Prof. Eiman Kanjo’s Post

1 to 2 PhD student/s in Computing Science with focus on Interactive Systems that Reason Spatially Project description Current AI technology surpasses humans in pattern recognition tasks, but it falls short on general world knowledge understanding, common sense reasoning, and the human capabilities of explaining the process followed to solve a problem. Our project goal is to design and develop interactive systems that reason spatially and which are centred in the human user (e.g. to expand their skills, instead of replacing them). This project will make contributions to an enriching user interaction with autonomous systems in a bidirectional way: (i) users’ interaction enhances the spatial reasoning by the autonomous system; and (ii) users’ spatial skills are improved by interaction with the system. This 4-year PhD project is funded by the Wallenberg foundation, WASP program. You will work in at the Department of Computing Science under the supervision by Associate Professor Zoe Falomir. Her group conducts research in spatial reasoning, spatial cognition and cognitive human-computer interaction. We collaborate with several national and international research groups. We use principles and methods of Artificial Intelligence, Human-Computer Interaction, and Cognitive Science. Link to apply: https://lnkd.in/eCHX2N6x

Don’t miss the opportunity: AI students who are starting their master’s studies at Technische Universität Dresden or Leipzig University or are already enrolled can apply for scholarships by the SECAI School of Embedded Composite AI until 30 June! SECAI is one of the three Konrad Zuse Schools of Excellence in Artificial Intelligence, which are financed with funds from the Bundesministerium für Bildung und Forschung. They focus on different aspects of AI research and provide excellent research-based education in Germany. With its scholarships, SECAI supports outstanding students whose studies are closely related to its research areas. These include, but are not limited to, the following MSc programmes: - Nanoelectronic Systems (TU Dresden) - Tracks “AI Engineering”, “Computational Life Science”, and “Logical Modelling” of Computational Modelling and Simulation (TU Dresden) - Data Science (Leipzig University) - Bioinformatics (Leipzig University) - Medical Informatics (Leipzig University) Recipients will receive funding for the remaining duration of their studies according to the model study plan (“Regelstudienzeit”). More information on SECAI and the scholarships can be found here: ➡️ https://lnkd.in/e5y_YbHv #DAAD #ChangeByExchange #ZuseSchoolsAI #AI #AIResearch #AITalents #scholarship

🌍 We are excited to welcome Giorgia Adorni from Switzerland to the Voices of Science Initiative! Giorgia is a Ph.D. student at The Swiss AI Lab IDSIA, where her research focuses on Intelligent Tutoring and Assessment Systems (ITAS) aimed at improving computational thinking in students. 🤖💡 She is conducting exploratory studies across Switzerland to investigate how AI can assess and enhance algorithmic thinking in young learners, adapting to diverse linguistic and educational contexts. Her work strives to create adaptive learning environments that personalize instruction, fostering better engagement and learning outcomes. Giorgia is passionate about bridging the gap between theoretical knowledge and practical application using AI and robotics in education. We are thrilled to have her as part of our community! 🎓✨ Voices of Science is a community-driven initiative aimed at empowering the next generation of scientific heroes—young researchers and PhD students—by providing a platform to share your groundbreaking work with the world. Whether your expertise lies in mechanics, space, food engineering, physics, mathematics, civil engineering, electronics, biology, chemistry, computer science, economics, arts, commerce, business, or any other field, your voice matters. If you are passionate about communicating your work and want to be a part of Voices of Science, we want to hear from you😊😊😊! Join us by clicking here: https://lnkd.in/eQy9XPgJ #ScienceCommunication #AIinEducation #ComputationalThinking #STEMEducation #EdTech #VoicesOfScience #GlobalResearch #STEM #ArtificialIntelligence

Welcome to the Max Planck Symposium 2024, workshop host Filippo Guarnieri, alumnus of the MPI for Gravitational Physics. 📚 How to load and use #open-source #AI models, along with use cases for research and education 📑 In this hands-on workshop, we will explore the main use cases and benefits of AI models in education and research. We will then learn how to load open-source models for text and image generation from online #repositories, how to use them to generate summaries or explanations from paragraphs, and how to generate images from a textual prompt. No previous knowledge of generative artificial intelligence is needed. A computer and a Google account are required to load and use the models 📢 Registration OPEN for the 9th Max Planck Symposium for Alumni and Early Career Researchers (27.-28.6.2024, Harnack House Berlin) 💡 In the light of global crises, education and educational equality continues to be at risk – at the same time, education and learning is undergoing drastic changes due to the rise of AI and digital tools. We will discuss “The future of education around the world” and careers therein in the course of keynotes, workshops, focus talks, fireside chats and of course fun evening activities. 📆 We're excited to present all speakers and their topics within the next week, here on LinkedIn. Watch out for topics that spark your interest and register if you are a Max Planck Alumnus/Alumna or an active Max Planck Early Career Researcher (master/doctoral student, postdoc, group leader etc) -- the conference is free of charge and we still have very few travel stipends available for alumn*ae. www.mpg.de/symposium2024 #education #educationalequality #educationai #career #future #ethics #maxplanckalumni #maxplanckearlycareerresearchers

📣 Exciting AI/ML Webinar this Friday Dec. 6 at 1pm PST/4pm EST! 📣 (Registration below) The next installment of our AI Virtual Webinar Series will feature Shep Bryan IV PhD from Arizona State University, who will discuss mapping inference to physics for improving and optimizing contemporary neural nets and learning algorithms. Shep and I shared the same PhD cohort in the Arizona State University - Department of Physics, and remain good friends to this day! Our second speaker, Di Luo, will address generative models inspired by physical processes, and present an efficient algorithm for LLMs inspired by quantum simulations. Dr. Luo recently completed his postdoc at the Massachusetts Institute of Technology, and is currently an assistant professorship at UCLA, within the UCLA Henry Samueli School of Engineering and Applied Science. I have had the pleasure of sharing several quantum-computational conversations with Dr. Luo, whose expertise I find particularly inspiring. Registration is free and open to both members and non-members of the APS: https://lnkd.in/gBTfVtgC Please join us for this wonderful event! This workshop is made possible by the American Physical Society Forum on Graduate Student Affairs (FGSA), Forum for Early Career Scientists (FECS), and Group on Data Science (GDS) (and extended efforts by Jacqueline Acres). . . . #ai #artificialintelligence #ml #machinelearning #deeplearning #physics #technology #computerscience #datascience #algorithm #quantum #quantumcomputing #llm #languagemodel

Xiaoming Zhai, an associate professor at the Mary Frances Early College of Education and a faculty member in the Online Master of Education (M.Ed.) in Science Education program, has co-edited a groundbreaking book on artificial intelligence (AI) in STEM education. The book, Uses of Artificial Intelligence in STEM Education (Oxford University Press, 2024), highlights interdisciplinary research on integrating AI into science, technology, engineering, and mathematics education. https://hubs.la/Q02Z6zMg0

“There are still many unanswered questions,” says Xinyi Zhang, graduate fellow at the Schmidt Center and fourth-year PhD student at MIT EECS. “I want to pick questions that are biologically meaningful, that help us understand things we didn’t know before.” Learn more about Xinyi’s research and her efforts in building computational frameworks and principles to understand the regulatory mechanisms of cells: https://lnkd.in/eMA3apNY Broad Institute of MIT and Harvard Caroline Uhler #SchmidtCenter #BroadInstitute #MIT #EECS #LIDS #IDSS #CarolineUhler #ML #MachineLearning #MultimodalData #ComputationalTools #STACI #ScienceNews #ScientificResearch

Welcome to the Max Planck Symposium 2024, keynote speaker Katarzyna Abramczuk, alumna of the Max Planck Institute for Human Development 🎤 From #Discord to #Discourse: Empowering Societies with Computational Tools 📑 With an increasingly turbulent society, the demand for analysing complex behavioural dynamics using computational methods is rising. These methods contribute to our understanding of many social problems such as managing shared resources, collective action, social segregation, and polarisation. Their additional benefit is that they allow for abstraction from various particularities and a focus on mechanisms and their consequences. Thus they are a viable starting point for wider societal dialogue. Following the belief that understanding is a potent empowering tool enabling the acquisition of a wider perspective, a group of researchers from the Uniwersytet Warszawski / University of Warsaw, the University of Groningen, the Alexander von Humboldt Institute for Internet and Society, and the University of Tartu has started educational projects aimed at teaching computational approaches to social problems. The first of these projects – Action for Computational Thinking in Social Sciences - was aimed at fostering the development of computational thinking among social science students and young professionals. It developed a programme of Massive Open Online Courses (#MOOCs) combining academic expertise and real-world examples in which computational models are used to analyse societal processes. The second project -  Action for Interactive Anti-Polarisation Learning Experiences for a Better Democracy – is aimed at wider audiences. It will be using simulation models to create engaging, accessible and immersive game-based learning experiences about mechanisms leading to polarisation that will be implemented as a free MOOC and a series of workshops for university students and for schools. 📢 Registration OPEN for the 9th Max Planck Symposium for Alumni and Early Career Researchers (27.-28.6.2024, Harnack House Berlin) 💡 In the light of global crises, education and educational equality continues to be at risk – at the same time, education and learning is undergoing drastic changes due to the rise of AI and digital tools. We will discuss “The future of education around the world” and careers therein in the course of keynotes, workshops, focus talks, fireside chats and of course fun evening activities. 📆 We're excited to present all speakers and their topics within the next week, here on LinkedIn. Watch out for topics that spark your interest and register if you are a Max Planck Alumnus/Alumna or an active Max Planck Early Career Researcher (master/doctoral student, postdoc, group leader etc) -- the conference is free of charge and we still have very few travel stipends available for alumn*ae. www.mpg.de/symposium2024 #education #educationalequality #educationai #career #future #ethics #maxplanckalumni #maxplanckearlycareerresearchers

🚀 I'm back with the last exciting research topic! If you’re looking to start a #PhD here’s your chance to dive into groundbreaking #AI for the sciences. 🌟 🔑 Final Topic Highlight: Multimodal AI in Science! In this area, you’ll explore how #Multimodal models can revolutionize scientific research, building AI that understands complex physical sciences. This research aims to harness the power of AI across diverse scientific fields, developing models that not only interpret but also contribute to real-world scientific challenges. By joining the ETH AI Center, you’ll work side-by-side with IBM Research experts and leading academics, driving forward the impact of AI in scientific discovery. 🌍 Ready to shape the future of #AI in science? 👉 Apply now and join a vibrant community dedicated to trustworthy and innovative #AI! 📅 Deadline: November 19 🔗 https://ai.ethz.ch/apply Thank you for following this series—now it’s time to take the next step toward your PhD journey! 🚀

PhD student in Computing Science with focus on serverless edge AI Project description Serverless edge AI is a transformative shift in computing architecture, merging serverless edge computing and artificial intelligence (AI) to harness and abstract the distributed cloud-edge resources. Unlike traditional serverless solutions, such as Function as a Service (FaaS) technology, which struggle with real-time adaptability, efficient function placement, and cost management, serverless edge AI allows AI models to be deployed closer to data sources, enhancing performance with lower latency, faster response times, scalability, and stronger privacy controls. This approach abstracts infrastructure management, enabling real-time AI processing directly where data is generated or consumed, meeting critical demands for reliability, privacy, and energy efficiency. This project aims to investigate and develop a serverless edge AI framework that addresses key challenges, such as enabling learning and inference at the edge for efficient resource orchestration, dynamically relocating workloads, supporting FaaS application mobility, and forecasting energy use and workload distribution across the cloud-edge continuum. By building an optimized framework with advanced algorithms (e.g., deep neural networks, sequence modeling, and multi-objective optimization), this project will enhance edge-based learning and decision-making, allowing for efficient orchestration of distributed resources. Key functionalities include intelligent serverless function execution, smart edge cluster provisioning, on-demand workload relocation, and device-specific model personalization. The framework and algorithms will be rigorously tested in real-time and simulation environments, demonstrating notable advantages over traditional centralized cloud models. Link to application: https://lnkd.in/eRETFiRW