12:15 PM – 01:45 PM\nPractice on how to Upload data on the MDRepo\n\n\n04\n01:45 PM\nLunch\n\n\n\n\n\n\n\nSL\nTime\nDate: 14/02/2024\n\n\n01\n10:30 AM – 12:00 PM\nAnalysis of MD trajectories\n\n\n02\n12:00 PM – 12:15 AM\nTea break\n\n\n03\n12:15 PM – 01:45 PM\nPractice on how to upload data on the MDRepo\n\n\n04\n01:45 PM\nLunch\n\n\n\n\n\n\n\nSL\nTime\nTitle Date: 15/02/2024\n\n\n01\n10:30 AM – 12:00 PM\nHow to Develop Future Algorithms to be Used on the MD Data\n\n\n02\n12:00 PM – 12:15 AM\nTea break\n\n\n03\n12:15 PM – 01:45 PM\nPractice on how to upload data on the MDRepo\n\n\n04\n01:45 PM\nLunch URL:https://ccds.ai/event/workshop-on-hands-on-training-on-mdrepo-and-molecular-dynamics-simulation/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2024/02/Amitava-Feb-11-15.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20240116T103000 DTEND;TZID=UTC:20240118T163000 DTSTAMP:20250411T163103 CREATED:20240115T034038Z LAST-MODIFIED:20240115T034038Z UID:5346-1705401000-1705595400@ccds.ai SUMMARY:Insider's Guide to Systematic Reviews and Research Paper Writing: A Hands-On Workshop DESCRIPTION:The Center for Computational & Data Sciences (CCDS) is pleased to announce a comprehensive workshop on conducting a systematic literature review and scientific paper writing titled “Insider’s Guide to Systematic Reviews and Research Paper Writing: A Hands-On Workshop.” This 3-day workshop\, totaling 15 hours\, is scheduled from January 16\, 2024\, to January 18\, 2024 10:30 AM to 04:30 PM.\nSupervisors and Facilitators: \n\nDr. Ashraful Islam – Co-Director-HCI Wing\, CCDS\, Assistant Professor\, CSE\, IUB\nJahanggir Hossain Setu – Workshop Associate\nNabarun Halder – Workshop Associate\n\nRegistration Fee \n\nBDT 1\,000 (In Office)\nBDT 1\,020 (bKash: 01738 438 310)\n\nWe encourage all interested participants to complete their registration process at the earliest. \nPlease fill out this form properly.\nhttps://docs.google.com/forms/d/1uXMYnRQ7c82Wj5k37eTwZx7sIoe7jmdGV4z5ky4iIpw/ \nWorkshop Details:\nDates: January 16\, 2024\, to January 18\, 2024\nDuration: 3 days; 15 hours total\nPlace: Digital Classroom (Room #2022-2023)\nCapacity:  Limited to 40 Persons (First come first serve basis)\nNote:\n\n\nKindly ensure that you have your own laptop with you for the workshop.\nFor those who have already registered\, payment can be made during office hours or through bKash. Kindly complete this form afterward.\n\nA certificate will be awarded to individuals who successfully complete the program.\n\n\nWhy Systematic Reviews Matter:\nParticipating in a systematic literature review is essential for researchers as it provides a structured approach to gathering\, evaluating\, and synthesizing existing research. A systematic review helps understand the current state of knowledge in a particular field and contributes significantly to a researcher’s career development. \nBenefits of Systematic Reviews: \n\nIncreased Citation: Systematic reviews often become cornerstone papers in a field\, cited extensively by other researchers seeking a comprehensive understanding of the topic.\nIdentifying Research Gaps: Through a systematic review\, researchers can identify gaps in existing literature\, paving the way for future research projects.\nEvidence-Based Decision Making: Systematic reviews provide a foundation for evidence-based decision-making by summarizing and analyzing relevant studies systematically.\nEnhanced Research Skills: Participation in systematic reviews enhances critical thinking\, analytical\, and research skills\, which are crucial for a successful research career.\n\nDon’t miss this opportunity to enhance your research skills and contribute to advancing knowledge in your field. \nFor registration and further details\, please contact. \nMd Zakir Hossan\nCenter for Computational & Data Sciences (Room 6002)\nIndependent University\, Bangladesh\nccds@iub.edu.bd | +88 01885 570 597 | www.ccds.ai URL:https://ccds.ai/event/insiders-guide-to-systematic-reviews-and-research-paper-writing-a-hands-on-workshop/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2024/01/SLR-workshop.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20231009T103000 DTEND;TZID=UTC:20231009T163000 DTSTAMP:20250411T163103 CREATED:20231002T052623Z LAST-MODIFIED:20231002T052713Z UID:5132-1696847400-1696869000@ccds.ai SUMMARY:Session 2 of the Workshop on Molecular Dynamics Simulation by Md Shafayet Islam\, Bioinformatics Software Developer\, Genereveal DESCRIPTION: URL:https://ccds.ai/event/workshop-on-molecular-dynamics-simulation-by-md-shafayet-islam-bioinformatics-software-developer-genereveal/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230925T100000 DTEND;TZID=UTC:20230925T163000 DTSTAMP:20250411T163103 CREATED:20231002T052814Z LAST-MODIFIED:20231002T052814Z UID:5136-1695636000-1695659400@ccds.ai SUMMARY:Session 1 of the Workshop on Molecular Dynamics Simulation by Md Shafayet Islam\, Bioinformatics Software Developer\, Genereveal DESCRIPTION: URL:https://ccds.ai/event/session-1-of-the-workshop-on-molecular-dynamics-simulation-by-md-shafayet-islam-bioinformatics-software-developer-genereveal/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230912T080000 DTEND;TZID=UTC:20230912T170000 DTSTAMP:20250411T163103 CREATED:20230818T064649Z LAST-MODIFIED:20230830T042222Z UID:4529-1694505600-1694538000@ccds.ai SUMMARY:Deep Learning Code Management Workshop DESCRIPTION: URL:https://ccds.ai/event/deep-learning-code-management-workshop/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230905T090000 DTEND;TZID=UTC:20230905T230000 DTSTAMP:20250411T163103 CREATED:20230830T042543Z LAST-MODIFIED:20230830T042543Z UID:5025-1693904400-1693954800@ccds.ai SUMMARY:Distinguished Lecture 06: The Scope and Opportunities in Computational Biology Emphasizing Molecular Dynamics Simulation\, by Professor Amitava Roy\, PhD Department of Biomedical and Pharmaceutical Sciences University of Montana\, USA DESCRIPTION: URL:https://ccds.ai/event/distinguished-lecture-06-the-scope-and-opportunities-in-computational-biology-emphasizing-molecular-dynamics-simulation-by-professor-amitava-roy-phd-department-of-biomedical-and-pharmaceutical-scie/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2023/07/amit_portrait.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230723T100000 DTEND;TZID=UTC:20230723T170000 DTSTAMP:20250411T163103 CREATED:20230710T084116Z LAST-MODIFIED:20230830T051102Z UID:4250-1690106400-1690131600@ccds.ai SUMMARY:Distinguished Lecture 05: How are a physicist\, a computer scientist\, and a mathematician helping to develop a drug\, by Amitava Roy\, PhD\, Research Professor\, Department of Biomedical & Pharmaceutical Sciences\, University of Montana\, USA DESCRIPTION:Slides URL:https://ccds.ai/event/ccds-presents-a-seminar-on-computational-biology-by-professor-amitava-roy-ph-d-university-of-montana-usa/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2023/07/amit_portrait.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230604T100000 DTEND;TZID=UTC:20230604T170000 DTSTAMP:20250411T163103 CREATED:20230520T084752Z LAST-MODIFIED:20230819T180848Z UID:4254-1685872800-1685898000@ccds.ai SUMMARY:Distinguished Lecture 04: Challenges of Novel Medical and Healthcare Technologies and the AI-Based Medical Device Landscape\, by Syoji Kobashi PhD\, Professor\, Graduate School of Engineering\, University of Hyogo DESCRIPTION: URL:https://ccds.ai/event/ccds-presents-a-seminar-on-biomedical-engineering-by-professor-syoji-kobashi/ ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2023/05/unnamed.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230523T100000 DTEND;TZID=UTC:20230524T170000 DTSTAMP:20250411T163103 CREATED:20230501T063345Z LAST-MODIFIED:20230830T050405Z UID:4232-1684836000-1684947600@ccds.ai SUMMARY:2 Days-Long Workshop on Cross-Sectional & Cohort Study Design\, by Professor Amal Mitra\, MD\, MPH\, DrPH\, Department of Epidemiology & Biostatistics\, Jackson State University DESCRIPTION:Day 01: \n\nEpidemiological Study Design-1\nEpidemiological Study Design-2\nEpidemiological Study Design-3\n\nDay 02: \n\nSample Size Estimation -Part I\nSample Size Estimation -Part II URL:https://ccds.ai/event/ccds-presents-2-days-long-workshop-on-cross-sectional-cohort-study-design-by-professor-amal-mitra-md-mph-drph-department-of-epidemiology-biostatistics-jackson-state-university/ ATTACH;FMTTYPE=image/jpeg:https://ccds.ai/wp-content/uploads/2023/05/masked_me_pic.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230521T100000 DTEND;TZID=UTC:20230525T170000 DTSTAMP:20250411T163103 CREATED:20230501T071947Z LAST-MODIFIED:20230830T045355Z UID:4237-1684663200-1685034000@ccds.ai SUMMARY:Week-Long Workshop on Classical Experimental Design & Optimal Design Theory\, by Professor Shahariar Huda\, Ph.D.\, Department of Statistics & Operation Research\, University of Kuwait DESCRIPTION: URL:https://ccds.ai/event/ccds-presents-a-week-long-workshop-on-classical-experimental-design-optimal-design-theory-by-professor-shahariar-huda-ph-d-department-of-statistics-operation-research-university-of-kuwait/ ATTACH;FMTTYPE=image/jpeg:https://ccds.ai/wp-content/uploads/2023/05/Shahariar-Huda.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20230108T100000 DTEND;TZID=UTC:20230112T170000 DTSTAMP:20250411T163103 CREATED:20230101T073950Z LAST-MODIFIED:20230830T044818Z UID:4245-1673172000-1673542800@ccds.ai SUMMARY:Week-Long Workshop on Estimation and Spatial Modeling\, by Professor Shahariar Huda\, Ph.D.\, Department of Statistics & Operation Research\, University of Kuwait DESCRIPTION:Day 01: \n\nLearning Prosocial Norms using Agent-Based Modeling and Reinforcement Learning\n\nDay 02: \n\nNeural Implicit Representation\nMorphological Classification of Radio Galaxies using Semi-Supervised Group Equivariant CNNs\n\nDay 03: \n\nDiscussion\n\nDay 04: \n\nDiscussion\n\nDay 05: \n\nBangla Neural Stemmer\nTalk on CSP under SLS URL:https://ccds.ai/event/ccds-presents-a-week-long-workshop-on-estimation-and-spatial-modeling-by-professor-shahariar-huda-ph-d-department-of-statistics-operation-research-university-of-kuwait/ ATTACH;FMTTYPE=image/jpeg:https://ccds.ai/wp-content/uploads/2023/05/Shahariar-Huda.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20221022T090000 DTEND;TZID=UTC:20221022T100000 DTSTAMP:20250411T163103 CREATED:20221020T133348Z LAST-MODIFIED:20221020T133348Z UID:4030-1666429200-1666432800@ccds.ai SUMMARY:NextGen Energy Storage Technology DESCRIPTION:CCDS is inviting you on an online session “NextGen Energy Storage Technology”\, by Mr. Wahid. Currently he is a PhD candidate and Research fellow NASA JPL\, SDSMT—USA. \nYour participation in this session is highly appreciated and some of you may find a very good Senior Project topic from this session. \nIn future CCDS along with Mr. Wahid will offer a full course on “NextGen Energy Storage Technology”. \nPlease inform your fellow classmates to join this unique session. URL:https://ccds.ai/event/nextgen-energy-storage-technology/ LOCATION:Google Meet END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20220804T090000 DTEND;TZID=UTC:20220804T110000 DTSTAMP:20250411T163103 CREATED:20220804T030731Z LAST-MODIFIED:20220804T030731Z UID:3985-1659603600-1659610800@ccds.ai SUMMARY:Presentations by Research Assistants DESCRIPTION: URL:https://ccds.ai/event/presentations-by-research-assistants/ LOCATION:IUB Room 4043 ATTACH;FMTTYPE=image/jpeg:https://ccds.ai/wp-content/uploads/2022/07/group_photo_mar_2022-scaled-e1658372055618.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=UTC:20220721T110000 DTEND;TZID=UTC:20220721T130000 DTSTAMP:20250411T163103 CREATED:20220720T014425Z LAST-MODIFIED:20230830T043148Z UID:3342-1658401200-1658408400@ccds.ai SUMMARY:Distinguished Lecture 02: A Journey from Graph Theory to Network Theory via Percolation Theory\, by Professor Kamrul Hassan\, Ph.D.\, Department of Physics\, University of Dhaka DESCRIPTION:Speaker: Dr. Kamrul Hassan\, Professor\, Department of Physics\, Dhaka University \nIn this talk\, he will discuss how Graph Theory was born and grown for more than 200 years and remained a part of Discrete Mathematics only. The first paradigm shift occurred when Paul Erdos and Alfred Renyi 1959 proposed a random graph model. Its construction starts with a fixed number of isolated nodes and thereafter at each step one labeled link from N(N-1)/2 is picked at random that connects a pair of nodes as labeled on either end of the link. \nIn this talk\, he will also give a comprehensive account of the Erdos-Renyi (ER) model from the perspective of percolation theory. One of the recent highlights of percolation\, in general\, is that it is a transition from a disordered phase to an ordered phase where the former is characterized by order parameter P=0 and the latter by maximally high entropy H and vice versa for the latter case. To this end\, he will show that ER transition is not accompanied by the order-disorder transition. In 2009\, Achlioptas et al. proposed a new variant of the ER model in which two links are picked randomly instead of one at each step although ultimately only one of the links is added at each step and the other is discarded. The link to add is chosen following the Achlioptas process (AP) that encourages the smaller cluster to grow faster than the larger clusters. Inevitably it delays the transition but eventually\, when it reaches near the critical point it is so unstable that the occupation of one or two links triggers an explosion of growth. It leads to the emergence of a giant cluster with a bang and hence it is called “explosive percolation” (EP). He will give an entropic argument to explain why the link that minimizes the product is the most energetically favorable choice which also explains the physics behind the powder keg effect. In 1999 Barabasi and Albert revolutionized the notion of the network theory by recognizing the fact that real networks are not static\, but rather grow by the addition of new nodes establishing links preferentially\, known as the preferential attachment (PA) rule\, to the nodes that are already well connected. Incorporating both the ingredients\, growth\, and the PA rule\, Barabasi and Albert (BA) presented a simple theoretical model and showed that such a network self-organizes into a power-law degree distribution. The phenomenal success of the BA model lies in the fact that it can capture\, at least qualitatively\, the key features of many real-life networks. \nSlides URL:https://ccds.ai/event/distinguished-lecture-02/ LOCATION:IUB Room 5023 ATTACH;FMTTYPE=image/png:https://ccds.ai/wp-content/uploads/2022/07/xbanner022-5-01-Copy.png END:VEVENT END:VCALENDAR