Panel Discussion at IEEE ICCIT 2024
A Panel Discussion at the 27th International Conference on Computer and Information Technology (ICCIT 2024) has been jointly organized by the IEEE Bangladesh Section on 20 December 2024.
Keynote Title: Navigating the Future of K-12 Computing Education in the Age of AI, Networked Connectivity, and Digital Transformation”
Abstract:
K-12 computing education forms the bedrock of a nation’s future technological competency. The COVID-19 pandemic has compelled us to redefine our learning spaces and pedagogical approaches. While the pandemic has passed, there was no return to past. The post-COVID era now coincides with the rapid emergence of transformative technologies such as AI, ChatGPT, and large language models. These advancements are set to reshape pedagogy fundamentally, prompting critical questions to reimagining the foundation:
• What should be taught in schools in an AI-driven and networked world?
• What skills should be assessed, and how?
• Who will teach, and what role will technology play in augmenting educators?
• How should the goals of formal K-12 education evolve to meet future demands?
• How should K-12 CS education take advantage of global connectivity?
However, in emerging economies, challenges such as limited infrastructure, scarce resources, and the sheer scale of educational systems add layers of complexity to reimagining this foundation. These challenges are magnified in the developing world, where digital inequality and resource constraints must be overcome to leverage advanced educational technologies effectively. This panel brings together a diverse group of global experts, including educators, policy experts, and technologists, to explore these urgent questions. Panelists will provide a glimpse of current practices around the world and share their perspectives on the challenges and opportunities presented by the integration of advanced digital tools in K-12 computer science education for emerging economies. Join us as we discuss how nations can adapt and thrive in this new era of global digital education.
Panelists :
Joshua Haney
Middle School STEM Educator
Professor Aldo Faisal
Professor of AI & Neuroscience at the Dept. of Computing and the Dept. of Bioengineering at Imperial College London.
Dr. Mokhlesur Rahman
Senior Education Specialist
Amitava Roy
Faculty Affiliate at the Dept. Of Biomedical And Pharmaceutical Sciences of the University of Montana, USA
Dr. Javed I. Khan
Professor (and former Chair) of the Department of Computer Science at Kent State University
Date and Time
Location
Hosts
Registration
- Date: 20 Dec 2024
- Time: 08:00 AM UTC to 09:30 AM UTC
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- Long Beach Hotel
- Cox's Bazar, Chittagong
- Bangladesh 4700
- Click here for Map
Speakers
Joshua Haney
Biography:
Joshua Haney is a dedicated middle school STEM educator with a focus on fostering hands-on learning and critical thinking in engineering and robotics from Great Oaks Career Campuses, Cincinnati, Ohio. Currently teaching a 7th-grade Engineering and Design course using Autodesk Inventor Professional (CAD) and an 8th-grade Robotics and Programming course using VEX Robotics, Joshua brings practical, real-world applications into the classroom to inspire students in STEM fields.
With a strong background in professional development, Joshua has presented on various robotics programming and technology integration topics. At the PLTW National Summit in 2014, he co-presented “Experience the PLTW Gateway in Action.” He has also served as a lead presenter at multiple Ohio PLTW Fall Conferences, including “Gateway to Technology Best Practices” (2014), “Programming in Automation and Robotics” (2015), and “Programming with Conditionals, Variables, Functions, and VEX Remote Controllers” (2016). More recently, in 2020, 2022, and 2023, he led sessions on Automation and Robotics at Great Oaks Career Campuses Professional Development.
In addition to classroom teaching, Joshua collaborates with PLTW and universities across the United States to train fellow educators in middle school robotics and programming, sharing strategies for building engaging, skill-based curricula.
Professor Aldo Faisal
Biography:
Professor Aldo Faisal is the Professor of AI & Neuroscience at the Dept. of Computing and the Dept. of Bioengineering at Imperial College London. He was awarded a prestigious UKRI Turing AI Fellowship (£2 Mio including industry partners). Aldo is the Founding Director of the £20Mio. UKRI Centre for Doctoral Training in AI for Healthcare that aims to transform AI for Healthcare research and pioneer training 100 PhD and Clinical PhD Fellows. He also holds a Chair in Digital Health at the University of Bayreuth (Germany).At his two departments, Aldo leads the Brain & Behaviour Lab focussing on AI & Neuroscience and the Behaviour Analytics Lab at the Data Science Institute. He is Associate Investigator at the MRC London Institute of Medical Sciences and is affiliated faculty at the Gatsby Computational Neuroscience Unit (University College London). He was the first elected Speaker of the Cross-Faculty Network in Artificial Intelligence representing AI in College on behalf of over 200 academic members. Aldo serves as an Associate Editor for Nature Scientific Data and PLOS Computational Biology and has acted as conference chair, program/area chair, chair in key conferences in the field (e.g. Neurotechnix, KDD, NIPS, IEEE BSN). In 2016 he was elected into the Global Futures Council of the World Economic Forum. Aldo received a number of awards and distinctions, including Scholar of the German National Merit Foundation (Studienstiftung des Deutsche Volkes; Undergraduate & PhD), a PhD Fellow of the Böhringer-Ingelheim Foundation for Basic Biomedical Research, elections as a Junior Research Fellow at the University of Cambridge (Wolfson College), and a number of research prizes and award such as the Toyota Mobility Foundation $50,000 Research Discovery Prize in 2018, and together with the AI Clinician team the Rosetree Interdisciplinary Award (£300,000) in 2022. Aldo’s lab featured regularly across global media (such as BBC, CNN, TED, TEDx, Wall Street Journal, Guardian, Financial Times , WIRED, Scientific American, New Scientist, etc.), e.g. in 2016 Scientific American voted his research on gaze-based control as 1st of 10 most transformative ideas of year. Dr Faisal’s labs is operated as a borderless lab across UK and Germany. The UK lab at Imperial is located in the Royal School of Mines building and combine cross-disciplinary computational and experimental approaches to investigate how the brain and behaviour evolved to learn and control goal-directed behaviour. The neuroscientific findings enable the targeted development of novel technology for clinical and research applications (Neurotechnology) for a variety of neurological/motor disorders and amputees. Key techniques include on the computational side are data-driven methods from machine learning & stochastic modelling techniques and experimentally we use sensorimotor experiments, eye-tracking & kinematics (full-body, hands), non-invasive brain imaging (EEG, fNIRS), robotics (hand & arm robots). Dr Faisal’s Behaviour Analytics lab located in the Data Science Institute objective is the data-driven analysis of human behaviour and pioneering development of methods & algorithms to move in a principled manner from Big Data to Big Knowledge. Keys goals are, understand and predict human behaviour from ubiquitous sensors & digital data, predict and evaluate human performance, Infer internal or cognitive state (stress, risk) of individuals from behavioural dynamics, develop behavioural biomarkers of physiological and psychological well-being and bottom-up analysis of group and social dynamics from the decisions of individuals.
Dr. Mokhlesur Rahman
Biography:
Dr. Mokhlesur Rahman, Senior Education Specialist, has spearheaded diverse education projects across South Asia, East Asia and the Pacific, and West Africa. Presently, he leads the Free Education Project and Skills Development Project in Sierra Leone, collaborating closely with the Ministry of Basic and Senior Secondary Education and the Ministry of Technical and Higher Education to enhance human capital development. His primary focus is on advancing Sustainable Development Goal 4 and associated targets, while also integrating green skills and education to support Sierra Leone’s green growth agenda.
With experience in various United Nations and bilateral agencies, Dr. Rahman has contributed to knowledge and skills development across several countries, including Afghanistan, Bangladesh, Bhutan, Cambodia, China, India, Nepal, the Philippines, Senegal, and Tajikistan. His expertise spans policy formulation, portfolio management, and project implementation in education.
Notable achievements include advancing gender parity in primary and secondary education in Bangladesh and facilitating the return of girls to school in Afghanistan, marking significant milestones in human development.
Amitava Roy
Biography:
Amitava Roy is a computational structural biologist who, until recently, worked at the Bioinformatics and Computational Biosciences Branch at NIAID, NIH, USA. He is a Faculty Affiliate at the Department Of Biomedical And Pharmaceutical Sciences of the University of Montana, USA, and a Fulbright Scholar visiting the National Science and Technology Development Agency of Thailand. He received his B.Sc. and M.Sc. in Physics from Visvabharati University, Santiniketan, India. Subsequently, he received an M.S. in electrical engineering and a Ph.D. in high energy physics from Purdue University, USA. His research at Purdue contributed to the discovery of Higgs Boson at CERN in 2012. After graduation, he changed his career and did his first post-doc in computational biology at the Weill Cornell Medical College of Cornell University, USA, and a subsequent one at Purdue University, USA. His research interests are investigating protein-protein and protein-small molecule interactions and protein dynamics using computational tools, focusing on allosteric regulations in biomolecules.
Dr. Javed I. Khan
Biography:
Dr. Javed I. Khan is a professor (and former Chair) of the Department of Computer Science at Kent State University. Dr. Javed I. Khan’s research team specializes in advanced cyberinfrastructure, applying multi-area expertise in cross-cutting problems in wide-area networking, modelling of complex systems, and active & programmable networking. Besides being an avid researcher, Javed, a founding faculty of the CSE, BUET also is passionately active in global CS education and cyberinfrastructure. His effort in preparing 21st Century workforce in Computing has received 4 million in funding from the Ohio Department of Education. Since 2024, he is serving as a member of International Expert Committee of K-Digital Initiative organized by the Govt. of South Korea and IDB. For two decades, he has advised World Bank’s higher education divisions in advanced cyberinfrastructure for higher education also serving as the area expert in the Fulbright National Roster of experts as a Senior Specialist on high-performance education networking and the digital divide. He has worked with many government policymakers, non-profit sector, business entities, faculty, and administrators and experts from 20+ countries including Ethiopia, Vietnam, Mozambique, Rwanda, Kenya, Ghana, India, Singapore, USA, Malaysia, Ireland, Greece, Pakistan, Nepal, Bhutan, Afghanistan, Maldives, Sri-Lanka, Bangladesh and South Korea. Javed contributed to a formulary model of developing national advanced network infrastructure, which has been successfully used as a foundation for the rapid digital uplift of the higher education sector of a developing country. He is also the concept proposer and designer of two national high-speed advanced network infrastructures- BdREN -the national REN of Bangladesh, and NgREN -the national REN of Nigeria. In US, Javed, as the Principal Investigator for three recent major NSF cyberinfrastructure awards funded by the Office of Advanced Cyberinfrastructure (OAC) of the US National Science Foundation, is working on successor models of REN. These are part of a grand US initiative to design a new science cyberinfrastructure (NCI) with hyper-scale Data Transfer Nodes (DTNs) established at various continental locations, including all research HEIs and US national science facilities capable of blasting off ‘friction-free’ 100 Gbps app-to-app throughput to enable massive data and computing-intensive science for US HEIs. He is also leading another award ($2 million) from the State of Ohio on advanced-skill digital workforce development. He is a member of ACM, IEEE, and the Internet Society. He has first-authored 100+ peer-reviewed publications and serving as associate editor for Elsevier Journal of Networking and Applications. He has served as editor for 100+ journal articles in his area and on a national panel on next-generation communications. His research has been funded by various agencies, including NSF, DARPA, NASA, Wright Patterson Air Force Research Lab (WP-AFRL), the US Department of State, and the State of Ohio.
More information about his research is at http://medianet.kent.edu/