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Top ten computer science education research papers recognized
SIGCSE Symposium highlights research that has shaped the field
Association for Computing Machinery
As a capstone to its 50th annual SIGCSE Technical Symposium, leaders of the Association for Computing Machinery (ACM) Special Interest Group on Computer Science Education (SIGCSE) are celebrating the ideas that have shaped the field by recognizing a select group of publications with a "Top Ten Symposium Papers of All Time Award." The top ten papers were chosen from among the best papers that were presented at the SIGCSE Technical Symposium over the last 49 years.
As part of the Top Ten announcement today in Minneapolis, the coauthors of each top paper will receive a plaque, free conference registration for one co-author to accept the award and up to a total of $2,000 that can be used toward travel for all authors of the top ranked paper.
"In 1969, the year of our first SIGCSE symposium, computing education was a niche specialty" explains SIGCSE Board Chair Amber Settle of DePaul University, of Chicago, USA. "Today, it is an essential skill students need to prepare for the workforce. Computing has become one of the most popular majors in higher education, and more and more students are being introduced to computing in K-12 settings. The Top Ten Symposium Papers of All Time Award will emphasize the outstanding research that underpins and informs how students of all ages learn computing. We also believe that highlighting excellent research will inspire others to enter the computing education field and make their own contributions."
The Top Ten Symposium Papers are:
Computing educators are often baffled by the misconceptions that their CS1 students hold. We need to understand these misconceptions more clearly in order to help students form correct conceptions. This paper describes one stage in the development of a concept inventory for Computing Fundamentals: investigation of student misconceptions in a series of core CS1 topics previously identified as both important and difficult. Formal interviews with students revealed four distinct themes, each containing many interesting misconceptions.
Pair programming is a practice in which two programmers work collaboratively at one computer, on the same design, algorithm, or code. Prior research indicates that pair programmers produce higher quality code in essentially half the time taken by solo programmers. The authors organized an experiment to assess the efficacy of pair programming in an introductory Computer Science course. Their results indicate that pair programming creates a laboratory environment conducive to more advanced, active learning than traditional labs; students and lab instructors report labs to be more productive and less frustrating.
During a year-long study, the authors examined the experiences of undergraduate women studying computer science at Carnegie Mellon University, with a specific eye toward understanding the influences and processes whereby they attach themselves to or detach themselves from the field. This report, midway through the two-year project, recaps the goals and methods of the study, reports on their progress and preliminary conclusions, and sketches their plans for the final year and the future beyond this particular project.
Peer Instruction (PI) is a student-centric pedagogy in which students move from the role of passive listeners to active participants in the classroom. This paper adds to this body of knowledge by examining outcomes from seven introductory programming instructors: three novices to PI and four with a range of PI experience. Through common measurements of student perceptions, the authors provide evidence that introductory computing instructors can successfully implement PI in their classrooms.
Schneider describes the crucial goals of any introductory programming course while leaving to the reader the design of a specific course to meet these goals. This paper presents ten essential objectives of an initial programming course in Computer Science, regardless of who is teaching or where it is being taught. Schneider attempts to provide an in-depth, philosophical framework for the course called CSI -- Computer Programming I -- as described by the ACM Curriculum Committee on Computer Science.
Constructivism is a theory of learning which claims that students construct knowledge rather than merely receive and store knowledge transmitted by the teacher. Constructivism has been extremely influential in science and mathematics education, but not in computer science education (CSE). This paper surveys constructivism in the context of CSE, and shows how the theory can supply a theoretical basis for debating issues and evaluating proposals.
Introductory computer science students have relied on a trial and error approach to fixing errors and debugging for too long. Moving to a reflection in action strategy can help students become more successful. Traditional programming assignments are usually assessed in a way that ignores the skills needed for reflection in action, but software testing promotes the hypothesis-forming and experimental validation that are central to this mode of learning. By changing the way assignments are assessed--where students are responsible for demonstrating correctness through testing, and then assessed on how well they achieve this goal--it is possible to reinforce desired skills. Automated feedback can also play a valuable role in encouraging students while also showing them where they can improve.
Gries argues that an introductory course (and its successor) in programming should be concerned with three aspects of programming: 1. How to solve problems, 2. How to describe an algorithmic solution to a problem, and 3. How to verify that an algorithm is correct. In this paper he discusses mainly the first two aspects. He notes that the third is just as important, but if the first two are carried out in a systematic fashion, the third is much easier than commonly supposed.
This study was conducted to determine factors that promote success in an introductory college computer science course. The model included twelve possible predictive factors including math background, attribution for success/failure (luck, effort, difficulty of task, and ability), domain specific self-efficacy, encouragement, comfort level in the course, work style preference, previous programming experience, previous non-programming computer experience, and gender. Subjects included 105 students enrolled in a CS1 introductory computer science course at a midwestern university. The study revealed three predictive factors in the following order of importance: comfort level, math, and attribution to luck for success/failure.
An objects-first strategy for teaching introductory computer science courses is receiving increased attention from CS educators. In this paper, the authors discuss the challenge of the objects-first strategy and present a new approach that attempts to meet this challenge. The approach is centered on the visualization of objects and their behaviors using a 3D animation environment. Statistical data as well as informal observations are summarized to show evidence of student performance as a result of this approach. A comparison is made of the pedagogical aspects of this new approach with that of other relevant work.
Annual Best Paper Award Announced
Today SIGCSE officers also announced the inauguration of an annual SIGCSE Test of Time Award. The first award will be presented at the 2020 SIGCSE Symposium and recognize research publications that have had wide-ranging impact on the field.
The Special Interest Group on Computer Science Education of the Association for Computing Machinery (ACM SIGCSE) is a community of approximately 2,600 people who, in addition to their specialization within computing, have a strong interest in quality computing education. SIGCSE provides a forum for educators to discuss the problems concerned with the development, implementation, and/or evaluation of computing programs, curricula, and courses, as well as syllabi, laboratories, and other elements of teaching and pedagogy.
ACM, the Association for Computing Machinery, is the world's largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field's challenges. ACM strengthens the computing profession's collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.
Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.
50+ Best Topics for Research in Computer Science
What is computer science.
Computer science is the study of the design, implementation, and maintenance of software systems. It is a rapidly growing field that is constantly evolving, and computer science graduates are in high demand.
How To Choose Computer Science Research Topics?
There is no one answer to this question since it depends on your individual interests and goals. However, here are five general tips to keep in mind when choosing a research topic in computer science:
- Choose a topic that you are passionate about.
- Make sure the topic is feasible and that you have the necessary resources to complete the research.
- Consider the impact of your research. Will it be useful or interesting to others?
- Make sure the topic is not too narrow or too broad.
- Get advice from your supervisor or other experts in the field.
Interesting Computer Science Research Topics
- How can computer science be used to solve real-world problems?
- What are some of the most promising areas of research in computer science?
- What are some of the challenges faced by computer science researchers?
- What are some of the ethical issues involved in computer science research?
- What are some of the social implications of computer science research?
Top Technology Research Paper Topics
- How will 5G technology change the way we live and work?
- What are the implications of quantum computing?
- How will autonomous vehicles change transportation?
- What are the ethical implications of artificial intelligence?
- How will the Internet of Things change the way we live and work?
- What are the implications of 3D printing?
- How will virtual reality change the way we interact with the world?
- What are the implications of blockchain technology?
- How will wearables change the way we live and work?
- What are the implications of artificial intelligence in healthcare?
Research Paper Topics in Computer Science
- What are the most important research areas in computer science?
- What are the most important challenges facing computer science today?
- What are the most important trends in computer science research?
- What are the most important challenges facing computer science education today?
Computer Science Engineering Research Topics
- The history of computer science and engineering.
- The future of computer science and engineering.
- The impact of computer science and engineering on society.
- The ethical implications of computer science and engineering.
- The role of computer science and engineering in education.
- The role of computer science and engineering in business.
- The role of computer science and engineering in government.
- The impact of computer science and engineering on the environment.
- The impact of computer science and engineering on the economy.
- The future of computer science and engineering jobs.
Computer Science Research Paper Topics For High School
- The history of computer science and its impact on society.
- The future of computer science and its impact on society.
- The impact of computer science on society and the economy.
- The impact of computer science on education.
- The impact of computer science on the environment.
Controversial Topics in Computer Science
- Should the government regulate the internet?
- Should the government provide free internet access?
- Should the government censor the internet?
- Should the government tax internet use?
- Should the government subsidize internet access?
- Should the government build a national broadband network?
- Should the government require net neutrality?
- Should the government ban online gambling?
- Should the government ban online pornography?
- Should the government regulate online speech?
Latest Research Topics in Computer Science
- Big data and machine learning
- Cloud computing
- Internet of Things
- Blockchain technology
- Cybersecurity 6. Natural language processing
- Augmented reality and virtual reality
- Artificial intelligence
Research Topics in Computer Science for Undergraduate Students
- How can machine learning be used to improve the accuracy of predictions made by computer systems?
- How can big data be effectively managed and analyzed using computer systems? 3. How can computer systems be designed to better protect user privacy?
- How can computer systems be made more secure against attacks?
- How can the performance of computer systems be improved?
Quick and Easy Computer Science Research Paper Topics
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224 Research Topics on Technology & Computer Science
Are you new to the world of technology? Do you need topics related to technology to write about? No worries, Custom-writing.org experts are here to help! In this article, we offer you a multitude of creative and interesting technology topics from various research areas, including information technology and computer science. So, let’s start!
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- 🔝 Top 10 Topics
👋 Introduction
- 💾 Top 10 Computer Science Topics
⚙ Artificial Intelligence
💉 biotechnology, 📡 communications and media.
- 💻Computer Science & Engineering
🔋 Energy & Power Technologies
🍗 food technology, 😷 medical devices & diagnostics, 💊 pharmaceutical technologies.
- 🚈 Transportation
✋ Conclusion
🔍 references, 🔝 top 10 technology topics.
- The difference between VR and AR
- Is genetic engineering ethical?
- Can digital books replace print ones?
- The impact of virtual reality on education
- 5 major fields of robotics
- The risks and dangers of biometrics
- Nanotechnology in medicine
- Digital technology’s impact on globalization
- Is proprietary software less secure than open-source?
- The difference between deep learning and machine learning
Is it a good thing that technologies and computer science are developing so fast? No one knows for sure. There are too many different opinions, and some of them are quite radical! However, we know that technologies have changed our world once and forever. Computer science affects every single area of people’s lives.
Just think about Netflix . Can you imagine that 23 years ago it didn’t exist? How did people live without it? Well, in 2023, the entertainment field has gone so far that you can travel anywhere while sitting in your room. All you would have to do is just order a VR (virtual reality) headset. Moreover, personal computers give an unlimited flow of information, which has changed the entire education system.
Every day, technologies become smarter and smaller. A smartphone in your pocket may be as powerful as your laptop. No doubt, the development of computer science builds our future. It is hard to count how many research areas in technologies and computer science are there. But it is not hard to name the most important of them.
Artificial intelligence tops the charts, of course. However, engineering and biotechnology are not far behind. Communications and media are developing super fast as well. The research is also done in areas that make our lives better and more comfortable. The list of them includes transport, food and energy, medical, and pharmaceutical areas.
So check out our list of 204 most relevant computer science research topics below. Maybe one of them will inspire you to do revolutionary research!
💾 Top 10 Computer Science Research Topics
💡 technologies & computer science: research ideas.
Many people probably picture robots from the movie “I, Robot” when they hear about artificial intelligence. However, it is far from the truth.
AI is meant to be as close to a rational way of thinking as possible. It uses binary logic (just like computers) to help solve problems in many areas. Applied AI is only aimed at one task. A generalized AI branch is looking into a human-like machine that can learn to do anything.
Applied AI already helps researchers in quantum physics and medicine. You deal with AI every day when online shops suggest some items based on your previous purchases. Siri and self-driving cars are also examples of applied AI.
Generalized AI is supposed to be a copy of multitasking human intelligence. However, it is still in the stage of development. Computer technology has yet to reach the level necessary for its creation.
One of the latest trends in this area is improving healthcare management. It is done through the digitalization of all the information in hospitals and even helping diagnose the patients.
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Also, privacy issues and facial recognition technologies are being researched. For example, some governments collect biometric data to reduce and even predict crime.
Research Topics on Artificial Intelligence Technology
Since AI development is exceptionally relevant nowadays, it would be smart to invest your time and effort into researching it. Here are some ideas on artificial intelligence research topics that you can look into:
- What areas of life machine learning are the most influential?
- How to choose the right algorithm for machine learning?
- Supervised vs. unsupervised machine learning: compare & contrast
- Reinforcement machine learning algorithms
- Deep learning as a subset of machine learning
- Deep learning & artificial neural networks
- How do artificial neural networks work?
- A comparison of model-free & model-based reinforcement learning algorithms
- Reinforcement learning: single vs. multi-agent
- How do social robots interact with humans?
- Robotics in NASA
- Natural language processing: chatbots
- How does natural language processing produce natural language?
- Natural language processing vs. machine learning
- Artificial intelligence in computer vision
- Computer vision application: autonomous cars
- Recommender systems’ approaches
- Recommender systems: content-based recommendation vs. collaborative filtering
- Internet of things & artificial intelligence: the interconnection
- How much data do the Internet of things devices generate?
Biotechnology uses living organisms to modify different products. Even the simple thing as baking bread is a process of biotechnology. However, nowadays, this area went as far as changing the organisms’ DNA. Genetics and biochemistry are also a part of the biotechnology area.
The development of this area allows people to cure diseases with the help of new medicines. In agriculture, more and more research is done on biological treatment and modifying plants. Biotechnology is even involved in the production of our groceries, household chemicals, and textiles.
There are many exciting trends in biotechnology now that carry the potential of changing our world! For example, scientists are working on creating personalized drugs. This is feasible once they apply computer science to analyze people’s DNA.
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Also, thanks to using new technologies, doctors can collect exact data and provide the patients with correct diagnosis and treatment. Now, you don’t even need to leave your place to get a doctor’s check-up. Just use telehealth!
Data management is developing in the biotechnology area as well. Thanks to that, doctors and scientists can store and access a tremendous amount of information.
The most exciting is the fact that new technology enables specialists to assess genetic information to treat and prevent illnesses! It may solve the problem of some diseases that were considered untreatable before.
Research Topics on Biotechnology
You can use the following examples of research questions on biotechnology for presentation or even a PhD paper! Here is a wide range of topics on biotechnology and its relation to agriculture, nanotechnology, and many more:
- Self-sufficient protein supply and biotechnology in farming
- Evaporation vs. evapotranspiration
- DNA cloning and a southern blot
- Pharmacogenetics & personalized drugs
- Is cloning “playing God”?
- Pharmacogenetics: cancer medicines
- How much can we control our genetics, at what point do we cease to be human?
- Bio ethics and stem cell research
- Genetic engineering: gene therapy
- The potential benefits of genetic engineering
- Genetic engineering: dangers and opportunities
- Mycobacterium tuberculosis: counting the proteins
- Plant genetic enhancement: developing resistance to scarcity
- Y-chromosome genotyping: the case of South Africa
- Agricultural biotechnology: GMO crops
- How are new vaccines developed?
- Nanotechnology in treating HIV
- Allergenic potential & biotechnology
- Whole-genome sequencing in biotechnology
- Genes in heavy metal tolerance: an overview
- Food biotechnology & food-borne illnesses
- How to eliminate heat-resistant microorganisms with ultraviolet?
- High-throughput screening & biotechnology
- How do new food processing technologies affect bacteria related to Aspalathus Linearis?
- Is sweet sorghum suitable for the production of bioethanol in Africa?
- How can pesticides help to diagnose cancer?
- How is embelin used to prevent cancer?
One of the first areas that technologies affected was communications and media. People from the last century couldn’t have imagined how easy it would be to get connected with anyone! Internet connection starts appearing even in the most remote places.
Nowadays, media is used not only for social interaction but for business development and educational purposes as well. You can now start an entirely online business or use special tools to promote the existing one. Also, many leading universities offer online degrees.
In communications and media, AI has been playing the role of enhancement recently. The technology helps create personalized content for always demanding consumers.
Developing media also create numerous job opportunities. For instance, recently, an influencer has become a trending career. Influencers always use the most relevant communication tools available. At the moment, live videos and podcasting are on the top.
Now, you just need to reach your smartphone to access all the opportunities mentioned above! You can apply for a college, find a job, or reach out to all your followers online. It is hard to imagine how far communication and media can go…
Communications and Media Technology Research Topics
There are quite a few simple yet exciting ideas for media and communications technology research topics. Hopefully, you will find THE ONE amongst these Information and Communications Technology (ICT) research proposal topics:
- New media: the importance of ethics in the process of communication
- The development of communication via computer over the last decade
- How have social media changed communication?
- Media during the disasters: increasing panic or helping reduce it?
- Authorities’ media representations in different countries: compare & contrast
- Do people start preferring newspapers to new media again?
- How has the Internet changed media?
- Communication networks
- The impact of social media on super bowl ads
- Communications: technology and personal contact
- New content marketing ideas
- Media exposure and its influence on adolescents
- The impact of mass media on personal socialization
- Internet and interactive media as an advertising tool
- Music marketing in a digital world
- How do people use hype in the media?
- Psychology of videoblog communication
- Media & the freedom of speech
- Is it possible to build trustful relationships in virtual communication?
- How to maintain privacy in social media?
- Communication technologies & cyberbullying
- How has the interpersonal communication changed with the invention of computers?
- The future of the communication technologies
- Yellow journalism in new media
- How enterprises use ICT to get a competitive advantage?
- Healthcare and ICT
- Can we live without mass media?
- Mass media and morality in the 21st century
💻 Computer Science & Engineering
If you have ever wondered how computers work, you better ask a professional in computer science and engineering. This major combines two different, yet interconnected, worlds of machines.
Computer science takes care of the computer’s brain. It usually includes areas of study, such as programming languages and algorithms. Scientists also recognize three paradigms in terms of the computer science field.
For the rationalist paradigm, computer science is a part of math. The technocratic paradigm is focused on software engineering, while the scientific one is all about natural sciences. Interestingly enough, the latter can also be found in the area of artificial intelligence!
On the other hand, computer engineering maintains a computer’s body – hardware and software. It relies quite heavily on electrical engineering. And only the combination of computer science and engineering gives a full understanding of the machine.
If talking about trends and innovations, artificial intelligence development is probably the main one in the area of computer science technology. Big data is the field that has been extremely popular in recent years.
Cybersecurity is and will be one of the leading research fields in our Information Age. The latest trend in computer science and engineering is also virtual reality.
Computer Science Research Topics
If you want to find a good idea for your thesis or you are just preparing for a speech, check out this list of research topics in computer science and engineering:
- How are virtual reality & human perception connected?
- 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
- Banking industry & blockchain technology
- How does the machine architecture affect the efficiency of code?
- Languages for parallel computing
- How is mesh generation used for computational domains?
- Ways of persistent data structure optimization
- Sensor networks vs. cyber-physical system
- The development of computer graphics: non-photorealistic rendering case
- The development of the systems programming languages
- Game theory & network economics
- How can computational thinking affect science?
- Theoretical computer science in functional analysis
- The most efficient cryptographic protocols
- Software security types: an overview
- Is it possible to eliminate phishing?
- Floating point & programming language
Without energy, no technological progress is possible. Scientists are continually working on improving energy and power technologies. Recently, efforts have been aimed at three main areas.
Developing new batteries and fuel types helps create less expensive ways of storing energy. For example, fuel cells can be used for passenger buses. They need to be connected to a source of fuel to work. However, it guarantees the constant production of electricity as long as they have fuel.
One of the potential trends of the next years is hydrogen energy storage. This method is still in the stage of development. It would allow the use of hydrogen instead of electricity.
A smart grid is another area that uses information technology for the most efficient use of energy. For instance, the first-generation smart grid tracks the movement of electric energy on the go and sends the information back. 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. It aims at technologies that can produce power from the sources that haven’t been used. The trends in this area include second-generation biofuels and photovoltaic glass.
Energy Technologies Research Topics
Since humanity cannot be using fossil fuels forever, the research in the area of energy can be extremely fruitful. The following list of energy and power technology research paper topics can give you an idea of where to dig:
- How can fuel cells be used for stationary power generation?
- Lithium-ion vs. lithium-air batteries: energy density
- Are lithium-air batteries better than gasoline?
- Renewable energy usage: advantages and disadvantages
- The nuclear power usage in the UAE
- India’s solar installations
- Gas price increasing and alternative energy sources
- How can methods of energy transformation be applied with hydrogen energy?
- Is hydrogen energy our future?
- Thermal storage & AC systems
- How to load balance using smart grid?
- Distributed energy generation to optimize power waste
- Is the smart energy network a solution to climate change?
- The future of the tidal power
- The possibility of 3D printing of micro stirling engines
- How can robots be used to adjust solar panels to weather?
- Advanced biofuels & algae
- Can photovoltaic glass be fully transparent?
- Third-generation biofuels: algae vs. crop-based
- Space-based solar power: myth or reality of the future?
- Can smaller nuclear reactors be more efficient?
- Inertial confinement fusion & creal energy
- Renewable energy technologies: an overview
- How can thorium change the nuclear power field?
The way we get our food has changed drastically with the technological development. Manufacturers look for ways to feed 7.5 billion people more efficiently. And the demand is growing every year. Now technology is not only used for packaging, but for producing and processing food as well.
Introducing robots into the process of manufacturing brings multiple benefits to the producer. Not only do they make it more cost-efficient, but they also reduce safety problems.
Surprisingly enough, you can print food on the 3D printer now! This technology is applied to produce soft food for people who can’t chew. NASA decided to use it for fun as well and printed a pizza!
Drones now help farmers to keep an eye on crops from above. It helps them see the full picture and analyze the current state of the fields. For example, a drone can spot a starting disease and save the crop.
The newest eco trends push companies to become more environmentally aware. They use technologies to create safer packaging. The issue of food waste is also getting more and more relevant. Consumers want to know that nothing is wasted. Thanks to the new technologies, the excess food is now used more wisely.
Food Technology Research Topics
If you are looking for qualitative research topics about technology in the food industry, here is a list of ideas you don’t want to miss:
- What machines are used in the food industry?
- How do robots improve safety in butchery?
- Food industry & 3D printing
- 3D printed food – a solution to help people with swallowing disorder?
- Drones & precision agriculture
- How is robotics used to create eco-friendly food packaging?
- Is micro packaging our future?
- The development of edible cling film
- Technology & food waste: what are the solutions?
- Additives and preservatives & human gut microbiome
- The effect of citric acid on the orange juice: physicochemical level
- Vegetable oils in mass production: compare & contrast
- Time-temperature indicators & food industry
- Conventional vs. hydroponic farming
- Food safety: a policy issue in agriculture today
- How to improve the detection of parasites in food?
- What are the newest technologies in the baking industry?
- Eliminating byproducts in edible oils production
- Cold plasma & biofilms
- How good are the antioxidant peptides derived from plants?
- Electronic nose in food industry and agriculture
- The harm of polyphenols in food
Why does the life expectancy of people get higher and higher every year? One of the main aspects of it is the promotion of innovation in the medical area. For example, the development of equipment helps medical professionals to save many lives.
Thanks to information technology, the work is much more structured now in the medical area. The hospitals use tablets and the method of electronic medical records. It helps them to access and share the data more efficiently.
If talking about medical devices, emerging technologies save more lives than ever! For instance, operations done by robots are getting more and more popular. Don’t worry! Doctors are still in charge; they just control the robots from the other room. It allows operations to be less invasive and precise.
Moreover, science not only helps treat diseases but also prevent them! The medical research aims for the development of vaccines against deadly illnesses like malaria.
Some of the projects even sound more like crazy ideas from the future. But it is all happening right now! Scientists are working on the creation of artificial organs and the best robotic prosthetics.
All the technologies mentioned above are critical for successful healthcare management.
Medical Technology Research Topics
If you feel like saving lives is the purpose of your life, then technological research topics in the medical area are for you! These topics would also suit for your research paper:
- How effective are robotic surgeries?
- Smart inhalers as the new solution for asthma treatment
- Genetic counseling – a new way of preventing diseases?
- The benefits of the electronic medical records
- Erythrocytapheresis to treat sickle cell disease
- Defibrillator & cardiac resynchronization therapy
- Why do drug-eluting stents fail?
- Dissolvable brain sensors: an overview
- 3D printing for medical purposes
- How soon will we be able to create artificial organs?
- Wearable technologies & healthcare
- Precision medicine based on genetics
- Virtual reality devices for educational purposes in medical schools
- The development of telemedicine
- Clustered regularly interspaced short palindromic repeats as the way of treating diseases
- Nanotechnology & cancer treatment
- How safe is genome editing?
- The trends in electronic diagnostic tools development
- The future of the brain-machine interface
- How does wireless communication help medical professionals in hospitals?
In the past years, technologies have been drastically changing the pharmaceutical industry. Now, a lot of processes are optimized with the help of information technology. The ways of prescribing and distributing medications are much more efficient today. Moreover, the production of medicines itself has changed.
For instance, electronic prior authorization is now applied by more than half of the pharmacies. It makes the process of acquiring prior authorization much faster and easier.
The high price of medicines is the number one reason why patients stop using prescriptions. Real-time pharmacy benefit may be the solution! It is a system that gives another perspective for the prescribers. While working with individual patients, they will be able to consider multiple factors with the help of data provided.
The pharmaceutical industry also adopts some new technologies to compete on the international level. They apply advanced data analytics to optimize their work.
Companies try to reduce the cost and boost the effectiveness of the medicines. That is why they look into technologies that help avoid failures in the final clinical trials.
The constant research in the area of pharma is paying off. New specialty drugs and therapies arrive to treat chronic diseases. However, there are still enough opportunities for development.
Pharmaceutical Technologies Research Topics
Following the latest trends in the pharmaceutical area, this list offers a wide range of creative research topics on pharmaceutical technologies:
- Electronic prior authorization as a pharmacy technological trend
- The effectiveness of medication therapy management
- Medication therapy management & health information exchanges
- Electronic prescribing of controlled substances as a solution for drug abuse issue
- Do prescription drug monitoring programs really work?
- How can pharmacists help with meaningful use?
- NCPDP script standard for specialty pharmacies
- Pharmaceutical technologies & specialty medications
- What is the patient’s interest in the real-time pharmacy?
- The development of the vaccines for AIDS
- Phenotypic screening in pharmaceutical researches
- How does cloud ERP help pharmaceutical companies with analytics?
- Data security & pharmaceutical technologies
- An overview of the DNA-encoded library technology
- Pharmaceutical technologies: antibiotics vs. superbugs
- Personalized medicine: body-on-a-chip approach
- The future of cannabidiol medication in pain management
- How is cloud technology beneficial for small pharmaceutical companies?
- A new perspective on treatment: medicines from plants
- Anticancer nanomedicine: a pharmaceutical hope
🚈 Transportation Technologies
We used to be focused on making transportation more convenient. However, nowadays, the focus is slowly switching to ecological issues.
It doesn’t mean that vehicles can’t be comfortable at the same time. That is why the development of electric and self-driving cars is on the peak.
Transportation technologies also address the issues of safety and traffic jams. There are quite many solutions suggested. However, it would be hard for big cities to switch to the other systems fast.
One of the solutions is using shared vehicle phone applications. It allows reducing the number of private cars on the roads. On the other hand, if more people start preferring private vehicles, it may cause even more traffic issues.
The most innovative cities even start looking for more eco-friendly solutions for public transport. Buses are being replaced by electric ones. At the same time, the latest trend is using private electric vehicles such as scooters and bikes.
So that people use public transport more, it should be more accessible and comfortable. That is why the payment systems are also being updated. Now, all you would need is to download an app and buy a ticket in one click!
Transportation Technologies Research Topics
Here you can find the best information technology research topics related to transportation technologies:
- How safe are self-driving cars?
- Electric vs. hybrid cars: compare & contrast
- How to save your smart car from being hijacked?
- How do next-generation GPS devices adjust the route for traffic?
- Transportation technologies: personal transportation pods
- High-speed rail networks in Japan
- Cell phones during driving: threats and solutions
- Transportation: electric cars effects
- Teleportation: physics of the impossible
- How soon we will see Elon Musk’s Hyperloop?
- Gyroscopes as a solution for convenient public transportation
- Electric trucks: the effect on logistics
- Why were electric scooters banned in some cities in 2018?
- Carbon fiber as an optional material for unit load devices
- What are the benefits of the advanced transportation management systems?
- How to make solar roadways more cost-effective?
- How is blockchain applied in the transportation industry
- Transportation technologies: an overview of the freight check-in
- How do delivery companies use artificial intelligence?
- Water-fueled cars: the technology of future or fantasy?
- What can monitoring systems be used to manage curb space?
- Inclusivity and accessibility in public transport: an overview
- The development of the mobility-as-a-service
All in all, this article is a compilation of the 204 most interesting research topics on technology and computer science. It is a perfect source of inspiration for anyone who is interested in doing research in this area.
We have divided the topics by specific areas, which makes it easier for you to find your favorite one. There are 20 topics in each category, along with a short explanation of the most recent trends in the area.
You can choose one topic from artificial intelligence research topics and start working on it right away! There is also a wide selection of questions on biotechnology and engineering that are waiting to be answered.
Since media and communications are present in our everyday life and develop very fast, you should look into this area. But if you want to make a real change, you can’t miss on researching medical and pharmaceutical, food and energy, and transportation areas.
Of course, you are welcome to customize the topic you choose! The more creativity, the better! Maybe your research has the power to change something! Good luck, and have fun!
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- Databases for Research & Education: Gale
- The Complete Beginners’ Guide to Artificial Intelligence: Forbes
- 8 Best Topics for Research and Thesis in Artificial Intelligence: GeeksForGeeks
- Technology Is Changing Transportation, and Cities Should Adapt: Harvard Business Review
- Five Technology Trends: Changing Pharmacy Practice Today and Tomorrow (Pharmacy Times)
- Recent papers in Technology: Academia
- Research: Michigan Tech
- What 126 studies say about education technology: MIT News
- Top 5 Topics in Information Technology: King University Online
- Research in Technology Education-Some Areas of Need: Virginia Tech
- Undergraduate Research Topics: Department of Computer Science, Princeton University
- Student topics: QUT Science and Engineering
- Developing research questions: Monash University
- Biotechnology: Definition, Examples, & Applications (Britannica)
- 12 Emerging Technologies that May Help Power the Future: Georgia Tech
- Medical Laboratory Science Student Research Projects: Rush University
- Clinical Laboratory Science: Choosing a Research Topic (Library Resource Guide for FGCU Clinical Lab Science students)
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Thank you very for the best topics of research across all science and art projects. The best thing that I am interested to is computer forensics and security specifically for IT students.
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Computer science focuses on creating programs and applications, while information technology focuses on using computer systems and networks. What computer science jobs are there. It includes software developers, web developers, software engineers, and data scientists.
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The Top 10 Most Interesting Computer Science Research Topics
Computer science touches nearly every area of our lives. With new advancements in technology, the computer science field is constantly evolving, giving rise to new computer science research topics. These topics attempt to answer various computer science research questions and how they affect the tech industry and the larger world.
Computer science research topics can be divided into several categories, such as artificial intelligence, big data and data science, human-computer interaction, security and privacy, and software engineering. If you are a student or researcher looking for computer research paper topics. In that case, this article provides some suggestions on examples of computer science research topics and questions.
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What Makes a Strong Computer Science Research Topic?
A strong computer science topic is clear, well-defined, and easy to understand. It should also reflect the research’s purpose, scope, or aim. In addition, a strong computer science research topic is devoid of abbreviations that are not generally known, though, it can include industry terms that are currently and generally accepted.
Tips for Choosing a Computer Science Research Topic
- Brainstorm . Brainstorming helps you develop a few different ideas and find the best topic for you. Some core questions you should ask are, What are some open questions in computer science? What do you want to learn more about? What are some current trends in computer science?
- Choose a sub-field . There are many subfields and career paths in computer science . Before choosing a research topic, ensure that you point out which aspect of computer science the research will focus on. That could be theoretical computer science, contemporary computing culture, or even distributed computing research topics.
- Aim to answer a question . When you’re choosing a research topic in computer science, you should always have a question in mind that you’d like to answer. That helps you narrow down your research aim to meet specified clear goals.
- Do a comprehensive literature review . When starting a research project, it is essential to have a clear idea of the topic you plan to study. That involves doing a comprehensive literature review to better understand what has been learned about your topic in the past.
- Keep the topic simple and clear. The topic should reflect the scope and aim of the research it addresses. It should also be concise and free of ambiguous words. Hence, some researchers recommended that the topic be limited to five to 15 substantive words. It can take the form of a question or a declarative statement.
What’s the Difference Between a Research Topic and a Research Question?
A research topic is the subject matter that a researcher chooses to investigate. You may also refer to it as the title of a research paper. It summarizes the scope of the research and captures the researcher’s approach to the research question. Hence, it may be broad or more specific. For example, a broad topic may read, Data Protection and Blockchain, while a more specific variant can read, Potential Strategies to Privacy Issues on the Blockchain.
On the other hand, a research question is the fundamental starting point for any research project. It typically reflects various real-world problems and, sometimes, theoretical computer science challenges. As such, it must be clear, concise, and answerable.
How to Create Strong Computer Science Research Questions
To create substantial computer science research questions, one must first understand the topic at hand. Furthermore, the research question should generate new knowledge and contribute to the advancement of the field. It could be something that has not been answered before or is only partially answered. It is also essential to consider the feasibility of answering the question.
Top 10 Computer Science Research Paper Topics
1. battery life and energy storage for 5g equipment.
The 5G network is an upcoming cellular network with much higher data rates and capacity than the current 4G network. According to research published in the European Scientific Institute Journal, one of the main concerns with the 5G network is the high energy consumption of the 5G-enabled devices . Hence, this research on this topic can highlight the challenges and proffer unique solutions to make more energy-efficient designs.
2. The Influence of Extraction Methods on Big Data Mining
Data mining has drawn the scientific community’s attention, especially with the explosive rise of big data. Many research results prove that the extraction methods used have a significant effect on the outcome of the data mining process. However, a topic like this analyzes algorithms. It suggests strategies and efficient algorithms that may help understand the challenge or lead the way to find a solution.
3. Integration of 5G with Analytics and Artificial Intelligence
According to the International Finance Corporation, 5G and AI technologies are defining emerging markets and our world. Through different technologies, this research aims to find novel ways to integrate these powerful tools to produce excellent results. Subjects like this often spark great discoveries that pioneer new levels of research and innovation. A breakthrough can influence advanced educational technology, virtual reality, metaverse, and medical imaging.
4. Leveraging Asynchronous FPGAs for Crypto Acceleration
To support the growing cryptocurrency industry, there is a need to create new ways to accelerate transaction processing. This project aims to use asynchronous Field-Programmable Gate Arrays (FPGAs) to accelerate cryptocurrency transaction processing. It explores how various distributed computing technologies can influence mining cryptocurrencies faster with FPGAs and generally enjoy faster transactions.
5. Cyber Security Future Technologies
Cyber security is a trending topic among businesses and individuals, especially as many work teams are going remote. Research like this can stretch the length and breadth of the cyber security and cloud security industries and project innovations depending on the researcher’s preferences. Another angle is to analyze existing or emerging solutions and present discoveries that can aid future research.
6. Exploring the Boundaries Between Art, Media, and Information Technology
The field of computers and media is a vast and complex one that intersects in many ways. They create images or animations using design technology like algorithmic mechanism design, design thinking, design theory, digital fabrication systems, and electronic design automation. This paper aims to define how both fields exist independently and symbiotically.
7. Evolution of Future Wireless Networks Using Cognitive Radio Networks
This research project aims to study how cognitive radio technology can drive evolution in future wireless networks. It will analyze the performance of cognitive radio-based wireless networks in different scenarios and measure its impact on spectral efficiency and network capacity. The research project will involve the development of a simulation model for studying the performance of cognitive radios in different scenarios.
8. The Role of Quantum Computing and Machine Learning in Advancing Medical Predictive Systems
In a paper titled Exploring Quantum Computing Use Cases for Healthcare , experts at IBM highlighted precision medicine and diagnostics to benefit from quantum computing. Using biomedical imaging, machine learning, computational biology, and data-intensive computing systems, researchers can create more accurate disease progression prediction, disease severity classification systems, and 3D Image reconstruction systems vital for treating chronic diseases.
9. Implementing Privacy and Security in Wireless Networks
Wireless networks are prone to attacks, and that has been a big concern for both individual users and organizations. According to the Cyber Security and Infrastructure Security Agency CISA, cyber security specialists are working to find reliable methods of securing wireless networks . This research aims to develop a secure and privacy-preserving communication framework for wireless communication and social networks.
10. Exploring the Challenges and Potentials of Biometric Systems Using Computational Techniques
Much discussion surrounds biometric systems and the potential for misuse and privacy concerns. When exploring how biometric systems can be effectively used, issues such as verification time and cost, hygiene, data bias, and cultural acceptance must be weighed. The paper may take a critical study into the various challenges using computational tools and predict possible solutions.
Other Examples of Computer Science Research Topics & Questions
Computer research topics.
- The confluence of theoretical computer science, deep learning, computational algorithms, and performance computing
- Exploring human-computer interactions and the importance of usability in operating systems
- Predicting the limits of networking and distributed systems
- Controlling data mining on public systems through third-party applications
- The impact of green computing on the environment and computational science
Computer Research Questions
- Why are there so many programming languages?
- Is there a better way to enhance human-computer interactions in computer-aided learning?
- How safe is cloud computing, and what are some ways to enhance security?
- Can computers effectively assist in the sequencing of human genes?
- How valuable is SCRUM methodology in Agile software development?
Choosing the Right Computer Science Research Topic
Computer science research is a vast field, and it can be challenging to choose the right topic. There are a few things to keep in mind when making this decision. Choose a topic that you are interested in. This will make it easier to stay motivated and produce high-quality research for your computer science degree .
Select a topic that is relevant to your field of study. This will help you to develop specialized knowledge in the area. Choose a topic that has potential for future research. This will ensure that your research is relevant and up-to-date. Typically, coding bootcamps provide a framework that streamlines students’ projects to a specific field, doing their search for a creative solution more effortless.
Computer Science Research Topics FAQ
To start a computer science research project, you should look at what other content is out there. Complete a literature review to know the available findings surrounding your idea. Design your research and ensure that you have the necessary skills and resources to complete the project.
The first step to conducting computer science research is to conceptualize the idea and review existing knowledge about that subject. You will design your research and collect data through surveys or experiments. Analyze your data and build a prototype or graphical model. You will also write a report and present it to a recognized body for review and publication.
You can find computer science research jobs on the job boards of many universities. Many universities have job boards on their websites that list open positions in research and academia. Also, many Slack and GitHub channels for computer scientists provide regular updates on available projects.
There are several hot topics and questions in AI that you can build your research on. Below are some AI research questions you may consider for your research paper.
- Will it be possible to build artificial emotional intelligence?
- Will robots replace humans in all difficult cumbersome jobs as part of the progress of civilization?
- Can artificial intelligence systems self-improve with knowledge from the Internet?
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List of Computer Science Education Project Topics and Materials
List of Computer Science Education Project Topics and Materials PDF Download for (NCE and PGD) College of Education Final Year Students.
Thesis and Dissertation Topics, Proposal Topics, Presentations, Journals, Seminar Topics, Research Papers, and Project Reports can also be gotten from this page.
All Project Materials for the Computer Science Education Department Listed on this Research Page have their Complete work Written from Chapters 1 to 5 which are: Title Page and the Case Study, Table Of Contents, Abstract, the Background of the Study, Statement of the Problem, Research Questions, Objectives of the Study, Research Hypothesis, Signification of the Study, the Scope of the Study, the Definition Of Terms, Organization of the Study, Literature Review (Theoretical Framework or Conceptual Framework), Research Methodology, Sources of Data Collection, the Population of the Study, Sampling and Sampling Distribution, Validation of Research Instrument, Method of Data Analysis, Data Analysis, Introduction, Summary, Conclusion, Recommendation, References/Bibliography/Citations and Questionnaire (Appendix).
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Latest Topics for Pursuing Research in Technology and Computer science 2018-2020
Here are some of the topics in computer technology and computer science that you can consider. Hot topics include 1) Data Warehousing, 2) Internet of Things (IoT), 3) Big data, 4) cloud computing, 5) semantic web, 6) MANET, 7) machine learning, 8) Artificial Intelligence, 9) data mining, 10) image processing, 11) bioinformatics, 12) quantum computing, and so on.
- Role of human-computer interaction.
- AI and robotics.
- Software engineering and programming.
- High-performance computing.
- Geo informational systems, databases, and data mining.
- Compiler optimization and embedded systems.
- Computer science, biotechnology, and medicine.
- Machine learning and neuron networks.
- Human perception and virtual reality—what’s the connection?
- How successful is computer-aided learning?
- Usability in human-computer interactions.
- Art and math modelling in computers and media.
- Decryption, and encryption of data.
- Hazards of computer viruses.
- Ethical hacking: white hat techniques.
- What next in search algorithms?
- Merits and demerits of cloud storage.
- Software development for portable gadgets.
- How is open source competing with paid software?
- Banking security and ATMs.
- Synthesis and program verification.
- Role of the blockchain.
- Robotic manipulation modelling.
- Research in wireless sensor networks.
- Queuing models: simulation and comparison.
- Leveraging asynchronous FPGAs for crypto acceleration.
- Epitomic analyses for facial detection.
- Role of computers in digital forensics.
- Cognitive radio networks.
- Network Security and Cryptography.
- How are antivirus software written?
- Securing data during transmission and storage.
- Password systems that are mind controlled.
- Networking and security.
- Research on how AI and deep learning are changing the healthcare industry.
- Future of 5G wireless systems.
- New wave in biometric systems.
- Programming languages that are on the verge of death.
- Is scrum methodology the best of best?
- Assurance in computer security and information.
- Cyber-physical systems.
- Hardware and architecture.
- Databases and information retrieval systems.
- Distributed systems and networks.
- Programming languages and software systems.
- High performance computing and computational science.
- Theory and algorithms.
- Chemistry’s informatics research.
- Humanoid robot and imitation.
- E-Heath data privacy concerns.
- Distributed Data Clustering.
- Web-based health monitoring and textual mining.
- Medical applications and bioinformatics.
- Media security: basic techniques.
- Exigency computer systems for meteorology and disaster prevention.
- Mobile systems.
- Computer vision, graphics and animation.
- Human-computer problem-solving.
- Scaling up program verification and synthesis.
- Mobile systems, computing for global development
- Structured deep visual models for robot manipulation.
- Enhancing systems using ML.
- Scalable and automated ML systems.
- Natural language processing.
- Database Queries and their automated reasoning.
- Excavating and analyzing information from text.
- Ubiquitous Computing.
- Peer-to-peer confidentiality in social applications.
- Algorithmic mechanism design, algorithmic game theory, approximation algorithms.
- Enhancement of Mobile App Accessibility.
- Verified Distributed Systems.
- Graphical interactive is debugging for distributed systems.
- Moving from Passwords to Authenticators.
- Computational biology and machine learning.
- A study on robotic interaction with liquids.
- Enhancing the usability of chatbots.
- Knowing the trials in Development Data Pipeline.
- Interactive systems for scalable visual analysis.
- How child programmers cope with dyslexia.
- Computer techniques in photography.
- 3-D object modelling.
- Mobile Systems and Wireless networks.
- Computer architecture and deep learning systems.
- Security, privacy of augmented reality.
- Search and annotation in the virtual arena. Googling 3-D space.
- Automating data analyses using Artifical Intelligence.
- Facial and emotional identification.
- Transporting MMwave links through the internet.
- Verification and accessibility of webpage layouts.
- Image retrieval systems—content based.
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Architectures, Compiler Optimization, and Embedded Systems
Faculty: Pen-Chung Yew , Antonia Zhai
Bioinformatics and Computational Biology
Faculty: Daniel Boley , Ravi Janardan , George Karypis , Dan Knights , Rui Kuang , Vipin Kumar , Chad L. Myers , Catherine Qi Zhao
Data Mining, Databases, and Geographical Information Systems
Faculty: Daniel Boley , Yao-Yi Chiang , George Karypis , Vipin Kumar , Mohamed F. Mokbel , Shashi Shekhar , Jaideep Srivastava , Catherine Qi Zhao
Graphics and Immersive Computing
Faculty: Stephen Guy , Victoria Interrante , Daniel F. Keefe , Evan Suma Rosenberg
High Performance Computing
Faculty: Daniel Boley , George Karypis , Vipin Kumar , Yousef Saad , Ju Sun , Jon Weissman
Human Computer Interaction (HCI)
Faculty: Stevie Chancellor , Joseph Konstan , Loren Terveen , Svetlana Yarosh
Networks, Distributed Systems, and Security
Faculty: Abhishek Chandra , David Hung-Chang Du , Nick Hopper , Volkan Isler , Kangjie Lu , Feng Qian , Jaideep Srivastava , Anand Tripathi , Jon Weissman , Zhi-Li Zhang
Robotics and Artificial Intelligence
Faculty: Maria Gini , Stephen Guy , Volkan Isler , Dongyeop Kang , Hyun Soo Park , Nikolaos Papanikolopoulos , Junaed Sattar , Paul Schrater , Ju Sun , Catherine Qi Zhao
Software Engineering and Programming Languages
Faculty: Kuen-Bang Hou Favonia , Mats Heimdahl , Mattia Fazzini , Stephen McCamant , Gopalan Nadathur , Eric Van Wyk
Theoretical Foundations
Faculty: Daniel Boley , Kuen-Bang Hou Favonia , Nick Hopper , Ravi Janardan , George Karypis , Vipin Kumar , Gopalan Nadathur , Yousef Saad , Ju Sun , Eric Van Wyk
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Top ten computer science education research papers recognized · "Identifying student misconceptions of programming" (2010) · "Improving the CS1
Latest Research Topics in Computer Science · Big data and machine learning · Cloud computing · Internet of Things · Blockchain technology
Research areas represent the major research activities in the Department of Computer Science. Faculty and students have developed new ideas to achieve
Cybersecurity is and will be one of the leading research fields in our Information Age. The latest trend in computer science and engineering is
Computer science research topics can be divided into several categories, such as artificial intelligence, big data and data science, human-
COMPUTER SCIENCE EDUCATION PROJECT TOPICS AND MATERIALS · ANALYSIS OF DATA MINING TECHNIQUES OF TELECOMMUNICATION COMPANIES IN NIGERIA: A CASE STUDY OF MTN
List of Computer Science Education Project Topics and Materials · The Influence of Ict on Workflow and Communication Among Clinical Workforce in Selected
Role of human-computer interaction. · AI and robotics. · Software engineering and programming. · High-performance computing. · Geo informational systems, databases
Research areas · Architectures, Compiler Optimization, and Embedded Systems · Bioinformatics and Computational Biology · Data Mining, Databases, and Geographical
COMPUTER SCIENCE EDUCATION PROJECT TOPICS AND MATERIALS · 1. LEVEL OF COMPETENCIES POSSESSED BY JUNIOR SECONDARY SCHOOL TEACHERS IN THE TEACHING AND LEARNING OF