Jerry Gao

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Verified

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• Ph.D.
• Professor (Full) and Director of Reseach Center on Smart Technology and Complex Systems at San Jose State University

Abstract: Based on the renewable energy assessment in 2023, it was found that only 21% of total electricity is generated using renewable sources. As the global demand for electricity rises in the AI world, the need for electricity management will increase and must be optimized. Based on research, many companies are working on green AI electricity m...

As autonomous vehicle technologies continue to advance, there is a critical need for safety testing methods to analyze collisions in different scenarios accurately. However, existing methods are insufficient in collision reasoning because of the diversity of real-world scenarios. This paper utilizes publicly available datasets to analyze essential...

Real-time traffic data can be analyzed by AI algorithms , and traffic signals can be adjusted accordingly, reducing travel time and fuel consumption. Despite the existing solution, the traffic jams are hard to detect and pinpoint, and determining their causes remains challenging. This research provides a unique solution by forecasting the jams usin...

Highlights What are the main findings? A smart green energy management system integrating machine-learning model and reinforcement learning is proposed in this work to optimize energy consumption and solar generation for a campus environment. The integrated model demonstrated superior prediction performance with an RMSE of 14.72 for energy consumpt...

Inspired by principles of the decision tree test method in software engineering, this paper provides a discussion on intelligent AI test modeling chat systems, including basic concepts, quality validation, test generation and augmentation, testing scopes, approaches, and needs. The novelty of the paper lies in an intelligent AI test modeling chatbo...

According to the U.S. Energy Information Administration , 60 percent of the world's electricity is generated from fossil fuels, 18 percent from nuclear power, and only 21 percent from green energy resources. These statistics highlight the pressing need to transition to renewable energy for a sustainable future. However, a major challenge that arise...

This is an invited keynote speech for Internation AI Exchange Conference in Shanghai, China, Nov. 2024

AI-based systems possess distinctive characteristics and introduce challenges in quality evaluation at the same time. Consequently, ensuring and validating AI software quality is of critical importance. In this paper, we present an effective AI software functional testing model to address this challenge. Specifically, we first present a comprehensi...

The United States is the second-largest waste generator in the world, generating 4.9 pounds (2.2 kg) of Municipal Solid Waste (MSW) per person each day. The excessive amount of waste generated poses serious health and environmental risks, especially because of the prevalence of illegal dumping practices, including improper waste disposal in unautho...

This is one IEEE CISOSE2024 Tutorial on Testing Intelligent Computer Vision Systems

This is an invited keynote speech on building UAV-based surveillance cloud and its machine learning models and solutions.

AI-based systems possess distinctive characteristics and introduce challenges in quality evaluation at the same time. Consequently, ensuring and validating AI software quality is of critical importance. In this paper, we present an effective AI software functional testing model to address this challenge. Specifically, we first present a comprehensi...

As per the statistics provided by the U.S. Department of Energy, the transmission system of the United States comprises roughly 160,000 miles of high-voltage transmission lines. Regular maintenance and monitoring of power line damages are essential. The power transmission lines and tower market size value are set to grow at a 4% CAGR between 2021 a...

Post-COVID the restaurant industry is experiencing a surge in demand, presenting a unique challenge of efficiently managing increased customer flow while ensuring seamless interactions. Chatbots have emerged as an innovative solution to meet the demand increase. The paper addresses the enhancement of AI chatbots through the integration of Retrieval...

The functionalities of AI-powered mobile apps or systems heavily depend on the given training dataset. The challenge, in this case, is that a learning system will change its behavior due to a slight change in the dataset. Current alternative approaches for evaluating these apps either focus on individual performance measurements such as accuracy, e...

Drone surveillance systems have emerged as an integral part of modern technology and security. While camera and robot-based surveillance platforms are already present in the market, the use of drones for surveillance purposes is rapidly gaining traction. According to a study published by FactMR in 2023, the worldwide surveillance drone market is pr...

Today computer vision models and techniques have been used to develop many modern intelligent computer vision systems. Testing engineers and quality assurance teams have encountered many challenges in testing and automation of computer vision systems and applications because there is a lack of well-defined computer vision quality assurance standard...

As mobile applications become increasingly prevalent in daily life, the demand for their functionality and reliability continues to grow. Traditional mobile application testing methods, particularly graphical user interface (GUI) testing, face challenges of limited automation and adaptability.Despite the application of various machine learning appr...

Increasing numbers of public and private locations now have surveillance cameras installed to make those areas more secure. Even though many organizations still hire someone to monitor the cameras, the person hired is more likely to miss some unexpected events in the video feeds because of human error. Several researchers have worked on surveillanc...

With the development of artificial intelligence, the intelligence of agriculture has become a trend. Intelligent monitoring of agricultural activities is an important part of it. However, due to difficulties in achieving a balance between quality and cost, the goal of improving the economic benefits of agricultural activities has not reached the ex...

With the popularity of mobile devices, the software market of mobile applications has been booming in recent years. Android applications occupy a vast market share. However, the applications inevitably contain defects. Defects may affect the user experience and even cause severe economic losses. This paper proposes ATAC and ATPPO, which apply reinf...

Invited Talk from The Annual Workshop of Shanghai Supply-Chain Association.

This is a keynote talk about Smart City Traffic Drone and AI Cloud Platform. Dr. Gao has been invited by UASACT 2023, and it has been delivered in Taiwan on 11/5. The talk focuses on smart city traffic drone intelligence, big data, machine learning models, and AI cloud infrastructure as well as intelligence services.

Food shortage issues affect more and more of the population globally as a consequence of the climate crisis, wars, and the COVID-19 pandemic. Increasing crop output has become one of the urgent priorities for many countries. To raise the productivity of the crop product, it is necessary to monitor and evaluate farmland soil quality by analyzing the...

There is a growing demand for Green AI (Artificial Intelligence) technologies in the market and society, as it emerges as a promising technology. Green AI technologies are used to create sustainable solutions and reduce the environmental impact of AI. This paper focuses on describing the services of Green AI and the challenges associated with it at...

In this talk, Dr. Gao will present an overview of the current state-of-the-art of UAV technologies, intelligences and services. He will introduce UAV cloud concepts, motivations, features, infrastructure, and functional components, and services. In addition, a comprehensive tutorial will be given to discuss UAV intelligence in smart city applicatio...

This is one IEEE Tutorial Presentation on Testing and Automation for Intelligent Chatbot Systems https://ieee-cisose-congress.org/tutorials/

Due to current economic and environmental circumstances, there is a strong demand for new technologies and solutions to produce renewable energy, including green energy AI, renewable energy infrastructure, green energy trading and management. Rapid advancement of green energy technology and AI techniques provides many researchers with tremendous op...

Abstract—Wildfire has been a serious disaster in the United States for a long time with increasing devastation power, and occurrence risk. Compared to wildfire detection in which nu- merous kinds of research have been conducted, there is limited research on real-time wildfire progression. To bridge this gap, this paper proposes to develop a dynam...

Abstract—According to a PRNewswire research report, the drone cloud surveillance intelligence market will witness a YOY growth of 12.05% in 2023, with a CAGR of 13.58% during the forecast period. This burgeoning demand has spurred an increased interest in the research and development of cloud platforms for drone integration services. In this paper,...

To reduce the current crisis on energy and environmental problems, the adoption of electric vehicles is an effective way. But limited access and availability of charging infrastructure are restricting the EV market development. This paper presents data-driven analysis of current EV charging infrastructure to plan future EV infrastructure in the cit...

Nowadays, autonomous vehicles (AVs) offer advantages in many different industries. The main challenge for AV testing includes modeling diverse scenarios that an AV can encounter in the real world. Testing and conducting quality assurance on these complex systems is crucial in ensuring safety and reliability. Traditional test modeling approaches suc...

The expansion of agricultural practices and the raising of animals are key contributors to air pollution. Cattle farms contain hazardous gases, so we developed a cattle farm air pollution analyzer to count the number of cattle and provide comprehensive statistics on different air pollutant concentrations based on severity over various time periods....

The expansion of agricultural practices and the raising of animals are key contributors to 10 air pollution. Cattle farms contain hazardous gases, so we developed a cattle farm air pollution 11 analyzer to count the number of cattle and provide comprehensive statistics on different air 12 pollutant concentrations based on severity over various time...

Farming is an important industry in the world. With the development of artificial intelligence, the intelligence of agriculture has become a trend. Intelligent monitoring of agricultural activities is an important part of it. However, due to difficulties in achieving a balance between quality and cost, the goal of improving the economic benefits of...

This is my presentation for SJSU Green Talk on 3/8/2023. It discusses smart surveillance and security cloud and AI for different applications.

5th International Conference on Emerging Smart Computing & Informatics 2023 (Hybrid Mode) (1, 2 & 3 March 2023)

The mobile application market is booming, and Android applications occupy a vast market share. However, the applications may contain many errors. The task in the testing phase is to find these errors as soon as possible. It is urgent to test the application rapidly and effectively. Otherwise, it may affect user experience and cause substantial econ...

With the popularity of mobile devices, the software market of mobile applications has been booming in recent years. Android applications occupy a vast market share. However, the applications inevitably con- tain defects. Defects may affect the user experience and even cause severe economic losses. This paper proposes ATAC and ATPPO, which apply rei...

Wildfires are extremely harmful to the environment. While producing gaseous pollutants and particles that cause smoke, wildfires also release carbon dioxide (CO2), a greenhouse gas that will continue to warm the planet after the wildfire ends. This article delves into the impact of wildfires and air quality on human living conditions. The authors'...

Wildfires in recent years have destroyed communities, caused server damage to property and human life, and living environment. There were 3,356 fires during the last decade (2009 – 2018), which is 1.4 times greater than the per-decade average number of fires between 1979 and 2009. Total acres burned in the last decade reached 7.08 million acres, wh...

Purpose The study aims to propose an intelligent real-time traffic model to address the traffic congestion problem. The proposed model assists the urban population in their everyday lives by assessing the probability of road accidents and accurate traffic information prediction. It also helps in reducing overall carbon dioxide emissions in the envi...

According to Business Wire, the global market for Autonomous Vehicles estimated at 6.1 thousand Units fpsin the year 2020, is projected to reach a revised size of 110.1 thousand Units by 2026, growing at a CAGR of 60.6% over the analysis period. This strong demand brings more research interests in autonomous vehicle systems. One of the hot topics i...

Green Energy Panel Presentation - IEEE Future Technology Summit 2022

Autonomous driving has received much attention in academia and industries in recent years. Researchers incorporate different perceptions to detect vehicles, objects, routes, and lighting. However, few publications focus on road signs on pavement surface. This paper aims at creating a dataset with 10,000 images of U.S. road markings from similar dat...

Development of autonomous vehicles is seen as a solution to many of today's societal and everyday issues such as traffic congestion, road accidents, and air pollution. Unmanned autonomous vehicles are complex systems and testing such systems raises many challenges. This paper, written in a position paper to review main aspects of testing of unmanne...

There are many models presented that assess water quality. However, the applications of the models are limited due to the difficulty of preparing input data and interpreting model output. In this paper, we developed a Web-based platform to assist researchers in analyzing water quality. The data from sensors can be automatically imported to the plat...

This is an invited talk for an industry business event in LAX. It introduces a new cloud concept on Mobile Energy Cloud for future green engineering and sustainable smart cities.

This presentation covers the following topics: a) the state-of-the-art AI Testing and Automation, including basic concepts, challenges and issues, as well as needs. b) AI Testing Modeling and Analysis c) Testing and automation for intelligent chat mobile apps d) AI Test Experience e) Test Automation

Title: Real-Time Intelligent Wildfire Platform – Wildfire Big Data and Machine Learning Abstract: Wildfires in recent years have destroyed communities, caused server damage to property and human life, and living environment. There were 3,356 fires during the last decade (2009 – 2018), which is 1.4 times greater than the per-decade average number o...

According to the PRNewswire research report, Cloud Robotics Market will witness a YOY growth of 21.19% in 2022 at a CAGR of 22.26% during the forecast period. This strong demand has brought more research interest in cloud platforms for robotics integration services. Most of the available research results and commercial application technology soluti...

Due to the shortage of electricity, there is a strong demand on new technology and solutions in production of renewable green energy, including green energy AI, renewable energy infrastructure, green energy trading and management. Rapid advance of green energy technology and AI techniques provide many researchers with many opportunities and new ide...

The global population is expected to reach 9.7 billion in 2050, according to the UN News. This suggests that food, agriculture, and global commodity trading are essential and critical to human beings. To stabilize food price and better understand and predict the market trend, people need a real-time efficient online platform as an intelligent tradi...

With the fast advance of artificial intelligence technology and data-driven machine learning techniques, more and more AI approaches are applied in software engineering activities, such as coding, testing and etc.. Conventionally, test engineers use manual testing tools to test mobile apps and deliver products. Object detection technology like YOLO...

With the development of machine learning and big data technology, dialogue systems have been applied in many fields, including aerospace, banking and other scenarios that require high accuracy of answers. This has prompted a great deal of research on quality verification and assurance of dialogue systems. Testing and evaluation, as two means to ens...

A natural experiment conducted on the shrinking Salton Sea, a saline lake in California, showed that each one foot drop in lake elevation resulted in a 2.6% average increase in PM2.5 concentrations. The shrinking has caused the asthma rate continues to increase among children, with one in five children being sent to the emergency department, which...

A natural experiment [1] conducted on shrinking Salton Sea, a saline lake in California, showed that each one-foot drop in lake elevation resulted in 2.6% average increase in 〖PM〗_2.5 concentrations. According to the paper [2], the shrinking has caused the asthma rate to keep going up among the kids, one in five children being sent to emergency dep...

Chaotic maps have been widely used in image encryption due to their complexity, pseudorandomness and high sensitivity to initial values. In this paper, an image encryption algorithm based on a 4D chaotic map and steganography is proposed. The algorithm consists of two rounds of encryption and one operation of embedding hash. In the first round of e...

According to the World Health Organization (WHO), wearing a face mask is one of the most effective protections from airborne infectious diseases such as COVID-19. Since the spread of COVID-19, infected countries have been enforcing strict mask regulation for indoor businesses and public spaces. While wearing a mask is a requirement, the position an...

Wildfires are the most deadly and dangerous accidents across the United States, especially in California. Many lives are lost, and billions of dollars worth of property damages occur in wildfire every year. Wildfires are fueled and accelerated by several different factors, such as weather, climate, vegetation types, land cover, and human activities...

Water accounts for about 70% of the earth’s surface and is one of the most important sources of life. The degradation of the Salton Sea’s water quality due to excessive usage of fertilisers and pesticides in agriculture has posed serious risks to biodiversity, human health, and the local economy. As a result, it is necessary to establish effective...

This is an invited Keynote Presentation from 2021 IEEE Future Technology Summit. It discussed our smart wildfire prediction machine learning platform with detailed data engineering process, machine learning models and demo videos for wildfire detection, risk prediction, and progress prediction. The videos shows an on-going system development suppor...

Functionalities of AI-powered mobile Apps or systems heavily depend on the given training dataset. The challenge in this case is that a learning system will change its behavior due to a slight change of dataset. While current alternative approaches for evaluating these apps either focus on individual performance measurement such as accuracy etc. In...

With the advancement of machine learning algorithms, different models are being used in agriculture monitoring and food industries. Due to the significant growth in sensor technologies, a great deal of data has been made available in the public domain. The potential of machine learning models in satellite remote sensing data has earned a significan...

According to the World Health Organization (WHO), wearing a face mask is one of the most effective protections from airborne infectious diseases such as COVID-19. Since the spread of COVID-19, infected countries have been enforcing strict mask regulation for indoor businesses and public spaces. While wearing a mask is a requirement, the position an...

In this paper, a reversible data hiding scheme based on multiple residual histogram shifting is proposed. As is known to all, there is a prediction technology which can improve the hiding ability under the premise of ensuring good stego-image quality. It studies the similarity between image pixels and uses the residual histogram of the original cov...

Wildfires are the most deadly and dangerous accidents across the United States, especially in California. Many lives are lost, and billions of dollars worth of property damages occur in wildfire every year. Wildfires are fueled and accelerated by several different factors, such as weather, climate, vegetation types, land cover, and human activities...

With the advancement of machine learning algorithms, different models are being used in agriculture monitoring and food industries. Due to the significant growth in sensor technologies, a great deal of data has been made available in the public domain. The potential of machine learning models in satellite remote sensing data has earned a significan...

According to the World Health Organization (WHO), wearing a face mask is one of the most effective protections from airborne infectious diseases such as COVID-19. Since the spread of COVID-19, infected countries have been enforcing strict mask regulation for indoor businesses and public spaces. While wearing a mask is a requirement, the position an...