Why AIClub Research Program?
AIClub’s research program is the only one that enables middle and high school students to design and execute personalized research projects on topics they are passionate about, including science, healthcare, climate, sports, music, and more. Proven wins with 250+ national and international awards and 25+ research publications in the past 2 years alone. Six patents were submitted by students using their AIClub projects! Join the program that transforms curiosity into groundbreaking research and real-world impact.Work 1:1 with expert mentors with Ph.Ds in computer science and artificial intelligence.
Every Project is Unique
We ensure that every student’s project is one of a kind. Each participant creates a unique project tailored to their specific interests and goals, fostering originality and personalized learning. No two projects are the same, allowing students to explore their passions and develop skills in a meaningful, individualized way.
Gateway to Professional Publications
We offer expert guidance for competitions and publications tailored to your project and academic level. Our support extends beyond high school journal submissions, empowering students to aim for professional publications typically pursued by graduate students and professors.
No Prerequisites Required
We offer a personalized program uniquely designed for each student, tailored to their current level of programming and AI knowledge.
Flexible and Personalized Schedules
Begin the program whenever it suits you, with no set start date. We offer flexible session times, frequency, and duration, all customized to fit the student's unique schedule and learning pace.
Unlike typical matching services that merely pair you with a researcher and step back, our mentors and instructors are our employees who are highly skilled and trained by us. We take pride in providing a high quality experience to each of our student.
250+
Student Wins!
Project Spotlight
CO2 Sensei
The pandemic directly affected the way businesses operate, threatening many people's livelihoods. Team MDS created an iPhone app that businesses and individuals can use to measure the CO2 levels around them, to help them in reopening their business.
Awards
1. Technovation Girls Grand Prize 2021
2. Project CS Girls National Winner 2021
3. Congressional App Challenge - Gift Certificate and Presentation Opportunity - Jackie Speier District 2021
4. Poster Presentation accepted to the ICML COVID/AI Workshop 2022
Climate Change
Projects to tackle the issue of the prominent threat of climate change are rising. This project uses AI to detect and measure greenhouse gases more effectively.
Awards
1. Alameda County Science Fair - 1st Place 2022
2. Special award from USAID
2022
3. CSEF - 4th Place Winner in Senior Division 2022
4. JSHS National Symposium -1st Place Poster Category in Environmental Sciences 2022
5. Paper accepted into AAAI 2022
6. Two papers accepted to the MIT Student Research Conference 2022
7. BioGENEius - Finalist 2022
AI Ballet Instruction
AI in combination with the fine arts can produce unique and interesting innovations. This student trained her AI to understand and teach ballet to students. This is a great option for many aspiring students who may not find ballet lessons accessible or affordable. This research project included innovative uses of AI to analyze video, followed by classification techniques to assess the quality of dance moves. The solution is capable of analyzing dance moves and recommending corrections for correct execution and physical safety.
Awards
1. Research paper accepted to the 21st IEEE International Conference on Machine Learning Applications - Special Session on Education (2022). The research will be published in the conference proceedings and presented live to workshop attendees.
Alzheimer's is one of the top 10 causes of death in the United States and is currently incurable. This student created an app that allows for a user to insert an MRI image, and the AI will predict the risk of Alzheimer's from Low to High risk. This AI helps with the diagnosis of Alzheimer's at an earlier stage, thereby allowing patients to try different treatment options and encouraging a more positive patient outcome.
Awards
1. Synopsys Science and Technology Championship (Santa Clara Valley Engineering Fair Association) - Special Award from the Army and Navy Corps - 2021
2. Research paper published at SPIE Workshop on Machine Learning 2022. Paper was presented live to conference attendees and appears in the SPIE 2022 Conference Proceedings.
3. Pending Patent 2022
Forecasting Alzheimers
Professional Publications
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Middle and High School Journals
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AIClub students have applied their learnings to solve real-world problems, winning national and international recognition. Here are some of their recent competition wins.
2025
AIHealth Conference
Paper Accepted
2025
Featured in Epic Gen TV
Invited to Speak
2024
JSHS Symposium
First prize in poster competition
2024
Congressional App Challenge
App won in district
2024
The Big Bang
Finalist
2024
Granted patent
Innovation
Our high-quality curriculum is designed to empower you to craft your research projects from scratch. We believe in the value of learning by doing, and our approach ensures that you not only understand theories but also put them into action in a research project.
But we don't stop at learning. We're passionate about showcasing your research to the world. We support you in publishing your work at various competitions and esteemed venues. Your research deserves to be recognized, and we're here to help you shine.
Explore AIClub Research Institute
Check out our Youtube Channel with information that is useful for students looking to conduct research and differentiate themselves.🎓🚀
How does the Research Program work?
Begin at any time of the year, with the flexibility to choose a schedule and frequency that suits your needs. Most students opt for 1-2 hours of sessions per week. Enjoy free cancellation and rescheduling with just a 3-day notice. No upfront fees—simply pay as you go, making it both easy and convenient to participate.
Dr.Nisha Talagala
Nisha Talagala is the CEO and founder of AIClub. Nisha co-founded ParallelM which pioneered the MLOps practice of managing machine learning in production. Nisha is a recognized leader in the operational ML space with more than 20 years of expertise in software development, distributed systems, technical strategy and product leadership. Nisha earned her PhD at UC Berkeley where she did research on clusters and distributed systems. Nisha co-chairs the annual conference on production machine learning (OpML). Nisha holds 68 patents in distributed systems and software, is a frequent speaker at industry and academic events, and is a contributing writer to Forbes Online/Cognitive World and other publications.
Dr.Amit Gupta
Amit Gupta is the Head of Products at AIClub. Amit has 20+ years of expertise in large-scale distributed systems design and development, and he was previously co-founder and CTO at Andale and Jasper. He holds a Ph.D. from the University of California at Berkeley, and has 50+ patents covering various aspects of Computer Networking, Distributed Systems, and Security.
Dr.Sindhu Ghanta
Sindhu Ghanta received her M.S. degree from Texas Tech University in 2010 and her Ph.D. degree in electrical and computer engineering from Northeastern University, Boston, USA. She was a Post-Doctoral Fellow with BIDMC and the Department of Pathology, Harvard Medical School, where she was involved in detection and classification of features from histopathological images. She worked as a research scientist with Parallel Machines on monitoring the health of ML algorithms in production and has many publications on ML innovations. She currently works as the Head of Machine Learning at AIClub.
Meet your mentors and advisors
Dr.Smriti H. Bhandari
Smriti H. Bhandari is an accomplished researcher and educator with over 28 years of experience in Computer Vision, Machine Learning, and Database Systems. She holds a PhD in Computer Science and Engineering and has held leadership positions at prominent engineering colleges. Smriti has developed and delivered numerous courses and workshops in data science and deep learning, and served as the principal investigator on government-funded projects with applications in medicine and industry. She has received prestigious fellowships, including the Women Scientist and Young Scientist Fellowships, and has published extensively in her field. Smriti also brings industry experience as a freelance researcher and developer.
Dr.Vani Kandasamy
Vani Kandasamy has a PhD in Information and Communication Engineering from Anna University, Chennai. Her research is focused on applying machine learning techniques to analyze large-scale datasets, resulting in several publications in reputable journals and conferences. She has 10 years of teaching experience as an Assistant Professor at PSG College of Technology. During her tenure as an Assistant Professor, she developed and taught courses on topics such as Computer Vision, Natural Language Processing, Social Network Analysis and Data Privacy. Her ability to convey complex concepts in a clear and engaging manner, fostering a collaborative learning environment, has inspired students to excel in their studies.
Swaminathan Sundararaman
Swaminathan (Swami) Sundararaman is the CTO and co-founder at Pyxeda.ai. Swami is a leader in operational machine learning, edge computing, distributed systems and storage systems. He has 10+ years of expertise in software development and machine learning. Swami holds a Ph.D. from the University of Wisconsin-Madison, and has 30+ patents in Distributed Systems, Operating Systems, Non-Volatile Memory, and storage systems. Swami co-founded the OpML and HotEdge conferences that foster upcoming innovations in operationalizing ML/DL models in production and edge computing, respectively. He serves on the steering committee and program committees of multiple technical conferences.
Venkata Duvvuri
Venkata Duvvuri is currently a Director of Data Science at Oracle Corporation and an adjunct faculty member at Northeastern University, where he teaches data analytics and machine learning. He is a results-oriented leader in data science, business analytics, digital media analytics, and web marketing optimization, with over 10 years of experience in these fields, in addition to 10 years of software engineering experience. He has held leadership roles ranging from Director to Manager at Fortune 100 companies, including marketing agencies, and has successfully managed both onshore and offshore teams. As a cross-functional leader and subject matter expert in machine learning, he has driven multimillion-dollar improvements in business and online marketing outcomes at Oracle, eBay (Triad Retail Media), Conversant (Alliance Data), and AT&T (Cricket Wireless), and has worked with large-scale data at Apple Corporation.
Venkata holds a Ph.D. in Leadership and Innovation from Purdue University, a Master’s in Computer Science from the University of Massachusetts – Amherst, and an MBA from the University of California – Davis.
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Bharath Ramsundar
Bharath Ramsundar, PhD is the founder and CEO of Deep Forest Sciences, a start-up working to accelerate the use of AI in deep tech. Dr. Ramsundar is also the lead maintainer of the DeepChem project, an open source consortium working to build software for open source medicine discovery. Bharath previously co-founded Computable, a venture-backed start-up building better tools for collaborative dataset management. Dr. Ramsundar has a Computer Science Ph.D. from Stanford University. His research and professional interests include the application of deep learning in drug discovery. Bharath is the lead author of “TensorFlow for Deep Learning :From Linear Regression to Reinforcement Learning”, a developer’s introduction to modern machine learning, with O’Reilly Media, and the lead author of “Deep Learning for the Life Sciences”.
AIClub 1:1 FAQ
Program Logistics and Contact
Prospective 1:1 students and current students, please contact info@aiclub.world