The goal is to be more efficient, to collect more data, and to better understand what makes a good course. Introducing robots into the process of manufacturing brings multiple benefits to the producer. The future of computer-assisted education, Computer science & high-dimensional data modeling, Computer science: imperative vs. declarative languages, The use of blockchain and AI for algorithmic regulations. This article was developed by the editorial team of Custom-Writing.org, a professional writing service with 3-hour delivery. How soon we will see Elon Musks Hyperloop? Design an optimized algorithm for a specific combinatorial class. Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. But often, users will actually be strictly happier to deviate from the intended protocol. This model can have numerous advantages over the traditional time-bounded model, such asvery simple protocols and unconditional security proofs. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on itswebsite. High-throughput screening & biotechnology. How can methods of energy transformation be applied with hydrogen energy? Implementation and algorithm engineering for control, reinforcement learning and robotics, Implementation and algorithm engineering for time series prediction. dpw (@cs.princeton.edu) Many people probably picture robots from the movie I, Robot when they hear about artificial intelligence. It may solve the problem of some diseases that were considered untreatable before. The possibility of 3D printing of micro stirling engines. New specialty drugs and therapies arrive to treat chronic diseases. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria. How should we reason about user behavior in these protocols? My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar. Is it a good thing that technologies and computer science are developing so fast? It is a great way to correct the consumption of energy in real-time.More development is also done on the issue of electricity generation. What machines are used in the food industry? Statistical models for specific questions: Causal inference and instrumental variable analysis, Model checking with posterior predictive checks, Inference of undirected network from observational and time-series data, Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology. So that people use public transport more, it should be more accessible and comfortable. Research areas: Probabilistic algorithms (data streaming algorithms & random generation), data analysis, data structures. Do prescription drug monitoring programs really work? The benefits of the electronic medical records, Erythrocytapheresis to treat sickle cell disease, Defibrillator & cardiac resynchronization therapy. Analyze an algorithm using precise analytic combinatorics. While working with individual patients, they will be able to consider multiple factors with the help of data provided. Quantum and Post-quantum Cryptography: Quantum computers can break much of the cryptography used today. How does the machine architecture affect the efficiency of code? Mechanism design (could be on a problem proposed by the student). One of the solutions is using shared vehicle phone applications. Design and/or analyze various data structures and combinatorial algorithms. At the same time, the latest trend is using private electric vehicles such as scooters and bikes. How have social media changed communication? New media: the importance of ethics in the process of communication, The development of communication via computer over the last decade. Natural language processing vs. machine learning, Artificial intelligence in computer vision, Computer vision application: autonomous cars, Recommender systems: content-based recommendation vs. collaborative filtering, Internet of things & artificial intelligence: the interconnection. undergraduate Research areas: Natural Language Processing, Deep Learning. Is it possible to build trustful relationships in virtual communication? Some topics do not interest you at the very least, while others might shock your teachers. Here are some example projects: Design/improve an OMR (Optical Mark Recognition) project that is currently being deployed for the computer assisted grading of exams. Possible areas include graphics, compression, biology, among many others. It is a system that gives another perspective for the prescribers. An example from Computer Science could include usingTigerEnergy, a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Here are some ideas on artificial intelligence research topics that you can look into: Biotechnology uses living organisms to modify different products. In school and college, you will be required to write research papers. Are lithium-air batteries better than gasoline? How do next-generation GPS devices adjust the route for traffic? Expect to work with corporate security and technology decision-makers. The process of investigating a topic in history is Argumentative research paper topics are a lot easier to find than to come up with. Topics in computational and communication complexity. oriented Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science, Gamification of neuroscience (EyeWire 2.0), Semantic segmentation and object detection in brain images from microscopy, Computational analysis of brain structure and function, Neural network theories of brain function. However, it guarantees the constant production of electricity as long as they have fuel. Can you imagine that 23 years ago it didnt exist? The trends in this area include second-generation biofuels and photovoltaic glass. Yes papers in the plural. The issue of food waste is also getting more and more relevant. They use technologies to create safer packaging. Electronic nose in food industry and agriculture, Smart inhalers as the new solution for asthma treatment. They apply advanced data analytics to optimize their work. On the other hand, if more people start preferring private vehicles, it may cause even more traffic issues. In agriculture, more and more research is done on biological treatment and modifying plants. principles mining undergraduate computer science isbn topics data Research areas: programming languages, program analysis, program verification, automated reasoning. Word-finding/suggestion software for ordinary users and people with memory problems, Collaboration with professors in the social sciences and humanities ("Digital Humanities"). On the other hand, computer engineering maintains a computers body hardware and software. (612) 625-4002 csdesk@umn.edu, Department of Computer Science and Engineering, Keller Hall - Accessible and Inclusive Facilities, Computer Science Graduate Student Association (CSGSA), Architectures, Compiler Optimization, and Embedded Systems, Data Mining, Databases, and Geographical Information Systems, Networks, Distributed Systems, and Security, Software Engineering and Programming Languages. Companies try to reduce the cost and boost the effectiveness of the medicines. How to choose the right algorithm for machine learning? Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior. To do a project with an adviser outside of computer science you must have permission of the department. Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ). 2022 The Trustees of Princeton University. Well write a unique paper tailored to yourinstructions. Siri and self-driving cars are also examples of applied AI. Text (or data) clustering and processing; linguistic analysis (especially with French, German, Spanish, etc.). Distributed transaction algorithms and implementations. Design and implement a parallel application. Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487). Design a domain-specific programming language, or prototype a new feature for an existing language. What can monitoring systems be used to manage curb space? Privacy Policy We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science. There are many exciting trends in biotechnology now that carry the potential of changing our world! Terms of Use Given a collection of small mobile robots, apply control policies learned in simulation to the real robots. undergraduate topics computer science A new perspective on treatment: medicines from plants, Anticancer nanomedicine: a pharmaceutical hope, Electric vs. hybrid cars: compare & contrast. Three CS students used TigerEnergy to create alive energy heatmap of campus. Let's explore ways to use containment to solve real problems. Prominent examples includequantum key distribution securely exchanging keys in the presence of an all-powerful eavesdropper and quantum money, where the unforgeability of banknotes is guaranteed by the quantum no-cloning theorem. How do robots improve safety in butchery? The constant research in the area of pharma is paying off. It helps them see the full picture and analyze the current state of the fields. There are 20 topics in each category, along with a short explanation of the most recent trends in the area. bwk (@cs.princeton.edu) Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks. If talking about trends and innovations, artificial intelligence development is probably the main one in the area of computer science technology. Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications. Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures. It allows operations to be less invasive and precise. Independent Research Topics (from AY 2017-2018): Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training), Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes, Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image.