Members Of AI4Business Lab
Professor Huangfu received her Ph.D. from the University of Arizona. Her areas of research expertise include business analytics, public health, machine learning, and data mining. Her research has been published in a list of conference proceedings and journals, including IEEE Transactions on Cybernetics, Journal of Medical Internet Research, IEEE Signal Processing Letters, Pacific Asia Journal of the Association for Information Systems (PAJAIS), Pattern Recognition Letters, etc., with more than 100 citations.
She serves as a reviewer for IEEE Intelligent Systems, Information & Management, Information Systems Frontiers, Annual Meeting of the Association for Computational Linguistics (ACL), Empirical Methods in Natural Language Processing (EMNLP), etc.
She is a GREW Fellow and received several grants from National Institution of Health (NIH), National Security Agency (NSA), Department of Energy (DOE), etc.
Professor Huang received his BEng and PhD degrees both from Chongqing University, Chongqing, P.R.China, in 2010 and 2015 respectively. He was also a visiting PhD student at the department of computer science, Rutgers University, New Brunswick, NJ, USA, from 2012 to 2014. He is currently an associate professor at the school of Big Data and Software Engineering, Chongqing University, and also affiliated with the Ministry of Education Key Laboratory of Dependable Service Computing in Cyber Physical Society. He has authored/coauthored more than 40 scientific papers in venues, such as CVPR, AAAI, TIP, TIFS, TMI and TCSVT. His research interests include computer vision, machine learning, image processing and artificial intelligent applications.
Ashmita has a Bachelors of Science in Computer Science from San Diego State University. She is now pursuing a Masters of Science in Computer Science. Her primary interests are machine learning, AI and computer vision. She has worked on several projects, including a research project for predicting the average temperature across the United States using machine learning and a synthetic data generator using Unity 3D, for the purpose of training a machine learning model that would sort objects based on their material. Additionally, she has also worked on projects such as a fullstack phonebook app, a 2D game built using Unity 3D and a few other front end projects.
Plans to graduate May 2024
Aradhya has completed his undergraduate degree in computer science and is currently a graduate student at San Diego State University. He has been working on various projects and one of his research projects on opinion analysis of electric vehicles was published in IRAJ International Research and Journals. Apart from that, he has also done two internships during his undergraduate, one at Codenscious.ai where he was a machine learning intern, and the second at Kirloskar Brothers Limited. He wants to work in the field of research and development, which could help society to improve.
Plans to Graduate May 2023
Darshan is pursuing a bachelor's degree in Management Information Systems and a minor in Computer Science. His interests are data analytics, cloud computing and corporate social responsibility. Recently, he co-authored a research paper with a team of people titled Data Swagger: A Systemic Approach to Train, Motivate and Engage Data Savvy Employees detailing a theoretical framework of how businesses can train their employees to become more data literate. This paper was published in the Hawaii International Conference on System Sciences (HICSS) in 2022.
Plans to Graduate May 2024
Devon began attending SDSU in 2020 and graduated in 2022 with a bachelors in ComputerScience with honors as summa cum laude. His interests have evolved over his time pursuing his degree but he is passionate about machine learning, computer vision, deep learning, and autonomous vehicles. He worked on several projects with Dr. Huangfu since 2021 and is co-author of a paper titled Kernel Inversed Pyramidal Resizing Network for Efficient Pavement Distress Recognition. His other work with Dr. Huangfu included a sentiment analysis infused stock prediction model utilizing BERT and Transformer models as its architecture. After graduation, Devon has gained employment as a Machine Learning Engineer working with autonomous vehicles.
Dylan is a master student at San Diego State University. He aims to use machine learning to help solve some of the world challenging problems. He graduated from Michigan State University. He enjoys applying data science skills to the medical and financial fields. He is currently working on a research project regarding how the war in Ukraine is impacting the predictably of the energy sector of the US stock market and how to identify companies with sustainable business strategies who are likely to be successful in the long term.
Plans to graduate May 2023
Fadi is an undergraduate student at SDSU, majoring in computer science and minoring in mathematics. His interests are machine learning, data analysis, and web development. Fadi is looking forward to working as a software engineer upon graduating from college.
Plans to Graduate May 2024
Faiz is currently pursuing his master’s degree at San Diego State University. He is an enterprising, enthusiastic, and results-driven business analyst, who enjoys fast-paced and dynamic working environments. His 4+ years of combined experience in change management, leadership, and software development roles has prepared him to continually take on new and more complex challenges with additional responsibilities and interesting problems to solve.
Plans to graduate May 2023
Fengtao is currently a PhD student at the Department of Computer Science and Engineering (CSE), Hong Kong University of Science and Technology (HKUST). He received the bachelor’s degree and master’s degree from Chongqing University (CQU) in 2019 and 2022. His research interests include medical image analysis, artificial intelligence, machine learning, and computer vision. He has co-authored a top-tier IJCAI paper named “Boosting multi-Label Image Classification with Complementary Parallel Self-Distillation” with Dr. Huangfu.
Guixin is currently working at Global Function and Technology department of Citigroup as a backend developer. He obtained his master’s degree in software engineering from Chongqing University in 2021. His research fields mainly focus on image recognition and processing.
This August, Himali Shewale began the Master of Information Systems program at San Diego State University's Fowler College of Business. She has an Electronics and Telecommunications Engineering bachelor's degree, as well as a Post Graduate Diploma in Advanced Computing. She has worked in software quality assurance for more than 4.5 years, and has also created automation scripts in Java and Selenium. Additionally, proficient with MS Excel and Confluence for project management. Predictive models, sentiment analysis, and data mining are three topics that she is interested in.
Plans to graduate 2024
Himani has completed her undergraduate degree in Computer Engineering from Pune University, India. She has work experience of around 3 years as a Software Engineer at Accenture. She has worked in salesforce technology and has experience in the development and quality assurance of cloud applications using the Salesforce CRM platform. She has a certified Salesforce Developer and Salesforce Certified Administrator; this professional experience has not only helped her grow technically but also given her deep insights into sales processes in a business.
Plans to graduate 2024
Huanhuan has completed her graduate degree in software engineering at Chongqing University. She has been working on various projects and one of her research projects on vehicle matching, which belongs to the field of computer vision. She aims to use machine learning to help solve some of the challenging problems, and wants to work in the field of research and development.
Jiazhi is a master student and has a bachelor’s degree in Chongqing University, Chongqing, P.R.China. His main interests are image classification, object detection and their application. He pays attention to the usability of deep learning algorithms, and searches for the suitable optimization for current approaches. He is currently working as an intern in a computer vision company and learning the industrial deployment of deep learning methods. He believes the excellent algorithm with the convenient deployment has maximum value.
Kayla has a San Diego State University bachelor’s degree in Management Information Systems and a minor in Computer Science. Her interests are UI/UX, web development, and data analytics. She has been working with Professor Huangfu for two semesters, during which she has utilized Repl.it and Google Colab for Python. In addition, she and Professor Huangfu worked on a project regarding COVID-19 vaccines.
Karina is pursuing a bachelor’s degree at San Diego State University in Management Information Systems with minors in Interdisciplinary Studies and Women’s Studies. Her interests are data analytics, cyber security, and database development. She has experience working with Python and SQL through various MIS courses, and she also worked on a semester-long project building the back end and front end framework for a business concept, culminating in a formal presentation to leaders in the MIS industry. Additionally, this summer, she worked for Segment and gained knowledge about how companies utilize customer data. She is grateful for this opportunity to learn from the many exceptional researchers in the Business Lab.
Plans to Graduate May 2023
Lei is a master student at the school of Big Data and Software Engineering, Chongqing University, Chongqing, P.R.China. He received his BEng degree from Chongqing University. His interests are computer vision and deep learning models. He enjoys applying machine learning and deep learning to the multi-label classification and out-of-distribution detection tasks. He is currently working on a research project that how to detect the out-of-distribution inputs when the classification models are trained on multi-label datasets.
Lili is an exchange student at San Diego State University from the University of Pecs, Hungary where she is pursuing her bachelor’s degree in Computer Science and Engineering. Her interests are data analytics, machine learning, and deep learning models. She worked on a project regarding the interpretability of neural networks and researched ways to improve them. Her most recent research project involves distributed object detection of mobile autonomous devices that execute on commodity hardware.
Plans to graduate December 2024
Likitha has completed her Bachelor of Technology in Electronics and Communication Engineering from Dhanekula Institute of Engineering and Technology affiliated to Jawaharlal Nehru Technological University. She stood as the top performer throughout the course and secured a Gold Medal with an 8.82 CGPA on a 10 scale. Her inclination towards data analysis began with the fundamentals she learned through C programming, data structures, random variables and stochastic process, and computer networks courses in my bachelor’s degree. She is interested in applying computational and analytical models to address sophisticated real-time problems spread across multiple disciplines. She has worked on various projects and mini-projects related to Health care and Transportation technology. During my internship on “Study of PLC Application in CNC Machines” at Bharat Heavy Electricals Limited (BHEL), one of India's largest engineering and manufacturing companies. She realized how linking production PLCs with PC-based data acquisition and analysis helps manufacturing industries to achieve consistency and quality. It was out of her interest to transfigure her ideas and vision into a reality that simulated her to undertake a capstone project “FPGA Implementation of Image Defogging Architecture” which is in the domain of image processing and data analysis. Incorporating vital morphological operations on the data-set of foggy images followed by a well-researched image processing workflow algorithm and advanced computer vision techniques are appreciated by the final presentation panel. The diverse set of programming and hardware description languages along with numeric computing environments like Python, C programming, VHDL, Verilog, and MATLAB were utilized during the development process.
Plans to graduate May 2024
Lokesh is a master student at San Diego State university and believes in the analogy of dream big and learn from failures. He has a strong engineering background followed by 2.5 years of experience at Accenture, Pune, India as software engineer. He has worked with java technology, and worked on cloud applications, end to end application migration, network and connection, user centric incident solving. He has also worked with RDBMS for fetching out business required data and performing data analysis using SQL. Moreover, Keen in learning cloud architecture and he is AWS solution architect certified. His interest lies in machine learning, data mining, deep learning models and data centric problem solving technologies.
Plans to graduate December 2024
Luis is a master student at San Diego State University. His areas of interest are Machine Learning, Data Science, Deep Learning and UI/UX. He co-authored three papers which have been reviewed by academic conferences. The first paper is titled Redefining Education in the Digital Economy: The Role of Social Innovation based Learning in Information Systems Education, this paper was published in AMCIS 2020 and the second paper Toward a Theory of Digital Mindfulness: A Case of Smartphone-Based Self-monitoring was accepted at HCII 2021. He was also the lead author for the third paper titled Service Failure Recovery in the Sharing Economy: A Case Study of Airbnb, which has been published to HICSS 2021. He considers himself a long-life learner who is enthusiastic about learning new technologies.
Plans to graduate May 2023
Mengran Zhang is studying at San Diego State University and pursuing her bachelor’s degree in Accounting. She has interests in Accounting information systems, programming and machine learning. She joins AI4 Business Lab to work with Dr. Huangfu in Fall 2022. She will work on projects related to collecting data from the public's discussion and attitudes toward crisis topics.
Plans to graduate May 2023
Monish is an incoming Masters in Information Systems student at San Diego State University. His interests include business analytics, data analytics, and machine learning. He has worked on several projects that incorporated machine learning concepts. One of these is a project study to predict the future impact of covid-19 using Data Science and Analytics. Using current datasets and models such as LSTM, GRU, and prophet, the model predicted the likely impact of covid-19. He successfully completed this project and published it as a research paper titled "Forecasting the Potential Influence of COVID-19 Using Data Science and Analytics" at an IEEE conference (ICSES-2021).
Plans to graduate May 2023
Patrick has a San Diego State University bachelor’s degree in Management Information Systems and a minor in Computer Science. His interests are data mining, sentiment analysis, and deep learning models. He worked on several projects. Some of the tasks which he was involved with include sentiment analysis, convolutional and recurrent neural networks, and gathering large data sets. Most recently, he and Dr. Huangfu co-authored a paper titled CURVE4COVID: Comprehensive Understanding via Representative Variable Exploration for COVID-19. The paper seeks to uncover the human and non-human factors that may lead to the increase of the rate of COVID-19 infection. This paper was published in Americas Conference on Information Systems (AMCIS) 2021 and won an award for being in the top 25% of papers accepted.
Pooja is a Master's student at San Diego State University, majoring in Computer Science. Her interest lies in Data Science and Machine Learning, and have a strong background in data analysis. She did her bachelor's in Computer Engineering from the University of Mumbai in India. She believes in using her knowledge and skills to help people and give back to the community.
Plans to graduate May 2023
Ritesh is working as a Full stack Developer in Tata Consultancy Services (TCS), one of the leading IT companies across the globe. In a 13 month tenure, he has worked on numerous projects which acquainted him with the prevalent industry trends & practices also at the time of starting his masters he would have an experience of 1year 2 month. Moreover, he has been keeping himself updated with the knowledge in the computers and honing his soft skills like teamwork, decision making and leadership. He has become adept at various programming languages, UI and UX and mobile technologies. The knowledge he earned during his internships has also come in handy while working at TCS as he is now able to efficiently work on Angular js, Java,Node js and other languages as well. Among the various projects that he has worked on in TCS, the one project which focused on Data Analytics helped him recognize my passion for the subject and encouraged me to pursue a master’s degree in the same. His desire for learning new technology and software has pushed him to try his hands on social media platforms as well. This has helped him develop a confident personality and work on additional skills like writing content for social media and managing the content as per the analytics based on account reach and user engagement. Since his account has been performing extremely well, his company has also offered me a lead role in their upcoming marketing campaign. Outside the scope of academics and career, he has been active in various sports like basketball and have participated in numerous marathons as well. He has also been a part of various Olympiads such as NS0 and IMO. Aware of his responsibilities towards the community and its well-being, he has been actively involved in social welfare initiatives like tree plantation, volunteering for NGOs, etc.
Plans to graduate May 2024
Rong is a undergraduate student at Chongqing University. He is committed to using computer vision technology and machine learning to solve application problems and develop intelligent software. He is currently working on a research project researching effective graphical API recommendation and how to reduce the key information loss of megapixel image during resizing so as to better use them without splitting the original high resolution image into patches and processing them separately.
Sameer is a Graduate student at San Diego State university majoring in Big Data Analytics. His interests are Machine Learning, Natural Language Processing, and Data Analytics. Sameer enjoys using his Data Analytical skills to analyse the market trends such as the prices of Real Estate across the world. Sameer has worked on various projects and most recently he worked with Professor Huangfu on a research project where he created a Machine Learning model which predicted Airbnb listing prices, this model resulted in a RMSE factor of as low as 0.28. Sameer hopes that all of these experiences will help him dive deeper into the world of technology where he thrives to be a full time Data Analyst.
Plans to graduate May 2023
Saiprasanth Paladugula is currently enrolled as a big data analytics masters student in San Diego State University. He worked as a data scientist for 1.5 years in a company named SEW back in india. He has done my undergraduate in computer science. His interests are Machine learning, NLP, data mining, sentiment analysis, deep learning models, and Artificial intelligence. He worked on several projects related to various industries. Some of the tasks which he was involved with include convolutional and recurrent neural networks, LSTM, BERT, and general machine learning models and gathering large data sets. He has worked under professor Sarabjot Singh in his undergraduate project named unsupervised image retrieval. He have participated in hackathons and coding competitions.
Plans to graduate December 2024
Sheetal is a Software Engineer, having professional experience in business process management software development. Her background is with backend development to bring the best of system for a splendid user experience. She has completed her Bachelor’s degree in Information Technology from Pune University in India. She is enrolled in Master’s program, majoring in Computer Science at San Diego State University. She considers herself a ‘forever student’, eager to build a strong base for herself in Machine Learning and Data Engineering fields.
Plans to graduate December 2023
Sri Harsha Arigapudi is a Master’s student majoring in Management Information Systems. He holds an undergraduate degree in Computer Science and Engineering along with a year around experience as a Data Science intern at FRSLabs, Bangalore. Over his tenure, Harsha has equipped himself with a number of computer software’s such as NumPy, Pandas, OpenCV, PyTorch, HTML, CSS, Java etc. One of his best projects being – MULTI-VIEW 3D RECONSTRUCTION USING ATTENTION AND VISUAL ODOMETRY on which he has a research publication too. All in all, Harsha aims to invest his skills and time into research and development to create a great impact and bring out the best results
Plans to graduate May 2024
Thai is currently pursuing his bachelor’s degree in Computer Science at San Diego State University. His interests include machine learning, data analytics, system programming, and algorithms. He wants to work as a researcher in the field of pure mathematics and theoretical computer science.
Plans to graduate December 2023
Tian is a master student at Northwestern Polytechnical University. She recently completed her undergraduate studies in computer science and technology at Ocean University of China. She is interested in NLP and data analysis. She is currently reading papers and trying to do some research on monkeypox. She hopes to identify the research direction as soon as possible and do some valuable work in the field.
Wenhao is a master student at Chongqing University. His interests are computer vision, intelligent transportation systems, and image processing. He and Dr. Huangfu have co-authored several papers in the field of intelligent transportation, published in IEEE Transactions on Intelligent Transportation Systems and Electronics Letters. Most recently, he and Dr. Huangfu co-authored a paper titled PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification. The paper is the first to apply the visual Transformer to the field of pavement distress classification, which substantially improves the efficiency and performance of disease classification. This paper has been accepted by ACM Multimedia (ACMMM) 2022.
Xiaokai is a master's student from Northwestern Polytechnical University, who is committed to the research of speech synthesis. His undergraduate graduation topic was research on side channel attack technology based on built-in acceleration sensors, and he obtained an award for the excellent undergraduate thesis.
Yi received the B.S. degree from Chongqing Normal University, China, in 2016. He is currently pursuing the Ph.D. degree with the School of Big Data and Software Engineering, Chongqing University. His research interests include pattern recognition, image processing, and few-shot learning.
Yigui is a master student of the School of Computer Science, Northwestern Polytechnical University, China. His research interests include multi-modal data synthesis and machine learning. He is currently working on a research project on how to synthesize text under controlled conditions of sentiment and topic. He wants to continue his research on data synthesis and make a contribution to the field.
Zhiying is a master student of the School of Computer Science, Northwestern Polytechnical University, China. Her research interests include hard sampling mining and machine learning. She is currently working on solving the difficult problem of multi-modal fusion 3D multi-object tracking in adverse environments. She wants to continue research in the field of autonomous driving to make it safer.
Zeyu is a master student at the School of Big Data and Software in Chongqing University. She has researched the issue of graphic API recommendation with Professor Huangfu in the field of software engineering and has published papers at international conferences. The recommendation algorithms proposed in these papers help users save time and improve work efficiency.
Krutik is a graduate student at San Diego State University with a master's in Big Data Analytics. Krutik has a bachelor's degree in Computer Science and has about 2 years of work experience as a Business Analyst at Deloitte Consulting. Currently, he is working as a Product Management Intern at Teradata Inc., San Diego. His interest lies in Data Analytics, AI tools, Large Language Models, and Product Management.
He is planning to graduate in May 2024.
Ethan received his bachelor’s from Boston University in Management Information Systems and Finance. He is currently pursuing a Masters in Big Data Analytics at San Diego State University. He had worked previously as a Data Scientist, applying various machine learning techniques within the domains of finance and business. Such examples of professional projects include credit assessment models, mixed data-type clustering for customer segmentation, and no-code business intelligence workflow optimization. Apart from his professional endeavors, he also has taken an interest in multivariate time series analysis and natural language processing of LLMs (Large-Language Models). He is working with Professor Huangfu, on a project aimed to enhance the hallucination detection accuracy within prompted responses of LLMs.
Radhika has experience of 2.5 years at Tata Consultancy Services and a start-up company called Sigmaflux, Radhika Ravindra worked on delivering and optimizing software products for a leading American investment banking client and is proficient in Python, SQL, Tableau, Core Java, and Selenium. Radhika practiced agile methodologies and collaborated with developers from different time zones, achieving corporate awards for her quick grasping and presentation skills, impactful troubleshooting, and high productivity.
Radhika is a grad student in Big Data Analytics at San Diego State University, where she is focused on challenging her skills in applying data science tools and business analytics techniques to solve real-world problems. Proficient in Data Structures and algorithms, and scalable data science, she possesses a passion for continuous learning and innovation.
Anjali is a computer science enthusiast from San Diego, CA, is pursuing a Master's in Computer Science at San Diego State University, expected to complete by May 2025. Holder of a Bachelor's in Computer Engineering, she is particularly passionate about machine learning, large language models, deep learning, software automation, and UI/UX. Collaborating with Dr. Haungfu, Anjali is currently contributing to the LLM Hallucination Detection project. Her professional background includes a role as a Software Developer at Tata Consultancy Services, focusing on automation, Sitecore-based .NET web application development, and enhancement. Anjali has also actively participated in projects like Digital Earthworm, utilizing machine learning for crop yield prediction, and Credit Card Fraud Detection. With a robust educational foundation, a versatile skill set, and practical experience. Her passion for cutting-edge technologies and commitment to continuous learning positions her as a valuable asset in driving innovation and progress.
Simran Solanki is a second-year graduate student majoring in Big Data Analytics at SDSU, with over a year of experience as a Data Analyst at AJM Softwares, She is Proficient in analytics tools like Excel, SQL, PowerBI, Tableau, CRM softwares and email marketing platforms. She is currently contributing to the sentiment analysis of the Russia-Ukraine war project using Python. With a diverse academic background including a Bachelor's in Accounting and an MBA in HR and Marketing, Simran is known for her adaptability, curiosity, and passion for continuous learning in data analytics and business analysis.
Anagha, a graduate student at San Diego State University pursuing a master's degree in Computer Science. With a solid foundation in Computer Science from her bachelor's degree, She have accumulated approximately 2.5 years of professional experience as a Software Engineer at Accenture, India. Her primary areas of interest revolve around Data Analytics, AI tools.
Bobby Tomlinson is an undergraduate student at San Diego State University currently pursuing a double major in Computer Science and Business Management. His interests are machine learning, deep learning models, and data analytics. Recently, Bobby worked as an AI/ML Engineer Intern with the Lockheed Martin AI Consulting Group. Bobby joined the AI4Business Lab in the Fall of 2022, initially working on the financial analysis team on the Russo-Ukrainian War research project, and in Spring 2024, Bobby joined the sentiment analysis team of this project, looking to further expand his skills. In the future, Bobby looks to add value within businesses by leveraging the capabilities of artificial intelligence, and apply his skills through rapid prototyping of novel AI solutions within varied business areas.
Plans to graduate May 2025
Mohsin is a Computational Data Science Master's candidate at San Diego State University, undertaking a thesis in Generative AI and Textual Analysis. His academic foundation includes a thesis-based undergraduate degree in Computer Science from the Indian Institute of Information Technology. He has over 1.5 years of ML and software development experience from Telaeris, USA, and Rupeek, Bangalore, and have enriched his research skills through 2 years of internship experiences at AIISC and Wipro AI Labs. His work during these internships contributed to publications in AAAI and EMNLP, showcasing his dedication to advancing AI research.
His goal is to innovate, learn continuously, and contribute meaningfully in the realms of AI and data science, leveraging his skills, knowledge, and experience.
Ritik Mody is a Master of Science in Computer Science candidate at San Diego State University with a strong background in computer engineering and a passion for data science. His skills include proficiency in a variety of programming languages, web technologies, databases, and frameworks. In his internships, Ritik has experience with integrating large language models, deploying serverless applications, and building scalable database architectures.
Vedant is pursuing his Masters of Science in Big Data Analytics from San Diego State University. Vedant has been associated with AI4 Business Lab since December 2022 and has contributed to projects like War In Ukraine And The Energy Stock Market and Question Answer System Building. He has co-authored the paper Y. Liang et al., "An Interpretable Image Denoising Framework Via Dual Disentangled Representation Learning," in IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2023.3331017.
Vedant has previously worked as a developer in a startup, a freelancer for a small business, and a Business intelligence developer in large multi-national corporations.
He is poised to use his experience and skills to innovate and contribute significantly.
